paulo037/starcoder · Datasets at Hugging Face

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__init__.py	MycroftAI/skill-date	1	1602411	<reponame>MycroftAI/skill-date # Copyright 2021, Mycroft AI Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Mycroft skill to respond to user requests for dates.""" import time from datetime import date, datetime from pathlib import Path from mycroft.messagebus.message import Message from mycroft.skills import MycroftSkill, intent_handler from mycroft.skills.intent_service import AdaptIntent from mycroft.util.format import date_time_format from mycroft.util.time import now_local from .skill import get_speakable_weekend_date, is_leap_year, Response MARK_I = "mycroft_mark_1" MARK_II = "mycroft_mark_2" class DateSkill(MycroftSkill): """Mycroft skill to respond to user requests for dates.""" def __init__(self): super().__init__("DateSkill") self.displayed_time = None # TODO: Move to reusable location @property def platform(self): """Get the platform identifier string Returns: str: Platform identifier, such as "mycroft_mark_1", "mycroft_picroft", "mycroft_mark_2". None for non-standard. """ if self.config_core and self.config_core.get("enclosure"): return self.config_core["enclosure"].get("platform") else: return None def initialize(self): """Tasks to perform after constructor but before skill is ready for use.""" date_time_format.cache(self.lang) @intent_handler(AdaptIntent().require("query").require("date").optionally("today")) def handle_current_date_request(self, _): """Respond to a request from the user for the current date. Example: "What is the date today?" """ self._handle_current_date() @intent_handler( AdaptIntent().optionally("query").require("relative-day").optionally("date") ) def handle_relative_date_request(self, request: Message): """Respond to a request from the user for a date in the past or future. Example: "What is the date in five days?" Args: request: The request from the user that triggered this intent. """ self._handle_relative_date(request) @intent_handler(AdaptIntent().require("query").require("month")) def handle_day_for_date(self, request): """Respond to a request from the user for a specific past or future date. Example: "When is July 10th?" Args: request: The request from the user that triggered this intent. """ self._handle_relative_date(request) @intent_handler(AdaptIntent().require("query").require("leap-year")) def handle_next_leap_year_request(self, _): """Respond to a request from the user for the next leap year. Example: "When is the next leap year?" """ today = now_local().date() leap_date = date(today.year, 2, 28) year = today.year if today <= leap_date else today.year + 1 while not is_leap_year(year): year += 1 self.speak_dialog("next-leap-year", data=dict(year=year)) @intent_handler("date-future-weekend.intent") def handle_future_weekend_request(self, _): saturday_date = get_speakable_weekend_date("this saturday") sunday_date = get_speakable_weekend_date("this sunday") dialog_data = dict(saturday_date=saturday_date, sunday_date=sunday_date) self.speak_dialog("date-future-weekend", data=dialog_data) @intent_handler("date-last-weekend.intent") def handle_last_weekend_request(self, _): """Respond to a request from the user for dates for the upcoming weekend. Example: "What were the dates last weekend?" """ saturday_date = get_speakable_weekend_date("last saturday") sunday_date = get_speakable_weekend_date("last sunday") dialog_data = dict(saturday_date=saturday_date, sunday_date=sunday_date) self.speak_dialog("date-last-weekend", data=dialog_data) def _handle_current_date(self): """Build, speak and display the response to a current date request.""" response = Response() response.build_current_date_response() self._respond(response) def _handle_relative_date(self, request: Message): """Build, speak and display the response to a current date request. Args: request: The request from the user that triggered this intent. """ utterance = request.data["utterance"].lower() response = Response() response.build_relative_date_response(utterance) if response.date_time is not None: self._respond(response) def _respond(self, response: Response): """Speak and display the response to a date request. Args: response: Data used by the speak/display logic to communicate the Response """ self._display(response) self.speak_dialog(response.dialog_name, response.dialog_data, wait=True) time.sleep(10) self._clear_display() def _display(self, response: Response): """Display the response to a date request if the platform supports it. Args: response: Data used by the display logic to communicate the Response """ if self.platform == MARK_I: self._display_mark_i(response) elif self.gui.connected: self._display_gui(response) def _display_mark_i(self, response: Response): """Display the response to a date request on the Mark I. This logic could be re-used for other platforms that have an Arduino faceplate with the same dimensions as the Mark I's. Args: response: Data used by the display logic to communicate the Response """ display_date = self._get_display_date(response.date_time) self.enclosure.deactivate_mouth_events() self.enclosure.mouth_text(display_date) def _get_display_date(self, date_time: datetime) -> str: """Format the datetime object returned from the parser for display purposes. Args: date_time: Contains the date that will be displayed. """ if self.config_core.get("date_format") == "MDY": display_date = date_time.strftime("%-m/%-d/%Y") else: display_date = date_time.strftime("%Y/%-d/%-m") return display_date def _display_gui(self, response: Response): """Display the response to a date request on a device using the GUI Framework. Args: response: Data used by the display logic to communicate the Response """ self.gui.clear() self.gui["weekdayString"] = response.date_time.strftime("%A").upper() self.gui["monthString"] = response.date_time.strftime("%B") self.gui["dayString"] = response.date_time.strftime("%-d") if self.platform == MARK_II: self.gui.show_page("date-mark-ii.qml") else: self.gui.show_page("date-scalable.qml") def _clear_display(self): """Clear the display medium of the date.""" if self.platform == "mycroft_mark_1": self.enclosure.mouth_reset() self.enclosure.activate_mouth_events() self.enclosure.display_manager.remove_active() elif self.gui.connected: self.gui.release() def create_skill(): """Boilerplate code used to load this skill into core.""" return DateSkill()	[ 1, 529, 276, 1112, 420, 29958, 3421, 24077, 615, 23869, 29914, 808, 453, 29899, 1256, 13, 29937, 14187, 1266, 29871, 29906, 29900, 29906, 29896, 29892, 1619, 24077, 615, 319, 29902, 9266, 29889, 13, 29937, 13, 29937, 10413, 21144, 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venv/Lib/site-packages/moderngl_window/meta/data.py	net-oil-man/Oilman-Manim-Tools	1	85218	from moderngl_window.meta.base import ResourceDescription class DataDescription(ResourceDescription): """Describes data file to load. This is a generic resource description type for loading resources that are not textures, programs and scenes. That loaded class is used depends on the ``kind`` or the file extension. Currently used to load: - text files - json files - binary files .. code:: python # Describe a text file. Text loader is used based on file extension DataDescription(path='data/text.txt') # Describe a json file. Json loader is used based on file extension DataDescription(path='data/data.json') # Describe a binary file. Specify a binary loader should be used. DataDescription(path='data/data.bin', kind='binary') """ default_kind = None resource_type = "data" def __init__(self, path=None, kind=None, kwargs): """Initialize the resource description. Keyword Args: path (str): Relative path to the resource kind (str): The resource kind deciding loader class kwargs: Additional custom attributes """ kwargs.update( {"path": path, "kind": kind} ) super().__init__(**kwargs)	[ 1, 515, 5400, 3820, 29918, 7165, 29889, 7299, 29889, 3188, 1053, 18981, 9868, 13, 13, 13, 1990, 3630, 9868, 29898, 6848, 9868, 1125, 13, 1678, 9995, 4002, 699, 5707, 848, 934, 304, 2254, 29889, 13, 13, 1678, 910, 338, 263, 10035, 6503, 6139, 1134, 13, 1678, 363, 8363, 7788, 393, 526, 451, 1426, 1973, 29892, 11104, 322, 20407, 29889, 13, 1678, 2193, 7500, 770, 338, 1304, 7111, 373, 278, 4954, 14380, 16159, 470, 278, 934, 6081, 29889, 13, 13, 1678, 15447, 1304, 304, 2254, 29901, 13, 13, 1678, 448, 1426, 2066, 13, 1678, 448, 4390, 2066, 13, 1678, 448, 7581, 2066, 13, 13, 1678, 6317, 775, 1057, 3017, 13, 13, 4706, 396, 20355, 915, 263, 1426, 934, 29889, 3992, 23466, 338, 1304, 2729, 373, 934, 6081, 13, 4706, 3630, 9868, 29898, 2084, 2433, 1272, 29914, 726, 29889, 3945, 1495, 13, 13, 4706, 396, 20355, 915, 263, 4390, 934, 29889, 14355, 23466, 338, 1304, 2729, 373, 934, 6081, 13, 4706, 3630, 9868, 29898, 2084, 2433, 1272, 29914, 1272, 29889, 3126, 1495, 13, 13, 4706, 396, 20355, 915, 263, 7581, 934, 29889, 12048, 1598, 263, 7581, 23466, 881, 367, 1304, 29889, 13, 4706, 3630, 9868, 29898, 2084, 2433, 1272, 29914, 1272, 29889, 2109, 742, 2924, 2433, 19541, 1495, 13, 1678, 9995, 13, 13, 1678, 2322, 29918, 14380, 353, 6213, 13, 1678, 6503, 29918, 1853, 353, 376, 1272, 29908, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2224, 29922, 8516, 29892, 2924, 29922, 8516, 29892, 3579, 19290, 1125, 13, 4706, 9995, 6644, 6646, 278, 6503, 6139, 29889, 13, 13, 4706, 7670, 1742, 826, 3174, 29901, 13, 9651, 2224, 313, 710, 1125, 6376, 1230, 2224, 304, 278, 6503, 13, 9651, 2924, 313, 710, 1125, 450, 6503, 2924, 1602, 4821, 23466, 770, 13, 9651, 3579, 19290, 29901, 3462, 3245, 2888, 8393, 13, 4706, 9995, 13, 4706, 9049, 5085, 29889, 5504, 29898, 13, 9651, 8853, 2084, 1115, 2224, 29892, 376, 14380, 1115, 2924, 29913, 13, 4706, 1723, 13, 4706, 2428, 2141, 1649, 2344, 12035, 1068, 19290, 29897, 13, 2 ]
othelloai/gui/__init__.py	jcarrete5/othello	0	186801	"""GUI for the othello application.""" import logging import tkinter as tk import tkinter.messagebox from random import choice as choose_from from typing import Optional from .player import GUIPlayer from .. import bitboard as bb from ..ai import ai_default, ai_options, AIOption from ..board import Board from ..color import Color, opposite_color from ..exception import OutOfTurnError from ..game import Game, GameType _logger = logging.getLogger(__name__) _game: Optional[Game] = None _my_player: Optional[GUIPlayer] = None class BoardView(tk.Canvas): """Represents the state of the board graphically.""" def __init__(self, master): self._cell_size = 80 self._border_width = 0 self._grid_line_width = 1 super().__init__( master, width=self._cell_size * 8 + self._grid_line_width * 7, height=self._cell_size * 8 + self._grid_line_width * 7, borderwidth=f"{self._border_width}", highlightthickness=0, bg="#000", ) self.pack() self.bind("<Button-1>", self.onclick) _logger.debug( "Canvas dim (%d, %d)", self.winfo_reqwidth(), self.winfo_reqheight() ) self.redraw(Board(0, 0)) def onclick(self, event): _logger.debug("BoardView clicked %s", event) if _my_player is None: _logger.debug("My player is None. Ignoring...") return col = (event.x - self._border_width) / self.winfo_reqwidth() * 8 row = (event.y - self._border_width) / self.winfo_reqheight() * 8 _logger.debug("(row=%f, col=%f)", row, col) _logger.debug("(row=%d, col=%d)", row, col) if 0 <= col < 8 and 0 <= row < 8: pos = bb.Position(int(row), int(col)) try: _my_player.make_move(pos) except OutOfTurnError: tk.messagebox.showwarning("Illegal Move", "It is not your turn!") def redraw(self, board: Board): _logger.debug("Redrawing\n%s", board) self.delete(tk.ALL) for r in range(8): for c in range(8): x_off = ( c * self._cell_size + c * self._grid_line_width + self._border_width ) y_off = ( r * self._cell_size + r * self._grid_line_width + self._border_width ) # Draw green empty cell self.create_rectangle( x_off, y_off, self._cell_size + x_off, self._cell_size + y_off, fill="#060", ) # Draw piece in cell mask = bb.pos_mask(r, c) inset = 5 fill_color = None if board.white & mask != 0: fill_color = "#fff" elif board.black & mask != 0: fill_color = "#000" if fill_color: self.create_oval( x_off + inset, y_off + inset, x_off + self._cell_size - inset, y_off + self._cell_size - inset, fill=fill_color, ) class NewGameDialog(tk.Toplevel): """Modal dialog window for creating new games.""" def __init__(self, parent, board_view: BoardView): super().__init__(parent) self.board_view = board_view self.ai_settings = dict(depth=3) # Frames self.frame = tk.Frame(self) self.frame_color = tk.LabelFrame(self.frame, text="Color") self.frame_ai = tk.LabelFrame(self.frame, text="AI") self.frame_gametype = tk.LabelFrame(self.frame, text="Opponent") self.frame_ai_settings = tk.LabelFrame(self.frame_ai, text="Settings", border=0) # Variables self.color_var = tk.StringVar(self.frame, Color.black.name) self.game_type_var = tk.StringVar(self.frame, GameType.computer.name) self.ai_var = tk.StringVar(self.frame, ai_default.name) self.depth_var = tk.IntVar(self.frame, self.ai_settings["depth"]) # Radio buttons self.radiobutton_color_black = tk.Radiobutton( self.frame_color, text="Black", variable=self.color_var, value=Color.black.name, ) self.radiobutton_color_white = tk.Radiobutton( self.frame_color, text="White", variable=self.color_var, value=Color.white.name, ) self.radiobutton_color_random = tk.Radiobutton( self.frame_color, text="Random", variable=self.color_var, value=None ) self.radiobutton_gametype_computer = tk.Radiobutton( self.frame_gametype, text="Computer", variable=self.game_type_var, value=GameType.computer.name, ) self.radiobutton_gametype_online = tk.Radiobutton( self.frame_gametype, text="Online", variable=self.game_type_var, value=GameType.online.name, state=tk.DISABLED, ) # Buttons self.button_cancel = tk.Button(self.frame, text="Cancel", command=self.cancel) self.button_start = tk.Button(self.frame, text="Start", command=self.submit) # Option menus self.optionmenu_ai = tk.OptionMenu( self.frame_ai, self.ai_var, (ai.name for ai in ai_options) ) # Spinbox self.spinbox_minmax_depth = tk.Spinbox( self.frame_ai_settings, textvariable=self.depth_var, width=5, from_=1, to=10, increment=1, ) # Labels self.label_depth = tk.Label(self.frame_ai_settings, text="Depth:") # Configure self.transient(parent) self.focus_set() self.grab_set() self.title("New Game") self.frame.pack_configure(expand=True) # Bindings self.bind("<Escape>", lambda e: self.cancel()) self.bind("<Return>", lambda e: self.submit()) self.ai_var.trace_add( "write", callback=lambda args: self._layout_ai_settings() ) self.depth_var.trace_add( "write", callback=lambda args: self.ai_settings.update(depth=self.depth_var.get()), ) self._layout() self.wait_window(self) _logger.debug("NewGameDialog closed") def _layout(self): self.frame_color.grid(row=0, column=0, sticky="n") self.radiobutton_color_black.grid(row=1, column=1, sticky="w") self.radiobutton_color_white.grid(row=2, column=1, sticky="w") self.radiobutton_color_random.grid(row=3, column=1, sticky="w") self.frame_gametype.grid(row=0, column=1, sticky="n") self.radiobutton_gametype_computer.grid(row=1, column=0, sticky="w") self.radiobutton_gametype_online.grid(row=2, column=0, sticky="w") self.frame_ai.grid(row=0, column=2, sticky="n") self.optionmenu_ai.grid(row=0, column=0, sticky="w") self._layout_ai_settings() self.button_cancel.grid(row=1, column=0) self.button_start.grid(row=1, column=1) def _layout_ai_settings(self): ai = AIOption[self.ai_var.get()] if ai is AIOption.Randy: self.frame_ai_settings.grid_remove() elif ai is AIOption.Marty: self.frame_ai_settings.grid(row=1, column=0) self.label_depth.grid(row=0, column=0) self.spinbox_minmax_depth.grid(row=0, column=1) else: assert False def cancel(self): _logger.debug("Cancel") self.destroy() def submit(self): global _game _logger.debug("Submit") if _game is not None: proceed = tk.messagebox.askokcancel( title="Start New Game", message="Another game is already in progress. Proceed?", ) if not proceed: self.destroy() self._reset_game() self.destroy() def _reset_game(self): global _game self._make_my_player() opponent = self._make_opponent_player(opposite_color(_my_player.color)) if _game is not None: _game.shutdown() _game = Game(_my_player, opponent) _game.start() def _make_my_player(self): global _my_player my_color = ( self.color_var.get() and Color[self.color_var.get()] or choose_from(list(Color)) ) _my_player = GUIPlayer( my_color, self.board_view.redraw, _show_winner, ) def _make_opponent_player(self, color: Color): game_type = GameType[self.game_type_var.get()] if game_type == GameType.computer: OpponentPlayerClass = ai_options[AIOption[self.ai_var.get()]] _logger.debug( "%s chosen with settings %s", OpponentPlayerClass.__name__, self.ai_settings, ) opponent = OpponentPlayerClass(color, *self.ai_settings) else: assert False, f"{game_type} not implemented" return opponent def _show_winner(color: Optional[Color], _: Board): if color is None: msg = "The game is drawn!" else: msg = f"{color.name.capitalize()} has won!" tk.messagebox.showinfo("Game Over", msg) def _init_widgets(root: tk.Tk): root.title("Othello") main = tk.Frame(root) main.pack_configure(expand=True) board_view = BoardView(main) menu_bar = tk.Menu(root) game_menu = tk.Menu(menu_bar, tearoff=0) game_menu.add_command( label="New Game...", command=lambda: NewGameDialog(root, board_view) ) menu_bar.add_cascade(label="Game", menu=game_menu) root.config(menu=menu_bar) # Immediately display a new game dialog NewGameDialog(root, board_view) def loop(): global _game _logger.debug("Init ui loop") try: root = tk.Tk() _init_widgets(root) root.mainloop() finally: if _game is not None: _game.shutdown()	[ 1, 9995, 29954, 3120, 363, 278, 288, 386, 3156, 2280, 1213, 15945, 13, 13, 5215, 12183, 13, 5215, 18883, 1639, 408, 18883, 13, 5215, 18883, 1639, 29889, 4906, 1884, 13, 3166, 4036, 1053, 7348, 408, 6755, 29918, 3166, 13, 3166, 19229, 1053, 28379, 13, 13, 3166, 869, 9106, 1053, 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mod_stats/tools/dlcount.py	openSUSE/mirrorbrain	24	81412	#!/usr/bin/python # Copyright 2008,2009 <NAME> # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License version 2 # as published by the Free Software Foundation; # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA # # # # Analyze Apache logfiles in order to count downloads # # # This script parses a MirrorBrain-enhanced access_log and does the following: # - select lines on that the log analysis is supposed to run # (StatsLogMask directive, which defaults to a regexp suitable for a MirrorBrain logfile) # The expression also selects data from the log line, for example the # country where a client request originated from. # - a little ring buffer filters requests recurring within a sliding time # window (keyed by ip+url+referer+user-agent # length of the sliding window: StatsDupWindow # - arbitrary log lines can be ignored by regexp (StatsIgnoreMask) # - IP addresses can be ignored by string prefix match (StatsIgnoreIP) # - apply prefiltering to the request (regular expressions with substitution) # with one or more StatsPrefilter directives # - parse the remaining request url into the values to be logged # (StatsCount directive) # - apply optional post-filtering to the parsed data (StatsPostfilter) # # # The script should serve as model implementation for the Apache module which # does the same in realtime. # # # Usage: # ./dlcount.py /var/log/apache2/download.services.openoffice.org/2009/11/download.services.openoffice.org-20091123-access_log.bz2 \| sort -u # # Uncompressed, gzip or bzip2 compressed files are transparently opened. # # # This script uses Python generators, which means that it doesn't allocate # memory according to the log size. It rather works like a Unix pipe. # (The implementation of the generator pipeline is based on David Beazley's # PyCon UK 08 great talk about generator tricks for systems programmers.) # __version__ = '0.91' __author__ = '<NAME> <<EMAIL>>' __copyright__ = 'Peter poeml <<EMAIL>>' __license__ = 'GPLv2' __url__ = 'http://mirrorbrain.org/' try: import sys import os import os.path import re import hashlib import time from datetime import datetime from optparse import OptionParser set except NameError: from sets import Set as set # Python 2.3 fallback try: sorted except NameError: def sorted(in_value): # Python 2.3 fallback "A naive implementation of sorted" out_value = list(in_value) out_value.sort() return out_value def gen_open(filenames): """Open a sequence of filenames""" import gzip import bz2 for name in filenames: if name.endswith(".gz"): yield gzip.open(name) elif name.endswith(".bz2"): yield bz2.BZ2File(name) else: yield open(name) def gen_cat(sources): """Concatenate items from one or more source into a single sequence of items""" for s in sources: for item in s: yield item def gen_grep(pat, lines): import re patc = re.compile(pat) for line in lines: if patc.search(line): yield line def gen_fragments(lines, pat): """Generate a sequence of line fragments, according to a given regular expression""" for line in lines: m = pat.match(line) if m: yield m.groups() # else: # print 'no match for:' # print line class RingBuffer: """Here is a simple circular buffer, or ring buffer, implementation in Python. It is a first-in, first-out (FIFO) buffer with a fixed size. Here is an example where the buffer size is 4. Ten integers, 0-9, are inserted, one at a time, at the end of the buffer. Each iteration, the first element is removed from the front of the buffer. buf = RingBuffer(4) for i in xrange(10): buf.append(i) print buf.get() Here are the results: [None, None, None, 0] [None, None, 0, 1] [None, 0, 1, 2] [0, 1, 2, 3] [1, 2, 3, 4] [2, 3, 4, 5] [3, 4, 5, 6] [4, 5, 6, 7] [5, 6, 7, 8] [6, 7, 8, 9] from http://www.saltycrane.com/blog/2007/11/python-circular-buffer/ """ def __init__(self, size): self.data = [None for i in xrange(size)] def append(self, x): self.data.pop(0) self.data.append(x) def get(self): return self.data def readconf(filename): """we'd need Apache's config parser here...""" known_directives = ['StatsLogMask', 'StatsIgnoreMask', 'StatsIgnoreIP', 'StatsDupWindow', 'StatsPreFilter', 'StatsCount', 'StatsPostFilter'] known_directives_lower = [i.lower() for i in known_directives] # regular expressions to parse arguments parse_1_in_quotes = re.compile(r'"(.)"') parse_2_in_quotes = re.compile(r'"(.)"\s+"(.)"') # create a dictionary to hold the config # each item is a list (because the directives could occur more than once) # each list item will correspond to one directive occurrence conf = {} for i in known_directives_lower: conf[i] = list() conf['statsdupwindow'] = 200 for line in open(filename): # remove trailing and leading whitespace and newlines line = line.strip() # ignore comment lines if line.startswith('#'): continue # and empty lines if not line: continue # split line into 1st word plus rest # will fail if it's not a valid config line try: word, val = line.split(None, 1) except: sys.exit('error: can\'t parse the line %r' % line) if word.lower() not in known_directives_lower: sys.exit('unknown config directive: %r' % word) directive = word.lower() val = val # this is just a single integer if directive in ['statsdupwindow']: conf[directive] = int(val) # directives with one argument: a regexp elif directive in ['statslogmask', 'statsignoremask']: m = parse_1_in_quotes.match(val) regex = m.group(1).replace('\\"', '"') regex_compiled = re.compile(regex) conf[directive].append((regex_compiled, regex)) # these come with two args: a regexp and a substitution rule elif directive in ['statsprefilter', 'statscount', 'statspostfilter']: m = parse_2_in_quotes.match(val) # print 'substitute %s by %s' % (m.group(1), m.group(2)) regex = m.group(1).replace('\\"', '"') subst = m.group(2).replace('\\"', '"') regex_compiled = re.compile(regex) conf[directive].append((regex_compiled, subst, regex)) elif directive in ['statsignoreip']: conf[directive].append(val) else: sys.exit('unparsed directive (implementation needed)', directive) # set defaults for directives that didn't occur in the config if not len(conf['statslogmask']): regex = '^(\S+).+\[(.?)\] "GET (\S) HTTP." (200\|302) [^"]+ "([^"])" "([^"])".* \w\w:(\w\w) ASN:' regex_compiled = re.compile(regex) conf['statslogmask'] = [(regex_compiled, regex)] #import pprint # pprint.pprint(conf) # sys.exit(0) return conf # class Countable(): # """This holds a result from a parsed log line # which consists of a date and 5 attributes""" # #def __init__(self, date, a0, a1, a2, a3, a4): # def __init__(self, (date, a0, a1, a2, a3, a4, a5)): # self.date = date # self.a0 = a0 # self.a1 = a1 # self.a2 = a2 # self.a3 = a3 # self.a4 = a4 # self.a5 = a5 class Req(): """This helps us in housekeeping while parsing a log line""" def __init__(self): # url_raw contains the original url, if needed self.url_raw = None self.tstamp = None self.tstamp_raw = None self.date = None self.status = None self.referer = None self.ua = None self.country = None # this is the processed URL, after running through all the regexps self.url = None self.countable = False def __str__(self): return '%-80s' % self.url def as_tuple(self): return self.tuple # def as_obj(self): # return Countable(self.tuple) def gen_processreqs(reqs, conf, options): """process a tuple of request data, and return the parsed in the form of a generator""" known = RingBuffer(conf['statsdupwindow']) for req in reqs: rq = Req() if len(req) == 7: (ip, tstamp_raw, url, status, referer, ua, country) = req elif len(req) == 6: (ip, tstamp_raw, url, status, referer, ua) = req country = '' skip = False for r, mreg in conf['statsignoremask']: if r.match(url): # print 'ignoring req %s because it matches %s' %(url, mreg) skip = True break if skip: continue for i in conf['statsignoreip']: if ip.startswith(i): # print 'ignoring ip %s because it matches %s' %(ip, i) skip = True break if skip: continue # over a window of StatsDupWindow last requests, the same request must # not have occured already. If it did, ignore it. If it didn't, put # it into the ring buffer. if conf['statsdupwindow'] > 0: m = hashlib.md5() m.update(ip) m.update(url) m.update(referer) m.update(ua) md = m.digest() if md in known.data: continue known.append(md) rq.url_raw = url rq.status = status rq.referer = referer rq.ua = ua rq.country = country.lower() tstamp_raw = tstamp_raw.split()[0] # split off timezone offset - we ignore it rq.tstamp = time.strptime(tstamp_raw, '%d/%b/%Y:%H:%M:%S') rq.tstamp_raw = tstamp_raw # apply the prefiltering rules for r, s, mreg in conf['statsprefilter']: url = r.sub(s, url) matched = False for r, s, mreg in conf['statscount']: if r.match(url): if matched: # FIXME: eventually, we want to allow multiple matches. But now we are debugging. sys.exit('warning: %r matches\n %r\nbut already matched a pevious regexp:\n %r' % (url, mreg, matched)) url = r.sub(s, url) matched = mreg if not matched: if options.verbose: print 'not matched', url yield rq continue # apply postfiltering for r, s, mreg in conf['statspostfilter']: url = r.sub(s, url) rq.url = url # would time.strftime("%Y-%m-%d", ...) be faster? rq.date = datetime(rq.tstamp[0], rq.tstamp[1], rq.tstamp[2]) rq.tuple = [rq.date] rq.tuple.extend(rq.url.split()) # the country is our fifth attribute rq.tuple.append(rq.country) rq.tuple = tuple(rq.tuple) rq.countable = True # print rq yield rq def main(): """ Create a generator pipeline for the matching log file lines and process them. """ usage = 'usage: %prog [options] CONFIGFILE LOGFILE [LOGFILE ...]' version = '%prog ' + __version__ parser = OptionParser(usage=usage, version=version) # parser.disable_interspersed_args() parser.add_option('--db', action="store_true", dest="db", default=False, help="save counts to the database") parser.add_option('--db-home', help="specify directory where the database lives", metavar='DIR') parser.add_option("-q", "--quiet", action="store_true", dest="quiet", default=False, help="print only errors") parser.add_option("-v", "--verbose", action="store_true", dest="verbose", default=False, help="print debug messages to stderr") (options, args) = parser.parse_args() usage = usage.replace('%prog', os.path.basename(sys.argv[0])) if len(args) < 2: sys.exit(usage) conffile = args[0] filenames = args[1:] conf = readconf(conffile) logfiles = gen_open(filenames) loglines = gen_cat(logfiles) reqs = gen_fragments(loglines, conf['statslogmask'][0][0]) items = gen_processreqs(reqs, conf, options) if options.db and not options.db_home: sys.exit('--db-home is mandatory with --db.') if options.db: dirpath = options.db_home #dirpath = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) dirpath = os.path.realpath(dirpath) os.chdir(dirpath) sys.path.insert(0, os.path.dirname(dirpath)) os.environ['DJANGO_SETTINGS_MODULE'] = 'downloadstats.settings' from downloadstats.stats.models import Counter import downloadstats.settings if downloadstats.settings.DEBUG: from django import db # print 'you are runninng in DEBUG mode. This is not recommended, because\n' \ # 'Django then saves a copy of every SQL statement it has executed.\n' \ # 'I'm installing a cleanup handler that\'ll help.' # see below, in the loop # http://docs.djangoproject.com/en/dev/faq/models/#why-is-django-leaking-memory start = time.time() counterdict = {} n = 0 get = counterdict.get for item in items: if not item.countable: continue t = item.as_tuple() n += 1 counterdict[t] = get(t, 0) + 1 delta = time.time() - start print 'processed log in %.1f seconds, found %s valid and unique requests' % (delta, n) print '%s distinct countables' % len(counterdict) start = time.time() if options.db: for key, val in counterdict.iteritems(): (date, a0, a1, a2, a3, a4) = key if downloadstats.settings.DEBUG: db.reset_queries() counter, created = Counter.objects.get_or_create(date=date, product=a0, osname=a1, version=a2, lang=a3, country=a4) if created: # count is 1 for a new item counter.count = val else: # item existed already - increase its counter 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tests/libs/datasets/zeros_filter_test.py	ConsultingMD/covid-data-model	0	111732	import more_itertools import structlog from covidactnow.datapublic.common_fields import CommonFields from libs.datasets.sources import zeros_filter from libs.pipeline import Region from tests import test_helpers from tests.test_helpers import TimeseriesLiteral import pandas as pd def test_basic(): region_tx = Region.from_state("TX") region_sf = Region.from_fips("06075") region_hi = Region.from_state("HI") # Add a timeseries with a tag to make sure they are preserved. ts_with_tag = TimeseriesLiteral( [0, 0, 0], annotation=[test_helpers.make_tag(date="2020-04-01")] ) ds_in = test_helpers.build_dataset( { region_tx: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 0]}, region_sf: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 1]}, region_hi: { CommonFields.VACCINES_DISTRIBUTED: [0, 0, None], CommonFields.CASES: ts_with_tag, }, } ) with structlog.testing.capture_logs() as logs: ds_out = zeros_filter.drop_all_zero_timeseries(ds_in, [CommonFields.VACCINES_DISTRIBUTED]) ds_expected = test_helpers.build_dataset( { region_sf: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 1]}, region_hi: {CommonFields.CASES: ts_with_tag}, } ) log = more_itertools.one(logs) assert log["event"] == zeros_filter.DROPPING_TIMESERIES_WITH_ONLY_ZEROS assert pd.MultiIndex.from_tuples( [ (region_hi.location_id, CommonFields.VACCINES_DISTRIBUTED), (region_tx.location_id, CommonFields.VACCINES_DISTRIBUTED), ] ).equals(log["dropped"]) test_helpers.assert_dataset_like(ds_expected, ds_out)	[ 1, 1053, 901, 29918, 1524, 8504, 13, 5215, 2281, 1188, 13, 3166, 18838, 333, 627, 3707, 29889, 4130, 481, 803, 29889, 9435, 29918, 9621, 1053, 13103, 14256, 13, 13, 3166, 4303, 29879, 29889, 14538, 1691, 29889, 29879, 2863, 1053, 24786, 29918, 4572, 13, 3166, 4303, 29879, 29889, 13096, 5570, 1053, 11069, 13, 3166, 6987, 1053, 1243, 29918, 3952, 6774, 13, 3166, 6987, 29889, 1688, 29918, 3952, 6774, 1053, 10277, 6358, 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fypy/model/levy/__init__.py	jkirkby3/fypy	16	1611163	<filename>fypy/model/levy/__init__.py from fypy.model.levy.VarianceGamma import VarianceGamma from fypy.model.levy.BlackScholes import BlackScholes from fypy.model.levy.CGMY import CMGY from fypy.model.levy.KouJD import KouJD from fypy.model.levy.MertonJD import MertonJD from fypy.model.levy.NIG import NIG	[ 1, 529, 9507, 29958, 29888, 1478, 29891, 29914, 4299, 29914, 2608, 29891, 29914, 1649, 2344, 26914, 2272, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 9037, 8837, 6642, 1053, 11681, 8837, 6642, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 18700, 4504, 6544, 1053, 6054, 4504, 6544, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 11135, 17870, 1053, 315, 29924, 29954, 29979, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 29968, 283, 29967, 29928, 1053, 476, 283, 29967, 29928, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 29924, 28634, 29967, 29928, 1053, 341, 28634, 29967, 29928, 13, 3166, 285, 1478, 29891, 29889, 4299, 29889, 2608, 29891, 29889, 29940, 6259, 1053, 405, 6259, 2 ]
challenges/2021-10-26-the-24-game/solutions/mob/mob.py	JenniferToops/CodingDojo	34	137990	<gh_stars>10-100 import unittest """ # The 24 Game The `24` game is played as follows. You are given a list of four integers, each in a fixed order. By placing the operators +, -, , and / between the numbers, and grouping them with parentheses, determine whether it is possible to reach the value `24`. For example, given the input [5, 2, 7, 8], you should return True, since (5 2 - 7) * 8 = 24. Write a function that plays the `24` game. ## Business Rules/Errata - Your input will always consist of an array of four integers. These integers do not all need to be positive. - Your function should return a boolean value indicating whether the input can be combined to produce `24`. You do not need to produce the formula that yields `24`. - The results of any division operation should be rounded to the nearest integer. So, `3 / 2 = 2`, not `3 / 2 = 1`. - The result of division by zero should be zero, not undefined. ## Examples ``` play([5, 2, 7, 8]); // True -> (5 * 2 - 7) * 8 = 24 play([2, 4, 8, 10]); // True -> 2 + 4 + 8 + 10 = 24 play([5, 0, 4, 4]); // True -> (5 + 0) * 4 + 4 = 24 play([47, 2, 0, 0]); // True -> (47 / 2) + 0 + 0 = 24 play([1, 5, 7, 19]); // False, no combinations yield 24 ``` """ # depth first search through a tree # use a STACK - last in/first out # Keep track of: # The stack of lists to operate on def play(int_list): # Create a STACK (aka list) stack = [int_list] # While the stack is not empty while stack: # Pop an item (sublist) off the stack sublist = stack.pop() # If your sublist is length 1: if len(sublist) == 1: # if the only number in sublist is 24, return True. if sublist[0] == 24: return True # Otherwise, throw out sublist and go back to the start of the while loop continue # For each pair of items in sublist for i in range(len(sublist) - 1): # Do all four operations on the pair of items, collect in a list called RESULTS first, second = sublist[i], sublist[i + 1] results = [first + second, first - second, first * second] results.append(0 if second == 0 else round(first / second)) # For each result in RESULTS for result in results: # Create a list (from sublist) replacing the two input numbers with result current = sublist[:i] + [result] + sublist[i + 2:] # add the new, smaller list to the stack stack.append(current) # Return False return False class TestPlay(unittest.TestCase): def setUp(self): self.prod_sub_prod = [5, 2, 7, 8] self.addition = [2, 4, 8, 10] self.subtraction = [27, 1, 1, 1] self.add_prod_add = [5, 0, 4, 4] self.div_roundup = [47, 2, 0, 0] self.div_rounddown = [1, 1, 73, 3] self.fail = [1, 5, 7, 19] def test_prod_sub_prod(self): self.assertTrue(play(self.prod_sub_prod), "(5 * 2 - 7) * 8 = 24 -> True") def test_addition(self): self.assertTrue(play(self.addition), "2 + 4 + 8 + 10 = 24 -> True") def test_subtraction(self): self.assertTrue(play(self.subtraction), "27 - 1 - 1 - 1 = 24 -> True") def test_add_prod_add(self): self.assertTrue(play(self.add_prod_add), "(5 + 0) * 4 + 4 = 24 -> True") def test_div_roundup(self): self.assertTrue(play(self.div_roundup), "47 / 2 + 0 + 0 = 23.5 -> 24 -> True") def test_div_rounddown(self): self.assertTrue(play(self.div_rounddown), "1 - 1 + (73 / 3) = 24.33 -> 24 -> True") def test_fail(self): self.assertFalse(play(self.fail), "1 ? 5 ? 7 ? 19 != 24 -> False") def tearDown(self): pass if __name__ == "__main__": unittest.main()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29900, 29899, 29896, 29900, 29900, 13, 5215, 443, 27958, 13, 13, 15945, 29908, 13, 29937, 450, 29871, 29906, 29946, 8448, 13, 13, 1576, 421, 29906, 29946, 29952, 3748, 338, 5318, 408, 4477, 29889, 887, 526, 2183, 263, 1051, 310, 3023, 11920, 29892, 1269, 297, 263, 4343, 1797, 29889, 2648, 13, 24421, 278, 12768, 718, 29892, 448, 29892, 334, 29892, 322, 847, 1546, 278, 3694, 29892, 322, 27270, 963, 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create_dataset.py	KiLJ4EdeN/COVID_WEB	5	1615527	# Import dependencies. import os import numpy as np import cv2 from scipy.io import savemat # Create labels. C = np.ones((349,)) N = np.zeros((397,)) labels = np.concatenate((C, N), axis=0) # Load the datased and resize to imagenet size. covid = os.listdir('CT_COVID') n_covid = os.listdir('CT_NonCOVID') data=[] for img_path in covid: img = cv2.imread('CT_COVID/'+img_path, cv2.IMREAD_COLOR) data.append(cv2.resize(img, (224, 224))) for img_path in n_covid: img = cv2.imread('CT_NonCOVID/'+img_path, cv2.IMREAD_COLOR) data.append(cv2.resize(img, (224, 224))) # Normalization. data = np.array(data)/255. print(data.shape) print(labels.shape) # Save the data. savemat('images.mat', {'data': data, 'labels': labels})	[ 1, 396, 16032, 9962, 29889, 13, 5215, 2897, 13, 5215, 12655, 408, 7442, 13, 5215, 13850, 29906, 13, 3166, 4560, 2272, 29889, 601, 1053, 4048, 4579, 13, 13, 29937, 6204, 11073, 29889, 13, 29907, 353, 7442, 29889, 2873, 3552, 29941, 29946, 29929, 29892, 876, 13, 29940, 353, 7442, 29889, 3298, 359, 3552, 29941, 29929, 29955, 29892, 876, 13, 21134, 353, 7442, 29889, 535, 29883, 2579, 403, 3552, 29907, 29892, 405, 511, 9685, 29922, 29900, 29897, 13, 13, 29937, 16012, 278, 1418, 1463, 322, 19490, 304, 527, 5370, 300, 2159, 29889, 13, 24542, 333, 353, 2897, 29889, 1761, 3972, 877, 1783, 29918, 3217, 13044, 1495, 13, 29876, 29918, 24542, 333, 353, 2897, 29889, 1761, 3972, 877, 1783, 29918, 12283, 3217, 13044, 1495, 13, 1272, 29922, 2636, 13, 13, 13, 1454, 10153, 29918, 2084, 297, 18838, 333, 29901, 13, 29871, 10153, 353, 13850, 29906, 29889, 326, 949, 877, 1783, 29918, 3217, 13044, 29914, 18717, 2492, 29918, 2084, 29892, 13850, 29906, 29889, 7833, 16310, 29918, 15032, 1955, 29897, 13, 29871, 848, 29889, 4397, 29898, 11023, 29906, 29889, 21476, 29898, 2492, 29892, 313, 29906, 29906, 29946, 29892, 29871, 29906, 29906, 29946, 4961, 13, 259, 13, 13, 1454, 10153, 29918, 2084, 297, 302, 29918, 24542, 333, 29901, 13, 29871, 10153, 353, 13850, 29906, 29889, 326, 949, 877, 1783, 29918, 12283, 3217, 13044, 29914, 18717, 2492, 29918, 2084, 29892, 13850, 29906, 29889, 7833, 16310, 29918, 15032, 1955, 29897, 13, 29871, 848, 29889, 4397, 29898, 11023, 29906, 29889, 21476, 29898, 2492, 29892, 313, 29906, 29906, 29946, 29892, 29871, 29906, 29906, 29946, 4961, 13, 259, 13, 29937, 21981, 2133, 29889, 13, 1272, 353, 7442, 29889, 2378, 29898, 1272, 6802, 29906, 29945, 29945, 29889, 13, 2158, 29898, 1272, 29889, 12181, 29897, 13, 2158, 29898, 21134, 29889, 12181, 29897, 13, 13, 29937, 16913, 278, 848, 29889, 13, 29879, 485, 4579, 877, 8346, 29889, 2922, 742, 11117, 1272, 2396, 848, 29892, 13, 462, 308, 525, 21134, 2396, 11073, 1800, 13, 2 ]
test.py	Aaron-Jin-Xu/DataIO	1	142915	from utils.io import inspect_data_dirs from configs import DATA_DIRS inspect_data_dirs(DATA_DIRS)	[ 1, 515, 3667, 29879, 29889, 601, 1053, 16096, 29918, 1272, 29918, 3972, 29879, 13, 3166, 2295, 29879, 1053, 360, 8254, 29918, 9464, 29903, 13, 13, 1144, 1103, 29918, 1272, 29918, 3972, 29879, 29898, 14573, 29918, 9464, 29903, 29897, 13, 2 ]
river/optim/base.py	online-ml/creme	1,105	47902	import abc import numbers from typing import Union import numpy as np from river import base, optim, utils VectorLike = Union[utils.VectorDict, np.ndarray] __all__ = ["Initializer", "Scheduler", "Optimizer", "Loss"] class Initializer(base.Base, abc.ABC): """An initializer is used to set initial weights in a model.""" @abc.abstractmethod def __call__(self, shape=1): """Returns a fresh set of weights. Parameters ---------- shape Indicates how many weights to return. If `1`, then a single scalar value will be returned. """ class Scheduler(base.Base, abc.ABC): """Can be used to program the learning rate schedule of an `optim.base.Optimizer`.""" @abc.abstractmethod def get(self, t: int) -> float: """Returns the learning rate at a given iteration. Parameters ---------- t The iteration number. """ def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Optimizer(base.Base): """Optimizer interface. Every optimizer inherits from this base interface. Parameters ---------- lr Attributes ---------- learning_rate : float Returns the current learning rate value. """ def __init__(self, lr: Union[Scheduler, float]): if isinstance(lr, numbers.Number): lr = optim.schedulers.Constant(lr) self.lr = lr self.n_iterations = 0 @property def learning_rate(self) -> float: return self.lr.get(self.n_iterations) def look_ahead(self, w: dict) -> dict: """Updates a weight vector before a prediction is made. Parameters: w (dict): A dictionary of weight parameters. The weights are modified in-place. Returns: The updated weights. """ return w def _step_with_dict(self, w: dict, g: dict) -> dict: raise NotImplementedError def _step_with_vector(self, w: VectorLike, g: VectorLike) -> VectorLike: raise NotImplementedError def step( self, w: Union[dict, VectorLike], g: Union[dict, VectorLike] ) -> Union[dict, VectorLike]: """Updates a weight vector given a gradient. Parameters ---------- w A vector-like object containing weights. The weights are modified in-place. g A vector-like object of gradients. Returns ------- The updated weights. """ if isinstance(w, VectorLike.__args__) and isinstance(g, VectorLike.__args__): try: w = self._step_with_vector(w, g) self.n_iterations += 1 return w except NotImplementedError: pass w = self._step_with_dict(w, g) self.n_iterations += 1 return w def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Loss(base.Base, abc.ABC): """Base class for all loss functions.""" def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" @abc.abstractmethod def __call__(self, y_true, y_pred): """Returns the loss. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The loss(es). """ @abc.abstractmethod def gradient(self, y_true, y_pred): """Return the gradient with respect to y_pred. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The gradient(s). """ @abc.abstractmethod def mean_func(self, y_pred): """Mean function. This is the inverse of the link function. Typically, a loss function takes as input the raw output of a model. In the case of classification, the raw output would be logits. The mean function can be used to convert the raw output into a value that makes sense to the user, such as a probability. Parameters ---------- y_pred Raw prediction(s). Returns ------- The adjusted prediction(s). References ---------- [^1]: [Wikipedia section on link and mean function](https://www.wikiwand.com/en/Generalized_linear_model#/Link_function) """	[ 1, 1053, 25638, 13, 5215, 3694, 13, 3166, 19229, 1053, 7761, 13, 13, 5215, 12655, 408, 7442, 13, 13, 3166, 8580, 1053, 2967, 29892, 5994, 29892, 3667, 29879, 13, 13, 12877, 27552, 353, 7761, 29961, 13239, 29889, 12877, 21533, 29892, 7442, 29889, 299, 2378, 29962, 13, 13, 13, 1649, 497, 1649, 353, 6796, 15514, 3950, 613, 376, 4504, 14952, 613, 376, 20624, 326, 3950, 613, 376, 29931, 2209, 3108, 13, 13, 13, 1990, 17250, 3950, 29898, 3188, 29889, 5160, 29892, 25638, 29889, 19658, 1125, 13, 1678, 9995, 2744, 2847, 3950, 338, 1304, 304, 731, 2847, 18177, 297, 263, 1904, 1213, 15945, 13, 13, 1678, 732, 10736, 29889, 16595, 5696, 13, 1678, 822, 4770, 4804, 12035, 1311, 29892, 8267, 29922, 29896, 1125, 13, 4706, 9995, 11609, 29879, 263, 10849, 731, 310, 18177, 29889, 13, 13, 4706, 12662, 2699, 13, 4706, 448, 1378, 29899, 13, 4706, 8267, 13, 9651, 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blog/templatetags/markdownify.py	darkLord19/blog	12	26658	from django import template import mistune register = template.Library() @register.filter def markdown(value): markdown = mistune.Markdown() return markdown(value)	[ 1, 515, 9557, 1053, 4472, 13, 5215, 5862, 1540, 13, 13, 9573, 353, 4472, 29889, 12284, 580, 13, 13, 13, 29992, 9573, 29889, 4572, 13, 1753, 2791, 3204, 29898, 1767, 1125, 13, 1678, 2791, 3204, 353, 5862, 1540, 29889, 9802, 3204, 580, 13, 1678, 736, 2791, 3204, 29898, 1767, 29897, 13, 2 ]
problem0231.py	kmarcini/Project-Euler-Python	0	50155	########################### # # #231 The prime factorisation of binomial coefficients - Project Euler # https://projecteuler.net/problem=231 # # Code by <NAME> # ###########################	[ 1, 835, 13383, 7346, 13, 29937, 13, 29937, 396, 29906, 29941, 29896, 450, 6019, 7329, 4371, 310, 9016, 7615, 16127, 448, 8010, 382, 8584, 13, 29937, 2045, 597, 4836, 29872, 8584, 29889, 1212, 29914, 17199, 29922, 29906, 29941, 29896, 13, 29937, 13, 29937, 5920, 491, 529, 5813, 29958, 13, 29937, 13, 13383, 7346, 2277, 29937, 13, 2 ]
measurements/update_measurements.py	gvvynplaine/AutoEq	1	82125	<filename>measurements/update_measurements.py<gh_stars>1-10 # -- coding: utf-8 -- import os import sys import argparse from glob import glob from selenium import webdriver from selenium.webdriver.chrome.options import Options sys.path.insert(1, os.path.realpath(os.path.join(sys.path[0], os.pardir))) from measurements.rtings.rtings_crawler import RtingsCrawler from measurements.oratory1990.oratory1990_crawler import Oratory1990Crawler from measurements.crinacle.crinacle_crawler import CrinacleCrawler from measurements.referenceaudioanalyzer.reference_audio_analyzer_crawler import ReferenceAudioAnalyzerCrawler from measurements.average import average_measurements DIR_PATH = os.path.abspath(os.path.join(__file__, os.pardir)) def main(crinacle=False, oratory1990=False, rtings=False, referenceaudioanalyzer=False, prompt=False): classes = [] if not (crinacle \| oratory1990 \| rtings \| referenceaudioanalyzer): # None means all crinacle = True oratory1990 = True rtings = True referenceaudioanalyzer = True if crinacle: classes.append(CrinacleCrawler) if oratory1990: classes.append(Oratory1990Crawler) if rtings: classes.append(RtingsCrawler) if referenceaudioanalyzer: classes.append(ReferenceAudioAnalyzerCrawler) if Oratory1990Crawler in classes or ReferenceAudioAnalyzerCrawler in classes or RtingsCrawler in classes: # oratory1990 and Reference Audio Analyzer crawlers require Selenium Web Driver opts = Options() opts.add_argument('--headless') driver = webdriver.Chrome(os.path.join(DIR_PATH, 'chromedriver'), options=opts) else: driver = None for cls in classes: print(f'Running {cls.__name__}') crawler = cls(driver=driver) crawler.process_new(prompt=prompt) crawler.write_name_index() for dir_path in glob(os.path.join(DIR_PATH, '', 'data', '')): average_measurements(input_dir=dir_path, output_dir=dir_path) if driver is not None: driver.close() def create_cli(): parser = argparse.ArgumentParser() parser.add_argument('--crinacle', action='store_true', help='Update Crinacle measurements?') parser.add_argument('--oratory1990', action='store_true', help='Update oratory1990 measurements?') parser.add_argument('--rtings', action='store_true', help='Update Rtings measurements?') parser.add_argument('--referenceaudioanalyzer', action='store_true', help='Update Reference Audio Analyzer measurements?') parser.add_argument('--prompt', action='store_true', help='Prompt for true names and forms?') return vars(parser.parse_args()) if __name__ == '__main__': main(**create_cli())	[ 1, 529, 9507, 29958, 26658, 1860, 29914, 5504, 29918, 26658, 1860, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 5215, 2897, 13, 5215, 10876, 13, 5215, 1852, 5510, 13, 3166, 13149, 1053, 13149, 13, 3166, 18866, 1053, 1856, 9465, 13, 3166, 18866, 29889, 29813, 29889, 18114, 29889, 6768, 1053, 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01-Exercicios/Aula001/Ex2.py	AmandaRH07/Python_Entra21	0	23501	#--- Exercício 2 - Variáveis #--- Crie um menu para um sistema de cadastro de funcionários #--- O menu deve ser impresso com a função format() #--- As opções devem ser variáveis do tipo inteiro #--- As descrições das opções serão: #--- Cadastrar funcionário #--- Listar funcionários #--- Editar funcionário #--- Deletar funcionário #--- Sair #--- Além das opções o menu deve conter um cabeçalho e um rodapé #--- Entre o cabeçalho e o menu e entre o menu e o rodapé deverá ter espaçamento de 3 linhas #--- Deve ser utilizado os caracteres especiais de quebra de linha e de tabulação opcao = int(input(""" SISTEMA DE CADASTRO DE FUNCIONARIO\n\n\n {} - Cadastrar Funcionário {} - Listar Funcinários {} - Editar Funcionário {} - Deletar Funcionário {} - Sair\n\n\n Escolha uma opção: """.format(1,2,3,4,5))) if opcao == 1: print("A opção escolhida foi 'Cadastrar funcionário'") elif opcao == 2: print("A opção escolhida foi 'Listar funcionários'") elif opcao == 3: print("A opção escolhida foi 'Editar funcionário'") elif opcao == 4: print("A opção escolhida foi 'Deletar funcionário'") elif opcao == 5: print("A opção escolhida foi 'Sair'") else: pass	[ 1, 396, 5634, 1222, 6269, 24394, 29871, 29906, 29871, 448, 9586, 29976, 27072, 13, 29937, 5634, 315, 2546, 1922, 6143, 1702, 1922, 10502, 316, 13840, 23364, 316, 21802, 26047, 13, 29937, 5634, 438, 6143, 28542, 724, 21210, 29877, 419, 263, 2090, 2340, 3402, 580, 13, 29937, 5634, 1094, 1015, 5616, 2906, 331, 724, 1197, 29976, 27072, 437, 13306, 2293, 3350, 13, 29937, 5634, 1094, 2342, 5616, 1697, 1015, 5616, 724, 1368, 29901, 13, 29937, 5634, 1678, 315, 3922, 509, 279, 21802, 12288, 13, 29937, 5634, 1678, 2391, 279, 21802, 26047, 13, 29937, 5634, 1678, 2155, 3673, 21802, 12288, 13, 29937, 5634, 1678, 897, 1026, 279, 21802, 12288, 13, 29937, 5634, 1678, 317, 1466, 13, 29937, 5634, 838, 2249, 1697, 1015, 5616, 288, 6143, 28542, 378, 357, 1922, 27444, 30019, 284, 1251, 321, 1922, 15382, 481, 29948, 13, 29937, 5634, 14447, 288, 27444, 30019, 284, 1251, 321, 288, 6143, 321, 2637, 288, 6143, 321, 288, 15382, 481, 29948, 316, 369, 29976, 1935, 9015, 30019, 4487, 316, 29871, 29941, 6276, 5349, 13, 29937, 5634, 897, 345, 724, 11824, 912, 2897, 15215, 267, 4740, 1512, 275, 316, 712, 2634, 316, 6276, 2350, 321, 316, 4434, 2497, 2340, 13, 13, 459, 1113, 29877, 353, 938, 29898, 2080, 703, 15945, 13, 5425, 1254, 26862, 5012, 315, 3035, 28938, 1672, 5012, 383, 3904, 29907, 2725, 1718, 5971, 29905, 29876, 29905, 29876, 29905, 29876, 13, 1678, 6571, 448, 315, 3922, 509, 279, 383, 4661, 291, 12288, 13, 1678, 6571, 448, 2391, 279, 383, 4661, 262, 26047, 13, 1678, 6571, 448, 2155, 3673, 383, 4661, 291, 12288, 13, 1678, 6571, 448, 897, 1026, 279, 383, 4661, 291, 12288, 13, 1678, 6571, 448, 317, 1466, 29905, 29876, 29905, 29876, 29905, 29876, 13, 1678, 3423, 1054, 2350, 3672, 1015, 2340, 29901, 29871, 5124, 1642, 4830, 29898, 29896, 29892, 29906, 29892, 29941, 29892, 29946, 29892, 29945, 4961, 13, 13, 361, 1015, 1113, 29877, 1275, 29871, 29896, 29901, 13, 1678, 1596, 703, 29909, 1015, 2340, 25224, 29882, 1458, 4732, 525, 29907, 3922, 509, 279, 21802, 12288, 29915, 1159, 13, 23681, 1015, 1113, 29877, 1275, 29871, 29906, 29901, 13, 1678, 1596, 703, 29909, 1015, 2340, 25224, 29882, 1458, 4732, 525, 1293, 279, 21802, 26047, 29915, 1159, 13, 23681, 1015, 1113, 29877, 1275, 29871, 29941, 29901, 13, 1678, 1596, 703, 29909, 1015, 2340, 25224, 29882, 1458, 4732, 525, 3853, 3673, 21802, 12288, 29915, 1159, 13, 23681, 1015, 1113, 29877, 1275, 29871, 29946, 29901, 13, 1678, 1596, 703, 29909, 1015, 2340, 25224, 29882, 1458, 4732, 525, 2772, 1026, 279, 21802, 12288, 29915, 1159, 13, 23681, 1015, 1113, 29877, 1275, 29871, 29945, 29901, 13, 1678, 1596, 703, 29909, 1015, 2340, 25224, 29882, 1458, 4732, 525, 29903, 1466, 29915, 1159, 13, 2870, 29901, 13, 1678, 1209, 13, 13, 2 ]
stage/factory/base.py	daveshed/linearstage	0	74621	#pylint: disable=missing-docstring #pyling: enable=missing-docstring import abc class StageFactoryBase(abc.ABC): """ The factory base class that provides necessary objects required to instantiate a Stage object. """ @abc.abstractproperty def minimum_position(self): """The stage minimum position""" return @abc.abstractproperty def maximum_position(self): """The stage maximum position""" return @abc.abstractproperty def motor(self): """The motor to be used by the stage""" return @abc.abstractproperty def end_stop(self): """ End stop object that is triggered when the stage reaches the end of its travel """ return	[ 1, 396, 2272, 27854, 29901, 11262, 29922, 27259, 29899, 1514, 1807, 13, 29937, 2272, 1847, 29901, 9025, 29922, 27259, 29899, 1514, 1807, 13, 5215, 25638, 13, 13, 13, 1990, 24906, 5126, 5160, 29898, 10736, 29889, 19658, 1125, 13, 1678, 9995, 13, 1678, 450, 12529, 2967, 770, 393, 8128, 5181, 3618, 3734, 304, 13, 1678, 25112, 263, 24906, 1203, 29889, 13, 1678, 9995, 13, 1678, 732, 10736, 29889, 16595, 6799, 13, 1678, 822, 9212, 29918, 3283, 29898, 1311, 1125, 13, 4706, 9995, 1576, 7408, 9212, 2602, 15945, 29908, 13, 4706, 736, 13, 13, 1678, 732, 10736, 29889, 16595, 6799, 13, 1678, 822, 7472, 29918, 3283, 29898, 1311, 1125, 13, 4706, 9995, 1576, 7408, 7472, 2602, 15945, 29908, 13, 4706, 736, 13, 13, 1678, 732, 10736, 29889, 16595, 6799, 13, 1678, 822, 10992, 29898, 1311, 1125, 13, 4706, 9995, 1576, 10992, 304, 367, 1304, 491, 278, 7408, 15945, 29908, 13, 4706, 736, 13, 13, 1678, 732, 10736, 29889, 16595, 6799, 13, 1678, 822, 1095, 29918, 9847, 29898, 1311, 1125, 13, 4706, 9995, 13, 4706, 2796, 5040, 1203, 393, 338, 19799, 746, 278, 7408, 22170, 278, 1095, 310, 13, 4706, 967, 9850, 13, 4706, 9995, 13, 4706, 736, 13, 2 ]
sps/sps/doctype/attendance_sheet/attendance_sheet.py	tushar7724/SPS	0	135641	<reponame>tushar7724/SPS # -- coding: utf-8 -- # Copyright (c) 2019, <NAME> and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.utils import cint, flt, add_months, today, date_diff, getdate, add_days, cstr, nowdate from frappe.model.document import Document class AttendanceSheet(Document): def get_period_date_days(self): from datetime import date, timedelta d1 = getdate(self.start_date) d2 = getdate(self.end_date) delta = d2 - d1 # timedelta dates_days = [] for i in range(delta.days + 1): x = (d1 + timedelta(i)) x = str(x).split("-") dates_days.append(x[2]) return dates_days def get_contracts(self): period_doc = frappe.get_doc('Payroll Period', self.period) conditions = " and tc.start_date <= '%s' and tc.end_date >= '%s'" %(str(period_doc.end_date), str(period_doc.start_date)) if self.customer: conditions +=" and tc.party_name = '%s'" % (self.customer) if self.site: conditions +=" and tc.bu_site = '%s'" % (self.site) if self.contract: conditions +=" and tc.name = '%s'" % (self.contract) if self.branch_manager: conditions += " and tbu.branch_manager= '%s'" %(self.branch_manager) if self.area_officer: conditions += " and tbu.area_officer= '%s'" %(self.area_officer) #contract = frappe.db.sql("""select distinct name,contract_name,party_name,bu_site_name from`tabContract` where docstatus=1 %s ORDER BY contract_name""" %(conditions),as_dict=1) contract= frappe.db.sql(""" select distinct tc.name, tc.contract_name, tc.party_name, tc.bu_site_name from`tabContract` tc Inner join `tabBusiness Unit` tbu on tbu.name= tc.bu_site where tc.docstatus=1 and tc.status= 'Active' %s ORDER BY tc.contract_name; """%(conditions),as_dict=1) data={} if contract: for c in contract: pd = frappe.db.sql( """select parent,employee,employee_name,work_type,from_date,to_date from`tabPeople Posting` where employee !="" and parent='%s' and docstatus=1 """ % (c.name), as_dict=1) if pd: for idx,pdd in enumerate(pd): pdd['contract_id']=c.name pdd['contract_name']=c.contract_name pdd['party_name']=c.party_name pdd['bu_site_name']=c.bu_site_name if c.name in data: data[c.name]+= pd else:data[c.name]= pd print"######### Total No.of Attendance Sheet( Contracts ): %s ############" % len(data) return data or {}	[ 1, 529, 276, 1112, 420, 29958, 29873, 1878, 279, 29955, 29955, 29906, 29946, 29914, 5550, 29903, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29929, 29892, 529, 5813, 29958, 322, 17737, 29560, 13, 29937, 1152, 19405, 2472, 29892, 3113, 1074, 19405, 29889, 3945, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 5215, 5227, 4798, 13, 3166, 5227, 4798, 29889, 13239, 1053, 274, 524, 29892, 1652, 29873, 29892, 788, 29918, 10874, 29879, 29892, 9826, 29892, 2635, 29918, 12765, 29892, 679, 1256, 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power4.py	valentinp72/PuissanceQuatre_bot	0	160924	<gh_stars>0 ''' power4.py <NAME> - 14/10/2016 MIT License Version 0.1 ==== This is the main file for the twitter bot power4 ''' # ------- # Imports import tweepy import sys import os # Import config file from config import * from msgLogger import * from gridFunctions import * # --------- # Init game game = [[0 for x in range(N_COLUMN)] for x in range(N_LINE)] # Clear terminal and print log os.system('clear') logMsg(HEADER, "power4", "Loading power4 bot ...\n") # --------------- # Auth to twitter auth = tweepy.OAuthHandler(Consumer_Key, Consumer_Secret) auth.set_access_token(Access_Key, Access_Secret) try: redirect_url = auth.get_authorization_url() logMsg(SUCCESS, "Twitter", "Successfully logged in Twitter.") except tweepy.TweepError: logMsg(FAIL, "Twitter", "Error! Wrong tokens. Check your config.py (or configSAMPLE.py if not present).") sys.exit() api = tweepy.API(auth) column = 2 line = addPiece(game, PLAYER_1, column) if line == -1: print "error" else: print "Piece added in : ["+ str(line) + "]["+str(column)+"]" printGame(game) logMsg(WARNING, "power4", "End of power4.py, quitting.") #api.update_status('Yeah, that rocks!')	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 12008, 13, 1678, 3081, 29946, 29889, 2272, 13, 1678, 529, 5813, 29958, 448, 29871, 29896, 29946, 29914, 29896, 29900, 29914, 29906, 29900, 29896, 29953, 13, 1678, 341, 1806, 19245, 13, 1678, 10079, 29871, 29900, 29889, 29896, 13, 13, 1678, 1275, 1360, 13, 13, 1678, 910, 338, 278, 1667, 934, 363, 278, 23394, 9225, 3081, 29946, 13, 13, 12008, 13, 13, 29937, 448, 22158, 13, 29937, 1954, 4011, 13, 5215, 7780, 1022, 29891, 13, 5215, 10876, 13, 5215, 2897, 13, 13, 29937, 16032, 2295, 934, 13, 3166, 2295, 1053, 334, 13, 3166, 10191, 16363, 1053, 334, 13, 3166, 6856, 6678, 29879, 1053, 334, 13, 13, 13, 29937, 448, 1378, 13, 29937, 10886, 3748, 13, 13, 11802, 353, 5519, 29900, 363, 921, 297, 3464, 29898, 29940, 29918, 15032, 29127, 4638, 363, 921, 297, 3464, 29898, 29940, 29918, 18521, 4638, 13, 13, 13, 29937, 17732, 8638, 322, 1596, 1480, 13, 359, 29889, 5205, 877, 8551, 1495, 13, 1188, 16190, 29898, 23252, 1001, 29892, 376, 13519, 29946, 613, 376, 23456, 3081, 29946, 9225, 2023, 29905, 29876, 1159, 13, 13, 13, 13, 29937, 448, 9072, 489, 13, 29937, 13189, 304, 23394, 13, 5150, 353, 7780, 1022, 29891, 29889, 29949, 6444, 4598, 29898, 13696, 4680, 29918, 2558, 29892, 2138, 4680, 29918, 28459, 29897, 13, 5150, 29889, 842, 29918, 5943, 29918, 6979, 29898, 6638, 29918, 2558, 29892, 11028, 29918, 28459, 29897, 13, 13, 2202, 29901, 13, 1678, 6684, 29918, 2271, 353, 4817, 29889, 657, 29918, 8921, 2133, 29918, 2271, 580, 13, 1678, 1480, 16190, 29898, 14605, 26925, 29892, 376, 27418, 5171, 613, 376, 14191, 3730, 13817, 297, 20147, 23157, 13, 19499, 7780, 1022, 29891, 29889, 29911, 705, 1022, 2392, 29901, 13, 1678, 1480, 16190, 29898, 4519, 6227, 29892, 376, 27418, 5171, 613, 376, 2392, 29991, 399, 29373, 18897, 29889, 5399, 596, 2295, 29889, 2272, 313, 272, 2295, 8132, 3580, 1307, 29889, 2272, 565, 451, 2198, 467, 1159, 13, 1678, 10876, 29889, 13322, 580, 13, 13, 2754, 353, 7780, 1022, 29891, 29889, 8787, 29898, 5150, 29897, 13, 13, 4914, 353, 29871, 29906, 13, 1220, 353, 788, 29925, 347, 346, 29898, 11802, 29892, 349, 18799, 1001, 29918, 29896, 29892, 1897, 29897, 13, 361, 1196, 1275, 448, 29896, 29901, 13, 1678, 1596, 376, 2704, 29908, 13, 2870, 29901, 13, 1678, 1596, 376, 29925, 347, 346, 2715, 297, 584, 6796, 29974, 851, 29898, 1220, 29897, 718, 376, 29962, 3366, 29974, 710, 29898, 4914, 7240, 3108, 29908, 13, 1678, 1596, 14199, 29898, 11802, 29897, 13, 13, 13, 13, 1188, 16190, 29898, 29956, 25614, 29892, 376, 13519, 29946, 613, 376, 5044, 310, 3081, 29946, 29889, 2272, 29892, 439, 5367, 23157, 13, 29937, 2754, 29889, 5504, 29918, 4882, 877, 29979, 29872, 801, 29892, 393, 23150, 29991, 1495, 13, 2 ]
gpu_speed_test.py	baumgach/gpu_speed_test	1	189566	<filename>gpu_speed_test.py # Calculate the computation times for several matrix sizes on GPU # Author: <NAME> (<EMAIL>) from __future__ import print_function import os os.environ["CUDA_VISIBLE_DEVICES"] = os.environ['SGE_GPU'] import numpy as np import tensorflow as tf import time import socket def get_times(matrix_sizes): elapsed_times = [] for size in matrix_sizes: #print("####### Calculating size %d" % size) shape = (size,size) data_type = tf.float32 with tf.device('/gpu:0'): r1 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type) r2 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type) dot_operation = tf.matmul(r2, r1) with tf.Session() as session: #config=tf.ConfigProto(log_device_placement=True) start_time = time.time() result = session.run(dot_operation) elapsed_time = time.time() - start_time elapsed_times.append(elapsed_time) return elapsed_times if __name__ == "__main__": matrix_sizes = range(500,10000,50) times = get_times(matrix_sizes) print ('---------- Versions: -------------') print('Using GPU%s' % os.environ['SGE_GPU']) print('Tensorflow version:') print(tf.__version__) hostname = socket.gethostname() print('Hostname: %s' % hostname ) code_path = os.path.dirname(os.path.realpath(__file__)) print('Code path: %s' % code_path) print('----------- Summary: -------------') for ii, size in enumerate(matrix_sizes): print("Size: %dx%d, Time: %f secs" % (size,size,times[ii])) print('----------------------------------') print("Average time: %f" % np.mean(times)) print('----------------------------------') np.savez('%s/%s.npz' % (code_path, hostname), matrix_sizes, times)	[ 1, 529, 9507, 29958, 29887, 3746, 29918, 19322, 29918, 1688, 29889, 2272, 13, 29937, 20535, 403, 278, 16287, 3064, 363, 3196, 4636, 15786, 373, 22796, 13, 29937, 13361, 29901, 529, 5813, 29958, 313, 29966, 26862, 6227, 12948, 13, 13, 3166, 4770, 29888, 9130, 1649, 1053, 1596, 29918, 2220, 13, 5215, 2897, 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setup.py	Goggin/djeasyroute	0	152426	<filename>setup.py #!/usr/bin/env python try: from setuptools.core import setup except ImportError: from distutils.core import setup setup(name='djeasyroute', version='0.0.3', description='A simple class based route system for django similar to flask', author='<NAME>', author_email='<EMAIL>', url='https://github.com/Goggin/djeasyroute', download_url='', classifiers=[ "Development Status :: 3 - Alpha", "Framework :: Django", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Intended Audience :: Developers", "Topic :: Software Development", ], install_requires=[ 'django', ], packages=[ 'djeasyroute', ], )	[ 1, 529, 9507, 29958, 14669, 29889, 2272, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 13, 2202, 29901, 13, 1678, 515, 731, 21245, 8789, 29889, 3221, 1053, 6230, 13, 19499, 16032, 2392, 29901, 13, 1678, 515, 1320, 13239, 29889, 3221, 1053, 6230, 13, 13, 14669, 29898, 978, 2433, 29881, 1324, 294, 4316, 2663, 742, 13, 418, 1873, 2433, 29900, 29889, 29900, 29889, 29941, 742, 13, 418, 6139, 2433, 29909, 2560, 770, 2729, 5782, 1788, 363, 9557, 2788, 304, 29784, 742, 13, 418, 4148, 2433, 29966, 5813, 29958, 742, 13, 418, 4148, 29918, 5269, 2433, 29966, 26862, 6227, 29958, 742, 13, 418, 3142, 2433, 991, 597, 3292, 29889, 510, 29914, 29954, 468, 5359, 29914, 29881, 1324, 294, 4316, 2663, 742, 13, 418, 5142, 29918, 2271, 2433, 742, 13, 418, 770, 14903, 11759, 13, 9651, 376, 21956, 358, 16034, 4761, 29871, 29941, 448, 838, 2026, 613, 13, 9651, 376, 16660, 4761, 15337, 613, 13, 9651, 376, 29931, 293, 1947, 4761, 438, 5425, 28268, 1490, 4761, 341, 1806, 19245, 613, 13, 9651, 376, 7094, 1218, 2184, 4761, 6570, 25266, 613, 13, 9651, 376, 2928, 2760, 319, 4749, 663, 4761, 10682, 414, 613, 13, 9651, 376, 7031, 293, 4761, 18540, 14650, 613, 13, 418, 21251, 13, 418, 2601, 29918, 276, 339, 2658, 11759, 13, 9651, 525, 14095, 742, 13, 418, 21251, 13, 418, 9741, 11759, 13, 9651, 525, 29881, 1324, 294, 4316, 2663, 742, 13, 418, 21251, 13, 29897, 13, 2 ]
lib/python2.7/site-packages/appionlib/apTaskLog.py	leschzinerlab/myami-3.2-freeHand	0	138351	import sys import time import subprocess import math import os from appionlib import basicScript from appionlib import apParam from appionlib import apDisplay class TaskLog(basicScript.BasicScript): ''' TaskLog is used by TaskStatusLogger.py on remote cluster host to parse the logfile or result of a task for useful messages and added to the logfile of the job so that appion can monitor it from the local webserver ''' def __init__(self,optlist=[]): super(TaskLog,self).__init__(optlist,True) self.setAttributes() self.__checkTaskLogExistance() #===================== def setupParserOptions(self): # Agent class uses this to choose the RefineJob subclass self.parser.add_option("--jobtype", dest="jobtype", help="Job Type of processing run, e.g., emanrecon", metavar="X") self.parser.add_option("--tasktype", dest="tasktype", help="Type of task the logfile come from specific to the jobtype, e.g., 'refine' for emanrecon", metavar="X") self.parser.add_option("--iter", dest="iter", type="int", default=1, help="current iteration if applicable", metavar="INT") self.parser.add_option("--tasklogfile", dest="tasklogfile", help="Path for the task logfile. if relative path is given, current directory is assumed e.g. --tasklogfile=/home/you/sessionname/recon/runname/recon/refine1.log", metavar="PATH") #===================== def checkConflicts(self): if self.params['jobtype'] is None: apDisplay.printError("enter the refine jobtype, e.g. --jobtype=emanrecon") def setAttributes(self): self.jobtype = self.params['jobtype'] self.tasktype = self.params['tasktype'] self.tasklogfile = os.path.abspath(self.params['tasklogfile']) self.iter = self.params['iter'] self.failed = False def __checkTaskLogExistance(self): tasktype_display = self.tasktype.upper() tasklog_basename = os.path.basename(self.tasklogfile) if not os.path.isfile(self.tasklogfile): self.failed = True apDisplay.printError('task %s 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commands/slotsjackpot.py	Dabomstew/goldenrod	2	94878	import config import random import datetime, time import math def execute(parser, bot, user, args): slotsPool = bot.execQuerySelectOne("SELECT * FROM slotspool") bot.addressUser(user, "The current slots jackpot is %d %s." % (slotsPool["slotspool"], config.currencyPlural)) def requiredPerm(): return "anyone" def canUseByWhisper(): return True	[ 1, 1053, 2295, 30004, 13, 5215, 4036, 30004, 13, 5215, 12865, 29892, 931, 30004, 13, 5215, 5844, 30004, 13, 30004, 13, 1753, 6222, 29898, 16680, 29892, 9225, 29892, 1404, 29892, 6389, 1125, 30004, 13, 1678, 2243, 1862, 11426, 353, 9225, 29889, 4258, 3010, 3549, 6716, 703, 6404, 334, 3895, 21497, 1028, 1507, 1159, 30004, 13, 1678, 9225, 29889, 7328, 2659, 29898, 1792, 29892, 376, 1576, 1857, 2243, 1862, 28015, 17765, 338, 1273, 29881, 1273, 29879, 1213, 1273, 313, 2536, 1862, 11426, 3366, 2536, 327, 1028, 1507, 12436, 2295, 29889, 26095, 3247, 3631, 876, 30004, 13, 1678, 6756, 13, 1753, 3734, 15737, 7295, 30004, 13, 1678, 736, 376, 1384, 650, 19451, 13, 1678, 6756, 13, 1753, 508, 11403, 2059, 8809, 275, 546, 7295, 30004, 13, 1678, 736, 5852, 30004, 13, 30004, 13, 2 ]
epde/Tokens.py	vnleonenko/EPDE	15	162611	<reponame>vnleonenko/EPDE """ Contains baseline prototypes of 'Token' instance as a gen in Individual chromosome. Classes ---------- Token TerminalToken ComplexToken """ import random import numpy as np from copy import deepcopy, copy from functools import reduce from abc import ABC, abstractmethod, abstractproperty class Token(ABC): """ A token is an entity that has some meaning in the context of a given task, and encapsulates information that is sufficient to work with it. """ @abstractmethod def value(self, grid): """ Return value of the token in the context of the task. Parameters ---------- grid: The grid on which the value is calculated. """ pass def name(self, with_params=False): try: return str(self.params[0]) + self.name_ except: try: if with_params: return type(self).__name__ + '(params=' + str(list(self.params)) + ')' return type(self).__name__ except: return type(self).__name__ def copy(self): return deepcopy(self) class TerminalToken(Token): """ TerminalToken is the token that returns a value as a vector whose evaluating requaires only numeric parameters. """ def __init__(self, number_params: int = 0, params_description: dict = None, params: np.ndarray = None, cache_val: bool = True, fix_val: bool = False, fix: bool = False, val: np.ndarray = None, type_: str = 'TerminalToken', optimizer: str = None, name_: str = None, mandatory: float = 0, optimize_id: int = None): """ Parameters ---------- number_params: int Number of numeric parameters describing the behavior of the token. params_description: dict The dictionary of dictionaries for describing numeric parameters of the token. Must have the form like: { parameter_index: dict(name='name', bounds=(min_value, max_value)[, ...]), ... } params: numpy.ndarray Numeric parameters of the token for calculating its value. cache_val: bool If true, token value will be calculated only when its params are changed. Calculated value is written to the token property 'self.val'. fix_val: bool Defined by parameter 'cache_val'. If true, token value returns 'self.val'. fix: bool If true, numeric parameters will not be changed by optimization procedures. val: np.ndarray Value of the token. type_: str Type of the token. optimizer: str Optimizer name_: str The name of the token that will be used for visualisation results and some comparison operations. mandatory: float Unique id for the token. If not zero, the token must be present in the result construct. optimize_id: int Used for identifications by optimizers which token to optimize. """ self._number_params = number_params if params_description is None: params_description = {} self.params_description = params_description self.check_params_description() if params is None: self.params = np.zeros(self._number_params) else: self.params = np.array(params, dtype=float) self.check_params() self.val = val self.fix = fix self.cache_val = cache_val self._fix_val = fix_val self.type = type_ self.optimizer = optimizer self.name_ = name_ self.mandatory = mandatory self.optimize_id = optimize_id def copy(self): new_copy = copy(self) new_copy.params = deepcopy(new_copy.params) return new_copy # Methods for work with params and its descriptions @property def params_description(self): return self._params_description @params_description.setter def params_description(self, params_description: dict): """ Params_description is dictionary of dictionaries for describing numeric parameters of the token. Must have the form like: { parameter_index=0: dict(name='name', bounds=(min_value, max_value)[, ...]), ... } Params_description must contain all fields for work in current tokens that will be checked by method 'self.check_params_description()'. Parameters ---------- params_description: dict Dictionary with description for each parameter """ assert type(params_description) == dict self._params_description = params_description def check_params_description(self): """ Check params_description for requirements for current token. """ recomendations = "\nUse methods 'params_description.setter' or 'set_descriptor' to change params_descriptions" assert type( self._params_description) == dict, "Invalid params_description structure," \ " must be a dictionary of dictionaries" + recomendations assert len(self._params_description) == self._number_params, "The number of parameters does not" \ " match the number of descriptors" + recomendations for key, value in self._params_description.items(): assert type(value) == dict, "Invalid params_description structure, must be a dictionary of dictionaries" assert 'name' in value.keys(), "Key 'name' must be in the nested" \ " dictionary for each parameter" + recomendations assert 'bounds' in value.keys(), "Key 'bounds' must be in the nested " \ "dictionary for each parameter" + recomendations assert key < self._number_params, "The parameter index must not exceed" \ " the number of parameters" + recomendations assert (len(value['bounds']) == 2 and value['bounds'][0] <= value['bounds'][1]), "Bounds of each parameter must have" \ " length = 2 and contain value" \ " boundaries MIN <= MAX." + recomendations def set_descriptor(self, key: int, descriptor_name: str, descriptor_value): try: self._params_description[key][descriptor_name] = descriptor_value except KeyError: print('There is no parameter with such index/descriptor') def get_key_use_params_description(self, descriptor_name: str, descriptor_value): for key, value in self._params_description.items(): if value[descriptor_name] == descriptor_value: return key raise KeyError() def get_descriptor_foreach_param(self, descriptor_name: str) -> list: ret = [None for _ in range(self._number_params)] for key, value in self._params_description.items(): ret[key] = value[descriptor_name] return ret @property def params(self): return self._params @params.setter def params(self, params): assert len(params) == self._number_params, "Input array has incorrect size" self._params = np.array(params, dtype=float) self._fix_val = False def check_params(self): recomendations = "\nUse methods 'params.setter' or 'set_param' to change params" assert len( self._params) == self._number_params, "The number of parameters does not match the length of params array" + recomendations for key, value in self._params_description.items(): if self._params[key] > value['bounds'][1]: self._params[key] = value['bounds'][1] if self._params[key] < value['bounds'][0]: self._params[key] = value['bounds'][0] def param(self, name=None, idx=None): try: idx = idx if name == None else self.get_key_use_params_description('name', name) except KeyError: print('There is no parameter with this name') try: return self._params[idx] except IndexError: print('There is no parameter with this index') def set_param(self, param, name=None, idx=None): try: idx = idx if name is None else self.get_key_use_params_description('name', name) except KeyError: raise KeyError('"{}" have no parameter with name "{}"'.format(self, name)) try: self._params[idx] = param self._fix_val = False except IndexError: raise IndexError('"{}" have no parameter with index "{}"'.format(self, idx)) def init_params(self): try: for key, value in self._params_description.items(): self.set_param(np.random.uniform(value['bounds'][0], value['bounds'][1]), idx=key) except OverflowError: # tb = sys.exc_info()[2] raise OverflowError('Bounds have incorrect/infinite values') # .with_traceback(tb) def set_val(self, val): self.val = val def value(self, grid): """ Returns value of the token on the grid. Returns either cache result in self.val or calculated value in self.val by method self.evaluate(). Parameters ---------- grid: np.ndarray Grid for evaluation. Returns ------- Value of the token. """ if not self._fix_val or self.val is None: # self.check_params() self._fix_val = self.cache_val self.val = self.evaluate(self.params, grid) # centralization # self.val -= np.mean(self.val) assert self.val.shape == grid.shape, "Value must be the same shape as grid" return self.val @staticmethod def evaluate(params, grid): """ Calculating token value on the grid depending on parameters. Must be override/implement in each TerminalToken. May be not staticmethod if it is necessary. Parameters ---------- params: numpy.ndarray Numeric token parameters. grid: numpy.ndarray Grid for evaluation. Returns ------- numpy.ndarray """ return np.zeros(grid.shape) class ComplexToken(TerminalToken): """ ComplexToken is the Token which consists other tokens (as subtokens in property self.subtokens) in addition to the numeric parameters. Example: Product of TerminalTokens. """ def __init__(self, number_params: int = 0, params_description: dict = None, params: np.ndarray = None, cache_val: bool = True, fix_val: bool = False, fix: bool = False, val: np.ndarray = None, type_: str = 'TerminalToken', optimizer: str = None, name_: str = None, mandatory: float = 0, optimize_id: int = None, subtokens: list = None): """ Parameters ---------- See documentation TerminalToken.__init__.__doc__ subtokens: list List of other tokens which current token uses for calculating its value. """ super().__init__(number_params=number_params, params_description=params_description, params=params, cache_val=cache_val, fix_val=fix_val, fix=fix, val=val, type_=type_, optimizer=optimizer, name_=name_, mandatory=mandatory) if subtokens is None: subtokens = [] self.subtokens = subtokens self._check_mandatory() @property def subtokens(self): return self._subtokens @subtokens.setter def subtokens(self, subtokens: list): for token in subtokens: token.set_param(1, name='Amplitude') self._fix_val = False self._subtokens = subtokens self._check_mandatory() def add_subtoken(self, token): token.set_param(1, name='Amplitude') self._fix_val = False self.subtokens.append(token) self._check_mandatory() def set_subtoken(self, token, idx): token.set_param(1, name='Amplitude') self._fix_val = False self.subtokens[idx] = token self._check_mandatory() def del_subtoken(self, token): self.subtokens.remove(token) def _check_mandatory(self): """ If some subtoken in ComplexToken is mandatory then ComplexToken is mandatory too. 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spacy/lang/pt/lex_attrs.py	keshan/spaCy	1	14125	<filename>spacy/lang/pt/lex_attrs.py # coding: utf8 from __future__ import unicode_literals from ...attrs import LIKE_NUM _num_words = ['zero', 'um', 'dois', 'três', 'tres', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'dúzia', 'dúzias', 'duzia', 'duzias', 'treze', 'catorze', 'quinze', 'dezasseis', 'dezassete', 'dezoito', 'dezanove', 'vinte', 'trinta', 'quarenta', 'cinquenta', 'sessenta', 'setenta', 'oitenta', 'noventa', 'cem', 'cento', 'duzentos', 'trezentos', 'quatrocentos', 'quinhentos', 'seicentos', 'setecentos', 'oitocentos', 'novecentos', 'mil', 'milhão', 'milhao', 'milhões', 'milhoes', 'bilhão', 'bilhao', 'bilhões', 'bilhoes', 'trilhão', 'trilhao', 'trilhões', 'trilhoes', 'quadrilhão', 'quadrilhao', 'quadrilhões', 'quadrilhoes'] _ordinal_words = ['primeiro', 'segundo', 'terceiro', 'quarto', 'quinto', 'sexto', 'sétimo', 'oitavo', 'nono', 'décimo', 'vigésimo', 'trigésimo', 'quadragésimo', 'quinquagésimo', 'sexagésimo', 'septuagésimo', 'octogésimo', 'nonagésimo', 'centésimo', 'ducentésimo', 'trecentésimo', 'quadringentésimo', 'quingentésimo', 'sexcentésimo', 'septingentésimo', 'octingentésimo', 'nongentésimo', 'milésimo', 'milionésimo', 'bilionésimo'] def like_num(text): text = text.replace(',', '').replace('.', '') if text.isdigit(): return True if text.count('/') == 1: num, denom = text.split('/') if num.isdigit() and denom.isdigit(): return True if text.lower() in _num_words: return True if text.lower() in _ordinal_words: return True return False LEX_ATTRS = { LIKE_NUM: like_num }	[ 1, 529, 9507, 29958, 1028, 4135, 29914, 3893, 29914, 415, 29914, 2506, 29918, 5552, 29879, 29889, 2272, 13, 29937, 14137, 29901, 23616, 29947, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 3166, 2023, 5552, 29879, 1053, 22962, 29918, 13967, 13, 13, 13, 29918, 1949, 29918, 9303, 353, 6024, 9171, 742, 525, 398, 742, 525, 1867, 275, 742, 525, 509, 8769, 742, 525, 5888, 742, 525, 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spider_service/app/spider/selenium/webdriver.py	seniortesting/python-spider	0	20166	# -- coding:utf-8 -- import random import time from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.common.keys import Keys from app.api.util.web_request import WebRequest, USER_AGENT_PC, USER_AGENT_MOBILE class SpiderWebDriver(object): def __init__(self, url: str, userAgent: str = None,referer: str=None, proxy: str = None): # 进入浏览器设置 chrome_options = Options() # 配置参数: http://chromedriver.chromium.org/capabilities # 详细参数： https://peter.sh/experiments/chromium-command-line-switches/ chrome_options.add_argument('lang=zh_CN.UTF-8') # chrome_options.add_argument('headless') # chrome_options.add_argument('window-size=1024,768') chrome_options.add_argument('no-sandbox') chrome_options.add_argument("disable-gpu") chrome_options.add_argument("ignore-certificate-errors"); chrome_options.add_argument("disable-popup-blocking"); chrome_options.add_argument("disable-default-apps"); # Chrome is being controlled by automated test software if userAgent is None: # 默认safari pc端浏览器 userAgent = 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2' chrome_options.add_argument('user-agent="' + userAgent + '"') chrome_options.add_argument('referer="https://www.google.com/"') if proxy is not None: proxy_str = "http://{proxy}".format(proxy=proxy) chrome_options.add_argument('proxy-server=' + proxy_str) # http://chromedriver.storage.googleapis.com/index.html self.driver = webdriver.Chrome(options=chrome_options) self.driver.maximize_window() if url: self.driver.get(url=url) def close(self): driver = self.driver if driver is None: return try: driver.close() driver.quit() finally: self.driver = None def __enter__(self): return self def __exit__(self, exc_info): del exc_info self.close() def open(self, url): self.driver.get(url) def get_cookies(self): cookies_dict = {} cookies = self.driver.get_cookies() for cookie in cookies: cookies_dict[cookie['name']] = cookie['value'] return cookies_dict def execute_js(self, js, args): return self.driver.execute_script(js, args) def adsenseClick(): # 获取wordpress的随机文章 url = 'https://pingbook.top/wp-json/wp/v2/posts' r=WebRequest() post_list=r.pc().get(url=url).json() # links=[ item.get('link') for item in post_list] # print(links) # post_list =[{'link': 'https://pingbook.top/vue-videojs-m3u8-player-a-html5-video-player/'}] # 模拟操作打开文章 proxyset = set() for num in range(10000): post=random.choice(post_list) post_url=post.get('link') print('发送请求的文章地址是: {}'.format(post_url)) agents = USER_AGENT_PC + USER_AGENT_MOBILE time_count = num + 1 driver = None try: content = r.pc().get('https://open.pingbook.top/proxy/get?type=valid').json() proxy = content.get('data').get('proxy') print('发送请求的代理是: {}'.format(proxy)) if proxy not in proxyset: # 时候重复的使用了相同的ip地址 proxyset.add(proxy) agent = random.choice(agents) driver = SpiderWebDriver(post_url, agent, proxy) driver.open(post_url) print('已经打开博客地址: {}'.format(post_url)) driver.driver.refresh() submitBtn =driver.driver.find_element_by_id('submit') if submitBtn: # 滚动到对应的广告部分 driver.driver.execute_script('arguments[0].scrollIntoView(true);',submitBtn) submitBtn.click() time.sleep(3) # driver.driver.refresh() # wait = WebDriverWait(driver.driver, 6) # element = wait.until(expected_conditions.element_to_be_clickable((By.ID, 'ads'))) # driver.close() print('第{}次轮训成功,代理: {}。。。。'.format(time_count, proxy)) # actionBtn = driver.driver.find_element_by_class_name('copy-btn') # if actionBtn: # driver.driver.refresh() # wait = WebDriverWait(driver.driver, 6) # element = wait.until(expected_conditions.element_to_be_clickable((By.ID, 'ads'))) # actionBtn.click() # driver.close() # print('第{}次轮训成功,代理: {}。。。。'.format(time, proxy)) else: print('当前代理地址: {}已经存在,不再使用该地址进行测试,代理池大小: {}!'.format(proxy,len(proxyset))) except Exception as e: print('第{}次轮训失败,失败信息: {}。。。。'.format(time_count, e)) # raise finally: if driver is not None: driver.close() def searchGoogle(): keyword= 'nuxt create nuxt app error :pingbook.top' # 模拟操作打开文章 proxyset = set() r=WebRequest() agents=USER_AGENT_PC for num in range(10000): driver = None try: content = r.pc().get('https://open.pingbook.top/proxy/get?type=valid').json() proxy = content.get('data').get('proxy') print('发送请求的代理是: {}'.format(proxy)) if proxy not in proxyset: # 时候重复的使用了相同的ip地址 proxyset.add(proxy) agent = random.choice(agents) spider = SpiderWebDriver(None, agent, proxy) spider.open('https://google.com') driver =spider.driver # 输入关键字 inputbox=driver.find_element_by_name('q') if inputbox: inputbox.send_keys(keyword) inputbox.send_keys(Keys.ENTER) time.sleep(3) # 点击第一条记录 first_record=driver.find_element_by_css_selector('#rso > div:nth-child(1) > div > div:nth-child(1) > div > div > div.r > a') first_record.click() time.sleep(5) driver.refresh() time.sleep(6) except Exception as e: print('第{}次轮训失败,失败信息: 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conanfile.py	torshind/conan-pcg-cpp	0	125483	from conans import ConanFile, CMake class PcgCppConan(ConanFile): name = "pcg-cpp" version = "latest" license = "MIT" homepage = "http://www.pcg-random.org/" url = "https://github.com/torshind/conan-pcg-cpp/" description = "PCG — C++ Implementation" settings = "os", "compiler", "build_type", "arch" options = {"shared": [True, False]} default_options = {"shared": False} exports_sources = "" def source(self): self.run("git clone https://github.com/imneme/pcg-cpp.git") def build(self): self.run("cd pcg-cpp && make test") def package(self): self.copy(".hpp", dst="include", src="pcg-cpp/include") def package_info(self): self.info.header_only()	[ 1, 515, 378, 550, 1053, 1281, 273, 2283, 29892, 315, 9984, 13, 13, 13, 1990, 349, 29883, 29887, 29907, 407, 1168, 273, 29898, 1168, 273, 2283, 1125, 13, 1678, 1024, 353, 376, 6739, 29887, 29899, 8223, 29908, 13, 1678, 1873, 353, 376, 12333, 29908, 13, 1678, 19405, 353, 376, 26349, 29908, 13, 1678, 3271, 3488, 353, 376, 1124, 597, 1636, 29889, 6739, 29887, 29899, 8172, 29889, 990, 12975, 13, 1678, 3142, 353, 376, 991, 597, 3292, 29889, 510, 29914, 7345, 845, 513, 29914, 535, 273, 29899, 6739, 29887, 29899, 8223, 12975, 13, 1678, 6139, 353, 376, 9026, 29954, 813, 315, 1817, 1954, 14607, 29908, 13, 1678, 6055, 353, 376, 359, 613, 376, 21789, 613, 376, 4282, 29918, 1853, 613, 376, 1279, 29908, 13, 1678, 3987, 353, 8853, 12366, 1115, 518, 5574, 29892, 7700, 12258, 13, 1678, 2322, 29918, 6768, 353, 8853, 12366, 1115, 7700, 29913, 13, 1678, 29586, 29918, 29879, 2863, 353, 376, 20605, 13, 13, 1678, 822, 2752, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3389, 703, 5559, 17432, 2045, 597, 3292, 29889, 510, 29914, 326, 29876, 2004, 29914, 6739, 29887, 29899, 8223, 29889, 5559, 1159, 13, 13, 1678, 822, 2048, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3389, 703, 2252, 22844, 29887, 29899, 8223, 2607, 1207, 1243, 1159, 13, 13, 1678, 822, 3577, 29898, 1311, 1125, 13, 4706, 1583, 29889, 8552, 703, 10521, 29623, 613, 29743, 543, 2856, 613, 4765, 543, 6739, 29887, 29899, 8223, 29914, 2856, 1159, 13, 13, 1678, 822, 3577, 29918, 3888, 29898, 1311, 1125, 13, 4706, 1583, 29889, 3888, 29889, 6672, 29918, 6194, 580, 13, 2 ]
scripts/cosmoWindToNC.py	r-beer/RESKit	0	104035	<filename>scripts/cosmoWindToNC.py #### Setup command line arguments import argparse parser = argparse.ArgumentParser(description='Process single-timestep 3D wind grib files and construct an output NC file') parser.add_argument(dest="uFile", type=str, help='path to the file containing 3D U wind speeds') parser.add_argument(dest="vFile", type=str, help='path to the file containing 3D V wind speeds') parser.add_argument('-o', dest='oFile', type=str, default="CHANGEME", help='path to the desired output file') parser.add_argument(dest='cFile', type=str, help='path to the file containing domain constants') args = parser.parse_args() #### Imports import netCDF4 as nc import pygrib from collections import OrderedDict, defaultdict import pandas as pd from datetime import datetime as dt import numpy as np #### Arrange constants constDS = nc.Dataset(args.cFile) levels = constDS["level"][:] if levels[1] < levels[0]: raise RuntimeError("levels need to be in increasing order") midHeights = OrderedDict() for l,mh in zip(levels,constDS["cell_mean"][:]): midHeights[l] = mh ####### # find levels around desired heights heights = [10, 100, 140] heightLevels = [] levelsToSaveU = {} levelsToSaveV = {} for h in heights: for i,l in enumerate(levels): if midHeights[l] <= h: heightLevels.append((levels[i-1],levels[i])) # add levels to the search list levelsToSaveU[levels[i-1]] = False levelsToSaveU[levels[i]] = False levelsToSaveV[levels[i-1]] = False levelsToSaveV[levels[i]] = False break #### Read WS data grbs = pygrib.open(args.uFile) # find data for each height rawWSU = OrderedDict() timeVal = None grbs.seek(0) for grb in grbs: # Check if we have a wind speed if not grb.indicatorOfParameter == 33: continue gLvl = grb.bottomLevel # Check if we want this level if not gLvl in levelsToSaveU: continue # Make sure we have the right time tmp = dt(year=grb.year, month=grb.month, day=grb.day, hour=grb.hour, minute=grb.minute) timeValTmp = (tmp - dt(year=1900, month=1, day=1, hour=0, minute=0)).total_seconds()//60 if timeVal is None: timeVal = timeValTmp else: if timeVal != timeValTmp: raise RuntimeError("Time mismatch") # Store data rawWSU[gLvl] = grb.values Ny,Nx = rawWSU[gLvl].shape levelsToSaveU[gLvl]=True #### Read WS data grbs = pygrib.open(args.vFile) # find data for each height rawWSV = OrderedDict() grbs.seek(0) for grb in grbs: # Check if we have a wind speed if not grb.indicatorOfParameter == 34: continue gLvl = grb.bottomLevel # Check if we want this level if not gLvl in levelsToSaveV: continue # Make sure we have the right time tmp = dt(year=grb.year, month=grb.month, day=grb.day, hour=grb.hour, minute=grb.minute) timeValTmp = (tmp - dt(year=1900, month=1, day=1, hour=0, minute=0)).total_seconds()//60 if timeVal != timeValTmp: raise RuntimeError("Time mismatch") # Store data rawWSV[gLvl] = grb.values Ny,Nx = rawWSV[gLvl].shape levelsToSaveV[gLvl]=True # make sure we found all required levels for level,found in levelsToSaveU.items(): if not found: raise RuntimeError("level %d not found"%level) for level,found in levelsToSaveV.items(): if not found: raise RuntimeError("level %d not found"%level) # Do interpolations ws = np.zeros((1,len(heights), Ny, Nx) ) for i,h in enumerate(heights): lvl0 = heightLevels[i][0] lvl1 = heightLevels[i][1] ws0 = np.sqrt(rawWSU[lvl0]rawWSU[lvl0] + rawWSV[lvl0]rawWSV[lvl0]) ws1 = np.sqrt(rawWSU[lvl1]rawWSU[lvl1] + rawWSV[lvl1]rawWSV[lvl1]) a = np.log(ws0/ws1)/np.log(midHeights[lvl0]/midHeights[lvl1]) ws[0,i,:,:] = ws0 * np.power(h/midHeights[lvl0], a) #### Make output NC file if args.oFile == "CHANGEME": oFile = args.uFile.replace(".grb",".nc") else: oFile = args.oFile ods = nc.Dataset(oFile,"w") # set dimensions ods.createDimension("time", ws.shape[0] ) ods.createDimension("height", ws.shape[1] ) ods.createDimension("latI", ws.shape[2]) ods.createDimension("lonI", ws.shape[3]) # set time var = ods.createVariable("time", int, ("time", )) var.setncatts(dict( name="time", units="Minutes since 1900-01-01 00:00:00" )) var[:] = [ int(timeVal), ] # set heights var = ods.createVariable("height", int, ("height", )) var.setncatts(dict( name="Height above surface", units="m" )) var[:] = heights # set windspeed var = ods.createVariable("wspd", "f", ("time", "height", "latI", "lonI"), zlib=True) var.setncatts(dict( name="Wind speed", units="m/s", )) var[:] = ws # DONE! ods.close()	[ 1, 529, 9507, 29958, 16713, 29914, 3944, 4346, 29956, 513, 1762, 15868, 29889, 2272, 13, 4136, 3789, 786, 1899, 1196, 6273, 13, 5215, 1852, 5510, 13, 13, 16680, 353, 1852, 5510, 29889, 15730, 11726, 29898, 8216, 2433, 7032, 2323, 29899, 9346, 342, 1022, 29871, 29941, 29928, 8805, 330, 1091, 2066, 322, 3386, 385, 1962, 25166, 934, 1495, 13, 16680, 29889, 1202, 29918, 23516, 29898, 7854, 543, 29884, 2283, 613, 1134, 29922, 710, 29892, 1371, 2433, 2084, 304, 278, 934, 6943, 29871, 29941, 29928, 501, 8805, 961, 5779, 1495, 13, 16680, 29889, 1202, 29918, 23516, 29898, 7854, 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meeko/preparation.py	forlilab/Meeko	19	138852	#!/usr/bin/env python # -- coding: utf-8 -- # # Meeko preparation # import os import sys from collections import OrderedDict import warnings from rdkit import Chem from .molsetup import OBMoleculeSetup from .molsetup import RDKitMoleculeSetup from .atomtyper import AtomTyper from .bondtyper import BondTyperLegacy from .hydrate import HydrateMoleculeLegacy from .macrocycle import FlexMacrocycle from .flexibility import FlexibilityBuilder from .writer import PDBQTWriterLegacy try: from openbabel import openbabel as ob except ImportError: _has_openbabel = False else: _has_openbabel = True class MoleculePreparation: def __init__(self, keep_nonpolar_hydrogens=False, hydrate=False, flexible_amides=False, rigid_macrocycles=False, min_ring_size=7, max_ring_size=33, keep_chorded_rings=False, keep_equivalent_rings=False, rigidify_bonds_smarts=[], rigidify_bonds_indices=[], double_bond_penalty=50, atom_type_smarts={}, add_index_map=False, stop_at_defaults=False, remove_smiles=False): self.keep_nonpolar_hydrogens = keep_nonpolar_hydrogens self.hydrate = hydrate self.flexible_amides = flexible_amides self.rigid_macrocycles = rigid_macrocycles self.min_ring_size = min_ring_size self.max_ring_size = max_ring_size self.keep_chorded_rings = keep_chorded_rings self.keep_equivalent_rings = keep_equivalent_rings self.rigidify_bonds_smarts = rigidify_bonds_smarts self.rigidify_bonds_indices = rigidify_bonds_indices self.double_bond_penalty = double_bond_penalty self.atom_type_smarts = atom_type_smarts self.add_index_map = add_index_map self.remove_smiles = remove_smiles if stop_at_defaults: return # create an object to show just the defaults (e.g. to argparse) self.setup = None self._atom_typer = AtomTyper(self.atom_type_smarts) self._bond_typer = BondTyperLegacy() self._macrocycle_typer = FlexMacrocycle( self.min_ring_size, self.max_ring_size, self.double_bond_penalty) self._flex_builder = FlexibilityBuilder() self._water_builder = HydrateMoleculeLegacy() self._writer = PDBQTWriterLegacy() self.is_ok = None self.log = None self._classes_setup = {Chem.rdchem.Mol: RDKitMoleculeSetup} if _has_openbabel: self._classes_setup[ob.OBMol] = OBMoleculeSetup if keep_chorded_rings and keep_equivalent_rings==False: warnings.warn("keep_equivalent_rings=False ignored because keep_chorded_rings=True", RuntimeWarning) @classmethod def init_just_defaults(cls): return cls(stop_at_defaults=True) @ classmethod def from_config(cls, config): expected_keys = cls.init_just_defaults().__dict__.keys() bad_keys = [k for k in config if k not in expected_keys] for key in bad_keys: print("ERROR: unexpected key \"%s\" in MoleculePreparation.from_config()" % key, file=sys.stderr) if len(bad_keys) > 0: raise ValueError p = cls(**config) return p def prepare(self, mol, root_atom_index=None, not_terminal_atoms=[]): """ if protein_sidechain, C H N O will be removed, root will be CA, and BEGIN/END_RES will be added. """ mol_type = type(mol) if not mol_type in self._classes_setup: raise TypeError("Molecule is not an instance of supported types: %s" % type(mol)) setup_class = self._classes_setup[mol_type] setup = setup_class(mol, keep_chorded_rings=self.keep_chorded_rings, keep_equivalent_rings=self.keep_equivalent_rings) self.setup = setup # 1. assign atom types (including HB types, vectors and stuff) # DISABLED TODO self.atom_typer.set_parm(mol) self._atom_typer(setup) # 2a. add pi-model + merge_h_pi (THIS CHANGE SOME ATOM TYPES) # disabled # 2b. merge_h_classic if not self.keep_nonpolar_hydrogens: setup.merge_hydrogen() # 3. assign bond types by using SMARTS... # - bonds should be typed even in rings (but set as non-rotatable) # - if macrocycle is selected, they will be enabled (so they must be typed already!) self._bond_typer(setup, self.flexible_amides, self.rigidify_bonds_smarts, self.rigidify_bonds_indices, not_terminal_atoms) # 4 . hydrate molecule if self.hydrate: self._water_builder.hydrate(setup) # 5. break macrocycles into open/linear form if self.rigid_macrocycles: break_combo_data = None bonds_in_rigid_rings = None # not true, but this is only needed when breaking macrocycles else: break_combo_data, bonds_in_rigid_rings = self._macrocycle_typer.search_macrocycle(setup) # 6. build flexibility... # 6.1 if macrocycles typed: # - walk the setup graph by skipping proposed closures # and score resulting flex_trees basing on the lenght # of the branches generated # - actually break the best closure bond (THIS CHANGES SOME ATOM TYPES) # 6.2 - walk the graph and build the flextree # 7. but disable all bonds that are in rings and not # in flexible macrocycles # TODO restore legacy AD types for PDBQT #self._atom_typer.set_param_legacy(mol) new_setup = self._flex_builder(setup, root_atom_index=root_atom_index, break_combo_data=break_combo_data, bonds_in_rigid_rings=bonds_in_rigid_rings) self.setup = new_setup # TODO re-run typing after breaking bonds # self.bond_typer.set_types_legacy(mol, exclude=[macrocycle_bonds]) self.is_ok = self._check() def _check(self): # verify that all atoms have been typed is_ok = True msg = "" for idx in self.setup.atom_type: atom_type = self.setup.atom_type[idx] if atom_type is None: msg += 'atom number %d has None type, mol name: %s' % (idx, self.setup.get_mol_name()) is_ok = False self.log = msg return is_ok def show_setup(self): if self.setup is not None: tot_charge = 0 print("Molecule setup\n") print("==============[ ATOMS ]===================================================") print("idx \| coords \| charge \|ign\| atype \| connections") print("-----+----------------------------+--------+---+----------+--------------- . . . ") for k, v in list(self.setup.coord.items()): print("% 4d \| % 8.3f % 8.3f % 8.3f \| % 1.3f \| %d" % (k, v[0], v[1], v[2], self.setup.charge[k], self.setup.atom_ignore[k]), "\| % -8s \|" % self.setup.atom_type[k], self.setup.graph[k]) tot_charge += self.setup.charge[k] print("-----+----------------------------+--------+---+----------+--------------- . . . ") print(" TOT CHARGE: %3.3f" % tot_charge) print("\n======[ DIRECTIONAL VECTORS ]==========") for k, v in list(self.setup.coord.items()): if k in self.setup.interaction_vector: print("% 4d " % k, self.setup.atom_type[k], end=' ') print("\n==============[ BONDS ]================") # For sanity users, we won't show those keys for now keys_to_not_show = ['bond_order', 'type'] for k, v in list(self.setup.bond.items()): t = ', '.join('%s: %s' % (i, j) for i, j in v.items() if not i in keys_to_not_show) print("% 8s - " % str(k), t) self._macrocycle_typer.show_macrocycle_scores(self.setup) print('') def write_pdbqt_string(self, add_index_map=None, remove_smiles=None): if self.is_ok == False: raise RuntimeError("Molecule not OK, refusing to write PDBQT\n\nLOG:\n%s" % self.log) if add_index_map is None: add_index_map = self.add_index_map if remove_smiles is None: remove_smiles = self.remove_smiles if self.setup is not None: return self._writer.write_string(self.setup, add_index_map, remove_smiles) else: raise RuntimeError('Cannot generate PDBQT file, the molecule is not prepared.') def write_pdbqt_file(self, pdbqt_filename, add_index_map=None, remove_smiles=None): with open(pdbqt_filename,'w') as w: w.write(self.write_pdbqt_string(add_index_map, remove_smiles)) def adapt_pdbqt_for_autodock4_flexres(self, pdbqt_string, res, chain, num): """ adapt pdbqt_string to be compatible with AutoDock4 requirements: - first and second atoms named CA and CB - write BEGIN_RES / END_RES - remove TORSDOF this is for covalent docking (tethered) """ new_string = "BEGIN_RES %s %s %s\n" % (res, chain, num) atom_number = 0 for line in pdbqt_string.split("\n"): if line == "": continue if line.startswith("TORSDOF"): continue if line.startswith("ATOM"): atom_number+=1 if atom_number == 1: line = line[:13] + 'CA' + line[15:] elif atom_number == 2: line = line[:13] + 'CB' + line[15:] new_string += line + '\n' continue new_string += line + '\n' new_string += "END_RES %s %s %s\n" % (res, 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DL/live_camera_ocr/LC_layer.py	jay-z007/Deep-Learning	0	167181	<filename>DL/live_camera_ocr/LC_layer.py import numpy as np # data # weights # strides # padding(opt) # def get_patches(): # pass """ data : 3d [in_height 4, in_width 4, in_depth 64] //weights : 5d [in_height (4), in_width (4), in_depth (64), kernelkernel (3x3), depth (64)] weights : [kernel, kernel, in_depth, in_height-diff, in_width-diff, depth] biases : ? """ def LC_layer(data, weights, strides, kernel_size=3):#, padding="SAME"): shape = list(weights.shape) filters = shape[5] Y = shape[3] X = shape[4] #shape = list(data.shape) #print shape diff = kernel_size - 1 sumb = np.ndarray(shape=(Y, X, filters), dtype=np.float32) for d in range(filters): for h in range(Y, strides[1]): for w in range(X, strides[0]): sumb[h, w, d] = np.sum(data[h:h+kernel_size, w:w+kernel_size, :] weights[:, :, :, h:h+kernel_size, w:w+kernel_size, d]) print sumb.shape data = np.ndarray(shape=(4, 4, 64), dtype=np.float32) weights = np.ndarray(shape=(3, 3, 64, 2, 2, 5), dtype=np.float32) LC_layer(data, weights, [2,2])	[ 1, 529, 9507, 29958, 19558, 29914, 9258, 29918, 26065, 29918, 8415, 29914, 12182, 29918, 13148, 29889, 2272, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 848, 13, 29937, 18177, 13, 29937, 851, 2247, 13, 29937, 7164, 29898, 3670, 29897, 13, 13, 29937, 822, 679, 29918, 5041, 267, 7295, 13, 29937, 29871, 12, 3364, 13, 13, 15945, 29908, 13, 1272, 584, 29871, 29941, 29881, 518, 262, 29918, 3545, 29871, 29946, 29892, 297, 29918, 2103, 29871, 29946, 29892, 297, 29918, 19488, 29871, 29953, 29946, 29962, 13, 458, 705, 5861, 584, 29871, 29945, 29881, 518, 262, 29918, 3545, 313, 29946, 511, 297, 29918, 2103, 313, 29946, 511, 297, 29918, 19488, 313, 29953, 29946, 511, 8466, 29930, 17460, 313, 29941, 29916, 29941, 511, 10809, 313, 29953, 29946, 4638, 13, 705, 5861, 584, 518, 17460, 29892, 8466, 29892, 297, 29918, 19488, 29892, 297, 29918, 3545, 29899, 12765, 29892, 297, 29918, 2103, 29899, 12765, 29892, 10809, 29962, 13, 5365, 2129, 584, 1577, 13, 15945, 29908, 13, 1753, 365, 29907, 29918, 13148, 29898, 1272, 29892, 18177, 29892, 851, 2247, 29892, 8466, 29918, 2311, 29922, 29941, 1125, 6552, 7164, 543, 8132, 2303, 29908, 1125, 12, 12, 13, 12, 12181, 353, 1051, 29898, 705, 5861, 29889, 12181, 29897, 13, 12, 26705, 353, 8267, 29961, 29945, 29962, 13, 12, 29979, 353, 8267, 29961, 29941, 29962, 13, 12, 29990, 353, 8267, 29961, 29946, 29962, 13, 12, 29937, 12181, 353, 1051, 29898, 1272, 29889, 12181, 29897, 13, 12, 29937, 2158, 8267, 13, 12, 12765, 353, 8466, 29918, 2311, 448, 29871, 29896, 13, 12, 2083, 29890, 353, 7442, 29889, 299, 2378, 29898, 12181, 7607, 29979, 29892, 1060, 29892, 18094, 511, 26688, 29922, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12, 1454, 270, 297, 3464, 29898, 26705, 1125, 13, 12, 12, 1454, 298, 297, 3464, 29898, 29979, 29892, 851, 2247, 29961, 29896, 29962, 1125, 13, 12, 12, 12, 1454, 281, 297, 3464, 29898, 29990, 29892, 851, 2247, 29961, 29900, 29962, 1125, 13, 12, 12, 12, 12, 2083, 29890, 29961, 29882, 29892, 281, 29892, 270, 29962, 353, 7442, 29889, 2083, 29898, 1272, 29961, 29882, 29901, 29882, 29974, 17460, 29918, 2311, 29892, 281, 29901, 29893, 29974, 17460, 29918, 2311, 29892, 584, 29962, 334, 18177, 7503, 29892, 584, 29892, 584, 29892, 298, 29901, 29882, 29974, 17460, 29918, 2311, 29892, 281, 29901, 29893, 29974, 17460, 29918, 2311, 29892, 270, 2314, 13, 13, 12, 2158, 2533, 29890, 29889, 12181, 13, 13, 1272, 353, 7442, 29889, 299, 2378, 29898, 12181, 7607, 29946, 29892, 29871, 29946, 29892, 29871, 29953, 29946, 511, 26688, 29922, 9302, 29889, 7411, 29941, 29906, 29897, 13, 705, 5861, 353, 7442, 29889, 299, 2378, 29898, 12181, 7607, 29941, 29892, 29871, 29941, 29892, 29871, 29953, 29946, 29892, 29871, 29906, 29892, 29871, 29906, 29892, 29871, 29945, 511, 26688, 29922, 9302, 29889, 7411, 29941, 29906, 29897, 13, 12182, 29918, 13148, 29898, 1272, 29892, 18177, 29892, 518, 29906, 29892, 29906, 2314, 2 ]
pre_commit_hooks/loaderon_hooks/util/file_helpers.py	alvaroscelza/pre-commit-hooks	0	74856	<gh_stars>0 # -- coding: utf-8 -- import os import re def read_file(file_path, only_first_line=False): opened_file = open(file_path) if only_first_line: lines = opened_file.readline() else: lines = opened_file.readlines() opened_file.close() return lines def read_file_line(file_path): return read_file(file_path, True) def read_file_lines(file_path): return read_file(file_path) def find_file_starting_from_reference_file_directory(reference_file, file_to_find): """Attempts to find file_to_find by navigating through directories from reference_file's parent directory.""" file_path = os.path.realpath(reference_file) folder_path = os.path.dirname(file_path) for root, unused_dirs, files in os.walk(folder_path): if file_to_find in files: return os.path.join(root, file_to_find) return None def get_indexes_of_lines_per_regex(file_lines, regex): regex_pattern = re.compile(regex) indexes_of_lines_defining_regex = [] for index, line in enumerate(file_lines): if regex_pattern.match(line): indexes_of_lines_defining_regex.append(index) return indexes_of_lines_defining_regex def get_bunches_of_lines_dividing_by_regex(file_lines, regex): lines = [] indexes_of_lines_per_regex = get_indexes_of_lines_per_regex(file_lines, regex) for index, index_of_lines in enumerate(indexes_of_lines_per_regex): try: next_regex_index = indexes_of_lines_per_regex[index + 1] current_regex_lines = file_lines[index_of_lines:next_regex_index] except IndexError: current_regex_lines = file_lines[index_of_lines:] lines.append(current_regex_lines) return lines def split_by_regexp(filename, regex): file_lines = read_file_lines(filename) return get_bunches_of_lines_dividing_by_regex(file_lines, regex)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 5215, 2897, 13, 5215, 337, 13, 13, 13, 1753, 1303, 29918, 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agent/tests/test_input/test_1/test_kafka_http.py	anodot/daria	16	153927	<filename>agent/tests/test_input/test_1/test_kafka_http.py<gh_stars>10-100 import json import subprocess import traceback from agent import cli, source, pipeline from ..test_zpipeline_base import TestInputBase from ...conftest import get_input_file_path class TestKafka(TestInputBase): __test__ = True params = { 'test_source_create': [{'name': 'test_kfk'}, {'name': 'test_running_counters'}, {'name': 'test_json_arrays'}], 'test_create': [ { 'source_name': 'test_kfk', 'name': 'test_kfk_value_const', 'options': ['-a'], 'value': 'y\nclicks\ny\n\n \n ', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n\n\n\n' }, { 'source_name': 'test_kfk', 'name': 'test_kfk_timestamp_ms', 'options': [], 'value': 'n\nClicks:gauge\nClicks:clicks', 'timestamp': 'timestamp_unix_ms\nunix_ms', 'advanced_options': '' }, { 'source_name': 'test_kfk', 'name': 'test_kfk_timestamp_string', 'options': ['-a'], 'value': 'y\nclicks\ny\n\n \n ', 'timestamp': 'timestamp_string\nstring\nM/d/yyyy H:mm:ss\n', 'advanced_options': 'key1:val1\ntag1:tagval tag2:tagval\n"Country" == "USA"\n/home/kafka_transform.csv' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter', 'options': ['-a'], 'value': 'n\ny\n\nClicks:running_counter\nClicks:clicks', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \n\nn' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter_static_tt', 'options': ['-a'], 'value': 'n\nn\n \nClicks:running_counter\nClicks:metric', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \nn' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter_dynamic_what', 'options': ['-a'], 'value': 'n\nn\n\nClicks:agg_type\nClicks:metric', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \nn' }, { 'source_name': 'test_json_arrays', 'name': 'test_json_arrays', 'options': ['-a'], 'value': 'n\ny\nkpis\n\nClicks:gauge\nClicks:clicks', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': ' \n \n \n \n\nn' }, { 'source_name': 'test_kfk', 'name': 'test_kafka_timezone', 'options': ['-a'], 'value': 'n\ny\n \nClicks:gauge\n ', 'timestamp': 'timestamp_string\nstring\nM/d/yyyy H:mm:ss\nEurope/Berlin', 'advanced_options': '\n\n\n\n\nn' }, ], 'test_edit': [ {'options': ['test_kfk_value_const', '-a'], 'value': 'y\nclicks\n\n\n\n'}, {'options': ['test_kfk_timestamp_string', '-a'], 'value': 'n\nn\n\nClicks:agg_type\nClicks:metric'} ], 'test_create_transform_value': [ { 'pipeline_id': 'test_transform_value', 'transform_file': '/home/kafka_transform_value.csv' }, { 'pipeline_id': 'test_transform_value_2', 'transform_file': '/home/kafka_transform_value_2.csv' }, ], 'test_create_source_with_file': [{'file_name': 'kafka_sources'}], 'test_create_with_file': [{'file_name': 'kafka_pipelines'}], } def test_source_create(self, cli_runner, name): result = cli_runner.invoke(cli.source.create, catch_exceptions=False, input=f"kafka\n{name}\nkafka:29092\n{name}\n\n\n") assert result.exit_code == 0 assert source.repository.exists(name) def test_create(self, cli_runner, source_name, name, options, value, timestamp, advanced_options): result = cli_runner.invoke( cli.pipeline.create, options, catch_exceptions=False, input=f"{source_name}\n{name}\n\n{value}\n{timestamp}\nver Country\nExchange optional_dim ad_type ADTYPE GEN\n\n{advanced_options}\n" ) traceback.print_exception(result.exc_info) assert result.exit_code == 0 pipeline_ = pipeline.repository.get_by_id(name) assert bool(pipeline_.override_source) def test_edit(self, cli_runner, options, value): result = cli_runner.invoke(cli.pipeline.edit, options, catch_exceptions=False, input=f"\n{value}\n\n\n\n\n\n\n\n\n\n\n\n") assert result.exit_code == 0 def test_create_transform_value(self, cli_runner, pipeline_id: str, transform_file: dict): input_ = { 'source name': 'test_kfk', 'pipeline id': pipeline_id, 'preview': 'n', 'count': 'n', 'static': 'y', 'value array': ' ', 'value properties': 'Clicks:gauge', 'measurement names': 'Clicks:clicks', 'timestamp': 'timestamp_unix', 'timestamp type': 'unix', 'required dimensions': ' ', 'optional dimensions': 'title subtitle', 'consumer group': '', 'additional props': ' ', 'tags': ' ', 'filter condition': ' ', 'transformation file': transform_file, } result = cli_runner.invoke(cli.pipeline.create, ["-a"], catch_exceptions=False, input='\n'.join(input_.values())) traceback.print_exception(result.exc_info) assert result.exit_code == 0 # I guess it's testing di.init() for cli, cli_runner doesn't run click app, and subprocess runs it def test_create_subprocess(self): input_file_path = get_input_file_path('kafka_sources_2.json') try: subprocess.check_output(['agent', 'source', 'create', '-f', input_file_path], stderr=subprocess.STDOUT) except subprocess.CalledProcessError as exc: raise Exception(f'Status: FAIL\nexit code 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chap02/calc/calc_parser.py	lutzhamel/plipy-code	1	145195	<gh_stars>1-10 ''' Parser for our calc language explist : ({ NUM, PLUS, MINUS, LPAREN } exp)* exp : { NUM } NUM \| { PLUS, MINUS } op exp exp \| { LPAREN } LPAREN op exp exp ({ NUM, PLUS, MINUS, LPAREN } exp)* RPAREN op : { PLUS } PLUS \| { MINUS } MINUS ''' def explist(stream): while stream.pointer().type in ['NUM', 'PLUS', 'MINUS', 'LPAREN']: exp(stream) return def exp(stream): token = stream.pointer() if token.type in ['NUM']: stream.match('NUM') return elif token.type in ['PLUS','MINUS']: op(stream) exp(stream) exp(stream) return elif token.type in ['LPAREN']: stream.match('LPAREN') op(stream) exp(stream) exp(stream) while stream.pointer().type in ['NUM', 'PLUS', 'MINUS', 'LPAREN']: exp(stream) stream.match('RPAREN') else: raise SyntaxError("syntax error at {}".format(token.type)) def op(stream): token = stream.pointer() if token.type in ['PLUS']: stream.match('PLUS') return elif token.type in ['MINUS']: stream.match('MINUS') return else: raise SyntaxError("syntax error at {}".format(token.type)) def parse(): from calc_lexer import Lexer from sys import stdin try: char_stream = stdin.read() # read from stdin token_stream = Lexer(char_stream) explist(token_stream) # call the parser function for start symbol if token_stream.end_of_file(): print("parse successful") else: raise SyntaxError("bad syntax at {}" .format(token_stream.pointer())) except Exception as e: print("error: " + str(e)) if __name__ == "__main__": parse()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 12008, 13, 11726, 363, 1749, 22235, 4086, 13, 13, 24516, 391, 584, 21313, 28019, 29892, 16507, 3308, 29892, 341, 1177, 3308, 29892, 365, 16320, 1430, 500, 1518, 11877, 13, 13, 4548, 29871, 584, 426, 28019, 500, 28019, 13, 268, 891, 426, 16507, 3308, 29892, 341, 1177, 3308, 500, 1015, 1518, 1518, 13, 268, 891, 426, 365, 16320, 1430, 500, 365, 16320, 1430, 1015, 1518, 1518, 21313, 28019, 29892, 16507, 3308, 29892, 341, 1177, 3308, 29892, 365, 16320, 1430, 500, 1518, 11877, 390, 16320, 1430, 13, 13, 459, 584, 426, 16507, 3308, 500, 16507, 3308, 13, 259, 891, 426, 341, 1177, 3308, 500, 341, 1177, 3308, 13, 12008, 13, 13, 1753, 3902, 391, 29898, 5461, 1125, 13, 1678, 1550, 4840, 29889, 17226, 2141, 1853, 297, 6024, 13967, 742, 525, 7390, 3308, 742, 525, 16173, 3308, 742, 525, 13208, 1718, 1430, 2033, 29901, 13, 4706, 1518, 29898, 5461, 29897, 13, 1678, 736, 13, 13, 1753, 1518, 29898, 5461, 1125, 13, 1678, 5993, 353, 4840, 29889, 17226, 580, 13, 1678, 565, 5993, 29889, 1853, 297, 6024, 13967, 2033, 29901, 13, 4706, 4840, 29889, 4352, 877, 13967, 1495, 13, 4706, 736, 13, 1678, 25342, 5993, 29889, 1853, 297, 6024, 7390, 3308, 3788, 16173, 3308, 2033, 29901, 13, 4706, 1015, 29898, 5461, 29897, 13, 4706, 1518, 29898, 5461, 29897, 13, 4706, 1518, 29898, 5461, 29897, 13, 4706, 736, 13, 1678, 25342, 5993, 29889, 1853, 297, 6024, 13208, 1718, 1430, 2033, 29901, 13, 4706, 4840, 29889, 4352, 877, 13208, 1718, 1430, 1495, 13, 4706, 1015, 29898, 5461, 29897, 13, 4706, 1518, 29898, 5461, 29897, 13, 4706, 1518, 29898, 5461, 29897, 13, 4706, 1550, 4840, 29889, 17226, 2141, 1853, 297, 6024, 13967, 742, 525, 7390, 3308, 742, 525, 16173, 3308, 742, 525, 13208, 1718, 1430, 2033, 29901, 13, 9651, 1518, 29898, 5461, 29897, 13, 4706, 4840, 29889, 4352, 877, 29934, 16320, 1430, 1495, 13, 1678, 1683, 29901, 13, 4706, 12020, 21306, 2392, 703, 29562, 1059, 472, 6571, 1642, 4830, 29898, 6979, 29889, 1853, 876, 13, 13, 1753, 1015, 29898, 5461, 1125, 13, 1678, 5993, 353, 4840, 29889, 17226, 580, 13, 1678, 565, 5993, 29889, 1853, 297, 6024, 7390, 3308, 2033, 29901, 13, 4706, 4840, 29889, 4352, 877, 7390, 3308, 1495, 13, 4706, 736, 13, 1678, 25342, 5993, 29889, 1853, 297, 6024, 16173, 3308, 2033, 29901, 13, 4706, 4840, 29889, 4352, 877, 16173, 3308, 1495, 13, 4706, 736, 13, 1678, 1683, 29901, 13, 4706, 12020, 21306, 2392, 703, 29562, 1059, 472, 6571, 1642, 4830, 29898, 6979, 29889, 1853, 876, 13, 13, 1753, 6088, 7295, 13, 1678, 515, 22235, 29918, 2506, 261, 1053, 15045, 261, 13, 1678, 515, 10876, 1053, 3659, 262, 13, 1678, 1018, 29901, 13, 4706, 1373, 29918, 5461, 353, 3659, 262, 29889, 949, 580, 396, 1303, 515, 3659, 262, 13, 4706, 5993, 29918, 5461, 353, 15045, 261, 29898, 3090, 29918, 5461, 29897, 13, 4706, 3902, 391, 29898, 6979, 29918, 5461, 29897, 396, 1246, 278, 13812, 740, 363, 1369, 5829, 13, 4706, 565, 5993, 29918, 5461, 29889, 355, 29918, 974, 29918, 1445, 7295, 13, 9651, 1596, 703, 5510, 9150, 1159, 13, 4706, 1683, 29901, 13, 9651, 12020, 21306, 2392, 703, 12313, 5877, 472, 426, 5038, 13, 462, 795, 869, 4830, 29898, 6979, 29918, 5461, 29889, 17226, 22130, 13, 1678, 5174, 8960, 408, 321, 29901, 13, 4706, 1596, 703, 2704, 29901, 376, 718, 851, 29898, 29872, 876, 13, 13, 361, 4770, 978, 1649, 1275, 376, 1649, 3396, 1649, 1115, 13, 1678, 6088, 580, 13, 2 ]
accounts/admin.py	Muson117/SharedAccountLibrary	0	188642	<reponame>Muson117/SharedAccountLibrary ''' models registered to Django admin interface ''' from django.contrib import admin # Register your models here. from .models import Employee, Account #admin.site.register(Employee) #admin.site.register(Account) @admin.register(Employee) class EmployeeAdmin(admin.ModelAdmin): ''' what to display in admin ''' list_display = ('employee_FirstName', 'employee_LastName') @admin.register(Account) class AccountAdmin(admin.ModelAdmin): ''' what to display in admin ''' list_display = ('account_name', 'status', 'account_taken_by', 'account_taken_at') list_filter = ['status', 'account_taken_at'] exclude = ('account_pass') ''' fieldsets = ( (None, { 'fields': ('account_name','account_pass') }), ('Availability', { 'fields': ('status', 'id') }), ) '''	[ 1, 529, 276, 1112, 420, 29958, 14958, 265, 29896, 29896, 29955, 29914, 21741, 10601, 12284, 13, 12008, 4733, 15443, 304, 15337, 4113, 5067, 14550, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 13, 29937, 12577, 596, 4733, 1244, 29889, 13, 3166, 869, 9794, 1053, 24654, 29892, 16535, 13, 13, 29937, 6406, 29889, 2746, 29889, 9573, 29898, 19461, 29897, 13, 29937, 6406, 29889, 2746, 29889, 9573, 29898, 10601, 29897, 13, 13, 29992, 6406, 29889, 9573, 29898, 19461, 29897, 13, 1990, 24654, 12754, 29898, 6406, 29889, 3195, 12754, 1125, 13, 1678, 14550, 825, 304, 2479, 297, 4113, 14550, 13, 1678, 1051, 29918, 4990, 353, 6702, 26143, 29918, 29541, 742, 525, 26143, 29918, 8897, 1170, 1495, 13, 13, 29992, 6406, 29889, 9573, 29898, 10601, 29897, 13, 1990, 16535, 12754, 29898, 6406, 29889, 3195, 12754, 1125, 13, 1678, 14550, 825, 304, 2479, 297, 4113, 14550, 13, 1678, 1051, 29918, 4990, 353, 6702, 10149, 29918, 978, 742, 525, 4882, 742, 525, 10149, 29918, 29873, 9424, 29918, 1609, 742, 525, 10149, 29918, 29873, 9424, 29918, 271, 1495, 13, 1678, 1051, 29918, 4572, 353, 6024, 4882, 742, 525, 10149, 29918, 29873, 9424, 29918, 271, 2033, 13, 1678, 19060, 353, 6702, 10149, 29918, 3364, 1495, 13, 13, 1678, 14550, 13, 1678, 1746, 7224, 353, 313, 13, 4706, 313, 8516, 29892, 426, 13, 9651, 525, 9621, 2396, 6702, 10149, 29918, 978, 3788, 10149, 29918, 3364, 1495, 13, 4706, 500, 511, 13, 4706, 6702, 12810, 737, 3097, 742, 426, 13, 9651, 525, 9621, 2396, 6702, 4882, 742, 525, 333, 1495, 13, 4706, 500, 511, 13, 1678, 1723, 13, 1678, 14550, 13, 2 ]
src/encoded/audit/dataset.py	Lattice-Data/encoded	0	34565	from snovault import ( AuditFailure, audit_checker, ) from .formatter import ( audit_link, path_to_text, ) def audit_contributor_institute(value, system): if value['status'] in ['deleted']: return need_inst = [] if 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if not user.get('institute_name'): need_inst.append(user.get('uuid')) if need_inst: detail = ('Dataset {} contains corresponding_contributors {} that do not have an institute_name.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_inst) ) ) yield AuditFailure('no contributor institute', detail, level='ERROR') need_inst = [] if 'contributors' in value: for user in value['contributors']: if not user.get('institute_name'): need_inst.append(user.get('uuid')) if need_inst: detail = ('Dataset {} contains contributors {} that do not have an institute_name.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_inst) ) ) yield AuditFailure('no contributor institute', detail, level='ERROR') return def audit_contributor_email(value, system): if value['status'] in ['deleted']: return need_email = [] if 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if not user.get('email'): need_email.append(user.get('uuid')) if need_email: detail = ('Dataset {} contains corresponding_contributors {} that do not have an email.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_email) ) ) yield AuditFailure('no corresponding email', detail, level='ERROR') return def audit_contributor_lists(value, system): if value['status'] in ['deleted']: return duplicates = [] if 'contributors' in value and 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if user in value.get('contributors'): duplicates.append(user.get('uuid')) if duplicates: detail = ('Dataset {} contains duplicated contributors {}.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(duplicates) ) ) yield AuditFailure('duplicated contributors', detail, level='ERROR') return def audit_dataset_no_raw_files(value, system): if value['status'] in ['deleted']: return raw_data = False if 'original_files' in value: for f in value['original_files']: if f['@type'][0] == 'RawSequenceFile' and f['no_file_available'] != True: raw_data = True if raw_data == False: detail = ('Dataset {} does not contain any raw sequence files.'.format( audit_link(path_to_text(value['@id']), value['@id']) ) ) yield AuditFailure('no raw data', detail, level='ERROR') return def audit_dataset_dcp_required_properties(value, system): if value['status'] in ['deleted']: return dcp_reqs = ['dataset_title', 'description', 'funding_organizations'] for req in dcp_reqs: if req not in value: detail = ('Dataset {} does not have {}, required by the DCP.'.format( audit_link(path_to_text(value['@id']), value['@id']), req ) ) yield AuditFailure('missing DCP-required field', detail, level='ERROR') dcp_optional = ['corresponding_contributors', 'contributors'] for opt in dcp_optional: if opt not in value: detail = ('Dataset {} does not have {}, strongly encouraged by the DCP.'.format( audit_link(path_to_text(value['@id']), value['@id']), opt ) ) yield AuditFailure('missing DCP-encouraged field', detail, level='ERROR') return def audit_experiment_released_with_unreleased_files(value, system): ''' A released experiment should not have unreleased files ''' if value['status'] != 'released': return if 'original_files' not in value: return for f in value['original_files']: if f['status'] not in ['released', 'deleted', 'revoked', 'replaced', 'archived']: detail = ('Released dataset {} contains file {} that has not been released.'.format( audit_link(path_to_text(value['@id']), value['@id']), audit_link(path_to_text(f['@id']), f['@id']) ) ) yield AuditFailure('mismatched file status', detail, level='INTERNAL_ACTION') return function_dispatcher_with_files = { 'audit_contributor_institute': audit_contributor_institute, 'audit_contributor_email': audit_contributor_email, 'audit_contributor_lists': audit_contributor_lists, 'audit_dataset_no_raw_files': audit_dataset_no_raw_files, 'audit_dataset_dcp_required_properties': audit_dataset_dcp_required_properties, 'audit_released_with_unreleased_files': audit_experiment_released_with_unreleased_files } @audit_checker('Dataset', frame=['original_files', 'corresponding_contributors', 'contributors']) def audit_experiment(value, system): for function_name in function_dispatcher_with_files.keys(): yield from function_dispatcher_with_files[function_name](value, system) return	[ 1, 515, 5807, 586, 1292, 1053, 313, 13, 1678, 8612, 277, 24155, 29892, 13, 1678, 12990, 277, 29918, 3198, 261, 29892, 13, 29897, 13, 3166, 869, 689, 2620, 1053, 313, 13, 1678, 12990, 277, 29918, 2324, 29892, 13, 1678, 2224, 29918, 517, 29918, 726, 29892, 13, 29897, 13, 13, 13, 1753, 12990, 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src/simmate/website/core_components/filters/symmetry.py	laurenmm/simmate-1	9	73930	<filename>src/simmate/website/core_components/filters/symmetry.py # -- coding: utf-8 -- from django_filters import rest_framework as filters from simmate.database.base_data_types import Spacegroup as SpacegroupTable class Spacegroup(filters.FilterSet): class Meta: model = SpacegroupTable fields = dict( number=["exact", "range"], symbol=["exact"], crystal_system=["exact"], point_group=["exact"], )	[ 1, 529, 9507, 29958, 4351, 29914, 3601, 25046, 29914, 22942, 29914, 3221, 29918, 14036, 29914, 26705, 29914, 11967, 2527, 719, 29889, 2272, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 3166, 9557, 29918, 26705, 1053, 1791, 29918, 4468, 408, 18094, 13, 13, 3166, 1027, 25046, 29889, 9803, 29889, 3188, 29918, 1272, 29918, 8768, 1053, 14121, 2972, 408, 14121, 2972, 3562, 13, 13, 13, 1990, 14121, 2972, 29898, 26705, 29889, 5072, 2697, 1125, 13, 1678, 770, 20553, 29901, 13, 4706, 1904, 353, 14121, 2972, 3562, 13, 4706, 4235, 353, 9657, 29898, 13, 9651, 1353, 29922, 3366, 735, 627, 613, 376, 3881, 12436, 13, 9651, 5829, 29922, 3366, 735, 627, 12436, 13, 9651, 10901, 11195, 29918, 5205, 29922, 3366, 735, 627, 12436, 13, 9651, 1298, 29918, 2972, 29922, 3366, 735, 627, 12436, 13, 4706, 1723, 13, 2 ]
happy_holding_server/db.py	gracewgao/happy-holding	1	122870	import os import sqlite3 from flask import current_app, g BASE_DIR = os.path.dirname(os.path.abspath(__file__)) DATABASE = os.path.join(BASE_DIR, "data/database.db") def get_db(): db = getattr(g, '_database', None) if db is None: db = g._database = sqlite3.connect(DATABASE) return db def close_connection(exception): db = getattr(g, '_database', None) if db is not None: db.close() def init_app(app): app.teardown_appcontext(close_connection)	[ 1, 1053, 2897, 13, 5215, 21120, 29941, 13, 13, 3166, 29784, 1053, 1857, 29918, 932, 29892, 330, 13, 13, 25416, 29918, 9464, 353, 2897, 29889, 2084, 29889, 25721, 29898, 359, 29889, 2084, 29889, 370, 1028, 493, 22168, 1445, 1649, 876, 13, 25832, 27982, 353, 2897, 29889, 2084, 29889, 7122, 29898, 25416, 29918, 9464, 29892, 376, 1272, 29914, 9803, 29889, 2585, 1159, 13, 13, 1753, 679, 29918, 2585, 7295, 13, 1678, 4833, 353, 679, 5552, 29898, 29887, 29892, 22868, 9803, 742, 6213, 29897, 13, 1678, 565, 4833, 338, 6213, 29901, 13, 4706, 4833, 353, 330, 3032, 9803, 353, 21120, 29941, 29889, 6915, 29898, 25832, 27982, 29897, 13, 1678, 736, 4833, 13, 13, 1753, 3802, 29918, 9965, 29898, 11739, 1125, 13, 1678, 4833, 353, 679, 5552, 29898, 29887, 29892, 22868, 9803, 742, 6213, 29897, 13, 1678, 565, 4833, 338, 451, 6213, 29901, 13, 4706, 4833, 29889, 5358, 580, 13, 13, 1753, 2069, 29918, 932, 29898, 932, 1125, 13, 1678, 623, 29889, 371, 538, 776, 29918, 932, 4703, 29898, 5358, 29918, 9965, 29897, 13, 2 ]
datasets/YelpDataset.py	aatifjiwani/yelp-rating-predictor	0	156098	import numpy as np from torch.utils.data import Dataset import jsonlines import json import random from tqdm import tqdm import pandas as pd try: from vocab_gen import * except ImportError: from datasets.vocab_gen import * class YelpDataset(Dataset): def __init__(self, jsonl_file:str, tokenizer=None, max_len:int = 50, is_from_partition=False, add_cls=False, should_stem=True, using_pandas=False, using_bpe=False): self.jsonl_file = jsonl_file self.eval_df = None self.reviews = [] self.tokenizer = tokenizer self.max_len = max_len self.should_stem = should_stem self.add_cls = add_cls if using_pandas: self.train_df = pd.read_json(jsonl_file, lines=True) self.train_df['label'] = self.train_df.iloc[:, 2] self.train_df['text'] = self.train_df['text'].apply(clean_sentence) self.train_df['label'] = self.train_df['label'].apply(lambda x: x-1) self.train_df = self.train_df.drop(self.train_df.columns[[0, 2]], axis=1) print(self.train_df) else: with jsonlines.open(self.jsonl_file) as reader: for obj in reader.iter(type=dict, skip_invalid=True): if is_from_partition: self.reviews.append({"input": obj["input"], "label": obj["label"]}) else: rating = obj["stars"] review = obj["text"] self.reviews.append({"input": review, "label": rating}) print("dataset loaded...") def __len__(self): return len(self.reviews) def __getitem__(self, idx): assert self.tokenizer is not None, "tokenizer must be passed in during instantiation" sample = self.reviews[idx] review, stars = sample["input"], int(sample["label"]) review = self.tokenizer.tokenize2Index(review, self.should_stem)[:self.max_len] if (len(review) < self.max_len): review += [PAD_TOKEN](self.max_len-len(review)) if self.add_cls: review = [len(self.tokenizer.word2Index)] + [x + 1 for x in review] #SET CLS TOKEN TO 0 AND PUSH EVERYTHING DOWN BY 1 return {"input": np.array(review), "label": np.array(stars - 1)} def getFromText(review, tokenizer, max_len=1000, should_stem=True): review = tokenizer.tokenize2Index(review, should_stem)[:max_len] if (len(review) < max_len): review += [PAD_TOKEN](max_len-len(review)) return np.array(review) def split_dataset(self, training_partition: float, training_file: str, validation_file: str): assert training_partition > 0 and training_partition < 1, "Training partition must be a float between 0 and 1 non-exclusive" num_train_examples = int(training_partition * len(self.reviews)) random.shuffle(self.reviews) training_partition = self.reviews[:num_train_examples] val_partition = self.reviews[num_train_examples:] with open(training_file, "w+") as train_f: for rev in tqdm(training_partition): json.dump(rev, train_f) train_f.write("\n") with open(validation_file, "w+") as val_f: for rev in tqdm(val_partition): json.dump(rev, val_f) val_f.write("\n") def make_datasets(self, tokenizer, max_length, x_path, y_path): x_train, y_train, x_val, y_val = [],[],[],[] num_reviews = len(self.reviews) for i in range(num_reviews): rating_vector = [0,0,0,0,0] rating_vector[int(self.reviews[i]["label"])-1] = 1 sequenced_review = tokenizer.tokenize2Index(self.reviews[i]["input"]) if len(sequenced_review) > max_length: sequenced_review = sequenced_review[:max_length] elif len(sequenced_review) < max_length: sequenced_review += [PAD_TOKEN]*(max_length-len(sequenced_review)) sequenced_review = [int(x) for x in sequenced_review] x_train.append(sequenced_review) y_train.append(rating_vector) np.savetxt(x_path, x_train, fmt ='%4d') np.savetxt(y_path, y_train, fmt='%4d') return np.asarray(x_train), np.asarray(y_train) def make_eval_pandas(self, num): file = "../datasets/yelp_challenge_" + str(num) + "_with_answers.jsonl" self.eval_df = pd.read_json(file, lines=True) self.eval_df['label'] = self.eval_df.iloc[:, 2] self.eval_df['text'] = self.eval_df['text'].apply(clean_sentence) self.eval_df['label'] = self.eval_df['label'].apply(lambda x: x - 1) self.eval_df = self.eval_df.drop(self.eval_df.columns[[0, 2]], axis=1) print(self.eval_df) if __name__ == "__main__": training_yelp = YelpDataset("yelp_review_training_dataset.jsonl", tokenizer=None, max_len=1000, is_from_partition=False, add_cls=False) # with open("cleaned_reviews.txt", "w+") as f: len_words = 0 count = 0 for rev in tqdm(training_yelp.reviews): cleaned_review = clean_sentence(rev["input"].lower()).split() len_words += len(cleaned_review) count += 1 print(len_words / count)	[ 1, 1053, 12655, 408, 7442, 13, 3166, 4842, 305, 29889, 13239, 29889, 1272, 1053, 13373, 24541, 13, 5215, 4390, 9012, 13, 5215, 4390, 13, 5215, 4036, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 5215, 11701, 408, 10518, 13, 13, 2202, 29901, 13, 1678, 515, 7931, 370, 29918, 1885, 1053, 334, 13, 19499, 16032, 2392, 29901, 13, 1678, 515, 20035, 29889, 29894, 542, 370, 29918, 1885, 1053, 334, 13, 13, 1990, 612, 295, 29886, 16390, 24541, 29898, 16390, 24541, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 4390, 29880, 29918, 1445, 29901, 710, 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Facraft.py	lyk91471872/Facraft	1	130667	import pygame, random, math, sys, sqlite3 # Classes class Bullet(): def __init__(self, type='a', dmg=1, dx=0): self.image = pygame.image.load(type+'.png').convert_alpha() self.dmg = dmg self.dx = dx self.existence = True self.rect = self.image.get_rect() self.rect.x = 0 self.rect.y = 1000 self.mask = pygame.mask.from_surface(self.image) def move(self): if self.rect.x==0 and self.rect.y==1000: x, y = pygame.mouse.get_pos() self.rect.x = x-self.image.get_width()/2 self.rect.y = y+40-self.image.get_height()/2 else: self.rect.x -= self.dx self.rect.y -= 20 class Enemy: def __init__(self, type='byg', hp=2, dx='rd', dy=3, x=-1, y=-100, score=1): self.image = pygame.image.load(type+'.png').convert_alpha() self.hp = hp self.score = score if dx=='rd': self.dx = (random.random() - 0.5) * 7 else: self.dx = dx self.dy = dy self.rect = self.image.get_rect() if x==-1: self.rect.x = random.random() * 1350 else: self.rect.x = x self.rect.y = y self.existence = True self.mask = pygame.mask.from_surface(self.image) def move(self): self.rect.x += self.dx self.rect.y += self.dy class Player_targeting_enemy(Enemy): def move(self): x, y = pygame.mouse.get_pos() dx = x - self.rect.x if dx>4: dx = 4 if dx<-4: dx = -4 self.dx = dx dy = y - self.rect.y if dy>8: dy = 8 if dy<-8: dy = -8 self.dy = dy self.rect.x += self.dx self.rect.y += self.dy class Player_targeting_bullet(Enemy): def move(self): x, y = pygame.mouse.get_pos() dx = x - self.rect.x if dx>10: dx = 10 if dx<-10: dx = -10 self.dx = dx self.rect.x += self.dx self.rect.y += self.dy class Boss(Enemy): def move(self): if self.timer<0: if self.timer<-3: self.rect.y += 20 elif self.timer==-3: self.rect.y += 15 elif self.timer==-2: self.rect.y += 10 elif self.timer==-1: self.rect.y += 5 self.timer += 1 else: self.rect.x = math.sin(self.timer) * 500 + 600 self.rect.y = math.sin(2 * self.timer) * 100 + 170 self.timer += 0.05 # Preparation player = input('Enter player name: ') if player=='': player = 'Anonym' fps = input('Enter fps: ') if fps=='': fps = 30 else: fps = int(fps) # create a new pygame window pygame.init() screen = pygame.display.set_mode((1280, 800), 0, 0) pygame.display.set_caption('Facraft') # load images background = pygame.image.load('bg.png').convert() dlg_drinking_image = pygame.image.load('dlg_drinking.png').convert_alpha() dlg_image = pygame.image.load('dlg.png').convert_alpha() # initialize variables to manage states bullet_timer = 0 enemy_timer = 0 bullets = [] enemies = [] boss = False game_over = False victory = False paused = False ccps_counter = 0 special_attack = False bullet_type = 'a' bullet_dmg = 1 bullet_pattern = 1 score = 0 # determine fps clock = pygame.time.Clock() # set player fa = pygame.sprite.Sprite() fa.image = pygame.image.load('fa.png').convert_alpha() fa.shoot_image = pygame.image.load('fa_shoot.png').convert_alpha() fa.rect = fa.image.get_rect() # main loop while True: clock.tick(fps) # determine whether to restart/quit for event in pygame.event.get(): if event.type==pygame.QUIT: pygame.quit() sys.exit() elif (game_over or victory) and event.type==pygame.MOUSEBUTTONUP: game_over = False victory = False enemies = [] bullets = [] ccps_counter = 0 special_attack = False if boss: del dlg boss = False score = 0 bullet_type = 'a' bullet_dmg = 1 bullet_pattern = 1 elif not(game_over or victory) and event.type==pygame.KEYDOWN: if event.key==pygame.K_ESCAPE: paused = not(paused) elif event.key==pygame.K_EQUALS: bullet_type = 'b' bullet_pattern = 2 bullet_dmg = 2 score = 90 # level up if score>=20 and score<25: bullet_pattern = 2 if score>=85 and score<90: bullet_type = 'b' bullet_dmg = 2 if paused: continue screen.blit(background, (0,0)) # show score score_font = pygame.font.Font('Arial.ttf', 32) score_label = score_font.render('score: '+str(score), True, (255, 255, 255)) screen.blit(score_label, (20, 20)) if game_over: game_over_label = pygame.image.load('game_over.png').convert_alpha() screen.blit(game_over_label, (260, 307)) pygame.display.update() continue if boss==True and dlg.hp<=0: if not(victory): conn = sqlite3.connect('records.db') cursor = conn.cursor() cursor.execute('create table if not exists records(player text, fps int, score int)') cursor.execute('insert into records(player, fps, score) values(\'' + player + '\', ' + str(fps) + ', ' + str(score) +')') conn.commit() conn.close() victory = True bullets = [] enemies = [] victory_font = pygame.font.Font('Arial.ttf', 200) victory_label = victory_font.render('Victory!', True, (0, 0, 0)) screen.blit(victory_label, (260, 307)) pygame.display.update() continue # update player position x, y = pygame.mouse.get_pos() fa.rect.x = x - 50 fa.rect.y = y - 66 if bullet_timer>=6 or bullet_timer==0: screen.blit(fa.shoot_image, (fa.rect.x, fa.rect.y)) else: screen.blit(fa.image, (fa.rect.x, fa.rect.y)) # shoot bullets bullet_timer += 1 if bullet_timer==8: bullet_timer = 0 if bullet_pattern==1: bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg)) if bullet_pattern==2: bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=10)) bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=0)) bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=-10)) # summon boss if score>=100 and score<200: if boss==False and enemies==[]: boss = True dlg = Boss(type='dlg', hp=1000, dx=0, dy=0, x=600, score=100) dlg.timer = -15 enemies.append(dlg) enemy_timer = 0 # summon enemies enemy_timer += 1 if enemy_timer==20: enemy_timer = 0 if score<35: enemies.append(Enemy()) enemies.append(Enemy()) if score>=35 and score<100: enemies.append(Enemy()) enemies.append(Enemy(dy=10)) enemies.append(Player_targeting_enemy(score=2)) enemies.append(Player_targeting_enemy(score=2)) if score>=100 and score<200 and type(enemies[0])==Boss: if special_attack==False: enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=15, x=dlg.rect.x, y=dlg.rect.y, score=0)) else: special_attack = False dlg.image = dlg_image enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=5, x=dlg.rect.x, y=dlg.rect.y, score=0)) enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=10, x=dlg.rect.x, y=dlg.rect.y, score=0)) enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=15, x=dlg.rect.x, y=dlg.rect.y, score=0)) # update bullets' positions i = len(bullets) - 1 while i>=0: bullets[i].move() if bullets[i].rect.y<-100 or bullets[i].rect.x<-100 or bullets[i].rect.x>1540: del bullets[i] else: screen.blit(bullets[i].image, (bullets[i].rect.x, bullets[i].rect.y)) i -= 1 # update enemies' positions i = len(enemies) - 1 while i>=0: if type(enemies[i])==Boss: if ccps_counter==20: ccps_counter = 0 dlg.image = dlg_drinking_image special_attack = True score += 10 dlg.hp -= 100 enemies[i].move() if enemies[i].rect.y>900 or enemies[i].rect.x<-100 or enemies[i].rect.x>1540: del enemies[i] else: screen.blit(enemies[i].image, (enemies[i].rect.x, enemies[i].rect.y)) i -= 1 # detect collisions i = len(enemies) - 1 while i>=0: if pygame.sprite.collide_mask(enemies[i], fa)!=None: game_over = True bullets = [] enemies = [] conn = sqlite3.connect('records.db') cursor = conn.cursor() cursor.execute('create table if not exists records(player text, fps int, score int)') cursor.execute('insert into records(player, fps, score) values(\'' + player + '\', ' + str(fps) + ', ' + str(score) +')') conn.commit() conn.close() break if type(enemies[i])==Player_targeting_bullet: i -= 1 continue j = len(bullets) - 1 while j>=0: if pygame.sprite.collide_mask(enemies[i], bullets[j])!=None: enemies[i].hp -= bullets[j].dmg if type(enemies[i])==Boss: ccps_counter += bullets[j].dmg del bullets[j] if enemies[i].hp<=0: score += enemies[i].score del enemies[i] break j -= 1 i -= 1 pygame.display.update()	[ 1, 1053, 22028, 29892, 4036, 29892, 5844, 29892, 10876, 29892, 21120, 29941, 13, 13, 13, 29937, 4134, 267, 13, 1990, 8313, 1026, 7295, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1134, 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sshsysmon/drivers/ssh.py	zix99/sshsysmon	46	51918	from lib.plugins import Driver import os from paramiko import SSHClient, RSAKey, AutoAddPolicy from io import StringIO class Ssh(Driver): DEFAULT_KEY_PATH = "~/.ssh/id_rsa" def __init__(self, host, username='root', password = None, key = None, port = 22, path = "/proc"): Driver.__init__(self) self._host = host self._username = username self._password = password self._port = port self._path = path self._client = None self._ftp = None if not password or key: self._key = RSAKey.from_private_key_file(os.path.expanduser(key or Ssh.DEFAULT_KEY_PATH)) else: self._key = None def readProc(self, path): sftp = self._connectFtp() o = StringIO() for line in sftp.open(os.path.join(self._path, path)): o.write(line) return o.getvalue() def sh(self, cmd): client = self._connect() stdin, stdout, stderr = client.exec_command(cmd) return { "stdout": stdout.read().decode('utf-8'), "stderr": stderr.read().decode('utf-8'), "status": stdout.channel.recv_exit_status() } def _connect(self): if not self._client: client = SSHClient() client.set_missing_host_key_policy(AutoAddPolicy()) client.connect(hostname = self._host, username=self._username, password=self._password, pkey=self._key, port=self._port, look_for_keys=False) self._client = client return self._client def _connectFtp(self): if not self._ftp: client = self._connect() self._ftp = client.open_sftp() return self._ftp def getHost(self): return self._host def create(args): return Ssh(**args)	[ 1, 515, 4303, 29889, 12800, 1053, 26391, 13, 5215, 2897, 13, 3166, 1828, 10349, 1053, 22343, 4032, 29892, 390, 8132, 2558, 29892, 11133, 2528, 15644, 13, 3166, 12013, 1053, 1714, 5971, 13, 13, 1990, 317, 845, 29898, 12376, 1125, 13, 12, 23397, 29918, 10818, 29918, 10145, 353, 376, 30022, 6294, 15269, 29914, 333, 29918, 2288, 29874, 29908, 13, 13, 12, 1753, 4770, 2344, 12035, 1311, 29892, 3495, 29892, 8952, 2433, 4632, 742, 4800, 353, 6213, 29892, 1820, 353, 6213, 29892, 2011, 353, 29871, 29906, 29906, 29892, 2224, 353, 5591, 15439, 29908, 1125, 13, 12, 12, 12376, 17255, 2344, 12035, 1311, 29897, 13, 12, 12, 1311, 3032, 3069, 353, 3495, 13, 12, 12, 1311, 3032, 6786, 353, 8952, 13, 12, 12, 1311, 3032, 5630, 353, 4800, 13, 12, 12, 1311, 3032, 637, 353, 2011, 13, 12, 12, 1311, 3032, 2084, 353, 2224, 13, 13, 12, 12, 1311, 3032, 4645, 353, 6213, 13, 12, 12, 1311, 3032, 23102, 353, 6213, 13, 13, 12, 12, 361, 451, 4800, 470, 1820, 29901, 13, 12, 12, 12, 1311, 3032, 1989, 353, 390, 8132, 2558, 29889, 3166, 29918, 9053, 29918, 1989, 29918, 1445, 29898, 359, 29889, 2084, 29889, 18837, 1792, 29898, 1989, 470, 317, 845, 29889, 23397, 29918, 10818, 29918, 10145, 876, 13, 12, 12, 2870, 29901, 13, 12, 12, 12, 1311, 3032, 1989, 353, 6213, 13, 13, 12, 1753, 1303, 27893, 29898, 1311, 29892, 2224, 1125, 13, 12, 12, 29879, 23102, 353, 1583, 3032, 6915, 29943, 9392, 580, 13, 13, 12, 12, 29877, 353, 1714, 5971, 580, 13, 12, 12, 1454, 1196, 297, 269, 23102, 29889, 3150, 29898, 359, 29889, 2084, 29889, 7122, 29898, 1311, 3032, 2084, 29892, 2224, 22164, 13, 12, 12, 12, 29877, 29889, 3539, 29898, 1220, 29897, 13, 13, 12, 12, 2457, 288, 29889, 657, 1767, 580, 13, 13, 12, 1753, 528, 29898, 1311, 29892, 9920, 1125, 13, 12, 12, 4645, 353, 1583, 3032, 6915, 580, 13, 12, 12, 4172, 262, 29892, 27591, 29892, 380, 20405, 353, 3132, 29889, 4258, 29918, 6519, 29898, 9006, 29897, 13, 12, 12, 2457, 426, 13, 12, 12, 12, 29908, 25393, 1115, 27591, 29889, 949, 2141, 13808, 877, 9420, 29899, 29947, 5477, 13, 12, 12, 12, 29908, 303, 20405, 1115, 380, 20405, 29889, 949, 2141, 13808, 877, 9420, 29899, 29947, 5477, 13, 12, 12, 12, 29908, 4882, 1115, 27591, 29889, 12719, 29889, 3757, 29894, 29918, 13322, 29918, 4882, 580, 13, 12, 12, 29913, 13, 13, 12, 1753, 903, 6915, 29898, 1311, 1125, 13, 12, 12, 361, 451, 1583, 3032, 4645, 29901, 13, 12, 12, 12, 4645, 353, 22343, 4032, 580, 13, 12, 12, 12, 4645, 29889, 842, 29918, 27259, 29918, 3069, 29918, 1989, 29918, 22197, 29898, 12300, 2528, 15644, 3101, 13, 12, 12, 12, 4645, 29889, 6915, 29898, 28988, 353, 1583, 3032, 3069, 29892, 8952, 29922, 1311, 3032, 6786, 29892, 4800, 29922, 1311, 3032, 5630, 29892, 282, 1989, 29922, 1311, 3032, 1989, 29892, 2011, 29922, 1311, 3032, 637, 29892, 1106, 29918, 1454, 29918, 8149, 29922, 8824, 29897, 13, 12, 12, 12, 1311, 3032, 4645, 353, 3132, 13, 12, 12, 2457, 1583, 3032, 4645, 13, 13, 12, 1753, 903, 6915, 29943, 9392, 29898, 1311, 1125, 13, 12, 12, 361, 451, 1583, 3032, 23102, 29901, 13, 12, 12, 12, 4645, 353, 1583, 3032, 6915, 580, 13, 12, 12, 12, 1311, 3032, 23102, 353, 3132, 29889, 3150, 29918, 29879, 23102, 580, 13, 12, 12, 2457, 1583, 3032, 23102, 13, 13, 12, 1753, 679, 8514, 29898, 1311, 1125, 13, 12, 12, 2457, 1583, 3032, 3069, 13, 13, 1753, 1653, 29898, 5085, 1125, 13, 12, 2457, 317, 845, 29898, 1068, 5085, 29897, 2 ]
utils/The_Alchemist_Code/conceptcard.py	heboric/ouro	3	25260	<reponame>heboric/ouro from ._main import DIRS,LinkDB,ConvertFields,StrBuff,StrCondition,Embed, Rarity,GitLabLink import copy def Conceptcard(iname, page): #get card dir card=DIRS['Conceptcard'][iname] #create basic embed embed= Embed( title='', #page name url=LinkDB('card',iname,'',True,'jp') #page link ) embed.set_author(name=card['name'],url=embed.url)#, url=LinkDB('card',iname)) embed.set_thumbnail(url=GitLabLink('/ConceptCardIcon/%s.png'%iname))#'http://cdn.alchemistcodedb.com/images/cards/icons/{}.png'.format(iname)) embed.set_image(url=GitLabLink('/ConceptCard/%s.png'%iname))#'http://cdn.alchemistcodedb.com/images/cards/artworks/{}.png'.format(iname)) while page: if page=='main': embed.ConvertFields(main(card)) embed.title='main' break break return embed def main(card): try: unit=DIRS['Unit']['UN_V2_'+card['iname'].rsplit('_',2)[1]]['name'] except: unit='None' fields = [ {'name': 'Unit', 'value': unit, 'inline':True}, {'name': 'Rarity', 'value': Rarity(card['rare'],4), 'inline':True}, {'name': 'Enhance Cost', 'value': str(card['en_cost']), 'inline':True}, {'name': 'Enhance EXP', 'value': str(card['en_exp']), 'inline':True}, ] #Weapon Type ~ Tag if 'trust_reward' in card: fields.append({'name': 'Trust Reward(s)', 'value': '```\t%s```'%'\n\t'.join( [ '%s%s (%s)'%('%sx'%reward['reward_num'] if reward['reward_num']>1 else '', DIRS[reward['reward_type']][reward['iname']]['name'],reward['reward_type'].replace('Artifact','Gear')) for reward in DIRS['Conceptcardtrustreward'][card['trust_reward']]['rewards'] ] ), 'inline': False}) #effects for i,effect in enumerate(card['effects']): value=[] #cnds_iname if 'cnds_iname' in effect: value.append( '__Condition(s):__\n'+CardConditions(effect['cnds_iname']) ) #abil_iname if 'abil_iname' in effect: value.append('__Vision Ability:__\n'+ DIRS['Ability'][effect['abil_iname']]['name'] ) #skin if 'skin' in effect: value.append('__Skin:__\n'+DIRS['Artifact'][effect['skin']]['name']) #statusup_skill ~ from equipping if 'statusup_skill' in effect: value.append('__Stats:__\n'+ StrBuff(DIRS['Skill'][effect['statusup_skill']]['target_buff_iname'],2,2) ) ##### # LV 30: stats (x per level) # Limit Break: x per level # Max Limit Break: total stats (lv 40, all limit breaks, + mlb bonus) #card_skill buffs=[] if 'card_skill' in effect: buffs.append(DIRS['Skill'][effect['card_skill']]['target_buff_iname']) value.append( '__LV 30 Stats:__ %s'%( StrBuff(DIRS['Skill'][effect['card_skill']]['target_buff_iname'],30,40) ) ) #add_card_skill_buff_awake if 'add_card_skill_buff_awake' in effect: buffs.append(effect['add_card_skill_buff_awake']) value.append('__Limit Break Stats:__\n1:%s\n5:%s'%(StrBuff(effect['add_card_skill_buff_awake'],1,5),StrBuff(effect['add_card_skill_buff_awake'],5,5)) ) #add_card_skill_buff_lvmax if 'add_card_skill_buff_lvmax' in effect: buffs.append(effect['add_card_skill_buff_lvmax']) value.append('__MLB Bonus Stats:__\n'+ StrBuff(effect['add_card_skill_buff_lvmax'],2,2) ) #total stats if buffs: value.append('__Max Stats:__\n'+ StrBuff(add_buffs(buffs),2,2) ) for buff in buffs: buff=DIRS['Buff'][buff] if 'un_group' in buff: value.append('__Boosted Units:__\n%s'%(', '.join([ DIRS['Unit'][unit]['name'] for unit in DIRS['Unitgroup'][buff['un_group']]['units'] ]))) break #elif costum target fields.append({'name': 'Effect '+str(i+1), 'value': '\n'.join(value), 'inline':False}) #lore fields.append({'name': 'Description', 'value': card['expr'], 'inline': False}) return fields def CardConditions(iname): conds=DIRS['Conceptcardconditions'][iname] ret=[] #unit group if 'unit_group' in conds: ret.append('Units: '+', '.join([ DIRS['Unit'][uiname]['name'] for uiname in DIRS['Unitgroup'][conds['unit_group']]['units'] ])) #job group if 'job_group' in conds: ret.append('Jobs: '+', '.join([ DIRS['Job'][jiname]['name'] for jiname in DIRS['Jobgroup'][conds['job_group']]['jobs'] ])) #element if 'conditions_elements' in conds: ret.append('Element: '+', '.join(conds['conditions_elements'])) #birth if 'birth' in conds: ret.append('Birth: '+', '.join(conds['birth'])) return '\n'.join(ret) def add_buffs(buffs): #check type buffs=[ copy.deepcopy(DIRS['Buff'][buff]) if type(buff)==str else copy.deepcopy(buff) for buff in buffs ] #add effects up types={'Scale':{},'Add':{},'Fixed':{}} for buff in buffs: for stat in buff['buffs']: typ=types[stat['calc']] if stat['type'] not in typ: typ[stat['type']]=stat else: typ[stat['type']]['value_ini']+=stat['value_ini'] typ[stat['type']]['value_max']+=stat['value_max'] typ[stat['type']]['value_one']+=stat['value_one'] #revert back return ({'buffs':[ buff for typ,items in types.items() for key,buff in items.items() ]})	[ 1, 529, 276, 1112, 420, 29958, 354, 4089, 293, 29914, 283, 307, 13, 3166, 869, 29918, 3396, 1053, 360, 8193, 29903, 29892, 6595, 4051, 29892, 18455, 14256, 29892, 5015, 29933, 3096, 29892, 5015, 25255, 29892, 6026, 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botenv/lib/python3.9/site-packages/apscheduler/schedulers/twisted.py	0xtuytuy/unit-crypto-ski-week-poap-bot	3	130636	<gh_stars>1-10 from __future__ import absolute_import from functools import wraps from apscheduler.schedulers.base import BaseScheduler from apscheduler.util import maybe_ref try: from twisted.internet import reactor as default_reactor except ImportError: # pragma: nocover raise ImportError('TwistedScheduler requires Twisted installed') def run_in_reactor(func): @wraps(func) def wrapper(self, args, kwargs): self._reactor.callFromThread(func, self, args, **kwargs) return wrapper class TwistedScheduler(BaseScheduler): """ A scheduler that runs on a Twisted reactor. Extra options: =========== ======================================================== ``reactor`` Reactor instance to use (defaults to the global reactor) =========== ======================================================== """ _reactor = None _delayedcall = None def _configure(self, config): self._reactor = maybe_ref(config.pop('reactor', default_reactor)) super(TwistedScheduler, self)._configure(config) @run_in_reactor def shutdown(self, wait=True): super(TwistedScheduler, self).shutdown(wait) self._stop_timer() def _start_timer(self, wait_seconds): self._stop_timer() if wait_seconds is not None: self._delayedcall = self._reactor.callLater(wait_seconds, self.wakeup) def _stop_timer(self): if self._delayedcall and self._delayedcall.active(): self._delayedcall.cancel() del self._delayedcall @run_in_reactor def wakeup(self): self._stop_timer() wait_seconds = self._process_jobs() self._start_timer(wait_seconds) def _create_default_executor(self): from apscheduler.executors.twisted import TwistedExecutor return TwistedExecutor()	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 4770, 29888, 9130, 1649, 1053, 8380, 29918, 5215, 13, 13, 3166, 2090, 312, 8789, 1053, 11463, 567, 13, 13, 3166, 263, 567, 305, 14952, 29889, 816, 287, 352, 414, 29889, 3188, 1053, 7399, 4504, 14952, 13, 3166, 263, 567, 305, 14952, 29889, 4422, 1053, 5505, 29918, 999, 13, 13, 2202, 29901, 13, 1678, 515, 3252, 12652, 29889, 14168, 300, 1053, 337, 7168, 408, 2322, 29918, 276, 7168, 13, 19499, 16032, 2392, 29901, 29871, 396, 282, 23929, 29901, 302, 542, 957, 13, 1678, 12020, 16032, 2392, 877, 27418, 12652, 4504, 14952, 6858, 8168, 12652, 5130, 1495, 13, 13, 13, 1753, 1065, 29918, 262, 29918, 276, 7168, 29898, 9891, 1125, 13, 1678, 732, 29893, 336, 567, 29898, 9891, 29897, 13, 1678, 822, 14476, 29898, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 1583, 3032, 276, 7168, 29889, 4804, 4591, 4899, 29898, 9891, 29892, 1583, 29892, 334, 5085, 29892, 3579, 19290, 29897, 13, 1678, 736, 14476, 13, 13, 13, 1990, 8168, 12652, 4504, 14952, 29898, 5160, 4504, 14952, 1125, 13, 1678, 9995, 13, 1678, 319, 1364, 14952, 393, 6057, 373, 263, 8168, 12652, 337, 7168, 29889, 13, 13, 1678, 7338, 336, 3987, 29901, 13, 13, 1678, 1275, 4936, 29922, 1275, 9166, 9166, 9166, 2751, 1360, 13, 1678, 4954, 276, 7168, 16159, 830, 7168, 2777, 304, 671, 313, 4381, 29879, 304, 278, 5534, 337, 7168, 29897, 13, 1678, 1275, 4936, 29922, 1275, 9166, 9166, 9166, 2751, 1360, 13, 1678, 9995, 13, 13, 1678, 903, 276, 7168, 353, 6213, 13, 1678, 903, 18829, 287, 4804, 353, 6213, 13, 13, 1678, 822, 903, 17591, 29898, 1311, 29892, 2295, 1125, 13, 4706, 1583, 3032, 276, 7168, 353, 5505, 29918, 999, 29898, 2917, 29889, 7323, 877, 276, 7168, 742, 2322, 29918, 276, 7168, 876, 13, 4706, 2428, 29898, 27418, 12652, 4504, 14952, 29892, 1583, 467, 29918, 17591, 29898, 2917, 29897, 13, 13, 1678, 732, 3389, 29918, 262, 29918, 276, 7168, 13, 1678, 822, 12522, 3204, 29898, 1311, 29892, 4480, 29922, 5574, 1125, 13, 4706, 2428, 29898, 27418, 12652, 4504, 14952, 29892, 1583, 467, 845, 329, 3204, 29898, 10685, 29897, 13, 4706, 1583, 3032, 9847, 29918, 20404, 580, 13, 13, 1678, 822, 903, 2962, 29918, 20404, 29898, 1311, 29892, 4480, 29918, 23128, 1125, 13, 4706, 1583, 3032, 9847, 29918, 20404, 580, 13, 4706, 565, 4480, 29918, 23128, 338, 451, 6213, 29901, 13, 9651, 1583, 3032, 18829, 287, 4804, 353, 1583, 3032, 276, 7168, 29889, 4804, 29931, 1008, 29898, 10685, 29918, 23128, 29892, 1583, 29889, 29893, 1296, 786, 29897, 13, 13, 1678, 822, 903, 9847, 29918, 20404, 29898, 1311, 1125, 13, 4706, 565, 1583, 3032, 18829, 287, 4804, 322, 1583, 3032, 18829, 287, 4804, 29889, 4925, 7295, 13, 9651, 1583, 3032, 18829, 287, 4804, 29889, 20713, 580, 13, 9651, 628, 1583, 3032, 18829, 287, 4804, 13, 13, 1678, 732, 3389, 29918, 262, 29918, 276, 7168, 13, 1678, 822, 281, 1296, 786, 29898, 1311, 1125, 13, 4706, 1583, 3032, 9847, 29918, 20404, 580, 13, 4706, 4480, 29918, 23128, 353, 1583, 3032, 5014, 29918, 9057, 29879, 580, 13, 4706, 1583, 3032, 2962, 29918, 20404, 29898, 10685, 29918, 23128, 29897, 13, 13, 1678, 822, 903, 3258, 29918, 4381, 29918, 4258, 3406, 29898, 1311, 1125, 13, 4706, 515, 263, 567, 305, 14952, 29889, 4258, 29560, 29889, 7516, 12652, 1053, 8168, 12652, 13366, 13, 4706, 736, 8168, 12652, 13366, 580, 13, 2 ]
artifacts/migrations/0010_auto_20201201_1208.py	Joe-Bentley/team_totem	0	146946	<reponame>Joe-Bentley/team_totem # Generated by Django 3.1.3 on 2020-12-01 12:08 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('artifacts', '0009_auto_20201201_1205'), ] operations = [ migrations.AlterField( model_name='artifact', name='image', field=models.ImageField(default='uploads/qmark.png', upload_to=''), ), ]	[ 1, 529, 276, 1112, 420, 29958, 29967, 7297, 29899, 29933, 296, 2330, 29914, 14318, 29918, 4260, 331, 13, 29937, 3251, 630, 491, 15337, 29871, 29941, 29889, 29896, 29889, 29941, 373, 29871, 29906, 29900, 29906, 29900, 29899, 29896, 29906, 29899, 29900, 29896, 29871, 29896, 29906, 29901, 29900, 29947, 13, 13, 3166, 9557, 29889, 2585, 1053, 9725, 800, 29892, 4733, 13, 13, 13, 1990, 341, 16783, 29898, 26983, 800, 29889, 29924, 16783, 1125, 13, 13, 1678, 9962, 353, 518, 13, 4706, 6702, 8813, 29879, 742, 525, 29900, 29900, 29900, 29929, 29918, 6921, 29918, 29906, 29900, 29906, 29900, 29896, 29906, 29900, 29896, 29918, 29896, 29906, 29900, 29945, 5477, 13, 1678, 4514, 13, 13, 1678, 6931, 353, 518, 13, 4706, 9725, 800, 29889, 2499, 357, 3073, 29898, 13, 9651, 1904, 29918, 978, 2433, 8813, 742, 13, 9651, 1024, 2433, 3027, 742, 13, 9651, 1746, 29922, 9794, 29889, 2940, 3073, 29898, 4381, 2433, 9009, 29879, 29914, 29939, 3502, 29889, 2732, 742, 6441, 29918, 517, 2433, 5477, 13, 4706, 10353, 13, 1678, 4514, 13, 2 ]
pytype/__version__.py	souravbadami/pytype	1	63513	<filename>pytype/__version__.py # pylint: skip-file __version__ = '2020.04.01'	[ 1, 529, 9507, 29958, 2272, 1853, 29914, 1649, 3259, 26914, 2272, 13, 29937, 282, 2904, 524, 29901, 14383, 29899, 1445, 13, 1649, 3259, 1649, 353, 525, 29906, 29900, 29906, 29900, 29889, 29900, 29946, 29889, 29900, 29896, 29915, 13, 2 ]
ci/render_pipelines.py	vpnachev/gardenlinux	0	160323	<reponame>vpnachev/gardenlinux #!/usr/bin/env python3 import dacite import dataclasses import itertools import typing import yaml import glci.model import tkn.model GardenlinuxFlavour = glci.model.GardenlinuxFlavour Pipeline = tkn.model.Pipeline PipelineSpec = tkn.model.PipelineSpec PipelineMetadata = tkn.model.PipelineMetadata TaskRef = tkn.model.TaskRef PipelineTask = tkn.model.PipelineTask NamedParam = tkn.model.NamedParam def mk_pipeline_task( gardenlinux_flavour: GardenlinuxFlavour, pipeline_flavour: glci.model.PipelineFlavour, ): if not pipeline_flavour is glci.model.PipelineFlavour.SNAPSHOT: raise NotImplementedError(pipeline_flavour) feature_names = ','.join( e.value for e in ( gardenlinux_flavour.platform, gardenlinux_flavour.extensions, gardenlinux_flavour.modifiers, ) ) upload_prefix = f'snapshot/{gardenlinux_flavour.architecture.value}/' return PipelineTask( name=gardenlinux_flavour.canonical_name_prefix().replace('/', '-').replace('_', '-'), taskRef=TaskRef(name='build-gardenlinux-task'), # hardcode name for now params=[ NamedParam(name='features', value=feature_names), NamedParam(name='uploadprefix', value=upload_prefix), ], ) def mk_pipeline( gardenlinux_flavours: typing.Sequence[GardenlinuxFlavour] pipeline_flavour: glci.model.PipelineFlavour=glci.model.PipelineFlavour.SNAPSHOT, ): gardenlinux_flavours = set(gardenlinux_flavours) # mk unique pipeline = Pipeline( metadata=PipelineMetadata( name='build-gardenlinux-snapshot-pipeline', namespace='gardenlinux-tkn', ), spec=PipelineSpec( tasks=[ mk_pipeline_task( gardenlinux_flavour=glf, pipeline_flavour=pipeline_flavour, ), for glf in gardenlinux_flavours ], ), ) return pipeline def render_pipeline_dict( gardenlinux_flavours: typing.Sequence[GardenlinuxFlavour], ): gardenlinux_flavours = set(gardenlinux_flavours) # mk unique pipeline:dict = mk_pipeline(gardenlinux_flavours=gardenlinux_flavours) return pipeline def enumerate_build_flavours(build_yaml: str='../build.yaml'): with open(build_yaml) as f: parsed = yaml.safe_load(f) GardenlinuxFlavour = glci.model.GardenlinuxFlavour GardenlinuxFlavourCombination = glci.model.GardenlinuxFlavourCombination Architecture = glci.model.Architecture Platform = glci.model.Platform Extension = glci.model.Extension Modifier = glci.model.Modifier flavour_combinations = [ dacite.from_dict( data_class=GardenlinuxFlavourCombination, data=flavour_def, config=dacite.Config( cast=[Architecture, Platform, Extension, Modifier, typing.Tuple], ) ) for flavour_def in parsed['flavours'] ] for comb in flavour_combinations: for arch, platf, exts, mods in itertools.product( comb.architectures, comb.platforms, comb.extensions, comb.modifiers, ): yield GardenlinuxFlavour( architecture=arch, platform=platf, extensions=exts, modifiers=mods, # fails=comb.fails, # not part of variant ) def main(): gardenlinux_flavours = list(enumerate_build_flavours()) outfile = 'pipeline.yaml' pipeline:dict = render_pipeline_dict( gardenlinux_flavours=gardenlinux_flavours, ) with open(outfile, 'w') as f: yaml.safe_dump(dataclasses.asdict(pipeline), f) print(f'dumped pipeline with {len(gardenlinux_flavours)} task(s) to {outfile}') if __name__ == '__main__': main()	[ 1, 529, 276, 1112, 420, 29958, 29894, 21257, 1829, 29894, 29914, 29887, 7879, 9389, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 29941, 13, 13, 5215, 270, 562, 568, 13, 5215, 848, 13203, 13, 5215, 4256, 8504, 13, 5215, 19229, 13, 13, 5215, 343, 8807, 13, 13, 5215, 3144, 455, 29889, 4299, 13, 5215, 260, 3959, 29889, 4299, 13, 13, 29954, 7879, 9389, 29943, 4112, 473, 353, 3144, 455, 29889, 4299, 29889, 29954, 7879, 9389, 29943, 4112, 473, 13, 13, 29925, 23828, 353, 260, 3959, 29889, 4299, 29889, 29925, 23828, 13, 29925, 23828, 10299, 353, 260, 3959, 29889, 4299, 29889, 29925, 23828, 10299, 13, 29925, 23828, 18417, 353, 260, 3959, 29889, 4299, 29889, 29925, 23828, 18417, 13, 5398, 5620, 353, 260, 3959, 29889, 4299, 29889, 5398, 5620, 13, 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Latest/venv/Lib/site-packages/apptools/io/h5/utils.py	adamcvj/SatelliteTracker	1	20740	from contextlib import contextmanager from .file import H5File @contextmanager def open_h5file(filename, mode='r+', kwargs): """Context manager for reading an HDF5 file as an H5File object. Parameters ---------- filename : str HDF5 file name. mode : str Mode to open the file: 'r' : Read-only 'w' : Write; create new file (an existing file would be deleted). 'a' : Read and write to file; create if not existing 'r+': Read and write to file; must already exist See `H5File` for additional keyword arguments. """ h5 = H5File(filename, mode=mode, kwargs) try: yield h5 finally: h5.close()	[ 1, 515, 3030, 1982, 1053, 3030, 12847, 13, 13, 3166, 869, 1445, 1053, 379, 29945, 2283, 13, 13, 13, 29992, 4703, 12847, 13, 1753, 1722, 29918, 29882, 29945, 1445, 29898, 9507, 29892, 4464, 2433, 29878, 29974, 742, 3579, 19290, 1125, 13, 1678, 9995, 2677, 8455, 363, 5183, 385, 379, 4037, 29945, 934, 408, 385, 379, 29945, 2283, 1203, 29889, 13, 13, 1678, 12662, 2699, 13, 1678, 448, 1378, 29899, 13, 1678, 10422, 584, 851, 13, 4706, 379, 4037, 29945, 934, 1024, 29889, 13, 1678, 4464, 584, 851, 13, 4706, 21864, 304, 1722, 278, 934, 29901, 13, 13, 4706, 525, 29878, 29915, 584, 7523, 29899, 6194, 13, 4706, 525, 29893, 29915, 584, 14350, 29936, 1653, 716, 934, 313, 273, 5923, 934, 723, 367, 11132, 467, 13, 4706, 525, 29874, 29915, 584, 7523, 322, 2436, 304, 934, 29936, 1653, 565, 451, 5923, 13, 4706, 525, 29878, 29974, 2396, 7523, 322, 2436, 304, 934, 29936, 1818, 2307, 1863, 13, 13, 1678, 2823, 421, 29950, 29945, 2283, 29952, 363, 5684, 13553, 6273, 29889, 13, 1678, 9995, 13, 1678, 298, 29945, 353, 379, 29945, 2283, 29898, 9507, 29892, 4464, 29922, 8513, 29892, 3579, 19290, 29897, 13, 1678, 1018, 29901, 13, 4706, 7709, 298, 29945, 13, 1678, 7146, 29901, 13, 4706, 298, 29945, 29889, 5358, 580, 13, 2 ]
interpreter/interpreter.py	JASchilz/RoverMUD	4	61585	<reponame>JASchilz/RoverMUD #------------------------------------------------------------------------------ # interpreter/interpreter.py # Copyright 2011 <NAME> # Licensed under Apache v2 #------------------------------------------------------------------------------ articles = [" a ", " the "] def verb(command): # A function to isolate the verb in a command. this_verb = "" the_rest = "" first_space = command.find(" ") # If this_input contains a space, the verb is everything before the # first space. if first_space > 0: this_verb = command[0:first_space] the_rest = command[first_space + 1:len(command)] # If it doesn't contain a space, the whole thing is the verb. else: this_verb = command # We handle simple verb aliases at this level... if command[0] == "'": this_verb = "say" the_rest = command[1:len(command)] if command == "north" or command == "n": this_verb = "go" the_rest = "north" elif command == "south" or command == "s": this_verb = "go" the_rest = "south" elif command == "east" or command == "e": this_verb = "go" the_rest = "east" elif command == "west" or command == "w": this_verb = "go" the_rest = "west" elif command == "up" or command == "u": this_verb = "go" the_rest = "up" elif command == "down" or command == "d": this_verb = "go" the_rest = "down" if this_verb == "l": this_verb = "look" elif this_verb == "i": this_verb = "inv" elif this_verb == "h": this_verb = "health" return this_verb, the_rest def interpret(the_verb, the_rest, transitivity=1): the_rest = " " + the_rest.lower() + " " for article in articles: the_rest = the_rest.replace(article, '') if transitivity == 1: the_rest = the_rest.strip().split() if len(the_rest) > 0: # 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imperative/python/test/unit/core/test_interpreter.py	chenls/MegEngine	3	66879	<filename>imperative/python/test/unit/core/test_interpreter.py import subprocess import sys import numpy as np import pytest import megengine as mge import megengine.functional as F from megengine.core._imperative_rt.core2 import ( _set_drop_flag, _set_swap_flag, config_async_level, get_async_level, ) def test_basic(): config_async_level(2) assert get_async_level() == 2 with pytest.raises(RuntimeError): config_async_level(3) def test_level1_infer_value(): config_async_level(1) a = mge.tensor([[1, 2], [2, 3], [3, 4]], dtype="float32") b = mge.tensor([1, 1], dtype="float32") identity = mge.tensor(np.array([[1, 0], [0, 1]]), dtype="float32") # make DepType::VALUE unknown c = F.matmul(b, identity) with pytest.raises(RuntimeError): d = F.reshape(a, c) config_async_level(2) def test_level1_infer_shape_with_unknown(): config_async_level(2) a = mge.tensor([[1, 2, 2, 3]], dtype="float32") b = mge.tensor([1, 1], dtype="float32") multi2 = mge.tensor(np.array([[2, 0], [0, 2]]), dtype="float32") c = F.matmul(b, multi2) # make DepType::SHAPE unknown d = F.reshape(a, c) e = mge.tensor([[1, 2]], dtype="float32") config_async_level(1) # test src no shape, throw in level1 with pytest.raises(RuntimeError): f = F.reshape(d, b) with pytest.raises(RuntimeError): g = F.matmul(d, e) config_async_level(2) def test_host_compute_elemwise(): a = mge.tensor([[1, 2], [2, 3], [3, 4]], dtype="float32") b = mge.tensor([1, 1], dtype="int32") # check DepType::VALUE is still known c = b * 2 with pytest.raises(RuntimeError): d = F.reshape(a, c) def test_swap_drop_basic(): _set_swap_flag(True) _set_drop_flag(True) # test xpu compute x = mge.tensor(np.ones((3, 3)), dtype=np.float32) y = mge.tensor(np.ones((3, 3)), dtype=np.float32) z = x + y x._swap_out() z._drop() z.numpy() # test host value compute x = mge.tensor(np.ones((2, 2)), dtype=np.float32) y = mge.tensor(np.ones((2, 2)), dtype=np.float32) z = x + y x._swap_out() z._drop() z.numpy() _set_swap_flag(False) _set_drop_flag(False) def test_finalize(): prog = """ import megengine with megengine.core.option("enable_host_compute", 0): x = megengine.tensor(0) y = x + 1 y.numpy() """ subprocess.check_call([sys.executable, "-c", prog])	[ 1, 529, 9507, 29958, 26039, 1230, 29914, 4691, 29914, 1688, 29914, 5441, 29914, 3221, 29914, 1688, 29918, 1639, 1457, 357, 29889, 2272, 13, 5215, 1014, 5014, 13, 5215, 10876, 13, 13, 5215, 12655, 408, 7442, 13, 5215, 11451, 1688, 13, 13, 5215, 4508, 10599, 408, 286, 479, 13, 5215, 4508, 10599, 29889, 2220, 284, 408, 383, 13, 3166, 4508, 10599, 29889, 3221, 3032, 26039, 1230, 29918, 2273, 29889, 3221, 29906, 1053, 313, 13, 1678, 903, 842, 29918, 8865, 29918, 15581, 29892, 13, 1678, 903, 842, 29918, 26276, 29918, 15581, 29892, 13, 1678, 2295, 29918, 12674, 29918, 5563, 29892, 13, 1678, 679, 29918, 12674, 29918, 5563, 29892, 13, 29897, 13, 13, 13, 1753, 1243, 29918, 16121, 7295, 13, 1678, 2295, 29918, 12674, 29918, 5563, 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pcbdl/netlistsvg.py	maxschommer/pcbdl	117	1612064	# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from .base import Part, PartInstancePin, Net from .context import * import pcbdl.small_parts as small_parts import collections import json import os import re import subprocess import tempfile """Renders our circuit into svg with the help of netlistsvg.""" __all__ = ["generate_svg", "SVGPage"] NETLISTSVG_LOCATION = os.path.expanduser( os.environ.get("NETLISTSVG_LOCATION", "~/netlistsvg")) NET_REGEX_ALL = "." class SVGNet(object): def __init__(self, instance, schematic_page): self.instance = instance self.schematic_page = schematic_page current_node_number = -1 @classmethod def get_next_node_number(cls): cls.current_node_number += 1 return cls.current_node_number def categorize_groups(self): self.grouped_connections = [] for original_group in self.instance.grouped_connections: group = list(original_group) # make a copy so we can fragment it group_pin_count = sum(len(pin.part.pins) for pin in group) self.grouped_connections.append(group) if self.schematic_page.airwires < 2: continue #if group_pin_count < 40: #continue first_big_part = None for pin in original_group: if len(pin.part.pins) <= 3: # part is too small, probably should stay here continue if first_big_part is None: first_big_part = pin.part continue if pin.part is not first_big_part: # too many big parts here, move this one out #print("Too many big parts in %s group %r, moving %r out" % (self.instance.name, group, pin)) group.remove(pin) self.grouped_connections.append((pin,)) self.node_numbers = [self.get_next_node_number() for group in self.grouped_connections] def _find_group(self, pin): if not hasattr(self, "node_numbers"): self.categorize_groups() for i, group in enumerate(self.grouped_connections): if pin in group: return i, group raise ValueError("Can't find pin %s on %s" % (pin, self.instance)) def get_other_pins_in_group(self, pin): _, group = self._find_group(pin) return group def get_node_number(self, pin): group_idx, _ = self._find_group(pin) if self.schematic_page.airwires == 0: return self.node_numbers[0] return self.node_numbers[group_idx] class SVGPart(object): SKIN_MAPPING = { # pcbdl_class: (skin_alias_name, pin_names, is_symmetric, is_rotatable) # more specific comes first small_parts.R: ("r_", "AB", True, True), small_parts.C: ("c_", "AB", True, True), small_parts.L: ("l_", "AB", True, True), small_parts.LED: ("d_led_", "+-", False, True), small_parts.D: ("d_", "+-", False, True), } SKIN_MAPPING_INSTANCES = tuple(SKIN_MAPPING.keys()) def __init__(self, part, schematic_page): self.part = part self.schematic_page = schematic_page self.svg_type = part.refdes self.is_skinned = False self.skin_pin_names = () self.is_symmetric = False self.is_rotatable = False for possible_class, skin_properties in self.SKIN_MAPPING.items(): if isinstance(part, possible_class): self.is_skinned = True self.svg_type, self.skin_pin_names, self.is_symmetric, self.is_rotatable = skin_properties break def attach_net_name_port(self, net, net_node_number, direction): self.schematic_page.ports_dict["%s_node%s" % (net.name, str(net_node_number))] = { "bits": [net_node_number], "direction": direction } def attach_net_name(self, net, net_node_number, display=True): netname_entry = self.schematic_page.netnames_dict[net.name] if net_node_number not in netname_entry["bits"]: # avoid duplicates netname_entry["bits"].append(net_node_number) if display: netname_entry["hide_name"] = 0 def attach_power_symbol(self, net, net_node_number): name = net.name if len(name) > 10: name = name.replace("PP","") name = name.replace("_VREF","") power_symbol = { "connections": {"A": [net_node_number]}, "attributes": {"name": name}, "type": "gnd" if net.is_gnd else "vcc", } if name == "GND": # redundant del power_symbol["attributes"]["name"] cell_name = "power_symbol_%d" % (net_node_number) self.schematic_page.cells_dict[cell_name] = power_symbol def should_draw_pin(self, pin): if not pin._net: # if we don't have a pin name, do it conditionally based on if a regex is set return self.schematic_page.net_regex.pattern == NET_REGEX_ALL else: return self.schematic_page.net_regex.match(str(pin.net.name)) def add_parts(self, indent_depth=""): # Every real part might yield multiple smaller parts (eg: airwires, gnd/vcc connections) part = self.part self.schematic_page.parts_to_draw.remove(part) connections = {} port_directions = {} parts_to_bring_on_page = [] pin_count = len(part.pins) for i, pin in enumerate(part.pins): name = "%s (%s)" % (pin.name, ", ".join(pin.numbers)) if self.skin_pin_names: # if possible we need to match pin names with the skin file in netlistsvg name = self.skin_pin_names[i] DIRECTIONS = ["output", "input"] # aka right, left port_directions[name] = DIRECTIONS[i < pin_count/2] # TODO: Make this depend on pin type, instead of such a rough heuristic if "OUT" in pin.name: port_directions[name] = "output" if "IN" in pin.name: port_directions[name] = "input" if "EN" in pin.name: port_directions[name] = "input" is_connector = part.refdes.startswith("J") or part.refdes.startswith("CN") if is_connector: try: pin_number = int(pin.number) except ValueError: pass else: port_directions[name] = DIRECTIONS[pin_number % 2] pin_net = pin._net if pin_net: if hasattr(pin_net, "parent"): pin_net = pin_net.parent pin_net_helper = self.schematic_page.net_helpers[pin_net] net_node_number = pin_net_helper.get_node_number(pin) connections[name] = [net_node_number] for other_pin in pin_net_helper.get_other_pins_in_group(pin): other_part = other_pin.part parts_to_bring_on_page.append(other_part) else: # Make up a new disposable connection connections[name] = [SVGNet.get_next_node_number()] skip_drawing_pin = not self.should_draw_pin(pin) if self.is_skinned or part.refdes.startswith("Q"): # if any other pins good on a small part, we should draw the whole part (all pins) for other_pin in set(part.pins) - set((pin,)): if self.should_draw_pin(other_pin): skip_drawing_pin = False if pin in self.schematic_page.pins_to_skip: skip_drawing_pin = True if skip_drawing_pin: del connections[name] continue self.schematic_page.pins_drawn.append(pin) self.schematic_page.pin_count += 1 if pin_net: display_net_name = pin.net.has_name if pin.net.is_gnd or pin.net.is_power: self.attach_power_symbol(pin.net, net_node_number) display_net_name = False self.attach_net_name(pin.net, net_node_number, display=display_net_name) if not connections: return if self.is_rotatable: suffix = "h" swap_pins = False for i, pin in enumerate(part.pins): if pin.net.is_power: suffix = "v" if i != 0: swap_pins = True if pin.net.is_gnd: suffix = "v" if i != 1: swap_pins = True #TODO maybe keep it horizontal if both sides .is_power if swap_pins and self.is_symmetric: mapping = {"A": "B", "B": "A"} connections = {mapping[name]:v for name, v in connections.items()} if self.is_rotatable: self.svg_type += suffix self.schematic_page.cells_dict[self.part.refdes] = { "connections": connections, "port_directions": port_directions, "attributes": {"value": part.value}, "type": self.svg_type } print(indent_depth + str(part)) # Make sure the other related parts are squeezed on this page for other_part in parts_to_bring_on_page: if other_part not in self.schematic_page.parts_to_draw: # we already drew it earlier continue self.schematic_page.part_helpers[other_part].add_parts(indent_depth + " ") class SVGPage(object): """Represents single .svg page""" def __init__(self, net_regex=NET_REGEX_ALL, airwires=2, pins_to_skip=[], max_pin_count=None, context=global_context): self.net_regex = re.compile(net_regex) self.airwires = airwires self.context = context self.max_pin_count = max_pin_count self.pin_count = 0 self.pins_to_skip = pins_to_skip self.pins_drawn = [] self.cells_dict = {} self.netnames_dict = collections.defaultdict(lambda: {"bits": [], "hide_name": 1}) self.ports_dict = {} # start helper classes self.net_helpers = {} for net in self.context.net_list: self.net_helpers[net] = SVGNet(net, self) self.part_helpers = {} for part in self.context.parts_list: self.part_helpers[part] = SVGPart(part, self) class PageEmpty(Exception): pass def write_json(self, fp): """Generate the json input required for netlistsvg and dumps it to a file.""" self.parts_to_draw = collections.deque(self.context.parts_list) while self.parts_to_draw: if self.max_pin_count and self.pin_count > self.max_pin_count: # stop drawing, this page is too cluttered break part = self.parts_to_draw[0] self.part_helpers[part].add_parts() if not self.pins_drawn: raise self.PageEmpty big_dict = {"modules": {"SVG Output": { "cells": self.cells_dict, "netnames": self.netnames_dict, "ports": self.ports_dict, }}} json.dump(big_dict, fp, indent=4) fp.flush() def generate(self): """Calls netlistsvg to generate the page and returns the svg contents as a string.""" with tempfile.NamedTemporaryFile("w", prefix="netlistsvg_input_", suffix=".json", delete=False) as json_file, \ tempfile.NamedTemporaryFile("r", prefix="netlistsvg_output_", suffix=".svg", delete=False) as netlistsvg_output: self.write_json(json_file) netlistsvg_command = [ "/usr/bin/env", "node", os.path.join(NETLISTSVG_LOCATION, "bin", "netlistsvg.js"), "--skin", os.path.join(NETLISTSVG_LOCATION, "lib", "analog.svg"), json_file.name, "-o", netlistsvg_output.name ] print(netlistsvg_command) subprocess.call(netlistsvg_command) svg_contents = netlistsvg_output.read() # When a net appears in a few places (when we have airwires), we need to disambiguage the parts of the net # so netlistsvg doesn't think they're actually the same net and should connect them together. # Remove the extra decoration: svg_contents = re.sub("_node\d+", "", svg_contents) return svg_contents def generate_svg(args, *kwargs): pins_to_skip = [] while True: n = SVGPage(args, **kwargs, pins_to_skip=pins_to_skip) try: svg_contents = n.generate() except SVGPage.PageEmpty: break pins_to_skip += n.pins_drawn yield svg_contents	[ 1, 396, 14187, 1266, 29871, 29906, 29900, 29896, 29929, 5087, 365, 12182, 13, 29937, 13, 29937, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 293, 1947, 1496, 13, 29937, 366, 1122, 451, 671, 445, 934, 5174, 297, 752, 13036, 411, 278, 19245, 29889, 13, 29937, 887, 1122, 4017, 263, 3509, 310, 278, 19245, 472, 13, 29937, 13, 29937, 268, 2045, 597, 1636, 29889, 4288, 29889, 990, 29914, 506, 11259, 29914, 27888, 1430, 1660, 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urls.py	markbate/whiskerboard	20	29760	from django.conf.urls.defaults import patterns, include, url from django.contrib import admin from board.feeds import EventFeed from board.views import IndexView, ServiceView admin.autodiscover() urlpatterns = patterns('', url(r'^$', IndexView.as_view(), name='index'), url(r'^services/(?P<slug>[-\w]+)$', ServiceView.as_view(), name='service'), url(r'^feed$', EventFeed(), name='feed'), url(r'^admin/', include(admin.site.urls)), )	[ 1, 515, 9557, 29889, 5527, 29889, 26045, 29889, 4381, 29879, 1053, 15038, 29892, 3160, 29892, 3142, 13, 3166, 9557, 29889, 21570, 1053, 4113, 13, 3166, 7613, 29889, 1725, 5779, 1053, 6864, 29737, 13, 3166, 7613, 29889, 7406, 1053, 11374, 1043, 29892, 6692, 1043, 13, 13, 6406, 29889, 1300, 397, 10669, 957, 580, 13, 13, 2271, 11037, 29879, 353, 15038, 877, 742, 13, 1678, 3142, 29898, 29878, 29915, 29985, 29938, 742, 11374, 1043, 29889, 294, 29918, 1493, 3285, 1024, 2433, 2248, 5477, 13, 1678, 3142, 29898, 29878, 29915, 29985, 9916, 29914, 10780, 29925, 29966, 29517, 24566, 2612, 29893, 10062, 1262, 742, 6692, 1043, 29889, 294, 29918, 1493, 3285, 1024, 2433, 5509, 5477, 13, 1678, 3142, 29898, 29878, 29915, 29985, 18798, 29938, 742, 6864, 29737, 3285, 1024, 2433, 18798, 5477, 13, 13, 1678, 3142, 29898, 29878, 29915, 29985, 6406, 29914, 742, 3160, 29898, 6406, 29889, 2746, 29889, 26045, 8243, 13, 29897, 13, 2 ]
sdk/attestation/azure-security-attestation/azure/security/attestation/_administration_client.py	lynshi/azure-sdk-for-python	0	171400	# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------- from typing import List, Any, Optional, TYPE_CHECKING from azure.core import PipelineClient from msrest import Deserializer, Serializer from six import python_2_unicode_compatible if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any from azure.core.credentials import TokenCredential from azure.core.pipeline.transport import HttpRequest, HttpResponse from ._generated import AzureAttestationRestClient from ._generated.models import AttestationType, PolicyResult, PolicyCertificatesResult, JSONWebKey, AttestationCertificateManagementBody, PolicyCertificatesModificationResult as GeneratedPolicyCertificatesModificationResult from ._configuration import AttestationClientConfiguration from ._models import AttestationSigner, AttestationToken, AttestationResponse, StoredAttestationPolicy, AttestationSigningKey, PolicyCertificatesModificationResult from ._common import Base64Url import cryptography import cryptography.x509 import base64 from azure.core.tracing.decorator import distributed_trace from threading import Lock, Thread class AttestationAdministrationClient(object): """Provides administrative APIs for managing an instance of the Attestation Service. :param str instance_url: base url of the service :param credential: Credentials for the caller used to interact with the service. :type credential: azure.core.credentials.TokenCredential :keyword Pipeline pipeline: If omitted, the standard pipeline is used. :keyword HttpTransport transport: If omitted, the standard pipeline is used. :keyword list[HTTPPolicy] policies: If omitted, the standard pipeline is used. """ def __init__( self, credential, # type: "TokenCredential" instance_url, # type: str kwargs # type: Any ): # type: (...) -> None if not credential: raise ValueError("Missing credential.") self._config = AttestationClientConfiguration(credential, instance_url, kwargs) self._client = AzureAttestationRestClient(credential, instance_url, kwargs) self._statelock = Lock() self._signing_certificates = None @distributed_trace def get_policy(self, attestation_type, kwargs): #type(AttestationType, Any) -> AttestationResult[str]: """ Retrieves the attestation policy for a specified attestation type. :param azure.security.attestation.AttestationType attestation_type: :class:`azure.security.attestation.AttestationType` for which to retrieve the policy. :return AttestationResponse[str]: Attestation service response encapsulating a string attestation policy. """ policyResult = self._client.policy.get(attestation_type, kwargs) token = AttestationToken[PolicyResult](token=policyResult.token, body_type=PolicyResult) token_body = token.get_body() stored_policy = AttestationToken[StoredAttestationPolicy](token=token_body.policy, body_type=StoredAttestationPolicy) actual_policy = stored_policy.get_body().attestation_policy #type: bytes if self._config.token_validation_options.validate_token: token.validate_token(self._config.token_validation_options, self._get_signers(kwargs)) return AttestationResponse[str](token, actual_policy.decode('utf-8')) @distributed_trace def set_policy(self, attestation_type, attestation_policy, signing_key=None, kwargs): #type:(AttestationType, str, Optional[AttestationSigningKey], *Any) -> AttestationResponse[PolicyResult] """ Sets the attestation policy for the specified attestation type. :param azure.security.attestation.AttestationType attestation_type: :class:`azure.security.attestation.AttestationType` for which to set the policy. :param str attestation_policy: Attestation policy to be set. :param Optional[AttestationSigningKey] signing_key: Optional signing key to be used to sign the policy before sending it to the service. :return AttestationResponse[PolicyResult]: Attestation service response encapsulating a :class:`PolicyResult`. .. note:: If the attestation instance is in Isolated* mode, then the `signing_key` parameter MUST be a signing key containing one of the certificates returned by :meth:`get_policy_management_certificates`. If the attestation instance is in AAD mode, then the `signing_key` parameter does not need to be provided. """ policy_token = AttestationToken[StoredAttestationPolicy]( body=StoredAttestationPolicy(attestation_policy = attestation_policy.encode('ascii')), signer=signing_key, body_type=StoredAttestationPolicy) policyResult = self._client.policy.set(attestation_type=attestation_type, new_attestation_policy=policy_token.serialize(), kwargs) token = AttestationToken[PolicyResult](token=policyResult.token, body_type=PolicyResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(kwargs)): raise Exception("Token Validation of PolicySet API failed.") return AttestationResponse[PolicyResult](token, token.get_body()) @distributed_trace def get_policy_management_certificates(self, kwargs): #type:(Any) -> AttestationResponse[list[list[bytes]]] """ Retrieves the set of policy management certificates for the instance. The list of policy management certificates will only be non-empty if the attestation service instance is in Isolated mode. :return AttestationResponse[list[list[bytes]]: Attestation service response encapsulating a list of DER encoded X.509 certificate chains. """ cert_response = self._client.policy_certificates.get(kwargs) token = AttestationToken[PolicyCertificatesResult]( token=cert_response.token, body_type=PolicyCertificatesResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(kwargs)): raise Exception("Token Validation of PolicyCertificates API failed.") certificates = [] cert_list = token.get_body() for key in cert_list.policy_certificates.keys: key_certs = [base64.b64decode(cert) for cert in key.x5_c] certificates.append(key_certs) return AttestationResponse(token, certificates) @distributed_trace def add_policy_management_certificate(self, certificate_to_add, signing_key, kwargs): #type:(bytes, AttestationSigningKey, Any)-> AttestationResponse[PolicyCertificatesModificationResult] """ Adds a new policy management certificate to the set of policy management certificates for the instance. :param bytes certificate_to_add: DER encoded X.509 certificate to add to the list of attestation policy management certificates. :param AttestationSigningKey signing_key: Signing Key representing one of the existing attestation signing certificates. :return AttestationResponse[PolicyCertificatesModificationResult]: Attestation service response encapsulating the status of the add request. The :class:`PolicyCertificatesModificationResult` response to the :meth:`add_policy_management_certificate` API contains two attributes of interest. The first is `certificate_resolution`, which indicates whether the certificate in question is present in the set of policy management certificates after the operation has completed, or if it is absent. The second is the `thumbprint` of the certificate added. The `thumbprint` for the certificate is the SHA1 hash of the DER encoding of the certificate. """ key=JSONWebKey(kty='RSA', x5_c = [ base64.b64encode(certificate_to_add).decode('ascii')]) add_body = AttestationCertificateManagementBody(policy_certificate=key) cert_add_token = AttestationToken[AttestationCertificateManagementBody]( body=add_body, signer=signing_key, body_type=AttestationCertificateManagementBody) cert_response = self._client.policy_certificates.add(cert_add_token.serialize(), kwargs) token = AttestationToken[GeneratedPolicyCertificatesModificationResult](token=cert_response.token, body_type=GeneratedPolicyCertificatesModificationResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(kwargs)): raise Exception("Token Validation of PolicyCertificate Add API failed.") return AttestationResponse[PolicyCertificatesModificationResult](token, PolicyCertificatesModificationResult._from_generated(token.get_body())) @distributed_trace def remove_policy_management_certificate(self, certificate_to_add, signing_key, kwargs): #type:(bytes, AttestationSigningKey, Any)-> AttestationResponse[PolicyCertificatesModificationResult] """ Removes a new policy management certificate to the set of policy management certificates for the instance. :param bytes certificate_to_add: DER encoded X.509 certificate to add to the list of attestation policy management certificates. :param AttestationSigningKey signing_key: Signing Key representing one of the existing attestation signing certificates. :return AttestationResponse[PolicyCertificatesModificationResult]: Attestation service response encapsulating a list of DER encoded X.509 certificate chains. The :class:`PolicyCertificatesModificationResult` response to the :meth:`remove_policy_management_certificate` API contains two attributes of interest. The first is `certificate_resolution`, which indicates whether the certificate in question is present in the set of policy management certificates after the operation has completed, or if it is absent. The second is the `thumbprint` of the certificate added. The `thumbprint` for the certificate is the SHA1 hash of the DER encoding of the certificate. """ key=JSONWebKey(kty='RSA', x5_c = [ base64.b64encode(certificate_to_add).decode('ascii')]) add_body = AttestationCertificateManagementBody(policy_certificate=key) cert_add_token = AttestationToken[AttestationCertificateManagementBody]( body=add_body, signer=signing_key, body_type=AttestationCertificateManagementBody) cert_response = self._client.policy_certificates.remove(cert_add_token.serialize(), kwargs) token = AttestationToken[GeneratedPolicyCertificatesModificationResult](token=cert_response.token, body_type=GeneratedPolicyCertificatesModificationResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(kwargs)): raise Exception("Token Validation of PolicyCertificate Remove API failed.") return AttestationResponse[PolicyCertificatesModificationResult](token, PolicyCertificatesModificationResult._from_generated(token.get_body())) def _get_signers(self, kwargs): #type(Any) -> List[AttestationSigner] """ Returns the set of signing certificates used to sign attestation tokens. """ with self._statelock: if (self._signing_certificates == None): signing_certificates = self._client.signing_certificates.get(*kwargs) self._signing_certificates = [] for key in signing_certificates.keys: # Convert the returned certificate chain into an array of X.509 Certificates. certificates = [] for x5c in key.x5_c: der_cert = base64.b64decode(x5c) certificates.append(der_cert) self._signing_certificates.append(AttestationSigner(certificates, key.kid)) signers = self._signing_certificates return signers def close(self): # type: () -> None self._client.close() def __enter__(self): # type: () -> AttestationAdministrationClient self._client.__enter__() return self def __exit__(self, exc_details): # type: (Any) -> None self._client.__exit__(*exc_details)	[ 1, 396, 14137, 29922, 9420, 29899, 29947, 13, 29937, 448, 2683, 2683, 2683, 2683, 1378, 29899, 13, 29937, 14187, 1266, 313, 29883, 29897, 7783, 15025, 29889, 2178, 10462, 21676, 29889, 13, 29937, 10413, 21144, 1090, 278, 341, 1806, 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newsCrawl/fakeNews/index/views.py	ARIF-KHAN-420/Fake_News	1	150079	<reponame>ARIF-KHAN-420/Fake_News from django.shortcuts import render # Create your views here. def index(request): data = {'d' : "Copy a NEWS and paste it."} return render(request,'index.html',data)	[ 1, 529, 276, 1112, 420, 29958, 1718, 6545, 29899, 29968, 29950, 2190, 29899, 29946, 29906, 29900, 29914, 29943, 1296, 29918, 29328, 13, 3166, 9557, 29889, 12759, 7582, 29879, 1053, 4050, 13, 13, 29937, 6204, 596, 8386, 1244, 29889, 13, 1753, 2380, 29898, 3827, 1125, 13, 1678, 848, 353, 11117, 29881, 29915, 584, 376, 11882, 263, 14693, 7811, 322, 11417, 372, 1213, 29913, 13, 1678, 736, 4050, 29898, 3827, 5501, 2248, 29889, 1420, 742, 1272, 29897, 2 ]
get_phish_code.py	xschur/scripts	0	152386	<reponame>xschur/scripts #!/usr/bin/env python # -- coding: utf-8 -- # Author:schur ''' Get phish_url in phishtank,and brute to get source code ''' import aiohttp import asyncio import urllib.parse success_dir = [] success_file = [] headers = { 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36', } def split_and_combine(url): dir_list = [] file_list = [] remote_file = [] ext_list = [".zip",".tar.gz",".rar",".txt",".7z",".bak",".gz",".tgz",".bz2"] url = url.split("/") main_url = url[0]+"//"+url[2]+'/' dir = url[3:] for i in dir: main_url = main_url+i+'/' dir_list.append(main_url) if len(dir_list)>=1: del dir_list[-1] for i in dir: for j in ext_list: file = i+j file_list.append(file) for i in dir_list: for j in file_list: remote_file.append(i+j) return dir_list,remote_file async def judge(url): global success_dir global success_file print('[+]handing :'+url.strip()) dir_list,remote_file = split_and_combine(url.strip()) async with aiohttp.ClientSession() as sess: for i in remote_file: try: #print("file:"+i) async with sess.get(i,headers=headers,timeout=3) as res: if res.status == 200: success_file.append(i+'\n') except Exception as e: print(str(e)) for i in dir_list: try: #print('dir'+i) async with sess.get(i,headers=headers,timeout=3) as res: html = await res.text() if "Index" in html: success_dir.append(i+'\n') except Exception as e: print(str(e)) def main(): with open('2.csv','r') as f: data = f.readlines() loop = asyncio.get_event_loop() tasks = [judge(url) for url in data] results = loop.run_until_complete(asyncio.wait(tasks)) with open("result.txt",'a') as f: f.writelines(success_dir) f.writelines(success_file) if __name__ == "__main__": main()	[ 1, 529, 276, 1112, 420, 29958, 29916, 816, 332, 29914, 16713, 13, 29937, 14708, 4855, 29914, 2109, 29914, 6272, 3017, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 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src/utils/helpers.py	cengc13/2040FinalProject	1	1617786	<filename>src/utils/helpers.py """Helper functions for code sanity""" import numpy as np from tensorflow.keras.callbacks import Callback from sklearn.metrics import accuracy_score, roc_auc_score import re from tqdm.notebook import tqdm from sklearn import metrics def regular_encode(texts, tokenizer, maxlen=512): """ This function is from the kernel: https://www.kaggle.com/xhlulu/jigsaw-tpu-xlm-roberta """ enc_di = tokenizer.batch_encode_plus( texts, return_attention_masks=False, return_token_type_ids=False, pad_to_max_length=True, max_length=maxlen ) return np.array(enc_di['input_ids']) def fast_encode(texts, tokenizer, chunk_size=256, maxlen=512): """ https://www.kaggle.com/xhlulu/jigsaw-tpu-distilbert-with-huggingface-and-keras """ tokenizer.enable_truncation(max_length=maxlen) tokenizer.enable_padding(max_length=maxlen) all_ids = [] for i in tqdm(range(0, len(texts), chunk_size)): text_chunk = texts[i:i+chunk_size].tolist() encs = tokenizer.encode_batch(text_chunk) all_ids.extend([enc.ids for enc in encs]) return np.array(all_ids) # def build_model(transformer, max_len=512): # """ # https://www.kaggle.com/xhlulu/jigsaw-tpu-distilbert-with-huggingface-and-keras # """ # input_word_ids = Input(shape=(max_len,), dtype=tf.int32, name="input_word_ids") # sequence_output = transformer(input_word_ids)[0] # cls_token = sequence_output[:, 0, :] # out = Dense(1, activation='sigmoid')(cls_token) # model = Model(inputs=input_word_ids, outputs=out) # model.compile(Adam(lr=1e-5), loss='binary_crossentropy', metrics=['accuracy']) # return model def roc_auc(predictions,target): """ ROC-AUC value for binary classification. From: https://www.kaggle.com/tanulsingh077/ """ fpr, tpr, thresholds = metrics.roc_curve(target, predictions) roc_auc = metrics.auc(fpr, tpr) return roc_auc class RocAucEvaluation(Callback): ''' https://www.kaggle.com/tarunpaparaju/jigsaw-multilingual-toxicity-eda-models/output#Modeling- ''' def __init__(self, validation_data=(), interval=1): super(Callback, self).__init__() self.interval = interval self.X_val, self.y_val = validation_data def on_epoch_end(self, epoch, logs={}): if epoch % self.interval == 0: y_pred = self.model.predict(self.X_val, verbose=0) score = roc_auc_score(self.y_val, y_pred) print("\n ROC-AUC - epoch: {:d} - score: {:.6f}".format(epoch+1, score)) def build_lrfn(lr_start=0.000001, lr_max=0.000016, lr_min=0.0000001, lr_rampup_epochs=7, lr_sustain_epochs=0, lr_exp_decay=.87): def lrfn(epoch): if epoch < lr_rampup_epochs: lr = (lr_max - lr_start) / lr_rampup_epochs * epoch + lr_start elif epoch < lr_rampup_epochs + lr_sustain_epochs: lr = lr_max else: lr = (lr_max - lr_min) * lr_exp_decay*(epoch - lr_rampup_epochs - lr_sustain_epochs) + lr_min return lr return lrfn ##### Text cleaning from nltk import sent_tokenize LANGS = { 'en': 'english', 'it': 'italian', 'fr': 'french', 'es': 'spanish', 'tr': 'turkish', 'ru': 'russian', 'pt': 'portuguese' } def get_sentences(text, lang='en'): return sent_tokenize(text, LANGS.get(lang, 'english')) def exclude_duplicate_sentences(text, lang='en'): sentences = [] for sentence in get_sentences(text, lang): sentence = sentence.strip() if sentence not in sentences: sentences.append(sentence) return ' '.join(sentences) def clean(text): text = text.lower() # text = exclude_duplicate_sentences(text, lang='en') text = re.sub('\\n',' ', text) text = re.sub("\[\[User.",'',text) text = re.sub("\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}",'',text) text = re.sub("\(http://.?\s\(http://.\)",'',text) return text # https://www.kaggle.com/chenshengabc/from-quest-encoding-ensemble-a-little-bit-differen puncts = [')', '(', '-', '\|', '$', '&', '/', '[', ']', '>', '%', '=', '#', '', '+', '\\', '•', '~', '@', '£', '·', '_', '{', '}', '©', '^', '®', '`', '<', '→', '°', '€', '™', '›', '♥', '←', '×', '§', '″', '′', 'Â', '█', '½', 'à', '…', '\xa0', '\t', '“', '★', '”', '–', '●', 'â', '►', '−', '¢', '²', '¬', '░', '¶', '↑', '±', '¿', '▾', '═', '¦', '║', '―', '¥', '▓', '—', '‹', '─', '\u3000', '\u202f', '▒', '：', '¼', '⊕', '▼', '▪', '†', '■', '’', '▀', '¨', '▄', '♫', '☆', 'é', '¯', '♦', '¤', '▲', 'è', '¸', '¾', 'Ã', '⋅', '‘', '∞', '«', '∙', '）', '↓', '、', '│', '（', '»', '，', '♪', '╩', '╚', '³', '・', '╦', '╣', '╔', '╗', '▬', '❤', 'ï', 'Ø', '¹', '≤', '‡', '√', ] special_puncts = [',', '.', '"', ':', '!', '?', ';', "'",] mispell_dict = {"aren't" : "are not", "can't" : "cannot", "couldn't" : "could not", "couldnt" : "could not", "didn't" : "did not", "doesn't" : "does not", "doesnt" : "does not", "don't" : "do not", "hadn't" : "had not", "hasn't" : "has not", "haven't" : "have not", "havent" : "have not", "he'd" : "he would", "he'll" : "he will", "he's" : "he is", "i'd" : "I would", "i'd" : "I had", "i'll" : "I will", "i'm" : "I am", "isn't" : "is not", "it's" : "it is", "it'll":"it will", "i've" : "I have", "let's" : "let us", "mightn't" : "might not", "mustn't" : "must not", "shan't" : "shall not", "she'd" : "she would", "she'll" : "she will", "she's" : "she is", "shouldn't" : "should not", "shouldnt" : "should not", "that's" : "that is", "thats" : "that is", "there's" : "there is", "theres" : "there is", "they'd" : "they would", "they'll" : "they will", "they're" : "they are", "theyre": "they are", "they've" : "they have", "we'd" : "we would", "we're" : "we are", "weren't" : "were not", "we've" : "we have", "what'll" : "what will", "what're" : "what are", "what's" : "what is", "what've" : "what have", "where's" : "where is", "who'd" : "who would", "who'll" : "who will", "who're" : "who are", "who's" : "who is", "who've" : "who have", "won't" : "will not", "wouldn't" : "would not", "you'd" : "you would", "you'll" : "you will", "you're" : "you are", "you've" : "you have", "'re": " are", "wasn't": "was not", "we'll":" will", "didn't": "did not", "tryin'":"trying"} def clean_text(x): x = str(x).replace("\n"," ") for punct in puncts: x = x.replace(punct, ' ') return x ### clean text from the kernel: ### https://www.kaggle.com/mobassir/understanding-cross-lingual-models#Part-2-:-Implementation-using-TPU-Multiprocessing from nltk.tokenize.treebank import TreebankWordTokenizer def _get_mispell(mispell_dict): mispell_re = re.compile('(%s)' % '\|'.join(mispell_dict.keys())) return mispell_dict, mispell_re def replace_typical_misspell(text): mispellings, mispellings_re = _get_mispell(mispell_dict) def replace(match): return mispellings[match.group(0)] return mispellings_re.sub(replace, text) def clean_data(df, columns: list): for col in columns: df[col] = df[col].apply(lambda x: clean(x)) df[col] = df[col].apply(lambda x: clean_text(x)) df[col] = df[col].apply(lambda x: replace_typical_misspell(x)) return df def plot_loss(his, epoch, title): plt.style.use('ggplot') plt.figure() plt.plot(np.arange(0, epoch), his.history['loss'], label='train_loss') plt.plot(np.arange(0, epoch), his.history['val_loss'], label='val_loss') plt.title(title) plt.xlabel('Epoch #') plt.ylabel('Loss') plt.legend(loc='upper right') plt.show() def plot_auc(his, epoch, title): plt.style.use('ggplot') plt.figure() plt.plot(np.arange(0, epoch), his.history['auc'], label='train_auc') plt.plot(np.arange(0, epoch), his.history['val_auc'], label='val_auc') plt.title(title) plt.xlabel('Epoch #') plt.ylabel('Loss') plt.legend(loc='upper right') plt.show() ### From https://www.kaggle.com/cengc13/jigsaw-tpu-bert-two-stage-training/edit class TextTransformation: def __call__(self, text: str, lang: str = None) -> tuple: raise NotImplementedError('Abstarct') class LowerCaseTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: return text.lower(), lang class URLTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for url in self.find_urls(text): if url in text: text.replace(url, ' external link ') return text.lower(), lang @staticmethod def find_urls(string): # https://www.geeksforgeeks.org/python-check-url-string/ urls = re.findall('http[s]?://(?:[a-zA-Z]\|[0-9]\|[$-_@.&+]\|[!\(\), ]\|(?:%[0-9a-fA-F][0-9a-fA-F]))+', string) return urls class PunctuationTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for p in '?!.,"#$%\'()*+-/:;<=>@[\\]^_`{\|}~' + '“”’' +"/-'" + "&" + "¡¿": if '’' in text: text = text.replace('’', f' \' ') if '’' in text: text = text.replace('’', f' \' ') if '—' in text: text = text.replace('—', f' - ') if '−' in text: text = text.replace('−', f' - ') if '–' in text: text = text.replace('–', f' - ') if '“' in text: text = text.replace('“', f' " ') if '«' in text: text = text.replace('«', f' " ') if '»' in text: text = text.replace('»', f' " ') if '”' in text: text = text.replace('”', f' " ') if '`' in text: text = text.replace('`', f' \' ') text = text.replace(p, f' {p} ') return text.strip(), lang class NumericTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for i in range(10): text = text.replace(str(i), f' {str(i)} ') return text, lang class WikiTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('wikiproject', ' wiki project ') for i in [' vikipedi ', ' wiki ', ' википедии ', " вики ", ' википедия ', ' viki ', ' wikipedien ', ' википедию ']: text = text.replace(i, ' wikipedia ') return text, lang class MessageTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('wikiproject', ' wiki project ') for i in [' msg ', ' msj ', ' mesaj ']: text = text.replace(i, ' message ') return text, lang class PixelTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for i in [' px ']: text = text.replace(i, ' pixel ') return text, lang class SaleBotTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('salebot', ' sale bot ') return text, lang class RuTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: if lang is not None and lang == 'ru' and 'http' not in text and 'jpg' not in text and 'wikipedia' not in text: text = text.replace('t', 'т') text = text.replace('h', 'н') text = text.replace('b', 'в') text = text.replace('c', 'c') text = text.replace('k', 'к') text = text.replace('e', 'е') text = text.replace('a', 'а') return text, lang class CombineTransformation(TextTransformation): def __init__(self, transformations: list, return_lang: bool = False): self._transformations = transformations self._return_lang = return_lang def __call__(self, text: 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mailadmin.py	FabianWe/pymailadmin	0	160455	<gh_stars>0 # Copyright (c) 2016, 2017 <NAME> # MIT License # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import crypt import MySQLdb import string import random import configparser import sys import re pw_chars = string.ascii_letters + string.digits def parse_settings(path='.config'): config = configparser.ConfigParser() config.read(path) mysql = config['mysql'] user = mysql.get('user') if user is None: print('"user" not set in config file. Error.') sys.exit(1) password = mysql.get('password') if password is None: print('"password" not set in config file. Error') sys.exit(1) host = mysql.get('host', '127.0.1.1') port = mysql.getint('port', 3306) db = mysql.get('db', 'mailserver') return {'host': host, 'port': port, 'db': db, 'user': user, 'password': password} def gen_pw(pw_len=12): return "".join(random.choice(pw_chars) for _ in range(pw_len)) def open_db(host, user, passwd, port=3306, db='mailserver'): return MySQLdb.connect(host=host, user=user, passwd=passwd, db=db, port=port) def open_from_settings(path='.config'): settings = parse_settings(path) return open_db(host=settings['host'], user=settings['user'], passwd=settings['password'], port=settings['port'], db=settings['db']) def gen_hash(pw): return '{SHA512-CRYPT}' + crypt.crypt(pw, crypt.mksalt(crypt.METHOD_SHA512)) def init_db(db): cur = db.cursor() cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_domains ( id INT NOT NULL AUTO_INCREMENT, name VARCHAR(50) NOT NULL, PRIMARY KEY(id), UNIQUE KEY name (name) ) ''' ) cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_users ( id INT NOT NULL AUTO_INCREMENT, domain_id INT NOT NULL, email VARCHAR(100), password varchar(150) NOT NULL, PRIMARY KEY(id), UNIQUE KEY email (email), FOREIGN KEY (domain_id) REFERENCES virtual_domains(id) ON DELETE CASCADE ) ''' ) cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_aliases ( id INT NOT NULL AUTO_INCREMENT, domain_id INT NOT NULL, source VARCHAR(100) NOT NULL, destination VARCHAR(100) NOT NULL, PRIMARY KEY (id), FOREIGN KEY (domain_id) REFERENCES virtual_domains(id) ON DELETE CASCADE ) ''' ) cur.close() db.commit() def add_domain(db, name): cur = db.cursor() cmd = ''' INSERT INTO virtual_domains (name) VALUES (%s) ''' cur.execute(cmd, (name,)) cur.close() db.commit() def add_user(db, mail, pw_hash): cur = db.cursor() split = mail.split('@') if len(split) != 2: print('Email does not contain exactly one @. Error.') sys.exit(1) domain = split[1] get_domain = ''' SELECT id FROM virtual_domains WHERE name = %s ''' cur.execute(get_domain, (domain,)) entries = list(cur) if not entries: print('Domain "%s" was not found. Error.' % domain) sys.exit(1) # everything ok, we got the id, so now add domain_id = entries[0][0] cmd = ''' INSERT INTO virtual_users (domain_id, email, password) VALUES (%s, %s, %s) ''' cur.execute(cmd, (domain_id, mail, pw_hash)) cur.close() db.commit() def add_alias(db, source, dest): cur = db.cursor() split = source.split('@') if len(split) != 2: print('Email does not contain exactly one @. Error') sys.exit(1) domain = split[1] get_domain = ''' SELECT id FROM virtual_domains WHERE name = %s ''' cur.execute(get_domain, (domain,)) entries = list(cur) if not entries: print('Domain "%s" was not found. Error.' % domain) sys.exit(1) domain_id = entries[0][0] cmd = ''' INSERT INTO virtual_aliases (domain_id, source, destination) VALUES (%s, %s, %s) ''' cur.execute(cmd, (domain_id, source, dest)) cur.close() db.commit() mail_regex = re.compile(r"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$)") def valid_email(mail): return mail_regex.match(mail) is not None	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29953, 29892, 29871, 29906, 29900, 29896, 29955, 529, 5813, 29958, 13, 13, 29937, 341, 1806, 19245, 13, 29937, 20894, 2333, 338, 1244, 1609, 16896, 29892, 3889, 310, 8323, 29892, 304, 738, 2022, 4017, 292, 263, 3509, 13, 29937, 310, 445, 7047, 322, 6942, 5106, 2066, 313, 1552, 376, 6295, 14093, 4968, 304, 5376, 13, 29937, 297, 278, 18540, 1728, 24345, 29892, 3704, 1728, 29485, 278, 10462, 13, 29937, 304, 671, 29892, 3509, 29892, 6623, 29892, 10366, 29892, 9805, 29892, 1320, 2666, 29892, 269, 803, 1947, 29892, 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6901, 29918, 7193, 13, 1678, 313, 7247, 29918, 333, 29892, 4876, 29892, 4800, 29897, 13, 1678, 15673, 313, 29995, 29879, 29892, 1273, 29879, 29892, 1273, 29879, 29897, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 9006, 29892, 313, 7247, 29918, 333, 29892, 10524, 29892, 282, 29893, 29918, 8568, 876, 13, 1678, 3151, 29889, 5358, 580, 13, 1678, 4833, 29889, 15060, 580, 13, 13, 1753, 788, 29918, 19973, 29898, 2585, 29892, 2752, 29892, 2731, 1125, 13, 1678, 3151, 353, 4833, 29889, 18127, 580, 13, 1678, 6219, 353, 2752, 29889, 5451, 877, 29992, 1495, 13, 1678, 565, 7431, 29898, 5451, 29897, 2804, 29871, 29906, 29901, 13, 4706, 1596, 877, 9823, 947, 451, 1712, 3721, 697, 732, 29889, 4829, 1495, 13, 4706, 10876, 29889, 13322, 29898, 29896, 29897, 13, 1678, 5354, 353, 6219, 29961, 29896, 29962, 13, 1678, 679, 29918, 7247, 353, 14550, 13, 1678, 5097, 1178, 3895, 6901, 29918, 3129, 2708, 5754, 1024, 353, 1273, 29879, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 657, 29918, 7247, 29892, 313, 7247, 29892, 876, 13, 1678, 9976, 353, 1051, 29898, 2764, 29897, 13, 1678, 565, 451, 9976, 29901, 13, 4706, 1596, 877, 15951, 11860, 29879, 29908, 471, 451, 1476, 29889, 4829, 6169, 1273, 5354, 29897, 13, 4706, 10876, 29889, 13322, 29898, 29896, 29897, 13, 1678, 5354, 29918, 333, 353, 9976, 29961, 29900, 3816, 29900, 29962, 13, 1678, 9920, 353, 14550, 13, 1678, 14482, 11646, 6901, 29918, 2606, 2129, 13, 1678, 313, 7247, 29918, 333, 29892, 2752, 29892, 12551, 29897, 13, 1678, 15673, 313, 29995, 29879, 29892, 1273, 29879, 29892, 1273, 29879, 29897, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 9006, 29892, 313, 7247, 29918, 333, 29892, 2752, 29892, 2731, 876, 13, 1678, 3151, 29889, 5358, 580, 13, 1678, 4833, 29889, 15060, 580, 13, 13, 13, 2549, 29918, 13087, 353, 337, 29889, 12198, 29898, 29878, 29908, 29898, 29985, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 5396, 29974, 29899, 10062, 29992, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29899, 29962, 3124, 7226, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29899, 5586, 29974, 10931, 1159, 13, 13, 1753, 2854, 29918, 5269, 29898, 2549, 1125, 13, 1678, 736, 10524, 29918, 13087, 29889, 4352, 29898, 2549, 29897, 338, 451, 6213, 13, 2 ]
blisk/run_blisk_py.py	suleymanmuti/CalculiX-Examples	0	113574	#!/usr/bin/python import os os.system("cgx -bg blisk_pre.fbd") os.system("ccx blisk") os.system("cgx -bg blisk_post.fbd")	[ 1, 18787, 4855, 29914, 2109, 29914, 4691, 13, 5215, 2897, 13, 13, 359, 29889, 5205, 703, 29883, 29887, 29916, 448, 16264, 1999, 3873, 29918, 1457, 29889, 29888, 6448, 1159, 13, 359, 29889, 5205, 703, 617, 29916, 1999, 3873, 1159, 13, 359, 29889, 5205, 703, 29883, 29887, 29916, 448, 16264, 1999, 3873, 29918, 2490, 29889, 29888, 6448, 1159, 13, 13, 2 ]
parsl/tests/test_error_handling/test_resource_spec.py	MatthewBM/parsl	0	1417	<gh_stars>0 import parsl from parsl.app.app import python_app from parsl.tests.configs.local_threads import config from parsl.executors.errors import UnsupportedFeatureError from parsl.executors import WorkQueueExecutor @python_app def double(x, parsl_resource_specification={}): return x * 2 def test_resource(n=2): spec = {'cores': 2, 'memory': '1GiB'} fut = double(n, parsl_resource_specification=spec) try: fut.result() except Exception as e: assert isinstance(e, UnsupportedFeatureError) else: executors = parsl.dfk().executors executor = None for label in executors: if label != 'data_manager': executor = executors[label] break assert isinstance(executor, WorkQueueExecutor) if __name__ == '__main__': local_config = config parsl.load(local_config) x = test_resource(2)	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 610, 2536, 13, 3166, 610, 2536, 29889, 932, 29889, 932, 1053, 3017, 29918, 932, 13, 3166, 610, 2536, 29889, 21150, 29889, 2917, 29879, 29889, 2997, 29918, 28993, 1053, 2295, 13, 3166, 610, 2536, 29889, 4258, 29560, 29889, 12523, 1053, 853, 23765, 19132, 2392, 13, 3166, 610, 2536, 29889, 4258, 29560, 1053, 5244, 10620, 13366, 13, 13, 13, 29992, 4691, 29918, 932, 13, 1753, 3765, 29898, 29916, 29892, 610, 2536, 29918, 10314, 29918, 6550, 2450, 3790, 29913, 1125, 13, 1678, 736, 921, 334, 29871, 29906, 13, 13, 13, 1753, 1243, 29918, 10314, 29898, 29876, 29922, 29906, 1125, 13, 1678, 1580, 353, 11117, 29883, 2361, 2396, 29871, 29906, 29892, 525, 14834, 2396, 525, 29896, 26074, 29933, 10827, 13, 1678, 3105, 353, 3765, 29898, 29876, 29892, 610, 2536, 29918, 10314, 29918, 6550, 2450, 29922, 6550, 29897, 13, 1678, 1018, 29901, 13, 4706, 3105, 29889, 2914, 580, 13, 1678, 5174, 8960, 408, 321, 29901, 13, 4706, 4974, 338, 8758, 29898, 29872, 29892, 853, 23765, 19132, 2392, 29897, 13, 1678, 1683, 29901, 13, 4706, 6704, 943, 353, 610, 2536, 29889, 2176, 29895, 2141, 4258, 29560, 13, 4706, 2279, 3406, 353, 6213, 13, 4706, 363, 3858, 297, 6704, 943, 29901, 13, 9651, 565, 3858, 2804, 525, 1272, 29918, 12847, 2396, 13, 18884, 2279, 3406, 353, 6704, 943, 29961, 1643, 29962, 13, 18884, 2867, 13, 4706, 4974, 338, 8758, 29898, 4258, 3406, 29892, 5244, 10620, 13366, 29897, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 1887, 29918, 2917, 353, 2295, 13, 1678, 610, 2536, 29889, 1359, 29898, 2997, 29918, 2917, 29897, 13, 1678, 921, 353, 1243, 29918, 10314, 29898, 29906, 29897, 13, 2 ]
peripheral/supc_u2407/config/supc.py	Unitek-KL/csp	0	168043	# coding: utf-8 """***************************************************************************** * Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries. * * Subject to your compliance with these terms, you may use Microchip software * and any derivatives exclusively with Microchip products. It is your * responsibility to comply with third party license terms applicable to your * use of third party software (including open source software) that may * accompany Microchip software. * * THIS SOFTWARE IS SUPPLIED BY MICROCHIP "AS IS". NO WARRANTIES, WHETHER * EXPRESS, IMPLIED OR STATUTORY, APPLY TO THIS SOFTWARE, INCLUDING ANY IMPLIED * WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A * PARTICULAR PURPOSE. * * IN NO EVENT WILL MICROCHIP BE LIABLE FOR ANY INDIRECT, SPECIAL, PUNITIVE, * INCIDENTAL OR CONSEQUENTIAL LOSS, DAMAGE, COST OR EXPENSE OF ANY KIND * WHATSOEVER RELATED TO THE SOFTWARE, HOWEVER CAUSED, EVEN IF MICROCHIP HAS * BEEN ADVISED OF THE POSSIBILITY OR THE DAMAGES ARE FORESEEABLE. TO THE * FULLEST EXTENT ALLOWED BY LAW, MICROCHIP'S TOTAL LIABILITY ON ALL CLAIMS IN * ANY WAY RELATED TO THIS SOFTWARE WILL NOT EXCEED THE AMOUNT OF FEES, IF ANY, * THAT YOU HAVE PAID DIRECTLY TO MICROCHIP FOR THIS SOFTWARE. ****************************************************************************""" ################################################################################################### ########################################## Callbacks ############################################# ################################################################################################### def updateSupcConfigVisibleProperty(symbol, event): symbol.setVisible(event["value"]) def updateBOD33PrescalerVisibleProperty(symbol, event): if supcSym_BOD33_STDBYCFG.getValue() == 1 or supcSym_BOD33_RUNHIB.getValue() == True or supcSym_BOD33_RUNBKUP.getValue() == True: symbol.setVisible(True) else: symbol.setVisible(False) def updateVrefVisibleProperty(symbol, event): if supcSym_VREF_VREFOE.getValue() == True and supcSym_VREF_ONDEMAND.getValue() == False: symbol.setVisible(False) else: symbol.setVisible(True) def interruptControl(symbol, event): Database.setSymbolValue("core", InterruptVector, event["value"], 2) Database.setSymbolValue("core", InterruptHandlerLock, event["value"], 2) if event["value"] == True: Database.setSymbolValue("core", InterruptHandler, supcInstanceName.getValue() + "_BODDET_InterruptHandler", 2) else: Database.setSymbolValue("core", InterruptHandler, supcInstanceName.getValue() + "_BODDET_Handler", 2) ################################################################################################### ########################################## Component ############################################# ################################################################################################### def instantiateComponent(supcComponent): global supcSym_BOD33_STDBYCFG global supcSym_BOD33_RUNHIB global supcSym_BOD33_RUNBKUP global supcSym_VREF_VREFOE global supcSym_VREF_ONDEMAND global supcInstanceName global InterruptVector global InterruptHandler global InterruptHandlerLock global supcSym_INTENSET supcInstanceName = supcComponent.createStringSymbol("SUPC_INSTANCE_NAME", None) supcInstanceName.setVisible(False) supcInstanceName.setDefaultValue(supcComponent.getID().upper()) #BOD33 Menu supcSym_BOD33_Menu= supcComponent.createMenuSymbol("BOD33_MENU", None) supcSym_BOD33_Menu.setLabel("VDD Brown-Out Detector (BOD33) Configuration") #BOD33 interrupt mode supcSym_INTENSET = supcComponent.createBooleanSymbol("SUPC_INTERRUPT_ENABLE", supcSym_BOD33_Menu) supcSym_INTENSET.setLabel("Enable BOD Interrupt") supcSym_INTENSET.setDefaultValue(False) # Interrupt Warning status supcSym_IntEnComment = supcComponent.createCommentSymbol("SUPC_INTERRUPT_ENABLE_COMMENT", supcSym_BOD33_Menu) supcSym_IntEnComment.setVisible(False) supcSym_IntEnComment.setLabel("Warning!!! SUPC Interrupt is Disabled in Interrupt Manager") supcSym_IntEnComment.setDependencies(interruptControl, ["SUPC_INTERRUPT_ENABLE"]) #BOD33 RUNHIB supcSym_BOD33_RUNHIB = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNHIB", supcSym_BOD33_Menu) supcSym_BOD33_RUNHIB.setLabel("Run in Hibernate Mode") supcSym_BOD33_RUNHIB.setDescription("Configures BOD33 operation in Hibernate Sleep Mode") supcSym_BOD33_RUNHIB.setDefaultValue(False) #BOD33 RUNBKUP supcSym_BOD33_RUNBKUP = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNBKUP", supcSym_BOD33_Menu) supcSym_BOD33_RUNBKUP.setLabel("Run in Backup Mode") supcSym_BOD33_RUNBKUP.setDescription("Configures BOD33 operation in Backup Sleep Mode") supcSym_BOD33_RUNBKUP.setDefaultValue(False) #BOD33 RUNSTDBY supcSym_BOD33_RUNSTDBY = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNSTDBY", supcSym_BOD33_Menu) supcSym_BOD33_RUNSTDBY.setLabel("Run in Standby Mode") supcSym_BOD33_RUNSTDBY.setDescription("Configures BOD33 operation in Standby Sleep Mode") supcSym_BOD33_RUNSTDBY.setDefaultValue(False) #BOD33 STDBYCFG mode supcSym_BOD33_STDBYCFG = supcComponent.createKeyValueSetSymbol("SUPC_BOD33_STDBYCFG", supcSym_BOD33_Menu) supcSym_BOD33_STDBYCFG.setLabel("Select Standby Mode Operation") supcSym_BOD33_STDBYCFG.setDescription("Configures whether BOD33 should operate in continuous or sampling mode in Standby Sleep Mode") supcSym_BOD33_STDBYCFG.addKey("CONT_MODE", "0", "Continuous Mode") supcSym_BOD33_STDBYCFG.addKey("SAMP_MODE", "1", "Sampling Mode") supcSym_BOD33_STDBYCFG.setDefaultValue(0) supcSym_BOD33_STDBYCFG.setOutputMode("Value") supcSym_BOD33_STDBYCFG.setDisplayMode("Description") supcSym_BOD33_STDBYCFG.setVisible(False) supcSym_BOD33_STDBYCFG.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BOD33_RUNSTDBY"]) #BOD33 PSEL supcSym_BOD33_PSEL = supcComponent.createKeyValueSetSymbol("SUPC_BOD33_PSEL", supcSym_BOD33_Menu) supcSym_BOD33_PSEL.setLabel("Select Prescaler for Sampling Clock") supcSym_BOD33_PSEL.setDescription("Configures the sampling clock prescaler when BOD33 is operating in sampling Mode") supcSym_BOD33_PSEL.setVisible(False) supcSym_BOD33_PSEL.setDependencies(updateBOD33PrescalerVisibleProperty, ["SUPC_BOD33_STDBYCFG", "SUPC_BOD33_RUNHIB", "SUPC_BOD33_RUNBKUP"]) supcBOD33PselNode = ATDF.getNode("/avr-tools-device-file/modules/module@[name=\"SUPC\"]/value-group@[name=\"SUPC_BOD33__PSEL\"]") supcBOD33PselValues = [] supcBOD33PselValues = supcBOD33PselNode.getChildren() #PSEL value 0 is not usable in sampling mode. Thus the loop starts from 1. for index in range (1, len(supcBOD33PselValues)): supcBOD33PselKeyName = supcBOD33PselValues[index].getAttribute("name") supcBOD33PselKeyDescription = supcBOD33PselValues[index].getAttribute("caption") supcBOD33PselKeyValue = supcBOD33PselValues[index].getAttribute("value") supcSym_BOD33_PSEL.addKey(supcBOD33PselKeyName, supcBOD33PselKeyValue, supcBOD33PselKeyDescription) supcSym_BOD33_PSEL.setDefaultValue(0) supcSym_BOD33_PSEL.setOutputMode("Value") supcSym_BOD33_PSEL.setDisplayMode("Description") #BOD Configuration comment supcSym_BOD33_FuseComment = supcComponent.createCommentSymbol("SUPC_CONFIG_COMMENT", supcSym_BOD33_Menu) supcSym_BOD33_FuseComment.setLabel("Note: Configure BOD33 Fuses using 'System' component") #VREG Menu supcSym_VREG_Menu= supcComponent.createMenuSymbol("VREG_MENU", None) supcSym_VREG_Menu.setLabel("Voltage Regulator (VREG) Configuration") #VREG RUNBKUP mode supcSym_VREG_RUNBKUP = supcComponent.createKeyValueSetSymbol("SUPC_VREG_RUNBKUP", supcSym_VREG_Menu) supcSym_VREG_RUNBKUP.setLabel("Main Voltage Regulator operation in backup sleep") supcSym_VREG_RUNBKUP.setDescription("Selects Main Voltage Regulator operation in backup sleep") supcSym_VREG_RUNBKUP.addKey("REG_OFF", "0", "Regulator stopped") supcSym_VREG_RUNBKUP.addKey("REG_ON", "1", "Regulator not stopped") supcSym_VREG_RUNBKUP.setDefaultValue(0) supcSym_VREG_RUNBKUP.setOutputMode("Value") supcSym_VREG_RUNBKUP.setDisplayMode("Description") #VREG VESN supcSym_VREG_VSEN = supcComponent.createBooleanSymbol("SUPC_VREG_VSEN", supcSym_VREG_Menu) supcSym_VREG_VSEN.setLabel("Enable Voltage Scaling") supcSym_VREG_VSEN.setDescription("Enable smooth transition of VDDCORE") supcSym_VREG_VSEN.setDefaultValue(False) #VREG VSPER supcSym_VREG_VSPER = supcComponent.createIntegerSymbol("SUPC_VREG_VSPER", supcSym_VREG_Menu) supcSym_VREG_VSPER.setLabel("Voltage Scaling Period") supcSym_VREG_VSEN.setDescription("The time is ((2^VSPER) T), where T is an internal period (typ 250 ns).") supcSym_VREG_VSPER.setDefaultValue(0) supcSym_VREG_VSPER.setMin(0) supcSym_VREG_VSPER.setMax(7) supcSym_VREG_VSPER.setVisible(False) supcSym_VREG_VSPER.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_VREG_VSEN"]) #VREF Menu supcSym_VREF_Menu= supcComponent.createMenuSymbol("VREF_MENU", None) supcSym_VREF_Menu.setLabel("Voltage Reference (VREF) Configuration") supcSym_VREF_SEL = supcComponent.createKeyValueSetSymbol("SUPC_VREF_SEL", supcSym_VREF_Menu) supcSym_VREF_SEL.setLabel("Voltage Reference value") supcSym_VREF_SEL.setDescription("Select the Voltage Reference typical value") supcVREFSelNode = ATDF.getNode("/avr-tools-device-file/modules/module@[name=\"SUPC\"]/value-group@[name=\"SUPC_VREF__SEL\"]") supcVREFSelValues = [] supcVREFSelValues = supcVREFSelNode.getChildren() for index in range (0, len(supcVREFSelValues)): supcVREFSelKeyName = supcVREFSelValues[index].getAttribute("name") supcVREFSelKeyDescription = supcVREFSelValues[index].getAttribute("caption") supcVREFSelKeyValue = supcVREFSelValues[index].getAttribute("value") supcSym_VREF_SEL.addKey(supcVREFSelKeyName, supcVREFSelKeyValue, supcVREFSelKeyDescription) supcSym_VREF_SEL.setDefaultValue(0) supcSym_VREF_SEL.setOutputMode("Value") supcSym_VREF_SEL.setDisplayMode("Description") #VREF ONDEMAND mode supcSym_VREF_ONDEMAND = supcComponent.createBooleanSymbol("SUPC_VREF_ONDEMAND", supcSym_VREF_Menu) supcSym_VREF_ONDEMAND.setLabel("Enable On demand") supcSym_VREF_ONDEMAND.setDescription("If this option is enabled, the voltage reference is disabled when no peripheral is requesting it.") supcSym_VREF_ONDEMAND.setDefaultValue(False) #VREF RUNSTDBY mode supcSym_VREF_RUNSTDBY = supcComponent.createBooleanSymbol("SUPC_VREF_RUNSTDBY", supcSym_VREF_Menu) supcSym_VREF_RUNSTDBY.setLabel("Enable Run in Standby") supcSym_VREF_RUNSTDBY.setDescription("Enable VREF operation in Standby Sleep Mode") #VREF VREFOE supcSym_VREF_VREFOE = supcComponent.createBooleanSymbol("SUPC_VREF_VREFOE", supcSym_VREF_Menu) supcSym_VREF_VREFOE.setLabel("Enable VREF output") supcSym_VREF_VREFOE.setDescription("Enable VREF connection to ADC. If ONDEMAND is 0 and VREF is enabled, Temperature Sensor cannot be used") supcSym_VREF_VREFOE.setDefaultValue(False) #VREF TSEN supcSym_VREF_TSEN = supcComponent.createBooleanSymbol("SUPC_VREF_TSEN", supcSym_VREF_Menu) supcSym_VREF_TSEN.setLabel("Enable Temperature Sensor") supcSym_VREF_TSEN.setDescription("Enable Temperature Sensor connection to ADC") supcSym_VREF_TSEN.setDefaultValue(False) supcSym_VREF_TSEN.setDependencies(updateVrefVisibleProperty, ["SUPC_VREF_ONDEMAND", "SUPC_VREF_VREFOE"]) #BBPS Menu supcSym_BBPS_Menu= supcComponent.createMenuSymbol("SUPC_BBPS", None) supcSym_BBPS_Menu.setLabel("Battery Backup Power Switch Configuraiton") #BBPS supply switching supcSym_BBPS = supcComponent.createBooleanSymbol("SUPC_BBPS_WAKEEN", supcSym_BBPS_Menu) supcSym_BBPS.setLabel("Wake Device on BBPS Switching") supcSym_BBPS.setDescription("The device can be woken up when switched from battery backup power to Main Power.") #SUPC Output pin configuration #For pin names, refer 'Supply Controller Pinout' in Datasheet supcSym_BKOUT_Menu= supcComponent.createMenuSymbol("SUPC_BKOUT", None) supcSym_BKOUT_Menu.setLabel("SUPC Output pin configuraiton") #SUPC Output pin 0 supcSym_BKOUT0 = supcComponent.createBooleanSymbol("SUPC_BKOUT_0", supcSym_BKOUT_Menu) supcSym_BKOUT0.setLabel("Enable OUT0") supcSym_BKOUT0.setDescription("OUT0 pin can be driven by SUPC. It can be toggled by SUPC, based on RTC Events") supcSym_BKOUT0.setDefaultValue(False) #RTCTGCL 0 supcSym_BKOUT_RTCTGL0 = supcComponent.createBooleanSymbol("SUPC_BKOUT_RTCTGCL0", supcSym_BKOUT0) supcSym_BKOUT_RTCTGL0.setLabel("Toggle OUT0 on RTC Event") supcSym_BKOUT_RTCTGL0.setDescription("OUT0 pin can be toggled by SUPC, based on RTC Events") supcSym_BKOUT_RTCTGL0.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BKOUT_0"]) supcSym_BKOUT_RTCTGL0.setVisible(False) #SUPC Output pin 1 supcSym_BKOUT1 = supcComponent.createBooleanSymbol("SUPC_BKOUT_1", supcSym_BKOUT_Menu) supcSym_BKOUT1.setLabel("Enable OUT1") supcSym_BKOUT1.setDescription("OUT1 pin can be driven by SUPC. It can be toggled by SUPC, based on RTC Events") supcSym_BKOUT1.setDefaultValue(False) #RTCTGCL 1 supcSym_BKOUT_RTCTGL1 = supcComponent.createBooleanSymbol("SUPC_BKOUT_RTCTGCL1", supcSym_BKOUT1) supcSym_BKOUT_RTCTGL1.setLabel("Toggle OUT1 on RTC Event") supcSym_BKOUT_RTCTGL1.setDescription("OUT1 pin can be toggled by SUPC, based on RTC Events") supcSym_BKOUT_RTCTGL1.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BKOUT_1"]) supcSym_BKOUT_RTCTGL1.setVisible(False) ############################################################################ #### Dependency #### ############################################################################ InterruptVector = supcInstanceName.getValue() + "_BODDET_INTERRUPT_ENABLE" InterruptHandler = supcInstanceName.getValue() + "_BODDET_INTERRUPT_HANDLER" InterruptHandlerLock = supcInstanceName.getValue()+ "_BODDET_INTERRUPT_HANDLER_LOCK" ################################################################################################### ####################################### Code Generation ########################################## ################################################################################################### configName = Variables.get("__CONFIGURATION_NAME") supcSym_HeaderFile = supcComponent.createFileSymbol("SUPC_HEADER", None) supcSym_HeaderFile.setSourcePath("../peripheral/supc_u2407/templates/plib_supc.h.ftl") supcSym_HeaderFile.setOutputName("plib_"+supcInstanceName.getValue().lower()+".h") supcSym_HeaderFile.setDestPath("/peripheral/supc/") supcSym_HeaderFile.setProjectPath("config/" + configName + "/peripheral/supc/") supcSym_HeaderFile.setType("HEADER") supcSym_HeaderFile.setMarkup(True) supcSym_SourceFile = supcComponent.createFileSymbol("SUPC_SOURCE", None) supcSym_SourceFile.setSourcePath("../peripheral/supc_u2407/templates/plib_supc.c.ftl") supcSym_SourceFile.setOutputName("plib_"+supcInstanceName.getValue().lower()+".c") supcSym_SourceFile.setDestPath("/peripheral/supc/") supcSym_SourceFile.setProjectPath("config/" + configName + "/peripheral/supc/") supcSym_SourceFile.setType("SOURCE") supcSym_SourceFile.setMarkup(True) supcSym_SystemInitFile = supcComponent.createFileSymbol("SUPC_SYS_INT", None) supcSym_SystemInitFile.setType("STRING") supcSym_SystemInitFile.setOutputName("core.LIST_SYSTEM_INIT_C_SYS_INITIALIZE_PERIPHERALS") supcSym_SystemInitFile.setSourcePath("../peripheral/supc_u2407/templates/system/initialization.c.ftl") supcSym_SystemInitFile.setMarkup(True) supcSym_SystemDefFile = supcComponent.createFileSymbol("SUPC_SYS_DEF", None) supcSym_SystemDefFile.setType("STRING") supcSym_SystemDefFile.setOutputName("core.LIST_SYSTEM_DEFINITIONS_H_INCLUDES") supcSym_SystemDefFile.setSourcePath("../peripheral/supc_u2407/templates/system/definitions.h.ftl") supcSym_SystemDefFile.setMarkup(True)	[ 1, 396, 14137, 29901, 23616, 29899, 29947, 13, 15945, 29908, 7775, 7775, 7775, 7775, 4189, 2328, 29930, 13, 29930, 14187, 1266, 313, 29907, 29897, 29871, 29906, 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backend/backend/users/models.py	Redaloukil/PackageWay	0	88766	import uuid from django.contrib.auth.models import AbstractUser , PermissionsMixin from django.db import models from django.urls import reverse from django.utils.translation import ugettext_lazy as _ from backend.users.managers import UserManager USER_TYPE = ( ("0" , "client"), ("1" , "delivery") ) class User(AbstractUser): username = models.CharField(_("Name of User"), blank=False, max_length=255 , unique=True) first_name = models.CharField(max_length=255 , blank=False) last_name = models.CharField(max_length=255 , blank=False) user_type = models.CharField( choices=USER_TYPE ,max_length=10 ,default="0") is_active = models.BooleanField(default=True) is_staff = models.BooleanField(default=False) objects = UserManager() def get_absolute_url(self): return reverse("users:detail", kwargs={"username": self.username}) USERNAME_FIELD = 'username' REQUIRED_FIELDS = ['first_name' ,'last_name' ,''] class Meta: app_label = 'users' def __str__(self): return self.username def get_short_name(self): return self.username def get_full_name(self): return self.username + " " + self.first_name + " " + self.last_name def save(self, args, kwargs): if not self.password: self.password = str(uuid.uuid4()).replace('-', '') super(User, self).save(args, **kwargs) class Profile(models.Model): # image = models.ImageField(blank=True) user = models.ForeignKey(User , on_delete=models.CASCADE) def __str__(self): return self.user.username class ResetPasswordCode(models.Model): user = models.ForeignKey(User , on_delete=models.CASCADE) code = models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True) class Meta: default_related_name = 'reset_password_codes' def __str__(self): return self.user.username + " " + self.code	[ 1, 1053, 318, 5416, 13, 3166, 9557, 29889, 21570, 29889, 5150, 29889, 9794, 1053, 25513, 2659, 1919, 20894, 6847, 29924, 861, 262, 13, 3166, 9557, 29889, 2585, 1053, 4733, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 3166, 9557, 29889, 13239, 29889, 3286, 18411, 1053, 318, 657, 726, 29918, 433, 1537, 408, 903, 13, 3166, 14998, 29889, 7193, 29889, 1171, 18150, 1053, 4911, 3260, 13, 13, 11889, 29918, 11116, 353, 313, 13, 1678, 4852, 29900, 29908, 1919, 376, 4645, 4968, 13, 1678, 4852, 29896, 29908, 1919, 376, 29881, 27657, 1159, 13, 29897, 13, 13, 1990, 4911, 29898, 9118, 2659, 1125, 13, 1678, 8952, 353, 4733, 29889, 27890, 7373, 703, 1170, 310, 4911, 4968, 9654, 29922, 8824, 29892, 4236, 29918, 2848, 29922, 29906, 29945, 29945, 1919, 5412, 29922, 5574, 29897, 13, 1678, 937, 29918, 978, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 1919, 9654, 29922, 8824, 29897, 13, 1678, 1833, 29918, 978, 353, 4733, 29889, 27890, 29898, 3317, 29918, 2848, 29922, 29906, 29945, 29945, 1919, 9654, 29922, 8824, 29897, 13, 1678, 1404, 29918, 1853, 353, 4733, 29889, 27890, 29898, 19995, 29922, 11889, 29918, 11116, 1919, 3317, 29918, 2848, 29922, 29896, 29900, 1919, 4381, 543, 29900, 1159, 13, 1678, 338, 29918, 4925, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 5574, 29897, 13, 1678, 338, 29918, 303, 3470, 353, 4733, 29889, 18146, 3073, 29898, 4381, 29922, 8824, 29897, 13, 268, 13, 268, 13, 1678, 3618, 353, 4911, 3260, 580, 13, 268, 13, 1678, 822, 679, 29918, 23552, 29918, 2271, 29898, 1311, 1125, 13, 4706, 736, 11837, 703, 7193, 29901, 16432, 613, 9049, 5085, 3790, 29908, 6786, 1115, 1583, 29889, 6786, 1800, 13, 13, 1678, 3148, 1001, 5813, 29918, 3738, 27286, 353, 525, 6786, 29915, 13, 13, 1678, 5195, 29984, 3120, 19386, 29918, 3738, 6670, 8452, 353, 6024, 4102, 29918, 978, 29915, 1919, 29915, 4230, 29918, 978, 29915, 1919, 29915, 2033, 13, 13, 1678, 770, 20553, 29901, 13, 4706, 623, 29918, 1643, 353, 525, 7193, 29915, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 1583, 29889, 6786, 13, 13, 1678, 822, 679, 29918, 12759, 29918, 978, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 6786, 13, 13, 1678, 822, 679, 29918, 8159, 29918, 978, 29898, 1311, 1125, 13, 4706, 736, 1583, 29889, 6786, 718, 376, 376, 718, 1583, 29889, 4102, 29918, 978, 718, 376, 376, 718, 1583, 29889, 4230, 29918, 978, 13, 13, 1678, 822, 4078, 29898, 1311, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 4706, 565, 451, 1583, 29889, 5630, 29901, 13, 9651, 1583, 29889, 5630, 353, 851, 29898, 25118, 29889, 25118, 29946, 16655, 6506, 877, 29899, 742, 27255, 13, 4706, 2428, 29898, 2659, 29892, 1583, 467, 7620, 10456, 5085, 29892, 3579, 19290, 29897, 13, 13, 13, 1990, 20802, 29898, 9794, 29889, 3195, 1125, 13, 1678, 396, 1967, 353, 4733, 29889, 2940, 3073, 29898, 19465, 29922, 5574, 29897, 13, 1678, 1404, 353, 4733, 29889, 27755, 2558, 29898, 2659, 1919, 373, 29918, 8143, 29922, 9794, 29889, 29907, 3289, 5454, 2287, 29897, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 1583, 29889, 1792, 29889, 6786, 13, 13, 13, 1990, 2538, 300, 10048, 3399, 29898, 9794, 29889, 3195, 1125, 13, 1678, 1404, 353, 4733, 29889, 27755, 2558, 29898, 2659, 1919, 373, 29918, 8143, 29922, 9794, 29889, 29907, 3289, 5454, 2287, 29897, 13, 1678, 775, 353, 4733, 29889, 29965, 11150, 3073, 29898, 4381, 29922, 25118, 29889, 25118, 29946, 29892, 3863, 519, 29922, 8824, 29892, 7601, 29918, 1989, 29922, 5574, 29897, 13, 13, 1678, 770, 20553, 29901, 13, 4706, 2322, 29918, 12817, 29918, 978, 353, 525, 12071, 29918, 5630, 29918, 18137, 29915, 13, 13, 1678, 822, 4770, 710, 12035, 1311, 1125, 13, 4706, 736, 1583, 29889, 1792, 29889, 6786, 718, 376, 376, 718, 1583, 29889, 401, 13, 2 ]
scripts/chi-to-json.py	paperquest/paperquest.github.io	14	125132	################################################################################ # # Parses a tab-separated dataset file of papers from CHI and UIST and # turns it into JSON. Each row in the file has the columns: # # 1. conference # 2. year # 3. title # 4. abstract # 5. authors # 6. doi # 7. references # # where authors is of the form author1~author2~...~authorN and the # references are doi's of other publications, using up as many extra # columns as there are references for the paper. # # The script also tries to complete the citation information for each # paper, scanning through the references to add relevant citations to # the papers contained in this dataset. import json import sys def partialDOIMatch(d1, d2): """ Assumes d1 is a "full DOI", like '10.1145/1166253.1166292', and d2 is a partial DOI, like '1166292' or '1166253.1166292'. Returns true if they match and false otherwise. Note that in the previous case, a partial like '292' would be a negative match. The partial must contain full subsections. """ if (d2.find('.') >= 0): return d2 == d1.split('/')[-1] return d2 == d1.split('.')[-1] if __name__ == "__main__": if len(sys.argv) != 3: print "Usage: python chi-to-json.py <papers.tsv> <citation_counts.json>" exit (1); input_file = open(sys.argv[1]) papers = {} for line in input_file.readlines(): # Drop whitespace at the end, and split on tabs. vals = line.rstrip().split('\t') # Build a new dictionary with the values for the paper. paper = {} paper['conference'] = vals[0] paper['year'] = vals[1] paper['title'] = vals[2] paper['abstract'] = vals[3] paper['authors'] = vals[4].split('~') # paper['doi'] = vals[5] paper['references'] = vals[6:] paper['citations'] = [] paper['citation_count'] = 0 # All papers have a 0 CC by default # Index papers by doi to set up for building citations. papers[vals[5]] = paper input_file.close() # Once we have a dictionary with all papers, go through them again # building the citations for doi, paper in papers.iteritems(): for ref in paper['references']: try: papers[ref]['citations'].append(doi) except KeyError: # Skip this one, there's no paper with that doi in our dataset. #print "Not found " + ref pass # For debugging: number of references and citations in the whole # dataset. If the dataset is self-contained, these numbers should # be the same. #print len(papers) #print reduce(lambda x,y: x+y, [len(p['references']) for p in papers.values()]) #print reduce(lambda x,y: x+y, [len(p['citations']) for p in papers.values()]) ccs = None with open(sys.argv[2]) as citation_counts_json: ccs = json.loads(citation_counts_json.read()) # The following process adds citation count information to every # paper that can be found on the specified file. This is a slow # process because we don't use the hash function in dict, but it # shouldn't have to run frequently. for d2 in ccs.keys(): matches = [d1 for d1 in papers.keys() if partialDOIMatch(d1, d2)] if matches: papers[matches[0]]['citation_count'] = ccs[d2]['citation_count'] # Write out a JSON object with everything in it. print json.dumps({'papers': papers})	[ 1, 835, 13383, 13383, 13383, 13383, 7346, 4136, 29937, 13, 29937, 29871, 13, 29937, 1459, 29879, 267, 263, 4434, 29899, 25048, 630, 8783, 934, 310, 15055, 515, 5868, 29902, 322, 3740, 1254, 322, 13, 29937, 12169, 372, 964, 4663, 29889, 29871, 7806, 1948, 297, 278, 934, 756, 278, 4341, 29901, 13, 29937, 13, 29937, 29871, 29896, 29889, 21362, 13, 29937, 29871, 29906, 29889, 1629, 13, 29937, 29871, 29941, 29889, 3611, 13, 29937, 29871, 29946, 29889, 9846, 13, 29937, 29871, 29945, 29889, 15717, 13, 29937, 29871, 29953, 29889, 13102, 13, 29937, 29871, 29955, 29889, 9282, 13, 29937, 13, 29937, 988, 15717, 338, 310, 278, 883, 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python/q904/q904.py	MatthewTsan/Leetcode	0	169773	from typing import List """ keyPoint: sliding window. facing problems with multiple same numbers: consider sum it up. """ class Solution: def totalFruit(self, tree: List[int]) -> int: if len(tree) == 0: return 0 treeList = [] totalNumber = 1 for i in range(len(tree) - 1): if tree[i] == tree[i + 1]: totalNumber += 1 else: treeList.append((tree[i], totalNumber)) totalNumber = 1 treeList.append((tree[-1], totalNumber)) print(treeList) if(len(treeList) == 1): return treeList[0][1] i = 2 inBusket = [treeList[0][0], treeList[1][0]] temWeight = treeList[0][1] + treeList[1][1] maxWeight = temWeight while (i < len(treeList)): print(i) print("inBusket:", inBusket) print("temWeight:", temWeight) print("max:", maxWeight) if treeList[i][0] in inBusket: temWeight += treeList[i][1] else: maxWeight = max(temWeight, maxWeight) inBusket = [treeList[i - 1][0], treeList[i][0]] temWeight = treeList[i - 1][1] + treeList[i][1] i += 1 maxWeight = max(temWeight, maxWeight) return maxWeight if __name__ == '__main__': sol = Solution() list = [1, 1,1,1,1,1] res = sol.totalFruit(list) print(res)	[ 1, 515, 19229, 1053, 2391, 13, 13, 15945, 29908, 13, 1989, 5228, 29901, 13, 1678, 2243, 4821, 3474, 29889, 14870, 4828, 411, 2999, 1021, 3694, 29901, 2050, 2533, 372, 701, 29889, 13, 15945, 29908, 13, 13, 13, 13, 1990, 24380, 29901, 13, 1678, 822, 3001, 29943, 9216, 29898, 1311, 29892, 5447, 29901, 2391, 29961, 524, 2314, 1599, 938, 29901, 13, 4706, 565, 7431, 29898, 8336, 29897, 1275, 29871, 29900, 29901, 13, 9651, 736, 29871, 29900, 13, 13, 4706, 5447, 1293, 353, 5159, 13, 4706, 3001, 4557, 353, 29871, 29896, 13, 4706, 363, 474, 297, 3464, 29898, 2435, 29898, 8336, 29897, 448, 29871, 29896, 1125, 13, 9651, 565, 5447, 29961, 29875, 29962, 1275, 5447, 29961, 29875, 718, 29871, 29896, 5387, 13, 18884, 3001, 4557, 4619, 29871, 29896, 13, 9651, 1683, 29901, 13, 18884, 5447, 1293, 29889, 4397, 3552, 8336, 29961, 29875, 1402, 3001, 4557, 876, 13, 18884, 3001, 4557, 353, 29871, 29896, 13, 4706, 5447, 1293, 29889, 4397, 3552, 8336, 14352, 29896, 1402, 3001, 4557, 876, 13, 4706, 1596, 29898, 8336, 1293, 29897, 13, 13, 4706, 565, 29898, 2435, 29898, 8336, 1293, 29897, 1275, 29871, 29896, 1125, 13, 9651, 736, 5447, 1293, 29961, 29900, 3816, 29896, 29962, 13, 13, 4706, 474, 353, 29871, 29906, 13, 4706, 297, 16890, 7873, 353, 518, 8336, 1293, 29961, 29900, 3816, 29900, 1402, 5447, 1293, 29961, 29896, 3816, 29900, 5262, 13, 4706, 1350, 22676, 353, 5447, 1293, 29961, 29900, 3816, 29896, 29962, 718, 5447, 1293, 29961, 29896, 3816, 29896, 29962, 13, 4706, 4236, 22676, 353, 1350, 22676, 13, 4706, 1550, 313, 29875, 529, 7431, 29898, 8336, 1293, 22164, 13, 9651, 1596, 29898, 29875, 29897, 13, 9651, 1596, 703, 262, 16890, 7873, 29901, 613, 297, 16890, 7873, 29897, 13, 9651, 1596, 703, 1356, 22676, 29901, 613, 1350, 22676, 29897, 13, 9651, 1596, 703, 3317, 29901, 613, 4236, 22676, 29897, 13, 9651, 565, 5447, 1293, 29961, 29875, 3816, 29900, 29962, 297, 297, 16890, 7873, 29901, 13, 18884, 1350, 22676, 4619, 5447, 1293, 29961, 29875, 3816, 29896, 29962, 13, 9651, 1683, 29901, 13, 18884, 4236, 22676, 353, 4236, 29898, 1356, 22676, 29892, 4236, 22676, 29897, 13, 18884, 297, 16890, 7873, 353, 518, 8336, 1293, 29961, 29875, 448, 29871, 29896, 3816, 29900, 1402, 5447, 1293, 29961, 29875, 3816, 29900, 5262, 13, 18884, 1350, 22676, 353, 5447, 1293, 29961, 29875, 448, 29871, 29896, 3816, 29896, 29962, 718, 5447, 1293, 29961, 29875, 3816, 29896, 29962, 13, 9651, 474, 4619, 29871, 29896, 13, 4706, 4236, 22676, 353, 4236, 29898, 1356, 22676, 29892, 4236, 22676, 29897, 13, 13, 4706, 736, 4236, 22676, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 13, 1678, 899, 353, 24380, 580, 13, 1678, 1051, 353, 518, 29896, 29892, 29871, 29896, 29892, 29896, 29892, 29896, 29892, 29896, 29892, 29896, 29962, 13, 1678, 620, 353, 899, 29889, 7827, 29943, 9216, 29898, 1761, 29897, 13, 1678, 1596, 29898, 690, 29897, 13, 2 ]
LaylaCoin/main.py	Bhaney44/AlgorandDevelopment	0	118244	<gh_stars>0 #Imports from config import * from algosdk.v2client import algod from algosdk import account, mnemonic from algosdk.future.transaction import write_to_file from algosdk.future.transaction import AssetConfigTxn, AssetTransferTxn from util import sign_and_send, balance_formatter from algosdk.future.transaction import AssetTransferTxn # Client # client = algod.AlgodClient(algod_token, algod_address) client = algod.AlgodClient("", algod_address, headers={'User-Agent': 'DoYouLoveMe?'}) # Create function. # Returns an unsigned txn object and writes the unsigned transaction object to a file for offline signing. # Uses current network params. def create(passphrase=None): params = client.suggested_params() txn = AssetConfigTxn(creator_address, params, **asset_details) if passphrase: txinfo = sign_and_send(txn, passphrase, client) asset_id = txinfo.get('asset-index') print("Asset ID: {}".format(asset_id)) else: write_to_file([txn], "create_coin.txn") # Creates an unsigned opt-in transaction for the specified asset id and address. # Uses current network params. def optin(passphrase=None): params = client.suggested_params() txn = AssetTransferTxn(sender=receiver_address, sp=params, receiver=receiver_address, amt=0, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) print("Opted in to asset ID: {}".format(asset_id)) else: write_to_file([txns], "optin.txn") # Creates an unsigned transfer transaction for the specified asset id, to the specified address, for the specified amount. #def transfer(passphrase=None): #amount = 6000 #params = client.suggested_params() #txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) #if passphrase: #txinfo = sign_and_send(txn, passphrase, client) #formatted_amount = balance_formatter(amount, asset_id, client) #print("Transferred {} from {} to {}".format(formatted_amount, #creator_address, receiver_address)) #print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) #else: #write_to_file([txns], "transfer.txn") def transfer(passphrase=None): amount = 6000 params = client.suggested_params() txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) formatted_amount = balance_formatter(amount, asset_id, client) print("Transferred {} from {} to {}".format(formatted_amount, creator_address, receiver_address)) print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) else: write_to_file([txns], "transfer.txn") # Checks the asset balance for the specific address and asset id. def check_holdings(asset_id, address): account_info = client.account_info(address) assets = account_info.get("assets") for asset in assets: if asset['asset-id'] == asset_id: amount = asset.get("amount") print("Account {} has {}.".format(address, balance_formatter(amount, asset_id, client))) return print("Account {} must opt-in to Asset ID {}.".format(address, asset_id)) # Creates an unsigned opt-in transaction for the specified asset id and address. # Uses current network params. def optin(passphrase=None): params = client.suggested_params() txn = AssetTransferTxn(sender=receiver_address, sp=params, receiver=receiver_address, amt=0, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) print("Opted in to asset ID: {}".format(asset_id)) else: write_to_file([txns], "optin.txn") from util import balance_formatter # Checks the asset balance for the specific address and asset id. def check_holdings(asset_id, address): account_info = client.account_info(address) assets = account_info.get("assets") for asset in assets: if asset['asset-id'] == asset_id: amount = asset.get("amount") print("Account {} has {}.".format(address, balance_formatter(amount, asset_id, client))) return print("Account {} must opt-in to Asset ID {}.".format(address, asset_id)) # Creates an unsigned transfer transaction for the specified asset id, to the specified address, for the specified amount. def transfer(passphrase=None): amount = 6000 params = client.suggested_params() txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) formatted_amount = balance_formatter(amount, asset_id, client) print("Transferred {} from {} to {}".format(formatted_amount, creator_address, receiver_address)) print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) else: write_to_file([txns], "transfer.txn")	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 1888, 4011, 13, 3166, 2295, 1053, 334, 13, 3166, 3093, 359, 8181, 29889, 29894, 29906, 4645, 1053, 3093, 397, 13, 3166, 3093, 359, 8181, 1053, 3633, 29892, 286, 15344, 8927, 13, 3166, 3093, 359, 8181, 29889, 29888, 9130, 29889, 20736, 1053, 2436, 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ptstat/dist/uniform.py	timmyzhao/ptstat	116	86080	import torch from torch.autograd import Variable from ptstat.core import RandomVariable, _to_v # TODO: Implement Uniform(a, b) constructor. class Uniform(RandomVariable): """ Uniform(0, 1) iid rv. """ def __init__(self, size, cuda=False): super(Uniform, self).__init__() assert len(size) == 2, str(size) self._cuda = cuda self._p_size = size def _size(self): return self._p_size def _log_pdf(self, x): return self._entropy() def _sample(self): # TODO: Use CUDA random_ when implemented. y = Variable(torch.FloatTensor(*self._p_size).uniform_()) if self._cuda: y = y.cuda() return y def _entropy(self): return _to_v(0, self._p_size[0], self._cuda)	[ 1, 1053, 4842, 305, 13, 3166, 4842, 305, 29889, 1300, 468, 3665, 1053, 28736, 13, 3166, 19592, 6112, 29889, 3221, 1053, 16968, 16174, 29892, 903, 517, 29918, 29894, 13, 13, 13, 29937, 14402, 29901, 1954, 2037, 853, 5560, 29898, 29874, 29892, 289, 29897, 5823, 29889, 13, 1990, 853, 5560, 29898, 17875, 16174, 1125, 13, 1678, 9995, 13, 1678, 853, 5560, 29898, 29900, 29892, 29871, 29896, 29897, 474, 333, 364, 29894, 29889, 13, 1678, 9995, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 2159, 29892, 274, 6191, 29922, 8824, 1125, 13, 4706, 2428, 29898, 2525, 5560, 29892, 1583, 467, 1649, 2344, 1649, 580, 13, 4706, 4974, 7431, 29898, 2311, 29897, 1275, 29871, 29906, 29892, 851, 29898, 2311, 29897, 13, 4706, 1583, 3032, 29883, 6191, 353, 274, 6191, 13, 4706, 1583, 3032, 29886, 29918, 2311, 353, 2159, 13, 13, 1678, 822, 903, 2311, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 29886, 29918, 2311, 13, 13, 1678, 822, 903, 1188, 29918, 5140, 29898, 1311, 29892, 921, 1125, 13, 4706, 736, 1583, 3032, 296, 14441, 580, 13, 13, 1678, 822, 903, 11249, 29898, 1311, 1125, 13, 4706, 396, 14402, 29901, 4803, 315, 29965, 7698, 4036, 29918, 746, 8762, 29889, 13, 4706, 343, 353, 28736, 29898, 7345, 305, 29889, 11031, 29911, 6073, 10456, 1311, 3032, 29886, 29918, 2311, 467, 29590, 29918, 3101, 13, 4706, 565, 1583, 3032, 29883, 6191, 29901, 13, 9651, 343, 353, 343, 29889, 29883, 6191, 580, 13, 4706, 736, 343, 13, 13, 1678, 822, 903, 296, 14441, 29898, 1311, 1125, 13, 4706, 736, 903, 517, 29918, 29894, 29898, 29900, 29892, 1583, 3032, 29886, 29918, 2311, 29961, 29900, 1402, 1583, 3032, 29883, 6191, 29897, 13, 2 ]
migrations/versions/f7570724d06d_increase_length_of_artist_name_column.py	mukul-mehta/C-3PO	34	55320	"""Increase length of artist name column Revision ID: <KEY> Revises: <KEY>8 Create Date: 2020-12-27 00:44:46.286228 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'f<PASSWORD>' down_revision = '<KEY>' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.alter_column('artist', 'name', existing_type=sa.VARCHAR(length=32), type_=sa.String(length=160), existing_nullable=True) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.alter_column('artist', 'name', existing_type=sa.String(length=160), type_=sa.VARCHAR(length=32), existing_nullable=True) # ### end Alembic commands ###	[ 1, 9995, 797, 1037, 559, 3309, 310, 7664, 1024, 1897, 13, 13, 1123, 4924, 3553, 29901, 529, 10818, 29958, 13, 1123, 1730, 267, 29901, 529, 10818, 29958, 29947, 13, 4391, 4712, 29901, 29871, 29906, 29900, 29906, 29900, 29899, 29896, 29906, 29899, 29906, 29955, 29871, 29900, 29900, 29901, 29946, 29946, 29901, 29946, 29953, 29889, 29906, 29947, 29953, 29906, 29906, 29947, 13, 13, 15945, 29908, 13, 3166, 20712, 29890, 293, 1053, 1015, 13, 5215, 4576, 284, 305, 6764, 408, 872, 13, 13, 13, 29937, 26554, 2893, 14903, 29892, 1304, 491, 319, 2409, 29890, 293, 29889, 13, 276, 4924, 353, 525, 29888, 29966, 25711, 17013, 16299, 13, 3204, 29918, 276, 4924, 353, 12801, 10818, 16299, 13, 17519, 29918, 21134, 353, 6213, 13, 2716, 1975, 29918, 265, 353, 6213, 13, 13, 13, 1753, 14955, 7295, 13, 1678, 396, 835, 8260, 4469, 5759, 491, 319, 2409, 29890, 293, 448, 3113, 10365, 29991, 835, 13, 1678, 1015, 29889, 13794, 29918, 4914, 877, 442, 391, 742, 525, 978, 742, 13, 1669, 5923, 29918, 1853, 29922, 4977, 29889, 29963, 15364, 29898, 2848, 29922, 29941, 29906, 511, 13, 1669, 1134, 29918, 29922, 4977, 29889, 1231, 29898, 2848, 29922, 29896, 29953, 29900, 511, 13, 1669, 5923, 29918, 4304, 519, 29922, 5574, 29897, 13, 1678, 396, 835, 1095, 319, 2409, 29890, 293, 8260, 835, 13, 13, 13, 1753, 1623, 8228, 7295, 13, 1678, 396, 835, 8260, 4469, 5759, 491, 319, 2409, 29890, 293, 448, 3113, 10365, 29991, 835, 13, 1678, 1015, 29889, 13794, 29918, 4914, 877, 442, 391, 742, 525, 978, 742, 13, 1669, 5923, 29918, 1853, 29922, 4977, 29889, 1231, 29898, 2848, 29922, 29896, 29953, 29900, 511, 13, 1669, 1134, 29918, 29922, 4977, 29889, 29963, 15364, 29898, 2848, 29922, 29941, 29906, 511, 13, 1669, 5923, 29918, 4304, 519, 29922, 5574, 29897, 13, 1678, 396, 835, 1095, 319, 2409, 29890, 293, 8260, 835, 13, 2 ]
slam.py	yycho0108/GraphSlam3D	8	119314	<filename>slam.py<gh_stars>1-10 """ GraphSlam 3D Implementation. TODO : support global initialization (initial pose + landmark estimates) """ import numpy as np from utils import qmath_np def block(ar): """ Convert Block Matrix to Dense Matrix """ ni,nj,nk,nl = ar.shape return np.swapaxes(ar, 1, 2).reshape(nink, njnl) def unblock(ar, nknl): """ Convert Dense Matrix to Block Matrix """ nk,nl = nknl nink, njnl = ar.shape ni = nink/nk nj = njnl/nl return ar.reshape(ni,nk,nj,nl).swapaxes(1,2) class GraphSlam3(object): def __init__(self, n_l, l=0.0): self._nodes = {} self._n_l = n_l self._lambda = l def add_edge(self, x, i0, i1): n = self._nodes p0, q0 = qmath_np.x2pq(n[i0]) p1, q1 = qmath_np.x2pq(n[i1]) dp, dq = qmath_np.x2pq(x) Aij, Bij, eij = qmath_np.Aij_Bij_eij(p0,p1,dp,q0,q1,dq) return Aij, Bij, eij def initialize(self, x0): n = 2 + self._n_l # [x0,x1,l0...ln] self._H = np.zeros((n,n,6,6), dtype=np.float64) self._b = np.zeros((n,1,6,1), dtype=np.float64) self._H[0,0] = np.eye(6) self._nodes[0] = x0 # TODO : Are the below initializations necessary? #p, q = qmath_np.x2pq(x0) #x = np.concatenate([p,qmath_np.T(q)], axis=-1) #self._b[0,0,:,0] = x def initialize_n(self, x0s): """ Initialize all nodes with estimates """ for (xi, x) in x0s: self._nodes[xi] = x # TODO : implement # TODO : separate out online / offline classes # with shared base that implements add_edge() / add-node() / initialize() # TODO : consider folding initialize_n into initialize by checking if x0 is iterable in [n,7] def step(self, x=None, ox=None, zs=None): """ Online Version """ # " expand " self._H[1,:] = 0.0 self._H[:,1] = 0.0 self._b[1] = 0.0 zis = [] # updates list # apply motion updates first if x is not None: self._nodes[1] = qmath_np.xadd_rel(self._nodes[0], x, T=False) zis.append(1) #zs.append([0, 1, x, ox]) # TODO : incorporate omega_x somehow # simply adding x0->x1 to zs did not work # H and b are organized as (X0, X1, L0, L1, ...) # where X0 is the previous position, and X1 is the current position. # Such that H[0,..] pertains to X0, and so on. # now with observations ... for (z0, z1, z, o) in zs: zis.append(z1) if z1 not in self._nodes: # initial guess self._nodes[z1] = qmath_np.xadd_rel( self._nodes[z0], z, T=False) # no need to compute deltas for initial guesses # (will be zero) continue Aij, Bij, eij = self.add_edge(z, z0, z1) self._H[z0,z0] += Aij.T.dot(o).dot(Aij) self._H[z0,z1] += Aij.T.dot(o).dot(Bij) self._H[z1,z0] += Bij.T.dot(o).dot(Aij) self._H[z1,z1] += Bij.T.dot(o).dot(Bij) self._b[z0] += Aij.T.dot(o).dot(eij) self._b[z1] += Bij.T.dot(o).dot(eij) H00 = block(self._H[:1,:1]) H01 = block(self._H[:1,1:]) H10 = block(self._H[1:,:1]) H11 = block(self._H[1:,1:]) B00 = block(self._b[:1,:1]) B10 = block(self._b[1:,:1]) AtBi = np.matmul(H10, np.linalg.pinv(H00)) XiP = B10 # fold previous information into new matrix H = H11 - np.matmul(AtBi, H01) B = B10 - np.matmul(AtBi, B00) mI = self._lambda * np.eye(H.shape) # marquardt damping #dx = np.matmul(np.linalg.pinv(H), -B) dx = np.linalg.lstsq(H+mI,-B, rcond=None)[0] dx = np.reshape(dx, [-1,6]) # [x1, l0, ... ln] for i in zis: self._nodes[i] = qmath_np.xadd_abs(self._nodes[i], dx[i-1]) #for i in range(1, 2+self._n_l): # if i in self._nodes: # self._nodes[i] = qmath_np.xadd(self._nodes[i], dx[i-1]) ##dx2 = np.matmul(np.linalg.pinv(block(self._H)), -block(self._b)) #dx2 = np.linalg.lstsq(block(self._H), -block(self._b), rcond=None)[0] #dx2 = np.reshape(dx2, [-1,6]) ##print 'dx2', dx2[1:] #for i in range(0, 2+self._n_l): # self._nodes[i] = qmath_np.xadd(self._nodes[i], dx2[i]) # replace previous node with current position self._nodes[0] = self._nodes[1].copy() H = unblock(H, (6,6)) B = unblock(B, (6,1)) # assign at appropriate places, with x_0 being updated with x_1 self._H[:1,:1] = H[:1,:1] self._H[:1,2:] = H[:1,1:] self._H[2:,:1] = H[1:,:1] self._H[2:,2:] = H[1:,1:] self._b[:1] = B[:1] self._b[2:] = B[1:] x = [self._nodes[k] for k in sorted(self._nodes.keys())] return x def run(self, zs, max_nodes, n_iter=10, tol=1e-4, debug=False): """ Offline version """ n = max_nodes for it in range(n_iter): # iterate 10 times for convergence H = np.zeros((n,n,6,6), dtype=np.float64) b = np.zeros((n,1,6,1), dtype=np.float64) for (z0, z1, z, o) in zs: if z1 not in self._nodes: # add initial guess to node self._nodes[z1] = qmath_np.xadd_rel(self._nodes[z0], z, T=False) Aij, Bij, eij = self.add_edge(z, z0, z1) H[z0,z0] += Aij.T.dot(o).dot(Aij) H[z0,z1] += Aij.T.dot(o).dot(Bij) H[z1,z0] += Bij.T.dot(o).dot(Aij) H[z1,z1] += Bij.T.dot(o).dot(Bij) b[z0] += Aij.T.dot(o).dot(eij) b[z1] += Bij.T.dot(o).dot(eij) H[0,0] += np.eye(6) H = block(H) b = block(b) # solve ... # marquardt - somehow makes it worse or something #mI = self._lambda np.eye(*H.shape) #dx = np.linalg.lstsq(H+mI,-b, rcond=None)[0] dx = np.linalg.lstsq(H,-b, rcond=None)[0] dx = np.reshape(dx, [-1,6]) # update for i in range(max_nodes): if i in self._nodes: self._nodes[i] = qmath_np.xadd_abs(self._nodes[i], dx[i]) # check convergence delta = np.mean(np.square(dx)) if debug: print('delta', delta) if delta < tol: break x = [self._nodes[k] for k in sorted(self._nodes.keys())] return x	[ 1, 529, 9507, 29958, 2536, 314, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 15945, 29908, 13, 9527, 29903, 5288, 29871, 29941, 29928, 1954, 14607, 29889, 13, 13, 4986, 3970, 584, 2304, 5534, 17865, 313, 11228, 18593, 718, 2982, 3502, 21875, 29897, 13, 15945, 29908, 13, 5215, 12655, 408, 7442, 13, 3166, 3667, 29879, 1053, 3855, 755, 29918, 9302, 13, 13, 1753, 2908, 29898, 279, 1125, 13, 1678, 9995, 14806, 15658, 22513, 304, 360, 1947, 22513, 9995, 13, 1678, 6836, 29892, 29876, 29926, 29892, 29876, 29895, 29892, 12938, 353, 564, 29889, 12181, 13, 1678, 736, 7442, 29889, 26276, 1165, 267, 29898, 279, 29892, 29871, 29896, 29892, 29871, 29906, 467, 690, 14443, 29898, 1240, 29930, 29876, 29895, 29892, 20199, 29930, 12938, 29897, 13, 13, 1753, 443, 1271, 29898, 279, 29892, 302, 3959, 29880, 1125, 13, 1678, 9995, 14806, 360, 1947, 22513, 304, 15658, 22513, 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optimizers.py	ivallesp/awesome-optimizers	37	169050	import numpy as np def run_optimizer(opt, cost_f, iterations, args, kwargs): errors = [cost_f.eval(cost_f.x_start, cost_f.y_start)] xs,ys= [cost_f.x_start],[cost_f.y_start] for epochs in range(iterations): x, y= opt.step(args, kwargs) xs.append(x) ys.append(y) errors.append(cost_f.eval(x,y)) distance = np.sqrt((np.array(xs)-cost_f.x_optimum)2 + (np.array(ys)-cost_f.y_optimum)2) return errors, distance, xs, ys class Optimizer: def __init__(self, cost_f, lr, x, y, kwargs): self.lr = lr self.cost_f = cost_f if x==None or y==None: self.x = self.cost_f.x_start self.y = self.cost_f.y_start else: self.x = x self.y = y self.__dict__.update(kwargs) def step(self, lr): raise NotImplementedError()	[ 1, 1053, 12655, 408, 7442, 13, 13, 13, 1753, 1065, 29918, 20640, 3950, 29898, 3670, 29892, 3438, 29918, 29888, 29892, 24372, 29892, 334, 5085, 29892, 3579, 19290, 1125, 13, 1678, 4436, 353, 518, 18253, 29918, 29888, 29889, 14513, 29898, 18253, 29918, 29888, 29889, 29916, 29918, 2962, 29892, 3438, 29918, 29888, 29889, 29891, 29918, 2962, 4638, 13, 1678, 14492, 29892, 952, 29922, 518, 18253, 29918, 29888, 29889, 29916, 29918, 2962, 16272, 18253, 29918, 29888, 29889, 29891, 29918, 2962, 29962, 13, 1678, 363, 21502, 12168, 297, 3464, 29898, 1524, 800, 1125, 13, 4706, 921, 29892, 343, 29922, 3523, 29889, 10568, 10456, 5085, 29892, 3579, 19290, 29897, 13, 4706, 14492, 29889, 4397, 29898, 29916, 29897, 13, 4706, 343, 29879, 29889, 4397, 29898, 29891, 29897, 13, 4706, 4436, 29889, 4397, 29898, 18253, 29918, 29888, 29889, 14513, 29898, 29916, 29892, 29891, 876, 13, 1678, 5418, 353, 7442, 29889, 3676, 3552, 9302, 29889, 2378, 29898, 10351, 6817, 18253, 29918, 29888, 29889, 29916, 29918, 3670, 12539, 29897, 1068, 29906, 718, 313, 9302, 29889, 2378, 29898, 952, 6817, 18253, 29918, 29888, 29889, 29891, 29918, 3670, 12539, 29897, 1068, 29906, 29897, 13, 1678, 736, 4436, 29892, 5418, 29892, 14492, 29892, 343, 29879, 13, 13, 1990, 20693, 326, 3950, 29901, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3438, 29918, 29888, 29892, 301, 29878, 29892, 921, 29892, 343, 29892, 3579, 19290, 1125, 13, 4706, 1583, 29889, 29212, 353, 301, 29878, 13, 4706, 1583, 29889, 18253, 29918, 29888, 353, 3438, 29918, 29888, 13, 4706, 565, 921, 1360, 8516, 470, 343, 1360, 8516, 29901, 13, 9651, 1583, 29889, 29916, 353, 1583, 29889, 18253, 29918, 29888, 29889, 29916, 29918, 2962, 13, 9651, 1583, 29889, 29891, 353, 1583, 29889, 18253, 29918, 29888, 29889, 29891, 29918, 2962, 13, 4706, 1683, 29901, 13, 9651, 1583, 29889, 29916, 353, 921, 13, 9651, 1583, 29889, 29891, 353, 343, 13, 632, 13, 4706, 1583, 17255, 8977, 26914, 5504, 29898, 19290, 29897, 13, 632, 13, 1678, 822, 4331, 29898, 1311, 29892, 301, 29878, 1125, 13, 4706, 12020, 2216, 1888, 2037, 287, 2392, 580, 2 ]
src/core/lib/errors.py	lilliputten/cam-rpi-server-2202	0	108547	<gh_stars>0 # -- coding:utf-8 -- # @module logger # @since 2020.02.23, 02:18 # @changed 2022.02.24, 00:53 import traceback # from . import utils from . import yamlSupport def toString(error, show_stacktrace=False): errorName = type(error).__name__ errorExtra = str(error) # TODO: Add all args? errorArg = str(error.args[0]) if error.args and error.args[0] else '' if errorArg and errorArg != errorExtra: errorExtra += ' (' + errorArg + ')' errorStr = errorName + ': ' + errorExtra stack = traceback.format_exc() if stack and show_stacktrace: errorStr += '\n' + stack return errorStr def toBlockString(error): errorStr = toString(error) return yamlSupport.BlockString(errorStr) __all__ = [ # Exporting objects... 'toString', 'toBlockString', ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 29937, 448, 29930, 29899, 14137, 29901, 9420, 29899, 29947, 448, 29930, 29899, 13, 29937, 732, 5453, 17927, 13, 29937, 732, 16076, 29871, 29906, 29900, 29906, 29900, 29889, 29900, 29906, 29889, 29906, 29941, 29892, 29871, 29900, 29906, 29901, 29896, 29947, 13, 29937, 732, 15033, 29871, 29906, 29900, 29906, 29906, 29889, 29900, 29906, 29889, 29906, 29946, 29892, 29871, 29900, 29900, 29901, 29945, 29941, 13, 13, 13, 5215, 9637, 1627, 13, 13, 29937, 29871, 515, 869, 1053, 3667, 29879, 13, 3166, 869, 1053, 343, 8807, 14039, 13, 13, 13, 1753, 304, 1231, 29898, 2704, 29892, 1510, 29918, 1429, 15003, 29922, 8824, 1125, 13, 1678, 1059, 1170, 353, 1134, 29898, 2704, 467, 1649, 978, 1649, 13, 1678, 1059, 18126, 353, 851, 29898, 2704, 29897, 13, 1678, 396, 29871, 14402, 29901, 3462, 599, 6389, 29973, 13, 1678, 1059, 8559, 353, 851, 29898, 2704, 29889, 5085, 29961, 29900, 2314, 565, 1059, 29889, 5085, 322, 1059, 29889, 5085, 29961, 29900, 29962, 1683, 6629, 13, 1678, 565, 1059, 8559, 322, 1059, 8559, 2804, 1059, 18126, 29901, 13, 4706, 1059, 18126, 4619, 525, 6702, 718, 1059, 8559, 718, 525, 16029, 13, 1678, 1059, 5015, 353, 1059, 1170, 718, 525, 29901, 525, 718, 1059, 18126, 13, 1678, 5096, 353, 9637, 1627, 29889, 4830, 29918, 735, 29883, 580, 13, 1678, 565, 5096, 322, 1510, 29918, 1429, 15003, 29901, 13, 4706, 1059, 5015, 4619, 11297, 29876, 29915, 718, 5096, 13, 1678, 736, 1059, 5015, 13, 13, 13, 1753, 304, 7445, 1231, 29898, 2704, 1125, 13, 1678, 1059, 5015, 353, 304, 1231, 29898, 2704, 29897, 13, 1678, 736, 343, 8807, 14039, 29889, 7445, 1231, 29898, 2704, 5015, 29897, 13, 13, 13, 1649, 497, 1649, 353, 518, 29871, 396, 1222, 637, 292, 3618, 856, 13, 1678, 525, 7711, 742, 13, 1678, 525, 517, 7445, 1231, 742, 13, 29962, 13, 2 ]
cgmodsel/base_solver.py	chrlen/cgmodsel	0	109921	# Copyright (c) 2019 <NAME> (<EMAIL>) """ @author: <NAME> base class for CG models and solvers """ import abc from typing import Iterable import numpy as np #from cgmodsel.models.model_base import get_modeltype from cgmodsel.models.model_pwsl import ModelPWSL from cgmodsel.models.model_pw import ModelPW from cgmodsel.utils import grp_soft_shrink, l21norm # pylint: disable=W0511 # todos # pylint: disable=R0914 # too many locals DUMMY = 'dummy' DUMMY_RED = 'dummy_red' INDEX = 'index' FLAT = 'flat' def set_sparsity_weights(meta, cat_data, cont_data): """ use adjusted weights for all groups as suggested by LST2015 (may be essential for "good", "consistent" results)""" n_data = meta['n_data'] n_cg = meta['n_cg'] n_cat = meta['n_cat'] dim = n_cg + n_cat # CG variables mus = cont_data.sum(axis=0) / n_data sigmas_cg = np.sqrt((cont_data2).sum(axis=0) / n_data - mus2) # categoricals sigmas_cat = np.empty(n_cat) freqs = cat_data.sum(axis=0) / n_data for r in range(n_cat): sigma_r = 0 for k in range(meta['sizes'][r]): p_xr_k = freqs[meta['cat_glims'][r] + k] # relative probability that x_r has value k sigma_r += p_xr_k * (1 - p_xr_k) sigmas_cat[r] = np.sqrt(sigma_r) weights = np.zeros((dim, dim)) for r in range(n_cat): for j in range(r): weights[r, j] = sigmas_cat[r] * sigmas_cat[j] for s in range(n_cg): weights[n_cat + s, r] = sigmas_cat[r] * sigmas_cg[s] for j in range(n_cg): for i in range(j): weights[n_cat + j, n_cat + i] = sigmas_cg[j] * sigmas_cg[i] weights += weights.T # TODO(franknu): weights on diagonal return weights ############################################################################### # base class for all CG model solvers ############################################################################### class BaseCGSolver(abc.ABC): """ base class for all CG model solver provides external interface to drop data along with meta information about this data """ def __init__(self): """must call method drop_data after initialization""" super().__init__() self.cat_data = None # discrete data, dropped later self.cat_format_required = None # must override self.cont_data = None # continuous data, dropped later # self.problem_vars = None #TODO(franknu) self.meta = {'n_data': 0} if not hasattr(self, 'opts'): # since this may already be defined from other base classes self.opts = {} self.name = 'base' def _postsetup_data(self): """called after drop_data""" # may be overridden in derived classes # no pass because function has doc string def drop_data(self, data, meta: dict) -> None: """drop data, derived classes may perform additional computations uses and augments information contained in meta about the data categorical data must be provided in dummy-encoded form (leaving out 0-th levels if required by the solver)""" # process argument data if isinstance(data, tuple): assert len(data) == 2 cat_data, cont_data = data else: counter = 0 if 'n_cat' in meta and meta['n_cat'] > 0: counter += 1 cat_data = data cont_data = np.empty((data.shape[0], 0)) if 'n_cg' in meta and meta['n_cg'] > 0: counter += 1 cont_data = data cat_data = np.empty((data.shape[0], 0)) assert counter == 1, 'dictionary meta incompatible with provided data' self.cont_data = cont_data self.cat_data = cat_data self.meta = {} for key in ('n_cg', 'n_cat'): if key in meta: self.meta[key] = meta[key] else: meta[key] = 0 if self.meta['n_cat'] > 0: assert 'sizes' in meta assert len(meta['sizes']) == meta['n_cat'] self.meta['sizes'] = meta['sizes'] # continue checking validity of meta if self.meta['n_cg'] > 0: assert not np.any(np.isnan(cont_data)) assert meta['n_cg'] == cont_data.shape[1] self.meta['n_data'] = cont_data.shape[0] if self.meta['n_cat'] == 0: self.meta['sizes'] = [] # no discrete variables self.meta['ltot'] = 0 self.meta['red_levels'] = False # value irrelevant, no cat vars self.meta['cat_glims'] = [0] else: if 'n_data' in self.meta: assert self.meta['n_data'] == cat_data.shape[0] else: self.meta['n_data'] = cat_data.shape[0] ltot = np.sum(meta['sizes']) if self.cat_format_required == DUMMY: assert ltot == cat_data.shape[1] # 0-th levels of the discrete data are contained # for identifiability, assume that corresponding # parameters are constrained to zero self.meta['red_levels'] = False elif self.cat_format_required == DUMMY_RED: assert ltot - meta['n_cat'] == cat_data.shape[1] # assume that 0-th levels are left out in discrete data # assures identifiability of the model self.meta['red_levels'] = True self.meta['sizes'] = [size - 1 for size in meta['sizes']] elif self.cat_format_required == INDEX: assert meta['n_cat'] == cat_data.shape[1] elif self.cat_format_required == FLAT: # MAP solver assert len(cat_data.shape) == 1 else: raise Exception('invalid self.cat_format_required') if self.cat_format_required in (DUMMY, DUMMY_RED): self.meta['ltot'] = cat_data.shape[1] self.meta['dim'] = self.meta['ltot'] + self.meta['n_cg'] # calculate cumulative # of levels/ group delimiters self.meta['cat_glims'] = np.cumsum([0] + self.meta['sizes']) self.meta['glims'] = list(self.meta['cat_glims']) + \ [1 + self.meta['ltot'] + s for s in range(self.meta['n_cg'])] # TODO(franknu): self.meta['glims'] for sparse reg only self.meta['nonbinary'] = (self.meta['ltot'] > self.meta['n_cat'] * (2 - self.meta['red_levels'])) self.meta['n_catcg'] = self.meta['n_cat'] + self.meta['n_cg'] # self.meta['type'] = get_modeltype(self.n_cat, self.n_cg, self.sizes) # fac = np.log(self.meta['n_cg'] + self.meta['n_cat']) fac = np.sqrt(np.log(self.meta['n_catcg']) / self.meta['n_data']) self.meta['reg_fac'] = fac # potentially used as prescaling factor # for regularization parameters self._postsetup_data() def get_name(self): """return model name""" return self.name class BaseSparseSolver(BaseCGSolver): """ base class that contains proximal operators """ def __init__(self, useweights=False): super().__init__() self.opts.setdefault('off', 0) # if 1 regularize only off-diagonal # model options # TODO(franknu): find better place self.opts.setdefault('use_alpha', 1) self.opts.setdefault('use_u', 1) self.useweights = useweights self.weights = None self.name = 'base-sparse' def _postsetup_data(self): """called after drop_data""" if self.useweights: self.weights = set_sparsity_weights(self.meta, self.cat_data, self.cont_data) else: self.weights = None def shrink(self, mat_s, tau): """return (group)- soft shrink of matrix mat_s with tau """ if self.meta['nonbinary']: return grp_soft_shrink(mat_s, tau, self.meta['n_cat'] + self.meta['n_cg'], self.meta['glims'], self.opts['off'], weights=self.weights) return grp_soft_shrink(mat_s, tau, off=self.opts['off'], weights=self.weights) def sparse_norm(self, mat_s): """return l21/ l1-norm of mat_s""" if self.meta['nonbinary']: return l21norm(mat_s, self.meta['n_cat'] + self.meta['n_cg'], self.meta['glims'], self.opts['off'], weights=self.weights) return l21norm(mat_s, off=self.opts['off'], weights=self.weights) class BaseGradSolver(abc.ABC): """ Base solver for iterative (scipy L-BFGS-B) solvers provides with methods to pack/unpack parameters into vector """ def __init__(self): # print('Init BaseCGSolver') super().__init__() self.shapes = None self.n_params = None # self.problem_vars = None if not hasattr(self, 'opts'): # should already be defined by other class self.opts = {} self._set_defaults() def _set_defaults(self): """default solver options""" self.opts.setdefault('verb', 1) # write output ## objective variants self.opts.setdefault('use_alpha', 1) # use univariate cts parameters? self.opts.setdefault('use_u', 1) # use univariate discrete parameters? self.opts.setdefault('off', 0) # if 1 regularize only off-diagonal ## stopping criteria and tolerancies # self.opts.setdefault('abstol', 1e-5) # self.opts.setdefault('reltol', 1e-5) self.opts.setdefault('tol', 1e-12) self.opts.setdefault('maxiter', 500) # self.opts.setdefault('useweights', False) # self.opts.setdefault('maxrank', -1) # @abc.abstractmethod # def get_bounds(self): # """get bounds""" # raise NotImplementedError # deferred to BaseHuber class @abc.abstractmethod def get_fval_and_grad(self, optvars, verb=0, *kwargs): """calculate function value and gradient for solver""" raise NotImplementedError def get_params(self, optvars): """a function to display the problem parameters""" params = self.unpack(optvars) for i, param in enumerate(params): print('%s:\n' % self.shapes[i][0], param) return params def pack(self, components): """pack (typically) gradients into vector x""" grad = np.empty(self.n_params) offset = 0 for i, component in enumerate(components): size = np.prod(self.shapes[i][1]) # print(self.shapes[i][0], size, np.prod(component.shape)) assert size == np.prod(component.shape) grad[offset:offset + size] = component.flatten() # row-wise offset += size return grad def unpack(self, x) -> Iterable[np.ndarray]: """unpack model parameters from vector x, save: returns copy""" offset = 0 params = [] xcopy = x.copy() # allows modifying the copy without modifying x for _, shapedim in self.shapes: tmp = np.prod(shapedim) params.append(xcopy[offset:offset + tmp].reshape(shapedim)) offset += tmp return params class BaseSolverSL(BaseSparseSolver): """ base class for S+L model solvers """ def __init__(self, args, *kwargs): super().__init__(args, *kwargs) self.alpha, self.beta = None, None self.lbda, self.rho = None, None self.problem_vars = None def __str__(self): string = '<ADMMsolver> la=%s' % (self.lbda) + ', rho=%s' % (self.rho) string += ', alpha=%s' % (self.alpha) + ', beta=%s' % (self.beta) string += ', use_alpha=%d' % (self.opts.setdefault('use_alpha', 1)) string += ', use_u=%d' % (self.opts.setdefault('use_u', 1)) string += ', off=%d' % (self.opts.setdefault('off', 1)) return string def get_canonicalparams(self): """Retrieves the PW S+L CG model parameters from flat parameter vector. output: Model_PWSL instance""" mat_s, mat_l, alpha = self.problem_vars ltot = self.meta['ltot'] mat_lambda = -mat_s[ltot:, ltot:] # cts-cts parameters # have negative sign in CG pairwise interaction parameter matrix if self.meta['n_cat'] > 0: glims = self.meta['cat_glims'] sizes = self.meta['sizes'] mat_q = mat_s[:ltot, :ltot] mat_r = mat_s[ltot:, :ltot] vec_u = 0.5 np.diag(mat_q).copy().reshape(ltot) for r in range(self.meta['n_cat']): # set block-diagonal to zero mat_q[glims[r]:glims[r+1], glims[r]:glims[r+1]] = \ np.zeros((sizes[r], sizes[r])) if self.meta['red_levels']: fullsizes = [size + 1 for size in sizes] else: fullsizes = sizes else: mat_q = np.empty(0) mat_r = np.empty(0) vec_u = np.empty(0) fullsizes = [] can_pwsl = vec_u, mat_q, mat_r, alpha, mat_lambda, mat_l annotations = { 'n': self.meta['n_data'], 'lambda': self.lbda, 'rho': self.rho } meta = { 'n_cat': self.meta['n_cat'], 'n_cg': self.meta['n_cg'], 'sizes': fullsizes } return ModelPWSL(can_pwsl, meta, annotations=annotations, in_padded=False) def get_regularization_params(self): """get regularization parameters""" return self.lbda, self.rho def set_regularization_params(self, hyperparams, scales=None, set_direct=False, ptype: str = 'std') -> None: """set regularization parameters hyperparams ... pair of regularization parameters ptype ... if 'std', set lambda, rho = hyperparams * scaling(n, nvars), where the parameters are for the problem min l(S-L) + lambda * \|\|S\|\|_1 + rho * tr(L) s.t. S-L>0, L>=0 Here, scaling(n, nvars) is a scaling suggested by consistency results Argument <scales> is not used in this case! if 'direct', directly set lambda, rho = hyperparams if 'convex' assume that alpha, beta = hyperparams and alpha, beta are weights in [0,1] and the problem is min (1-alpha-beta) * l(S-L) + alpha * \|\|S\|\|_1 + beta * tr(L) s.t. S-L>0, L>=0 In addition to the specified regularization parameters, the regularization parameters can be scaled by a fixed value (depending on the number of data points and variables): scales ... if None, use standard scaling np.sqrt(log(dg)/n) else scales must be a two-tuple, and lambda and rho are scaled according to the elements of this two-tuple """ assert len(hyperparams) == 2 assert hyperparams[0] >= 0 and hyperparams[1] >= 0 if ptype == 'std': # standard regularization parameters # first for l21, second for nuclear norm self.lbda, self.rho = hyperparams elif ptype == 'convex': alpha, beta = hyperparams # assert alpha + beta <= 1 assert alpha + beta < 1, "must contain likelihood part" self.alpha = alpha self.beta = beta denom = 1 - alpha - beta if denom != 0: self.lbda = alpha / denom self.rho = beta / denom # else: # # no likelihood part # self.lbda, self.rho = 0, 0 else: raise Exception('unknown ptype') if not set_direct: if not scales is None: scale_lbda, scale_rho = scales else: assert self.meta['n_data'] > 0, \ "data-dependent scaling, drop data first" # calculate prescaling factor for the regularization parameters # based on consistency analysis by Chandrasekaran et. al (2010) # assert 'reg_fac' in self.meta scale_lbda = self.meta['reg_fac'] scale_rho = self.meta['reg_fac'] self.lbda = scale_lbda self.rho = scale_rho class BaseSolverPW(BaseSparseSolver): """ base class for sparse graphical model solvers """ def __init__(self, args, kwargs): super().__init__(args, *kwargs) self.alpha = None self.lbda = None self.problem_vars = None def __str__(self): string = '<ADMMsolver> la=%s' % (self.lbda) string += ', use_alpha=%d' % (self.opts.setdefault('use_alpha', 1)) string += ', use_u=%d' % (self.opts.setdefault('use_u', 1)) string += ', off=%d' % (self.opts.setdefault('off', 1)) return string def get_canonicalparams(self): """Retrieves the PW CG model parameters from flat parameter vector. output: Model_PW instance""" mat_s, alpha = self.problem_vars ltot = self.meta['ltot'] mat_lambda = -mat_s[ltot:, ltot:] # cts-cts parameters # have negative sign in CG pairwise interaction parameter matrix if self.meta['n_cat'] > 0: glims = self.meta['cat_glims'] sizes = self.meta['sizes'] mat_q = mat_s[:ltot, :ltot] mat_r = mat_s[ltot:, :ltot] vec_u = 0.5 np.diag(mat_q).copy().reshape(ltot) for r in range(self.meta['n_cat']): # set block-diagonal to zero mat_q[glims[r]:glims[r+1], glims[r]:glims[r+1]] = \ np.zeros((sizes[r], sizes[r])) if self.meta['red_levels']: fullsizes = [size + 1 for size in sizes] else: fullsizes = sizes else: mat_q = np.empty(0) mat_r = np.empty(0) vec_u = np.empty(0) fullsizes = [] can_params = vec_u, mat_q, mat_r, alpha, mat_lambda annotations = { 'n': self.meta['n_data'], 'lambda': self.lbda, } meta = { 'n_cat': self.meta['n_cat'], 'n_cg': self.meta['n_cg'], 'sizes': fullsizes } return ModelPW(can_params, meta, annotations=annotations, in_padded=False) def get_regularization_params(self): """get regularization parameters""" return self.lbda def set_regularization_params(self, regparam, set_direct=False, scale=None, ptype='std'): """set regularization parameters for min l(S) + la\|\|S\|\|_{2/1} hyperparams ... pair of regularization parameters ptype ... if 'std', set lambda = regparam scaling(n, nvars), where Here, scaling(n, nvars) is a scaling suggested by consistency results Argument <scales> is not used in this case! if 'direct', directly set lambda = regparam if 'convex' assume that alpha = regparam and min_S (1-alpha) * l(S) + alpha * \|\|S\|\|_ {2,1} In addition to the specified regularization parameter, the regularization parameters can be scaled by a fixed value (depending on the number of data points and variables): scales ... if None, use standard scaling np.sqrt(log(dg)/n) else scales must be a nonnegative number with which lambda is scaled """ if ptype == 'std': # standard regularization parameter for l21-norm self.lbda = regparam elif ptype == 'convex': # convex hyperparams are assumed self.alpha = regparam assert self.alpha < 1, "must contain likelihood part" denom = 1 - self.alpha if denom != 0: self.lbda = self.alpha/denom else: self.lbda = 0 else: raise Exception('unknown ptype') if not set_direct: if scale is None: assert self.meta['n_data'] > 0, \ "data-dependent scaling, drop data first" scale = self.meta['reg_fac'] self.lbda *= scale	[ 1, 396, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29929, 529, 5813, 29958, 313, 29966, 26862, 6227, 12948, 13, 15945, 29908, 13, 29992, 8921, 29901, 529, 5813, 29958, 13, 13, 3188, 770, 363, 8446, 4733, 322, 899, 874, 13, 15945, 29908, 13, 5215, 25638, 13, 3166, 19229, 1053, 20504, 519, 13, 5215, 12655, 408, 7442, 13, 13, 29937, 3166, 274, 29887, 1545, 2838, 29889, 9794, 29889, 4299, 29918, 3188, 1053, 679, 29918, 4299, 1853, 13, 3166, 274, 29887, 1545, 2838, 29889, 9794, 29889, 4299, 29918, 29886, 29893, 2536, 1053, 8125, 29925, 7811, 29931, 13, 3166, 274, 29887, 1545, 2838, 29889, 9794, 29889, 4299, 29918, 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temporalio/bridge/proto/external_data/external_data_pb2.py	cretz/temporal-sdk-python	55	1618002	# -- coding: utf-8 -- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: temporal/sdk/core/external_data/external_data.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( b'\n3temporal/sdk/core/external_data/external_data.proto\x12\x15\x63oresdk.external_data\x1a\x1egoogle/protobuf/duration.proto\x1a\x1fgoogle/protobuf/timestamp.proto"\xfe\x01\n\x17LocalActivityMarkerData\x12\x0b\n\x03seq\x18\x01 \x01(\r\x12\x0f\n\x07\x61ttempt\x18\x02 \x01(\r\x12\x13\n\x0b\x61\x63tivity_id\x18\x03 \x01(\t\x12\x15\n\ractivity_type\x18\x04 \x01(\t\x12\x31\n\rcomplete_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12*\n\x07\x62\x61\x63koff\x18\x06 \x01(\x0b\x32\x19.google.protobuf.Duration\x12:\n\x16original_schedule_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestampb\x06proto3' ) _LOCALACTIVITYMARKERDATA = DESCRIPTOR.message_types_by_name["LocalActivityMarkerData"] LocalActivityMarkerData = _reflection.GeneratedProtocolMessageType( "LocalActivityMarkerData", (_message.Message,), { "DESCRIPTOR": _LOCALACTIVITYMARKERDATA, "__module__": "temporal.sdk.core.external_data.external_data_pb2" # @@protoc_insertion_point(class_scope:coresdk.external_data.LocalActivityMarkerData) }, ) _sym_db.RegisterMessage(LocalActivityMarkerData) if _descriptor._USE_C_DESCRIPTORS == False: DESCRIPTOR._options = None _LOCALACTIVITYMARKERDATA._serialized_start = 144 _LOCALACTIVITYMARKERDATA._serialized_end = 398 # 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lantz/drivers/newport/__init__.py	noelniles/lantz	88	146796	# -- coding: utf-8 -- """ lantz.drivers.newport ~~~~~~~~~~~~~~~~~~~~~ :company: Newport. :description: Test and Measurement Equipment. :website: http://www.newport.com/ --- :copyright: 2015 by Lantz Authors, see AUTHORS for more details. :license: BSD, """ from .powermeter1830c import PowerMeter1830c __all__ = ['PowerMeter1830c']	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 15945, 29908, 13, 1678, 301, 424, 29920, 29889, 24477, 874, 29889, 1482, 637, 13, 1678, 3695, 26594, 26594, 14087, 13, 13, 1678, 584, 14518, 29901, 1570, 637, 29889, 13, 1678, 584, 8216, 29901, 4321, 322, 2191, 3745, 358, 11243, 666, 358, 29889, 13, 1678, 584, 22942, 29901, 1732, 597, 1636, 29889, 1482, 637, 29889, 510, 29914, 13, 13, 1678, 11474, 13, 13, 1678, 584, 8552, 1266, 29901, 29871, 29906, 29900, 29896, 29945, 491, 365, 424, 29920, 13189, 943, 29892, 1074, 26524, 29950, 24125, 363, 901, 4902, 29889, 13, 1678, 584, 506, 1947, 29901, 350, 7230, 29892, 13, 13, 15945, 29908, 13, 13, 3166, 869, 12248, 837, 1308, 29896, 29947, 29941, 29900, 29883, 1053, 9206, 29924, 1308, 29896, 29947, 29941, 29900, 29883, 13, 13, 1649, 497, 1649, 353, 6024, 21472, 29924, 1308, 29896, 29947, 29941, 29900, 29883, 2033, 13, 2 ]
covid_xrays/tests/test_client.py	hosamshahin/covid_xrays	1	119212	<gh_stars>1-10 import json from base64 import b64encode from app.models.users import User from app.models.logs import Log import pytest def get_api_headers(username, password): return { 'Authorization': 'Basic ' + b64encode( (username + ':' + password).encode('utf-8')).decode('utf-8'), 'Accept': 'application/json', 'Content-Type': 'application/json' } def test_404(flask_test_client): response = flask_test_client.get('/wrong/url') assert response.status_code == 404 assert r'Not Found' in response.get_data(as_text=True) def test_home(flask_test_client): response = flask_test_client.get('/') assert response.status_code == 200 def test_ml_datasets_app(flask_test_client): response = flask_test_client.get('/ml_datasets', follow_redirects=True) assert response.status_code == 200 def test_reaction_dataset_app(flask_test_client): response = flask_test_client.get('/covid_form', follow_redirects=True) assert response.status_code == 200	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 5215, 4390, 13, 3166, 2967, 29953, 29946, 1053, 289, 29953, 29946, 12508, 13, 3166, 623, 29889, 9794, 29889, 7193, 1053, 4911, 13, 3166, 623, 29889, 9794, 29889, 20756, 1053, 4522, 13, 5215, 11451, 1688, 13, 13, 13, 1753, 679, 29918, 2754, 29918, 13662, 29898, 6786, 29892, 4800, 1125, 13, 1678, 736, 426, 13, 4706, 525, 25471, 2396, 525, 16616, 525, 718, 289, 29953, 29946, 12508, 29898, 13, 9651, 313, 6786, 718, 525, 11283, 718, 4800, 467, 12508, 877, 9420, 29899, 29947, 1495, 467, 13808, 877, 9420, 29899, 29947, 5477, 13, 4706, 525, 23965, 2396, 525, 6214, 29914, 3126, 742, 13, 4706, 525, 3916, 29899, 1542, 2396, 525, 6214, 29914, 3126, 29915, 13, 1678, 500, 13, 13, 1753, 1243, 29918, 29946, 29900, 29946, 29898, 1579, 1278, 29918, 1688, 29918, 4645, 1125, 13, 1678, 2933, 353, 29784, 29918, 1688, 29918, 4645, 29889, 657, 11219, 15866, 549, 29914, 2271, 1495, 13, 1678, 4974, 2933, 29889, 4882, 29918, 401, 1275, 29871, 29946, 29900, 29946, 13, 1678, 4974, 364, 29915, 3664, 7460, 29915, 297, 2933, 29889, 657, 29918, 1272, 29898, 294, 29918, 726, 29922, 5574, 29897, 13, 13, 1753, 1243, 29918, 5184, 29898, 1579, 1278, 29918, 1688, 29918, 4645, 1125, 13, 13, 1678, 2933, 353, 29784, 29918, 1688, 29918, 4645, 29889, 657, 11219, 1495, 13, 1678, 4974, 2933, 29889, 4882, 29918, 401, 1275, 29871, 29906, 29900, 29900, 13, 13, 1753, 1243, 29918, 828, 29918, 14538, 1691, 29918, 932, 29898, 1579, 1278, 29918, 1688, 29918, 4645, 1125, 13, 13, 1678, 2933, 353, 29784, 29918, 1688, 29918, 4645, 29889, 657, 11219, 828, 29918, 14538, 1691, 742, 1101, 29918, 17886, 29879, 29922, 5574, 29897, 13, 1678, 4974, 2933, 29889, 4882, 29918, 401, 1275, 29871, 29906, 29900, 29900, 13, 13, 1753, 1243, 29918, 276, 2467, 29918, 24713, 29918, 932, 29898, 1579, 1278, 29918, 1688, 29918, 4645, 1125, 13, 13, 1678, 2933, 353, 29784, 29918, 1688, 29918, 4645, 29889, 657, 11219, 24542, 333, 29918, 689, 742, 1101, 29918, 17886, 29879, 29922, 5574, 29897, 13, 1678, 4974, 2933, 29889, 4882, 29918, 401, 1275, 29871, 29906, 29900, 29900, 13, 13, 13, 13, 2 ]
scripts/imdb_precompute_test.py	jovialio/visualDet3D	250	173932	from copy import deepcopy import torch import cv2 import time import pickle import os import numpy as np import ctypes from _path_init import * from visualDet3D.utils.timer import Timer from visualDet3D.utils.utils import cfg_from_file from visualDet3D.data.kitti.kittidata import KittiData def read_one_split(cfg, index_names, data_root_dir, output_dict, data_split='training', time_display_inter=100): N = len(index_names) frames = [None] * N print("start reading {} data".format(data_split)) timer = Timer() for i, index_name in enumerate(index_names): # read data with dataloader api data_frame = KittiData(data_root_dir, index_name, output_dict) calib, _, _, _ = data_frame.read_data() # store the list of kittiObjet and kittiCalib data_frame.calib = calib frames[i] = data_frame if (i+1) % time_display_inter == 0: avg_time = timer.compute_avg_time(i+1) eta = timer.compute_eta(i+1, N) print("{} iter:{}/{}, avg-time:{}, eta:{}".format( data_split, i+1, N, avg_time, eta), end='\r') save_dir = os.path.join(cfg.path.preprocessed_path, data_split) if not os.path.isdir(save_dir): os.makedirs(save_dir) pkl_file = os.path.join(save_dir, 'imdb.pkl') pickle.dump(frames, open(pkl_file, 'wb')) print("{} split finished precomputing".format(data_split)) def main(config="config/config.py"): cfg = cfg_from_file(config) torch.cuda.set_device(cfg.trainer.gpu) time_display_inter = 100 # define the inverval displaying time consumed in loop data_root_dir = cfg.path.test_path # the base directory of training dataset calib_path = os.path.join(data_root_dir, 'calib') list_calib = os.listdir(calib_path) N = len(list_calib) # no need for image, could be modified for extended use output_dict = { "calib": True, "image": False, "label": False, "velodyne": False, } num_test_file = N test_names = ["%06d" % i for i in range(num_test_file)] read_one_split(cfg, test_names, data_root_dir, output_dict, 'test', time_display_inter) print("Preprocessing finished") if __name__ == '__main__': from fire import Fire Fire(main)	[ 1, 515, 3509, 1053, 6483, 8552, 13, 5215, 4842, 305, 13, 5215, 13850, 29906, 13, 5215, 931, 13, 5215, 5839, 280, 13, 5215, 2897, 13, 5215, 12655, 408, 7442, 13, 5215, 274, 8768, 13, 13, 3166, 903, 2084, 29918, 2344, 1053, 334, 13, 3166, 7604, 6362, 29941, 29928, 29889, 13239, 29889, 20404, 1053, 29168, 13, 3166, 7604, 6362, 29941, 29928, 29889, 13239, 29889, 13239, 1053, 274, 16434, 29918, 3166, 29918, 1445, 13, 3166, 7604, 6362, 29941, 29928, 29889, 1272, 29889, 29895, 986, 29875, 29889, 29895, 986, 333, 532, 1053, 476, 986, 29875, 1469, 13, 13, 13, 13, 1753, 1303, 29918, 650, 29918, 5451, 29898, 16859, 29892, 2380, 29918, 7039, 29892, 848, 29918, 4632, 29918, 3972, 29892, 1962, 29918, 8977, 29892, 848, 29918, 5451, 2433, 26495, 742, 931, 29918, 4990, 29918, 1639, 29922, 29896, 29900, 29900, 1125, 13, 1678, 405, 353, 7431, 29898, 2248, 29918, 7039, 29897, 13, 1678, 16608, 353, 518, 8516, 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network_crawler/__main__.py	luigi-riefolo/network_crawler	0	151773	"""Main stub."""	[ 1, 9995, 6330, 19281, 1213, 15945, 13, 2 ]
tests/ssim/ssim_test.py	XanderStaal/ganslate	0	56541	""" 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. Changes made: window is now 3D with size (1, 1, win_size, win_size, win_si`ze) All convolutions for mean and variance comp. are 3D Conv """ import torch from torch import nn import torch.nn.functional as F class SSIMLoss(nn.Module): """ SSIM loss module. """ def __init__(self, win_size: int = 7, k1: float = 0.01, k2: float = 0.03): """ Args: win_size: Window size for SSIM calculation. k1: k1 parameter for SSIM calculation. k2: k2 parameter for SSIM calculation. """ super().__init__() self.win_size = win_size self.k1, self.k2 = k1, k2 NP = win_size*2 self.cov_norm = NP / (NP - 1) def forward(self, X: torch.Tensor, Y: torch.Tensor, data_range: torch.Tensor): input_dimension = X.ndim - 2 if input_dimension == 2: conv = F.conv2d window_size = (self.win_size, self.win_size) elif input_dimension == 3: conv = F.conv3d window_size = (self.win_size, self.win_size, self.win_size) else: raise f"Unsupported dim {input_dimension} for provided input" if not hasattr(self, "w"): self.register_buffer("w", torch.ones(1, 1, window_size) / self.win_size*2) data_range = data_range[:, None, None, None] C1 = (self.k1 data_range)*2 C2 = (self.k2 data_range)*2 ux = conv(X, self.w) # typing: ignore uy = conv(Y, self.w) # uxx = conv(X X, self.w) uyy = conv(Y * Y, self.w) uxy = conv(X * Y, self.w) vx = self.cov_norm * (uxx - ux * ux) vy = self.cov_norm * (uyy - uy * uy) vxy = self.cov_norm * (uxy - ux * uy) A1, A2, B1, B2 = ( 2 * ux * uy + C1, 2 * vxy + C2, ux2 + uy2 + C1, vx + vy + C2, ) D = B1 * B2 S = (A1 * A2) / D return 1 - S.mean() if __name__ == "__main__": import SimpleITK as sitk import numpy as np from torchvision.utils import save_image from scipy.ndimage.filters import gaussian_filter as blur MIN_B = -1000 MAX_B = 2000 img_a = sitk.ReadImage('/repos/Maastro/nki_cervix/train/21403922/CT/0/CT.nrrd') img_b = sitk.ReadImage('/repos/Maastro/nki_cervix/train/21403922/CT/0/CT.nrrd') array_a = np.clip(sitk.GetArrayFromImage(img_a), MIN_B, MAX_B) - MIN_B array_b = np.clip(sitk.GetArrayFromImage(img_b), MIN_B, MAX_B) - MIN_B # array_a = (array_a - MIN_B) / (MAX_B - MIN_B) # array_b = (array_b - MIN_B) / (MAX_B - MIN_B) tensor_a = torch.Tensor(array_a).unsqueeze(dim=0).unsqueeze(dim=0) tensor_b = torch.Tensor(array_b).unsqueeze(dim=0).unsqueeze(dim=0) print(f"Tensor A max: {tensor_a.max()} min: {tensor_a.min()}") print(f"Tensor B max: {tensor_b.max()} min: {tensor_b.min()}") ssim = SSIMLoss() ssim_val = ssim(tensor_a, tensor_b, 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imagepy/menus/Plugins/Manager/console_wgt.py	cycleuser/imagepy	1	25337	# -- coding: utf-8 -- import wx from wx.py.shell import Shell import scipy.ndimage as ndimg import numpy as np # from imagepy import IPy from imagepy.core.engine import Free from sciapp import Source cmds = {'app':'app', 'np':np, 'ndimg':ndimg, 'update':None, 'get_img':None} class Macros(dict): def __init__(self): for i in Source.manager('plugin').names(): if not isinstance(i, str) or i == 'Command Line': #print(PluginsManager.plgs[i]) continue name = ''.join(list(filter(str.isalnum, i))) exec("self.run_%s = lambda para=None, plg=Source.manager('plugin').get(i):plg().start(cmds['app'], para)"%name) class Plugin(wx.Panel): title = 'Command Line' single = None def __init__(self, parent): wx.Panel.__init__ ( self, parent, id = wx.ID_ANY, pos = wx.DefaultPosition, size = wx.Size( 500,300 ), style = wx.DEFAULT_FRAME_STYLE\|wx.TAB_TRAVERSAL ) cmds['app'] = parent cmds['get_img'] = lambda name=None, app=self: self.app.get_img() cmds['update'] = lambda app=self: self.app.get_img().update() shell = Shell(self, locals=cmds) bSizer = wx.BoxSizer( wx.VERTICAL ) bSizer.Add( shell, 1, wx.EXPAND\|wx.ALL, 5 ) self.SetSizer(bSizer) cmds['plgs'] = Macros() shell.run('# plgs.run_name() to call a ImagePy plugin.\n') shell.run('# app is avalible here, and get_img() to get the current ImagePlus, update() to redraw.\n')	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 5215, 26437, 13, 3166, 26437, 29889, 2272, 29889, 15903, 1053, 1383, 514, 13, 5215, 4560, 2272, 29889, 299, 3027, 408, 29871, 299, 2492, 13, 5215, 12655, 408, 7442, 13, 29937, 515, 1967, 2272, 1053, 5641, 29891, 13, 13, 3166, 1967, 2272, 29889, 3221, 29889, 10599, 1053, 12362, 13, 3166, 885, 423, 407, 1053, 7562, 13, 13, 9006, 29879, 353, 11117, 932, 22099, 932, 742, 525, 9302, 2396, 9302, 29892, 525, 299, 2492, 2396, 299, 2492, 29892, 525, 5504, 2396, 8516, 29892, 525, 657, 29918, 2492, 2396, 8516, 29913, 13, 13, 1990, 4326, 1883, 29898, 8977, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 363, 474, 297, 7562, 29889, 12847, 877, 8582, 2824, 7039, 7295, 13, 9651, 565, 451, 338, 8758, 29898, 29875, 29892, 851, 29897, 470, 474, 1275, 525, 6255, 7407, 2396, 13, 18884, 396, 2158, 29898, 3247, 8385, 3260, 29889, 572, 3174, 29961, 29875, 2314, 13, 18884, 6773, 13, 9651, 1024, 353, 525, 4286, 7122, 29898, 1761, 29898, 4572, 29898, 710, 29889, 275, 284, 1949, 29892, 474, 4961, 13, 9651, 2279, 703, 1311, 29889, 3389, 29918, 29995, 29879, 353, 14013, 1702, 29922, 8516, 29892, 715, 29887, 29922, 4435, 29889, 12847, 877, 8582, 2824, 657, 29898, 29875, 1125, 572, 29887, 2141, 2962, 29898, 9006, 29879, 1839, 932, 7464, 1702, 5513, 29995, 978, 29897, 13, 13, 1990, 1858, 3851, 29898, 23310, 29889, 7490, 1125, 13, 1678, 3611, 353, 525, 6255, 7407, 29915, 13, 1678, 2323, 353, 6213, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 3847, 1125, 13, 4706, 26437, 29889, 7490, 17255, 2344, 1649, 313, 1583, 29892, 3847, 29892, 1178, 353, 26437, 29889, 1367, 29918, 2190, 29979, 29892, 29871, 13, 462, 18884, 926, 353, 26437, 29889, 4592, 8003, 29892, 2159, 353, 26437, 29889, 3505, 29898, 29871, 29945, 29900, 29900, 29892, 29941, 29900, 29900, 10353, 29871, 13, 462, 18884, 3114, 353, 26437, 29889, 23397, 29918, 29943, 4717, 2303, 29918, 1254, 29979, 1307, 29989, 23310, 29889, 29911, 2882, 29918, 29911, 4717, 5348, 29903, 1964, 1723, 13, 4706, 9920, 29879, 1839, 932, 2033, 353, 3847, 13, 4706, 9920, 29879, 1839, 657, 29918, 2492, 2033, 353, 14013, 1024, 29922, 8516, 29892, 623, 29922, 1311, 29901, 1583, 29889, 932, 29889, 657, 29918, 2492, 580, 13, 4706, 9920, 29879, 1839, 5504, 2033, 353, 14013, 623, 29922, 1311, 29901, 1583, 29889, 932, 29889, 657, 29918, 2492, 2141, 5504, 580, 13, 4706, 6473, 353, 1383, 514, 29898, 1311, 29892, 1180, 1338, 29922, 9006, 29879, 29897, 13, 4706, 289, 29903, 3950, 353, 26437, 29889, 3313, 29903, 3950, 29898, 26437, 29889, 5348, 29911, 2965, 1964, 1723, 13, 4706, 289, 29903, 3950, 29889, 2528, 29898, 6473, 29892, 29871, 29896, 29892, 26437, 29889, 5746, 29925, 9468, 29989, 23310, 29889, 9818, 29892, 29871, 29945, 1723, 13, 4706, 1583, 29889, 2697, 29903, 3950, 29898, 29890, 29903, 3950, 29897, 13, 4706, 9920, 29879, 1839, 572, 3174, 2033, 353, 4326, 1883, 580, 13, 4706, 6473, 29889, 3389, 14237, 715, 3174, 29889, 3389, 29918, 978, 580, 304, 1246, 263, 7084, 19737, 7079, 7790, 29876, 1495, 13, 4706, 6473, 29889, 3389, 14237, 623, 338, 263, 791, 1821, 1244, 29892, 322, 679, 29918, 2492, 580, 304, 679, 278, 1857, 7084, 29575, 29892, 2767, 580, 304, 2654, 1610, 7790, 29876, 1495, 2 ]
kaggle_cat-in-the-dat.py	ak110/applications	0	140022	#!/usr/bin/env python3 """Categorical Feature Encoding Challengeの実験用コード。""" import pathlib import numpy as np import pandas as pd import sklearn.metrics import pytoolkit as tk nfold = 5 params = { "objective": "binary", "metric": "auc", "learning_rate": 0.01, "nthread": -1, # "verbosity": -1, # "max_bin": 511, # "num_leaves": 31, # "min_data_in_leaf": 10, "feature_fraction": "sqrt", "bagging_freq": 0, # "max_depth": 4, } seeds = np.arange(5) + 1 # split_seeds = np.arange(5) + 1 data_dir = pathlib.Path("data/kaggle_cat-in-the-dat") models_dir = pathlib.Path(f"models/{pathlib.Path(__file__).stem}") app = tk.cli.App(output_dir=models_dir) logger = tk.log.get(__name__) @app.command() def train(): train_set = load_train_data() folds = tk.validation.split(train_set, nfold, split_seed=1) create_model().cv(train_set, folds) validate() @app.command() def validate(): train_set = load_train_data() folds = tk.validation.split(train_set, nfold, split_seed=1) model = create_model().load() oofp = model.predict_oof(train_set, folds) tk.notifications.post_evals( {"auc": sklearn.metrics.roc_auc_score(train_set.labels, oofp)} ) predict() @app.command() def predict(): # TODO: ValueError: Unknown values in column 'nom_8': {'2be51c868', '1f0a80e1d', 'ec337ce4c', 'a9bf3dc47'} test_set = load_test_data() model = create_model().load() pred = model.predict(test_set) df = pd.DataFrame() df["id"] = test_set.ids df["target"] = pred df.to_csv(models_dir / "submission.csv", index=False) def load_train_data(): df = pd.read_csv(data_dir / "train.csv") return _preprocess(df) def load_test_data(): df = pd.read_csv(data_dir / "test.csv") return _preprocess(df) def _preprocess(df): df["bin_0"] = tk.preprocessing.encode_binary(df["bin_0"], 1, 0) df["bin_1"] = tk.preprocessing.encode_binary(df["bin_1"], 1, 0) df["bin_2"] = tk.preprocessing.encode_binary(df["bin_2"], 1, 0) df["bin_3"] = tk.preprocessing.encode_binary(df["bin_3"], "T", "F") df["bin_4"] = tk.preprocessing.encode_binary(df["bin_4"], "Y", "N") df["ord_1"] = tk.preprocessing.encode_ordinal( df["ord_1"], ["Novice", "Contributor", "Expert", "Master", "Grandmaster"] ) df["ord_2"] = tk.preprocessing.encode_ordinal( df["ord_2"], ["Freezing", "Cold", "Warm", "Hot", "Boiling Hot", "Lava Hot"] ) df["ord_3"] = df["ord_3"].map(ord).astype(np.int32) df["ord_4"] = df["ord_4"].map(ord).astype(np.int32) df["ord_5"] = ( df["ord_5"].apply(lambda s: ord(s[0]) * 255 + ord(s[1])).astype(np.int32) ) df[["day_sin", "day_cos"]] = tk.preprocessing.encode_cyclic(df["day"], 1, 7 + 1) df[["month_sin", "month_cos"]] = tk.preprocessing.encode_cyclic( df["month"], 1, 12 + 1 ) if "target" in df.columns.values: return tk.data.Dataset( data=df.drop(columns=["target"]), labels=df["target"].values ) else: return tk.data.Dataset(data=df) def create_model(): return tk.pipeline.LGBModel( params=params, nfold=nfold, models_dir=models_dir, seeds=seeds, preprocessors=[tk.preprocessing.FeaturesEncoder()], ) if 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src/python/pymm/memoryresource.py	IBM/artemis	0	199388	<reponame>IBM/artemis # # Copyright [2021] [IBM Corporation] # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import pymmcore import os from .metadata import * from .check import methodcheck, paramcheck class TxHandler: ''' Transaction handler for persistent memory ''' def __init__(self, name:str, memory_view:memoryview, memory_resource: pymmcore.MemoryResource): self.name = name self.memory_view = memory_view self.memory_resource = memory_resource self.tx_log = [] # undo log def tx_add(self): #pymmcore.valgrind_trigger(1) self.__tx_add_undocopy() def tx_begin(self): #pymmcore.valgrind_trigger(1) self.__tx_add_undocopy() def tx_commit(self): #pymmcore.valgrind_trigger(2) self.__tx_commit_undocopy() def __tx_add_undocopy(self): ''' Start consistent transaction (very basic copy-off undo-log) ''' name = self.name + '-' + str(len(self.tx_log)) + '-tx' (tx_handle, mem) = self.memory_resource._MemoryResource_create_named_memory(name, len(self.memory_view)) if tx_handle is None: raise RuntimeError('tx_begin failed') self.tx_log.append((tx_handle, name)) # copy data, then persist mem[:]= self.memory_view self.memory_resource._MemoryResource_persist_memory_view(self.memory_view) print('tx_begin: copy of {}:{} to ({}, {})' .format(hex(pymmcore.memoryview_addr(self.memory_view)), len(self.memory_view), name, hex(pymmcore.memoryview_addr(mem)))) def __tx_commit_undocopy(self): ''' Commit consistent transaction ''' for tx_entry in self.tx_log: self.memory_resource.release_named_memory_by_handle(tx_entry[0]) self.memory_resource.erase_named_memory(tx_entry[1]) self.tx_log = [] print('tx_commit OK!') class MemoryReference(): ''' MemoryReference represents a contiguous region of memory associated with a variable value or metadata region ''' def __init__(self, internal_handle, memory_resource, memview, name, tx_handler: TxHandler): self.handle = internal_handle self.mr = memory_resource self.buffer = memview self.varname = name self.tx_handler = tx_handler if os.getenv('PYMM_DEBUG') != None: self._debug_level = int(os.getenv('PYMM_DEBUG')) else: self._debug_level = 0 if os.getenv('PYMM_USE_SW_TX') != None: self._use_sw_tx = (int(os.getenv('PYMM_USE_SW_TX')) > 0) else: self._use_sw_tx = False def __del__(self): if self._debug_level > 0: print("releasing named memory {} @ {}".format(self.varname, hex(pymmcore.memoryview_addr(self.buffer)))) self.persist() self.mr.release_named_memory_by_handle(self.handle) def addr(self): ''' For debugging. Get address of memory view ''' return (hex(pymmcore.memoryview_addr(self.buffer)), len(self.buffer)) def tx_begin(self, value_named_memory=None, check=True): ''' Add region of memory to transaction. This is called on metadata named memory, and passed the value named memory if it exists (i.e. if it is not contiguous) ''' if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) # sanity check - but not fool proof! if check: hdr = construct_header_from_buffer(self.buffer) if metadata_check_tx_bit(hdr, TXBIT_DIRTY): return # nested, don't do anything else: hdr = construct_header_on_buffer(self.buffer) metadata_set_dirty_tx_bit(hdr) if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_begin(value_named_memory) def tx_commit(self, value_named_memory=None): ''' Commit transaction for variable ''' hdr = construct_header_from_buffer(self.buffer) # if we are in a multi-variable transaction, then delay commit if metadata_check_tx_bit(hdr, TXBIT_MULTIVAR): return self.persist() if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) value_named_memory.persist() metadata_clear_dirty_tx_bit(hdr) if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_commit(value_named_memory) def tx_multivar_commit(self, value_named_memory=None): ''' Commit variable as part of multi-variable transaction ''' hdr = construct_header_from_buffer(self.buffer) hdr.version += 1 # we might not have dirtied the memory if not metadata_check_dirty_tx_bit(hdr): metadata_clear_tx_bit(hdr, TXBIT_MULTIVAR \| TXBIT_DIRTY) return # dirty bit is set if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_commit(value_named_memory) if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) value_named_memory.persist() metadata_clear_tx_bit(hdr, TXBIT_MULTIVAR \| TXBIT_DIRTY) def persist(self): ''' Flush any cached memory (normally for persistence) ''' self.mr._MemoryResource_persist_memory_view(self.buffer) def persist_offset(self, offset_bytes, len_bytes): ''' Flush region of cached memory (normally for persistence) ''' if offset_bytes + len_bytes > len(self.buffer): raise RuntimeError('persist_offset: invalid offset parameter') self.mr._MemoryResource_persist_memory_view(self.buffer[offset_bytes:offset_bytes+len_bytes]) class MemoryResource(pymmcore.MemoryResource): ''' MemoryResource represents a heap allocator and physical memory resources. It is backed by an MCAS store component and corresponds to a pool. ''' def __init__(self, name, size_mb, pmem_path, load_addr, backend=None, mm_plugin=None, force_new=False): self._named_memory = {} if os.getenv('PYMM_DEBUG') != None: debug_level = int(os.getenv('PYMM_DEBUG')) else: debug_level = 0 super().__init__(pool_name=name, size_mb=size_mb, pmem_path=pmem_path, load_addr=load_addr, backend=backend, mm_plugin=mm_plugin, force_new=force_new, debug_level=debug_level) # todo check for outstanding transactions all_items = super()._MemoryResource_get_named_memory_list() recoveries = [val for val in all_items if val.endswith('-tx')] if len(recoveries) > 0: raise RuntimeError('detected outstanding undo log condition: recovery not yet implemented') @methodcheck(types=[]) def list_items(self): all_items = super()._MemoryResource_get_named_memory_list() # exclude values return [val for val in all_items if not val.endswith('-value')] @methodcheck(types=[str,int,int,bool]) def create_named_memory(self, name, size, alignment=256, zero=False): ''' Create a contiguous piece of memory and name it ''' (handle, mview) = super()._MemoryResource_create_named_memory(name, size, alignment, zero) if handle == None: return None return MemoryReference(handle, self, mview, name, TxHandler(name, mview, self)) @methodcheck(types=[str]) def open_named_memory(self, name): ''' Open existing named memory ''' (handle, mview) = super()._MemoryResource_open_named_memory(name) if handle == None: return None return MemoryReference(handle, self, mview, name, TxHandler(name, mview, self)) @methodcheck(types=[MemoryReference]) def release_named_memory(self, ref : MemoryReference): ''' Release a contiguous piece of memory (i.e. unlock) ''' super()._MemoryResource_release_named_memory(ref.handle) @methodcheck(types=[int]) def release_named_memory_by_handle(self, handle): ''' Release a contiguous piece of memory (i.e. unlock) ''' super()._MemoryResource_release_named_memory(handle) @methodcheck(types=[str]) def erase_named_memory(self, name): ''' Erase a named-memory object from the memory resource ''' super()._MemoryResource_erase_named_memory(name) @methodcheck(types=[str,bytearray]) def put_named_memory(self, name, value): ''' Copy-based crash-consistent put of named memory value ''' if not isinstance(value, bytearray): raise RuntimeError('put_named_memory requires bytearray data') super()._MemoryResource_put_named_memory(name, value) @methodcheck(types=[str]) def get_named_memory(self, name): ''' Copy-based get of named memory value ''' return super()._MemoryResource_get_named_memory(name) def get_percent_used(self): ''' Get percentage of memory used in memory resource ''' return super()._MemoryResource_get_percent_used() def atomic_swap_names(self, a: str, b: str): ''' Swap the names of two named memories; must be released ''' return super()._MemoryResource_atomic_swap_names(a,b)	[ 1, 529, 276, 1112, 420, 29958, 8979, 29924, 29914, 442, 331, 275, 13, 29937, 29871, 13, 29937, 1678, 14187, 1266, 518, 29906, 29900, 29906, 29896, 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heat/engine/attributes.py	pshchelo/heat	0	133540	<reponame>pshchelo/heat # # 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 collections import warnings import six from heat.common.i18n import _ from heat.engine import constraints as constr from heat.engine import support from oslo_log import log as logging LOG = logging.getLogger(__name__) class Schema(constr.Schema): """ Simple schema class for attributes. Schema objects are serialisable to dictionaries following a superset of the HOT input Parameter schema using dict(). """ KEYS = ( DESCRIPTION, TYPE ) = ( 'description', 'type', ) CACHE_MODES = ( CACHE_LOCAL, CACHE_NONE ) = ( 'cache_local', 'cache_none' ) TYPES = ( STRING, MAP, LIST, ) = ( 'String', 'Map', 'List', ) def __init__(self, description=None, support_status=support.SupportStatus(), cache_mode=CACHE_LOCAL, type=None): self.description = description self.support_status = support_status self.cache_mode = cache_mode self.type = type def __getitem__(self, key): if key == self.DESCRIPTION: if self.description is not None: return self.description elif key == self.TYPE: if self.type is not None: return self.type.lower() raise KeyError(key) @classmethod def from_attribute(cls, schema_dict): """ Return a Property Schema corresponding to a Attribute Schema. """ if isinstance(schema_dict, cls): return schema_dict warnings.warn('<name>: <description> schema definition is deprecated. ' 'Use <name>: attributes.Schema(<description>) instead.', DeprecationWarning) return cls(schema_dict) def schemata(schema): """ Return dictionary of Schema objects for given dictionary of schemata. """ return dict((n, Schema.from_attribute(s)) for n, s in schema.items()) class Attribute(object): """ An Attribute schema. """ def __init__(self, attr_name, schema): """ Initialise with a name and description. :param attr_name: the name of the attribute :param schema: attribute schema """ self.name = attr_name self.schema = Schema.from_attribute(schema) def support_status(self): return self.schema.support_status def as_output(self, resource_name, template_type='cfn'): """ Return an Output schema entry for a provider template with the given resource name. :param resource_name: the logical name of the provider resource :param template_type: the template type to generate :returns: This attribute as a template 'Output' entry for cfn template and 'output' entry for hot template """ if template_type == 'hot': return { "value": '{"get_attr": ["%s", "%s"]}' % (resource_name, self.name), "description": self.schema.description } else: return { "Value": '{"Fn::GetAtt": ["%s", "%s"]}' % (resource_name, self.name), "Description": self.schema.description } class Attributes(collections.Mapping): """Models a collection of Resource Attributes.""" def __init__(self, res_name, schema, resolver): self._resource_name = res_name self._resolver = resolver self._attributes = Attributes._make_attributes(schema) self.reset_resolved_values() def reset_resolved_values(self): self._resolved_values = {} @staticmethod def _make_attributes(schema): return dict((n, Attribute(n, d)) for n, d in schema.items()) @staticmethod def as_outputs(resource_name, resource_class, template_type='cfn'): """ :param resource_name: logical name of the resource :param resource_class: resource implementation class :returns: The attributes of the specified resource_class as a template Output map """ schema = resource_class.attributes_schema attribs = Attributes._make_attributes(schema).items() return dict((n, att.as_output(resource_name, template_type)) for n, att in attribs) @staticmethod def schema_from_outputs(json_snippet): if json_snippet: return dict((k, Schema(v.get("Description"))) for k, v in json_snippet.items()) return {} def _validate_type(self, attrib, value): if attrib.schema.type == attrib.schema.STRING: if not isinstance(value, six.string_types): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.STRING}) elif attrib.schema.type == attrib.schema.LIST: if (not isinstance(value, collections.Sequence) or isinstance(value, six.string_types)): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.LIST}) elif attrib.schema.type == attrib.schema.MAP: if not isinstance(value, collections.Mapping): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.MAP}) def __getitem__(self, key): if key not in self: raise KeyError(_('%(resource)s: Invalid attribute %(key)s') % dict(resource=self._resource_name, key=key)) attrib = self._attributes.get(key) if attrib.schema.cache_mode == Schema.CACHE_NONE: return self._resolver(key) if key in self._resolved_values: return self._resolved_values[key] value = self._resolver(key) if value is not None: # validate the value against its type self._validate_type(attrib, value) # only store if not None, it may resolve to an actual value # on subsequent calls self._resolved_values[key] = value return value def __len__(self): return len(self._attributes) def __contains__(self, key): return key in self._attributes def __iter__(self): return iter(self._attributes) def __repr__(self): return ("Attributes for %s:\n\t" % self._resource_name + '\n\t'.join(six.itervalues(self._attributes))) def select_from_attribute(attribute_value, path): ''' Select an element from an attribute value. :param attribute_value: the attribute value. :param path: a list of path components to select from the attribute. :returns: the selected attribute component value. 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config.py	vanmo9/One-Minute-Pitches	0	1614051	<filename>config.py import os class Config: SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://mohamed:911@localhost/mo' # email configurations # We setup the SMTP server and configure the port to use the gmail SMTP server port. MAIL_SERVER = 'smtp.googlemail.com' MAIL_PORT = 587 # Then we set MAIL_USE_TLS configuration to true which enables a transport layer security to secure the emails when sending the emails. MAIL_USE_TLS = True SECRET_KEY=os.environ.get("SECRET_KEY") # MAIL_USERNAME and MAIL_PASSWORD are our email address and password to authenticate to the gmail SMTP server. We set them as environment variables. MAIL_USERNAME = os.environ.get("MAIL_USERNAME") MAIL_PASSWORD = <PASSWORD>("<PASSWORD>") pass class ProdConfig(Config): SQLALCHEMY_DATABASE_URI = os.environ.get("DATABASE_URL") class DevConfig(Config): DEBUG = True config_options = { 'development':DevConfig, 'production':ProdConfig }	[ 1, 529, 9507, 29958, 2917, 29889, 2272, 13, 5215, 2897, 29871, 13, 13, 1990, 12782, 29901, 13, 1678, 3758, 1964, 3210, 12665, 29979, 29918, 25832, 27982, 29918, 15551, 353, 525, 29272, 29974, 567, 29891, 9708, 29887, 29906, 597, 29885, 1148, 2795, 29901, 29929, 29896, 29896, 29992, 7640, 29914, 4346, 29915, 13, 1678, 13, 13, 13, 1678, 396, 29871, 4876, 22920, 13, 13, 1678, 396, 1334, 6230, 278, 13766, 3557, 1923, 322, 10822, 278, 2011, 304, 671, 278, 330, 2549, 13766, 3557, 1923, 2011, 29889, 29871, 13, 1678, 14861, 6227, 29918, 18603, 353, 525, 3844, 9392, 29889, 3608, 2549, 29889, 510, 29915, 13, 1678, 14861, 6227, 29918, 15082, 353, 29871, 29945, 29947, 29955, 13, 1678, 396, 1987, 591, 731, 14861, 6227, 29918, 17171, 29918, 29911, 8547, 5285, 304, 1565, 607, 28936, 263, 8608, 7546, 6993, 304, 11592, 278, 24609, 746, 9348, 278, 24609, 29889, 13, 1678, 14861, 6227, 29918, 17171, 29918, 29911, 8547, 353, 5852, 13, 13, 1678, 3725, 22245, 29911, 29918, 10818, 29922, 359, 29889, 21813, 29889, 657, 703, 1660, 22245, 29911, 29918, 10818, 1159, 13, 1678, 396, 14861, 6227, 29918, 11889, 5813, 322, 14861, 6227, 29918, 25711, 17013, 526, 1749, 4876, 3211, 322, 4800, 304, 15585, 403, 304, 278, 330, 2549, 13766, 3557, 1923, 29889, 1334, 731, 963, 408, 5177, 3651, 29889, 13, 1678, 14861, 6227, 29918, 11889, 5813, 353, 2897, 29889, 21813, 29889, 657, 703, 1529, 6227, 29918, 11889, 5813, 1159, 13, 1678, 14861, 6227, 29918, 25711, 17013, 353, 529, 25711, 17013, 29958, 28945, 25711, 17013, 29958, 1159, 13, 13, 1678, 1209, 13, 13, 13, 1990, 1019, 29881, 3991, 29898, 3991, 1125, 13, 1678, 3758, 1964, 3210, 12665, 29979, 29918, 25832, 27982, 29918, 15551, 353, 2897, 29889, 21813, 29889, 657, 703, 25832, 27982, 29918, 4219, 1159, 13, 13, 13, 1990, 9481, 3991, 29898, 3991, 1125, 13, 13, 1678, 21681, 353, 5852, 13, 13, 2917, 29918, 6768, 353, 426, 29871, 13, 29915, 25431, 2396, 16618, 3991, 29892, 13, 29915, 24601, 2396, 1184, 29881, 3991, 13, 29913, 2 ]
cogs/wallet.py	virtualCrypto-discord/VCrypto-Utilities	0	186621	from discord.ext import commands from bot import MyBot from virtualcrypto import AsyncVirtualCryptoClient class Wallet(commands.Cog): def __init__(self, bot: MyBot): self.bot = bot self.vcrypto: AsyncVirtualCryptoClient = self.bot.vcrypto @commands.command(aliases=['bal', 'money']) @commands.has_permissions(manage_guild=True) async def balance(self, ctx: commands.Context): currency = await self.vcrypto.get_currency_by_guild(ctx.guild.id) if currency is None: await ctx.send("このサーバーでは通貨は作成されていません。") return balance = await self.bot.get_balance(ctx.guild.id) if balance is None: value = 0 else: value = balance.amount await ctx.send(f"{value}{currency.unit}を持っています。") def setup(bot): return bot.add_cog(Wallet(bot))	[ 1, 515, 2313, 536, 29889, 1062, 1053, 8260, 13, 3166, 9225, 1053, 1619, 29933, 327, 13, 3166, 6901, 29883, 17929, 1053, 20688, 21287, 29907, 17929, 4032, 13, 13, 13, 1990, 5260, 1026, 29898, 26381, 29889, 29907, 468, 1125, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 9225, 29901, 1619, 29933, 327, 1125, 13, 4706, 1583, 29889, 7451, 353, 9225, 13, 4706, 1583, 29889, 7071, 17929, 29901, 20688, 21287, 29907, 17929, 4032, 353, 1583, 29889, 7451, 29889, 7071, 17929, 13, 13, 1678, 732, 26381, 29889, 6519, 29898, 2606, 2129, 29922, 1839, 5521, 742, 525, 29885, 4992, 11287, 13, 1678, 732, 26381, 29889, 5349, 29918, 17858, 6847, 29898, 1171, 482, 29918, 2543, 789, 29922, 5574, 29897, 13, 1678, 7465, 822, 17346, 29898, 1311, 29892, 12893, 29901, 8260, 29889, 2677, 1125, 13, 4706, 27550, 353, 7272, 1583, 29889, 7071, 17929, 29889, 657, 29918, 26095, 29918, 1609, 29918, 2543, 789, 29898, 13073, 29889, 2543, 789, 29889, 333, 29897, 13, 4706, 565, 27550, 338, 6213, 29901, 13, 9651, 7272, 12893, 29889, 6717, 703, 30589, 30199, 30615, 30185, 30517, 30185, 30499, 30449, 30768, 235, 181, 171, 30449, 30732, 30494, 30566, 30553, 30466, 30298, 30441, 31095, 30389, 30267, 1159, 13, 9651, 736, 13, 4706, 17346, 353, 7272, 1583, 29889, 7451, 29889, 657, 29918, 5521, 749, 29898, 13073, 29889, 2543, 789, 29889, 333, 29897, 13, 4706, 565, 17346, 338, 6213, 29901, 13, 9651, 995, 353, 29871, 29900, 13, 4706, 1683, 29901, 13, 9651, 995, 353, 17346, 29889, 14506, 13, 13, 4706, 7272, 12893, 29889, 6717, 29898, 29888, 29908, 29912, 1767, 1157, 26095, 29889, 5441, 29913, 30396, 31695, 30665, 30466, 30298, 30441, 30427, 30267, 1159, 13, 13, 13, 1753, 6230, 29898, 7451, 1125, 13, 1678, 736, 9225, 29889, 1202, 29918, 29883, 468, 29898, 29956, 284, 1026, 29898, 7451, 876, 13, 2 ]
CH10/CH10c_Faster_Transformer_model_serving_using_Tensorflow_Extended/main.py	sharif618/Mastering-Transformers	155	173997	<filename>CH10/CH10c_Faster_Transformer_model_serving_using_Tensorflow_Extended/main.py import uvicorn from fastapi import FastAPI from pydantic import BaseModel from transformers import BertTokenizerFast, BertConfig import requests import json import numpy as np tokenizer = BertTokenizerFast.from_pretrained("nateraw/bert-base-uncased-imdb") config = BertConfig.from_pretrained("nateraw/bert-base-uncased-imdb") class DataModel(BaseModel): text: str app = FastAPI() @app.post("/sentiment") async def sentiment_analysis(input_data: DataModel): print(input_data.text) tokenized_sentence = [dict(tokenizer(input_data.text))] data_send = {"instances": tokenized_sentence} response = requests.post("http://localhost:8501/v1/models/bert:predict", data=json.dumps(data_send)) result = np.abs(json.loads(response.text)["predictions"][0]) return {"sentiment": config.id2label[np.argmax(result)]} if __name__ == '__main__': uvicorn.run('main:app', workers=1)	[ 1, 529, 9507, 29958, 3210, 29896, 29900, 29914, 3210, 29896, 29900, 29883, 29918, 29943, 1901, 29918, 13372, 261, 29918, 4299, 29918, 643, 1747, 29918, 4746, 29918, 29911, 6073, 1731, 29918, 5647, 2760, 29914, 3396, 29889, 2272, 13, 5215, 318, 26311, 1398, 13, 3166, 5172, 2754, 1053, 23786, 8787, 13, 3166, 282, 2941, 7716, 1053, 7399, 3195, 13, 3166, 4327, 414, 1053, 16662, 6066, 3950, 29943, 579, 29892, 16662, 3991, 13, 5215, 7274, 13, 5215, 4390, 13, 5215, 12655, 408, 7442, 13, 13, 6979, 3950, 353, 16662, 6066, 3950, 29943, 579, 29889, 3166, 29918, 1457, 3018, 1312, 703, 29876, 1008, 1450, 29914, 2151, 29899, 3188, 29899, 4661, 1463, 29899, 326, 2585, 1159, 13, 2917, 353, 16662, 3991, 29889, 3166, 29918, 1457, 3018, 1312, 703, 29876, 1008, 1450, 29914, 2151, 29899, 3188, 29899, 4661, 1463, 29899, 326, 2585, 1159, 13, 13, 13, 1990, 3630, 3195, 29898, 5160, 3195, 1125, 13, 1678, 1426, 29901, 851, 13, 13, 932, 353, 23786, 8787, 580, 13, 13, 29992, 932, 29889, 2490, 11974, 18616, 2073, 1159, 13, 12674, 822, 19688, 29918, 15916, 29898, 2080, 29918, 1272, 29901, 3630, 3195, 1125, 13, 1678, 1596, 29898, 2080, 29918, 1272, 29889, 726, 29897, 13, 1678, 5993, 1891, 29918, 18616, 663, 353, 518, 8977, 29898, 6979, 3950, 29898, 2080, 29918, 1272, 29889, 726, 28166, 13, 1678, 848, 29918, 6717, 353, 8853, 2611, 2925, 1115, 5993, 1891, 29918, 18616, 663, 29913, 13, 1678, 2933, 353, 7274, 29889, 2490, 703, 1124, 597, 7640, 29901, 29947, 29945, 29900, 29896, 29914, 29894, 29896, 29914, 9794, 29914, 2151, 29901, 27711, 613, 848, 29922, 3126, 29889, 29881, 17204, 29898, 1272, 29918, 6717, 876, 13, 1678, 1121, 353, 7442, 29889, 6897, 29898, 3126, 29889, 18132, 29898, 5327, 29889, 726, 29897, 3366, 27711, 1080, 3108, 29961, 29900, 2314, 13, 1678, 736, 8853, 18616, 2073, 1115, 2295, 29889, 333, 29906, 1643, 29961, 9302, 29889, 1191, 3317, 29898, 2914, 4638, 29913, 13, 13, 13, 361, 4770, 978, 1649, 1275, 525, 1649, 3396, 1649, 2396, 29871, 13, 268, 318, 26311, 1398, 29889, 3389, 877, 3396, 29901, 932, 742, 17162, 29922, 29896, 29897, 29871, 13, 2 ]
flat_sales/flat_sales/doctype/flat_payment_schedule/test_flat_payment_schedule.py	swamedh/flat_sales	1	124961	# Copyright (c) 2013, deepak and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest test_records = frappe.get_test_records('Flat Payment Schedule') class TestFlatPaymentSchedule(unittest.TestCase): pass	[ 1, 396, 14187, 1266, 313, 29883, 29897, 29871, 29906, 29900, 29896, 29941, 29892, 6483, 557, 322, 2866, 1091, 29560, 13, 29937, 2823, 19405, 29889, 3945, 13, 3166, 4770, 29888, 9130, 1649, 1053, 29104, 29918, 20889, 1338, 13, 13, 5215, 5227, 4798, 13, 5215, 443, 27958, 13, 13, 1688, 29918, 3757, 4339, 353, 5227, 4798, 29889, 657, 29918, 1688, 29918, 3757, 4339, 877, 29943, 5066, 14617, 358, 1102, 11272, 1495, 13, 13, 1990, 4321, 29943, 5066, 15467, 358, 4504, 11272, 29898, 348, 27958, 29889, 3057, 8259, 1125, 13, 12, 3364, 13, 2 ]
9020/main.py	yeonghoey/baekjoon	1	21328	MAX_N = 10000 + 1 isprime = [True] * (MAX_N) isprime[0] = False isprime[1] = False for i in range(2, MAX_N): if not isprime[i]: continue for j in range(i+i, MAX_N, i): isprime[j] = False T = int(input()) for _ in range(T): n = int(input()) for i in range(n//2, 1, -1): if isprime[i] and isprime[n-i]: print('%d %d' % (i, n-i)) break	[ 1, 18134, 29918, 29940, 353, 29871, 29896, 29900, 29900, 29900, 29900, 718, 29871, 29896, 13, 275, 10080, 353, 518, 5574, 29962, 334, 313, 12648, 29918, 29940, 29897, 13, 275, 10080, 29961, 29900, 29962, 353, 7700, 13, 275, 10080, 29961, 29896, 29962, 353, 7700, 13, 13, 1454, 474, 297, 3464, 29898, 29906, 29892, 18134, 29918, 29940, 1125, 13, 1678, 565, 451, 338, 10080, 29961, 29875, 5387, 13, 4706, 6773, 13, 1678, 363, 432, 297, 3464, 29898, 29875, 29974, 29875, 29892, 18134, 29918, 29940, 29892, 474, 1125, 13, 4706, 338, 10080, 29961, 29926, 29962, 353, 7700, 13, 13, 29911, 353, 938, 29898, 2080, 3101, 13, 1454, 903, 297, 3464, 29898, 29911, 1125, 13, 1678, 302, 353, 938, 29898, 2080, 3101, 13, 1678, 363, 474, 297, 3464, 29898, 29876, 458, 29906, 29892, 29871, 29896, 29892, 448, 29896, 1125, 13, 4706, 565, 338, 10080, 29961, 29875, 29962, 322, 338, 10080, 29961, 29876, 29899, 29875, 5387, 13, 9651, 1596, 877, 29995, 29881, 1273, 29881, 29915, 1273, 313, 29875, 29892, 302, 29899, 29875, 876, 13, 9651, 2867, 13, 2 ]
dandeliondiary/household/tests.py	amberdiehl/dandeliondiary_project	0	56233	<gh_stars>0 import datetime import json from django.core.exceptions import ObjectDoesNotExist from django.test import Client from django.test import TestCase from django.urls import reverse from django.contrib.auth.models import User, Group from account.models import Account from core.models import BudgetModel, RigType, UseType, IncomeType, VehicleMake, VehicleModel, VehicleType, \ VehiclePurchaseType, VehicleStatus, Satisfaction, BudgetGroup, BudgetCategory from compare.models import MyBudgetGroup, MyBudgetCategory from .models import RVHousehold, Member, HouseholdMembers, HouseholdInvite, Vehicle from .forms import MyInfoForm, HouseholdProfileForm, InviteMemberForm, VehicleForm # For now, all test cases for household are defined in one class class HouseholdTest(TestCase): @classmethod def setUpClass(cls): """ Set up initial test data :return: """ """ Create core model objects needed for household objects """ try: budget_model = BudgetModel.objects.get(budget_model='RVHousehold') except ObjectDoesNotExist: budget_model = BudgetModel() budget_model.budget_model = 'RVHousehold' budget_model.budget_model_description = 'Budget model for RV community' budget_model.save() rig = RigType() rig.rig_type = 'Motorhome' rig.rig_type_description = 'Motorhome' rig.save() use = UseType() use.use_type = 'Full-time' use.use_type_description = 'Full-time' use.save() income = IncomeType() income.income_type = 'Self-employed' income.income_type_description = 'Self-employed' income.save() make = VehicleMake() make.filter = 'rv' make.make = 'Tiffin' make.save() model = VehicleModel() model.make = make model.model_name = 'Allegro Bus' model.save() v_type = VehicleType() v_type.filter = 'rv' v_type.type = 'Motorhome' v_type.type_description = 'Your RV is a motorhome.' v_type.save() purchase = VehiclePurchaseType() purchase.purchase_type = 'Used-Private' purchase.purchase_description = 'Purchased directly from an individual.' purchase.save() status = VehicleStatus() status.vehicle_status = 'Owner' status.vehicle_status_description = 'Still owned by me.' status.save() satisfaction = Satisfaction() satisfaction.satisfaction_index = 5 satisfaction.satisfaction_description = 'Love it!' satisfaction.satisfaction_definition = 'Would definitely purchase again.' satisfaction.save() """ Create auth group for forum permissions """ group = Group() group.name = 'forum_customers' group.save() """ Create template budget objects """ budget_group = BudgetGroup() budget_group.budget_model = budget_model budget_group.group_name = 'Health Care' budget_group.group_description = 'Expenses associated with staying well' budget_group.group_list_order = 1 budget_group.group_perma_key = 'perma-key-value' budget_group.save() category = BudgetCategory() category.budget_group = budget_group category.category = 'Insurance' category.category_perma_key = 'perma-key-value' category.save() """ Create users and associated objects for dashboard test cases. """ # 1. Just created account, has not setup household or provided personal details User.objects.create_user('alex', email='<EMAIL>', password='password') # 2. New account, only has personal details user = User.objects.create_user('barney', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4393' member.owner = True member.newsletter = True member.save() user.first_name = 'Barney' user.last_name = 'Balderdash' user.save() # 3. New account, has provided personal details and household information, but no vehicles user = User.objects.create_user('chuck', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4401' member.owner = True member.newsletter = True member.save() user.first_name = 'Charles' user.last_name = 'Carter' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1950 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() + datetime.timedelta(days=1000) household.subscription_status = 'Beta' household.start_year = 2000 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 1 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # 4. Expired account user = User.objects.create_user('dave', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4402' member.owner = True member.newsletter = True member.save() user.first_name = 'David' user.last_name = 'Davis' user.save() household = RVHousehold() household.members_in_household = 1 household.oldest_birthyear = 1951 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() - datetime.timedelta(days=1) household.subscription_status = 'Beta' household.start_year = 1985 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 0 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() """ Create users and associated objects for my info test cases. """ User.objects.create_user('eric', email='<EMAIL>', password='password') """ Create users and associated objects for household test cases. """ User.objects.create_user('fred', email='<EMAIL>', password='password') """ Create users and associated objects for household member test cases. """ # Expired membership user = User.objects.create_user('greg', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4410' member.owner = True member.newsletter = True member.save() user.first_name = 'Greg' user.last_name = 'Gardiner' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1954 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() - datetime.timedelta(days=1) household.subscription_status = 'Beta' household.start_year = 1982 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 1 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Current membership user = User.objects.create_user('harry', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4411' member.owner = True member.newsletter = True member.save() user.first_name = 'Harry' user.last_name = 'Hughes' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1951 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() + datetime.timedelta(days=1000) household.subscription_status = 'Beta' household.start_year = 1980 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 2 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Member of harry's household user = User.objects.create_user('annie', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-5511' member.owner = False member.newsletter = True member.save() user.first_name = 'Annie' user.last_name = 'Arneau-Hughes' user.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Random invites for tests invite = HouseholdInvite() invite.invite_household = household invite.email = '<EMAIL>' invite.security_code = '1234567' invite.invite_date = datetime.datetime.now().date() invite.save() invite = HouseholdInvite() invite.invite_household = household invite.email = '<EMAIL>' invite.security_code = '1234567' invite.invite_date = datetime.datetime.now().date() invite.save() @classmethod def tearDownClass(cls): pass """ Test the models """ def test_models(self): budget_model = BudgetModel.objects.get(budget_model='RVHousehold') self.assertEquals(str(budget_model), 'RVHousehold') rig = RigType.objects.get(rig_type='Motorhome') self.assertEquals(str(rig), 'Motorhome') use = UseType.objects.get(use_type='Full-time') self.assertEquals(str(use), 'Full-time') income = IncomeType.objects.get(income_type='Self-employed') self.assertEquals(str(income), 'Self-employed') make = VehicleMake.objects.get(make='Tiffin') self.assertEquals(str(make), 'Tiffin') v_model = VehicleModel.objects.get(model_name='Allegro Bus') self.assertEquals(str(v_model), 'Allegro Bus') v_type = VehicleType.objects.get(type='Motorhome') self.assertEquals(str(v_type), 'Motorhome') purchase = VehiclePurchaseType.objects.get(purchase_type='Used-Private') self.assertEquals(str(purchase), 'Used-Private') status = VehicleStatus.objects.get(vehicle_status='Owner') self.assertEquals(str(status), 'Owner') satisfaction = Satisfaction.objects.get(satisfaction_index=5) self.assertEquals(str(satisfaction), 'Love it!') member = Member.objects.get(phone_number='415-413-4393') self.assertEquals(str(member), '415-413-4393') household = RVHousehold.objects.get(pk=1) self.assertEquals(str(household), '1') household_member = HouseholdMembers.objects.all()[0] self.assertEquals(str(household_member), 'Member key: {} Household key: {}'.format( household_member.member_account, household_member.household_membership)) budget_group = BudgetGroup.objects.get(group_name='Health Care') self.assertEquals(str(budget_group), 'Health Care') category = BudgetCategory.objects.get(category='Insurance') self.assertEquals(str(category), 'Insurance') invite = HouseholdInvite.objects.get(email='<EMAIL>') self.assertEquals(str(invite), '<EMAIL>') """ Test various states and conditions for the dashboard view """ def test_dashboard_new_user(self): """ New user, hasn't setup personal information or household yet :return: """ self.client = Client() logged_in = self.client.login(username='alex', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Tags indicating need for personal info and household information should exist self.assertEquals(summary['need_myinfo'], 'Please take a moment to provide your name and a phone number.') self.assertEquals(summary['need_household'], 'To activate your free trial, please setup your household information.') # And other tags should not exist until after those things are provided with self.assertRaises(KeyError): test = summary['need_vehicles'] test = summary['free_trial'] def test_dashboard_new_user_personal_info_provided(self): """ New user, has setup personal information but not household yet :return: """ self.client = Client() logged_in = self.client.login(username='barney', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for Barney should exist self.assertEquals(summary['first_name'], 'Barney') self.assertEquals(summary['last_name'], 'Balderdash') self.assertEquals(summary['phone_number'], '415-413-4393') # Household info is still missing self.assertEquals(summary['need_household'], 'To activate your free trial, please setup your household information.') # And other tags should not exist until after those things are provided with self.assertRaises(KeyError): test = summary['need_vehicles'] test = summary['free_trial'] def test_dashboard_new_user_with_household_setup(self): """ New user, has provided personal info and household :return: """ self.client = Client() logged_in = self.client.login(username='chuck', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for Charles should exist self.assertEquals(summary['first_name'], 'Charles') self.assertEquals(summary['last_name'], 'Carter') self.assertEquals(summary['phone_number'], '415-413-4401') # Household info should exist self.assertEquals(summary['start_year'], 2000) self.assertEquals(summary['pets'], 1) # And now info is displayed about subscription and vehicles self.assertEquals(summary['need_vehicles'][0:14], 'Please specify') self.assertEquals(summary['free_trial'][0:6], 'Thanks') def test_dashboard_expired_subscription(self): """ Expired subscription :return: """ self.client = Client() logged_in = self.client.login(username='dave', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for David should exist self.assertEquals(summary['first_name'], 'David') self.assertEquals(summary['last_name'], 'Davis') self.assertEquals(summary['phone_number'], '415-413-4402') # Household info should exist self.assertEquals(summary['start_year'], 1985) self.assertEquals(summary['pets'], 0) # And now info is displayed about subscription and vehicles self.assertEquals(summary['need_vehicles'][0:14], 'Please specify') self.assertEquals(summary['expired'][0:30], 'Your subscription has expired.') """ Test my_info view and form """ def test_my_info_view(self): self.client = Client() logged_in = self.client.login(username='eric', password='password') self.assertEquals(logged_in, True) data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } response = self.client.post(reverse('household:my_info'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='eric') account = Account.objects.get(user=user) member = Member.objects.get(account=account) self.assertEquals(user.last_name, 'Emmerson') self.assertEquals(member.phone_number, '415-413-4403') def test_my_info_form_empty(self): data = { 'first_name': '', 'last_name': '', 'phone_number': '', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_bad_names(self): data = { 'first_name': '$', 'last_name': 'E', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_bad_phone_number(self): data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '555-555-5555', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_valid(self): data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertTrue(form.is_valid()) """ Test household_profile view and form """ def test_household_profile_view(self): self.client = Client() logged_in = self.client.login(username='fred', password='password') self.assertEquals(logged_in, True) rig= RigType.objects.get(rig_type='Motorhome') use = UseType.objects.get(use_type='Full-time') income = IncomeType.objects.get(income_type='Self-employed') # Test create data = { 'start_year': 1992, 'members_in_household': 2, 'oldest_birthyear': 1952, 'rig_type': rig.pk, 'use_type': use.pk, 'income_type': income.pk, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 1, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } response = self.client.post(reverse('household:maintain_household'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='fred') account = Account.objects.get(user=user) household = RVHousehold.objects.get(householdmembers__member_account=account) self.assertEquals(household.start_year, 1992) my_group = MyBudgetGroup.objects.get(my_group_name='Health Care') self.assertEquals(str(my_group), 'Health Care') my_category = MyBudgetCategory.objects.get(my_category_name='Insurance') self.assertEquals(str(my_category), 'Insurance') # Test update data = { 'start_year': 1994, 'members_in_household': 2, 'oldest_birthyear': 1952, 'rig_type': rig.pk, 'use_type': use.pk, 'income_type': income.pk, 'pets_dog': 1, 'pets_cat': 1, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } response = self.client.post(reverse('household:maintain_household'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='fred') account = Account.objects.get(user=user) household = RVHousehold.objects.get(householdmembers__member_account=account) self.assertEquals(household.start_year, 1994) def test_household_profile_form_empty(self): data = { 'start_year': 0, 'members_in_household': 0, 'oldest_birthyear': 0, 'rig_type': 0, 'use_type': 0, 'income_type': 0, 'pets_dog': 0, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_need_rig_use_income(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 0, 'use_type': 0, 'income_type': 0, 'pets_dog': 0, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_too_many_pets(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 11, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_invalid_children_status(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 0, 'children': 1, 'children_status': 0, # <-- 'grandchildren': 1, 'grandchildren_status': 0 # <-- } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_invalid_children_count(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 0, 'children': 0, # <-- 'children_status': 1, 'grandchildren': 0, # <-- 'grandchildren_status': 1 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_valid(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 1, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertTrue(form.is_valid()) """ Test household_members view, form, and ajax calls """ def test_household_members_view(self): self.client = Client() # Redirect for expired subscription logged_in = self.client.login(username='greg', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:maintain_members'), follow=True, secure=True) chain = response.redirect_chain[0] self.assertEquals(chain[0], '/household/settings') self.assertEquals(chain[1], 302) self.assertEquals(response.status_code, 200) # Redirect because non-owner cannot invite other members logged_in = self.client.login(username='annie', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:maintain_members'), follow=True, secure=True) chain = response.redirect_chain[0] self.assertEquals(chain[0], '/household/settings') self.assertEquals(chain[1], 302) self.assertEquals(response.status_code, 200) # Test invitation logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) data = { 'email': '<EMAIL>' } response = self.client.post(reverse('household:maintain_members'), data=data, secure=True) self.assertEqual(response.status_code, 200) current = response.context['current'].filter(username='annie') self.assertEquals(len(current), 1) pending = response.context['pending'].filter(email='<EMAIL>') self.assertEquals(len(pending), 1) invite = HouseholdInvite.objects.get(email='<EMAIL>') self.assertEquals(str(invite), '<EMAIL>') def test_member_invite_form_email_already_exists_account(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_already_exists_invite(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_invalid(self): data = { 'email': 'nono.nono.com' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_valid(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertTrue(form.is_valid()) def test_ajax_delete_invite(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Invalid data tests data0 = { 'id': '$', # <-- 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data0, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') data1 = { 'id': 99999999, 'user': '$rie9%!' # <-- } response = self.client.post('/household/ajax/delete-invite/', data=data1, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Invalid id; does not exist data2 = { 'id': 99999999, 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data2, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Validate user name provided is same as user name logged in data3 = { 'id': 99999999, 'user': 'greg' } response = self.client.post('/household/ajax/delete-invite/', data=data3, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') invite = HouseholdInvite.objects.get(email='<EMAIL>') data = { 'id': invite.pk, 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') invite = HouseholdInvite.objects.filter(email='<EMAIL>') self.assertEquals(len(invite), 0) def test_ajax_change_member_status(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Invalid data tests data0 = { 'username': 'annie', 'user': '$', # <-- 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data0, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') data1 = { 'username': 'annie', 'user': 'harry', 'status': 'Off' # <-- } response = self.client.post('/household/ajax/change-member-status/', data=data1, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # User (username) does not exist data2 = { 'username': 'ann-marie', 'user': 'harry', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data2, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # User (username) is not member of given household (user) data3 = { 'username': 'annie', 'user': 'greg', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data3, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Deactivate user (username) account data_a = { 'username': 'annie', 'user': 'harry', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data_a, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') user = User.objects.get(username='annie') self.assertFalse(user.is_active) # Reactivate user (username) account data_b = { 'username': 'annie', 'user': 'harry', 'status': 'Activate' } response = self.client.post('/household/ajax/change-member-status/', data=data_b, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') user = User.objects.get(username='annie') self.assertTrue(user.is_active) """ Test household_vehicles view, form, and ajax calls """ def test_household_vehicles_view(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Setup by getting objects for foreign keys vehicle_type = VehicleType.objects.get(type='Motorhome') vehicle_make = VehicleMake.objects.get(make='Tiffin') vehicle_model = VehicleModel.objects.get(model_name='Allegro Bus') purchase_type = VehiclePurchaseType.objects.get(purchase_type='Used-Private') satisfaction = Satisfaction.objects.get(satisfaction_index=5) vehicle_status = VehicleStatus.objects.get(vehicle_status='Owner') # Data to create vehicle record data = { 'form-TOTAL_FORMS': '2', 'form-INITIAL_FORMS': '0', 'form-MAX_NUM_FORMS': '', 'form-0-type': vehicle_type, 'form-0-make': vehicle_make, 'form-0-model_name': vehicle_model, 'form-0-model_year': 2006, 'form-0-fuel': 'Diesel', 'form-0-purchase_year': 2015, 'form-0-purchase_price': 50000.00, 'form-0-purchase_type': purchase_type, 'form-0-finance': 'Cash', 'form-0-satisfaction': satisfaction, 'form-0-status': vehicle_status, 'form-0-gone_year': 0 } response = self.client.post(reverse('household:maintain_vehicles'), data=data, secure=True) self.assertEqual(response.status_code, 200) def test_vehicle_form_empty(self): data = { 'type': 0, 'make': 0, 'model_name': 0, 'model_year': 0, 'fuel': 0, 'purchase_year': 0, 'purchase_price': 0, 'purchase_type': 0, 'finance': 0, 'satisfaction': 0, 'status': 0, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_model_year(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 1800, 'fuel': 1, 'purchase_year': 2016, 'purchase_price': 50.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) data['model_year'] = 2080 form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_purchase_year(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2016, 'fuel': 1, 'purchase_year': 1900, # <-- too far in the past 'purchase_price': 50.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) data['purchase_year'] = 2080 # <-- too far into the future form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_purchase_price(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2016, 'fuel': 1, 'purchase_year': 2016, 'purchase_price': .99, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_gone_year_in_future(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2012, 'fuel': 1, 'purchase_year': 2014, 'purchase_price': 50000.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 2080 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_valid(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2012, 'fuel': 1, 'purchase_year': 2014, 'purchase_price': 50000.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertTrue(form.is_valid()) def test_ajax_makes_by_type(self): vehicle_type = VehicleType.objects.get(type='Motorhome') response = self.client.get('/household/ajax/makes-by-type/' + str(vehicle_type.pk) + '/', secure=True) result = json.loads(response.content) make = VehicleMake.objects.filter(filter=vehicle_type.filter)[0] self.assertTrue(str(make.pk) in result) def test_ajax_models_by_make(self): vehicle_make = VehicleMake.objects.get(make='Tiffin') response = self.client.get('/household/ajax/models-by-make/' + str(vehicle_make.pk) + '/', secure=True) result = json.loads(response.content) model = VehicleModel.objects.filter(make=vehicle_make)[0] self.assertTrue(str(model.pk) in result) def test_ajax_add_make(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) vehicle_type = VehicleType.objects.get(type='Motorhome') response = self.client.post('/household/ajax/add-make/' + str(vehicle_type.pk) + '/JayCo/', secure=True) result = json.loads(response.content) self.assertEquals(result['status'], 'OK') make = VehicleMake.objects.get(pk=result['key']) self.assertEquals(make.make, 'Jayco') def test_ajax_add_model(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) make = VehicleMake.objects.get(make='Tiffin') response = self.client.post('/household/ajax/add-model/' + str(make.pk) + '/Phaeton/', secure=True) result = json.loads(response.content) self.assertEquals(result['status'], 'OK') vehicle_model = VehicleModel.objects.get(pk=result['key']) self.assertEquals(vehicle_model.model_name, 'Phaeton')	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 5215, 12865, 13, 5215, 4390, 13, 13, 3166, 9557, 29889, 3221, 29889, 11739, 29879, 1053, 4669, 25125, 3664, 1252, 391, 13, 13, 3166, 9557, 29889, 1688, 1053, 12477, 13, 3166, 9557, 29889, 1688, 1053, 4321, 8259, 13, 3166, 9557, 29889, 26045, 1053, 11837, 13, 13, 3166, 9557, 29889, 21570, 29889, 5150, 29889, 9794, 1053, 4911, 29892, 6431, 13, 3166, 3633, 29889, 9794, 1053, 16535, 13, 3166, 7136, 29889, 9794, 1053, 7038, 657, 3195, 29892, 390, 335, 1542, 29892, 4803, 1542, 29892, 512, 2763, 1542, 29892, 8980, 29882, 2512, 9984, 29892, 8980, 29882, 2512, 3195, 29892, 8980, 29882, 2512, 1542, 29892, 320, 13, 1678, 8980, 29882, 2512, 29925, 27574, 1542, 29892, 8980, 29882, 2512, 5709, 29892, 12178, 4492, 2467, 29892, 7038, 657, 4782, 29892, 7038, 657, 10900, 13, 3166, 7252, 29889, 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Language Proficiency (Python)/ginortS.py	Muntaha-Islam0019/HackerRank-Solutions	0	194929	<reponame>Muntaha-Islam0019/HackerRank-Solutions import string print(*sorted(input(), key=(string.ascii_letters + '1357902468').index), sep='')	[ 1, 529, 276, 1112, 420, 29958, 29924, 1657, 25613, 29899, 29902, 2536, 314, 29900, 29900, 29896, 29929, 29914, 29950, 28940, 29934, 804, 29899, 13296, 17925, 13, 5215, 1347, 13, 2158, 10456, 24582, 29898, 2080, 3285, 1820, 7607, 1807, 29889, 294, 18869, 29918, 1026, 2153, 718, 525, 29896, 29941, 29945, 29955, 29929, 29900, 29906, 29946, 29953, 29947, 2824, 2248, 511, 16345, 2433, 1495, 13, 2 ]
mingus/core/views.py	brixtonasias/sk-mingus	1	79133	from django.utils import simplejson from django.http import HttpResponse from django.shortcuts import get_object_or_404 from basic.blog.models import Post, Category from django.conf import settings from django import http from django.template import loader, Context from django_proxy.models import Proxy from django.views.generic import list_detail from basic.blog.models import Settings from view_cache_utils import cache_page_with_prefix from contact_form.views import contact_form as django_contact_form from contact_form.forms import ContactForm from honeypot.decorators import check_honeypot from tagging.models import Tag, TaggedItem from django.shortcuts import render_to_response from django.template import RequestContext import re from django.db.models import Q def page_key_prefix(request): '''Used by cache_page_with_prefix to create a cache key prefix.''' return request.GET.get('page','') def build_url(domainname): '''Given a domain name (ex mywebsite.com) it returns the full url.''' return 'http://%s' % domainname def post_result_item(post): '''Generates the item result object for django-springsteen integration.''' return { 'title': post.title, 'url': build_url(Settings.get_current().site.domain) + post.get_absolute_url(), 'text': post.body, } def springsteen_results(request): ''' Creates the django-springsteen compliant JSON results for only for findjango integration. Results: Published Post objects. ''' results = [ post_result_item(item) for item in Post.objects.published()[:50] ] response_dict = { 'total_results': Post.objects.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') def server_error(request, template_name='500.html'): '''Handles displaying 500 server error page along with application MEDIA.''' t = loader.get_template(template_name) blog_settings = Settings.get_current() return http.HttpResponseServerError(t.render(Context({ "MEDIA_URL": settings.MEDIA_URL, "STATIC_URL": settings.STATIC_URL, "BLOG_SETTINGS": blog_settings, }))) def springsteen_firehose(request): ''' Generates django-springsteen compliant JSON results of proxy models for findjango integration. ''' def result_item(proxy): '''Generates the item result object.''' if proxy.content_type.name == 'bookmark': url = proxy.content_object.get_absolute_url() else: url = build_url(Settings.get_current().site.domain) + proxy.content_object.get_absolute_url() return { 'title': proxy.title, 'url': url, 'text': proxy.description, } posts = Proxy.objects.published().order_by('-pub_date')[:50] results = [ result_item(item) for item in posts ] response_dict = { 'total_results': Proxy.objects.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') def springsteen_category(request, slug): ''' Creates the django-springsteen compliant JSON results for only for findjango integration. Results: Published Post objects by category. ''' category = get_object_or_404(Category, slug__iexact=slug) posts = category.post_set.published()[:50] results = [ post_result_item(item) for item in posts ] response_dict = { 'total_results': category.post_set.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') @cache_page_with_prefix(60, page_key_prefix) def home_list(request, page=0, template_name='proxy/proxy_list.html', kwargs): ''' Homepage. Template: ``proxy/proxy_list.html`` Context: object_list Aggregated list of Proxy instances (post, quote, bookmark). ''' posts = Proxy.objects.published().order_by('-pub_date') pagesize = Settings.get_current().page_size or 20 return list_detail.object_list( request, queryset = posts, paginate_by = pagesize, page = page, template_name = template_name, kwargs ) def quote_list(request, template_name='quotes/quote_list.html', kwargs): ''' A basic cxample of overriding a reusable apps view to customize. Displays quote list view. No paging added, but can be on your own. ''' from quoteme.views import quote_list favorite_jazz_album = getattr(settings, 'FAVORITE_JAZZ_ALBUM', 'Money Jungle') extra = { 'favorite_jazz_album': favorite_jazz_album, } return quote_list(request, template_name=template_name, extra_context=extra, kwargs) def quote_detail(request, template_name='quotes/quote_detail.html', kwargs): ''' A basic cxample of overriding a reusable apps view to customize. Displays quote detail view. ''' from quoteme.views import quote_detail favorite_food = getattr(settings, 'FAVORITE_FOOD', 'Pizza') extra = { 'favorite_food': favorite_food, } return quote_detail(request, template_name=template_name, extra_context=extra, kwargs) def oops(request): '''An view that exists soley to provide an example of using django-db-log.''' foo = 1/0 def tag_detail(request, slug, template_name='proxy/tag_detail.html', **kwargs): ''' Display objects for all content types supported: Post and Quotes.''' tag = get_object_or_404(Tag, name__iexact=slug) #below could be prettier results = [] qs = Proxy.objects.published().filter(tags__icontains=tag.name).order_by('-pub_date') for item in qs: comma_delimited = (',' in item.tags) if comma_delimited: for t in item.tags.split(','): if t.strip(' ') == tag.name: results.append(item) else: for t in item.tags.split(' '): if t.strip(' ') == tag.name: results.append(item) return render_to_response(template_name, {'tag': tag, 'object_list': results}, context_instance=RequestContext(request), ) @check_honeypot def contact_form(request, form_class=ContactForm, template_name='contact_form/contact_form.html'): ''' Handles the contact form view. Leverages django-contact-form. This is an example of overriding another reusable apps view. This particular view also contains a form. For this example we are just doing the basic implementation by wrapping the view function and simply passing the arguments along. This view is also leveraging another reusable app, django-honeypot. The decorator you see being applied is used to protect your app from spam. ''' return django_contact_form(request, form_class=form_class, template_name=template_name) # Stop Words courtesy of http://www.dcs.gla.ac.uk/idom/ir_resources/linguistic_utils/stop_words STOP_WORDS = r"""\b(a\|about\|above\|across\|after\|afterwards\|again\|against\|all\|almost\|alone\|along\|already\|also\| although\|always\|am\|among\|amongst\|amoungst\|amount\|an\|and\|another\|any\|anyhow\|anyone\|anything\|anyway\|anywhere\|are\| around\|as\|at\|back\|be\|became\|because\|become\|becomes\|becoming\|been\|before\|beforehand\|behind\|being\|below\|beside\| besides\|between\|beyond\|bill\|both\|bottom\|but\|by\|call\|can\|cannot\|cant\|co\|computer\|con\|could\|couldnt\|cry\|de\|describe\| detail\|do\|done\|down\|due\|during\|each\|eg\|eight\|either\|eleven\|else\|elsewhere\|empty\|enough\|etc\|even\|ever\|every\|everyone\| everything\|everywhere\|except\|few\|fifteen\|fify\|fill\|find\|fire\|first\|five\|for\|former\|formerly\|forty\|found\|four\|from\| front\|full\|further\|get\|give\|go\|had\|has\|hasnt\|have\|he\|hence\|her\|here\|hereafter\|hereby\|herein\|hereupon\|hers\|herself\| him\|himself\|his\|how\|however\|hundred\|i\|ie\|if\|in\|inc\|indeed\|interest\|into\|is\|it\|its\|itself\|keep\|last\|latter\|latterly\| least\|less\|ltd\|made\|many\|may\|me\|meanwhile\|might\|mill\|mine\|more\|moreover\|most\|mostly\|move\|much\|must\|my\|myself\|name\| namely\|neither\|never\|nevertheless\|next\|nine\|no\|nobody\|none\|noone\|nor\|not\|nothing\|now\|nowhere\|of\|off\|often\|on\|once\| one\|only\|onto\|or\|other\|others\|otherwise\|our\|ours\|ourselves\|out\|over\|own\|part\|per\|perhaps\|please\|put\|rather\|re\|same\| see\|seem\|seemed\|seeming\|seems\|serious\|several\|she\|should\|show\|side\|since\|sincere\|six\|sixty\|so\|some\|somehow\|someone\| something\|sometime\|sometimes\|somewhere\|still\|such\|system\|take\|ten\|than\|that\|the\|their\|them\|themselves\|then\|thence\| there\|thereafter\|thereby\|therefore\|therein\|thereupon\|these\|they\|thick\|thin\|third\|this\|those\|though\|three\|through\| throughout\|thru\|thus\|to\|together\|too\|top\|toward\|towards\|twelve\|twenty\|two\|un\|under\|until\|up\|upon\|us\|very\|via\|was\| we\|well\|were\|what\|whatever\|when\|whence\|whenever\|where\|whereafter\|whereas\|whereby\|wherein\|whereupon\|wherever\|whether\| which\|while\|whither\|who\|whoever\|whole\|whom\|whose\|why\|will\|with\|within\|without\|would\|yet\|you\|your\|yours\|yourself\| yourselves)\b""" def proxy_search(request, template_name='proxy/proxy_search.html'): """ Search for proxy objects. 99.99 percent borrowed from basic-blog's search. This template will allow you to setup a simple search form that will try to return results based on given search strings. The queries will be put through a stop words filter to remove words like 'the', 'a', or 'have' to help imporve the result set. Template: ``proxy/proxy_search.html`` Context: object_list List of blog posts that match given search term(s). search_term Given search term. """ context = {} if request.GET: stop_word_list = re.compile(STOP_WORDS, re.IGNORECASE) search_term = '%s' % request.GET['q'] cleaned_search_term = stop_word_list.sub('', search_term) cleaned_search_term = cleaned_search_term.strip() if len(cleaned_search_term) != 0: post_list = Proxy.objects.filter(Q(title__icontains=cleaned_search_term) \| Q(tags__icontains=cleaned_search_term) \| Q(description__icontains=cleaned_search_term)).order_by('-pub_date') context = {'object_list': post_list, 'search_term':search_term} else: message = 'Search term was too vague. 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tests/webdriver_tests/test_content.py	sean-hayes/zoom	1	196260	<filename>tests/webdriver_tests/test_content.py<gh_stars>1-10 # -- coding: utf-8 -- """ zoom.tests.webdriver_tests.test_admin test admin app functions """ from .common import WebdriverTestCase class ContentTests(WebdriverTestCase): """Content App""" def setUp(self): WebdriverTestCase.setUp(self) self.login('admin', 'admin') def tearDown(self): self.logout() WebdriverTestCase.tearDown(self) def add_page(self, **parts): assert parts.get('title') self.get('/content/pages/new') self.fill(parts) self.click('create_button') def delete_page(self, locator): self.get('/content/pages') self.click_link(locator) self.click_link('Delete') self.click('delete_button') def test_add_remove_page(self): self.add_page( title='Test Page', path='test-page', body='This is a test page.' ) self.assertContains('Test Page') self.delete_page('Test Page') # def add_user(self, first_name, last_name, email, username): # self.get('/admin') # self.get('/admin/users') # self.get('/admin/users/new') # self.fill( # dict( # first_name=first_name, # last_name=last_name, # email=email, # username=username, # ) # ) # self.chosen('groups', ['managers']) # self.click('create_button') # # def delete_user(self, username): # self.get('/admin') # self.get('/admin/users') # self.click_link(username) # self.click('id=delete-action') # self.click('name=delete_button') # # def test_admin_login_logout(self): # self.login('admin', 'admin') # self.logout() def test_index(self): self.get('/content') self.assertContains('Overview') self.assertContains('Pages') self.assertContains('Snippets')	[ 1, 529, 9507, 29958, 21150, 29914, 29813, 29918, 21150, 29914, 1688, 29918, 3051, 29889, 2272, 29966, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 13, 29937, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 13, 15945, 29908, 13, 1678, 19342, 29889, 21150, 29889, 29813, 29918, 21150, 29889, 1688, 29918, 6406, 13, 13, 1678, 1243, 4113, 623, 3168, 13, 15945, 29908, 13, 13, 13, 3166, 869, 9435, 1053, 2563, 9465, 3057, 8259, 13, 13, 13, 1990, 10576, 24376, 29898, 3609, 9465, 3057, 8259, 1125, 13, 1678, 9995, 3916, 2401, 15945, 29908, 13, 13, 1678, 822, 731, 3373, 29898, 1311, 1125, 13, 4706, 2563, 9465, 3057, 8259, 29889, 842, 3373, 29898, 1311, 29897, 13, 4706, 1583, 29889, 7507, 877, 6406, 742, 525, 6406, 1495, 13, 13, 1678, 822, 734, 279, 6767, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1188, 449, 580, 13, 4706, 2563, 9465, 3057, 8259, 29889, 371, 279, 6767, 29898, 1311, 29897, 13, 13, 1678, 822, 788, 29918, 3488, 29898, 1311, 29892, 3579, 20895, 1125, 13, 4706, 4974, 5633, 29889, 657, 877, 3257, 1495, 13, 4706, 1583, 29889, 657, 11219, 3051, 29914, 12292, 29914, 1482, 1495, 13, 4706, 1583, 29889, 5589, 29898, 20895, 29897, 13, 4706, 1583, 29889, 3808, 877, 3258, 29918, 3092, 1495, 13, 13, 1678, 822, 5217, 29918, 3488, 29898, 1311, 29892, 1180, 1061, 1125, 13, 4706, 1583, 29889, 657, 11219, 3051, 29914, 12292, 1495, 13, 4706, 1583, 29889, 3808, 29918, 2324, 29898, 2029, 1061, 29897, 13, 4706, 1583, 29889, 3808, 29918, 2324, 877, 12498, 1495, 13, 4706, 1583, 29889, 3808, 877, 8143, 29918, 3092, 1495, 13, 13, 1678, 822, 1243, 29918, 1202, 29918, 5992, 29918, 3488, 29898, 1311, 1125, 13, 4706, 1583, 29889, 1202, 29918, 3488, 29898, 13, 9651, 3611, 2433, 3057, 9305, 742, 13, 9651, 2224, 2433, 1688, 29899, 3488, 742, 13, 9651, 3573, 2433, 4013, 338, 263, 1243, 1813, 6169, 13, 4706, 1723, 13, 4706, 1583, 29889, 9294, 21409, 877, 3057, 9305, 1495, 13, 4706, 1583, 29889, 8143, 29918, 3488, 877, 3057, 9305, 1495, 13, 13, 1678, 396, 822, 788, 29918, 1792, 29898, 1311, 29892, 937, 29918, 978, 29892, 1833, 29918, 978, 29892, 4876, 29892, 8952, 1125, 13, 1678, 396, 268, 1583, 29889, 657, 11219, 6406, 1495, 13, 1678, 396, 268, 1583, 29889, 657, 11219, 6406, 29914, 7193, 1495, 13, 1678, 396, 268, 1583, 29889, 657, 11219, 6406, 29914, 7193, 29914, 1482, 1495, 13, 1678, 396, 268, 1583, 29889, 5589, 29898, 13, 1678, 396, 308, 9657, 29898, 13, 1678, 396, 632, 937, 29918, 978, 29922, 4102, 29918, 978, 29892, 13, 1678, 396, 632, 1833, 29918, 978, 29922, 4230, 29918, 978, 29892, 13, 1678, 396, 632, 4876, 29922, 5269, 29892, 13, 1678, 396, 632, 8952, 29922, 6786, 29892, 13, 1678, 396, 308, 1723, 13, 1678, 396, 268, 1723, 13, 1678, 396, 268, 1583, 29889, 305, 7749, 877, 13155, 742, 6024, 1171, 18150, 11287, 13, 1678, 396, 268, 1583, 29889, 3808, 877, 3258, 29918, 3092, 1495, 13, 1678, 396, 13, 1678, 396, 822, 5217, 29918, 1792, 29898, 1311, 29892, 8952, 1125, 13, 1678, 396, 268, 1583, 29889, 657, 11219, 6406, 1495, 13, 1678, 396, 268, 1583, 29889, 657, 11219, 6406, 29914, 7193, 1495, 13, 1678, 396, 268, 1583, 29889, 3808, 29918, 2324, 29898, 6786, 29897, 13, 1678, 396, 268, 1583, 29889, 3808, 877, 333, 29922, 8143, 29899, 2467, 1495, 13, 1678, 396, 268, 1583, 29889, 3808, 877, 978, 29922, 8143, 29918, 3092, 1495, 13, 1678, 396, 13, 1678, 396, 822, 1243, 29918, 6406, 29918, 7507, 29918, 1188, 449, 29898, 1311, 1125, 13, 1678, 396, 268, 1583, 29889, 7507, 877, 6406, 742, 525, 6406, 1495, 13, 1678, 396, 268, 1583, 29889, 1188, 449, 580, 13, 13, 1678, 822, 1243, 29918, 2248, 29898, 1311, 1125, 13, 4706, 1583, 29889, 657, 11219, 3051, 1495, 13, 4706, 1583, 29889, 9294, 21409, 877, 3563, 1493, 1495, 13, 4706, 1583, 29889, 9294, 21409, 877, 27514, 1495, 13, 4706, 1583, 29889, 9294, 21409, 877, 29903, 1240, 27421, 1495, 13, 2 ]
mysite/Tweet_Generator/urls.py	avinsit123/Tweet-o-Pedia	1	157596	<gh_stars>1-10 from django.conf.urls import url from . import views urlpatterns=[ url(r'^$',views.Tweet_form,name='Tweetform'), url('yumyum',views.ProcessForm,name='vahmc') ]	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29896, 29899, 29896, 29900, 13, 3166, 9557, 29889, 5527, 29889, 26045, 1053, 3142, 13, 13, 13, 3166, 869, 1053, 8386, 13, 13, 2271, 11037, 29879, 11759, 13, 632, 3142, 29898, 29878, 29915, 29985, 29938, 742, 7406, 29889, 29911, 16668, 29918, 689, 29892, 978, 2433, 29911, 16668, 689, 5477, 13, 632, 3142, 877, 29891, 398, 29891, 398, 742, 7406, 29889, 7032, 2500, 29892, 978, 2433, 29894, 801, 14047, 1495, 13, 632, 4514, 13, 13, 2 ]
src/duplex_feature_extraction_cv.py	BorisAnimal/across_sensor_har	0	106085	from keras.models import load_model, Model import numpy as np import os from src.data.shl_data import shl_min, shl_max, mean, std from tqdm import tqdm import seaborn as sns import shutil from loguru import logger x_min = shl_min()[np.newaxis, np.newaxis, :] x_max = shl_max()[np.newaxis, np.newaxis, :] x_mean = mean() x_std = std() base = "data/interim/hips/data" logger.add("duplex_fe_cv.log", format="{time:YYYY-MM-DD at HH:mm:ss} \| {level} \| {message}") logger.info("CV feature extraction has started.") sensors = ["accel", "gyro", "mag"] sources = [0]3 + [1]3 + [2]3 destinations = [0, 1, 2]3 modalities = list(zip(sources, destinations)) model_names = [f"{sensors[x]}2{sensors[y]}_duplex" for (x, y) in modalities] for model_name, (in_sensor, out_sensor) in tqdm(list(zip(model_names, modalities))[5:], total=9, desc = "Modalities"): for i in tqdm(range(5), desc = "Folds", leave = False): os.makedirs(f"data/interim/hips/best_fold{i}_{model_name}_features/") model = load_model(f"models/hips/best_fold{i}_{model_name}") feature_encoder = Model(model.input, model.get_layer("features").output) rmses = [] for fname in tqdm(os.listdir(base), desc = "files", leave = False): arr = np.load(base + "/" + fname) x = (arr - x_mean) / x_std x = (x - x_min) / (x_max - x_min) x = x * 2 - 1 features = feature_encoder.predict(x[:,:,:, in_sensor]) np.save(f"data/interim/hips/best_fold{i}_{model_name}_features/{fname}", features) rmse = np.mean(np.square(model.predict(x[:, :, :, in_sensor], verbose=0)[0] - x[:, :, :, out_sensor]), axis = 1) rmses.extend(rmse) logger.info(f"{model_name} fold {i} finished with rmse = {np.mean(rmses)}")	[ 1, 515, 13023, 294, 29889, 9794, 1053, 2254, 29918, 4299, 29892, 8125, 13, 5215, 12655, 408, 7442, 13, 5215, 2897, 13, 3166, 4765, 29889, 1272, 29889, 845, 29880, 29918, 1272, 1053, 528, 29880, 29918, 1195, 29892, 528, 29880, 29918, 3317, 29892, 2099, 29892, 3659, 13, 3166, 260, 29939, 18933, 1053, 260, 29939, 18933, 13, 5215, 409, 370, 1398, 408, 269, 1983, 13, 5215, 528, 4422, 13, 3166, 1480, 20144, 1053, 17927, 13, 13, 29916, 29918, 1195, 353, 528, 29880, 29918, 1195, 580, 29961, 9302, 29889, 1482, 8990, 29892, 7442, 29889, 1482, 8990, 29892, 584, 29962, 13, 29916, 29918, 3317, 353, 528, 29880, 29918, 3317, 580, 29961, 9302, 29889, 1482, 8990, 29892, 7442, 29889, 1482, 8990, 29892, 584, 29962, 13, 29916, 29918, 12676, 353, 2099, 580, 13, 29916, 29918, 4172, 353, 3659, 580, 13, 13, 3188, 353, 376, 1272, 29914, 1639, 326, 29914, 14587, 29914, 1272, 29908, 13, 13, 21707, 29889, 1202, 703, 700, 10709, 29918, 1725, 29918, 11023, 29889, 1188, 613, 3402, 10724, 2230, 29901, 14995, 14995, 29899, 7428, 29899, 7858, 472, 379, 29950, 29901, 4317, 29901, 893, 29913, 891, 426, 5563, 29913, 891, 426, 4906, 27195, 13, 21707, 29889, 3888, 703, 15633, 4682, 4805, 428, 756, 4687, 23157, 13, 13, 23149, 943, 353, 6796, 562, 2242, 613, 376, 1927, 307, 613, 376, 11082, 3108, 13, 29879, 2863, 353, 518, 29900, 14178, 29941, 718, 518, 29896, 14178, 29941, 718, 518, 29906, 14178, 29941, 13, 7854, 262, 800, 353, 518, 29900, 29892, 29871, 29896, 29892, 29871, 29906, 14178, 29941, 29871, 13, 15601, 1907, 353, 1051, 29898, 7554, 29898, 29879, 2863, 29892, 15422, 800, 876, 13, 4299, 29918, 7039, 353, 518, 29888, 29908, 29912, 23149, 943, 29961, 29916, 12258, 29906, 29912, 23149, 943, 29961, 29891, 29962, 2403, 700, 10709, 29908, 363, 313, 29916, 29892, 343, 29897, 297, 13008, 1907, 29962, 13, 13, 1454, 1904, 29918, 978, 29892, 313, 262, 29918, 29879, 6073, 29892, 714, 29918, 29879, 6073, 29897, 297, 260, 29939, 18933, 29898, 1761, 29898, 7554, 29898, 4299, 29918, 7039, 29892, 13008, 1907, 876, 29961, 29945, 29901, 1402, 3001, 29922, 29929, 29892, 5153, 353, 376, 19751, 1907, 29908, 1125, 13, 1678, 363, 474, 297, 260, 29939, 18933, 29898, 3881, 29898, 29945, 511, 5153, 353, 376, 29943, 3361, 613, 5967, 353, 7700, 1125, 13, 13, 4706, 2897, 29889, 29885, 12535, 12935, 29898, 29888, 29908, 1272, 29914, 1639, 326, 29914, 14587, 29914, 13318, 29918, 8771, 29912, 29875, 3227, 4299, 29918, 978, 2403, 22100, 29914, 1159, 13, 308, 13, 4706, 1904, 353, 2254, 29918, 4299, 29898, 29888, 29908, 9794, 29914, 14587, 29914, 13318, 29918, 8771, 29912, 29875, 3227, 4299, 29918, 978, 27195, 13, 4706, 4682, 29918, 3977, 6119, 353, 8125, 29898, 4299, 29889, 2080, 29892, 1904, 29889, 657, 29918, 13148, 703, 22100, 2564, 4905, 29897, 13, 4706, 364, 1516, 267, 353, 5159, 13, 4706, 363, 285, 978, 297, 260, 29939, 18933, 29898, 359, 29889, 1761, 3972, 29898, 3188, 511, 5153, 353, 376, 5325, 613, 5967, 353, 7700, 1125, 13, 9651, 3948, 353, 7442, 29889, 1359, 29898, 3188, 718, 5591, 29908, 718, 285, 978, 29897, 13, 9651, 921, 353, 313, 2749, 448, 921, 29918, 12676, 29897, 847, 921, 29918, 4172, 13, 9651, 921, 353, 313, 29916, 448, 921, 29918, 1195, 29897, 847, 313, 29916, 29918, 3317, 448, 921, 29918, 1195, 29897, 13, 9651, 921, 353, 921, 334, 29871, 29906, 448, 29871, 29896, 13, 13, 9651, 5680, 353, 4682, 29918, 3977, 6119, 29889, 27711, 29898, 29916, 7503, 29892, 29901, 29892, 29901, 29892, 297, 29918, 29879, 6073, 2314, 13, 9651, 7442, 29889, 7620, 29898, 29888, 29908, 1272, 29914, 1639, 326, 29914, 14587, 29914, 13318, 29918, 8771, 29912, 29875, 3227, 4299, 29918, 978, 2403, 22100, 19248, 29888, 978, 17671, 5680, 29897, 13, 9651, 20241, 344, 353, 7442, 29889, 12676, 29898, 9302, 29889, 17619, 29898, 4299, 29889, 27711, 29898, 29916, 7503, 29892, 584, 29892, 584, 29892, 297, 29918, 29879, 6073, 1402, 26952, 29922, 29900, 9601, 29900, 29962, 448, 921, 7503, 29892, 584, 29892, 584, 29892, 714, 29918, 29879, 6073, 11724, 9685, 353, 29871, 29896, 29897, 13, 13, 9651, 364, 1516, 267, 29889, 21843, 29898, 1758, 344, 29897, 13, 4706, 17927, 29889, 3888, 29898, 29888, 29908, 29912, 4299, 29918, 978, 29913, 900, 29881, 426, 29875, 29913, 7743, 411, 20241, 344, 353, 426, 9302, 29889, 12676, 29898, 29878, 1516, 267, 2915, 1159, 2 ]
fcts/blurple-old.py	ZRunner/ZBot	19	1600443	<filename>fcts/blurple-old.py import datetime import io import math import time from io import BytesIO import aiohttp import discord from discord.ext import commands from discord.ext.commands.cooldowns import BucketType from PIL import Image, ImageEnhance, ImageSequence from resizeimage import resizeimage from utils import MyContext BLURPLE = (114, 137, 218, 255) DARK_BLURPLE = (78, 93, 148, 255) WHITE = (255, 255, 255, 255) DARK = (1,1,35,255) class BlurpleCog(commands.Cog): def __init__(self,bot): self.bot = bot self.file = 'blurple' @commands.command(name="isblurple",aliases=['blurple']) @commands.cooldown(rate=1, per=60, type=BucketType.user) async def blurple_cmd(self, ctx: MyContext, url: str = None): """Be part of the best birthday of the WORLD, and check if you're enough blurple to be cool! You can either give a user or an image URL in argument, or attach an image to your message. Plz don't forget to be cool.""" if not (ctx.guild is None or ctx.channel.permissions_for(ctx.guild.me).attach_files): return await ctx.send(await self.bot._(ctx.channel,"blurple","missing-attachment-perm")) picture = None if url is not None: try: user = await commands.UserConverter().convert(ctx,url) picture = user.display_avatar.url except Exception: picture = url else: link = ctx.message.attachments if len(link) != 0: for image in link: picture = image.url if picture is None: picture = ctx.author.display_avatar.url try: async with aiohttp.ClientSession() as cs: async with cs.get(picture) as r: response = await r.read() except ValueError: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return colourbuffer = 25 try: im = Image.open(BytesIO(response)) except Exception: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_intro")).format(ctx.message.author.mention)) im = im.convert('RGBA') imsize = list(im.size) impixels = imsize[0]imsize[1] maxpixelcount = 1562500 start = time.time() if impixels > maxpixelcount: downsizefraction = math.sqrt(maxpixelcount/impixels) im = resizeimage.resize_width(im, (imsize[0]downsizefraction)) imsize = list(im.size) impixels = imsize[0]imsize[1] end = time.time() await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_resized")).format(ctx.message.author.mention,round(end-start,2))) def imager(im): global noofblurplepixels noofblurplepixels = 0 global noofwhitepixels noofwhitepixels = 0 global noofdarkblurplepixels noofdarkblurplepixels = 0 global nooftotalpixels nooftotalpixels = 0 global noofpixels noofpixels = 0 img = im.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x,y] check = 1 checkblurple = 1 checkwhite = 1 checkdarkblurple = 1 checkblack = 1 if pixel[3]<200: noofpixels += 1 nooftotalpixels += 1 img[x,y] = (pixel[0], pixel[1], pixel[2], 0) continue for i in range(3): if not(BLURPLE[i]+colourbuffer > pixel[i] > BLURPLE[i]-colourbuffer): checkblurple = 0 if not(DARK_BLURPLE[i]+colourbuffer > pixel[i] > DARK_BLURPLE[i]-colourbuffer): checkdarkblurple = 0 if not(WHITE[i]+colourbuffer > pixel[i] > WHITE[i]-colourbuffer): checkwhite = 0 if not(DARK[i]+colourbuffer > pixel[i] > DARK[i]-colourbuffer): checkblack = 0 if checkblurple == 0 and checkdarkblurple == 0 and checkwhite == 0 and checkblack == 0: check = 0 if check == 0: img[x,y] = (0, 0, 0, 255) if check == 1: nooftotalpixels += 1 if checkblurple == 1: noofblurplepixels += 1 if checkdarkblurple == 1: noofdarkblurplepixels += 1 if checkwhite == 1: noofwhitepixels += 1 noofpixels += 1 image_file_object = io.BytesIO() im.save(image_file_object, format='png') image_file_object.seek(0) return image_file_object async with aiohttp.ClientSession() as _: image = await self.bot.loop.run_in_executor(None, imager, im) image = discord.File(fp=image, filename='image.png') blurplenesspercentage = round(((nooftotalpixels/noofpixels)100), 2) percentblurple = round(((noofblurplepixels/noofpixels)100), 2) percentdblurple = round(((noofdarkblurplepixels/noofpixels)100), 2) percentwhite = round(((noofwhitepixels/noofpixels)100), 2) fields_txt = await self.bot._(ctx.guild,"blurple","check_fields") embed = discord.Embed(title = "", colour = 0x7289DA, description=fields_txt[5]) if blurplenesspercentage>=99.99: embed.add_field(name=fields_txt[0], value=f"{blurplenesspercentage}% :tada:", inline=False) else: embed.add_field(name=fields_txt[0], value=f"{blurplenesspercentage}%", inline=False) embed.add_field(name=fields_txt[1], value=f"{percentblurple}%", inline=True) embed.add_field(name=fields_txt[2], value=f"{percentwhite}%", inline=True) embed.add_field(name=fields_txt[3], value=f"{percentdblurple}%", inline=True) embed.add_field(name="Guide", value=fields_txt[4], inline=False) embed.set_footer(text=fields_txt[6].format(ctx.author)) embed.set_image(url="attachment://image.png") embed.set_thumbnail(url=picture) await ctx.send(embed=embed, file=image) if blurplenesspercentage>95 and str(picture)==str(ctx.author.display_avatar): date = datetime.datetime.today() if not await ctx.bot.get_cog('Utilities').has_blurple_card(ctx.author) and 6<date.day<20 and date.month==5: pr = await self.bot.get_prefix(ctx.message) em = ':tada:' if ctx.guild is not None and ctx.channel.permissions_for(ctx.guild.me).external_emojis: em = '<:blurpletada:575696286905401345>' await ctx.bot.get_cog('Utilities').change_db_userinfo(ctx.author.id,'unlocked_blurple',True) await ctx.send(str(await self.bot._(ctx.channel,'blurple','won-card')).format(ctx.author.mention,pr[-1],em)) @commands.command(aliases=['blurplfy', 'blurplefier']) @commands.cooldown(rate=3, per=90, type=BucketType.user) async def blurplefy(self,ctx, url = None): """Be even more cool, and blurpelize your avatar for this coolest birthday of the century. You can either give a user or an image URL in argument, or attach an image to your message. Plz don't forget to be cool.""" await self.create(ctx,url) async def create(self,ctx,url): picture = None if url is not None: try: user = await commands.UserConverter().convert(ctx,url) picture = str(user.display_avatar) except Exception: picture = url else: link = ctx.message.attachments if len(link) != 0: for image in link: picture = image.url if picture is None: picture = ctx.author.display_avatar try: async with aiohttp.ClientSession() as cs: async with cs.get(str(picture)) as r: response = await r.read() except ValueError: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return try: im = Image.open(BytesIO(response)) except Exception: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return imsize = list(im.size) impixels = imsize[0]imsize[1] maxpixelcount = 1562500 await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_intro")).format(ctx.message.author.mention)) try: _ = im.info["version"] isgif = True gifloop = int(im.info["loop"]) except Exception: isgif = False if impixels > maxpixelcount: downsizefraction = math.sqrt(maxpixelcount/impixels) im = resizeimage.resize_width(im, (imsize[0]downsizefraction)) imsize = list(im.size) impixels = imsize[0]imsize[1] def imager(im): im = im.convert(mode='RGBA') im = ImageEnhance.Contrast(im).enhance(1000) #im = ImageEnhance.Contrast(im).enhance(2.2) im = im.convert(mode='RGBA') img = im.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x, y] if pixel[3] > 220: if sum(pixel[:3])/3 > 222: img[x,y] = WHITE elif sum(pixel[:3])/3 > 100: img[x,y] = BLURPLE elif sum(pixel[:3])/3 > 0.01: img[x,y] = DARK_BLURPLE else: img[x,y] = DARK else: img[x,y] = BLURPLE[:3]+tuple([pixel[3]]) image_file_object = io.BytesIO() im.save(image_file_object, format='png') image_file_object.seek(0) return image_file_object def gifimager(im, _gifloop): frames = [frame.copy() for frame in ImageSequence.Iterator(im)] newgif = [] for frame in frames: frame = frame.convert(mode='RGBA') frame = ImageEnhance.Contrast(frame).enhance(1.7) frame = frame.convert(mode='RGBA') img = frame.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x, y] if pixel[3] > 230: if sum(pixel[:3])/3 > 222: img[x,y] = WHITE elif sum(pixel[:3])/3 > 100: img[x,y] = BLURPLE elif sum(pixel[:3])/3 > 0.01: img[x,y] = DARK_BLURPLE else: img[x,y] = DARK else: img[x,y] = BLURPLE[:3]+tuple([pixel[3]]) # for x in range(imsize[0]): # for y in range(imsize[1]): # pixel = img[x, y] # if pixel != (255, 255, 255): # img[x, y] = (114, 137, 218) newgif.append(frame) image_file_object = io.BytesIO() gif = newgif[0] gif.save(image_file_object, format='gif', save_all=True, append_images=newgif[1:], loop=0) image_file_object.seek(0) return image_file_object async with aiohttp.ClientSession() as _: if not isgif: image = await self.bot.loop.run_in_executor(None, imager, im) else: image = await self.bot.loop.run_in_executor(None, gifimager, im, gifloop) if not isgif: image = discord.File(fp=image, filename='image.png') else: image = discord.File(fp=image, filename='image.gif') try: fields_txt = await self.bot._(ctx.guild,"blurple","check_fields") embed = discord.Embed(title = "", colour = 0x7289DA, description=fields_txt[5]) embed.set_author(name=await self.bot._(ctx.guild,'blurple','create_title')) if not isgif: embed.set_image(url="attachment://image.png") embed.set_footer(text=str(await self.bot._(ctx.guild,'blurple','create_footer_1')).format(ctx.author)) else: embed.set_image(url="attachment://image.gif") embed.set_footer(text=str(await self.bot._(ctx.guild,'blurple','create_footer_2')).format(ctx.author)) embed.set_thumbnail(url=picture) await ctx.send(embed=embed, file=image) except Exception: await ctx.send(str(await self.bot._(ctx.guild,'blurple','create_footer_2')).format(ctx.author.mention)) def 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Colab_setup/sample_colab_cell.py	FredAmouzgar/46_Simple_python_Exercise	0	98992	<gh_stars>0 """ Instruction: Copy this code to the first cell of the Jupyter notebook you want to run in the Google Colab. It automatically configures it for rendering. """ import sys, os if 'google.colab' in sys.modules and not os.path.exists('.done'): !wget -q https://raw.githubusercontent.com/FredAmouzgar/python_Exercise/master/Colab_setup/setup_colab.sh -O- \| bash !touch .done # Creating a virtual display to draw game images on. if type(os.environ.get("DISPLAY")) is not str or len(os.environ.get("DISPLAY")) == 0: !bash ../xvfb start os.environ['DISPLAY'] = ':1'	[ 1, 529, 12443, 29918, 303, 1503, 29958, 29900, 13, 15945, 29908, 13, 3379, 4080, 29901, 13, 1678, 14187, 445, 775, 304, 278, 937, 3038, 310, 278, 27441, 25547, 451, 19273, 366, 864, 304, 1065, 297, 278, 5087, 1530, 370, 29889, 739, 6336, 2295, 1973, 372, 363, 15061, 29889, 13, 15945, 29908, 13, 5215, 10876, 29892, 2897, 13, 361, 525, 3608, 29889, 1054, 370, 29915, 297, 10876, 29889, 7576, 322, 451, 2897, 29889, 2084, 29889, 9933, 12839, 15091, 29374, 13, 1678, 1738, 29893, 657, 448, 29939, 2045, 597, 1610, 29889, 3292, 1792, 3051, 29889, 510, 29914, 29943, 1127, 6833, 283, 29920, 5397, 29914, 4691, 29918, 1252, 6269, 895, 29914, 6207, 29914, 1625, 370, 29918, 14669, 29914, 14669, 29918, 1054, 370, 29889, 845, 448, 29949, 29899, 891, 10891, 13, 1678, 1738, 16747, 869, 15091, 13, 13, 29937, 26221, 263, 6901, 2479, 304, 4216, 3748, 4558, 373, 29889, 13, 361, 1134, 29898, 359, 29889, 21813, 29889, 657, 703, 23711, 29925, 18799, 5783, 338, 451, 851, 470, 7431, 29898, 359, 29889, 21813, 29889, 657, 703, 23711, 29925, 18799, 5783, 1275, 29871, 29900, 29901, 13, 1678, 1738, 13067, 29772, 29916, 29894, 14943, 1369, 13, 1678, 2897, 29889, 21813, 1839, 23711, 29925, 18799, 2033, 353, 525, 29901, 29896, 29915, 13, 2 ]
changePositionToIndexUpstream.py	oicr-gsi/bam-statistics	0	44427	#!/usr/bin/python ## my upstream target intervals were of size 1000 each. import sys # use stdin if stdin is full if not sys.stdin.isatty(): indexFile = sys.stdin #otherwise, read from input else: try: input_file = sys.argv[1] except IndexError: message = 'need filename as first argument if stdin is not full' raise IndexError(message) else: indexFile = open(input_file, 'rU') count = 999; start = 0; for line in indexFile: if start==0: print count start = int(line) count=count-1 else: val = int(line) if start == val - 1: print count count=count-1 start = int(line) else: print 999 count = 998 start = int(line)	[ 1, 18787, 4855, 29914, 2109, 29914, 4691, 13, 13, 2277, 590, 701, 5461, 3646, 18747, 892, 310, 2159, 29871, 29896, 29900, 29900, 29900, 1269, 29889, 13, 13, 13, 5215, 10876, 13, 13, 29937, 671, 3659, 262, 565, 3659, 262, 338, 2989, 13, 361, 451, 10876, 29889, 4172, 262, 29889, 24766, 1017, 7295, 13, 12, 2248, 2283, 353, 10876, 29889, 4172, 262, 13, 13, 29937, 1228, 3538, 29892, 1303, 515, 1881, 13, 2870, 29901, 13, 12, 2202, 29901, 13, 12, 12, 2080, 29918, 1445, 353, 10876, 29889, 19218, 29961, 29896, 29962, 13, 12, 19499, 11374, 2392, 29901, 13, 12, 12, 4906, 353, 525, 26180, 10422, 408, 937, 2980, 565, 3659, 262, 338, 451, 2989, 29915, 13, 12, 12, 22692, 11374, 2392, 29898, 4906, 29897, 13, 12, 2870, 29901, 13, 12, 12, 2248, 2283, 353, 1722, 29898, 2080, 29918, 1445, 29892, 525, 29878, 29965, 1495, 13, 13, 13, 2798, 353, 29871, 29929, 29929, 29929, 29936, 13, 2962, 353, 29871, 29900, 29936, 13, 13, 1454, 1196, 297, 2380, 2283, 29901, 13, 13, 4706, 565, 1369, 1360, 29900, 29901, 13, 18884, 1596, 2302, 13, 18884, 1369, 353, 938, 29898, 1220, 29897, 13, 18884, 2302, 29922, 2798, 29899, 29896, 13, 4706, 1683, 29901, 13, 18884, 659, 353, 938, 29898, 1220, 29897, 13, 18884, 565, 1369, 1275, 659, 448, 29871, 29896, 29901, 13, 462, 4706, 1596, 2302, 13, 462, 4706, 2302, 29922, 2798, 29899, 29896, 13, 462, 4706, 1369, 353, 938, 29898, 1220, 29897, 13, 18884, 1683, 29901, 13, 462, 4706, 1596, 29871, 29929, 29929, 29929, 13, 462, 4706, 2302, 353, 29871, 29929, 29929, 29947, 13, 462, 4706, 1369, 353, 938, 29898, 1220, 29897, 13, 2 ]
ccnpy/tests/test_Name.py	mmosko/ccnpy	1	74549	# Copyright 2019 <NAME> # # 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 array import unittest import ccnpy class Name_Test(unittest.TestCase): def test_from_uri(self): uri='ccnx:/apple/banana/cherry/durian' name = ccnpy.Name.from_uri(uri) wire_format = name.serialize() truth = array.array('B', [0, 0, 0, 39, 0, 1, 0, 5, 97, 112, 112, 108, 101, 0, 1, 0, 6, 98, 97, 110, 97, 110, 97, 0, 1, 0, 6, 99, 104, 101, 114, 114, 121, 0, 1, 0, 6, 100, 117, 114, 105, 97, 110]) self.assertEqual(wire_format, truth, 'incorrect wire format') def test_components(self): uri='ccnx:/apple/banana/cherry/durian' name = ccnpy.Name.from_uri(uri) self.assertEqual(name.count(), 4) self.assertEqual(name[0], 'apple') self.assertEqual(name[1], 'banana') self.assertEqual(name[2], 'cherry') self.assertEqual(name[3], 'durian') def test_deserialize(self): wire_format = array.array('B', [0, 0, 0, 39, 0, 1, 0, 5, 97, 112, 112, 108, 101, 0, 1, 0, 6, 98, 97, 110, 97, 110, 97, 0, 1, 0, 6, 99, 104, 101, 114, 114, 121, 0, 1, 0, 6, 100, 117, 114, 105, 97, 110]) tlv = ccnpy.Tlv.deserialize(wire_format) actual = ccnpy.Name.parse(tlv) expected = ccnpy.Name.from_uri('ccnx:/apple/banana/cherry/durian') self.assertEqual(expected, actual, "Incorrect deserialize")	[ 1, 396, 29871, 14187, 1266, 29871, 29906, 29900, 29896, 29929, 529, 5813, 29958, 13, 29937, 13, 29937, 29871, 10413, 21144, 1090, 278, 13380, 19245, 29892, 10079, 29871, 29906, 29889, 29900, 313, 1552, 376, 29931, 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codes/blocks/sand.py	shenjackyuanjie/Minecraft	2	121871	def ben_update(): return def ben_random_tick(): return	[ 1, 29871, 13, 13, 1753, 3856, 29918, 5504, 7295, 13, 1678, 736, 13, 13, 13, 1753, 3856, 29918, 8172, 29918, 24667, 7295, 13, 1678, 736, 13, 2 ]
assets/src/ba_data/python/bastd/ui/purchase.py	SahandAslani/ballistica	0	162978	# Copyright (c) 2011-2020 <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ----------------------------------------------------------------------------- """UI related to purchasing items.""" from __future__ import annotations from typing import TYPE_CHECKING import _ba import ba if TYPE_CHECKING: from typing import Any, Dict, List, Optional class PurchaseWindow(ba.Window): """Window for purchasing one or more items.""" def __init__(self, items: List[str], transition: str = 'in_right', header_text: ba.Lstr = None): from ba.internal import get_store_item_display_size from bastd.ui.store import item as storeitemui if header_text is None: header_text = ba.Lstr(resource='unlockThisText', fallback_resource='unlockThisInTheStoreText') if len(items) != 1: raise ValueError('expected exactly 1 item') self._items = list(items) self._width = 580 self._height = 520 uiscale = ba.app.uiscale super().__init__(root_widget=ba.containerwidget( size=(self._width, self._height), transition=transition, toolbar_visibility='menu_currency', scale=(1.2 if uiscale is ba.UIScale.SMALL else 1.1 if uiscale is ba.UIScale.MEDIUM else 1.0), stack_offset=(0, -15) if uiscale is ba.UIScale.SMALL else (0, 0))) self._is_double = False self._title_text = ba.textwidget(parent=self._root_widget, position=(self._width * 0.5, self._height - 30), size=(0, 0), text=header_text, h_align='center', v_align='center', maxwidth=self._width * 0.9 - 120, scale=1.2, color=(1, 0.8, 0.3, 1)) size = get_store_item_display_size(items[0]) display: Dict[str, Any] = {} storeitemui.instantiate_store_item_display( items[0], display, parent_widget=self._root_widget, b_pos=(self._width * 0.5 - size[0] * 0.5 + 10 - ((size[0] * 0.5 + 30) if self._is_double else 0), self._height * 0.5 - size[1] * 0.5 + 30 + (20 if self._is_double else 0)), b_width=size[0], b_height=size[1], button=False) # Wire up the parts we need. if self._is_double: pass # not working else: if self._items == ['pro']: price_str = _ba.get_price(self._items[0]) pyoffs = -15 else: pyoffs = 0 price = self._price = _ba.get_account_misc_read_val( 'price.' + str(items[0]), -1) price_str = ba.charstr(ba.SpecialChar.TICKET) + str(price) self._price_text = ba.textwidget(parent=self._root_widget, position=(self._width * 0.5, 150 + pyoffs), size=(0, 0), text=price_str, h_align='center', v_align='center', maxwidth=self._width * 0.9, scale=1.4, color=(0.2, 1, 0.2)) self._update_timer = ba.Timer(1.0, ba.WeakCall(self._update), timetype=ba.TimeType.REAL, repeat=True) self._cancel_button = ba.buttonwidget( parent=self._root_widget, position=(50, 40), size=(150, 60), scale=1.0, on_activate_call=self._cancel, autoselect=True, label=ba.Lstr(resource='cancelText')) self._purchase_button = ba.buttonwidget( parent=self._root_widget, position=(self._width - 200, 40), size=(150, 60), scale=1.0, on_activate_call=self._purchase, autoselect=True, label=ba.Lstr(resource='store.purchaseText')) ba.containerwidget(edit=self._root_widget, cancel_button=self._cancel_button, start_button=self._purchase_button, selected_child=self._purchase_button) def _update(self) -> None: from ba.internal import have_pro can_die = False # We go away if we see that our target item is owned. if self._items == ['pro']: if have_pro(): can_die = True else: if _ba.get_purchased(self._items[0]): can_die = True if can_die: ba.containerwidget(edit=self._root_widget, transition='out_left') def _purchase(self) -> None: from bastd.ui import getcurrency if self._items == ['pro']: _ba.purchase('pro') else: ticket_count: Optional[int] try: ticket_count = _ba.get_account_ticket_count() except Exception: ticket_count = None if ticket_count is not None and ticket_count < self._price: getcurrency.show_get_tickets_prompt() ba.playsound(ba.getsound('error')) return def do_it() -> None: 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8030, 29898, 5628, 29922, 1311, 3032, 4632, 29918, 8030, 29892, 13, 462, 965, 12611, 29918, 3092, 29922, 1311, 3032, 20713, 29918, 3092, 29892, 13, 462, 965, 1369, 29918, 3092, 29922, 1311, 3032, 29886, 27574, 29918, 3092, 29892, 13, 462, 965, 4629, 29918, 5145, 29922, 1311, 3032, 29886, 27574, 29918, 3092, 29897, 13, 13, 1678, 822, 903, 5504, 29898, 1311, 29897, 1599, 6213, 29901, 13, 4706, 515, 9922, 29889, 7564, 1053, 505, 29918, 771, 13, 4706, 508, 29918, 16217, 353, 7700, 13, 13, 4706, 396, 1334, 748, 3448, 565, 591, 1074, 393, 1749, 3646, 2944, 338, 15205, 29889, 13, 4706, 565, 1583, 3032, 7076, 1275, 6024, 771, 2033, 29901, 13, 9651, 565, 505, 29918, 771, 7295, 13, 18884, 508, 29918, 16217, 353, 5852, 13, 4706, 1683, 29901, 13, 9651, 565, 903, 2291, 29889, 657, 29918, 29886, 2458, 1463, 29898, 1311, 3032, 7076, 29961, 29900, 29962, 1125, 13, 18884, 508, 29918, 16217, 353, 5852, 13, 13, 4706, 565, 508, 29918, 16217, 29901, 13, 9651, 9922, 29889, 7611, 8030, 29898, 5628, 29922, 1311, 3032, 4632, 29918, 8030, 29892, 9558, 2433, 449, 29918, 1563, 1495, 13, 13, 1678, 822, 903, 29886, 27574, 29898, 1311, 29897, 1599, 6213, 29901, 13, 4706, 515, 21156, 29881, 29889, 1481, 1053, 679, 26095, 13, 4706, 565, 1583, 3032, 7076, 1275, 6024, 771, 2033, 29901, 13, 9651, 903, 2291, 29889, 29886, 27574, 877, 771, 1495, 13, 4706, 1683, 29901, 13, 9651, 23381, 29918, 2798, 29901, 28379, 29961, 524, 29962, 13, 9651, 1018, 29901, 13, 18884, 23381, 29918, 2798, 353, 903, 2291, 29889, 657, 29918, 10149, 29918, 29873, 8522, 29918, 2798, 580, 13, 9651, 5174, 8960, 29901, 13, 18884, 23381, 29918, 2798, 353, 6213, 13, 9651, 565, 23381, 29918, 2798, 338, 451, 6213, 322, 23381, 29918, 2798, 529, 1583, 3032, 9175, 29901, 13, 18884, 679, 26095, 29889, 4294, 29918, 657, 29918, 24667, 1691, 29918, 14032, 415, 580, 13, 18884, 9922, 29889, 12922, 618, 29898, 2291, 29889, 20078, 618, 877, 2704, 8785, 13, 18884, 736, 13, 13, 9651, 822, 437, 29918, 277, 580, 1599, 6213, 29901, 13, 18884, 903, 2291, 29889, 262, 29918, 11802, 29918, 29886, 27574, 29898, 1311, 3032, 7076, 29961, 29900, 1402, 1583, 3032, 9175, 29897, 13, 13, 9651, 9922, 29889, 12922, 618, 29898, 2291, 29889, 20078, 618, 877, 2774, 728, 8785, 13, 9651, 437, 29918, 277, 580, 13, 13, 1678, 822, 903, 20713, 29898, 1311, 29897, 1599, 6213, 29901, 13, 4706, 9922, 29889, 7611, 8030, 29898, 5628, 29922, 1311, 3032, 4632, 29918, 8030, 29892, 9558, 2433, 449, 29918, 1266, 1495, 13, 2 ]
models/ir_model.py	OSevangelist/vsf-odoo	84	71571	from odoo import fields, models class IrModel(models.Model): _inherit = 'ir.model' rest_api = fields.Boolean('REST API', default=True, help="Allow this model to be fetched through REST API")	[ 1, 515, 288, 1867, 29877, 1053, 29871, 4235, 29892, 4733, 13, 13, 1990, 6600, 3195, 29898, 9794, 29889, 3195, 1125, 13, 13, 1678, 903, 262, 27069, 353, 525, 381, 29889, 4299, 29915, 13, 1678, 1791, 29918, 2754, 353, 4235, 29889, 18146, 877, 1525, 1254, 3450, 742, 2322, 29922, 5574, 29892, 13, 462, 795, 1371, 543, 15930, 445, 1904, 304, 367, 6699, 287, 1549, 16759, 3450, 1159, 13, 2 ]
models/Family.py	Eric-Fernandes-529/Final_Project_SW555	0	171104	class Family: ''' This is the class for Family. id is the only variable that is required. If other variable does not exist, it would return None If children does not exist, it would return an empty list all date value are passed in as str, and saved as tuple with formate (year, month, day) ''' def __init__(self, id: str): # from Individual import Individual self.id = id self._husband = None self._wife = None self._marriedDate = None self._divorced = None self._children = [] self._lineNum = {} def get_lineNum(self) -> {}: return self._lineNum def get_id(self) -> str: return self.id def get_husband(self): return self._husband def get_wife(self): return self._wife def get_marriedDate(self) -> tuple: return self._marriedDate def get_divorcedDate(self) -> tuple: return self._divorced def get_children(self) -> list: return self._children def set_lineNum(self, lineNumberDict)->None: self._lineNum = lineNumberDict def set_husband(self, husband) -> None: ##if not isinstance(husband, Individual): raise TypeError("input has to be a Individual type") self._husband = husband def set_wife(self, wife) -> None: ##if not isinstance(wife, Individual): raise TypeError("input has to be a Individual type") self._wife = wife def set_marriedDate(self, married_date: tuple) -> None: ##if not isinstance(married_date, str): raise TypeError("input has to be a str type") if all(isinstance(v, int) for v in married_date): self._marriedDate = married_date return self._marriedDate = self.change_date_formate(married_date) def set_divorcedDate(self, divorced_date: tuple) -> None: ##if not isinstance(divorced_date, str): raise TypeError("input has to be a str type") if all(isinstance(v, int) for v in divorced_date): self._divorcedDate = divorced_date return self._divorced = self.change_date_formate(divorced_date) def set_children(self, children_list: list) -> None: ##if not isinstance(children_list, list): raise TypeError("input has to be a list type") self._children = children_list def add_child(self, child) -> None: ''' this function would add one kid into the children list ''' ##if not isinstance(child, Individual): raise TypeError("input has to be a Individual type") self._children.append(child) def change_date_formate(self, date: list) -> tuple: ''' Would take the string input and convert it into a int tuple:(year, month, day) ''' monthList = {"JAN": 1, "FEB": 2, "MAR": 3, "APR": 4, "MAY": 5, "JUN": 6, "JUL": 7, "AUG": 8, "SEP": 9, "OCT": 10, "NOV": 11, "DEC": 12} return int(date[2]), monthList[date[1]], int(date[0]) def multiple_births_lessOrEqual_than_5(self): # cannot catch multi multiples; not sure if need to from datetime import date today = date.today() try: births = sorted( list(map(lambda i: abs((date(i) - today).days), [x.get_birthDate() for x in self.get_children()]))) except AttributeError: raise AttributeError("Missing birthdate for children") if len(births) <= 5: return True multi, sameDay, pre = 0, 0, births[0] for i in range(len(births)): if pre == births[i]: multi += 1 sameDay += 1 elif births[i] - pre == 1: multi, sameDay = sameDay + 1, 1 else: multi, sameDay = 1, 1 pre = births[i] if multi >= 5: return False return True def parents_not_too_old(self): if not self._husband or not self._wife: raise AttributeError("Error: missing husband or wife") if not self._husband.get_age() or not self._wife.get_age(): raise AttributeError( "Error: missing age for husband or wife") if not self._husband.get_age() or not self._wife.get_age(): raise AttributeError("Error: missing age for husband or wife") wife_age = self._wife.get_age() husband_age = self._husband.get_age() for child in self._children: if not child.get_age(): raise AttributeError("Error: missing child age") wife_diff = wife_age - child.get_age() husband_diff = husband_age - child.get_age() if wife_diff >= 60 or husband_diff >= 80: return False return True def marriage_before_divorce(self): from datetime import date marriage = self.get_marriedDate() divorce = self.get_divorcedDate() if not marriage: raise AttributeError("Missing marriage date") if not divorce: return True timedelta = date(marriage) - date(divorce) return timedelta.days < 0 def marriage_after_14(self) -> bool: from datetime import date if not self._husband or not self._wife or not self._marriedDate: raise AttributeError( "Missing husband/wife/marriedDate") if not self._husband.get_birthDate() or not self._wife.get_birthDate(): raise AttributeError( "Missing birthdate for husband/wife") if not self._husband or not self._wife or not self._marriedDate: raise AttributeError("Missing husband/wife/marriedDate") if not self._husband.get_birthDate() or not self._wife.get_birthDate(): raise AttributeError("Missing birthdate for husband/wife") husbandMarryAge = (date(self._marriedDate) - date(self._husband.get_birthDate())).days // 365 wifeMarryAge = (date(self._marriedDate) - date(self._wife.get_birthDate())).days // 365 return husbandMarryAge > 14 and wifeMarryAge > 14 def marriage_before_death(self): from datetime import date if not self._husband or not self._wife or not self.get_marriedDate(): raise AttributeError( "Missing husband/wife/marriedDate") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True death = None if not self._husband.get_deathDate(): death = self._wife.get_deathDate() elif not self._wife.get_deathDate(): death = self._husband.get_deathDate() if not self._husband or not self._wife or not self.get_marriedDate(): raise AttributeError("Missing husband/wife/marriedDate") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True death = None if not self._husband.get_deathDate(): death = self._wife.get_deathDate() elif not self._wife.get_deathDate(): death = self._husband.get_deathDate() else: if self._husband.get_deathDate() > self._wife.get_deathDate(): death = self._wife.get_deathDate() else: death = self._husband.get_deathDate() marriage = self._marriedDate timedelta = date(marriage) - date(death) return timedelta.days <= 0 def divorce_before_death(self) -> bool: from datetime import date if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True if not self._divorced: return True deathdays = None if not self._husband.get_deathDate(): deathdays = (date(self._divorced) - date(self._husband.get_deathDate())).days elif not self._wife.get_deathDate(): deathdays = (date(self._divorced) - date(self._wife.get_deathDate())).days else: deathdays = (date(self._divorced) - date(self._husband.get_deathDate())).days if deathdays > (date(self._divorced) - date(self._wife.get_deathDate())).days: deathdays = (date(self._divorced) - date(self._wife.get_deathDate())).days return deathdays < 0 def birth_before_marriage_of_parents(self): if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self.get_marriedDate():raise AttributeError("Missing marrageDate") for c in self._children: if not c.get_birthDate(): raise AttributeError("Missing child birthDate") if c.get_birthDate() <= self.get_marriedDate(): return False return True def birth_before_death_of_parents(self): if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True if len(self._children) == 0: return True death = self._wife.get_deathDate() hDeath = self._husband.get_deathDate() if not hDeath: for c in self._children: if c.get_birthDate() > death: return False return True hDeath = hDeath + (0, 9, 0) if hDeath[1] > 12: hDeath[1] = hDeath[1] % 12 hDeath[0] = hDeath[0] + 1 if not death: for c in self._children: if c.get_birthDate() > hDeath: return False return True if hDeath < death: if not death and not hDeath: return True if hDeath: hDeath = tuple(map(sum, zip(hDeath, (0,9,0)))) if hDeath[1] > 12: hDeath[1] = hDeath[1] % 12 hDeath[0] = hDeath[0] + 1 if death is None or hDeath < death: death = hDeath for c in self._children: if c.get_birthDate() > death: return False return True def siblings_spacing(self): from datetime import date threshold = [1, 240] # 8 month is ambiguous, let's just assume 830=240 days n = len(self.get_children()) if n < 2: return True sumOfDifference = 0 for i in range(n - 1): timedelta = date(self.get_children()[i].get_birthDate()) - date(self.get_children()[i + 1].get_birthDate()) sumOfDifference += abs(timedelta.days) return not (threshold[0] < sumOfDifference // (n - 1) < threshold[1]) def fewer_than_15_siblings(self): """ if self._children is empty, it is a empty list which the length is 0 :return: boolean if the length of self._children is less then 15 """ return len(self._children) < 15 def correct_gender_for_role(self): """ throw error when missing husband/wife or missing gender of husband/wife :return: boolean from compare the string of husband and wife gender """ if (not self._husband or not self._wife): raise AttributeError("missing husband or wife") if (not self._husband.get_gender() or not self._wife.get_gender()): raise AttributeError( "missing gender of husband or wife") return self._husband.get_gender() == "M" and self._wife.get_gender() == "F" def male_last_names(self): if not self._husband: raise AttributeError("Missing Father") if not self._husband.get_name(): raise AttributeError("Missing Father's name") check_last_name = self._husband.get_name().split(' ')[1] def dfs(family, last_name): flag = True for child in family.get_children(): if child.get_gender() == None: raise AttributeError("child's gender is not set yet") if child.get_gender() == "F": continue if not child.get_name(): raise AttributeError("Child's name is missing") if child.get_name().split(' ')[1] != last_name: return False for fam in child.get_family(): flag = dfs(fam) and flag return flag return dfs(self, check_last_name) def siblings_should_not_marry(self): if not self._husband or not self._wife: raise AttributeError("Missing husband or wife") if not self._husband.get_parent_family() and not self._wife.get_parent_family(): raise AttributeError("Missing husband and wife parent") return not self._husband.get_parent_family().get_id() == self._wife.get_parent_family().get_id() def order_siblings_by_age(self): """ Need one extra step which filters out the Nones. Not sure if necessary. :return: list of references in the order of descending age """ res = sorted(self.get_children(), key=lambda x: x.get_age(days=True), reverse=True) return list(filter(lambda x: x.get_birthDate() != None, res)) if __name__ == "__main__": pass # from models.Individual import Individual #from models.Individual import Individual # ---------------------------testing cases below---------------------------	[ 1, 770, 14662, 29901, 13, 1678, 14550, 13, 1678, 910, 338, 278, 770, 363, 14662, 29889, 13, 1678, 1178, 338, 278, 871, 2286, 393, 338, 3734, 29889, 960, 916, 2286, 947, 451, 1863, 29892, 372, 723, 736, 6213, 13, 1678, 960, 4344, 947, 451, 1863, 29892, 372, 723, 736, 385, 4069, 1051, 13, 1678, 599, 2635, 995, 526, 4502, 297, 408, 851, 29892, 322, 7160, 408, 18761, 411, 883, 403, 313, 6360, 29892, 4098, 29892, 2462, 29897, 13, 1678, 14550, 13, 13, 1678, 822, 4770, 2344, 12035, 1311, 29892, 1178, 29901, 851, 1125, 13, 4706, 396, 515, 1894, 23352, 1053, 1894, 23352, 13, 4706, 1583, 29889, 333, 353, 1178, 13, 4706, 1583, 3032, 14116, 4980, 353, 6213, 13, 4706, 1583, 3032, 29893, 1607, 353, 6213, 13, 4706, 1583, 3032, 3034, 1255, 2539, 353, 6213, 13, 4706, 1583, 3032, 4563, 272, 1133, 353, 6213, 13, 4706, 1583, 3032, 11991, 353, 5159, 13, 4706, 1583, 3032, 1220, 8009, 353, 6571, 13, 13, 1678, 822, 679, 29918, 1220, 8009, 29898, 1311, 29897, 1599, 426, 6177, 13, 4706, 736, 1583, 3032, 1220, 8009, 13, 13, 1678, 822, 679, 29918, 333, 29898, 1311, 29897, 1599, 851, 29901, 13, 4706, 736, 1583, 29889, 333, 13, 13, 1678, 822, 679, 29918, 14116, 4980, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 14116, 4980, 13, 13, 1678, 822, 679, 29918, 29893, 1607, 29898, 1311, 1125, 13, 4706, 736, 1583, 3032, 29893, 1607, 13, 13, 1678, 822, 679, 29918, 3034, 1255, 2539, 29898, 1311, 29897, 1599, 18761, 29901, 13, 4706, 736, 1583, 3032, 3034, 1255, 2539, 13, 13, 1678, 822, 679, 29918, 4563, 272, 1133, 2539, 29898, 1311, 29897, 1599, 18761, 29901, 13, 4706, 736, 1583, 3032, 4563, 272, 1133, 13, 13, 1678, 822, 679, 29918, 11991, 29898, 1311, 29897, 1599, 1051, 29901, 13, 4706, 736, 1583, 3032, 11991, 13, 13, 1678, 822, 731, 29918, 1220, 8009, 29898, 1311, 29892, 1196, 4557, 21533, 19969, 8516, 29901, 13, 308, 1583, 3032, 1220, 8009, 353, 1196, 4557, 21533, 13, 13, 1678, 822, 731, 29918, 14116, 4980, 29898, 1311, 29892, 10216, 29897, 1599, 6213, 29901, 13, 4706, 444, 361, 451, 338, 8758, 29898, 14116, 4980, 29892, 1894, 23352, 1125, 12020, 20948, 703, 2080, 756, 304, 367, 263, 1894, 23352, 1134, 1159, 13, 4706, 1583, 3032, 14116, 4980, 353, 10216, 13, 13, 1678, 822, 731, 29918, 29893, 1607, 29898, 1311, 29892, 6532, 29897, 1599, 6213, 29901, 13, 13, 4706, 444, 361, 451, 338, 8758, 29898, 29893, 1607, 29892, 1894, 23352, 1125, 12020, 20948, 703, 2080, 756, 304, 367, 263, 1894, 23352, 1134, 1159, 13, 4706, 1583, 3032, 29893, 1607, 353, 6532, 13, 13, 1678, 822, 731, 29918, 3034, 1255, 2539, 29898, 1311, 29892, 8300, 29918, 1256, 29901, 18761, 29897, 1599, 6213, 29901, 13, 13, 4706, 444, 361, 451, 338, 8758, 29898, 3034, 1255, 29918, 1256, 29892, 851, 1125, 12020, 20948, 703, 2080, 756, 304, 367, 263, 851, 1134, 1159, 13, 4706, 565, 599, 29898, 275, 8758, 29898, 29894, 29892, 938, 29897, 363, 325, 297, 8300, 29918, 1256, 1125, 13, 9651, 1583, 3032, 3034, 1255, 2539, 353, 8300, 29918, 1256, 13, 9651, 736, 13, 4706, 1583, 3032, 3034, 1255, 2539, 353, 1583, 29889, 3167, 29918, 1256, 29918, 689, 403, 29898, 3034, 1255, 29918, 1256, 29897, 13, 13, 1678, 822, 731, 29918, 4563, 272, 1133, 2539, 29898, 1311, 29892, 25074, 1133, 29918, 1256, 29901, 18761, 29897, 1599, 6213, 29901, 13, 13, 4706, 444, 361, 451, 338, 8758, 29898, 4563, 272, 1133, 29918, 1256, 29892, 851, 1125, 12020, 20948, 703, 2080, 756, 304, 367, 263, 851, 1134, 1159, 13, 4706, 565, 599, 29898, 275, 8758, 29898, 29894, 29892, 938, 29897, 363, 325, 297, 25074, 1133, 29918, 1256, 1125, 13, 9651, 1583, 3032, 4563, 272, 1133, 2539, 353, 25074, 1133, 29918, 1256, 13, 9651, 736, 13, 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thermo/flash/__init__.py	RoryKurek/thermo	380	188466	# -- coding: utf-8 -- '''Chemical Engineering Design Library (ChEDL). Utilities for process modeling. Copyright (C) 2019, 2020 <NAME> <<EMAIL>> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. This module contains classes and functions for performing flash calculations. For reporting bugs, adding feature requests, or submitting pull requests, please use the `GitHub issue tracker <https://github.com/CalebBell/thermo/>`_. .. contents:: :local: Main Interfaces =============== Pure Components --------------- .. autoclass:: FlashPureVLS :show-inheritance: :members: __init__ :exclude-members: __init__ Vapor-Liquid Systems -------------------- .. autoclass:: FlashVL :show-inheritance: :members: __init__ :exclude-members: __init__ Vapor and Multiple Liquid Systems --------------------------------- .. autoclass:: FlashVLN :show-inheritance: :members: __init__ :exclude-members: __init__ Base Flash Class ---------------- .. autoclass:: Flash :show-inheritance: :members: flash, plot_TP :exclude-members: Specific Flash Algorithms ========================= It is recommended to use the Flash classes, which are designed to have generic interfaces. The implemented specific flash algorithms may be changed in the future, but reading their source code may be helpful for instructive purposes. ''' from . import flash_utils from . import flash_base from . import flash_vl from . import flash_vln from . import flash_pure_vls from .flash_utils import * from .flash_base import * from .flash_vl import * from .flash_vln import * from .flash_pure_vls import * __all__ = (flash_utils.__all__ + flash_base.__all__ + flash_vl.__all__ + flash_vln.__all__ + flash_pure_vls.__all__)	[ 1, 396, 448, 29930, 29899, 14137, 29901, 23616, 29899, 29947, 448, 29930, 29899, 13, 12008, 1451, 331, 936, 22557, 12037, 9538, 313, 1451, 3352, 29931, 467, 22310, 1907, 363, 1889, 1904, 292, 29889, 13, 11882, 1266, 313, 29907, 29897, 29871, 29906, 29900, 29896, 29929, 29892, 29871, 29906, 29900, 29906, 29900, 529, 5813, 29958, 3532, 26862, 6227, 6778, 13, 13, 27293, 338, 1244, 1609, 16896, 29892, 3889, 310, 8323, 29892, 304, 738, 2022, 4017, 292, 263, 3509, 13, 974, 445, 7047, 322, 6942, 5106, 2066, 313, 1552, 376, 6295, 14093, 4968, 304, 5376, 13, 262, 278, 18540, 1728, 24345, 29892, 3704, 1728, 29485, 278, 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improved_ddm/run_multihead_split.py	mlii/variational-continual-learning	0	168059	import numpy as np import tensorflow as tf import gzip import cPickle import sys sys.path.extend(['alg/']) import vcl import coreset import utils class SplitMnistGenerator(): def __init__(self): # Open data file f = gzip.open('data/mnist.pkl.gz', 'rb') train_set, valid_set, test_set = cPickle.load(f) f.close() # Define train and test data self.X_train = np.vstack((train_set[0], valid_set[0])) self.X_test = test_set[0] self.train_label = np.hstack((train_set[1], valid_set[1])) self.test_label = test_set[1] # split MNIST task1 = [0, 1] task2 = [2, 3] task3 = [4, 5] task4 = [6, 7] task5 = [8, 9] self.sets = [task1, task2, task3, task4, task5] self.max_iter = len(self.sets) self.out_dim = 0 # Total number of unique classes self.class_list = [] # List of unique classes being considered, in the order they appear for task_id in range(self.max_iter): for class_index in range(len(self.sets[task_id])): if self.sets[task_id][class_index] not in self.class_list: # Convert from MNIST digit numbers to class index number by using self.class_list.index(), # which is done in self.classes self.class_list.append(self.sets[task_id][class_index]) self.out_dim = self.out_dim + 1 # self.classes is the classes (with correct indices for training/testing) of interest at each task_id self.classes = [] for task_id in range(self.max_iter): class_idx = [] for i in range(len(self.sets[task_id])): class_idx.append(self.class_list.index(self.sets[task_id][i])) self.classes.append(class_idx) self.cur_iter = 0 def get_dims(self): # Get data input and output dimensions return self.X_train.shape[1], self.out_dim def next_task(self): if self.cur_iter >= self.max_iter: raise Exception('Number of tasks exceeded!') else: next_x_train = [] next_y_train = [] next_x_test = [] next_y_test = [] # Loop over all classes in current iteration for class_index in range(np.size(self.sets[self.cur_iter])): # Find the correct set of training inputs train_id = np.where(self.train_label == self.sets[self.cur_iter][class_index])[0] # Stack the training inputs if class_index == 0: next_x_train = self.X_train[train_id] else: next_x_train = np.vstack((next_x_train, self.X_train[train_id])) # Initialise next_y_train to zeros, then change relevant entries to ones, and then stack next_y_train_interm = np.zeros((len(train_id), self.out_dim)) next_y_train_interm[:, self.classes[self.cur_iter][class_index]] = 1 if class_index == 0: next_y_train = next_y_train_interm else: next_y_train = np.vstack((next_y_train, next_y_train_interm)) # Repeat above process for test inputs test_id = np.where(self.test_label == self.sets[self.cur_iter][class_index])[0] if class_index == 0: next_x_test = self.X_test[test_id] else: next_x_test = np.vstack((next_x_test, self.X_test[test_id])) next_y_test_interm = np.zeros((len(test_id), self.out_dim)) next_y_test_interm[:, self.classes[self.cur_iter][class_index]] = 1 if class_index == 0: next_y_test = next_y_test_interm else: next_y_test = np.vstack((next_y_test, next_y_test_interm)) self.cur_iter += 1 return next_x_train, next_y_train, next_x_test, next_y_test def reset(self): self.cur_iter = 0 store_weights = True # Store weights after training on each task (for plotting later) multi_head = True # Multi-head or single-head network hidden_size = [200] # Size and number of hidden layers batch_size = 256 # Batch size no_epochs = 600 # Number of training epochs per task # No coreset tf.compat.v1.reset_default_graph() random_seed = 0 tf.compat.v1.set_random_seed(random_seed+1) np.random.seed(random_seed) path = 'model_storage/split/' # Path where to store files data_gen = SplitMnistGenerator() coreset_size = 0 vcl_result = vcl.run_vcl_shared(hidden_size, no_epochs, data_gen, coreset.rand_from_batch, coreset_size, batch_size, path, multi_head, store_weights=store_weights) # Store accuracies np.savez(path + 'test_acc.npz', acc=vcl_result) # Random coreset tf.compat.v1.reset_default_graph() random_seed = 0 tf.compat.v1.set_random_seed(random_seed+1) np.random.seed(random_seed) path = 'model_storage/split_coreset/' # Path where to store files data_gen = SplitMnistGenerator() coreset_size = 40 vcl_result_coresets = vcl.run_vcl_shared(hidden_size, no_epochs, data_gen, coreset.rand_from_batch, coreset_size, batch_size, path, multi_head, store_weights=store_weights) # Store accuracies np.savez(path + 'test_acc.npz', acc=vcl_result_coresets) # Plot average accuracy utils.plot('model_storage/split_mnist_', vcl_result, vcl_result_coresets)	[ 1, 1053, 12655, 408, 7442, 13, 5215, 26110, 408, 15886, 13, 5215, 330, 7554, 13, 5215, 274, 29925, 860, 280, 13, 5215, 10876, 13, 9675, 29889, 2084, 29889, 21843, 18959, 9564, 29914, 11287, 13, 5215, 325, 695, 13, 5215, 28337, 300, 13, 5215, 3667, 29879, 13, 13, 13, 1990, 26178, 29924, 29876, 391, 21575, 7295, 13, 1678, 822, 4770, 2344, 12035, 1311, 1125, 13, 4706, 396, 4673, 848, 934, 13, 4706, 285, 353, 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catalog/client/services/catalog.py	eoss-cloud/madxxx_catalog_api	0	11611	<gh_stars>0 #-- coding: utf-8 -- """ EOSS catalog system functionality for the catalog endpoint """ from utilities.web_utils import remote_file_exists __author__ = "<NAME>, <NAME>" __copyright__ = "Copyright 2016, EOSS GmbH" __credits__ = ["<NAME>", "<NAME>"] __license__ = "GPL" __version__ = "1.0.0" __maintainer__ = "<NAME>" __email__ = "<EMAIL>" __status__ = "Production" import datetime import ujson import time import dateparser import falcon try: import cStringIO as StringIO except ImportError: import StringIO import csv from xlsxwriter import Workbook from dateutil.parser import parse import numpy from sqlalchemy import and_ import logging from collections import defaultdict from model.orm import Catalog_Dataset, Spatial_Reference from api import General_Structure from .db_calls import Persistance from . import getKeysFromDict from .tools import get_base_url, can_zip_response, compress_body, serialize, make_GeoJson from api_logging import logger def date_handler(obj): if hasattr(obj, 'isoformat'): return obj.isoformat() else: raise TypeError GRID_SYSTEMS = {'Sentinel - 2A': 10, 'LANDSAT_ETM': 11, 'LANDSAT_ETM_SLC_OFF': 11, 'OLI_TIRS': 11, 'TIRS': 11} class Catalog(object): """ EOSS catalog class from web API """ def __init__(self): self.logger = logging.getLogger('eoss.' + __name__) self.aggregations = defaultdict(list) for agg in Persistance().get_all_sensor_aggregations(): self.aggregations[agg.aggregation_name.lower()].append(agg) def _query_(self, areas, dates, sensors, clouds): sensors_filter = list() grid_list = defaultdict(set) for sensor_grid in set(GRID_SYSTEMS.values()): if 'ref_group' in areas[0].keys(): ref_type_id, ref_id = areas[0]['ref_group'], areas[0]['ref_id'] spatial_query = Persistance().get_reference_by_sensorgrid(ref_id, ref_type_id, sensor_grid) elif 'aoi' in areas[0].keys(): aoi = areas[0]['aoi'] spatial_query = Persistance().get_referencebyaoi(aoi, sensor_grid) for grid in spatial_query.all(): grid_list[sensor_grid].add(grid) if len(grid_list) == 0: description = 'Please specify valid reference object for data. (type:%s, id:%s)' \ % (ref_type_id, ref_id) raise falcon.HTTPBadRequest('SensorGrid', description, href='http://docs.example.com/auth') joint_gridset = grid_list[10] \| grid_list[11] # TODO: better grid system handling from extra table? for item in sensors: sensor, level = item['sensor_name'], item['level'] if len(sensor) > 0 and len(level) > 0: sensors_filter.append(and_(Catalog_Dataset.level == level, Catalog_Dataset.sensor == sensor)) elif len(sensor) == 0 and len(level) > 0: sensors_filter.append(Catalog_Dataset.level == level) elif len(sensor) > 0 and len(level) == 0: sensors_filter.append(Catalog_Dataset.sensor == sensor) dates_filter = list() for item in dates: # ExtJS POST requests has provides unicode body if type(item["start_date"]) is unicode: item["start_date"] = parse(item["start_date"]) if type(item["end_date"]) is unicode: item["end_date"] = parse(item["end_date"]) dates_filter.append( and_(Catalog_Dataset.acq_time >= item["start_date"].isoformat(), Catalog_Dataset.acq_time <= item["end_date"].isoformat())) query = Persistance().find_dataset(dates_filter, sensors_filter, grid_list, joint_gridset, clouds) return query def _get_datasets(self, query): query_result = list() for ds in query: values = dict() types = dict() for k, v in ds.__dict__.iteritems(): if '_' != k[0]: values[k] = v types[k] = type(v) x = General_Structure(values, types) x.__class__.__name__ = 'Catalog_Dataset' query_result.append(serialize(x, as_json=False)['data']) return query_result # TODO: tiles list as input - only first will be returned or exception thrown ! def _query_tile_geom(self, tiles): tile_objs = Persistance().get_tile_geom(tiles) return tile_objs.all() def _export_query(self, found_dataset): row_keys = ['tile_identifier', 'entity_id', 'acq_time', 'clouds'] resources = [('resources', 'metadata'), ('resources', 'quicklook')] row = list() rows = list() for k in row_keys: row.append(k) for k in resources: row.append(' '.join(k)) row.append('data') rows.append(row) for ds in found_dataset: row = list() for k in row_keys: row.append(ds.get(k)) for k in resources: row.append(getKeysFromDict(ds, k)) if ds.get('sensor') in ['LANDSAT_TM', 'LANDSAT_ETM', 'LANDSAT_ETM_SLC_OFF']: if 'google' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'google', 'link'))) elif 'usgs' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'usgs', 'link'))) else: row.append('?') elif ds.get('sensor') in ['OLI_TIRS', 'OLI', 'TIRS']: if 's3public' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 's3public', 'zip'))) elif 'google' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'google', 'link'))) elif ds.get('sensor') in ['Sentinel-2A']: if 's3public' in ds.get('resources').keys(): if getKeysFromDict(ds, ('resources', 's3public')) != None: row.append(getKeysFromDict(ds, ('resources', 's3public', 'zip'))) else: row.append('?') else: row.append('?') rows.append(row) return rows class CatalogApi(Catalog): def __init__(self, my_router): Catalog.__init__(self) self.router = my_router def on_get(self, req, resp, format, check_resources=False): """Handles GET requests http://localhost:8000/catalog/search/result.json?from_date=2016-05-01&to_date=2016-06-02&sensor=sentinel2&ref_group=9&ref_id=73&clouds=50 """ BASE_URL = get_base_url(req.url) start_time = time.time() query_filter = req.params results = dict() results['action'] = 'catalog search' results['action-time'] = str(datetime.datetime.now()) results.update({'query': query_filter}) dates = list() sensor_list = list() try: for date_string in ['from_date', 'to_date']: date = dateparser.parse(req.params[date_string]) if date is None: description = 'Please format date propery, used %s:%s.' % (date_string, date) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') else: dates.append(date) if dates[0] == dates[1]: description = 'Given dates didnt cover date range. Please correct date span. (%s-%s)' \ % (req.params['from_date'], req.params['to_date']) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') elif dates[0] > dates[1]: description = 'Given end date is before start date. Please reverse dates. (%s-%s)' \ % (req.params['from_date'], req.params['to_date']) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') if not req.params['sensor'].lower() in self.aggregations.keys(): description = 'Sensor label is unknown in aggregation table, use %s' % str(map(str, self.aggregations.keys())) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') for agg in self.aggregations[req.params['sensor'].lower()]: sensor_list.append({"sensor_name": agg.sensor, "level": agg.level}) ref_group, ref_id, clouds = int(req.params['ref_group']), int(req.params['ref_id']), int(req.params['clouds']) except KeyError, e: description = 'Search key: %s missing in query.' % e raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') except ValueError, e: description = 'Given parameters contain bad values: %s'% str(e) raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') query = self._query_([{"ref_group": ref_group, "ref_id": ref_id}], [{"start_date": dates[0], "end_date": dates[1]}], sensor_list, clouds) query_struct = {'area':[{"ref_group": ref_group, "ref_id": ref_id}], 'dates':[{"start_date": dates[0], "end_date": dates[1]}], 'sensors':sensor_list, 'clouds':clouds } found_dataset = self._get_datasets(query) logger.info('[GET] /catalog/search/result.%s' % format, extra={x:str(y) for x,y in query_struct.iteritems()}) if check_resources: for ds in found_dataset: if 's3public' in ds['resources'].keys(): if 'zip' in ds['resources']['s3public'].keys(): if not remote_file_exists( ds['resources']['s3public']['zip']): print '%s missing' % ds['resources']['s3public']['zip'] if format.lower() == 'json': if 'search/count' in req.url: results['count'] = query.count() else: results['count'] = query.count() results['found_dataset'] = found_dataset results['found_tiles'] = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) results['found_resources'] = [BASE_URL + self.router.reverse('dataset_entity', entity_id=x['entity_id']) for x in results['found_dataset']] results['processing_time'] = time.time() - start_time elif format.lower() == 'geojson': tilegrids = defaultdict(lambda: defaultdict(list)) geoms, attrs = list(), list() for x in found_dataset: tilegrids[x['tile_identifier']]['acq_time'].append(x['acq_time']) # tilegrids[x['tile_identifier']]['acq_time_js'].append( # int(time.mktime(dateparser.parse(x['acq_time']).timetuple())) * 1000) tilegrids[x['tile_identifier']]['tile_identifier'].append(x['tile_identifier']) tilegrids[x['tile_identifier']]['clouds'].append(x['clouds']) for tile_id in tilegrids.keys(): tilegrids[tile_id]['count'] = len(tilegrids[tile_id]['clouds']) tilegrids[tile_id]['tile_identifier'] = tilegrids[tile_id]['tile_identifier'][0] tiles_dict = dict() if len(tilegrids.keys()) > 0: for ref_name, geom in self._query_tile_geom(tilegrids.keys()): tiles_dict[ref_name] = geom for tile_id in tilegrids.keys(): geoms.append(ujson.loads(tiles_dict[tile_id])) attrs.append(tilegrids[tile_id]) results = make_GeoJson(geoms, attrs) elif format.lower() == 'csv': rows = self._export_query(found_dataset) si = StringIO.StringIO() cw = csv.writer(si, delimiter='\t') for row in rows: cw.writerow(row) results = si.getvalue().strip('\r\n') elif format.lower() == 'xlsx': rows = self._export_query(found_dataset) strIO = StringIO.StringIO() workbook = Workbook(strIO, {'in_memory': True, 'constant_memory': True}) bold = workbook.add_format({'bold': True}) big_bold = workbook.add_format({'bold': True, 'size': 20}) italic = workbook.add_format({'italic': True}) worksheet = workbook.add_worksheet(name='EOSS analysis') worksheet.write(0, 0, 'EOSS data analysis', big_bold) ref_obj = Persistance().get_reference(query_filter.get('ref_id'), query_filter.get('ref_group')).one() query_filter['reference_name'] = ref_obj.ref_name query_filter['reference_type'] = ref_obj.referencetype.name # {'clouds': '60', 'ref_id': '5502', 'from_date': '09/07/2016', 'to_date': '10/07/2016', 'ref_group': '12', 'sensor': 'Sentinel2'} r = 3 worksheet.write(r - 1, 0, 'query filter:', big_bold) for c, k in enumerate(['sensor', 'from_date', 'to_date', 'clouds', 'reference_name', 'reference_type']): worksheet.write(r + c, 0, k, bold) worksheet.write(r + c, 1, query_filter[k]) r = 13 worksheet.write(r - 2, 0, 'query set:', big_bold) for c, k in enumerate(rows[0]): worksheet.write(r - 1, c, k, bold) for values in rows[1:]: for c, v in enumerate(values): worksheet.write(r, c, v) r += 1 workbook.close() strIO.seek(0) results = strIO.read() elif format.lower() == 'hist': found_tiles = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) result_list = [] first = dict() first['tile_identifier'] = 'percentagelabel' first['span'] = 100 result_list.append(first) data = numpy.zeros((len(found_dataset))) tileslist = [] i = 0 for x in found_dataset: tileslist.append(x['tile_identifier']) data[i] = float(x['clouds']) i = i + 1 for t in found_tiles: ix = numpy.array(tileslist) == t subset_clouds = data[ix] num_scenes = sum(ix) hist_abs = numpy.histogram(subset_clouds, bins=[-1] + range(0, 120, 20)) hist_rel = hist_abs[0] * 1.0 / num_scenes hist_struct = dict() hist_struct['tile_identifier'] = t hist_struct['span'] = 100 hist_struct['scenes_perc_-1'] = hist_rel[0] hist_struct['scenes_perc_20'] = hist_rel[1] hist_struct['scenes_perc_40'] = hist_rel[2] hist_struct['scenes_perc_60'] = hist_rel[3] hist_struct['scenes_perc_80'] = hist_rel[4] hist_struct['scenes_perc_100'] = hist_rel[5] hist_struct['scenes_abs_-1'] = hist_abs[0][0] hist_struct['scenes_abs_20'] = hist_abs[0][1] hist_struct['scenes_abs_40'] = hist_abs[0][2] hist_struct['scenes_abs_60'] = hist_abs[0][3] hist_struct['scenes_abs_80'] = hist_abs[0][4] hist_struct['scenes_abs_100'] = hist_abs[0][5] result_list.append(hist_struct) results['found_tiles'] = result_list resp.status = falcon.HTTP_200 if can_zip_response(req.headers): if format.lower() in ['hist', 'json', 'geojson']: resp.set_header('Content-Type', 'application/json') resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(ujson.dumps(results)) elif format.lower() == 'csv': resp.set_header('Content-Type', 'text/csv') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('csv')) resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(results) elif format.lower() == 'xlsx': resp.set_header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('xlsx')) resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(results) else: if format.lower() in ['hist', 'json', 'geojson']: resp.set_header('Content-Type', 'application/json') resp.body = ujson.dumps(results) elif format.lower() == 'csv': resp.set_header('Content-Type', 'text/csv') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('csv')) resp.body = results elif format.lower() == 'xlsx': resp.set_header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('xlsx')) resp.body = results def create_output_name(self, extension): return 'EOSS_analysis_%s.%s' % (datetime.datetime.now().isoformat(), extension) def on_post(self, req, resp, format): """Handles POST requests { "daterange": [{ "start_date": "05/31/2000", "end_date": "07/02/2003" }], "clouds": 1, "sensors": [ {"sensor_name": "LANDSAT_ETM", "level": "" }], "areas": [{ "ref_group": 12, "ref_id": 6208 }] } {"clouds":20,"daterange":[{"start_date":"09/02/2015","end_date":"09/14/2016"}], "sensors":[{"name":"landsat"}], "areas":[{"ref_id":362,"ref_group":"9"}]} """ # TODO: loop over areas sensor_list = list() results = dict() start_time = time.time() output = StringIO.StringIO() while True: chunk = req.stream.read(4096) if not chunk: break output.write(chunk) body = output.getvalue() output.close() try: struct = ujson.loads(body.decode('utf-8')) except ValueError, e: # try decode x-www-form-urlencoded query_str = falcon.util.uri.decode(body.decode('utf-8')) query_str = query_str[query_str.find('{'):query_str.rfind('}') + 1] try: struct = ujson.loads(query_str) except ValueError, e: description = 'Give request is no valid JSON nor urlencoded psot body.' raise falcon.HTTPUnsupportedMediaType(description, href='http://docs.example.com/auth') try: for s in struct['sensors']: if 'sensor_name' in s.keys() and 'level' in s.keys(): sensor_list.append(s) elif 'name' in s.keys(): if not s['name'].lower() in self.aggregations.keys(): description = 'Sensor label is unknown in aggregation table' raise falcon.HTTPBadRequest('Catalog', description, href='http://docs.example.com/auth') for agg in self.aggregations[s['name'].lower()]: sensor_list.append({"sensor_name": agg.sensor, "level": agg.level}) else: description = 'Sensor is not specified in query' raise falcon.HTTPBadRequest('Catalog', description, href='http://docs.example.com/auth') query = self._query_(struct['areas'], struct['daterange'], sensor_list, struct['clouds']) query_struct = {'area': struct['areas'], 'dates': struct['daterange'], 'sensors': sensor_list, 'clouds': struct['clouds'] } logger.info('[POST] /catalog/search/result.%s' % format, extra={x:str(y) for x,y in query_struct.iteritems()}) except KeyError, e: description = 'Search key: %s missing in query.' % e raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') results['count'] = query.count() found_dataset = self._get_datasets(query) results['found_dataset'] = found_dataset results['found_tiles'] = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) # results.update({'query': struct}) resp.body = ujson.dumps(results) resp.status = falcon.HTTP_200 results['processing_time'] = time.time() - 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wmt-etl/config.py	ministryofjustice/hmpps-wmt	3	31555	import os DB_SERVER = os.getenv('WMT_DB_SERVER', 'localhost') DB_NAME = os.getenv('WMT_DB_NAME', 'wmt_db') DB_USERNAME = os.getenv('WMT_DB_USERNAME', 'wmt') DB_PASSWORD = os.getenv('WMT_DB_PASSWORD', '<PASSWORD>')	[ 1, 1053, 2897, 13, 13, 4051, 29918, 18603, 353, 2897, 29889, 657, 6272, 877, 29956, 11490, 29918, 4051, 29918, 18603, 742, 525, 7640, 1495, 13, 4051, 29918, 5813, 353, 2897, 29889, 657, 6272, 877, 29956, 11490, 29918, 4051, 29918, 5813, 742, 525, 29893, 4378, 29918, 2585, 1495, 13, 4051, 29918, 11889, 5813, 353, 2897, 29889, 657, 6272, 877, 29956, 11490, 29918, 4051, 29918, 11889, 5813, 742, 525, 29893, 4378, 1495, 13, 4051, 29918, 25711, 17013, 353, 2897, 29889, 657, 6272, 877, 29956, 11490, 29918, 4051, 29918, 25711, 17013, 742, 12801, 25711, 17013, 29958, 1495, 13, 2 ]

__init__.py

MycroftAI/skill-date

1

1602411

<reponame>MycroftAI/skill-date # Copyright 2021, Mycroft AI Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Mycroft skill to respond to user requests for dates.""" import time from datetime import date, datetime from pathlib import Path from mycroft.messagebus.message import Message from mycroft.skills import MycroftSkill, intent_handler from mycroft.skills.intent_service import AdaptIntent from mycroft.util.format import date_time_format from mycroft.util.time import now_local from .skill import get_speakable_weekend_date, is_leap_year, Response MARK_I = "mycroft_mark_1" MARK_II = "mycroft_mark_2" class DateSkill(MycroftSkill): """Mycroft skill to respond to user requests for dates.""" def __init__(self): super().__init__("DateSkill") self.displayed_time = None # TODO: Move to reusable location @property def platform(self): """Get the platform identifier string Returns: str: Platform identifier, such as "mycroft_mark_1", "mycroft_picroft", "mycroft_mark_2". None for non-standard. """ if self.config_core and self.config_core.get("enclosure"): return self.config_core["enclosure"].get("platform") else: return None def initialize(self): """Tasks to perform after constructor but before skill is ready for use.""" date_time_format.cache(self.lang) @intent_handler(AdaptIntent().require("query").require("date").optionally("today")) def handle_current_date_request(self, _): """Respond to a request from the user for the current date. Example: "What is the date today?" """ self._handle_current_date() @intent_handler( AdaptIntent().optionally("query").require("relative-day").optionally("date") ) def handle_relative_date_request(self, request: Message): """Respond to a request from the user for a date in the past or future. Example: "What is the date in five days?" Args: request: The request from the user that triggered this intent. """ self._handle_relative_date(request) @intent_handler(AdaptIntent().require("query").require("month")) def handle_day_for_date(self, request): """Respond to a request from the user for a specific past or future date. Example: "When is July 10th?" Args: request: The request from the user that triggered this intent. """ self._handle_relative_date(request) @intent_handler(AdaptIntent().require("query").require("leap-year")) def handle_next_leap_year_request(self, _): """Respond to a request from the user for the next leap year. Example: "When is the next leap year?" """ today = now_local().date() leap_date = date(today.year, 2, 28) year = today.year if today <= leap_date else today.year + 1 while not is_leap_year(year): year += 1 self.speak_dialog("next-leap-year", data=dict(year=year)) @intent_handler("date-future-weekend.intent") def handle_future_weekend_request(self, _): saturday_date = get_speakable_weekend_date("this saturday") sunday_date = get_speakable_weekend_date("this sunday") dialog_data = dict(saturday_date=saturday_date, sunday_date=sunday_date) self.speak_dialog("date-future-weekend", data=dialog_data) @intent_handler("date-last-weekend.intent") def handle_last_weekend_request(self, _): """Respond to a request from the user for dates for the upcoming weekend. Example: "What were the dates last weekend?" """ saturday_date = get_speakable_weekend_date("last saturday") sunday_date = get_speakable_weekend_date("last sunday") dialog_data = dict(saturday_date=saturday_date, sunday_date=sunday_date) self.speak_dialog("date-last-weekend", data=dialog_data) def _handle_current_date(self): """Build, speak and display the response to a current date request.""" response = Response() response.build_current_date_response() self._respond(response) def _handle_relative_date(self, request: Message): """Build, speak and display the response to a current date request. Args: request: The request from the user that triggered this intent. """ utterance = request.data["utterance"].lower() response = Response() response.build_relative_date_response(utterance) if response.date_time is not None: self._respond(response) def _respond(self, response: Response): """Speak and display the response to a date request. Args: response: Data used by the speak/display logic to communicate the Response """ self._display(response) self.speak_dialog(response.dialog_name, response.dialog_data, wait=True) time.sleep(10) self._clear_display() def _display(self, response: Response): """Display the response to a date request if the platform supports it. Args: response: Data used by the display logic to communicate the Response """ if self.platform == MARK_I: self._display_mark_i(response) elif self.gui.connected: self._display_gui(response) def _display_mark_i(self, response: Response): """Display the response to a date request on the Mark I. This logic could be re-used for other platforms that have an Arduino faceplate with the same dimensions as the Mark I's. Args: response: Data used by the display logic to communicate the Response """ display_date = self._get_display_date(response.date_time) self.enclosure.deactivate_mouth_events() self.enclosure.mouth_text(display_date) def _get_display_date(self, date_time: datetime) -> str: """Format the datetime object returned from the parser for display purposes. Args: date_time: Contains the date that will be displayed. """ if self.config_core.get("date_format") == "MDY": display_date = date_time.strftime("%-m/%-d/%Y") else: display_date = date_time.strftime("%Y/%-d/%-m") return display_date def _display_gui(self, response: Response): """Display the response to a date request on a device using the GUI Framework. Args: response: Data used by the display logic to communicate the Response """ self.gui.clear() self.gui["weekdayString"] = response.date_time.strftime("%A").upper() self.gui["monthString"] = response.date_time.strftime("%B") self.gui["dayString"] = response.date_time.strftime("%-d") if self.platform == MARK_II: self.gui.show_page("date-mark-ii.qml") else: self.gui.show_page("date-scalable.qml") def _clear_display(self): """Clear the display medium of the date.""" if self.platform == "mycroft_mark_1": self.enclosure.mouth_reset() self.enclosure.activate_mouth_events() self.enclosure.display_manager.remove_active() elif self.gui.connected: self.gui.release() def create_skill(): """Boilerplate code used to load this skill into core.""" return DateSkill()

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venv/Lib/site-packages/moderngl_window/meta/data.py

net-oil-man/Oilman-Manim-Tools

1

85218

from moderngl_window.meta.base import ResourceDescription class DataDescription(ResourceDescription): """Describes data file to load. This is a generic resource description type for loading resources that are not textures, programs and scenes. That loaded class is used depends on the ``kind`` or the file extension. Currently used to load: - text files - json files - binary files .. code:: python # Describe a text file. Text loader is used based on file extension DataDescription(path='data/text.txt') # Describe a json file. Json loader is used based on file extension DataDescription(path='data/data.json') # Describe a binary file. Specify a binary loader should be used. DataDescription(path='data/data.bin', kind='binary') """ default_kind = None resource_type = "data" def __init__(self, path=None, kind=None, **kwargs): """Initialize the resource description. Keyword Args: path (str): Relative path to the resource kind (str): The resource kind deciding loader class **kwargs: Additional custom attributes """ kwargs.update( {"path": path, "kind": kind} ) super().__init__(**kwargs)

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othelloai/gui/__init__.py

jcarrete5/othello

0

186801

"""GUI for the othello application.""" import logging import tkinter as tk import tkinter.messagebox from random import choice as choose_from from typing import Optional from .player import GUIPlayer from .. import bitboard as bb from ..ai import ai_default, ai_options, AIOption from ..board import Board from ..color import Color, opposite_color from ..exception import OutOfTurnError from ..game import Game, GameType _logger = logging.getLogger(__name__) _game: Optional[Game] = None _my_player: Optional[GUIPlayer] = None class BoardView(tk.Canvas): """Represents the state of the board graphically.""" def __init__(self, master): self._cell_size = 80 self._border_width = 0 self._grid_line_width = 1 super().__init__( master, width=self._cell_size * 8 + self._grid_line_width * 7, height=self._cell_size * 8 + self._grid_line_width * 7, borderwidth=f"{self._border_width}", highlightthickness=0, bg="#000", ) self.pack() self.bind("<Button-1>", self.onclick) _logger.debug( "Canvas dim (%d, %d)", self.winfo_reqwidth(), self.winfo_reqheight() ) self.redraw(Board(0, 0)) def onclick(self, event): _logger.debug("BoardView clicked %s", event) if _my_player is None: _logger.debug("My player is None. Ignoring...") return col = (event.x - self._border_width) / self.winfo_reqwidth() * 8 row = (event.y - self._border_width) / self.winfo_reqheight() * 8 _logger.debug("(row=%f, col=%f)", row, col) _logger.debug("(row=%d, col=%d)", row, col) if 0 <= col < 8 and 0 <= row < 8: pos = bb.Position(int(row), int(col)) try: _my_player.make_move(pos) except OutOfTurnError: tk.messagebox.showwarning("Illegal Move", "It is not your turn!") def redraw(self, board: Board): _logger.debug("Redrawing\n%s", board) self.delete(tk.ALL) for r in range(8): for c in range(8): x_off = ( c * self._cell_size + c * self._grid_line_width + self._border_width ) y_off = ( r * self._cell_size + r * self._grid_line_width + self._border_width ) # Draw green empty cell self.create_rectangle( x_off, y_off, self._cell_size + x_off, self._cell_size + y_off, fill="#060", ) # Draw piece in cell mask = bb.pos_mask(r, c) inset = 5 fill_color = None if board.white & mask != 0: fill_color = "#fff" elif board.black & mask != 0: fill_color = "#000" if fill_color: self.create_oval( x_off + inset, y_off + inset, x_off + self._cell_size - inset, y_off + self._cell_size - inset, fill=fill_color, ) class NewGameDialog(tk.Toplevel): """Modal dialog window for creating new games.""" def __init__(self, parent, board_view: BoardView): super().__init__(parent) self.board_view = board_view self.ai_settings = dict(depth=3) # Frames self.frame = tk.Frame(self) self.frame_color = tk.LabelFrame(self.frame, text="Color") self.frame_ai = tk.LabelFrame(self.frame, text="AI") self.frame_gametype = tk.LabelFrame(self.frame, text="Opponent") self.frame_ai_settings = tk.LabelFrame(self.frame_ai, text="Settings", border=0) # Variables self.color_var = tk.StringVar(self.frame, Color.black.name) self.game_type_var = tk.StringVar(self.frame, GameType.computer.name) self.ai_var = tk.StringVar(self.frame, ai_default.name) self.depth_var = tk.IntVar(self.frame, self.ai_settings["depth"]) # Radio buttons self.radiobutton_color_black = tk.Radiobutton( self.frame_color, text="Black", variable=self.color_var, value=Color.black.name, ) self.radiobutton_color_white = tk.Radiobutton( self.frame_color, text="White", variable=self.color_var, value=Color.white.name, ) self.radiobutton_color_random = tk.Radiobutton( self.frame_color, text="Random", variable=self.color_var, value=None ) self.radiobutton_gametype_computer = tk.Radiobutton( self.frame_gametype, text="Computer", variable=self.game_type_var, value=GameType.computer.name, ) self.radiobutton_gametype_online = tk.Radiobutton( self.frame_gametype, text="Online", variable=self.game_type_var, value=GameType.online.name, state=tk.DISABLED, ) # Buttons self.button_cancel = tk.Button(self.frame, text="Cancel", command=self.cancel) self.button_start = tk.Button(self.frame, text="Start", command=self.submit) # Option menus self.optionmenu_ai = tk.OptionMenu( self.frame_ai, self.ai_var, *(ai.name for ai in ai_options) ) # Spinbox self.spinbox_minmax_depth = tk.Spinbox( self.frame_ai_settings, textvariable=self.depth_var, width=5, from_=1, to=10, increment=1, ) # Labels self.label_depth = tk.Label(self.frame_ai_settings, text="Depth:") # Configure self.transient(parent) self.focus_set() self.grab_set() self.title("New Game") self.frame.pack_configure(expand=True) # Bindings self.bind("<Escape>", lambda e: self.cancel()) self.bind("<Return>", lambda e: self.submit()) self.ai_var.trace_add( "write", callback=lambda *args: self._layout_ai_settings() ) self.depth_var.trace_add( "write", callback=lambda *args: self.ai_settings.update(depth=self.depth_var.get()), ) self._layout() self.wait_window(self) _logger.debug("NewGameDialog closed") def _layout(self): self.frame_color.grid(row=0, column=0, sticky="n") self.radiobutton_color_black.grid(row=1, column=1, sticky="w") self.radiobutton_color_white.grid(row=2, column=1, sticky="w") self.radiobutton_color_random.grid(row=3, column=1, sticky="w") self.frame_gametype.grid(row=0, column=1, sticky="n") self.radiobutton_gametype_computer.grid(row=1, column=0, sticky="w") self.radiobutton_gametype_online.grid(row=2, column=0, sticky="w") self.frame_ai.grid(row=0, column=2, sticky="n") self.optionmenu_ai.grid(row=0, column=0, sticky="w") self._layout_ai_settings() self.button_cancel.grid(row=1, column=0) self.button_start.grid(row=1, column=1) def _layout_ai_settings(self): ai = AIOption[self.ai_var.get()] if ai is AIOption.Randy: self.frame_ai_settings.grid_remove() elif ai is AIOption.Marty: self.frame_ai_settings.grid(row=1, column=0) self.label_depth.grid(row=0, column=0) self.spinbox_minmax_depth.grid(row=0, column=1) else: assert False def cancel(self): _logger.debug("Cancel") self.destroy() def submit(self): global _game _logger.debug("Submit") if _game is not None: proceed = tk.messagebox.askokcancel( title="Start New Game", message="Another game is already in progress. Proceed?", ) if not proceed: self.destroy() self._reset_game() self.destroy() def _reset_game(self): global _game self._make_my_player() opponent = self._make_opponent_player(opposite_color(_my_player.color)) if _game is not None: _game.shutdown() _game = Game(_my_player, opponent) _game.start() def _make_my_player(self): global _my_player my_color = ( self.color_var.get() and Color[self.color_var.get()] or choose_from(list(Color)) ) _my_player = GUIPlayer( my_color, self.board_view.redraw, _show_winner, ) def _make_opponent_player(self, color: Color): game_type = GameType[self.game_type_var.get()] if game_type == GameType.computer: OpponentPlayerClass = ai_options[AIOption[self.ai_var.get()]] _logger.debug( "%s chosen with settings %s", OpponentPlayerClass.__name__, self.ai_settings, ) opponent = OpponentPlayerClass(color, **self.ai_settings) else: assert False, f"{game_type} not implemented" return opponent def _show_winner(color: Optional[Color], _: Board): if color is None: msg = "The game is drawn!" else: msg = f"{color.name.capitalize()} has won!" tk.messagebox.showinfo("Game Over", msg) def _init_widgets(root: tk.Tk): root.title("Othello") main = tk.Frame(root) main.pack_configure(expand=True) board_view = BoardView(main) menu_bar = tk.Menu(root) game_menu = tk.Menu(menu_bar, tearoff=0) game_menu.add_command( label="New Game...", command=lambda: NewGameDialog(root, board_view) ) menu_bar.add_cascade(label="Game", menu=game_menu) root.config(menu=menu_bar) # Immediately display a new game dialog NewGameDialog(root, board_view) def loop(): global _game _logger.debug("Init ui loop") try: root = tk.Tk() _init_widgets(root) root.mainloop() finally: if _game is not None: _game.shutdown()

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mod_stats/tools/dlcount.py

openSUSE/mirrorbrain

24

81412

#!/usr/bin/python # Copyright 2008,2009 <NAME> # # This program is free software; you can redistribute it and/or # modify it under the terms of the GNU General Public License version 2 # as published by the Free Software Foundation; # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA # # # # Analyze Apache logfiles in order to count downloads # # # This script parses a MirrorBrain-enhanced access_log and does the following: # - select lines on that the log analysis is supposed to run # (StatsLogMask directive, which defaults to a regexp suitable for a MirrorBrain logfile) # The expression also selects data from the log line, for example the # country where a client request originated from. # - a little ring buffer filters requests recurring within a sliding time # window (keyed by ip+url+referer+user-agent # length of the sliding window: StatsDupWindow # - arbitrary log lines can be ignored by regexp (StatsIgnoreMask) # - IP addresses can be ignored by string prefix match (StatsIgnoreIP) # - apply prefiltering to the request (regular expressions with substitution) # with one or more StatsPrefilter directives # - parse the remaining request url into the values to be logged # (StatsCount directive) # - apply optional post-filtering to the parsed data (StatsPostfilter) # # # The script should serve as model implementation for the Apache module which # does the same in realtime. # # # Usage: # ./dlcount.py /var/log/apache2/download.services.openoffice.org/2009/11/download.services.openoffice.org-20091123-access_log.bz2 | sort -u # # Uncompressed, gzip or bzip2 compressed files are transparently opened. # # # This script uses Python generators, which means that it doesn't allocate # memory according to the log size. It rather works like a Unix pipe. # (The implementation of the generator pipeline is based on David Beazley's # PyCon UK 08 great talk about generator tricks for systems programmers.) # __version__ = '0.91' __author__ = '<NAME> <<EMAIL>>' __copyright__ = 'Peter poeml <<EMAIL>>' __license__ = 'GPLv2' __url__ = 'http://mirrorbrain.org/' try: import sys import os import os.path import re import hashlib import time from datetime import datetime from optparse import OptionParser set except NameError: from sets import Set as set # Python 2.3 fallback try: sorted except NameError: def sorted(in_value): # Python 2.3 fallback "A naive implementation of sorted" out_value = list(in_value) out_value.sort() return out_value def gen_open(filenames): """Open a sequence of filenames""" import gzip import bz2 for name in filenames: if name.endswith(".gz"): yield gzip.open(name) elif name.endswith(".bz2"): yield bz2.BZ2File(name) else: yield open(name) def gen_cat(sources): """Concatenate items from one or more source into a single sequence of items""" for s in sources: for item in s: yield item def gen_grep(pat, lines): import re patc = re.compile(pat) for line in lines: if patc.search(line): yield line def gen_fragments(lines, pat): """Generate a sequence of line fragments, according to a given regular expression""" for line in lines: m = pat.match(line) if m: yield m.groups() # else: # print 'no match for:' # print line class RingBuffer: """Here is a simple circular buffer, or ring buffer, implementation in Python. It is a first-in, first-out (FIFO) buffer with a fixed size. Here is an example where the buffer size is 4. Ten integers, 0-9, are inserted, one at a time, at the end of the buffer. Each iteration, the first element is removed from the front of the buffer. buf = RingBuffer(4) for i in xrange(10): buf.append(i) print buf.get() Here are the results: [None, None, None, 0] [None, None, 0, 1] [None, 0, 1, 2] [0, 1, 2, 3] [1, 2, 3, 4] [2, 3, 4, 5] [3, 4, 5, 6] [4, 5, 6, 7] [5, 6, 7, 8] [6, 7, 8, 9] from http://www.saltycrane.com/blog/2007/11/python-circular-buffer/ """ def __init__(self, size): self.data = [None for i in xrange(size)] def append(self, x): self.data.pop(0) self.data.append(x) def get(self): return self.data def readconf(filename): """we'd need Apache's config parser here...""" known_directives = ['StatsLogMask', 'StatsIgnoreMask', 'StatsIgnoreIP', 'StatsDupWindow', 'StatsPreFilter', 'StatsCount', 'StatsPostFilter'] known_directives_lower = [i.lower() for i in known_directives] # regular expressions to parse arguments parse_1_in_quotes = re.compile(r'"(.*)"') parse_2_in_quotes = re.compile(r'"(.*)"\s+"(.*)"') # create a dictionary to hold the config # each item is a list (because the directives could occur more than once) # each list item will correspond to one directive occurrence conf = {} for i in known_directives_lower: conf[i] = list() conf['statsdupwindow'] = 200 for line in open(filename): # remove trailing and leading whitespace and newlines line = line.strip() # ignore comment lines if line.startswith('#'): continue # and empty lines if not line: continue # split line into 1st word plus rest # will fail if it's not a valid config line try: word, val = line.split(None, 1) except: sys.exit('error: can\'t parse the line %r' % line) if word.lower() not in known_directives_lower: sys.exit('unknown config directive: %r' % word) directive = word.lower() val = val # this is just a single integer if directive in ['statsdupwindow']: conf[directive] = int(val) # directives with one argument: a regexp elif directive in ['statslogmask', 'statsignoremask']: m = parse_1_in_quotes.match(val) regex = m.group(1).replace('\\"', '"') regex_compiled = re.compile(regex) conf[directive].append((regex_compiled, regex)) # these come with two args: a regexp and a substitution rule elif directive in ['statsprefilter', 'statscount', 'statspostfilter']: m = parse_2_in_quotes.match(val) # print 'substitute %s by %s' % (m.group(1), m.group(2)) regex = m.group(1).replace('\\"', '"') subst = m.group(2).replace('\\"', '"') regex_compiled = re.compile(regex) conf[directive].append((regex_compiled, subst, regex)) elif directive in ['statsignoreip']: conf[directive].append(val) else: sys.exit('unparsed directive (implementation needed)', directive) # set defaults for directives that didn't occur in the config if not len(conf['statslogmask']): regex = '^(\S+).+\[(.*?)\] "GET (\S*) HTTP.*" (200|302) [^"]+ "([^"]*)" "([^"]*)".* \w\w:(\w\w) ASN:' regex_compiled = re.compile(regex) conf['statslogmask'] = [(regex_compiled, regex)] #import pprint # pprint.pprint(conf) # sys.exit(0) return conf # class Countable(): # """This holds a result from a parsed log line # which consists of a date and 5 attributes""" # #def __init__(self, date, a0, a1, a2, a3, a4): # def __init__(self, (date, a0, a1, a2, a3, a4, a5)): # self.date = date # self.a0 = a0 # self.a1 = a1 # self.a2 = a2 # self.a3 = a3 # self.a4 = a4 # self.a5 = a5 class Req(): """This helps us in housekeeping while parsing a log line""" def __init__(self): # url_raw contains the original url, if needed self.url_raw = None self.tstamp = None self.tstamp_raw = None self.date = None self.status = None self.referer = None self.ua = None self.country = None # this is the processed URL, after running through all the regexps self.url = None self.countable = False def __str__(self): return '%-80s' % self.url def as_tuple(self): return self.tuple # def as_obj(self): # return Countable(self.tuple) def gen_processreqs(reqs, conf, options): """process a tuple of request data, and return the parsed in the form of a generator""" known = RingBuffer(conf['statsdupwindow']) for req in reqs: rq = Req() if len(req) == 7: (ip, tstamp_raw, url, status, referer, ua, country) = req elif len(req) == 6: (ip, tstamp_raw, url, status, referer, ua) = req country = '' skip = False for r, mreg in conf['statsignoremask']: if r.match(url): # print 'ignoring req %s because it matches %s' %(url, mreg) skip = True break if skip: continue for i in conf['statsignoreip']: if ip.startswith(i): # print 'ignoring ip %s because it matches %s' %(ip, i) skip = True break if skip: continue # over a window of StatsDupWindow last requests, the same request must # not have occured already. If it did, ignore it. If it didn't, put # it into the ring buffer. if conf['statsdupwindow'] > 0: m = hashlib.md5() m.update(ip) m.update(url) m.update(referer) m.update(ua) md = m.digest() if md in known.data: continue known.append(md) rq.url_raw = url rq.status = status rq.referer = referer rq.ua = ua rq.country = country.lower() tstamp_raw = tstamp_raw.split()[0] # split off timezone offset - we ignore it rq.tstamp = time.strptime(tstamp_raw, '%d/%b/%Y:%H:%M:%S') rq.tstamp_raw = tstamp_raw # apply the prefiltering rules for r, s, mreg in conf['statsprefilter']: url = r.sub(s, url) matched = False for r, s, mreg in conf['statscount']: if r.match(url): if matched: # FIXME: eventually, we want to allow multiple matches. But now we are debugging. sys.exit('warning: %r matches\n %r\nbut already matched a pevious regexp:\n %r' % (url, mreg, matched)) url = r.sub(s, url) matched = mreg if not matched: if options.verbose: print 'not matched', url yield rq continue # apply postfiltering for r, s, mreg in conf['statspostfilter']: url = r.sub(s, url) rq.url = url # would time.strftime("%Y-%m-%d", ...) be faster? rq.date = datetime(rq.tstamp[0], rq.tstamp[1], rq.tstamp[2]) rq.tuple = [rq.date] rq.tuple.extend(rq.url.split()) # the country is our fifth attribute rq.tuple.append(rq.country) rq.tuple = tuple(rq.tuple) rq.countable = True # print rq yield rq def main(): """ Create a generator pipeline for the matching log file lines and process them. """ usage = 'usage: %prog [options] CONFIGFILE LOGFILE [LOGFILE ...]' version = '%prog ' + __version__ parser = OptionParser(usage=usage, version=version) # parser.disable_interspersed_args() parser.add_option('--db', action="store_true", dest="db", default=False, help="save counts to the database") parser.add_option('--db-home', help="specify directory where the database lives", metavar='DIR') parser.add_option("-q", "--quiet", action="store_true", dest="quiet", default=False, help="print only errors") parser.add_option("-v", "--verbose", action="store_true", dest="verbose", default=False, help="print debug messages to stderr") (options, args) = parser.parse_args() usage = usage.replace('%prog', os.path.basename(sys.argv[0])) if len(args) < 2: sys.exit(usage) conffile = args[0] filenames = args[1:] conf = readconf(conffile) logfiles = gen_open(filenames) loglines = gen_cat(logfiles) reqs = gen_fragments(loglines, conf['statslogmask'][0][0]) items = gen_processreqs(reqs, conf, options) if options.db and not options.db_home: sys.exit('--db-home is mandatory with --db.') if options.db: dirpath = options.db_home #dirpath = os.path.dirname(os.path.dirname(os.path.realpath(__file__))) dirpath = os.path.realpath(dirpath) os.chdir(dirpath) sys.path.insert(0, os.path.dirname(dirpath)) os.environ['DJANGO_SETTINGS_MODULE'] = 'downloadstats.settings' from downloadstats.stats.models import Counter import downloadstats.settings if downloadstats.settings.DEBUG: from django import db # print 'you are runninng in DEBUG mode. This is not recommended, because\n' \ # 'Django then saves a copy of every SQL statement it has executed.\n' \ # 'I'm installing a cleanup handler that\'ll help.' # see below, in the loop # http://docs.djangoproject.com/en/dev/faq/models/#why-is-django-leaking-memory start = time.time() counterdict = {} n = 0 get = counterdict.get for item in items: if not item.countable: continue t = item.as_tuple() n += 1 counterdict[t] = get(t, 0) + 1 delta = time.time() - start print 'processed log in %.1f seconds, found %s valid and unique requests' % (delta, n) print '%s distinct countables' % len(counterdict) start = time.time() if options.db: for key, val in counterdict.iteritems(): (date, a0, a1, a2, a3, a4) = key if downloadstats.settings.DEBUG: db.reset_queries() counter, created = Counter.objects.get_or_create(date=date, product=a0, osname=a1, version=a2, lang=a3, country=a4) if created: # count is 1 for a new item counter.count = val else: # item existed already - increase its counter counter.count += val counter.save() delta = time.time() - start print 'saved counts to db in %.1f seconds' % delta sys.exit(0) if __name__ == '__main__': main()

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tests/libs/datasets/zeros_filter_test.py

ConsultingMD/covid-data-model

0

111732

import more_itertools import structlog from covidactnow.datapublic.common_fields import CommonFields from libs.datasets.sources import zeros_filter from libs.pipeline import Region from tests import test_helpers from tests.test_helpers import TimeseriesLiteral import pandas as pd def test_basic(): region_tx = Region.from_state("TX") region_sf = Region.from_fips("06075") region_hi = Region.from_state("HI") # Add a timeseries with a tag to make sure they are preserved. ts_with_tag = TimeseriesLiteral( [0, 0, 0], annotation=[test_helpers.make_tag(date="2020-04-01")] ) ds_in = test_helpers.build_dataset( { region_tx: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 0]}, region_sf: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 1]}, region_hi: { CommonFields.VACCINES_DISTRIBUTED: [0, 0, None], CommonFields.CASES: ts_with_tag, }, } ) with structlog.testing.capture_logs() as logs: ds_out = zeros_filter.drop_all_zero_timeseries(ds_in, [CommonFields.VACCINES_DISTRIBUTED]) ds_expected = test_helpers.build_dataset( { region_sf: {CommonFields.VACCINES_DISTRIBUTED: [0, 0, 1]}, region_hi: {CommonFields.CASES: ts_with_tag}, } ) log = more_itertools.one(logs) assert log["event"] == zeros_filter.DROPPING_TIMESERIES_WITH_ONLY_ZEROS assert pd.MultiIndex.from_tuples( [ (region_hi.location_id, CommonFields.VACCINES_DISTRIBUTED), (region_tx.location_id, CommonFields.VACCINES_DISTRIBUTED), ] ).equals(log["dropped"]) test_helpers.assert_dataset_like(ds_expected, ds_out)

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fypy/model/levy/__init__.py

jkirkby3/fypy

16

1611163

<filename>fypy/model/levy/__init__.py from fypy.model.levy.VarianceGamma import VarianceGamma from fypy.model.levy.BlackScholes import BlackScholes from fypy.model.levy.CGMY import CMGY from fypy.model.levy.KouJD import KouJD from fypy.model.levy.MertonJD import MertonJD from fypy.model.levy.NIG import NIG

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challenges/2021-10-26-the-24-game/solutions/mob/mob.py

JenniferToops/CodingDojo

34

137990

<gh_stars>10-100 import unittest """ # The 24 Game The `24` game is played as follows. You are given a list of four integers, each in a fixed order. By placing the operators +, -, *, and / between the numbers, and grouping them with parentheses, determine whether it is possible to reach the value `24`. For example, given the input [5, 2, 7, 8], you should return True, since (5 * 2 - 7) * 8 = 24. Write a function that plays the `24` game. ## Business Rules/Errata - Your input will always consist of an array of four integers. These integers do not all need to be positive. - Your function should return a boolean value indicating whether the input can be combined to produce `24`. You do not need to produce the formula that yields `24`. - The results of any division operation should be rounded to the nearest integer. So, `3 / 2 = 2`, not `3 / 2 = 1`. - The result of division by zero should be zero, not undefined. ## Examples ``` play([5, 2, 7, 8]); // True -> (5 * 2 - 7) * 8 = 24 play([2, 4, 8, 10]); // True -> 2 + 4 + 8 + 10 = 24 play([5, 0, 4, 4]); // True -> (5 + 0) * 4 + 4 = 24 play([47, 2, 0, 0]); // True -> (47 / 2) + 0 + 0 = 24 play([1, 5, 7, 19]); // False, no combinations yield 24 ``` """ # depth first search through a tree # use a STACK - last in/first out # Keep track of: # The stack of lists to operate on def play(int_list): # Create a STACK (aka list) stack = [int_list] # While the stack is not empty while stack: # Pop an item (sublist) off the stack sublist = stack.pop() # If your sublist is length 1: if len(sublist) == 1: # if the only number in sublist is 24, return True. if sublist[0] == 24: return True # Otherwise, throw out sublist and go back to the start of the while loop continue # For each pair of items in sublist for i in range(len(sublist) - 1): # Do all four operations on the pair of items, collect in a list called RESULTS first, second = sublist[i], sublist[i + 1] results = [first + second, first - second, first * second] results.append(0 if second == 0 else round(first / second)) # For each result in RESULTS for result in results: # Create a list (from sublist) replacing the two input numbers with result current = sublist[:i] + [result] + sublist[i + 2:] # add the new, smaller list to the stack stack.append(current) # Return False return False class TestPlay(unittest.TestCase): def setUp(self): self.prod_sub_prod = [5, 2, 7, 8] self.addition = [2, 4, 8, 10] self.subtraction = [27, 1, 1, 1] self.add_prod_add = [5, 0, 4, 4] self.div_roundup = [47, 2, 0, 0] self.div_rounddown = [1, 1, 73, 3] self.fail = [1, 5, 7, 19] def test_prod_sub_prod(self): self.assertTrue(play(self.prod_sub_prod), "(5 * 2 - 7) * 8 = 24 -> True") def test_addition(self): self.assertTrue(play(self.addition), "2 + 4 + 8 + 10 = 24 -> True") def test_subtraction(self): self.assertTrue(play(self.subtraction), "27 - 1 - 1 - 1 = 24 -> True") def test_add_prod_add(self): self.assertTrue(play(self.add_prod_add), "(5 + 0) * 4 + 4 = 24 -> True") def test_div_roundup(self): self.assertTrue(play(self.div_roundup), "47 / 2 + 0 + 0 = 23.5 -> 24 -> True") def test_div_rounddown(self): self.assertTrue(play(self.div_rounddown), "1 - 1 + (73 / 3) = 24.33 -> 24 -> True") def test_fail(self): self.assertFalse(play(self.fail), "1 ? 5 ? 7 ? 19 != 24 -> False") def tearDown(self): pass if __name__ == "__main__": unittest.main()

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create_dataset.py

KiLJ4EdeN/COVID_WEB

5

1615527

# Import dependencies. import os import numpy as np import cv2 from scipy.io import savemat # Create labels. C = np.ones((349,)) N = np.zeros((397,)) labels = np.concatenate((C, N), axis=0) # Load the datased and resize to imagenet size. covid = os.listdir('CT_COVID') n_covid = os.listdir('CT_NonCOVID') data=[] for img_path in covid: img = cv2.imread('CT_COVID/'+img_path, cv2.IMREAD_COLOR) data.append(cv2.resize(img, (224, 224))) for img_path in n_covid: img = cv2.imread('CT_NonCOVID/'+img_path, cv2.IMREAD_COLOR) data.append(cv2.resize(img, (224, 224))) # Normalization. data = np.array(data)/255. print(data.shape) print(labels.shape) # Save the data. savemat('images.mat', {'data': data, 'labels': labels})

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test.py

Aaron-Jin-Xu/DataIO

1

142915

from utils.io import inspect_data_dirs from configs import DATA_DIRS inspect_data_dirs(DATA_DIRS)

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river/optim/base.py

online-ml/creme

1,105

47902

import abc import numbers from typing import Union import numpy as np from river import base, optim, utils VectorLike = Union[utils.VectorDict, np.ndarray] __all__ = ["Initializer", "Scheduler", "Optimizer", "Loss"] class Initializer(base.Base, abc.ABC): """An initializer is used to set initial weights in a model.""" @abc.abstractmethod def __call__(self, shape=1): """Returns a fresh set of weights. Parameters ---------- shape Indicates how many weights to return. If `1`, then a single scalar value will be returned. """ class Scheduler(base.Base, abc.ABC): """Can be used to program the learning rate schedule of an `optim.base.Optimizer`.""" @abc.abstractmethod def get(self, t: int) -> float: """Returns the learning rate at a given iteration. Parameters ---------- t The iteration number. """ def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Optimizer(base.Base): """Optimizer interface. Every optimizer inherits from this base interface. Parameters ---------- lr Attributes ---------- learning_rate : float Returns the current learning rate value. """ def __init__(self, lr: Union[Scheduler, float]): if isinstance(lr, numbers.Number): lr = optim.schedulers.Constant(lr) self.lr = lr self.n_iterations = 0 @property def learning_rate(self) -> float: return self.lr.get(self.n_iterations) def look_ahead(self, w: dict) -> dict: """Updates a weight vector before a prediction is made. Parameters: w (dict): A dictionary of weight parameters. The weights are modified in-place. Returns: The updated weights. """ return w def _step_with_dict(self, w: dict, g: dict) -> dict: raise NotImplementedError def _step_with_vector(self, w: VectorLike, g: VectorLike) -> VectorLike: raise NotImplementedError def step( self, w: Union[dict, VectorLike], g: Union[dict, VectorLike] ) -> Union[dict, VectorLike]: """Updates a weight vector given a gradient. Parameters ---------- w A vector-like object containing weights. The weights are modified in-place. g A vector-like object of gradients. Returns ------- The updated weights. """ if isinstance(w, VectorLike.__args__) and isinstance(g, VectorLike.__args__): try: w = self._step_with_vector(w, g) self.n_iterations += 1 return w except NotImplementedError: pass w = self._step_with_dict(w, g) self.n_iterations += 1 return w def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" class Loss(base.Base, abc.ABC): """Base class for all loss functions.""" def __repr__(self): return f"{self.__class__.__name__}({vars(self)})" @abc.abstractmethod def __call__(self, y_true, y_pred): """Returns the loss. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The loss(es). """ @abc.abstractmethod def gradient(self, y_true, y_pred): """Return the gradient with respect to y_pred. Parameters ---------- y_true Ground truth(s). y_pred Prediction(s). Returns ------- The gradient(s). """ @abc.abstractmethod def mean_func(self, y_pred): """Mean function. This is the inverse of the link function. Typically, a loss function takes as input the raw output of a model. In the case of classification, the raw output would be logits. The mean function can be used to convert the raw output into a value that makes sense to the user, such as a probability. Parameters ---------- y_pred Raw prediction(s). Returns ------- The adjusted prediction(s). References ---------- [^1]: [Wikipedia section on link and mean function](https://www.wikiwand.com/en/Generalized_linear_model#/Link_function) """

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blog/templatetags/markdownify.py

darkLord19/blog

12

26658

from django import template import mistune register = template.Library() @register.filter def markdown(value): markdown = mistune.Markdown() return markdown(value)

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problem0231.py

kmarcini/Project-Euler-Python

0

50155

########################### # # #231 The prime factorisation of binomial coefficients - Project Euler # https://projecteuler.net/problem=231 # # Code by <NAME> # ###########################

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measurements/update_measurements.py

gvvynplaine/AutoEq

1

82125

<filename>measurements/update_measurements.py<gh_stars>1-10 # -*- coding: utf-8 -*- import os import sys import argparse from glob import glob from selenium import webdriver from selenium.webdriver.chrome.options import Options sys.path.insert(1, os.path.realpath(os.path.join(sys.path[0], os.pardir))) from measurements.rtings.rtings_crawler import RtingsCrawler from measurements.oratory1990.oratory1990_crawler import Oratory1990Crawler from measurements.crinacle.crinacle_crawler import CrinacleCrawler from measurements.referenceaudioanalyzer.reference_audio_analyzer_crawler import ReferenceAudioAnalyzerCrawler from measurements.average import average_measurements DIR_PATH = os.path.abspath(os.path.join(__file__, os.pardir)) def main(crinacle=False, oratory1990=False, rtings=False, referenceaudioanalyzer=False, prompt=False): classes = [] if not (crinacle | oratory1990 | rtings | referenceaudioanalyzer): # None means all crinacle = True oratory1990 = True rtings = True referenceaudioanalyzer = True if crinacle: classes.append(CrinacleCrawler) if oratory1990: classes.append(Oratory1990Crawler) if rtings: classes.append(RtingsCrawler) if referenceaudioanalyzer: classes.append(ReferenceAudioAnalyzerCrawler) if Oratory1990Crawler in classes or ReferenceAudioAnalyzerCrawler in classes or RtingsCrawler in classes: # oratory1990 and Reference Audio Analyzer crawlers require Selenium Web Driver opts = Options() opts.add_argument('--headless') driver = webdriver.Chrome(os.path.join(DIR_PATH, 'chromedriver'), options=opts) else: driver = None for cls in classes: print(f'Running {cls.__name__}') crawler = cls(driver=driver) crawler.process_new(prompt=prompt) crawler.write_name_index() for dir_path in glob(os.path.join(DIR_PATH, '*', 'data', '*')): average_measurements(input_dir=dir_path, output_dir=dir_path) if driver is not None: driver.close() def create_cli(): parser = argparse.ArgumentParser() parser.add_argument('--crinacle', action='store_true', help='Update Crinacle measurements?') parser.add_argument('--oratory1990', action='store_true', help='Update oratory1990 measurements?') parser.add_argument('--rtings', action='store_true', help='Update Rtings measurements?') parser.add_argument('--referenceaudioanalyzer', action='store_true', help='Update Reference Audio Analyzer measurements?') parser.add_argument('--prompt', action='store_true', help='Prompt for true names and forms?') return vars(parser.parse_args()) if __name__ == '__main__': main(**create_cli())

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01-Exercicios/Aula001/Ex2.py

AmandaRH07/Python_Entra21

0

23501

#--- Exercício 2 - Variáveis #--- Crie um menu para um sistema de cadastro de funcionários #--- O menu deve ser impresso com a função format() #--- As opções devem ser variáveis do tipo inteiro #--- As descrições das opções serão: #--- Cadastrar funcionário #--- Listar funcionários #--- Editar funcionário #--- Deletar funcionário #--- Sair #--- Além das opções o menu deve conter um cabeçalho e um rodapé #--- Entre o cabeçalho e o menu e entre o menu e o rodapé deverá ter espaçamento de 3 linhas #--- Deve ser utilizado os caracteres especiais de quebra de linha e de tabulação opcao = int(input(""" SISTEMA DE CADASTRO DE FUNCIONARIO\n\n\n {} - Cadastrar Funcionário {} - Listar Funcinários {} - Editar Funcionário {} - Deletar Funcionário {} - Sair\n\n\n Escolha uma opção: """.format(1,2,3,4,5))) if opcao == 1: print("A opção escolhida foi 'Cadastrar funcionário'") elif opcao == 2: print("A opção escolhida foi 'Listar funcionários'") elif opcao == 3: print("A opção escolhida foi 'Editar funcionário'") elif opcao == 4: print("A opção escolhida foi 'Deletar funcionário'") elif opcao == 5: print("A opção escolhida foi 'Sair'") else: pass

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stage/factory/base.py

daveshed/linearstage

0

74621

#pylint: disable=missing-docstring #pyling: enable=missing-docstring import abc class StageFactoryBase(abc.ABC): """ The factory base class that provides necessary objects required to instantiate a Stage object. """ @abc.abstractproperty def minimum_position(self): """The stage minimum position""" return @abc.abstractproperty def maximum_position(self): """The stage maximum position""" return @abc.abstractproperty def motor(self): """The motor to be used by the stage""" return @abc.abstractproperty def end_stop(self): """ End stop object that is triggered when the stage reaches the end of its travel """ return

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sps/sps/doctype/attendance_sheet/attendance_sheet.py

tushar7724/SPS

0

135641

<reponame>tushar7724/SPS # -*- coding: utf-8 -*- # Copyright (c) 2019, <NAME> and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe.utils import cint, flt, add_months, today, date_diff, getdate, add_days, cstr, nowdate from frappe.model.document import Document class AttendanceSheet(Document): def get_period_date_days(self): from datetime import date, timedelta d1 = getdate(self.start_date) d2 = getdate(self.end_date) delta = d2 - d1 # timedelta dates_days = [] for i in range(delta.days + 1): x = (d1 + timedelta(i)) x = str(x).split("-") dates_days.append(x[2]) return dates_days def get_contracts(self): period_doc = frappe.get_doc('Payroll Period', self.period) conditions = " and tc.start_date <= '%s' and tc.end_date >= '%s'" %(str(period_doc.end_date), str(period_doc.start_date)) if self.customer: conditions +=" and tc.party_name = '%s'" % (self.customer) if self.site: conditions +=" and tc.bu_site = '%s'" % (self.site) if self.contract: conditions +=" and tc.name = '%s'" % (self.contract) if self.branch_manager: conditions += " and tbu.branch_manager= '%s'" %(self.branch_manager) if self.area_officer: conditions += " and tbu.area_officer= '%s'" %(self.area_officer) #contract = frappe.db.sql("""select distinct name,contract_name,party_name,bu_site_name from`tabContract` where docstatus=1 %s ORDER BY contract_name""" %(conditions),as_dict=1) contract= frappe.db.sql(""" select distinct tc.name, tc.contract_name, tc.party_name, tc.bu_site_name from`tabContract` tc Inner join `tabBusiness Unit` tbu on tbu.name= tc.bu_site where tc.docstatus=1 and tc.status= 'Active' %s ORDER BY tc.contract_name; """%(conditions),as_dict=1) data={} if contract: for c in contract: pd = frappe.db.sql( """select parent,employee,employee_name,work_type,from_date,to_date from`tabPeople Posting` where employee !="" and parent='%s' and docstatus=1 """ % (c.name), as_dict=1) if pd: for idx,pdd in enumerate(pd): pdd['contract_id']=c.name pdd['contract_name']=c.contract_name pdd['party_name']=c.party_name pdd['bu_site_name']=c.bu_site_name if c.name in data: data[c.name]+= pd else:data[c.name]= pd print"######### Total No.of Attendance Sheet( Contracts ): %s ############" % len(data) return data or {}

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power4.py

valentinp72/PuissanceQuatre_bot

0

160924

<gh_stars>0 ''' power4.py <NAME> - 14/10/2016 MIT License Version 0.1 ==== This is the main file for the twitter bot power4 ''' # ------- # Imports import tweepy import sys import os # Import config file from config import * from msgLogger import * from gridFunctions import * # --------- # Init game game = [[0 for x in range(N_COLUMN)] for x in range(N_LINE)] # Clear terminal and print log os.system('clear') logMsg(HEADER, "power4", "Loading power4 bot ...\n") # --------------- # Auth to twitter auth = tweepy.OAuthHandler(Consumer_Key, Consumer_Secret) auth.set_access_token(Access_Key, Access_Secret) try: redirect_url = auth.get_authorization_url() logMsg(SUCCESS, "Twitter", "Successfully logged in Twitter.") except tweepy.TweepError: logMsg(FAIL, "Twitter", "Error! Wrong tokens. Check your config.py (or configSAMPLE.py if not present).") sys.exit() api = tweepy.API(auth) column = 2 line = addPiece(game, PLAYER_1, column) if line == -1: print "error" else: print "Piece added in : ["+ str(line) + "]["+str(column)+"]" printGame(game) logMsg(WARNING, "power4", "End of power4.py, quitting.") #api.update_status('Yeah, that rocks!')

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gpu_speed_test.py

baumgach/gpu_speed_test

1

189566

<filename>gpu_speed_test.py # Calculate the computation times for several matrix sizes on GPU # Author: <NAME> (<EMAIL>) from __future__ import print_function import os os.environ["CUDA_VISIBLE_DEVICES"] = os.environ['SGE_GPU'] import numpy as np import tensorflow as tf import time import socket def get_times(matrix_sizes): elapsed_times = [] for size in matrix_sizes: #print("####### Calculating size %d" % size) shape = (size,size) data_type = tf.float32 with tf.device('/gpu:0'): r1 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type) r2 = tf.random_uniform(shape=shape, minval=0, maxval=1, dtype=data_type) dot_operation = tf.matmul(r2, r1) with tf.Session() as session: #config=tf.ConfigProto(log_device_placement=True) start_time = time.time() result = session.run(dot_operation) elapsed_time = time.time() - start_time elapsed_times.append(elapsed_time) return elapsed_times if __name__ == "__main__": matrix_sizes = range(500,10000,50) times = get_times(matrix_sizes) print ('---------- Versions: -------------') print('Using GPU%s' % os.environ['SGE_GPU']) print('Tensorflow version:') print(tf.__version__) hostname = socket.gethostname() print('Hostname: %s' % hostname ) code_path = os.path.dirname(os.path.realpath(__file__)) print('Code path: %s' % code_path) print('----------- Summary: -------------') for ii, size in enumerate(matrix_sizes): print("Size: %dx%d, Time: %f secs" % (size,size,times[ii])) print('----------------------------------') print("Average time: %f" % np.mean(times)) print('----------------------------------') np.savez('%s/%s.npz' % (code_path, hostname), matrix_sizes, times)

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setup.py

Goggin/djeasyroute

0

152426

<filename>setup.py #!/usr/bin/env python try: from setuptools.core import setup except ImportError: from distutils.core import setup setup(name='djeasyroute', version='0.0.3', description='A simple class based route system for django similar to flask', author='<NAME>', author_email='<EMAIL>', url='https://github.com/Goggin/djeasyroute', download_url='', classifiers=[ "Development Status :: 3 - Alpha", "Framework :: Django", "License :: OSI Approved :: MIT License", "Operating System :: OS Independent", "Intended Audience :: Developers", "Topic :: Software Development", ], install_requires=[ 'django', ], packages=[ 'djeasyroute', ], )

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lib/python2.7/site-packages/appionlib/apTaskLog.py

leschzinerlab/myami-3.2-freeHand

0

138351

import sys import time import subprocess import math import os from appionlib import basicScript from appionlib import apParam from appionlib import apDisplay class TaskLog(basicScript.BasicScript): ''' TaskLog is used by TaskStatusLogger.py on remote cluster host to parse the logfile or result of a task for useful messages and added to the logfile of the job so that appion can monitor it from the local webserver ''' def __init__(self,optlist=[]): super(TaskLog,self).__init__(optlist,True) self.setAttributes() self.__checkTaskLogExistance() #===================== def setupParserOptions(self): # Agent class uses this to choose the RefineJob subclass self.parser.add_option("--jobtype", dest="jobtype", help="Job Type of processing run, e.g., emanrecon", metavar="X") self.parser.add_option("--tasktype", dest="tasktype", help="Type of task the logfile come from specific to the jobtype, e.g., 'refine' for emanrecon", metavar="X") self.parser.add_option("--iter", dest="iter", type="int", default=1, help="current iteration if applicable", metavar="INT") self.parser.add_option("--tasklogfile", dest="tasklogfile", help="Path for the task logfile. if relative path is given, current directory is assumed e.g. --tasklogfile=/home/you/sessionname/recon/runname/recon/refine1.log", metavar="PATH") #===================== def checkConflicts(self): if self.params['jobtype'] is None: apDisplay.printError("enter the refine jobtype, e.g. --jobtype=emanrecon") def setAttributes(self): self.jobtype = self.params['jobtype'] self.tasktype = self.params['tasktype'] self.tasklogfile = os.path.abspath(self.params['tasklogfile']) self.iter = self.params['iter'] self.failed = False def __checkTaskLogExistance(self): tasktype_display = self.tasktype.upper() tasklog_basename = os.path.basename(self.tasklogfile) if not os.path.isfile(self.tasklogfile): self.failed = True apDisplay.printError('task %s did not produce %s' % (tasktype_display,tasklog_basename),raised=False) else: apDisplay.printMsg('task %s produced successfully file %s' % (tasktype_display,tasklog_basename)) if os.stat(self.tasklogfile)[6] == 0: self.failed = True apDisplay.printError('task %s file %s is empty' % (tasktype_display,tasklog_basename),raised=False) def examineTaskLog(self): ''' add other log testing here ''' pass def start(self): # no need to examine tasklog content if already failed if not self.failed: self.examineTaskLog() if __name__ == '__main__': test = TaskLog() test.start() test.close()

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commands/slotsjackpot.py

Dabomstew/goldenrod

2

94878

import config import random import datetime, time import math def execute(parser, bot, user, args): slotsPool = bot.execQuerySelectOne("SELECT * FROM slotspool") bot.addressUser(user, "The current slots jackpot is %d %s." % (slotsPool["slotspool"], config.currencyPlural)) def requiredPerm(): return "anyone" def canUseByWhisper(): return True

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epde/Tokens.py

vnleonenko/EPDE

15

162611

<reponame>vnleonenko/EPDE """ Contains baseline prototypes of 'Token' instance as a gen in Individual chromosome. Classes ---------- Token TerminalToken ComplexToken """ import random import numpy as np from copy import deepcopy, copy from functools import reduce from abc import ABC, abstractmethod, abstractproperty class Token(ABC): """ A token is an entity that has some meaning in the context of a given task, and encapsulates information that is sufficient to work with it. """ @abstractmethod def value(self, grid): """ Return value of the token in the context of the task. Parameters ---------- grid: The grid on which the value is calculated. """ pass def name(self, with_params=False): try: return str(self.params[0]) + self.name_ except: try: if with_params: return type(self).__name__ + '(params=' + str(list(self.params)) + ')' return type(self).__name__ except: return type(self).__name__ def copy(self): return deepcopy(self) class TerminalToken(Token): """ TerminalToken is the token that returns a value as a vector whose evaluating requaires only numeric parameters. """ def __init__(self, number_params: int = 0, params_description: dict = None, params: np.ndarray = None, cache_val: bool = True, fix_val: bool = False, fix: bool = False, val: np.ndarray = None, type_: str = 'TerminalToken', optimizer: str = None, name_: str = None, mandatory: float = 0, optimize_id: int = None): """ Parameters ---------- number_params: int Number of numeric parameters describing the behavior of the token. params_description: dict The dictionary of dictionaries for describing numeric parameters of the token. Must have the form like: { parameter_index: dict(name='name', bounds=(min_value, max_value)[, ...]), ... } params: numpy.ndarray Numeric parameters of the token for calculating its value. cache_val: bool If true, token value will be calculated only when its params are changed. Calculated value is written to the token property 'self.val'. fix_val: bool Defined by parameter 'cache_val'. If true, token value returns 'self.val'. fix: bool If true, numeric parameters will not be changed by optimization procedures. val: np.ndarray Value of the token. type_: str Type of the token. optimizer: str Optimizer name_: str The name of the token that will be used for visualisation results and some comparison operations. mandatory: float Unique id for the token. If not zero, the token must be present in the result construct. optimize_id: int Used for identifications by optimizers which token to optimize. """ self._number_params = number_params if params_description is None: params_description = {} self.params_description = params_description self.check_params_description() if params is None: self.params = np.zeros(self._number_params) else: self.params = np.array(params, dtype=float) self.check_params() self.val = val self.fix = fix self.cache_val = cache_val self._fix_val = fix_val self.type = type_ self.optimizer = optimizer self.name_ = name_ self.mandatory = mandatory self.optimize_id = optimize_id def copy(self): new_copy = copy(self) new_copy.params = deepcopy(new_copy.params) return new_copy # Methods for work with params and its descriptions @property def params_description(self): return self._params_description @params_description.setter def params_description(self, params_description: dict): """ Params_description is dictionary of dictionaries for describing numeric parameters of the token. Must have the form like: { parameter_index=0: dict(name='name', bounds=(min_value, max_value)[, ...]), ... } Params_description must contain all fields for work in current tokens that will be checked by method 'self.check_params_description()'. Parameters ---------- params_description: dict Dictionary with description for each parameter """ assert type(params_description) == dict self._params_description = params_description def check_params_description(self): """ Check params_description for requirements for current token. """ recomendations = "\nUse methods 'params_description.setter' or 'set_descriptor' to change params_descriptions" assert type( self._params_description) == dict, "Invalid params_description structure," \ " must be a dictionary of dictionaries" + recomendations assert len(self._params_description) == self._number_params, "The number of parameters does not" \ " match the number of descriptors" + recomendations for key, value in self._params_description.items(): assert type(value) == dict, "Invalid params_description structure, must be a dictionary of dictionaries" assert 'name' in value.keys(), "Key 'name' must be in the nested" \ " dictionary for each parameter" + recomendations assert 'bounds' in value.keys(), "Key 'bounds' must be in the nested " \ "dictionary for each parameter" + recomendations assert key < self._number_params, "The parameter index must not exceed" \ " the number of parameters" + recomendations assert (len(value['bounds']) == 2 and value['bounds'][0] <= value['bounds'][1]), "Bounds of each parameter must have" \ " length = 2 and contain value" \ " boundaries MIN <= MAX." + recomendations def set_descriptor(self, key: int, descriptor_name: str, descriptor_value): try: self._params_description[key][descriptor_name] = descriptor_value except KeyError: print('There is no parameter with such index/descriptor') def get_key_use_params_description(self, descriptor_name: str, descriptor_value): for key, value in self._params_description.items(): if value[descriptor_name] == descriptor_value: return key raise KeyError() def get_descriptor_foreach_param(self, descriptor_name: str) -> list: ret = [None for _ in range(self._number_params)] for key, value in self._params_description.items(): ret[key] = value[descriptor_name] return ret @property def params(self): return self._params @params.setter def params(self, params): assert len(params) == self._number_params, "Input array has incorrect size" self._params = np.array(params, dtype=float) self._fix_val = False def check_params(self): recomendations = "\nUse methods 'params.setter' or 'set_param' to change params" assert len( self._params) == self._number_params, "The number of parameters does not match the length of params array" + recomendations for key, value in self._params_description.items(): if self._params[key] > value['bounds'][1]: self._params[key] = value['bounds'][1] if self._params[key] < value['bounds'][0]: self._params[key] = value['bounds'][0] def param(self, name=None, idx=None): try: idx = idx if name == None else self.get_key_use_params_description('name', name) except KeyError: print('There is no parameter with this name') try: return self._params[idx] except IndexError: print('There is no parameter with this index') def set_param(self, param, name=None, idx=None): try: idx = idx if name is None else self.get_key_use_params_description('name', name) except KeyError: raise KeyError('"{}" have no parameter with name "{}"'.format(self, name)) try: self._params[idx] = param self._fix_val = False except IndexError: raise IndexError('"{}" have no parameter with index "{}"'.format(self, idx)) def init_params(self): try: for key, value in self._params_description.items(): self.set_param(np.random.uniform(value['bounds'][0], value['bounds'][1]), idx=key) except OverflowError: # tb = sys.exc_info()[2] raise OverflowError('Bounds have incorrect/infinite values') # .with_traceback(tb) def set_val(self, val): self.val = val def value(self, grid): """ Returns value of the token on the grid. Returns either cache result in self.val or calculated value in self.val by method self.evaluate(). Parameters ---------- grid: np.ndarray Grid for evaluation. Returns ------- Value of the token. """ if not self._fix_val or self.val is None: # self.check_params() self._fix_val = self.cache_val self.val = self.evaluate(self.params, grid) # centralization # self.val -= np.mean(self.val) assert self.val.shape == grid.shape, "Value must be the same shape as grid" return self.val @staticmethod def evaluate(params, grid): """ Calculating token value on the grid depending on parameters. Must be override/implement in each TerminalToken. May be not staticmethod if it is necessary. Parameters ---------- params: numpy.ndarray Numeric token parameters. grid: numpy.ndarray Grid for evaluation. Returns ------- numpy.ndarray """ return np.zeros(grid.shape) class ComplexToken(TerminalToken): """ ComplexToken is the Token which consists other tokens (as subtokens in property self.subtokens) in addition to the numeric parameters. Example: Product of TerminalTokens. """ def __init__(self, number_params: int = 0, params_description: dict = None, params: np.ndarray = None, cache_val: bool = True, fix_val: bool = False, fix: bool = False, val: np.ndarray = None, type_: str = 'TerminalToken', optimizer: str = None, name_: str = None, mandatory: float = 0, optimize_id: int = None, subtokens: list = None): """ Parameters ---------- See documentation TerminalToken.__init__.__doc__ subtokens: list List of other tokens which current token uses for calculating its value. """ super().__init__(number_params=number_params, params_description=params_description, params=params, cache_val=cache_val, fix_val=fix_val, fix=fix, val=val, type_=type_, optimizer=optimizer, name_=name_, mandatory=mandatory) if subtokens is None: subtokens = [] self.subtokens = subtokens self._check_mandatory() @property def subtokens(self): return self._subtokens @subtokens.setter def subtokens(self, subtokens: list): for token in subtokens: token.set_param(1, name='Amplitude') self._fix_val = False self._subtokens = subtokens self._check_mandatory() def add_subtoken(self, token): token.set_param(1, name='Amplitude') self._fix_val = False self.subtokens.append(token) self._check_mandatory() def set_subtoken(self, token, idx): token.set_param(1, name='Amplitude') self._fix_val = False self.subtokens[idx] = token self._check_mandatory() def del_subtoken(self, token): self.subtokens.remove(token) def _check_mandatory(self): """ If some subtoken in ComplexToken is mandatory then ComplexToken is mandatory too. Returns ------- """ for subtoken in self.subtokens: if subtoken.mandatory != 0: self.mandatory = np.random.uniform() return self.mandatory = 0

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]

spacy/lang/pt/lex_attrs.py

keshan/spaCy

1

14125

<filename>spacy/lang/pt/lex_attrs.py # coding: utf8 from __future__ import unicode_literals from ...attrs import LIKE_NUM _num_words = ['zero', 'um', 'dois', 'três', 'tres', 'quatro', 'cinco', 'seis', 'sete', 'oito', 'nove', 'dez', 'onze', 'doze', 'dúzia', 'dúzias', 'duzia', 'duzias', 'treze', 'catorze', 'quinze', 'dezasseis', 'dezassete', 'dezoito', 'dezanove', 'vinte', 'trinta', 'quarenta', 'cinquenta', 'sessenta', 'setenta', 'oitenta', 'noventa', 'cem', 'cento', 'duzentos', 'trezentos', 'quatrocentos', 'quinhentos', 'seicentos', 'setecentos', 'oitocentos', 'novecentos', 'mil', 'milhão', 'milhao', 'milhões', 'milhoes', 'bilhão', 'bilhao', 'bilhões', 'bilhoes', 'trilhão', 'trilhao', 'trilhões', 'trilhoes', 'quadrilhão', 'quadrilhao', 'quadrilhões', 'quadrilhoes'] _ordinal_words = ['primeiro', 'segundo', 'terceiro', 'quarto', 'quinto', 'sexto', 'sétimo', 'oitavo', 'nono', 'décimo', 'vigésimo', 'trigésimo', 'quadragésimo', 'quinquagésimo', 'sexagésimo', 'septuagésimo', 'octogésimo', 'nonagésimo', 'centésimo', 'ducentésimo', 'trecentésimo', 'quadringentésimo', 'quingentésimo', 'sexcentésimo', 'septingentésimo', 'octingentésimo', 'nongentésimo', 'milésimo', 'milionésimo', 'bilionésimo'] def like_num(text): text = text.replace(',', '').replace('.', '') if text.isdigit(): return True if text.count('/') == 1: num, denom = text.split('/') if num.isdigit() and denom.isdigit(): return True if text.lower() in _num_words: return True if text.lower() in _ordinal_words: return True return False LEX_ATTRS = { LIKE_NUM: like_num }

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spider_service/app/spider/selenium/webdriver.py

seniortesting/python-spider

0

20166

# -*- coding:utf-8 -*- import random import time from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.common.keys import Keys from app.api.util.web_request import WebRequest, USER_AGENT_PC, USER_AGENT_MOBILE class SpiderWebDriver(object): def __init__(self, url: str, userAgent: str = None,referer: str=None, proxy: str = None): # 进入浏览器设置 chrome_options = Options() # 配置参数: http://chromedriver.chromium.org/capabilities # 详细参数： https://peter.sh/experiments/chromium-command-line-switches/ chrome_options.add_argument('lang=zh_CN.UTF-8') # chrome_options.add_argument('headless') # chrome_options.add_argument('window-size=1024,768') chrome_options.add_argument('no-sandbox') chrome_options.add_argument("disable-gpu") chrome_options.add_argument("ignore-certificate-errors"); chrome_options.add_argument("disable-popup-blocking"); chrome_options.add_argument("disable-default-apps"); # Chrome is being controlled by automated test software if userAgent is None: # 默认safari pc端浏览器 userAgent = 'Mozilla/5.0 (Windows NT 6.1; WOW64) AppleWebKit/534.57.2 (KHTML, like Gecko) Version/5.1.7 Safari/534.57.2' chrome_options.add_argument('user-agent="' + userAgent + '"') chrome_options.add_argument('referer="https://www.google.com/"') if proxy is not None: proxy_str = "http://{proxy}".format(proxy=proxy) chrome_options.add_argument('proxy-server=' + proxy_str) # http://chromedriver.storage.googleapis.com/index.html self.driver = webdriver.Chrome(options=chrome_options) self.driver.maximize_window() if url: self.driver.get(url=url) def close(self): driver = self.driver if driver is None: return try: driver.close() driver.quit() finally: self.driver = None def __enter__(self): return self def __exit__(self, *exc_info): del exc_info self.close() def open(self, url): self.driver.get(url) def get_cookies(self): cookies_dict = {} cookies = self.driver.get_cookies() for cookie in cookies: cookies_dict[cookie['name']] = cookie['value'] return cookies_dict def execute_js(self, js, *args): return self.driver.execute_script(js, args) def adsenseClick(): # 获取wordpress的随机文章 url = 'https://pingbook.top/wp-json/wp/v2/posts' r=WebRequest() post_list=r.pc().get(url=url).json() # links=[ item.get('link') for item in post_list] # print(links) # post_list =[{'link': 'https://pingbook.top/vue-videojs-m3u8-player-a-html5-video-player/'}] # 模拟操作打开文章 proxyset = set() for num in range(10000): post=random.choice(post_list) post_url=post.get('link') print('发送请求的文章地址是: {}'.format(post_url)) agents = USER_AGENT_PC + USER_AGENT_MOBILE time_count = num + 1 driver = None try: content = r.pc().get('https://open.pingbook.top/proxy/get?type=valid').json() proxy = content.get('data').get('proxy') print('发送请求的代理是: {}'.format(proxy)) if proxy not in proxyset: # 时候重复的使用了相同的ip地址 proxyset.add(proxy) agent = random.choice(agents) driver = SpiderWebDriver(post_url, agent, proxy) driver.open(post_url) print('已经打开博客地址: {}'.format(post_url)) driver.driver.refresh() submitBtn =driver.driver.find_element_by_id('submit') if submitBtn: # 滚动到对应的广告部分 driver.driver.execute_script('arguments[0].scrollIntoView(true);',submitBtn) submitBtn.click() time.sleep(3) # driver.driver.refresh() # wait = WebDriverWait(driver.driver, 6) # element = wait.until(expected_conditions.element_to_be_clickable((By.ID, 'ads'))) # driver.close() print('第{}次轮训成功,代理: {}。。。。'.format(time_count, proxy)) # actionBtn = driver.driver.find_element_by_class_name('copy-btn') # if actionBtn: # driver.driver.refresh() # wait = WebDriverWait(driver.driver, 6) # element = wait.until(expected_conditions.element_to_be_clickable((By.ID, 'ads'))) # actionBtn.click() # driver.close() # print('第{}次轮训成功,代理: {}。。。。'.format(time, proxy)) else: print('当前代理地址: {}已经存在,不再使用该地址进行测试,代理池大小: {}!'.format(proxy,len(proxyset))) except Exception as e: print('第{}次轮训失败,失败信息: {}。。。。'.format(time_count, e)) # raise finally: if driver is not None: driver.close() def searchGoogle(): keyword= 'nuxt create nuxt app error :pingbook.top' # 模拟操作打开文章 proxyset = set() r=WebRequest() agents=USER_AGENT_PC for num in range(10000): driver = None try: content = r.pc().get('https://open.pingbook.top/proxy/get?type=valid').json() proxy = content.get('data').get('proxy') print('发送请求的代理是: {}'.format(proxy)) if proxy not in proxyset: # 时候重复的使用了相同的ip地址 proxyset.add(proxy) agent = random.choice(agents) spider = SpiderWebDriver(None, agent, proxy) spider.open('https://google.com') driver =spider.driver # 输入关键字 inputbox=driver.find_element_by_name('q') if inputbox: inputbox.send_keys(keyword) inputbox.send_keys(Keys.ENTER) time.sleep(3) # 点击第一条记录 first_record=driver.find_element_by_css_selector('#rso > div:nth-child(1) > div > div:nth-child(1) > div > div > div.r > a') first_record.click() time.sleep(5) driver.refresh() time.sleep(6) except Exception as e: print('第{}次轮训失败,失败信息: {}。。。。'.format(num, e)) finally: if driver is not None: driver.quit() if __name__ == '__main__': adsenseClick()

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conanfile.py

torshind/conan-pcg-cpp

0

125483

from conans import ConanFile, CMake class PcgCppConan(ConanFile): name = "pcg-cpp" version = "latest" license = "MIT" homepage = "http://www.pcg-random.org/" url = "https://github.com/torshind/conan-pcg-cpp/" description = "PCG — C++ Implementation" settings = "os", "compiler", "build_type", "arch" options = {"shared": [True, False]} default_options = {"shared": False} exports_sources = "*" def source(self): self.run("git clone https://github.com/imneme/pcg-cpp.git") def build(self): self.run("cd pcg-cpp && make test") def package(self): self.copy("*.hpp", dst="include", src="pcg-cpp/include") def package_info(self): self.info.header_only()

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scripts/cosmoWindToNC.py

r-beer/RESKit

0

104035

<filename>scripts/cosmoWindToNC.py #### Setup command line arguments import argparse parser = argparse.ArgumentParser(description='Process single-timestep 3D wind grib files and construct an output NC file') parser.add_argument(dest="uFile", type=str, help='path to the file containing 3D U wind speeds') parser.add_argument(dest="vFile", type=str, help='path to the file containing 3D V wind speeds') parser.add_argument('-o', dest='oFile', type=str, default="CHANGEME", help='path to the desired output file') parser.add_argument(dest='cFile', type=str, help='path to the file containing domain constants') args = parser.parse_args() #### Imports import netCDF4 as nc import pygrib from collections import OrderedDict, defaultdict import pandas as pd from datetime import datetime as dt import numpy as np #### Arrange constants constDS = nc.Dataset(args.cFile) levels = constDS["level"][:] if levels[1] < levels[0]: raise RuntimeError("levels need to be in increasing order") midHeights = OrderedDict() for l,mh in zip(levels,constDS["cell_mean"][:]): midHeights[l] = mh ####### # find levels around desired heights heights = [10, 100, 140] heightLevels = [] levelsToSaveU = {} levelsToSaveV = {} for h in heights: for i,l in enumerate(levels): if midHeights[l] <= h: heightLevels.append((levels[i-1],levels[i])) # add levels to the search list levelsToSaveU[levels[i-1]] = False levelsToSaveU[levels[i]] = False levelsToSaveV[levels[i-1]] = False levelsToSaveV[levels[i]] = False break #### Read WS data grbs = pygrib.open(args.uFile) # find data for each height rawWSU = OrderedDict() timeVal = None grbs.seek(0) for grb in grbs: # Check if we have a wind speed if not grb.indicatorOfParameter == 33: continue gLvl = grb.bottomLevel # Check if we want this level if not gLvl in levelsToSaveU: continue # Make sure we have the right time tmp = dt(year=grb.year, month=grb.month, day=grb.day, hour=grb.hour, minute=grb.minute) timeValTmp = (tmp - dt(year=1900, month=1, day=1, hour=0, minute=0)).total_seconds()//60 if timeVal is None: timeVal = timeValTmp else: if timeVal != timeValTmp: raise RuntimeError("Time mismatch") # Store data rawWSU[gLvl] = grb.values Ny,Nx = rawWSU[gLvl].shape levelsToSaveU[gLvl]=True #### Read WS data grbs = pygrib.open(args.vFile) # find data for each height rawWSV = OrderedDict() grbs.seek(0) for grb in grbs: # Check if we have a wind speed if not grb.indicatorOfParameter == 34: continue gLvl = grb.bottomLevel # Check if we want this level if not gLvl in levelsToSaveV: continue # Make sure we have the right time tmp = dt(year=grb.year, month=grb.month, day=grb.day, hour=grb.hour, minute=grb.minute) timeValTmp = (tmp - dt(year=1900, month=1, day=1, hour=0, minute=0)).total_seconds()//60 if timeVal != timeValTmp: raise RuntimeError("Time mismatch") # Store data rawWSV[gLvl] = grb.values Ny,Nx = rawWSV[gLvl].shape levelsToSaveV[gLvl]=True # make sure we found all required levels for level,found in levelsToSaveU.items(): if not found: raise RuntimeError("level %d not found"%level) for level,found in levelsToSaveV.items(): if not found: raise RuntimeError("level %d not found"%level) # Do interpolations ws = np.zeros((1,len(heights), Ny, Nx) ) for i,h in enumerate(heights): lvl0 = heightLevels[i][0] lvl1 = heightLevels[i][1] ws0 = np.sqrt(rawWSU[lvl0]*rawWSU[lvl0] + rawWSV[lvl0]*rawWSV[lvl0]) ws1 = np.sqrt(rawWSU[lvl1]*rawWSU[lvl1] + rawWSV[lvl1]*rawWSV[lvl1]) a = np.log(ws0/ws1)/np.log(midHeights[lvl0]/midHeights[lvl1]) ws[0,i,:,:] = ws0 * np.power(h/midHeights[lvl0], a) #### Make output NC file if args.oFile == "CHANGEME": oFile = args.uFile.replace(".grb",".nc") else: oFile = args.oFile ods = nc.Dataset(oFile,"w") # set dimensions ods.createDimension("time", ws.shape[0] ) ods.createDimension("height", ws.shape[1] ) ods.createDimension("latI", ws.shape[2]) ods.createDimension("lonI", ws.shape[3]) # set time var = ods.createVariable("time", int, ("time", )) var.setncatts(dict( name="time", units="Minutes since 1900-01-01 00:00:00" )) var[:] = [ int(timeVal), ] # set heights var = ods.createVariable("height", int, ("height", )) var.setncatts(dict( name="Height above surface", units="m" )) var[:] = heights # set windspeed var = ods.createVariable("wspd", "f", ("time", "height", "latI", "lonI"), zlib=True) var.setncatts(dict( name="Wind speed", units="m/s", )) var[:] = ws # DONE! ods.close()

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meeko/preparation.py

forlilab/Meeko

19

138852

#!/usr/bin/env python # -*- coding: utf-8 -*- # # Meeko preparation # import os import sys from collections import OrderedDict import warnings from rdkit import Chem from .molsetup import OBMoleculeSetup from .molsetup import RDKitMoleculeSetup from .atomtyper import AtomTyper from .bondtyper import BondTyperLegacy from .hydrate import HydrateMoleculeLegacy from .macrocycle import FlexMacrocycle from .flexibility import FlexibilityBuilder from .writer import PDBQTWriterLegacy try: from openbabel import openbabel as ob except ImportError: _has_openbabel = False else: _has_openbabel = True class MoleculePreparation: def __init__(self, keep_nonpolar_hydrogens=False, hydrate=False, flexible_amides=False, rigid_macrocycles=False, min_ring_size=7, max_ring_size=33, keep_chorded_rings=False, keep_equivalent_rings=False, rigidify_bonds_smarts=[], rigidify_bonds_indices=[], double_bond_penalty=50, atom_type_smarts={}, add_index_map=False, stop_at_defaults=False, remove_smiles=False): self.keep_nonpolar_hydrogens = keep_nonpolar_hydrogens self.hydrate = hydrate self.flexible_amides = flexible_amides self.rigid_macrocycles = rigid_macrocycles self.min_ring_size = min_ring_size self.max_ring_size = max_ring_size self.keep_chorded_rings = keep_chorded_rings self.keep_equivalent_rings = keep_equivalent_rings self.rigidify_bonds_smarts = rigidify_bonds_smarts self.rigidify_bonds_indices = rigidify_bonds_indices self.double_bond_penalty = double_bond_penalty self.atom_type_smarts = atom_type_smarts self.add_index_map = add_index_map self.remove_smiles = remove_smiles if stop_at_defaults: return # create an object to show just the defaults (e.g. to argparse) self.setup = None self._atom_typer = AtomTyper(self.atom_type_smarts) self._bond_typer = BondTyperLegacy() self._macrocycle_typer = FlexMacrocycle( self.min_ring_size, self.max_ring_size, self.double_bond_penalty) self._flex_builder = FlexibilityBuilder() self._water_builder = HydrateMoleculeLegacy() self._writer = PDBQTWriterLegacy() self.is_ok = None self.log = None self._classes_setup = {Chem.rdchem.Mol: RDKitMoleculeSetup} if _has_openbabel: self._classes_setup[ob.OBMol] = OBMoleculeSetup if keep_chorded_rings and keep_equivalent_rings==False: warnings.warn("keep_equivalent_rings=False ignored because keep_chorded_rings=True", RuntimeWarning) @classmethod def init_just_defaults(cls): return cls(stop_at_defaults=True) @ classmethod def from_config(cls, config): expected_keys = cls.init_just_defaults().__dict__.keys() bad_keys = [k for k in config if k not in expected_keys] for key in bad_keys: print("ERROR: unexpected key \"%s\" in MoleculePreparation.from_config()" % key, file=sys.stderr) if len(bad_keys) > 0: raise ValueError p = cls(**config) return p def prepare(self, mol, root_atom_index=None, not_terminal_atoms=[]): """ if protein_sidechain, C H N O will be removed, root will be CA, and BEGIN/END_RES will be added. """ mol_type = type(mol) if not mol_type in self._classes_setup: raise TypeError("Molecule is not an instance of supported types: %s" % type(mol)) setup_class = self._classes_setup[mol_type] setup = setup_class(mol, keep_chorded_rings=self.keep_chorded_rings, keep_equivalent_rings=self.keep_equivalent_rings) self.setup = setup # 1. assign atom types (including HB types, vectors and stuff) # DISABLED TODO self.atom_typer.set_parm(mol) self._atom_typer(setup) # 2a. add pi-model + merge_h_pi (THIS CHANGE SOME ATOM TYPES) # disabled # 2b. merge_h_classic if not self.keep_nonpolar_hydrogens: setup.merge_hydrogen() # 3. assign bond types by using SMARTS... # - bonds should be typed even in rings (but set as non-rotatable) # - if macrocycle is selected, they will be enabled (so they must be typed already!) self._bond_typer(setup, self.flexible_amides, self.rigidify_bonds_smarts, self.rigidify_bonds_indices, not_terminal_atoms) # 4 . hydrate molecule if self.hydrate: self._water_builder.hydrate(setup) # 5. break macrocycles into open/linear form if self.rigid_macrocycles: break_combo_data = None bonds_in_rigid_rings = None # not true, but this is only needed when breaking macrocycles else: break_combo_data, bonds_in_rigid_rings = self._macrocycle_typer.search_macrocycle(setup) # 6. build flexibility... # 6.1 if macrocycles typed: # - walk the setup graph by skipping proposed closures # and score resulting flex_trees basing on the lenght # of the branches generated # - actually break the best closure bond (THIS CHANGES SOME ATOM TYPES) # 6.2 - walk the graph and build the flextree # 7. but disable all bonds that are in rings and not # in flexible macrocycles # TODO restore legacy AD types for PDBQT #self._atom_typer.set_param_legacy(mol) new_setup = self._flex_builder(setup, root_atom_index=root_atom_index, break_combo_data=break_combo_data, bonds_in_rigid_rings=bonds_in_rigid_rings) self.setup = new_setup # TODO re-run typing after breaking bonds # self.bond_typer.set_types_legacy(mol, exclude=[macrocycle_bonds]) self.is_ok = self._check() def _check(self): # verify that all atoms have been typed is_ok = True msg = "" for idx in self.setup.atom_type: atom_type = self.setup.atom_type[idx] if atom_type is None: msg += 'atom number %d has None type, mol name: %s' % (idx, self.setup.get_mol_name()) is_ok = False self.log = msg return is_ok def show_setup(self): if self.setup is not None: tot_charge = 0 print("Molecule setup\n") print("==============[ ATOMS ]===================================================") print("idx | coords | charge |ign| atype | connections") print("-----+----------------------------+--------+---+----------+--------------- . . . ") for k, v in list(self.setup.coord.items()): print("% 4d | % 8.3f % 8.3f % 8.3f | % 1.3f | %d" % (k, v[0], v[1], v[2], self.setup.charge[k], self.setup.atom_ignore[k]), "| % -8s |" % self.setup.atom_type[k], self.setup.graph[k]) tot_charge += self.setup.charge[k] print("-----+----------------------------+--------+---+----------+--------------- . . . ") print(" TOT CHARGE: %3.3f" % tot_charge) print("\n======[ DIRECTIONAL VECTORS ]==========") for k, v in list(self.setup.coord.items()): if k in self.setup.interaction_vector: print("% 4d " % k, self.setup.atom_type[k], end=' ') print("\n==============[ BONDS ]================") # For sanity users, we won't show those keys for now keys_to_not_show = ['bond_order', 'type'] for k, v in list(self.setup.bond.items()): t = ', '.join('%s: %s' % (i, j) for i, j in v.items() if not i in keys_to_not_show) print("% 8s - " % str(k), t) self._macrocycle_typer.show_macrocycle_scores(self.setup) print('') def write_pdbqt_string(self, add_index_map=None, remove_smiles=None): if self.is_ok == False: raise RuntimeError("Molecule not OK, refusing to write PDBQT\n\nLOG:\n%s" % self.log) if add_index_map is None: add_index_map = self.add_index_map if remove_smiles is None: remove_smiles = self.remove_smiles if self.setup is not None: return self._writer.write_string(self.setup, add_index_map, remove_smiles) else: raise RuntimeError('Cannot generate PDBQT file, the molecule is not prepared.') def write_pdbqt_file(self, pdbqt_filename, add_index_map=None, remove_smiles=None): with open(pdbqt_filename,'w') as w: w.write(self.write_pdbqt_string(add_index_map, remove_smiles)) def adapt_pdbqt_for_autodock4_flexres(self, pdbqt_string, res, chain, num): """ adapt pdbqt_string to be compatible with AutoDock4 requirements: - first and second atoms named CA and CB - write BEGIN_RES / END_RES - remove TORSDOF this is for covalent docking (tethered) """ new_string = "BEGIN_RES %s %s %s\n" % (res, chain, num) atom_number = 0 for line in pdbqt_string.split("\n"): if line == "": continue if line.startswith("TORSDOF"): continue if line.startswith("ATOM"): atom_number+=1 if atom_number == 1: line = line[:13] + 'CA' + line[15:] elif atom_number == 2: line = line[:13] + 'CB' + line[15:] new_string += line + '\n' continue new_string += line + '\n' new_string += "END_RES %s %s %s\n" % (res, chain, num) return new_string

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DL/live_camera_ocr/LC_layer.py

jay-z007/Deep-Learning

0

167181

<filename>DL/live_camera_ocr/LC_layer.py import numpy as np # data # weights # strides # padding(opt) # def get_patches(): # pass """ data : 3d [in_height 4, in_width 4, in_depth 64] //weights : 5d [in_height (4), in_width (4), in_depth (64), kernel*kernel (3x3), depth (64)] weights : [kernel, kernel, in_depth, in_height-diff, in_width-diff, depth] biases : ? """ def LC_layer(data, weights, strides, kernel_size=3):#, padding="SAME"): shape = list(weights.shape) filters = shape[5] Y = shape[3] X = shape[4] #shape = list(data.shape) #print shape diff = kernel_size - 1 sumb = np.ndarray(shape=(Y, X, filters), dtype=np.float32) for d in range(filters): for h in range(Y, strides[1]): for w in range(X, strides[0]): sumb[h, w, d] = np.sum(data[h:h+kernel_size, w:w+kernel_size, :] * weights[:, :, :, h:h+kernel_size, w:w+kernel_size, d]) print sumb.shape data = np.ndarray(shape=(4, 4, 64), dtype=np.float32) weights = np.ndarray(shape=(3, 3, 64, 2, 2, 5), dtype=np.float32) LC_layer(data, weights, [2,2])

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pre_commit_hooks/loaderon_hooks/util/file_helpers.py

alvaroscelza/pre-commit-hooks

0

74856

<gh_stars>0 # -*- coding: utf-8 -*- import os import re def read_file(file_path, only_first_line=False): opened_file = open(file_path) if only_first_line: lines = opened_file.readline() else: lines = opened_file.readlines() opened_file.close() return lines def read_file_line(file_path): return read_file(file_path, True) def read_file_lines(file_path): return read_file(file_path) def find_file_starting_from_reference_file_directory(reference_file, file_to_find): """Attempts to find file_to_find by navigating through directories from reference_file's parent directory.""" file_path = os.path.realpath(reference_file) folder_path = os.path.dirname(file_path) for root, unused_dirs, files in os.walk(folder_path): if file_to_find in files: return os.path.join(root, file_to_find) return None def get_indexes_of_lines_per_regex(file_lines, regex): regex_pattern = re.compile(regex) indexes_of_lines_defining_regex = [] for index, line in enumerate(file_lines): if regex_pattern.match(line): indexes_of_lines_defining_regex.append(index) return indexes_of_lines_defining_regex def get_bunches_of_lines_dividing_by_regex(file_lines, regex): lines = [] indexes_of_lines_per_regex = get_indexes_of_lines_per_regex(file_lines, regex) for index, index_of_lines in enumerate(indexes_of_lines_per_regex): try: next_regex_index = indexes_of_lines_per_regex[index + 1] current_regex_lines = file_lines[index_of_lines:next_regex_index] except IndexError: current_regex_lines = file_lines[index_of_lines:] lines.append(current_regex_lines) return lines def split_by_regexp(filename, regex): file_lines = read_file_lines(filename) return get_bunches_of_lines_dividing_by_regex(file_lines, regex)

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agent/tests/test_input/test_1/test_kafka_http.py

anodot/daria

16

153927

<filename>agent/tests/test_input/test_1/test_kafka_http.py<gh_stars>10-100 import json import subprocess import traceback from agent import cli, source, pipeline from ..test_zpipeline_base import TestInputBase from ...conftest import get_input_file_path class TestKafka(TestInputBase): __test__ = True params = { 'test_source_create': [{'name': 'test_kfk'}, {'name': 'test_running_counters'}, {'name': 'test_json_arrays'}], 'test_create': [ { 'source_name': 'test_kfk', 'name': 'test_kfk_value_const', 'options': ['-a'], 'value': 'y\nclicks\ny\n\n \n ', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n\n\n\n' }, { 'source_name': 'test_kfk', 'name': 'test_kfk_timestamp_ms', 'options': [], 'value': 'n\nClicks:gauge\nClicks:clicks', 'timestamp': 'timestamp_unix_ms\nunix_ms', 'advanced_options': '' }, { 'source_name': 'test_kfk', 'name': 'test_kfk_timestamp_string', 'options': ['-a'], 'value': 'y\nclicks\ny\n\n \n ', 'timestamp': 'timestamp_string\nstring\nM/d/yyyy H:mm:ss\n', 'advanced_options': 'key1:val1\ntag1:tagval tag2:tagval\n"Country" == "USA"\n/home/kafka_transform.csv' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter', 'options': ['-a'], 'value': 'n\ny\n\nClicks:running_counter\nClicks:clicks', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \n\nn' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter_static_tt', 'options': ['-a'], 'value': 'n\nn\n \nClicks:running_counter\nClicks:metric', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \nn' }, { 'source_name': 'test_running_counters', 'name': 'test_kfk_running_counter_dynamic_what', 'options': ['-a'], 'value': 'n\nn\n\nClicks:agg_type\nClicks:metric', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': 'key1:val1\n \n \n \nn' }, { 'source_name': 'test_json_arrays', 'name': 'test_json_arrays', 'options': ['-a'], 'value': 'n\ny\nkpis\n\nClicks:gauge\nClicks:clicks', 'timestamp': 'timestamp_unix\nunix', 'advanced_options': ' \n \n \n \n\nn' }, { 'source_name': 'test_kfk', 'name': 'test_kafka_timezone', 'options': ['-a'], 'value': 'n\ny\n \nClicks:gauge\n ', 'timestamp': 'timestamp_string\nstring\nM/d/yyyy H:mm:ss\nEurope/Berlin', 'advanced_options': '\n\n\n\n\nn' }, ], 'test_edit': [ {'options': ['test_kfk_value_const', '-a'], 'value': 'y\nclicks\n\n\n\n'}, {'options': ['test_kfk_timestamp_string', '-a'], 'value': 'n\nn\n\nClicks:agg_type\nClicks:metric'} ], 'test_create_transform_value': [ { 'pipeline_id': 'test_transform_value', 'transform_file': '/home/kafka_transform_value.csv' }, { 'pipeline_id': 'test_transform_value_2', 'transform_file': '/home/kafka_transform_value_2.csv' }, ], 'test_create_source_with_file': [{'file_name': 'kafka_sources'}], 'test_create_with_file': [{'file_name': 'kafka_pipelines'}], } def test_source_create(self, cli_runner, name): result = cli_runner.invoke(cli.source.create, catch_exceptions=False, input=f"kafka\n{name}\nkafka:29092\n{name}\n\n\n") assert result.exit_code == 0 assert source.repository.exists(name) def test_create(self, cli_runner, source_name, name, options, value, timestamp, advanced_options): result = cli_runner.invoke( cli.pipeline.create, options, catch_exceptions=False, input=f"{source_name}\n{name}\n\n{value}\n{timestamp}\nver Country\nExchange optional_dim ad_type ADTYPE GEN\n\n{advanced_options}\n" ) traceback.print_exception(*result.exc_info) assert result.exit_code == 0 pipeline_ = pipeline.repository.get_by_id(name) assert bool(pipeline_.override_source) def test_edit(self, cli_runner, options, value): result = cli_runner.invoke(cli.pipeline.edit, options, catch_exceptions=False, input=f"\n{value}\n\n\n\n\n\n\n\n\n\n\n\n") assert result.exit_code == 0 def test_create_transform_value(self, cli_runner, pipeline_id: str, transform_file: dict): input_ = { 'source name': 'test_kfk', 'pipeline id': pipeline_id, 'preview': 'n', 'count': 'n', 'static': 'y', 'value array': ' ', 'value properties': 'Clicks:gauge', 'measurement names': 'Clicks:clicks', 'timestamp': 'timestamp_unix', 'timestamp type': 'unix', 'required dimensions': ' ', 'optional dimensions': 'title subtitle', 'consumer group': '', 'additional props': ' ', 'tags': ' ', 'filter condition': ' ', 'transformation file': transform_file, } result = cli_runner.invoke(cli.pipeline.create, ["-a"], catch_exceptions=False, input='\n'.join(input_.values())) traceback.print_exception(*result.exc_info) assert result.exit_code == 0 # I guess it's testing di.init() for cli, cli_runner doesn't run click app, and subprocess runs it def test_create_subprocess(self): input_file_path = get_input_file_path('kafka_sources_2.json') try: subprocess.check_output(['agent', 'source', 'create', '-f', input_file_path], stderr=subprocess.STDOUT) except subprocess.CalledProcessError as exc: raise Exception(f'Status: FAIL\nexit code {exc.returncode}\n{exc.output}') with open(input_file_path) as f: sources = json.load(f) for source_ in sources: assert source.repository.exists(f"{source_['name']}")

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chap02/calc/calc_parser.py

lutzhamel/plipy-code

1

145195

<gh_stars>1-10 ''' Parser for our calc language explist : ({ NUM, PLUS, MINUS, LPAREN } exp)* exp : { NUM } NUM | { PLUS, MINUS } op exp exp | { LPAREN } LPAREN op exp exp ({ NUM, PLUS, MINUS, LPAREN } exp)* RPAREN op : { PLUS } PLUS | { MINUS } MINUS ''' def explist(stream): while stream.pointer().type in ['NUM', 'PLUS', 'MINUS', 'LPAREN']: exp(stream) return def exp(stream): token = stream.pointer() if token.type in ['NUM']: stream.match('NUM') return elif token.type in ['PLUS','MINUS']: op(stream) exp(stream) exp(stream) return elif token.type in ['LPAREN']: stream.match('LPAREN') op(stream) exp(stream) exp(stream) while stream.pointer().type in ['NUM', 'PLUS', 'MINUS', 'LPAREN']: exp(stream) stream.match('RPAREN') else: raise SyntaxError("syntax error at {}".format(token.type)) def op(stream): token = stream.pointer() if token.type in ['PLUS']: stream.match('PLUS') return elif token.type in ['MINUS']: stream.match('MINUS') return else: raise SyntaxError("syntax error at {}".format(token.type)) def parse(): from calc_lexer import Lexer from sys import stdin try: char_stream = stdin.read() # read from stdin token_stream = Lexer(char_stream) explist(token_stream) # call the parser function for start symbol if token_stream.end_of_file(): print("parse successful") else: raise SyntaxError("bad syntax at {}" .format(token_stream.pointer())) except Exception as e: print("error: " + str(e)) if __name__ == "__main__": parse()

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accounts/admin.py

Muson117/SharedAccountLibrary

0

188642

<reponame>Muson117/SharedAccountLibrary ''' models registered to Django admin interface ''' from django.contrib import admin # Register your models here. from .models import Employee, Account #admin.site.register(Employee) #admin.site.register(Account) @admin.register(Employee) class EmployeeAdmin(admin.ModelAdmin): ''' what to display in admin ''' list_display = ('employee_FirstName', 'employee_LastName') @admin.register(Account) class AccountAdmin(admin.ModelAdmin): ''' what to display in admin ''' list_display = ('account_name', 'status', 'account_taken_by', 'account_taken_at') list_filter = ['status', 'account_taken_at'] exclude = ('account_pass') ''' fieldsets = ( (None, { 'fields': ('account_name','account_pass') }), ('Availability', { 'fields': ('status', 'id') }), ) '''

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src/encoded/audit/dataset.py

Lattice-Data/encoded

0

34565

from snovault import ( AuditFailure, audit_checker, ) from .formatter import ( audit_link, path_to_text, ) def audit_contributor_institute(value, system): if value['status'] in ['deleted']: return need_inst = [] if 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if not user.get('institute_name'): need_inst.append(user.get('uuid')) if need_inst: detail = ('Dataset {} contains corresponding_contributors {} that do not have an institute_name.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_inst) ) ) yield AuditFailure('no contributor institute', detail, level='ERROR') need_inst = [] if 'contributors' in value: for user in value['contributors']: if not user.get('institute_name'): need_inst.append(user.get('uuid')) if need_inst: detail = ('Dataset {} contains contributors {} that do not have an institute_name.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_inst) ) ) yield AuditFailure('no contributor institute', detail, level='ERROR') return def audit_contributor_email(value, system): if value['status'] in ['deleted']: return need_email = [] if 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if not user.get('email'): need_email.append(user.get('uuid')) if need_email: detail = ('Dataset {} contains corresponding_contributors {} that do not have an email.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(need_email) ) ) yield AuditFailure('no corresponding email', detail, level='ERROR') return def audit_contributor_lists(value, system): if value['status'] in ['deleted']: return duplicates = [] if 'contributors' in value and 'corresponding_contributors' in value: for user in value['corresponding_contributors']: if user in value.get('contributors'): duplicates.append(user.get('uuid')) if duplicates: detail = ('Dataset {} contains duplicated contributors {}.'.format( audit_link(path_to_text(value['@id']), value['@id']), ', '.join(duplicates) ) ) yield AuditFailure('duplicated contributors', detail, level='ERROR') return def audit_dataset_no_raw_files(value, system): if value['status'] in ['deleted']: return raw_data = False if 'original_files' in value: for f in value['original_files']: if f['@type'][0] == 'RawSequenceFile' and f['no_file_available'] != True: raw_data = True if raw_data == False: detail = ('Dataset {} does not contain any raw sequence files.'.format( audit_link(path_to_text(value['@id']), value['@id']) ) ) yield AuditFailure('no raw data', detail, level='ERROR') return def audit_dataset_dcp_required_properties(value, system): if value['status'] in ['deleted']: return dcp_reqs = ['dataset_title', 'description', 'funding_organizations'] for req in dcp_reqs: if req not in value: detail = ('Dataset {} does not have {}, required by the DCP.'.format( audit_link(path_to_text(value['@id']), value['@id']), req ) ) yield AuditFailure('missing DCP-required field', detail, level='ERROR') dcp_optional = ['corresponding_contributors', 'contributors'] for opt in dcp_optional: if opt not in value: detail = ('Dataset {} does not have {}, strongly encouraged by the DCP.'.format( audit_link(path_to_text(value['@id']), value['@id']), opt ) ) yield AuditFailure('missing DCP-encouraged field', detail, level='ERROR') return def audit_experiment_released_with_unreleased_files(value, system): ''' A released experiment should not have unreleased files ''' if value['status'] != 'released': return if 'original_files' not in value: return for f in value['original_files']: if f['status'] not in ['released', 'deleted', 'revoked', 'replaced', 'archived']: detail = ('Released dataset {} contains file {} that has not been released.'.format( audit_link(path_to_text(value['@id']), value['@id']), audit_link(path_to_text(f['@id']), f['@id']) ) ) yield AuditFailure('mismatched file status', detail, level='INTERNAL_ACTION') return function_dispatcher_with_files = { 'audit_contributor_institute': audit_contributor_institute, 'audit_contributor_email': audit_contributor_email, 'audit_contributor_lists': audit_contributor_lists, 'audit_dataset_no_raw_files': audit_dataset_no_raw_files, 'audit_dataset_dcp_required_properties': audit_dataset_dcp_required_properties, 'audit_released_with_unreleased_files': audit_experiment_released_with_unreleased_files } @audit_checker('Dataset', frame=['original_files', 'corresponding_contributors', 'contributors']) def audit_experiment(value, system): for function_name in function_dispatcher_with_files.keys(): yield from function_dispatcher_with_files[function_name](value, system) return

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src/simmate/website/core_components/filters/symmetry.py

laurenmm/simmate-1

9

73930

<filename>src/simmate/website/core_components/filters/symmetry.py # -*- coding: utf-8 -*- from django_filters import rest_framework as filters from simmate.database.base_data_types import Spacegroup as SpacegroupTable class Spacegroup(filters.FilterSet): class Meta: model = SpacegroupTable fields = dict( number=["exact", "range"], symbol=["exact"], crystal_system=["exact"], point_group=["exact"], )

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happy_holding_server/db.py

gracewgao/happy-holding

1

122870

import os import sqlite3 from flask import current_app, g BASE_DIR = os.path.dirname(os.path.abspath(__file__)) DATABASE = os.path.join(BASE_DIR, "data/database.db") def get_db(): db = getattr(g, '_database', None) if db is None: db = g._database = sqlite3.connect(DATABASE) return db def close_connection(exception): db = getattr(g, '_database', None) if db is not None: db.close() def init_app(app): app.teardown_appcontext(close_connection)

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datasets/YelpDataset.py

aatifjiwani/yelp-rating-predictor

0

156098

import numpy as np from torch.utils.data import Dataset import jsonlines import json import random from tqdm import tqdm import pandas as pd try: from vocab_gen import * except ImportError: from datasets.vocab_gen import * class YelpDataset(Dataset): def __init__(self, jsonl_file:str, tokenizer=None, max_len:int = 50, is_from_partition=False, add_cls=False, should_stem=True, using_pandas=False, using_bpe=False): self.jsonl_file = jsonl_file self.eval_df = None self.reviews = [] self.tokenizer = tokenizer self.max_len = max_len self.should_stem = should_stem self.add_cls = add_cls if using_pandas: self.train_df = pd.read_json(jsonl_file, lines=True) self.train_df['label'] = self.train_df.iloc[:, 2] self.train_df['text'] = self.train_df['text'].apply(clean_sentence) self.train_df['label'] = self.train_df['label'].apply(lambda x: x-1) self.train_df = self.train_df.drop(self.train_df.columns[[0, 2]], axis=1) print(self.train_df) else: with jsonlines.open(self.jsonl_file) as reader: for obj in reader.iter(type=dict, skip_invalid=True): if is_from_partition: self.reviews.append({"input": obj["input"], "label": obj["label"]}) else: rating = obj["stars"] review = obj["text"] self.reviews.append({"input": review, "label": rating}) print("dataset loaded...") def __len__(self): return len(self.reviews) def __getitem__(self, idx): assert self.tokenizer is not None, "tokenizer must be passed in during instantiation" sample = self.reviews[idx] review, stars = sample["input"], int(sample["label"]) review = self.tokenizer.tokenize2Index(review, self.should_stem)[:self.max_len] if (len(review) < self.max_len): review += [PAD_TOKEN]*(self.max_len-len(review)) if self.add_cls: review = [len(self.tokenizer.word2Index)] + [x + 1 for x in review] #SET CLS TOKEN TO 0 AND PUSH EVERYTHING DOWN BY 1 return {"input": np.array(review), "label": np.array(stars - 1)} def getFromText(review, tokenizer, max_len=1000, should_stem=True): review = tokenizer.tokenize2Index(review, should_stem)[:max_len] if (len(review) < max_len): review += [PAD_TOKEN]*(max_len-len(review)) return np.array(review) def split_dataset(self, training_partition: float, training_file: str, validation_file: str): assert training_partition > 0 and training_partition < 1, "Training partition must be a float between 0 and 1 non-exclusive" num_train_examples = int(training_partition * len(self.reviews)) random.shuffle(self.reviews) training_partition = self.reviews[:num_train_examples] val_partition = self.reviews[num_train_examples:] with open(training_file, "w+") as train_f: for rev in tqdm(training_partition): json.dump(rev, train_f) train_f.write("\n") with open(validation_file, "w+") as val_f: for rev in tqdm(val_partition): json.dump(rev, val_f) val_f.write("\n") def make_datasets(self, tokenizer, max_length, x_path, y_path): x_train, y_train, x_val, y_val = [],[],[],[] num_reviews = len(self.reviews) for i in range(num_reviews): rating_vector = [0,0,0,0,0] rating_vector[int(self.reviews[i]["label"])-1] = 1 sequenced_review = tokenizer.tokenize2Index(self.reviews[i]["input"]) if len(sequenced_review) > max_length: sequenced_review = sequenced_review[:max_length] elif len(sequenced_review) < max_length: sequenced_review += [PAD_TOKEN]*(max_length-len(sequenced_review)) sequenced_review = [int(x) for x in sequenced_review] x_train.append(sequenced_review) y_train.append(rating_vector) np.savetxt(x_path, x_train, fmt ='%4d') np.savetxt(y_path, y_train, fmt='%4d') return np.asarray(x_train), np.asarray(y_train) def make_eval_pandas(self, num): file = "../datasets/yelp_challenge_" + str(num) + "_with_answers.jsonl" self.eval_df = pd.read_json(file, lines=True) self.eval_df['label'] = self.eval_df.iloc[:, 2] self.eval_df['text'] = self.eval_df['text'].apply(clean_sentence) self.eval_df['label'] = self.eval_df['label'].apply(lambda x: x - 1) self.eval_df = self.eval_df.drop(self.eval_df.columns[[0, 2]], axis=1) print(self.eval_df) if __name__ == "__main__": training_yelp = YelpDataset("yelp_review_training_dataset.jsonl", tokenizer=None, max_len=1000, is_from_partition=False, add_cls=False) # with open("cleaned_reviews.txt", "w+") as f: len_words = 0 count = 0 for rev in tqdm(training_yelp.reviews): cleaned_review = clean_sentence(rev["input"].lower()).split() len_words += len(cleaned_review) count += 1 print(len_words / count)

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Facraft.py

lyk91471872/Facraft

1

130667

import pygame, random, math, sys, sqlite3 # Classes class Bullet(): def __init__(self, type='a', dmg=1, dx=0): self.image = pygame.image.load(type+'.png').convert_alpha() self.dmg = dmg self.dx = dx self.existence = True self.rect = self.image.get_rect() self.rect.x = 0 self.rect.y = 1000 self.mask = pygame.mask.from_surface(self.image) def move(self): if self.rect.x==0 and self.rect.y==1000: x, y = pygame.mouse.get_pos() self.rect.x = x-self.image.get_width()/2 self.rect.y = y+40-self.image.get_height()/2 else: self.rect.x -= self.dx self.rect.y -= 20 class Enemy: def __init__(self, type='byg', hp=2, dx='rd', dy=3, x=-1, y=-100, score=1): self.image = pygame.image.load(type+'.png').convert_alpha() self.hp = hp self.score = score if dx=='rd': self.dx = (random.random() - 0.5) * 7 else: self.dx = dx self.dy = dy self.rect = self.image.get_rect() if x==-1: self.rect.x = random.random() * 1350 else: self.rect.x = x self.rect.y = y self.existence = True self.mask = pygame.mask.from_surface(self.image) def move(self): self.rect.x += self.dx self.rect.y += self.dy class Player_targeting_enemy(Enemy): def move(self): x, y = pygame.mouse.get_pos() dx = x - self.rect.x if dx>4: dx = 4 if dx<-4: dx = -4 self.dx = dx dy = y - self.rect.y if dy>8: dy = 8 if dy<-8: dy = -8 self.dy = dy self.rect.x += self.dx self.rect.y += self.dy class Player_targeting_bullet(Enemy): def move(self): x, y = pygame.mouse.get_pos() dx = x - self.rect.x if dx>10: dx = 10 if dx<-10: dx = -10 self.dx = dx self.rect.x += self.dx self.rect.y += self.dy class Boss(Enemy): def move(self): if self.timer<0: if self.timer<-3: self.rect.y += 20 elif self.timer==-3: self.rect.y += 15 elif self.timer==-2: self.rect.y += 10 elif self.timer==-1: self.rect.y += 5 self.timer += 1 else: self.rect.x = math.sin(self.timer) * 500 + 600 self.rect.y = math.sin(2 * self.timer) * 100 + 170 self.timer += 0.05 # Preparation player = input('Enter player name: ') if player=='': player = 'Anonym' fps = input('Enter fps: ') if fps=='': fps = 30 else: fps = int(fps) # create a new pygame window pygame.init() screen = pygame.display.set_mode((1280, 800), 0, 0) pygame.display.set_caption('Facraft') # load images background = pygame.image.load('bg.png').convert() dlg_drinking_image = pygame.image.load('dlg_drinking.png').convert_alpha() dlg_image = pygame.image.load('dlg.png').convert_alpha() # initialize variables to manage states bullet_timer = 0 enemy_timer = 0 bullets = [] enemies = [] boss = False game_over = False victory = False paused = False ccps_counter = 0 special_attack = False bullet_type = 'a' bullet_dmg = 1 bullet_pattern = 1 score = 0 # determine fps clock = pygame.time.Clock() # set player fa = pygame.sprite.Sprite() fa.image = pygame.image.load('fa.png').convert_alpha() fa.shoot_image = pygame.image.load('fa_shoot.png').convert_alpha() fa.rect = fa.image.get_rect() # main loop while True: clock.tick(fps) # determine whether to restart/quit for event in pygame.event.get(): if event.type==pygame.QUIT: pygame.quit() sys.exit() elif (game_over or victory) and event.type==pygame.MOUSEBUTTONUP: game_over = False victory = False enemies = [] bullets = [] ccps_counter = 0 special_attack = False if boss: del dlg boss = False score = 0 bullet_type = 'a' bullet_dmg = 1 bullet_pattern = 1 elif not(game_over or victory) and event.type==pygame.KEYDOWN: if event.key==pygame.K_ESCAPE: paused = not(paused) elif event.key==pygame.K_EQUALS: bullet_type = 'b' bullet_pattern = 2 bullet_dmg = 2 score = 90 # level up if score>=20 and score<25: bullet_pattern = 2 if score>=85 and score<90: bullet_type = 'b' bullet_dmg = 2 if paused: continue screen.blit(background, (0,0)) # show score score_font = pygame.font.Font('Arial.ttf', 32) score_label = score_font.render('score: '+str(score), True, (255, 255, 255)) screen.blit(score_label, (20, 20)) if game_over: game_over_label = pygame.image.load('game_over.png').convert_alpha() screen.blit(game_over_label, (260, 307)) pygame.display.update() continue if boss==True and dlg.hp<=0: if not(victory): conn = sqlite3.connect('records.db') cursor = conn.cursor() cursor.execute('create table if not exists records(player text, fps int, score int)') cursor.execute('insert into records(player, fps, score) values(\'' + player + '\', ' + str(fps) + ', ' + str(score) +')') conn.commit() conn.close() victory = True bullets = [] enemies = [] victory_font = pygame.font.Font('Arial.ttf', 200) victory_label = victory_font.render('Victory!', True, (0, 0, 0)) screen.blit(victory_label, (260, 307)) pygame.display.update() continue # update player position x, y = pygame.mouse.get_pos() fa.rect.x = x - 50 fa.rect.y = y - 66 if bullet_timer>=6 or bullet_timer==0: screen.blit(fa.shoot_image, (fa.rect.x, fa.rect.y)) else: screen.blit(fa.image, (fa.rect.x, fa.rect.y)) # shoot bullets bullet_timer += 1 if bullet_timer==8: bullet_timer = 0 if bullet_pattern==1: bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg)) if bullet_pattern==2: bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=10)) bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=0)) bullets.append(Bullet(type=bullet_type, dmg=bullet_dmg, dx=-10)) # summon boss if score>=100 and score<200: if boss==False and enemies==[]: boss = True dlg = Boss(type='dlg', hp=1000, dx=0, dy=0, x=600, score=100) dlg.timer = -15 enemies.append(dlg) enemy_timer = 0 # summon enemies enemy_timer += 1 if enemy_timer==20: enemy_timer = 0 if score<35: enemies.append(Enemy()) enemies.append(Enemy()) if score>=35 and score<100: enemies.append(Enemy()) enemies.append(Enemy(dy=10)) enemies.append(Player_targeting_enemy(score=2)) enemies.append(Player_targeting_enemy(score=2)) if score>=100 and score<200 and type(enemies[0])==Boss: if special_attack==False: enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=15, x=dlg.rect.x, y=dlg.rect.y, score=0)) else: special_attack = False dlg.image = dlg_image enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=5, x=dlg.rect.x, y=dlg.rect.y, score=0)) enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=10, x=dlg.rect.x, y=dlg.rect.y, score=0)) enemies.append(Player_targeting_bullet(type='knife', hp=1, dx=0, dy=15, x=dlg.rect.x, y=dlg.rect.y, score=0)) # update bullets' positions i = len(bullets) - 1 while i>=0: bullets[i].move() if bullets[i].rect.y<-100 or bullets[i].rect.x<-100 or bullets[i].rect.x>1540: del bullets[i] else: screen.blit(bullets[i].image, (bullets[i].rect.x, bullets[i].rect.y)) i -= 1 # update enemies' positions i = len(enemies) - 1 while i>=0: if type(enemies[i])==Boss: if ccps_counter==20: ccps_counter = 0 dlg.image = dlg_drinking_image special_attack = True score += 10 dlg.hp -= 100 enemies[i].move() if enemies[i].rect.y>900 or enemies[i].rect.x<-100 or enemies[i].rect.x>1540: del enemies[i] else: screen.blit(enemies[i].image, (enemies[i].rect.x, enemies[i].rect.y)) i -= 1 # detect collisions i = len(enemies) - 1 while i>=0: if pygame.sprite.collide_mask(enemies[i], fa)!=None: game_over = True bullets = [] enemies = [] conn = sqlite3.connect('records.db') cursor = conn.cursor() cursor.execute('create table if not exists records(player text, fps int, score int)') cursor.execute('insert into records(player, fps, score) values(\'' + player + '\', ' + str(fps) + ', ' + str(score) +')') conn.commit() conn.close() break if type(enemies[i])==Player_targeting_bullet: i -= 1 continue j = len(bullets) - 1 while j>=0: if pygame.sprite.collide_mask(enemies[i], bullets[j])!=None: enemies[i].hp -= bullets[j].dmg if type(enemies[i])==Boss: ccps_counter += bullets[j].dmg del bullets[j] if enemies[i].hp<=0: score += enemies[i].score del enemies[i] break j -= 1 i -= 1 pygame.display.update()

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sshsysmon/drivers/ssh.py

zix99/sshsysmon

46

51918

from lib.plugins import Driver import os from paramiko import SSHClient, RSAKey, AutoAddPolicy from io import StringIO class Ssh(Driver): DEFAULT_KEY_PATH = "~/.ssh/id_rsa" def __init__(self, host, username='root', password = None, key = None, port = 22, path = "/proc"): Driver.__init__(self) self._host = host self._username = username self._password = password self._port = port self._path = path self._client = None self._ftp = None if not password or key: self._key = RSAKey.from_private_key_file(os.path.expanduser(key or Ssh.DEFAULT_KEY_PATH)) else: self._key = None def readProc(self, path): sftp = self._connectFtp() o = StringIO() for line in sftp.open(os.path.join(self._path, path)): o.write(line) return o.getvalue() def sh(self, cmd): client = self._connect() stdin, stdout, stderr = client.exec_command(cmd) return { "stdout": stdout.read().decode('utf-8'), "stderr": stderr.read().decode('utf-8'), "status": stdout.channel.recv_exit_status() } def _connect(self): if not self._client: client = SSHClient() client.set_missing_host_key_policy(AutoAddPolicy()) client.connect(hostname = self._host, username=self._username, password=self._password, pkey=self._key, port=self._port, look_for_keys=False) self._client = client return self._client def _connectFtp(self): if not self._ftp: client = self._connect() self._ftp = client.open_sftp() return self._ftp def getHost(self): return self._host def create(args): return Ssh(**args)

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utils/The_Alchemist_Code/conceptcard.py

heboric/ouro

3

25260

<reponame>heboric/ouro from ._main import DIRS,LinkDB,ConvertFields,StrBuff,StrCondition,Embed, Rarity,GitLabLink import copy def Conceptcard(iname, page): #get card dir card=DIRS['Conceptcard'][iname] #create basic embed embed= Embed( title='', #page name url=LinkDB('card',iname,'',True,'jp') #page link ) embed.set_author(name=card['name'],url=embed.url)#, url=LinkDB('card',iname)) embed.set_thumbnail(url=GitLabLink('/ConceptCardIcon/%s.png'%iname))#'http://cdn.alchemistcodedb.com/images/cards/icons/{}.png'.format(iname)) embed.set_image(url=GitLabLink('/ConceptCard/%s.png'%iname))#'http://cdn.alchemistcodedb.com/images/cards/artworks/{}.png'.format(iname)) while page: if page=='main': embed.ConvertFields(main(card)) embed.title='main' break break return embed def main(card): try: unit=DIRS['Unit']['UN_V2_'+card['iname'].rsplit('_',2)[1]]['name'] except: unit='None' fields = [ {'name': 'Unit', 'value': unit, 'inline':True}, {'name': 'Rarity', 'value': Rarity(card['rare'],4), 'inline':True}, {'name': 'Enhance Cost', 'value': str(card['en_cost']), 'inline':True}, {'name': 'Enhance EXP', 'value': str(card['en_exp']), 'inline':True}, ] #Weapon Type ~ Tag if 'trust_reward' in card: fields.append({'name': 'Trust Reward(s)', 'value': '```\t%s```'%'\n\t'.join( [ '%s%s (%s)'%('%sx'%reward['reward_num'] if reward['reward_num']>1 else '', DIRS[reward['reward_type']][reward['iname']]['name'],reward['reward_type'].replace('Artifact','Gear')) for reward in DIRS['Conceptcardtrustreward'][card['trust_reward']]['rewards'] ] ), 'inline': False}) #effects for i,effect in enumerate(card['effects']): value=[] #cnds_iname if 'cnds_iname' in effect: value.append( '__**Condition(s):**__\n'+CardConditions(effect['cnds_iname']) ) #abil_iname if 'abil_iname' in effect: value.append('__**Vision Ability:**__\n'+ DIRS['Ability'][effect['abil_iname']]['name'] ) #skin if 'skin' in effect: value.append('__**Skin:**__\n'+DIRS['Artifact'][effect['skin']]['name']) #statusup_skill ~ from equipping if 'statusup_skill' in effect: value.append('__**Stats:**__\n'+ StrBuff(DIRS['Skill'][effect['statusup_skill']]['target_buff_iname'],2,2) ) ##### # LV 30: stats (x per level) # Limit Break: x per level # Max Limit Break: total stats (lv 40, all limit breaks, + mlb bonus) #card_skill buffs=[] if 'card_skill' in effect: buffs.append(DIRS['Skill'][effect['card_skill']]['target_buff_iname']) value.append( '__**LV 30 Stats:**__ %s'%( StrBuff(DIRS['Skill'][effect['card_skill']]['target_buff_iname'],30,40) ) ) #add_card_skill_buff_awake if 'add_card_skill_buff_awake' in effect: buffs.append(effect['add_card_skill_buff_awake']) value.append('__**Limit Break Stats:**__\n1:%s\n5:%s'%(StrBuff(effect['add_card_skill_buff_awake'],1,5),StrBuff(effect['add_card_skill_buff_awake'],5,5)) ) #add_card_skill_buff_lvmax if 'add_card_skill_buff_lvmax' in effect: buffs.append(effect['add_card_skill_buff_lvmax']) value.append('__**MLB Bonus Stats:**__\n'+ StrBuff(effect['add_card_skill_buff_lvmax'],2,2) ) #total stats if buffs: value.append('__**Max Stats:**__\n'+ StrBuff(add_buffs(buffs),2,2) ) for buff in buffs: buff=DIRS['Buff'][buff] if 'un_group' in buff: value.append('__**Boosted Units:**__\n%s'%(', '.join([ DIRS['Unit'][unit]['name'] for unit in DIRS['Unitgroup'][buff['un_group']]['units'] ]))) break #elif costum target fields.append({'name': 'Effect '+str(i+1), 'value': '\n'.join(value), 'inline':False}) #lore fields.append({'name': 'Description', 'value': card['expr'], 'inline': False}) return fields def CardConditions(iname): conds=DIRS['Conceptcardconditions'][iname] ret=[] #unit group if 'unit_group' in conds: ret.append('Units: '+', '.join([ DIRS['Unit'][uiname]['name'] for uiname in DIRS['Unitgroup'][conds['unit_group']]['units'] ])) #job group if 'job_group' in conds: ret.append('Jobs: '+', '.join([ DIRS['Job'][jiname]['name'] for jiname in DIRS['Jobgroup'][conds['job_group']]['jobs'] ])) #element if 'conditions_elements' in conds: ret.append('Element: '+', '.join(conds['conditions_elements'])) #birth if 'birth' in conds: ret.append('Birth: '+', '.join(conds['birth'])) return '\n'.join(ret) def add_buffs(buffs): #check type buffs=[ copy.deepcopy(DIRS['Buff'][buff]) if type(buff)==str else copy.deepcopy(buff) for buff in buffs ] #add effects up types={'Scale':{},'Add':{},'Fixed':{}} for buff in buffs: for stat in buff['buffs']: typ=types[stat['calc']] if stat['type'] not in typ: typ[stat['type']]=stat else: typ[stat['type']]['value_ini']+=stat['value_ini'] typ[stat['type']]['value_max']+=stat['value_max'] typ[stat['type']]['value_one']+=stat['value_one'] #revert back return ({'buffs':[ buff for typ,items in types.items() for key,buff in items.items() ]})

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botenv/lib/python3.9/site-packages/apscheduler/schedulers/twisted.py

0xtuytuy/unit-crypto-ski-week-poap-bot

3

130636

<gh_stars>1-10 from __future__ import absolute_import from functools import wraps from apscheduler.schedulers.base import BaseScheduler from apscheduler.util import maybe_ref try: from twisted.internet import reactor as default_reactor except ImportError: # pragma: nocover raise ImportError('TwistedScheduler requires Twisted installed') def run_in_reactor(func): @wraps(func) def wrapper(self, *args, **kwargs): self._reactor.callFromThread(func, self, *args, **kwargs) return wrapper class TwistedScheduler(BaseScheduler): """ A scheduler that runs on a Twisted reactor. Extra options: =========== ======================================================== ``reactor`` Reactor instance to use (defaults to the global reactor) =========== ======================================================== """ _reactor = None _delayedcall = None def _configure(self, config): self._reactor = maybe_ref(config.pop('reactor', default_reactor)) super(TwistedScheduler, self)._configure(config) @run_in_reactor def shutdown(self, wait=True): super(TwistedScheduler, self).shutdown(wait) self._stop_timer() def _start_timer(self, wait_seconds): self._stop_timer() if wait_seconds is not None: self._delayedcall = self._reactor.callLater(wait_seconds, self.wakeup) def _stop_timer(self): if self._delayedcall and self._delayedcall.active(): self._delayedcall.cancel() del self._delayedcall @run_in_reactor def wakeup(self): self._stop_timer() wait_seconds = self._process_jobs() self._start_timer(wait_seconds) def _create_default_executor(self): from apscheduler.executors.twisted import TwistedExecutor return TwistedExecutor()

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artifacts/migrations/0010_auto_20201201_1208.py

Joe-Bentley/team_totem

0

146946

<reponame>Joe-Bentley/team_totem # Generated by Django 3.1.3 on 2020-12-01 12:08 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('artifacts', '0009_auto_20201201_1205'), ] operations = [ migrations.AlterField( model_name='artifact', name='image', field=models.ImageField(default='uploads/qmark.png', upload_to=''), ), ]

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pytype/__version__.py

souravbadami/pytype

1

63513

<filename>pytype/__version__.py # pylint: skip-file __version__ = '2020.04.01'

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ci/render_pipelines.py

vpnachev/gardenlinux

0

160323

<reponame>vpnachev/gardenlinux #!/usr/bin/env python3 import dacite import dataclasses import itertools import typing import yaml import glci.model import tkn.model GardenlinuxFlavour = glci.model.GardenlinuxFlavour Pipeline = tkn.model.Pipeline PipelineSpec = tkn.model.PipelineSpec PipelineMetadata = tkn.model.PipelineMetadata TaskRef = tkn.model.TaskRef PipelineTask = tkn.model.PipelineTask NamedParam = tkn.model.NamedParam def mk_pipeline_task( gardenlinux_flavour: GardenlinuxFlavour, pipeline_flavour: glci.model.PipelineFlavour, ): if not pipeline_flavour is glci.model.PipelineFlavour.SNAPSHOT: raise NotImplementedError(pipeline_flavour) feature_names = ','.join( e.value for e in ( gardenlinux_flavour.platform, *gardenlinux_flavour.extensions, *gardenlinux_flavour.modifiers, ) ) upload_prefix = f'snapshot/{gardenlinux_flavour.architecture.value}/' return PipelineTask( name=gardenlinux_flavour.canonical_name_prefix().replace('/', '-').replace('_', '-'), taskRef=TaskRef(name='build-gardenlinux-task'), # hardcode name for now params=[ NamedParam(name='features', value=feature_names), NamedParam(name='uploadprefix', value=upload_prefix), ], ) def mk_pipeline( gardenlinux_flavours: typing.Sequence[GardenlinuxFlavour] pipeline_flavour: glci.model.PipelineFlavour=glci.model.PipelineFlavour.SNAPSHOT, ): gardenlinux_flavours = set(gardenlinux_flavours) # mk unique pipeline = Pipeline( metadata=PipelineMetadata( name='build-gardenlinux-snapshot-pipeline', namespace='gardenlinux-tkn', ), spec=PipelineSpec( tasks=[ mk_pipeline_task( gardenlinux_flavour=glf, pipeline_flavour=pipeline_flavour, ), for glf in gardenlinux_flavours ], ), ) return pipeline def render_pipeline_dict( gardenlinux_flavours: typing.Sequence[GardenlinuxFlavour], ): gardenlinux_flavours = set(gardenlinux_flavours) # mk unique pipeline:dict = mk_pipeline(gardenlinux_flavours=gardenlinux_flavours) return pipeline def enumerate_build_flavours(build_yaml: str='../build.yaml'): with open(build_yaml) as f: parsed = yaml.safe_load(f) GardenlinuxFlavour = glci.model.GardenlinuxFlavour GardenlinuxFlavourCombination = glci.model.GardenlinuxFlavourCombination Architecture = glci.model.Architecture Platform = glci.model.Platform Extension = glci.model.Extension Modifier = glci.model.Modifier flavour_combinations = [ dacite.from_dict( data_class=GardenlinuxFlavourCombination, data=flavour_def, config=dacite.Config( cast=[Architecture, Platform, Extension, Modifier, typing.Tuple], ) ) for flavour_def in parsed['flavours'] ] for comb in flavour_combinations: for arch, platf, exts, mods in itertools.product( comb.architectures, comb.platforms, comb.extensions, comb.modifiers, ): yield GardenlinuxFlavour( architecture=arch, platform=platf, extensions=exts, modifiers=mods, # fails=comb.fails, # not part of variant ) def main(): gardenlinux_flavours = list(enumerate_build_flavours()) outfile = 'pipeline.yaml' pipeline:dict = render_pipeline_dict( gardenlinux_flavours=gardenlinux_flavours, ) with open(outfile, 'w') as f: yaml.safe_dump(dataclasses.asdict(pipeline), f) print(f'dumped pipeline with {len(gardenlinux_flavours)} task(s) to {outfile}') if __name__ == '__main__': main()

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Latest/venv/Lib/site-packages/apptools/io/h5/utils.py

adamcvj/SatelliteTracker

1

20740

from contextlib import contextmanager from .file import H5File @contextmanager def open_h5file(filename, mode='r+', **kwargs): """Context manager for reading an HDF5 file as an H5File object. Parameters ---------- filename : str HDF5 file name. mode : str Mode to open the file: 'r' : Read-only 'w' : Write; create new file (an existing file would be deleted). 'a' : Read and write to file; create if not existing 'r+': Read and write to file; must already exist See `H5File` for additional keyword arguments. """ h5 = H5File(filename, mode=mode, **kwargs) try: yield h5 finally: h5.close()

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interpreter/interpreter.py

JASchilz/RoverMUD

4

61585

<reponame>JASchilz/RoverMUD #------------------------------------------------------------------------------ # interpreter/interpreter.py # Copyright 2011 <NAME> # Licensed under Apache v2 #------------------------------------------------------------------------------ articles = [" a ", " the "] def verb(command): # A function to isolate the verb in a command. this_verb = "" the_rest = "" first_space = command.find(" ") # If this_input contains a space, the verb is everything before the # first space. if first_space > 0: this_verb = command[0:first_space] the_rest = command[first_space + 1:len(command)] # If it doesn't contain a space, the whole thing is the verb. else: this_verb = command # We handle simple verb aliases at this level... if command[0] == "'": this_verb = "say" the_rest = command[1:len(command)] if command == "north" or command == "n": this_verb = "go" the_rest = "north" elif command == "south" or command == "s": this_verb = "go" the_rest = "south" elif command == "east" or command == "e": this_verb = "go" the_rest = "east" elif command == "west" or command == "w": this_verb = "go" the_rest = "west" elif command == "up" or command == "u": this_verb = "go" the_rest = "up" elif command == "down" or command == "d": this_verb = "go" the_rest = "down" if this_verb == "l": this_verb = "look" elif this_verb == "i": this_verb = "inv" elif this_verb == "h": this_verb = "health" return this_verb, the_rest def interpret(the_verb, the_rest, transitivity=1): the_rest = " " + the_rest.lower() + " " for article in articles: the_rest = the_rest.replace(article, '') if transitivity == 1: the_rest = the_rest.strip().split() if len(the_rest) > 0: # This might not be stable. return [the_rest.pop(), the_rest] else: return False

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imperative/python/test/unit/core/test_interpreter.py

chenls/MegEngine

3

66879

<filename>imperative/python/test/unit/core/test_interpreter.py import subprocess import sys import numpy as np import pytest import megengine as mge import megengine.functional as F from megengine.core._imperative_rt.core2 import ( _set_drop_flag, _set_swap_flag, config_async_level, get_async_level, ) def test_basic(): config_async_level(2) assert get_async_level() == 2 with pytest.raises(RuntimeError): config_async_level(3) def test_level1_infer_value(): config_async_level(1) a = mge.tensor([[1, 2], [2, 3], [3, 4]], dtype="float32") b = mge.tensor([1, 1], dtype="float32") identity = mge.tensor(np.array([[1, 0], [0, 1]]), dtype="float32") # make DepType::VALUE unknown c = F.matmul(b, identity) with pytest.raises(RuntimeError): d = F.reshape(a, c) config_async_level(2) def test_level1_infer_shape_with_unknown(): config_async_level(2) a = mge.tensor([[1, 2, 2, 3]], dtype="float32") b = mge.tensor([1, 1], dtype="float32") multi2 = mge.tensor(np.array([[2, 0], [0, 2]]), dtype="float32") c = F.matmul(b, multi2) # make DepType::SHAPE unknown d = F.reshape(a, c) e = mge.tensor([[1, 2]], dtype="float32") config_async_level(1) # test src no shape, throw in level1 with pytest.raises(RuntimeError): f = F.reshape(d, b) with pytest.raises(RuntimeError): g = F.matmul(d, e) config_async_level(2) def test_host_compute_elemwise(): a = mge.tensor([[1, 2], [2, 3], [3, 4]], dtype="float32") b = mge.tensor([1, 1], dtype="int32") # check DepType::VALUE is still known c = b * 2 with pytest.raises(RuntimeError): d = F.reshape(a, c) def test_swap_drop_basic(): _set_swap_flag(True) _set_drop_flag(True) # test xpu compute x = mge.tensor(np.ones((3, 3)), dtype=np.float32) y = mge.tensor(np.ones((3, 3)), dtype=np.float32) z = x + y x._swap_out() z._drop() z.numpy() # test host value compute x = mge.tensor(np.ones((2, 2)), dtype=np.float32) y = mge.tensor(np.ones((2, 2)), dtype=np.float32) z = x + y x._swap_out() z._drop() z.numpy() _set_swap_flag(False) _set_drop_flag(False) def test_finalize(): prog = """ import megengine with megengine.core.option("enable_host_compute", 0): x = megengine.tensor(0) y = x + 1 y.numpy() """ subprocess.check_call([sys.executable, "-c", prog])

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29892, 11663, 29883, 613, 410, 29887, 2314, 13, 2 ]

pcbdl/netlistsvg.py

maxschommer/pcbdl

117

1612064

# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from .base import Part, PartInstancePin, Net from .context import * import pcbdl.small_parts as small_parts import collections import json import os import re import subprocess import tempfile """Renders our circuit into svg with the help of netlistsvg.""" __all__ = ["generate_svg", "SVGPage"] NETLISTSVG_LOCATION = os.path.expanduser( os.environ.get("NETLISTSVG_LOCATION", "~/netlistsvg")) NET_REGEX_ALL = ".*" class SVGNet(object): def __init__(self, instance, schematic_page): self.instance = instance self.schematic_page = schematic_page current_node_number = -1 @classmethod def get_next_node_number(cls): cls.current_node_number += 1 return cls.current_node_number def categorize_groups(self): self.grouped_connections = [] for original_group in self.instance.grouped_connections: group = list(original_group) # make a copy so we can fragment it group_pin_count = sum(len(pin.part.pins) for pin in group) self.grouped_connections.append(group) if self.schematic_page.airwires < 2: continue #if group_pin_count < 40: #continue first_big_part = None for pin in original_group: if len(pin.part.pins) <= 3: # part is too small, probably should stay here continue if first_big_part is None: first_big_part = pin.part continue if pin.part is not first_big_part: # too many big parts here, move this one out #print("Too many big parts in %s group %r, moving %r out" % (self.instance.name, group, pin)) group.remove(pin) self.grouped_connections.append((pin,)) self.node_numbers = [self.get_next_node_number() for group in self.grouped_connections] def _find_group(self, pin): if not hasattr(self, "node_numbers"): self.categorize_groups() for i, group in enumerate(self.grouped_connections): if pin in group: return i, group raise ValueError("Can't find pin %s on %s" % (pin, self.instance)) def get_other_pins_in_group(self, pin): _, group = self._find_group(pin) return group def get_node_number(self, pin): group_idx, _ = self._find_group(pin) if self.schematic_page.airwires == 0: return self.node_numbers[0] return self.node_numbers[group_idx] class SVGPart(object): SKIN_MAPPING = { # pcbdl_class: (skin_alias_name, pin_names, is_symmetric, is_rotatable) # more specific comes first small_parts.R: ("r_", "AB", True, True), small_parts.C: ("c_", "AB", True, True), small_parts.L: ("l_", "AB", True, True), small_parts.LED: ("d_led_", "+-", False, True), small_parts.D: ("d_", "+-", False, True), } SKIN_MAPPING_INSTANCES = tuple(SKIN_MAPPING.keys()) def __init__(self, part, schematic_page): self.part = part self.schematic_page = schematic_page self.svg_type = part.refdes self.is_skinned = False self.skin_pin_names = () self.is_symmetric = False self.is_rotatable = False for possible_class, skin_properties in self.SKIN_MAPPING.items(): if isinstance(part, possible_class): self.is_skinned = True self.svg_type, self.skin_pin_names, self.is_symmetric, self.is_rotatable = skin_properties break def attach_net_name_port(self, net, net_node_number, direction): self.schematic_page.ports_dict["%s_node%s" % (net.name, str(net_node_number))] = { "bits": [net_node_number], "direction": direction } def attach_net_name(self, net, net_node_number, display=True): netname_entry = self.schematic_page.netnames_dict[net.name] if net_node_number not in netname_entry["bits"]: # avoid duplicates netname_entry["bits"].append(net_node_number) if display: netname_entry["hide_name"] = 0 def attach_power_symbol(self, net, net_node_number): name = net.name if len(name) > 10: name = name.replace("PP","") name = name.replace("_VREF","") power_symbol = { "connections": {"A": [net_node_number]}, "attributes": {"name": name}, "type": "gnd" if net.is_gnd else "vcc", } if name == "GND": # redundant del power_symbol["attributes"]["name"] cell_name = "power_symbol_%d" % (net_node_number) self.schematic_page.cells_dict[cell_name] = power_symbol def should_draw_pin(self, pin): if not pin._net: # if we don't have a pin name, do it conditionally based on if a regex is set return self.schematic_page.net_regex.pattern == NET_REGEX_ALL else: return self.schematic_page.net_regex.match(str(pin.net.name)) def add_parts(self, indent_depth=""): # Every real part might yield multiple smaller parts (eg: airwires, gnd/vcc connections) part = self.part self.schematic_page.parts_to_draw.remove(part) connections = {} port_directions = {} parts_to_bring_on_page = [] pin_count = len(part.pins) for i, pin in enumerate(part.pins): name = "%s (%s)" % (pin.name, ", ".join(pin.numbers)) if self.skin_pin_names: # if possible we need to match pin names with the skin file in netlistsvg name = self.skin_pin_names[i] DIRECTIONS = ["output", "input"] # aka right, left port_directions[name] = DIRECTIONS[i < pin_count/2] # TODO: Make this depend on pin type, instead of such a rough heuristic if "OUT" in pin.name: port_directions[name] = "output" if "IN" in pin.name: port_directions[name] = "input" if "EN" in pin.name: port_directions[name] = "input" is_connector = part.refdes.startswith("J") or part.refdes.startswith("CN") if is_connector: try: pin_number = int(pin.number) except ValueError: pass else: port_directions[name] = DIRECTIONS[pin_number % 2] pin_net = pin._net if pin_net: if hasattr(pin_net, "parent"): pin_net = pin_net.parent pin_net_helper = self.schematic_page.net_helpers[pin_net] net_node_number = pin_net_helper.get_node_number(pin) connections[name] = [net_node_number] for other_pin in pin_net_helper.get_other_pins_in_group(pin): other_part = other_pin.part parts_to_bring_on_page.append(other_part) else: # Make up a new disposable connection connections[name] = [SVGNet.get_next_node_number()] skip_drawing_pin = not self.should_draw_pin(pin) if self.is_skinned or part.refdes.startswith("Q"): # if any other pins good on a small part, we should draw the whole part (all pins) for other_pin in set(part.pins) - set((pin,)): if self.should_draw_pin(other_pin): skip_drawing_pin = False if pin in self.schematic_page.pins_to_skip: skip_drawing_pin = True if skip_drawing_pin: del connections[name] continue self.schematic_page.pins_drawn.append(pin) self.schematic_page.pin_count += 1 if pin_net: display_net_name = pin.net.has_name if pin.net.is_gnd or pin.net.is_power: self.attach_power_symbol(pin.net, net_node_number) display_net_name = False self.attach_net_name(pin.net, net_node_number, display=display_net_name) if not connections: return if self.is_rotatable: suffix = "h" swap_pins = False for i, pin in enumerate(part.pins): if pin.net.is_power: suffix = "v" if i != 0: swap_pins = True if pin.net.is_gnd: suffix = "v" if i != 1: swap_pins = True #TODO maybe keep it horizontal if both sides .is_power if swap_pins and self.is_symmetric: mapping = {"A": "B", "B": "A"} connections = {mapping[name]:v for name, v in connections.items()} if self.is_rotatable: self.svg_type += suffix self.schematic_page.cells_dict[self.part.refdes] = { "connections": connections, "port_directions": port_directions, "attributes": {"value": part.value}, "type": self.svg_type } print(indent_depth + str(part)) # Make sure the other related parts are squeezed on this page for other_part in parts_to_bring_on_page: if other_part not in self.schematic_page.parts_to_draw: # we already drew it earlier continue self.schematic_page.part_helpers[other_part].add_parts(indent_depth + " ") class SVGPage(object): """Represents single .svg page""" def __init__(self, net_regex=NET_REGEX_ALL, airwires=2, pins_to_skip=[], max_pin_count=None, context=global_context): self.net_regex = re.compile(net_regex) self.airwires = airwires self.context = context self.max_pin_count = max_pin_count self.pin_count = 0 self.pins_to_skip = pins_to_skip self.pins_drawn = [] self.cells_dict = {} self.netnames_dict = collections.defaultdict(lambda: {"bits": [], "hide_name": 1}) self.ports_dict = {} # start helper classes self.net_helpers = {} for net in self.context.net_list: self.net_helpers[net] = SVGNet(net, self) self.part_helpers = {} for part in self.context.parts_list: self.part_helpers[part] = SVGPart(part, self) class PageEmpty(Exception): pass def write_json(self, fp): """Generate the json input required for netlistsvg and dumps it to a file.""" self.parts_to_draw = collections.deque(self.context.parts_list) while self.parts_to_draw: if self.max_pin_count and self.pin_count > self.max_pin_count: # stop drawing, this page is too cluttered break part = self.parts_to_draw[0] self.part_helpers[part].add_parts() if not self.pins_drawn: raise self.PageEmpty big_dict = {"modules": {"SVG Output": { "cells": self.cells_dict, "netnames": self.netnames_dict, "ports": self.ports_dict, }}} json.dump(big_dict, fp, indent=4) fp.flush() def generate(self): """Calls netlistsvg to generate the page and returns the svg contents as a string.""" with tempfile.NamedTemporaryFile("w", prefix="netlistsvg_input_", suffix=".json", delete=False) as json_file, \ tempfile.NamedTemporaryFile("r", prefix="netlistsvg_output_", suffix=".svg", delete=False) as netlistsvg_output: self.write_json(json_file) netlistsvg_command = [ "/usr/bin/env", "node", os.path.join(NETLISTSVG_LOCATION, "bin", "netlistsvg.js"), "--skin", os.path.join(NETLISTSVG_LOCATION, "lib", "analog.svg"), json_file.name, "-o", netlistsvg_output.name ] print(netlistsvg_command) subprocess.call(netlistsvg_command) svg_contents = netlistsvg_output.read() # When a net appears in a few places (when we have airwires), we need to disambiguage the parts of the net # so netlistsvg doesn't think they're actually the same net and should connect them together. # Remove the extra decoration: svg_contents = re.sub("_node\d+", "", svg_contents) return svg_contents def generate_svg(*args, **kwargs): pins_to_skip = [] while True: n = SVGPage(*args, **kwargs, pins_to_skip=pins_to_skip) try: svg_contents = n.generate() except SVGPage.PageEmpty: break pins_to_skip += n.pins_drawn yield svg_contents

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urls.py

markbate/whiskerboard

20

29760

from django.conf.urls.defaults import patterns, include, url from django.contrib import admin from board.feeds import EventFeed from board.views import IndexView, ServiceView admin.autodiscover() urlpatterns = patterns('', url(r'^$', IndexView.as_view(), name='index'), url(r'^services/(?P<slug>[-\w]+)$', ServiceView.as_view(), name='service'), url(r'^feed$', EventFeed(), name='feed'), url(r'^admin/', include(admin.site.urls)), )

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sdk/attestation/azure-security-attestation/azure/security/attestation/_administration_client.py

lynshi/azure-sdk-for-python

0

171400

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # -------------------------------------------------------------------------- from typing import List, Any, Optional, TYPE_CHECKING from azure.core import PipelineClient from msrest import Deserializer, Serializer from six import python_2_unicode_compatible if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any from azure.core.credentials import TokenCredential from azure.core.pipeline.transport import HttpRequest, HttpResponse from ._generated import AzureAttestationRestClient from ._generated.models import AttestationType, PolicyResult, PolicyCertificatesResult, JSONWebKey, AttestationCertificateManagementBody, PolicyCertificatesModificationResult as GeneratedPolicyCertificatesModificationResult from ._configuration import AttestationClientConfiguration from ._models import AttestationSigner, AttestationToken, AttestationResponse, StoredAttestationPolicy, AttestationSigningKey, PolicyCertificatesModificationResult from ._common import Base64Url import cryptography import cryptography.x509 import base64 from azure.core.tracing.decorator import distributed_trace from threading import Lock, Thread class AttestationAdministrationClient(object): """Provides administrative APIs for managing an instance of the Attestation Service. :param str instance_url: base url of the service :param credential: Credentials for the caller used to interact with the service. :type credential: azure.core.credentials.TokenCredential :keyword Pipeline pipeline: If omitted, the standard pipeline is used. :keyword HttpTransport transport: If omitted, the standard pipeline is used. :keyword list[HTTPPolicy] policies: If omitted, the standard pipeline is used. """ def __init__( self, credential, # type: "TokenCredential" instance_url, # type: str **kwargs # type: Any ): # type: (...) -> None if not credential: raise ValueError("Missing credential.") self._config = AttestationClientConfiguration(credential, instance_url, **kwargs) self._client = AzureAttestationRestClient(credential, instance_url, **kwargs) self._statelock = Lock() self._signing_certificates = None @distributed_trace def get_policy(self, attestation_type, **kwargs): #type(AttestationType, **Any) -> AttestationResult[str]: """ Retrieves the attestation policy for a specified attestation type. :param azure.security.attestation.AttestationType attestation_type: :class:`azure.security.attestation.AttestationType` for which to retrieve the policy. :return AttestationResponse[str]: Attestation service response encapsulating a string attestation policy. """ policyResult = self._client.policy.get(attestation_type, **kwargs) token = AttestationToken[PolicyResult](token=policyResult.token, body_type=PolicyResult) token_body = token.get_body() stored_policy = AttestationToken[StoredAttestationPolicy](token=token_body.policy, body_type=StoredAttestationPolicy) actual_policy = stored_policy.get_body().attestation_policy #type: bytes if self._config.token_validation_options.validate_token: token.validate_token(self._config.token_validation_options, self._get_signers(**kwargs)) return AttestationResponse[str](token, actual_policy.decode('utf-8')) @distributed_trace def set_policy(self, attestation_type, attestation_policy, signing_key=None, **kwargs): #type:(AttestationType, str, Optional[AttestationSigningKey], **Any) -> AttestationResponse[PolicyResult] """ Sets the attestation policy for the specified attestation type. :param azure.security.attestation.AttestationType attestation_type: :class:`azure.security.attestation.AttestationType` for which to set the policy. :param str attestation_policy: Attestation policy to be set. :param Optional[AttestationSigningKey] signing_key: Optional signing key to be used to sign the policy before sending it to the service. :return AttestationResponse[PolicyResult]: Attestation service response encapsulating a :class:`PolicyResult`. .. note:: If the attestation instance is in *Isolated* mode, then the `signing_key` parameter MUST be a signing key containing one of the certificates returned by :meth:`get_policy_management_certificates`. If the attestation instance is in *AAD* mode, then the `signing_key` parameter does not need to be provided. """ policy_token = AttestationToken[StoredAttestationPolicy]( body=StoredAttestationPolicy(attestation_policy = attestation_policy.encode('ascii')), signer=signing_key, body_type=StoredAttestationPolicy) policyResult = self._client.policy.set(attestation_type=attestation_type, new_attestation_policy=policy_token.serialize(), **kwargs) token = AttestationToken[PolicyResult](token=policyResult.token, body_type=PolicyResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(**kwargs)): raise Exception("Token Validation of PolicySet API failed.") return AttestationResponse[PolicyResult](token, token.get_body()) @distributed_trace def get_policy_management_certificates(self, **kwargs): #type:(**Any) -> AttestationResponse[list[list[bytes]]] """ Retrieves the set of policy management certificates for the instance. The list of policy management certificates will only be non-empty if the attestation service instance is in Isolated mode. :return AttestationResponse[list[list[bytes]]: Attestation service response encapsulating a list of DER encoded X.509 certificate chains. """ cert_response = self._client.policy_certificates.get(**kwargs) token = AttestationToken[PolicyCertificatesResult]( token=cert_response.token, body_type=PolicyCertificatesResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(**kwargs)): raise Exception("Token Validation of PolicyCertificates API failed.") certificates = [] cert_list = token.get_body() for key in cert_list.policy_certificates.keys: key_certs = [base64.b64decode(cert) for cert in key.x5_c] certificates.append(key_certs) return AttestationResponse(token, certificates) @distributed_trace def add_policy_management_certificate(self, certificate_to_add, signing_key, **kwargs): #type:(bytes, AttestationSigningKey, **Any)-> AttestationResponse[PolicyCertificatesModificationResult] """ Adds a new policy management certificate to the set of policy management certificates for the instance. :param bytes certificate_to_add: DER encoded X.509 certificate to add to the list of attestation policy management certificates. :param AttestationSigningKey signing_key: Signing Key representing one of the *existing* attestation signing certificates. :return AttestationResponse[PolicyCertificatesModificationResult]: Attestation service response encapsulating the status of the add request. The :class:`PolicyCertificatesModificationResult` response to the :meth:`add_policy_management_certificate` API contains two attributes of interest. The first is `certificate_resolution`, which indicates whether the certificate in question is present in the set of policy management certificates after the operation has completed, or if it is absent. The second is the `thumbprint` of the certificate added. The `thumbprint` for the certificate is the SHA1 hash of the DER encoding of the certificate. """ key=JSONWebKey(kty='RSA', x5_c = [ base64.b64encode(certificate_to_add).decode('ascii')]) add_body = AttestationCertificateManagementBody(policy_certificate=key) cert_add_token = AttestationToken[AttestationCertificateManagementBody]( body=add_body, signer=signing_key, body_type=AttestationCertificateManagementBody) cert_response = self._client.policy_certificates.add(cert_add_token.serialize(), **kwargs) token = AttestationToken[GeneratedPolicyCertificatesModificationResult](token=cert_response.token, body_type=GeneratedPolicyCertificatesModificationResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(**kwargs)): raise Exception("Token Validation of PolicyCertificate Add API failed.") return AttestationResponse[PolicyCertificatesModificationResult](token, PolicyCertificatesModificationResult._from_generated(token.get_body())) @distributed_trace def remove_policy_management_certificate(self, certificate_to_add, signing_key, **kwargs): #type:(bytes, AttestationSigningKey, **Any)-> AttestationResponse[PolicyCertificatesModificationResult] """ Removes a new policy management certificate to the set of policy management certificates for the instance. :param bytes certificate_to_add: DER encoded X.509 certificate to add to the list of attestation policy management certificates. :param AttestationSigningKey signing_key: Signing Key representing one of the *existing* attestation signing certificates. :return AttestationResponse[PolicyCertificatesModificationResult]: Attestation service response encapsulating a list of DER encoded X.509 certificate chains. The :class:`PolicyCertificatesModificationResult` response to the :meth:`remove_policy_management_certificate` API contains two attributes of interest. The first is `certificate_resolution`, which indicates whether the certificate in question is present in the set of policy management certificates after the operation has completed, or if it is absent. The second is the `thumbprint` of the certificate added. The `thumbprint` for the certificate is the SHA1 hash of the DER encoding of the certificate. """ key=JSONWebKey(kty='RSA', x5_c = [ base64.b64encode(certificate_to_add).decode('ascii')]) add_body = AttestationCertificateManagementBody(policy_certificate=key) cert_add_token = AttestationToken[AttestationCertificateManagementBody]( body=add_body, signer=signing_key, body_type=AttestationCertificateManagementBody) cert_response = self._client.policy_certificates.remove(cert_add_token.serialize(), **kwargs) token = AttestationToken[GeneratedPolicyCertificatesModificationResult](token=cert_response.token, body_type=GeneratedPolicyCertificatesModificationResult) if self._config.token_validation_options.validate_token: if not token.validate_token(self._config.token_validation_options, self._get_signers(**kwargs)): raise Exception("Token Validation of PolicyCertificate Remove API failed.") return AttestationResponse[PolicyCertificatesModificationResult](token, PolicyCertificatesModificationResult._from_generated(token.get_body())) def _get_signers(self, **kwargs): #type(**Any) -> List[AttestationSigner] """ Returns the set of signing certificates used to sign attestation tokens. """ with self._statelock: if (self._signing_certificates == None): signing_certificates = self._client.signing_certificates.get(**kwargs) self._signing_certificates = [] for key in signing_certificates.keys: # Convert the returned certificate chain into an array of X.509 Certificates. certificates = [] for x5c in key.x5_c: der_cert = base64.b64decode(x5c) certificates.append(der_cert) self._signing_certificates.append(AttestationSigner(certificates, key.kid)) signers = self._signing_certificates return signers def close(self): # type: () -> None self._client.close() def __enter__(self): # type: () -> AttestationAdministrationClient self._client.__enter__() return self def __exit__(self, *exc_details): # type: (Any) -> None self._client.__exit__(*exc_details)

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newsCrawl/fakeNews/index/views.py

ARIF-KHAN-420/Fake_News

1

150079

<reponame>ARIF-KHAN-420/Fake_News from django.shortcuts import render # Create your views here. def index(request): data = {'d' : "Copy a NEWS and paste it."} return render(request,'index.html',data)

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get_phish_code.py

xschur/scripts

0

152386

<reponame>xschur/scripts #!/usr/bin/env python # -*- coding: utf-8 -*- # Author:schur ''' Get phish_url in phishtank,and brute to get source code ''' import aiohttp import asyncio import urllib.parse success_dir = [] success_file = [] headers = { 'User-Agent': 'Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/48.0.2564.116 Safari/537.36', } def split_and_combine(url): dir_list = [] file_list = [] remote_file = [] ext_list = [".zip",".tar.gz",".rar",".txt",".7z",".bak",".gz",".tgz",".bz2"] url = url.split("/") main_url = url[0]+"//"+url[2]+'/' dir = url[3:] for i in dir: main_url = main_url+i+'/' dir_list.append(main_url) if len(dir_list)>=1: del dir_list[-1] for i in dir: for j in ext_list: file = i+j file_list.append(file) for i in dir_list: for j in file_list: remote_file.append(i+j) return dir_list,remote_file async def judge(url): global success_dir global success_file print('[+]handing :'+url.strip()) dir_list,remote_file = split_and_combine(url.strip()) async with aiohttp.ClientSession() as sess: for i in remote_file: try: #print("file:"+i) async with sess.get(i,headers=headers,timeout=3) as res: if res.status == 200: success_file.append(i+'\n') except Exception as e: print(str(e)) for i in dir_list: try: #print('dir'+i) async with sess.get(i,headers=headers,timeout=3) as res: html = await res.text() if "Index" in html: success_dir.append(i+'\n') except Exception as e: print(str(e)) def main(): with open('2.csv','r') as f: data = f.readlines() loop = asyncio.get_event_loop() tasks = [judge(url) for url in data] results = loop.run_until_complete(asyncio.wait(tasks)) with open("result.txt",'a') as f: f.writelines(success_dir) f.writelines(success_file) if __name__ == "__main__": main()

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src/utils/helpers.py

cengc13/2040FinalProject

1

1617786

<filename>src/utils/helpers.py """Helper functions for code sanity""" import numpy as np from tensorflow.keras.callbacks import Callback from sklearn.metrics import accuracy_score, roc_auc_score import re from tqdm.notebook import tqdm from sklearn import metrics def regular_encode(texts, tokenizer, maxlen=512): """ This function is from the kernel: https://www.kaggle.com/xhlulu/jigsaw-tpu-xlm-roberta """ enc_di = tokenizer.batch_encode_plus( texts, return_attention_masks=False, return_token_type_ids=False, pad_to_max_length=True, max_length=maxlen ) return np.array(enc_di['input_ids']) def fast_encode(texts, tokenizer, chunk_size=256, maxlen=512): """ https://www.kaggle.com/xhlulu/jigsaw-tpu-distilbert-with-huggingface-and-keras """ tokenizer.enable_truncation(max_length=maxlen) tokenizer.enable_padding(max_length=maxlen) all_ids = [] for i in tqdm(range(0, len(texts), chunk_size)): text_chunk = texts[i:i+chunk_size].tolist() encs = tokenizer.encode_batch(text_chunk) all_ids.extend([enc.ids for enc in encs]) return np.array(all_ids) # def build_model(transformer, max_len=512): # """ # https://www.kaggle.com/xhlulu/jigsaw-tpu-distilbert-with-huggingface-and-keras # """ # input_word_ids = Input(shape=(max_len,), dtype=tf.int32, name="input_word_ids") # sequence_output = transformer(input_word_ids)[0] # cls_token = sequence_output[:, 0, :] # out = Dense(1, activation='sigmoid')(cls_token) # model = Model(inputs=input_word_ids, outputs=out) # model.compile(Adam(lr=1e-5), loss='binary_crossentropy', metrics=['accuracy']) # return model def roc_auc(predictions,target): """ ROC-AUC value for binary classification. From: https://www.kaggle.com/tanulsingh077/ """ fpr, tpr, thresholds = metrics.roc_curve(target, predictions) roc_auc = metrics.auc(fpr, tpr) return roc_auc class RocAucEvaluation(Callback): ''' https://www.kaggle.com/tarunpaparaju/jigsaw-multilingual-toxicity-eda-models/output#Modeling- ''' def __init__(self, validation_data=(), interval=1): super(Callback, self).__init__() self.interval = interval self.X_val, self.y_val = validation_data def on_epoch_end(self, epoch, logs={}): if epoch % self.interval == 0: y_pred = self.model.predict(self.X_val, verbose=0) score = roc_auc_score(self.y_val, y_pred) print("\n ROC-AUC - epoch: {:d} - score: {:.6f}".format(epoch+1, score)) def build_lrfn(lr_start=0.000001, lr_max=0.000016, lr_min=0.0000001, lr_rampup_epochs=7, lr_sustain_epochs=0, lr_exp_decay=.87): def lrfn(epoch): if epoch < lr_rampup_epochs: lr = (lr_max - lr_start) / lr_rampup_epochs * epoch + lr_start elif epoch < lr_rampup_epochs + lr_sustain_epochs: lr = lr_max else: lr = (lr_max - lr_min) * lr_exp_decay**(epoch - lr_rampup_epochs - lr_sustain_epochs) + lr_min return lr return lrfn ##### Text cleaning from nltk import sent_tokenize LANGS = { 'en': 'english', 'it': 'italian', 'fr': 'french', 'es': 'spanish', 'tr': 'turkish', 'ru': 'russian', 'pt': 'portuguese' } def get_sentences(text, lang='en'): return sent_tokenize(text, LANGS.get(lang, 'english')) def exclude_duplicate_sentences(text, lang='en'): sentences = [] for sentence in get_sentences(text, lang): sentence = sentence.strip() if sentence not in sentences: sentences.append(sentence) return ' '.join(sentences) def clean(text): text = text.lower() # text = exclude_duplicate_sentences(text, lang='en') text = re.sub('\\n',' ', text) text = re.sub("\[\[User.*",'',text) text = re.sub("\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}",'',text) text = re.sub("$http://.*?\s\(http://.*$",'',text) return text # https://www.kaggle.com/chenshengabc/from-quest-encoding-ensemble-a-little-bit-differen puncts = [')', '(', '-', '|', '$', '&', '/', '[', ']', '>', '%', '=', '#', '*', '+', '\\', '•', '~', '@', '£', '·', '_', '{', '}', '©', '^', '®', '`', '<', '→', '°', '€', '™', '›', '♥', '←', '×', '§', '″', '′', 'Â', '█', '½', 'à', '…', '\xa0', '\t', '“', '★', '”', '–', '●', 'â', '►', '−', '¢', '²', '¬', '░', '¶', '↑', '±', '¿', '▾', '═', '¦', '║', '―', '¥', '▓', '—', '‹', '─', '\u3000', '\u202f', '▒', '：', '¼', '⊕', '▼', '▪', '†', '■', '’', '▀', '¨', '▄', '♫', '☆', 'é', '¯', '♦', '¤', '▲', 'è', '¸', '¾', 'Ã', '⋅', '‘', '∞', '«', '∙', '）', '↓', '、', '│', '（', '»', '，', '♪', '╩', '╚', '³', '・', '╦', '╣', '╔', '╗', '▬', '❤', 'ï', 'Ø', '¹', '≤', '‡', '√', ] special_puncts = [',', '.', '"', ':', '!', '?', ';', "'",] mispell_dict = {"aren't" : "are not", "can't" : "cannot", "couldn't" : "could not", "couldnt" : "could not", "didn't" : "did not", "doesn't" : "does not", "doesnt" : "does not", "don't" : "do not", "hadn't" : "had not", "hasn't" : "has not", "haven't" : "have not", "havent" : "have not", "he'd" : "he would", "he'll" : "he will", "he's" : "he is", "i'd" : "I would", "i'd" : "I had", "i'll" : "I will", "i'm" : "I am", "isn't" : "is not", "it's" : "it is", "it'll":"it will", "i've" : "I have", "let's" : "let us", "mightn't" : "might not", "mustn't" : "must not", "shan't" : "shall not", "she'd" : "she would", "she'll" : "she will", "she's" : "she is", "shouldn't" : "should not", "shouldnt" : "should not", "that's" : "that is", "thats" : "that is", "there's" : "there is", "theres" : "there is", "they'd" : "they would", "they'll" : "they will", "they're" : "they are", "theyre": "they are", "they've" : "they have", "we'd" : "we would", "we're" : "we are", "weren't" : "were not", "we've" : "we have", "what'll" : "what will", "what're" : "what are", "what's" : "what is", "what've" : "what have", "where's" : "where is", "who'd" : "who would", "who'll" : "who will", "who're" : "who are", "who's" : "who is", "who've" : "who have", "won't" : "will not", "wouldn't" : "would not", "you'd" : "you would", "you'll" : "you will", "you're" : "you are", "you've" : "you have", "'re": " are", "wasn't": "was not", "we'll":" will", "didn't": "did not", "tryin'":"trying"} def clean_text(x): x = str(x).replace("\n"," ") for punct in puncts: x = x.replace(punct, ' ') return x ### clean text from the kernel: ### https://www.kaggle.com/mobassir/understanding-cross-lingual-models#Part-2-:-Implementation-using-TPU-Multiprocessing from nltk.tokenize.treebank import TreebankWordTokenizer def _get_mispell(mispell_dict): mispell_re = re.compile('(%s)' % '|'.join(mispell_dict.keys())) return mispell_dict, mispell_re def replace_typical_misspell(text): mispellings, mispellings_re = _get_mispell(mispell_dict) def replace(match): return mispellings[match.group(0)] return mispellings_re.sub(replace, text) def clean_data(df, columns: list): for col in columns: df[col] = df[col].apply(lambda x: clean(x)) df[col] = df[col].apply(lambda x: clean_text(x)) df[col] = df[col].apply(lambda x: replace_typical_misspell(x)) return df def plot_loss(his, epoch, title): plt.style.use('ggplot') plt.figure() plt.plot(np.arange(0, epoch), his.history['loss'], label='train_loss') plt.plot(np.arange(0, epoch), his.history['val_loss'], label='val_loss') plt.title(title) plt.xlabel('Epoch #') plt.ylabel('Loss') plt.legend(loc='upper right') plt.show() def plot_auc(his, epoch, title): plt.style.use('ggplot') plt.figure() plt.plot(np.arange(0, epoch), his.history['auc'], label='train_auc') plt.plot(np.arange(0, epoch), his.history['val_auc'], label='val_auc') plt.title(title) plt.xlabel('Epoch #') plt.ylabel('Loss') plt.legend(loc='upper right') plt.show() ### From https://www.kaggle.com/cengc13/jigsaw-tpu-bert-two-stage-training/edit class TextTransformation: def __call__(self, text: str, lang: str = None) -> tuple: raise NotImplementedError('Abstarct') class LowerCaseTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: return text.lower(), lang class URLTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for url in self.find_urls(text): if url in text: text.replace(url, ' external link ') return text.lower(), lang @staticmethod def find_urls(string): # https://www.geeksforgeeks.org/python-check-url-string/ urls = re.findall('http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*, ]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', string) return urls class PunctuationTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for p in '?!.,"#$%\'()*+-/:;<=>@[\\]^_`{|}~' + '“”’' +"/-'" + "&" + "¡¿": if '’' in text: text = text.replace('’', f' \' ') if '’' in text: text = text.replace('’', f' \' ') if '—' in text: text = text.replace('—', f' - ') if '−' in text: text = text.replace('−', f' - ') if '–' in text: text = text.replace('–', f' - ') if '“' in text: text = text.replace('“', f' " ') if '«' in text: text = text.replace('«', f' " ') if '»' in text: text = text.replace('»', f' " ') if '”' in text: text = text.replace('”', f' " ') if '`' in text: text = text.replace('`', f' \' ') text = text.replace(p, f' {p} ') return text.strip(), lang class NumericTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for i in range(10): text = text.replace(str(i), f' {str(i)} ') return text, lang class WikiTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('wikiproject', ' wiki project ') for i in [' vikipedi ', ' wiki ', ' википедии ', " вики ", ' википедия ', ' viki ', ' wikipedien ', ' википедию ']: text = text.replace(i, ' wikipedia ') return text, lang class MessageTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('wikiproject', ' wiki project ') for i in [' msg ', ' msj ', ' mesaj ']: text = text.replace(i, ' message ') return text, lang class PixelTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: for i in [' px ']: text = text.replace(i, ' pixel ') return text, lang class SaleBotTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: text = text.replace('salebot', ' sale bot ') return text, lang class RuTransformation(TextTransformation): def __call__(self, text: str, lang: str = None) -> tuple: if lang is not None and lang == 'ru' and 'http' not in text and 'jpg' not in text and 'wikipedia' not in text: text = text.replace('t', 'т') text = text.replace('h', 'н') text = text.replace('b', 'в') text = text.replace('c', 'c') text = text.replace('k', 'к') text = text.replace('e', 'е') text = text.replace('a', 'а') return text, lang class CombineTransformation(TextTransformation): def __init__(self, transformations: list, return_lang: bool = False): self._transformations = transformations self._return_lang = return_lang def __call__(self, text: str, lang: str = None) -> tuple: for transformation in self._transformations: text, lang = transformation(text, lang) if self._return_lang: return text, lang return text def append(self, transformation: TextTransformation): self._transformations.append(transformation) transformer = CombineTransformation( [ LowerCaseTransformation(), PunctuationTransformation(), NumericTransformation(), PixelTransformation(), MessageTransformation(), WikiTransformation(), SaleBotTransformation() ] )

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mailadmin.py

FabianWe/pymailadmin

0

160455

<gh_stars>0 # Copyright (c) 2016, 2017 <NAME> # MIT License # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. import crypt import MySQLdb import string import random import configparser import sys import re pw_chars = string.ascii_letters + string.digits def parse_settings(path='.config'): config = configparser.ConfigParser() config.read(path) mysql = config['mysql'] user = mysql.get('user') if user is None: print('"user" not set in config file. Error.') sys.exit(1) password = mysql.get('password') if password is None: print('"password" not set in config file. Error') sys.exit(1) host = mysql.get('host', '127.0.1.1') port = mysql.getint('port', 3306) db = mysql.get('db', 'mailserver') return {'host': host, 'port': port, 'db': db, 'user': user, 'password': password} def gen_pw(pw_len=12): return "".join(random.choice(pw_chars) for _ in range(pw_len)) def open_db(host, user, passwd, port=3306, db='mailserver'): return MySQLdb.connect(host=host, user=user, passwd=passwd, db=db, port=port) def open_from_settings(path='.config'): settings = parse_settings(path) return open_db(host=settings['host'], user=settings['user'], passwd=settings['password'], port=settings['port'], db=settings['db']) def gen_hash(pw): return '{SHA512-CRYPT}' + crypt.crypt(pw, crypt.mksalt(crypt.METHOD_SHA512)) def init_db(db): cur = db.cursor() cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_domains ( id INT NOT NULL AUTO_INCREMENT, name VARCHAR(50) NOT NULL, PRIMARY KEY(id), UNIQUE KEY name (name) ) ''' ) cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_users ( id INT NOT NULL AUTO_INCREMENT, domain_id INT NOT NULL, email VARCHAR(100), password varchar(150) NOT NULL, PRIMARY KEY(id), UNIQUE KEY email (email), FOREIGN KEY (domain_id) REFERENCES virtual_domains(id) ON DELETE CASCADE ) ''' ) cur.execute( ''' CREATE TABLE IF NOT EXISTS virtual_aliases ( id INT NOT NULL AUTO_INCREMENT, domain_id INT NOT NULL, source VARCHAR(100) NOT NULL, destination VARCHAR(100) NOT NULL, PRIMARY KEY (id), FOREIGN KEY (domain_id) REFERENCES virtual_domains(id) ON DELETE CASCADE ) ''' ) cur.close() db.commit() def add_domain(db, name): cur = db.cursor() cmd = ''' INSERT INTO virtual_domains (name) VALUES (%s) ''' cur.execute(cmd, (name,)) cur.close() db.commit() def add_user(db, mail, pw_hash): cur = db.cursor() split = mail.split('@') if len(split) != 2: print('Email does not contain exactly one @. Error.') sys.exit(1) domain = split[1] get_domain = ''' SELECT id FROM virtual_domains WHERE name = %s ''' cur.execute(get_domain, (domain,)) entries = list(cur) if not entries: print('Domain "%s" was not found. Error.' % domain) sys.exit(1) # everything ok, we got the id, so now add domain_id = entries[0][0] cmd = ''' INSERT INTO virtual_users (domain_id, email, password) VALUES (%s, %s, %s) ''' cur.execute(cmd, (domain_id, mail, pw_hash)) cur.close() db.commit() def add_alias(db, source, dest): cur = db.cursor() split = source.split('@') if len(split) != 2: print('Email does not contain exactly one @. Error') sys.exit(1) domain = split[1] get_domain = ''' SELECT id FROM virtual_domains WHERE name = %s ''' cur.execute(get_domain, (domain,)) entries = list(cur) if not entries: print('Domain "%s" was not found. Error.' % domain) sys.exit(1) domain_id = entries[0][0] cmd = ''' INSERT INTO virtual_aliases (domain_id, source, destination) VALUES (%s, %s, %s) ''' cur.execute(cmd, (domain_id, source, dest)) cur.close() db.commit() mail_regex = re.compile(r"(^[a-zA-Z0-9_.+-]+@[a-zA-Z0-9-]+\.[a-zA-Z0-9-.]+$)") def valid_email(mail): return mail_regex.match(mail) is not None

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14550, 13, 1678, 1723, 13, 1678, 3151, 29889, 5358, 580, 13, 1678, 4833, 29889, 15060, 580, 13, 13, 1753, 788, 29918, 7247, 29898, 2585, 29892, 1024, 1125, 13, 1678, 3151, 353, 4833, 29889, 18127, 580, 13, 1678, 9920, 353, 14550, 13, 1678, 14482, 11646, 6901, 29918, 3129, 2708, 13, 1678, 313, 978, 29897, 13, 1678, 15673, 313, 29995, 29879, 29897, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 9006, 29892, 313, 978, 29892, 876, 13, 1678, 3151, 29889, 5358, 580, 13, 1678, 4833, 29889, 15060, 580, 13, 13, 1753, 788, 29918, 1792, 29898, 2585, 29892, 10524, 29892, 282, 29893, 29918, 8568, 1125, 13, 1678, 3151, 353, 4833, 29889, 18127, 580, 13, 1678, 6219, 353, 10524, 29889, 5451, 877, 29992, 1495, 13, 1678, 565, 7431, 29898, 5451, 29897, 2804, 29871, 29906, 29901, 13, 4706, 1596, 877, 9823, 947, 451, 1712, 3721, 697, 732, 29889, 4829, 29889, 1495, 13, 4706, 10876, 29889, 13322, 29898, 29896, 29897, 13, 1678, 5354, 353, 6219, 29961, 29896, 29962, 13, 1678, 679, 29918, 7247, 353, 14550, 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13, 13, 1753, 788, 29918, 19973, 29898, 2585, 29892, 2752, 29892, 2731, 1125, 13, 1678, 3151, 353, 4833, 29889, 18127, 580, 13, 1678, 6219, 353, 2752, 29889, 5451, 877, 29992, 1495, 13, 1678, 565, 7431, 29898, 5451, 29897, 2804, 29871, 29906, 29901, 13, 4706, 1596, 877, 9823, 947, 451, 1712, 3721, 697, 732, 29889, 4829, 1495, 13, 4706, 10876, 29889, 13322, 29898, 29896, 29897, 13, 1678, 5354, 353, 6219, 29961, 29896, 29962, 13, 1678, 679, 29918, 7247, 353, 14550, 13, 1678, 5097, 1178, 3895, 6901, 29918, 3129, 2708, 5754, 1024, 353, 1273, 29879, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 657, 29918, 7247, 29892, 313, 7247, 29892, 876, 13, 1678, 9976, 353, 1051, 29898, 2764, 29897, 13, 1678, 565, 451, 9976, 29901, 13, 4706, 1596, 877, 15951, 11860, 29879, 29908, 471, 451, 1476, 29889, 4829, 6169, 1273, 5354, 29897, 13, 4706, 10876, 29889, 13322, 29898, 29896, 29897, 13, 1678, 5354, 29918, 333, 353, 9976, 29961, 29900, 3816, 29900, 29962, 13, 1678, 9920, 353, 14550, 13, 1678, 14482, 11646, 6901, 29918, 2606, 2129, 13, 1678, 313, 7247, 29918, 333, 29892, 2752, 29892, 12551, 29897, 13, 1678, 15673, 313, 29995, 29879, 29892, 1273, 29879, 29892, 1273, 29879, 29897, 13, 1678, 14550, 13, 1678, 3151, 29889, 7978, 29898, 9006, 29892, 313, 7247, 29918, 333, 29892, 2752, 29892, 2731, 876, 13, 1678, 3151, 29889, 5358, 580, 13, 1678, 4833, 29889, 15060, 580, 13, 13, 13, 2549, 29918, 13087, 353, 337, 29889, 12198, 29898, 29878, 29908, 29898, 29985, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 5396, 29974, 29899, 10062, 29992, 29961, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29899, 29962, 3124, 7226, 29874, 29899, 25265, 29899, 29999, 29900, 29899, 29929, 29899, 5586, 29974, 10931, 1159, 13, 13, 1753, 2854, 29918, 5269, 29898, 2549, 1125, 13, 1678, 736, 10524, 29918, 13087, 29889, 4352, 29898, 2549, 29897, 338, 451, 6213, 13, 2 ]

blisk/run_blisk_py.py

suleymanmuti/CalculiX-Examples

0

113574

#!/usr/bin/python import os os.system("cgx -bg blisk_pre.fbd") os.system("ccx blisk") os.system("cgx -bg blisk_post.fbd")

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parsl/tests/test_error_handling/test_resource_spec.py

MatthewBM/parsl

0

1417

<gh_stars>0 import parsl from parsl.app.app import python_app from parsl.tests.configs.local_threads import config from parsl.executors.errors import UnsupportedFeatureError from parsl.executors import WorkQueueExecutor @python_app def double(x, parsl_resource_specification={}): return x * 2 def test_resource(n=2): spec = {'cores': 2, 'memory': '1GiB'} fut = double(n, parsl_resource_specification=spec) try: fut.result() except Exception as e: assert isinstance(e, UnsupportedFeatureError) else: executors = parsl.dfk().executors executor = None for label in executors: if label != 'data_manager': executor = executors[label] break assert isinstance(executor, WorkQueueExecutor) if __name__ == '__main__': local_config = config parsl.load(local_config) x = test_resource(2)

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peripheral/supc_u2407/config/supc.py

Unitek-KL/csp

0

168043

# coding: utf-8 """***************************************************************************** * Copyright (C) 2018 Microchip Technology Inc. and its subsidiaries. * * Subject to your compliance with these terms, you may use Microchip software * and any derivatives exclusively with Microchip products. It is your * responsibility to comply with third party license terms applicable to your * use of third party software (including open source software) that may * accompany Microchip software. * * THIS SOFTWARE IS SUPPLIED BY MICROCHIP "AS IS". NO WARRANTIES, WHETHER * EXPRESS, IMPLIED OR STATUTORY, APPLY TO THIS SOFTWARE, INCLUDING ANY IMPLIED * WARRANTIES OF NON-INFRINGEMENT, MERCHANTABILITY, AND FITNESS FOR A * PARTICULAR PURPOSE. * * IN NO EVENT WILL MICROCHIP BE LIABLE FOR ANY INDIRECT, SPECIAL, PUNITIVE, * INCIDENTAL OR CONSEQUENTIAL LOSS, DAMAGE, COST OR EXPENSE OF ANY KIND * WHATSOEVER RELATED TO THE SOFTWARE, HOWEVER CAUSED, EVEN IF MICROCHIP HAS * BEEN ADVISED OF THE POSSIBILITY OR THE DAMAGES ARE FORESEEABLE. TO THE * FULLEST EXTENT ALLOWED BY LAW, MICROCHIP'S TOTAL LIABILITY ON ALL CLAIMS IN * ANY WAY RELATED TO THIS SOFTWARE WILL NOT EXCEED THE AMOUNT OF FEES, IF ANY, * THAT YOU HAVE PAID DIRECTLY TO MICROCHIP FOR THIS SOFTWARE. *****************************************************************************""" ################################################################################################### ########################################## Callbacks ############################################# ################################################################################################### def updateSupcConfigVisibleProperty(symbol, event): symbol.setVisible(event["value"]) def updateBOD33PrescalerVisibleProperty(symbol, event): if supcSym_BOD33_STDBYCFG.getValue() == 1 or supcSym_BOD33_RUNHIB.getValue() == True or supcSym_BOD33_RUNBKUP.getValue() == True: symbol.setVisible(True) else: symbol.setVisible(False) def updateVrefVisibleProperty(symbol, event): if supcSym_VREF_VREFOE.getValue() == True and supcSym_VREF_ONDEMAND.getValue() == False: symbol.setVisible(False) else: symbol.setVisible(True) def interruptControl(symbol, event): Database.setSymbolValue("core", InterruptVector, event["value"], 2) Database.setSymbolValue("core", InterruptHandlerLock, event["value"], 2) if event["value"] == True: Database.setSymbolValue("core", InterruptHandler, supcInstanceName.getValue() + "_BODDET_InterruptHandler", 2) else: Database.setSymbolValue("core", InterruptHandler, supcInstanceName.getValue() + "_BODDET_Handler", 2) ################################################################################################### ########################################## Component ############################################# ################################################################################################### def instantiateComponent(supcComponent): global supcSym_BOD33_STDBYCFG global supcSym_BOD33_RUNHIB global supcSym_BOD33_RUNBKUP global supcSym_VREF_VREFOE global supcSym_VREF_ONDEMAND global supcInstanceName global InterruptVector global InterruptHandler global InterruptHandlerLock global supcSym_INTENSET supcInstanceName = supcComponent.createStringSymbol("SUPC_INSTANCE_NAME", None) supcInstanceName.setVisible(False) supcInstanceName.setDefaultValue(supcComponent.getID().upper()) #BOD33 Menu supcSym_BOD33_Menu= supcComponent.createMenuSymbol("BOD33_MENU", None) supcSym_BOD33_Menu.setLabel("VDD Brown-Out Detector (BOD33) Configuration") #BOD33 interrupt mode supcSym_INTENSET = supcComponent.createBooleanSymbol("SUPC_INTERRUPT_ENABLE", supcSym_BOD33_Menu) supcSym_INTENSET.setLabel("Enable BOD Interrupt") supcSym_INTENSET.setDefaultValue(False) # Interrupt Warning status supcSym_IntEnComment = supcComponent.createCommentSymbol("SUPC_INTERRUPT_ENABLE_COMMENT", supcSym_BOD33_Menu) supcSym_IntEnComment.setVisible(False) supcSym_IntEnComment.setLabel("Warning!!! SUPC Interrupt is Disabled in Interrupt Manager") supcSym_IntEnComment.setDependencies(interruptControl, ["SUPC_INTERRUPT_ENABLE"]) #BOD33 RUNHIB supcSym_BOD33_RUNHIB = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNHIB", supcSym_BOD33_Menu) supcSym_BOD33_RUNHIB.setLabel("Run in Hibernate Mode") supcSym_BOD33_RUNHIB.setDescription("Configures BOD33 operation in Hibernate Sleep Mode") supcSym_BOD33_RUNHIB.setDefaultValue(False) #BOD33 RUNBKUP supcSym_BOD33_RUNBKUP = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNBKUP", supcSym_BOD33_Menu) supcSym_BOD33_RUNBKUP.setLabel("Run in Backup Mode") supcSym_BOD33_RUNBKUP.setDescription("Configures BOD33 operation in Backup Sleep Mode") supcSym_BOD33_RUNBKUP.setDefaultValue(False) #BOD33 RUNSTDBY supcSym_BOD33_RUNSTDBY = supcComponent.createBooleanSymbol("SUPC_BOD33_RUNSTDBY", supcSym_BOD33_Menu) supcSym_BOD33_RUNSTDBY.setLabel("Run in Standby Mode") supcSym_BOD33_RUNSTDBY.setDescription("Configures BOD33 operation in Standby Sleep Mode") supcSym_BOD33_RUNSTDBY.setDefaultValue(False) #BOD33 STDBYCFG mode supcSym_BOD33_STDBYCFG = supcComponent.createKeyValueSetSymbol("SUPC_BOD33_STDBYCFG", supcSym_BOD33_Menu) supcSym_BOD33_STDBYCFG.setLabel("Select Standby Mode Operation") supcSym_BOD33_STDBYCFG.setDescription("Configures whether BOD33 should operate in continuous or sampling mode in Standby Sleep Mode") supcSym_BOD33_STDBYCFG.addKey("CONT_MODE", "0", "Continuous Mode") supcSym_BOD33_STDBYCFG.addKey("SAMP_MODE", "1", "Sampling Mode") supcSym_BOD33_STDBYCFG.setDefaultValue(0) supcSym_BOD33_STDBYCFG.setOutputMode("Value") supcSym_BOD33_STDBYCFG.setDisplayMode("Description") supcSym_BOD33_STDBYCFG.setVisible(False) supcSym_BOD33_STDBYCFG.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BOD33_RUNSTDBY"]) #BOD33 PSEL supcSym_BOD33_PSEL = supcComponent.createKeyValueSetSymbol("SUPC_BOD33_PSEL", supcSym_BOD33_Menu) supcSym_BOD33_PSEL.setLabel("Select Prescaler for Sampling Clock") supcSym_BOD33_PSEL.setDescription("Configures the sampling clock prescaler when BOD33 is operating in sampling Mode") supcSym_BOD33_PSEL.setVisible(False) supcSym_BOD33_PSEL.setDependencies(updateBOD33PrescalerVisibleProperty, ["SUPC_BOD33_STDBYCFG", "SUPC_BOD33_RUNHIB", "SUPC_BOD33_RUNBKUP"]) supcBOD33PselNode = ATDF.getNode("/avr-tools-device-file/modules/module@[name=\"SUPC\"]/value-group@[name=\"SUPC_BOD33__PSEL\"]") supcBOD33PselValues = [] supcBOD33PselValues = supcBOD33PselNode.getChildren() #PSEL value 0 is not usable in sampling mode. Thus the loop starts from 1. for index in range (1, len(supcBOD33PselValues)): supcBOD33PselKeyName = supcBOD33PselValues[index].getAttribute("name") supcBOD33PselKeyDescription = supcBOD33PselValues[index].getAttribute("caption") supcBOD33PselKeyValue = supcBOD33PselValues[index].getAttribute("value") supcSym_BOD33_PSEL.addKey(supcBOD33PselKeyName, supcBOD33PselKeyValue, supcBOD33PselKeyDescription) supcSym_BOD33_PSEL.setDefaultValue(0) supcSym_BOD33_PSEL.setOutputMode("Value") supcSym_BOD33_PSEL.setDisplayMode("Description") #BOD Configuration comment supcSym_BOD33_FuseComment = supcComponent.createCommentSymbol("SUPC_CONFIG_COMMENT", supcSym_BOD33_Menu) supcSym_BOD33_FuseComment.setLabel("Note: Configure BOD33 Fuses using 'System' component") #VREG Menu supcSym_VREG_Menu= supcComponent.createMenuSymbol("VREG_MENU", None) supcSym_VREG_Menu.setLabel("Voltage Regulator (VREG) Configuration") #VREG RUNBKUP mode supcSym_VREG_RUNBKUP = supcComponent.createKeyValueSetSymbol("SUPC_VREG_RUNBKUP", supcSym_VREG_Menu) supcSym_VREG_RUNBKUP.setLabel("Main Voltage Regulator operation in backup sleep") supcSym_VREG_RUNBKUP.setDescription("Selects Main Voltage Regulator operation in backup sleep") supcSym_VREG_RUNBKUP.addKey("REG_OFF", "0", "Regulator stopped") supcSym_VREG_RUNBKUP.addKey("REG_ON", "1", "Regulator not stopped") supcSym_VREG_RUNBKUP.setDefaultValue(0) supcSym_VREG_RUNBKUP.setOutputMode("Value") supcSym_VREG_RUNBKUP.setDisplayMode("Description") #VREG VESN supcSym_VREG_VSEN = supcComponent.createBooleanSymbol("SUPC_VREG_VSEN", supcSym_VREG_Menu) supcSym_VREG_VSEN.setLabel("Enable Voltage Scaling") supcSym_VREG_VSEN.setDescription("Enable smooth transition of VDDCORE") supcSym_VREG_VSEN.setDefaultValue(False) #VREG VSPER supcSym_VREG_VSPER = supcComponent.createIntegerSymbol("SUPC_VREG_VSPER", supcSym_VREG_Menu) supcSym_VREG_VSPER.setLabel("Voltage Scaling Period") supcSym_VREG_VSEN.setDescription("The time is ((2^VSPER) * T), where T is an internal period (typ 250 ns).") supcSym_VREG_VSPER.setDefaultValue(0) supcSym_VREG_VSPER.setMin(0) supcSym_VREG_VSPER.setMax(7) supcSym_VREG_VSPER.setVisible(False) supcSym_VREG_VSPER.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_VREG_VSEN"]) #VREF Menu supcSym_VREF_Menu= supcComponent.createMenuSymbol("VREF_MENU", None) supcSym_VREF_Menu.setLabel("Voltage Reference (VREF) Configuration") supcSym_VREF_SEL = supcComponent.createKeyValueSetSymbol("SUPC_VREF_SEL", supcSym_VREF_Menu) supcSym_VREF_SEL.setLabel("Voltage Reference value") supcSym_VREF_SEL.setDescription("Select the Voltage Reference typical value") supcVREFSelNode = ATDF.getNode("/avr-tools-device-file/modules/module@[name=\"SUPC\"]/value-group@[name=\"SUPC_VREF__SEL\"]") supcVREFSelValues = [] supcVREFSelValues = supcVREFSelNode.getChildren() for index in range (0, len(supcVREFSelValues)): supcVREFSelKeyName = supcVREFSelValues[index].getAttribute("name") supcVREFSelKeyDescription = supcVREFSelValues[index].getAttribute("caption") supcVREFSelKeyValue = supcVREFSelValues[index].getAttribute("value") supcSym_VREF_SEL.addKey(supcVREFSelKeyName, supcVREFSelKeyValue, supcVREFSelKeyDescription) supcSym_VREF_SEL.setDefaultValue(0) supcSym_VREF_SEL.setOutputMode("Value") supcSym_VREF_SEL.setDisplayMode("Description") #VREF ONDEMAND mode supcSym_VREF_ONDEMAND = supcComponent.createBooleanSymbol("SUPC_VREF_ONDEMAND", supcSym_VREF_Menu) supcSym_VREF_ONDEMAND.setLabel("Enable On demand") supcSym_VREF_ONDEMAND.setDescription("If this option is enabled, the voltage reference is disabled when no peripheral is requesting it.") supcSym_VREF_ONDEMAND.setDefaultValue(False) #VREF RUNSTDBY mode supcSym_VREF_RUNSTDBY = supcComponent.createBooleanSymbol("SUPC_VREF_RUNSTDBY", supcSym_VREF_Menu) supcSym_VREF_RUNSTDBY.setLabel("Enable Run in Standby") supcSym_VREF_RUNSTDBY.setDescription("Enable VREF operation in Standby Sleep Mode") #VREF VREFOE supcSym_VREF_VREFOE = supcComponent.createBooleanSymbol("SUPC_VREF_VREFOE", supcSym_VREF_Menu) supcSym_VREF_VREFOE.setLabel("Enable VREF output") supcSym_VREF_VREFOE.setDescription("Enable VREF connection to ADC. If ONDEMAND is 0 and VREF is enabled, Temperature Sensor cannot be used") supcSym_VREF_VREFOE.setDefaultValue(False) #VREF TSEN supcSym_VREF_TSEN = supcComponent.createBooleanSymbol("SUPC_VREF_TSEN", supcSym_VREF_Menu) supcSym_VREF_TSEN.setLabel("Enable Temperature Sensor") supcSym_VREF_TSEN.setDescription("Enable Temperature Sensor connection to ADC") supcSym_VREF_TSEN.setDefaultValue(False) supcSym_VREF_TSEN.setDependencies(updateVrefVisibleProperty, ["SUPC_VREF_ONDEMAND", "SUPC_VREF_VREFOE"]) #BBPS Menu supcSym_BBPS_Menu= supcComponent.createMenuSymbol("SUPC_BBPS", None) supcSym_BBPS_Menu.setLabel("Battery Backup Power Switch Configuraiton") #BBPS supply switching supcSym_BBPS = supcComponent.createBooleanSymbol("SUPC_BBPS_WAKEEN", supcSym_BBPS_Menu) supcSym_BBPS.setLabel("Wake Device on BBPS Switching") supcSym_BBPS.setDescription("The device can be woken up when switched from battery backup power to Main Power.") #SUPC Output pin configuration #For pin names, refer 'Supply Controller Pinout' in Datasheet supcSym_BKOUT_Menu= supcComponent.createMenuSymbol("SUPC_BKOUT", None) supcSym_BKOUT_Menu.setLabel("SUPC Output pin configuraiton") #SUPC Output pin 0 supcSym_BKOUT0 = supcComponent.createBooleanSymbol("SUPC_BKOUT_0", supcSym_BKOUT_Menu) supcSym_BKOUT0.setLabel("Enable OUT0") supcSym_BKOUT0.setDescription("OUT0 pin can be driven by SUPC. It can be toggled by SUPC, based on RTC Events") supcSym_BKOUT0.setDefaultValue(False) #RTCTGCL 0 supcSym_BKOUT_RTCTGL0 = supcComponent.createBooleanSymbol("SUPC_BKOUT_RTCTGCL0", supcSym_BKOUT0) supcSym_BKOUT_RTCTGL0.setLabel("Toggle OUT0 on RTC Event") supcSym_BKOUT_RTCTGL0.setDescription("OUT0 pin can be toggled by SUPC, based on RTC Events") supcSym_BKOUT_RTCTGL0.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BKOUT_0"]) supcSym_BKOUT_RTCTGL0.setVisible(False) #SUPC Output pin 1 supcSym_BKOUT1 = supcComponent.createBooleanSymbol("SUPC_BKOUT_1", supcSym_BKOUT_Menu) supcSym_BKOUT1.setLabel("Enable OUT1") supcSym_BKOUT1.setDescription("OUT1 pin can be driven by SUPC. It can be toggled by SUPC, based on RTC Events") supcSym_BKOUT1.setDefaultValue(False) #RTCTGCL 1 supcSym_BKOUT_RTCTGL1 = supcComponent.createBooleanSymbol("SUPC_BKOUT_RTCTGCL1", supcSym_BKOUT1) supcSym_BKOUT_RTCTGL1.setLabel("Toggle OUT1 on RTC Event") supcSym_BKOUT_RTCTGL1.setDescription("OUT1 pin can be toggled by SUPC, based on RTC Events") supcSym_BKOUT_RTCTGL1.setDependencies(updateSupcConfigVisibleProperty, ["SUPC_BKOUT_1"]) supcSym_BKOUT_RTCTGL1.setVisible(False) ############################################################################ #### Dependency #### ############################################################################ InterruptVector = supcInstanceName.getValue() + "_BODDET_INTERRUPT_ENABLE" InterruptHandler = supcInstanceName.getValue() + "_BODDET_INTERRUPT_HANDLER" InterruptHandlerLock = supcInstanceName.getValue()+ "_BODDET_INTERRUPT_HANDLER_LOCK" ################################################################################################### ####################################### Code Generation ########################################## ################################################################################################### configName = Variables.get("__CONFIGURATION_NAME") supcSym_HeaderFile = supcComponent.createFileSymbol("SUPC_HEADER", None) supcSym_HeaderFile.setSourcePath("../peripheral/supc_u2407/templates/plib_supc.h.ftl") supcSym_HeaderFile.setOutputName("plib_"+supcInstanceName.getValue().lower()+".h") supcSym_HeaderFile.setDestPath("/peripheral/supc/") supcSym_HeaderFile.setProjectPath("config/" + configName + "/peripheral/supc/") supcSym_HeaderFile.setType("HEADER") supcSym_HeaderFile.setMarkup(True) supcSym_SourceFile = supcComponent.createFileSymbol("SUPC_SOURCE", None) supcSym_SourceFile.setSourcePath("../peripheral/supc_u2407/templates/plib_supc.c.ftl") supcSym_SourceFile.setOutputName("plib_"+supcInstanceName.getValue().lower()+".c") supcSym_SourceFile.setDestPath("/peripheral/supc/") supcSym_SourceFile.setProjectPath("config/" + configName + "/peripheral/supc/") supcSym_SourceFile.setType("SOURCE") supcSym_SourceFile.setMarkup(True) supcSym_SystemInitFile = supcComponent.createFileSymbol("SUPC_SYS_INT", None) supcSym_SystemInitFile.setType("STRING") supcSym_SystemInitFile.setOutputName("core.LIST_SYSTEM_INIT_C_SYS_INITIALIZE_PERIPHERALS") supcSym_SystemInitFile.setSourcePath("../peripheral/supc_u2407/templates/system/initialization.c.ftl") supcSym_SystemInitFile.setMarkup(True) supcSym_SystemDefFile = supcComponent.createFileSymbol("SUPC_SYS_DEF", None) supcSym_SystemDefFile.setType("STRING") supcSym_SystemDefFile.setOutputName("core.LIST_SYSTEM_DEFINITIONS_H_INCLUDES") supcSym_SystemDefFile.setSourcePath("../peripheral/supc_u2407/templates/system/definitions.h.ftl") supcSym_SystemDefFile.setMarkup(True)

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backend/backend/users/models.py

Redaloukil/PackageWay

0

88766

import uuid from django.contrib.auth.models import AbstractUser , PermissionsMixin from django.db import models from django.urls import reverse from django.utils.translation import ugettext_lazy as _ from backend.users.managers import UserManager USER_TYPE = ( ("0" , "client"), ("1" , "delivery") ) class User(AbstractUser): username = models.CharField(_("Name of User"), blank=False, max_length=255 , unique=True) first_name = models.CharField(max_length=255 , blank=False) last_name = models.CharField(max_length=255 , blank=False) user_type = models.CharField( choices=USER_TYPE ,max_length=10 ,default="0") is_active = models.BooleanField(default=True) is_staff = models.BooleanField(default=False) objects = UserManager() def get_absolute_url(self): return reverse("users:detail", kwargs={"username": self.username}) USERNAME_FIELD = 'username' REQUIRED_FIELDS = ['first_name' ,'last_name' ,''] class Meta: app_label = 'users' def __str__(self): return self.username def get_short_name(self): return self.username def get_full_name(self): return self.username + " " + self.first_name + " " + self.last_name def save(self, *args, **kwargs): if not self.password: self.password = str(uuid.uuid4()).replace('-', '') super(User, self).save(*args, **kwargs) class Profile(models.Model): # image = models.ImageField(blank=True) user = models.ForeignKey(User , on_delete=models.CASCADE) def __str__(self): return self.user.username class ResetPasswordCode(models.Model): user = models.ForeignKey(User , on_delete=models.CASCADE) code = models.UUIDField(default=uuid.uuid4, editable=False, primary_key=True) class Meta: default_related_name = 'reset_password_codes' def __str__(self): return self.user.username + " " + self.code

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scripts/chi-to-json.py

paperquest/paperquest.github.io

14

125132

################################################################################ # # Parses a tab-separated dataset file of papers from CHI and UIST and # turns it into JSON. Each row in the file has the columns: # # 1. conference # 2. year # 3. title # 4. abstract # 5. authors # 6. doi # 7. references # # where authors is of the form author1~author2~...~authorN and the # references are doi's of other publications, using up as many extra # columns as there are references for the paper. # # The script also tries to complete the citation information for each # paper, scanning through the references to add relevant citations to # the papers contained in this dataset. import json import sys def partialDOIMatch(d1, d2): """ Assumes d1 is a "full DOI", like '10.1145/1166253.1166292', and d2 is a partial DOI, like '1166292' or '1166253.1166292'. Returns true if they match and false otherwise. Note that in the previous case, a partial like '292' would be a negative match. The partial must contain full subsections. """ if (d2.find('.') >= 0): return d2 == d1.split('/')[-1] return d2 == d1.split('.')[-1] if __name__ == "__main__": if len(sys.argv) != 3: print "Usage: python chi-to-json.py <papers.tsv> <citation_counts.json>" exit (1); input_file = open(sys.argv[1]) papers = {} for line in input_file.readlines(): # Drop whitespace at the end, and split on tabs. vals = line.rstrip().split('\t') # Build a new dictionary with the values for the paper. paper = {} paper['conference'] = vals[0] paper['year'] = vals[1] paper['title'] = vals[2] paper['abstract'] = vals[3] paper['authors'] = vals[4].split('~') # paper['doi'] = vals[5] paper['references'] = vals[6:] paper['citations'] = [] paper['citation_count'] = 0 # All papers have a 0 CC by default # Index papers by doi to set up for building citations. papers[vals[5]] = paper input_file.close() # Once we have a dictionary with all papers, go through them again # building the citations for doi, paper in papers.iteritems(): for ref in paper['references']: try: papers[ref]['citations'].append(doi) except KeyError: # Skip this one, there's no paper with that doi in our dataset. #print "Not found " + ref pass # For debugging: number of references and citations in the whole # dataset. If the dataset is self-contained, these numbers should # be the same. #print len(papers) #print reduce(lambda x,y: x+y, [len(p['references']) for p in papers.values()]) #print reduce(lambda x,y: x+y, [len(p['citations']) for p in papers.values()]) ccs = None with open(sys.argv[2]) as citation_counts_json: ccs = json.loads(citation_counts_json.read()) # The following process adds citation count information to every # paper that can be found on the specified file. This is a slow # process because we don't use the hash function in dict, but it # shouldn't have to run frequently. for d2 in ccs.keys(): matches = [d1 for d1 in papers.keys() if partialDOIMatch(d1, d2)] if matches: papers[matches[0]]['citation_count'] = ccs[d2]['citation_count'] # Write out a JSON object with everything in it. print json.dumps({'papers': papers})

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python/q904/q904.py

MatthewTsan/Leetcode

0

169773

from typing import List """ keyPoint: sliding window. facing problems with multiple same numbers: consider sum it up. """ class Solution: def totalFruit(self, tree: List[int]) -> int: if len(tree) == 0: return 0 treeList = [] totalNumber = 1 for i in range(len(tree) - 1): if tree[i] == tree[i + 1]: totalNumber += 1 else: treeList.append((tree[i], totalNumber)) totalNumber = 1 treeList.append((tree[-1], totalNumber)) print(treeList) if(len(treeList) == 1): return treeList[0][1] i = 2 inBusket = [treeList[0][0], treeList[1][0]] temWeight = treeList[0][1] + treeList[1][1] maxWeight = temWeight while (i < len(treeList)): print(i) print("inBusket:", inBusket) print("temWeight:", temWeight) print("max:", maxWeight) if treeList[i][0] in inBusket: temWeight += treeList[i][1] else: maxWeight = max(temWeight, maxWeight) inBusket = [treeList[i - 1][0], treeList[i][0]] temWeight = treeList[i - 1][1] + treeList[i][1] i += 1 maxWeight = max(temWeight, maxWeight) return maxWeight if __name__ == '__main__': sol = Solution() list = [1, 1,1,1,1,1] res = sol.totalFruit(list) print(res)

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LaylaCoin/main.py

Bhaney44/AlgorandDevelopment

0

118244

<gh_stars>0 #Imports from config import * from algosdk.v2client import algod from algosdk import account, mnemonic from algosdk.future.transaction import write_to_file from algosdk.future.transaction import AssetConfigTxn, AssetTransferTxn from util import sign_and_send, balance_formatter from algosdk.future.transaction import AssetTransferTxn # Client # client = algod.AlgodClient(algod_token, algod_address) client = algod.AlgodClient("", algod_address, headers={'User-Agent': 'DoYouLoveMe?'}) # Create function. # Returns an unsigned txn object and writes the unsigned transaction object to a file for offline signing. # Uses current network params. def create(passphrase=None): params = client.suggested_params() txn = AssetConfigTxn(creator_address, params, **asset_details) if passphrase: txinfo = sign_and_send(txn, passphrase, client) asset_id = txinfo.get('asset-index') print("Asset ID: {}".format(asset_id)) else: write_to_file([txn], "create_coin.txn") # Creates an unsigned opt-in transaction for the specified asset id and address. # Uses current network params. def optin(passphrase=None): params = client.suggested_params() txn = AssetTransferTxn(sender=receiver_address, sp=params, receiver=receiver_address, amt=0, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) print("Opted in to asset ID: {}".format(asset_id)) else: write_to_file([txns], "optin.txn") # Creates an unsigned transfer transaction for the specified asset id, to the specified address, for the specified amount. #def transfer(passphrase=None): #amount = 6000 #params = client.suggested_params() #txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) #if passphrase: #txinfo = sign_and_send(txn, passphrase, client) #formatted_amount = balance_formatter(amount, asset_id, client) #print("Transferred {} from {} to {}".format(formatted_amount, #creator_address, receiver_address)) #print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) #else: #write_to_file([txns], "transfer.txn") def transfer(passphrase=None): amount = 6000 params = client.suggested_params() txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) formatted_amount = balance_formatter(amount, asset_id, client) print("Transferred {} from {} to {}".format(formatted_amount, creator_address, receiver_address)) print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) else: write_to_file([txns], "transfer.txn") # Checks the asset balance for the specific address and asset id. def check_holdings(asset_id, address): account_info = client.account_info(address) assets = account_info.get("assets") for asset in assets: if asset['asset-id'] == asset_id: amount = asset.get("amount") print("Account {} has {}.".format(address, balance_formatter(amount, asset_id, client))) return print("Account {} must opt-in to Asset ID {}.".format(address, asset_id)) # Creates an unsigned opt-in transaction for the specified asset id and address. # Uses current network params. def optin(passphrase=None): params = client.suggested_params() txn = AssetTransferTxn(sender=receiver_address, sp=params, receiver=receiver_address, amt=0, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) print("Opted in to asset ID: {}".format(asset_id)) else: write_to_file([txns], "optin.txn") from util import balance_formatter # Checks the asset balance for the specific address and asset id. def check_holdings(asset_id, address): account_info = client.account_info(address) assets = account_info.get("assets") for asset in assets: if asset['asset-id'] == asset_id: amount = asset.get("amount") print("Account {} has {}.".format(address, balance_formatter(amount, asset_id, client))) return print("Account {} must opt-in to Asset ID {}.".format(address, asset_id)) # Creates an unsigned transfer transaction for the specified asset id, to the specified address, for the specified amount. def transfer(passphrase=None): amount = 6000 params = client.suggested_params() txn = AssetTransferTxn(sender=creator_address, sp=params, receiver=receiver_address, amt=amount, index=asset_id) if passphrase: txinfo = sign_and_send(txn, passphrase, client) formatted_amount = balance_formatter(amount, asset_id, client) print("Transferred {} from {} to {}".format(formatted_amount, creator_address, receiver_address)) print("Transaction ID Confirmation: {}".format(txinfo.get("tx"))) else: write_to_file([txns], "transfer.txn")

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ptstat/dist/uniform.py

timmyzhao/ptstat

116

86080

import torch from torch.autograd import Variable from ptstat.core import RandomVariable, _to_v # TODO: Implement Uniform(a, b) constructor. class Uniform(RandomVariable): """ Uniform(0, 1) iid rv. """ def __init__(self, size, cuda=False): super(Uniform, self).__init__() assert len(size) == 2, str(size) self._cuda = cuda self._p_size = size def _size(self): return self._p_size def _log_pdf(self, x): return self._entropy() def _sample(self): # TODO: Use CUDA random_ when implemented. y = Variable(torch.FloatTensor(*self._p_size).uniform_()) if self._cuda: y = y.cuda() return y def _entropy(self): return _to_v(0, self._p_size[0], self._cuda)

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migrations/versions/f7570724d06d_increase_length_of_artist_name_column.py

mukul-mehta/C-3PO

34

55320

"""Increase length of artist name column Revision ID: <KEY> Revises: <KEY>8 Create Date: 2020-12-27 00:44:46.286228 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'f<PASSWORD>' down_revision = '<KEY>' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.alter_column('artist', 'name', existing_type=sa.VARCHAR(length=32), type_=sa.String(length=160), existing_nullable=True) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.alter_column('artist', 'name', existing_type=sa.String(length=160), type_=sa.VARCHAR(length=32), existing_nullable=True) # ### end Alembic commands ###

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slam.py

yycho0108/GraphSlam3D

8

119314

<filename>slam.py<gh_stars>1-10 """ GraphSlam 3D Implementation. TODO : support global initialization (initial pose + landmark estimates) """ import numpy as np from utils import qmath_np def block(ar): """ Convert Block Matrix to Dense Matrix """ ni,nj,nk,nl = ar.shape return np.swapaxes(ar, 1, 2).reshape(ni*nk, nj*nl) def unblock(ar, nknl): """ Convert Dense Matrix to Block Matrix """ nk,nl = nknl nink, njnl = ar.shape ni = nink/nk nj = njnl/nl return ar.reshape(ni,nk,nj,nl).swapaxes(1,2) class GraphSlam3(object): def __init__(self, n_l, l=0.0): self._nodes = {} self._n_l = n_l self._lambda = l def add_edge(self, x, i0, i1): n = self._nodes p0, q0 = qmath_np.x2pq(n[i0]) p1, q1 = qmath_np.x2pq(n[i1]) dp, dq = qmath_np.x2pq(x) Aij, Bij, eij = qmath_np.Aij_Bij_eij(p0,p1,dp,q0,q1,dq) return Aij, Bij, eij def initialize(self, x0): n = 2 + self._n_l # [x0,x1,l0...ln] self._H = np.zeros((n,n,6,6), dtype=np.float64) self._b = np.zeros((n,1,6,1), dtype=np.float64) self._H[0,0] = np.eye(6) self._nodes[0] = x0 # TODO : Are the below initializations necessary? #p, q = qmath_np.x2pq(x0) #x = np.concatenate([p,qmath_np.T(q)], axis=-1) #self._b[0,0,:,0] = x def initialize_n(self, x0s): """ Initialize all nodes with estimates """ for (xi, x) in x0s: self._nodes[xi] = x # TODO : implement # TODO : separate out online / offline classes # with shared base that implements add_edge() / add-node() / initialize() # TODO : consider folding initialize_n into initialize by checking if x0 is iterable in [n,7] def step(self, x=None, ox=None, zs=None): """ Online Version """ # " expand " self._H[1,:] = 0.0 self._H[:,1] = 0.0 self._b[1] = 0.0 zis = [] # updates list # apply motion updates first if x is not None: self._nodes[1] = qmath_np.xadd_rel(self._nodes[0], x, T=False) zis.append(1) #zs.append([0, 1, x, ox]) # TODO : incorporate omega_x somehow # simply adding x0->x1 to zs did not work # H and b are organized as (X0, X1, L0, L1, ...) # where X0 is the previous position, and X1 is the current position. # Such that H[0,..] pertains to X0, and so on. # now with observations ... for (z0, z1, z, o) in zs: zis.append(z1) if z1 not in self._nodes: # initial guess self._nodes[z1] = qmath_np.xadd_rel( self._nodes[z0], z, T=False) # no need to compute deltas for initial guesses # (will be zero) continue Aij, Bij, eij = self.add_edge(z, z0, z1) self._H[z0,z0] += Aij.T.dot(o).dot(Aij) self._H[z0,z1] += Aij.T.dot(o).dot(Bij) self._H[z1,z0] += Bij.T.dot(o).dot(Aij) self._H[z1,z1] += Bij.T.dot(o).dot(Bij) self._b[z0] += Aij.T.dot(o).dot(eij) self._b[z1] += Bij.T.dot(o).dot(eij) H00 = block(self._H[:1,:1]) H01 = block(self._H[:1,1:]) H10 = block(self._H[1:,:1]) H11 = block(self._H[1:,1:]) B00 = block(self._b[:1,:1]) B10 = block(self._b[1:,:1]) AtBi = np.matmul(H10, np.linalg.pinv(H00)) XiP = B10 # fold previous information into new matrix H = H11 - np.matmul(AtBi, H01) B = B10 - np.matmul(AtBi, B00) mI = self._lambda * np.eye(*H.shape) # marquardt damping #dx = np.matmul(np.linalg.pinv(H), -B) dx = np.linalg.lstsq(H+mI,-B, rcond=None)[0] dx = np.reshape(dx, [-1,6]) # [x1, l0, ... ln] for i in zis: self._nodes[i] = qmath_np.xadd_abs(self._nodes[i], dx[i-1]) #for i in range(1, 2+self._n_l): # if i in self._nodes: # self._nodes[i] = qmath_np.xadd(self._nodes[i], dx[i-1]) ##dx2 = np.matmul(np.linalg.pinv(block(self._H)), -block(self._b)) #dx2 = np.linalg.lstsq(block(self._H), -block(self._b), rcond=None)[0] #dx2 = np.reshape(dx2, [-1,6]) ##print 'dx2', dx2[1:] #for i in range(0, 2+self._n_l): # self._nodes[i] = qmath_np.xadd(self._nodes[i], dx2[i]) # replace previous node with current position self._nodes[0] = self._nodes[1].copy() H = unblock(H, (6,6)) B = unblock(B, (6,1)) # assign at appropriate places, with x_0 being updated with x_1 self._H[:1,:1] = H[:1,:1] self._H[:1,2:] = H[:1,1:] self._H[2:,:1] = H[1:,:1] self._H[2:,2:] = H[1:,1:] self._b[:1] = B[:1] self._b[2:] = B[1:] x = [self._nodes[k] for k in sorted(self._nodes.keys())] return x def run(self, zs, max_nodes, n_iter=10, tol=1e-4, debug=False): """ Offline version """ n = max_nodes for it in range(n_iter): # iterate 10 times for convergence H = np.zeros((n,n,6,6), dtype=np.float64) b = np.zeros((n,1,6,1), dtype=np.float64) for (z0, z1, z, o) in zs: if z1 not in self._nodes: # add initial guess to node self._nodes[z1] = qmath_np.xadd_rel(self._nodes[z0], z, T=False) Aij, Bij, eij = self.add_edge(z, z0, z1) H[z0,z0] += Aij.T.dot(o).dot(Aij) H[z0,z1] += Aij.T.dot(o).dot(Bij) H[z1,z0] += Bij.T.dot(o).dot(Aij) H[z1,z1] += Bij.T.dot(o).dot(Bij) b[z0] += Aij.T.dot(o).dot(eij) b[z1] += Bij.T.dot(o).dot(eij) H[0,0] += np.eye(6) H = block(H) b = block(b) # solve ... # marquardt - somehow makes it worse or something #mI = self._lambda * np.eye(*H.shape) #dx = np.linalg.lstsq(H+mI,-b, rcond=None)[0] dx = np.linalg.lstsq(H,-b, rcond=None)[0] dx = np.reshape(dx, [-1,6]) # update for i in range(max_nodes): if i in self._nodes: self._nodes[i] = qmath_np.xadd_abs(self._nodes[i], dx[i]) # check convergence delta = np.mean(np.square(dx)) if debug: print('delta', delta) if delta < tol: break x = [self._nodes[k] for k in sorted(self._nodes.keys())] return x

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optimizers.py

ivallesp/awesome-optimizers

37

169050

import numpy as np def run_optimizer(opt, cost_f, iterations, *args, **kwargs): errors = [cost_f.eval(cost_f.x_start, cost_f.y_start)] xs,ys= [cost_f.x_start],[cost_f.y_start] for epochs in range(iterations): x, y= opt.step(*args, **kwargs) xs.append(x) ys.append(y) errors.append(cost_f.eval(x,y)) distance = np.sqrt((np.array(xs)-cost_f.x_optimum)**2 + (np.array(ys)-cost_f.y_optimum)**2) return errors, distance, xs, ys class Optimizer: def __init__(self, cost_f, lr, x, y, **kwargs): self.lr = lr self.cost_f = cost_f if x==None or y==None: self.x = self.cost_f.x_start self.y = self.cost_f.y_start else: self.x = x self.y = y self.__dict__.update(kwargs) def step(self, lr): raise NotImplementedError()

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src/core/lib/errors.py

lilliputten/cam-rpi-server-2202

0

108547

<gh_stars>0 # -*- coding:utf-8 -*- # @module logger # @since 2020.02.23, 02:18 # @changed 2022.02.24, 00:53 import traceback # from . import utils from . import yamlSupport def toString(error, show_stacktrace=False): errorName = type(error).__name__ errorExtra = str(error) # TODO: Add all args? errorArg = str(error.args[0]) if error.args and error.args[0] else '' if errorArg and errorArg != errorExtra: errorExtra += ' (' + errorArg + ')' errorStr = errorName + ': ' + errorExtra stack = traceback.format_exc() if stack and show_stacktrace: errorStr += '\n' + stack return errorStr def toBlockString(error): errorStr = toString(error) return yamlSupport.BlockString(errorStr) __all__ = [ # Exporting objects... 'toString', 'toBlockString', ]

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cgmodsel/base_solver.py

chrlen/cgmodsel

0

109921

# Copyright (c) 2019 <NAME> (<EMAIL>) """ @author: <NAME> base class for CG models and solvers """ import abc from typing import Iterable import numpy as np #from cgmodsel.models.model_base import get_modeltype from cgmodsel.models.model_pwsl import ModelPWSL from cgmodsel.models.model_pw import ModelPW from cgmodsel.utils import grp_soft_shrink, l21norm # pylint: disable=W0511 # todos # pylint: disable=R0914 # too many locals DUMMY = 'dummy' DUMMY_RED = 'dummy_red' INDEX = 'index' FLAT = 'flat' def set_sparsity_weights(meta, cat_data, cont_data): """ use adjusted weights for all groups as suggested by LST2015 (may be essential for "good", "consistent" results)""" n_data = meta['n_data'] n_cg = meta['n_cg'] n_cat = meta['n_cat'] dim = n_cg + n_cat # CG variables mus = cont_data.sum(axis=0) / n_data sigmas_cg = np.sqrt((cont_data**2).sum(axis=0) / n_data - mus**2) # categoricals sigmas_cat = np.empty(n_cat) freqs = cat_data.sum(axis=0) / n_data for r in range(n_cat): sigma_r = 0 for k in range(meta['sizes'][r]): p_xr_k = freqs[meta['cat_glims'][r] + k] # relative probability that x_r has value k sigma_r += p_xr_k * (1 - p_xr_k) sigmas_cat[r] = np.sqrt(sigma_r) weights = np.zeros((dim, dim)) for r in range(n_cat): for j in range(r): weights[r, j] = sigmas_cat[r] * sigmas_cat[j] for s in range(n_cg): weights[n_cat + s, r] = sigmas_cat[r] * sigmas_cg[s] for j in range(n_cg): for i in range(j): weights[n_cat + j, n_cat + i] = sigmas_cg[j] * sigmas_cg[i] weights += weights.T # TODO(franknu): weights on diagonal return weights ############################################################################### # base class for all CG model solvers ############################################################################### class BaseCGSolver(abc.ABC): """ base class for all CG model solver provides external interface to drop data along with meta information about this data """ def __init__(self): """must call method drop_data after initialization""" super().__init__() self.cat_data = None # discrete data, dropped later self.cat_format_required = None # must override self.cont_data = None # continuous data, dropped later # self.problem_vars = None #TODO(franknu) self.meta = {'n_data': 0} if not hasattr(self, 'opts'): # since this may already be defined from other base classes self.opts = {} self.name = 'base' def _postsetup_data(self): """called after drop_data""" # may be overridden in derived classes # no pass because function has doc string def drop_data(self, data, meta: dict) -> None: """drop data, derived classes may perform additional computations uses and augments information contained in meta about the data categorical data must be provided in dummy-encoded form (leaving out 0-th levels if required by the solver)""" # process argument data if isinstance(data, tuple): assert len(data) == 2 cat_data, cont_data = data else: counter = 0 if 'n_cat' in meta and meta['n_cat'] > 0: counter += 1 cat_data = data cont_data = np.empty((data.shape[0], 0)) if 'n_cg' in meta and meta['n_cg'] > 0: counter += 1 cont_data = data cat_data = np.empty((data.shape[0], 0)) assert counter == 1, 'dictionary meta incompatible with provided data' self.cont_data = cont_data self.cat_data = cat_data self.meta = {} for key in ('n_cg', 'n_cat'): if key in meta: self.meta[key] = meta[key] else: meta[key] = 0 if self.meta['n_cat'] > 0: assert 'sizes' in meta assert len(meta['sizes']) == meta['n_cat'] self.meta['sizes'] = meta['sizes'] # continue checking validity of meta if self.meta['n_cg'] > 0: assert not np.any(np.isnan(cont_data)) assert meta['n_cg'] == cont_data.shape[1] self.meta['n_data'] = cont_data.shape[0] if self.meta['n_cat'] == 0: self.meta['sizes'] = [] # no discrete variables self.meta['ltot'] = 0 self.meta['red_levels'] = False # value irrelevant, no cat vars self.meta['cat_glims'] = [0] else: if 'n_data' in self.meta: assert self.meta['n_data'] == cat_data.shape[0] else: self.meta['n_data'] = cat_data.shape[0] ltot = np.sum(meta['sizes']) if self.cat_format_required == DUMMY: assert ltot == cat_data.shape[1] # 0-th levels of the discrete data are contained # for identifiability, assume that corresponding # parameters are constrained to zero self.meta['red_levels'] = False elif self.cat_format_required == DUMMY_RED: assert ltot - meta['n_cat'] == cat_data.shape[1] # assume that 0-th levels are left out in discrete data # assures identifiability of the model self.meta['red_levels'] = True self.meta['sizes'] = [size - 1 for size in meta['sizes']] elif self.cat_format_required == INDEX: assert meta['n_cat'] == cat_data.shape[1] elif self.cat_format_required == FLAT: # MAP solver assert len(cat_data.shape) == 1 else: raise Exception('invalid self.cat_format_required') if self.cat_format_required in (DUMMY, DUMMY_RED): self.meta['ltot'] = cat_data.shape[1] self.meta['dim'] = self.meta['ltot'] + self.meta['n_cg'] # calculate cumulative # of levels/ group delimiters self.meta['cat_glims'] = np.cumsum([0] + self.meta['sizes']) self.meta['glims'] = list(self.meta['cat_glims']) + \ [1 + self.meta['ltot'] + s for s in range(self.meta['n_cg'])] # TODO(franknu): self.meta['glims'] for sparse reg only self.meta['nonbinary'] = (self.meta['ltot'] > self.meta['n_cat'] * (2 - self.meta['red_levels'])) self.meta['n_catcg'] = self.meta['n_cat'] + self.meta['n_cg'] # self.meta['type'] = get_modeltype(self.n_cat, self.n_cg, self.sizes) # fac = np.log(self.meta['n_cg'] + self.meta['n_cat']) fac = np.sqrt(np.log(self.meta['n_catcg']) / self.meta['n_data']) self.meta['reg_fac'] = fac # potentially used as prescaling factor # for regularization parameters self._postsetup_data() def get_name(self): """return model name""" return self.name class BaseSparseSolver(BaseCGSolver): """ base class that contains proximal operators """ def __init__(self, useweights=False): super().__init__() self.opts.setdefault('off', 0) # if 1 regularize only off-diagonal # model options # TODO(franknu): find better place self.opts.setdefault('use_alpha', 1) self.opts.setdefault('use_u', 1) self.useweights = useweights self.weights = None self.name = 'base-sparse' def _postsetup_data(self): """called after drop_data""" if self.useweights: self.weights = set_sparsity_weights(self.meta, self.cat_data, self.cont_data) else: self.weights = None def shrink(self, mat_s, tau): """return (group)- soft shrink of matrix mat_s with tau """ if self.meta['nonbinary']: return grp_soft_shrink(mat_s, tau, self.meta['n_cat'] + self.meta['n_cg'], self.meta['glims'], self.opts['off'], weights=self.weights) return grp_soft_shrink(mat_s, tau, off=self.opts['off'], weights=self.weights) def sparse_norm(self, mat_s): """return l21/ l1-norm of mat_s""" if self.meta['nonbinary']: return l21norm(mat_s, self.meta['n_cat'] + self.meta['n_cg'], self.meta['glims'], self.opts['off'], weights=self.weights) return l21norm(mat_s, off=self.opts['off'], weights=self.weights) class BaseGradSolver(abc.ABC): """ Base solver for iterative (scipy L-BFGS-B) solvers provides with methods to pack/unpack parameters into vector """ def __init__(self): # print('Init BaseCGSolver') super().__init__() self.shapes = None self.n_params = None # self.problem_vars = None if not hasattr(self, 'opts'): # should already be defined by other class self.opts = {} self._set_defaults() def _set_defaults(self): """default solver options""" self.opts.setdefault('verb', 1) # write output ## objective variants self.opts.setdefault('use_alpha', 1) # use univariate cts parameters? self.opts.setdefault('use_u', 1) # use univariate discrete parameters? self.opts.setdefault('off', 0) # if 1 regularize only off-diagonal ## stopping criteria and tolerancies # self.opts.setdefault('abstol', 1e-5) # self.opts.setdefault('reltol', 1e-5) self.opts.setdefault('tol', 1e-12) self.opts.setdefault('maxiter', 500) # self.opts.setdefault('useweights', False) # self.opts.setdefault('maxrank', -1) # @abc.abstractmethod # def get_bounds(self): # """get bounds""" # raise NotImplementedError # deferred to BaseHuber class @abc.abstractmethod def get_fval_and_grad(self, optvars, verb=0, **kwargs): """calculate function value and gradient for solver""" raise NotImplementedError def get_params(self, optvars): """a function to display the problem parameters""" params = self.unpack(optvars) for i, param in enumerate(params): print('%s:\n' % self.shapes[i][0], param) return params def pack(self, components): """pack (typically) gradients into vector x""" grad = np.empty(self.n_params) offset = 0 for i, component in enumerate(components): size = np.prod(self.shapes[i][1]) # print(self.shapes[i][0], size, np.prod(component.shape)) assert size == np.prod(component.shape) grad[offset:offset + size] = component.flatten() # row-wise offset += size return grad def unpack(self, x) -> Iterable[np.ndarray]: """unpack model parameters from vector x, save: returns copy""" offset = 0 params = [] xcopy = x.copy() # allows modifying the copy without modifying x for _, shapedim in self.shapes: tmp = np.prod(shapedim) params.append(xcopy[offset:offset + tmp].reshape(shapedim)) offset += tmp return params class BaseSolverSL(BaseSparseSolver): """ base class for S+L model solvers """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.alpha, self.beta = None, None self.lbda, self.rho = None, None self.problem_vars = None def __str__(self): string = '<ADMMsolver> la=%s' % (self.lbda) + ', rho=%s' % (self.rho) string += ', alpha=%s' % (self.alpha) + ', beta=%s' % (self.beta) string += ', use_alpha=%d' % (self.opts.setdefault('use_alpha', 1)) string += ', use_u=%d' % (self.opts.setdefault('use_u', 1)) string += ', off=%d' % (self.opts.setdefault('off', 1)) return string def get_canonicalparams(self): """Retrieves the PW S+L CG model parameters from flat parameter vector. output: Model_PWSL instance""" mat_s, mat_l, alpha = self.problem_vars ltot = self.meta['ltot'] mat_lambda = -mat_s[ltot:, ltot:] # cts-cts parameters # have negative sign in CG pairwise interaction parameter matrix if self.meta['n_cat'] > 0: glims = self.meta['cat_glims'] sizes = self.meta['sizes'] mat_q = mat_s[:ltot, :ltot] mat_r = mat_s[ltot:, :ltot] vec_u = 0.5 * np.diag(mat_q).copy().reshape(ltot) for r in range(self.meta['n_cat']): # set block-diagonal to zero mat_q[glims[r]:glims[r+1], glims[r]:glims[r+1]] = \ np.zeros((sizes[r], sizes[r])) if self.meta['red_levels']: fullsizes = [size + 1 for size in sizes] else: fullsizes = sizes else: mat_q = np.empty(0) mat_r = np.empty(0) vec_u = np.empty(0) fullsizes = [] can_pwsl = vec_u, mat_q, mat_r, alpha, mat_lambda, mat_l annotations = { 'n': self.meta['n_data'], 'lambda': self.lbda, 'rho': self.rho } meta = { 'n_cat': self.meta['n_cat'], 'n_cg': self.meta['n_cg'], 'sizes': fullsizes } return ModelPWSL(can_pwsl, meta, annotations=annotations, in_padded=False) def get_regularization_params(self): """get regularization parameters""" return self.lbda, self.rho def set_regularization_params(self, hyperparams, scales=None, set_direct=False, ptype: str = 'std') -> None: """set regularization parameters hyperparams ... pair of regularization parameters ptype ... if 'std', set lambda, rho = hyperparams * scaling(n, nvars), where the parameters are for the problem min l(S-L) + lambda * ||S||_1 + rho * tr(L) s.t. S-L>0, L>=0 Here, scaling(n, nvars) is a scaling suggested by consistency results Argument <scales> is not used in this case! if 'direct', directly set lambda, rho = hyperparams if 'convex' assume that alpha, beta = hyperparams and alpha, beta are weights in [0,1] and the problem is min (1-alpha-beta) * l(S-L) + alpha * ||S||_1 + beta * tr(L) s.t. S-L>0, L>=0 In addition to the specified regularization parameters, the regularization parameters can be scaled by a fixed value (depending on the number of data points and variables): scales ... if None, use standard scaling np.sqrt(log(dg)/n) else scales must be a two-tuple, and lambda and rho are scaled according to the elements of this two-tuple """ assert len(hyperparams) == 2 assert hyperparams[0] >= 0 and hyperparams[1] >= 0 if ptype == 'std': # standard regularization parameters # first for l21, second for nuclear norm self.lbda, self.rho = hyperparams elif ptype == 'convex': alpha, beta = hyperparams # assert alpha + beta <= 1 assert alpha + beta < 1, "must contain likelihood part" self.alpha = alpha self.beta = beta denom = 1 - alpha - beta if denom != 0: self.lbda = alpha / denom self.rho = beta / denom # else: # # no likelihood part # self.lbda, self.rho = 0, 0 else: raise Exception('unknown ptype') if not set_direct: if not scales is None: scale_lbda, scale_rho = scales else: assert self.meta['n_data'] > 0, \ "data-dependent scaling, drop data first" # calculate prescaling factor for the regularization parameters # based on consistency analysis by Chandrasekaran et. al (2010) # assert 'reg_fac' in self.meta scale_lbda = self.meta['reg_fac'] scale_rho = self.meta['reg_fac'] self.lbda *= scale_lbda self.rho *= scale_rho class BaseSolverPW(BaseSparseSolver): """ base class for sparse graphical model solvers """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.alpha = None self.lbda = None self.problem_vars = None def __str__(self): string = '<ADMMsolver> la=%s' % (self.lbda) string += ', use_alpha=%d' % (self.opts.setdefault('use_alpha', 1)) string += ', use_u=%d' % (self.opts.setdefault('use_u', 1)) string += ', off=%d' % (self.opts.setdefault('off', 1)) return string def get_canonicalparams(self): """Retrieves the PW CG model parameters from flat parameter vector. output: Model_PW instance""" mat_s, alpha = self.problem_vars ltot = self.meta['ltot'] mat_lambda = -mat_s[ltot:, ltot:] # cts-cts parameters # have negative sign in CG pairwise interaction parameter matrix if self.meta['n_cat'] > 0: glims = self.meta['cat_glims'] sizes = self.meta['sizes'] mat_q = mat_s[:ltot, :ltot] mat_r = mat_s[ltot:, :ltot] vec_u = 0.5 * np.diag(mat_q).copy().reshape(ltot) for r in range(self.meta['n_cat']): # set block-diagonal to zero mat_q[glims[r]:glims[r+1], glims[r]:glims[r+1]] = \ np.zeros((sizes[r], sizes[r])) if self.meta['red_levels']: fullsizes = [size + 1 for size in sizes] else: fullsizes = sizes else: mat_q = np.empty(0) mat_r = np.empty(0) vec_u = np.empty(0) fullsizes = [] can_params = vec_u, mat_q, mat_r, alpha, mat_lambda annotations = { 'n': self.meta['n_data'], 'lambda': self.lbda, } meta = { 'n_cat': self.meta['n_cat'], 'n_cg': self.meta['n_cg'], 'sizes': fullsizes } return ModelPW(can_params, meta, annotations=annotations, in_padded=False) def get_regularization_params(self): """get regularization parameters""" return self.lbda def set_regularization_params(self, regparam, set_direct=False, scale=None, ptype='std'): """set regularization parameters for min l(S) + la*||S||_{2/1} hyperparams ... pair of regularization parameters ptype ... if 'std', set lambda = regparam * scaling(n, nvars), where Here, scaling(n, nvars) is a scaling suggested by consistency results Argument <scales> is not used in this case! if 'direct', directly set lambda = regparam if 'convex' assume that alpha = regparam and min_S (1-alpha) * l(S) + alpha * ||S||_ {2,1} In addition to the specified regularization parameter, the regularization parameters can be scaled by a fixed value (depending on the number of data points and variables): scales ... if None, use standard scaling np.sqrt(log(dg)/n) else scales must be a nonnegative number with which lambda is scaled """ if ptype == 'std': # standard regularization parameter for l21-norm self.lbda = regparam elif ptype == 'convex': # convex hyperparams are assumed self.alpha = regparam assert self.alpha < 1, "must contain likelihood part" denom = 1 - self.alpha if denom != 0: self.lbda = self.alpha/denom else: self.lbda = 0 else: raise Exception('unknown ptype') if not set_direct: if scale is None: assert self.meta['n_data'] > 0, \ "data-dependent scaling, drop data first" scale = self.meta['reg_fac'] self.lbda *= scale

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temporalio/bridge/proto/external_data/external_data_pb2.py

cretz/temporal-sdk-python

55

1618002

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: temporal/sdk/core/external_data/external_data.proto """Generated protocol buffer code.""" from google.protobuf import descriptor as _descriptor from google.protobuf import descriptor_pool as _descriptor_pool from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import duration_pb2 as google_dot_protobuf_dot_duration__pb2 from google.protobuf import timestamp_pb2 as google_dot_protobuf_dot_timestamp__pb2 DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile( b'\n3temporal/sdk/core/external_data/external_data.proto\x12\x15\x63oresdk.external_data\x1a\x1egoogle/protobuf/duration.proto\x1a\x1fgoogle/protobuf/timestamp.proto"\xfe\x01\n\x17LocalActivityMarkerData\x12\x0b\n\x03seq\x18\x01 \x01(\r\x12\x0f\n\x07\x61ttempt\x18\x02 \x01(\r\x12\x13\n\x0b\x61\x63tivity_id\x18\x03 \x01(\t\x12\x15\n\ractivity_type\x18\x04 \x01(\t\x12\x31\n\rcomplete_time\x18\x05 \x01(\x0b\x32\x1a.google.protobuf.Timestamp\x12*\n\x07\x62\x61\x63koff\x18\x06 \x01(\x0b\x32\x19.google.protobuf.Duration\x12:\n\x16original_schedule_time\x18\x07 \x01(\x0b\x32\x1a.google.protobuf.Timestampb\x06proto3' ) _LOCALACTIVITYMARKERDATA = DESCRIPTOR.message_types_by_name["LocalActivityMarkerData"] LocalActivityMarkerData = _reflection.GeneratedProtocolMessageType( "LocalActivityMarkerData", (_message.Message,), { "DESCRIPTOR": _LOCALACTIVITYMARKERDATA, "__module__": "temporal.sdk.core.external_data.external_data_pb2" # @@protoc_insertion_point(class_scope:coresdk.external_data.LocalActivityMarkerData) }, ) _sym_db.RegisterMessage(LocalActivityMarkerData) if _descriptor._USE_C_DESCRIPTORS == False: DESCRIPTOR._options = None _LOCALACTIVITYMARKERDATA._serialized_start = 144 _LOCALACTIVITYMARKERDATA._serialized_end = 398 # @@protoc_insertion_point(module_scope)

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lantz/drivers/newport/__init__.py

noelniles/lantz

88

146796

# -*- coding: utf-8 -*- """ lantz.drivers.newport ~~~~~~~~~~~~~~~~~~~~~ :company: Newport. :description: Test and Measurement Equipment. :website: http://www.newport.com/ --- :copyright: 2015 by Lantz Authors, see AUTHORS for more details. :license: BSD, """ from .powermeter1830c import PowerMeter1830c __all__ = ['PowerMeter1830c']

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covid_xrays/tests/test_client.py

hosamshahin/covid_xrays

1

119212

<gh_stars>1-10 import json from base64 import b64encode from app.models.users import User from app.models.logs import Log import pytest def get_api_headers(username, password): return { 'Authorization': 'Basic ' + b64encode( (username + ':' + password).encode('utf-8')).decode('utf-8'), 'Accept': 'application/json', 'Content-Type': 'application/json' } def test_404(flask_test_client): response = flask_test_client.get('/wrong/url') assert response.status_code == 404 assert r'Not Found' in response.get_data(as_text=True) def test_home(flask_test_client): response = flask_test_client.get('/') assert response.status_code == 200 def test_ml_datasets_app(flask_test_client): response = flask_test_client.get('/ml_datasets', follow_redirects=True) assert response.status_code == 200 def test_reaction_dataset_app(flask_test_client): response = flask_test_client.get('/covid_form', follow_redirects=True) assert response.status_code == 200

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scripts/imdb_precompute_test.py

jovialio/visualDet3D

250

173932

from copy import deepcopy import torch import cv2 import time import pickle import os import numpy as np import ctypes from _path_init import * from visualDet3D.utils.timer import Timer from visualDet3D.utils.utils import cfg_from_file from visualDet3D.data.kitti.kittidata import KittiData def read_one_split(cfg, index_names, data_root_dir, output_dict, data_split='training', time_display_inter=100): N = len(index_names) frames = [None] * N print("start reading {} data".format(data_split)) timer = Timer() for i, index_name in enumerate(index_names): # read data with dataloader api data_frame = KittiData(data_root_dir, index_name, output_dict) calib, _, _, _ = data_frame.read_data() # store the list of kittiObjet and kittiCalib data_frame.calib = calib frames[i] = data_frame if (i+1) % time_display_inter == 0: avg_time = timer.compute_avg_time(i+1) eta = timer.compute_eta(i+1, N) print("{} iter:{}/{}, avg-time:{}, eta:{}".format( data_split, i+1, N, avg_time, eta), end='\r') save_dir = os.path.join(cfg.path.preprocessed_path, data_split) if not os.path.isdir(save_dir): os.makedirs(save_dir) pkl_file = os.path.join(save_dir, 'imdb.pkl') pickle.dump(frames, open(pkl_file, 'wb')) print("{} split finished precomputing".format(data_split)) def main(config="config/config.py"): cfg = cfg_from_file(config) torch.cuda.set_device(cfg.trainer.gpu) time_display_inter = 100 # define the inverval displaying time consumed in loop data_root_dir = cfg.path.test_path # the base directory of training dataset calib_path = os.path.join(data_root_dir, 'calib') list_calib = os.listdir(calib_path) N = len(list_calib) # no need for image, could be modified for extended use output_dict = { "calib": True, "image": False, "label": False, "velodyne": False, } num_test_file = N test_names = ["%06d" % i for i in range(num_test_file)] read_one_split(cfg, test_names, data_root_dir, output_dict, 'test', time_display_inter) print("Preprocessing finished") if __name__ == '__main__': from fire import Fire Fire(main)

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network_crawler/__main__.py

luigi-riefolo/network_crawler

0

151773

"""Main stub."""

[ 1, 9995, 6330, 19281, 1213, 15945, 13, 2 ]

tests/ssim/ssim_test.py

XanderStaal/ganslate

0

56541

""" 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. Changes made: window is now 3D with size (1, 1, win_size, win_size, win_si`ze) All convolutions for mean and variance comp. are 3D Conv """ import torch from torch import nn import torch.nn.functional as F class SSIMLoss(nn.Module): """ SSIM loss module. """ def __init__(self, win_size: int = 7, k1: float = 0.01, k2: float = 0.03): """ Args: win_size: Window size for SSIM calculation. k1: k1 parameter for SSIM calculation. k2: k2 parameter for SSIM calculation. """ super().__init__() self.win_size = win_size self.k1, self.k2 = k1, k2 NP = win_size**2 self.cov_norm = NP / (NP - 1) def forward(self, X: torch.Tensor, Y: torch.Tensor, data_range: torch.Tensor): input_dimension = X.ndim - 2 if input_dimension == 2: conv = F.conv2d window_size = (self.win_size, self.win_size) elif input_dimension == 3: conv = F.conv3d window_size = (self.win_size, self.win_size, self.win_size) else: raise f"Unsupported dim {input_dimension} for provided input" if not hasattr(self, "w"): self.register_buffer("w", torch.ones(1, 1, *window_size) / self.win_size**2) data_range = data_range[:, None, None, None] C1 = (self.k1 * data_range)**2 C2 = (self.k2 * data_range)**2 ux = conv(X, self.w) # typing: ignore uy = conv(Y, self.w) # uxx = conv(X * X, self.w) uyy = conv(Y * Y, self.w) uxy = conv(X * Y, self.w) vx = self.cov_norm * (uxx - ux * ux) vy = self.cov_norm * (uyy - uy * uy) vxy = self.cov_norm * (uxy - ux * uy) A1, A2, B1, B2 = ( 2 * ux * uy + C1, 2 * vxy + C2, ux**2 + uy**2 + C1, vx + vy + C2, ) D = B1 * B2 S = (A1 * A2) / D return 1 - S.mean() if __name__ == "__main__": import SimpleITK as sitk import numpy as np from torchvision.utils import save_image from scipy.ndimage.filters import gaussian_filter as blur MIN_B = -1000 MAX_B = 2000 img_a = sitk.ReadImage('/repos/Maastro/nki_cervix/train/21403922/CT/0/CT.nrrd') img_b = sitk.ReadImage('/repos/Maastro/nki_cervix/train/21403922/CT/0/CT.nrrd') array_a = np.clip(sitk.GetArrayFromImage(img_a), MIN_B, MAX_B) - MIN_B array_b = np.clip(sitk.GetArrayFromImage(img_b), MIN_B, MAX_B) - MIN_B # array_a = (array_a - MIN_B) / (MAX_B - MIN_B) # array_b = (array_b - MIN_B) / (MAX_B - MIN_B) tensor_a = torch.Tensor(array_a).unsqueeze(dim=0).unsqueeze(dim=0) tensor_b = torch.Tensor(array_b).unsqueeze(dim=0).unsqueeze(dim=0) print(f"Tensor A max: {tensor_a.max()} min: {tensor_a.min()}") print(f"Tensor B max: {tensor_b.max()} min: {tensor_b.min()}") ssim = SSIMLoss() ssim_val = ssim(tensor_a, tensor_b, data_range=torch.full((1, 1, 1, 1), tensor_a.max())) print(f"Calculated SSIM Value is : {ssim_val}")

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imagepy/menus/Plugins/Manager/console_wgt.py

cycleuser/imagepy

1

25337

# -*- coding: utf-8 -*- import wx from wx.py.shell import Shell import scipy.ndimage as ndimg import numpy as np # from imagepy import IPy from imagepy.core.engine import Free from sciapp import Source cmds = {'app':'app', 'np':np, 'ndimg':ndimg, 'update':None, 'get_img':None} class Macros(dict): def __init__(self): for i in Source.manager('plugin').names(): if not isinstance(i, str) or i == 'Command Line': #print(PluginsManager.plgs[i]) continue name = ''.join(list(filter(str.isalnum, i))) exec("self.run_%s = lambda para=None, plg=Source.manager('plugin').get(i):plg().start(cmds['app'], para)"%name) class Plugin(wx.Panel): title = 'Command Line' single = None def __init__(self, parent): wx.Panel.__init__ ( self, parent, id = wx.ID_ANY, pos = wx.DefaultPosition, size = wx.Size( 500,300 ), style = wx.DEFAULT_FRAME_STYLE|wx.TAB_TRAVERSAL ) cmds['app'] = parent cmds['get_img'] = lambda name=None, app=self: self.app.get_img() cmds['update'] = lambda app=self: self.app.get_img().update() shell = Shell(self, locals=cmds) bSizer = wx.BoxSizer( wx.VERTICAL ) bSizer.Add( shell, 1, wx.EXPAND|wx.ALL, 5 ) self.SetSizer(bSizer) cmds['plgs'] = Macros() shell.run('# plgs.run_name() to call a ImagePy plugin.\n') shell.run('# app is avalible here, and get_img() to get the current ImagePlus, update() to redraw.\n')

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kaggle_cat-in-the-dat.py

ak110/applications

0

140022

#!/usr/bin/env python3 """Categorical Feature Encoding Challengeの実験用コード。""" import pathlib import numpy as np import pandas as pd import sklearn.metrics import pytoolkit as tk nfold = 5 params = { "objective": "binary", "metric": "auc", "learning_rate": 0.01, "nthread": -1, # "verbosity": -1, # "max_bin": 511, # "num_leaves": 31, # "min_data_in_leaf": 10, "feature_fraction": "sqrt", "bagging_freq": 0, # "max_depth": 4, } seeds = np.arange(5) + 1 # split_seeds = np.arange(5) + 1 data_dir = pathlib.Path("data/kaggle_cat-in-the-dat") models_dir = pathlib.Path(f"models/{pathlib.Path(__file__).stem}") app = tk.cli.App(output_dir=models_dir) logger = tk.log.get(__name__) @app.command() def train(): train_set = load_train_data() folds = tk.validation.split(train_set, nfold, split_seed=1) create_model().cv(train_set, folds) validate() @app.command() def validate(): train_set = load_train_data() folds = tk.validation.split(train_set, nfold, split_seed=1) model = create_model().load() oofp = model.predict_oof(train_set, folds) tk.notifications.post_evals( {"auc": sklearn.metrics.roc_auc_score(train_set.labels, oofp)} ) predict() @app.command() def predict(): # TODO: ValueError: Unknown values in column 'nom_8': {'2be51c868', '1f0a80e1d', 'ec337ce4c', 'a9bf3dc47'} test_set = load_test_data() model = create_model().load() pred = model.predict(test_set) df = pd.DataFrame() df["id"] = test_set.ids df["target"] = pred df.to_csv(models_dir / "submission.csv", index=False) def load_train_data(): df = pd.read_csv(data_dir / "train.csv") return _preprocess(df) def load_test_data(): df = pd.read_csv(data_dir / "test.csv") return _preprocess(df) def _preprocess(df): df["bin_0"] = tk.preprocessing.encode_binary(df["bin_0"], 1, 0) df["bin_1"] = tk.preprocessing.encode_binary(df["bin_1"], 1, 0) df["bin_2"] = tk.preprocessing.encode_binary(df["bin_2"], 1, 0) df["bin_3"] = tk.preprocessing.encode_binary(df["bin_3"], "T", "F") df["bin_4"] = tk.preprocessing.encode_binary(df["bin_4"], "Y", "N") df["ord_1"] = tk.preprocessing.encode_ordinal( df["ord_1"], ["Novice", "Contributor", "Expert", "Master", "Grandmaster"] ) df["ord_2"] = tk.preprocessing.encode_ordinal( df["ord_2"], ["Freezing", "Cold", "Warm", "Hot", "Boiling Hot", "Lava Hot"] ) df["ord_3"] = df["ord_3"].map(ord).astype(np.int32) df["ord_4"] = df["ord_4"].map(ord).astype(np.int32) df["ord_5"] = ( df["ord_5"].apply(lambda s: ord(s[0]) * 255 + ord(s[1])).astype(np.int32) ) df[["day_sin", "day_cos"]] = tk.preprocessing.encode_cyclic(df["day"], 1, 7 + 1) df[["month_sin", "month_cos"]] = tk.preprocessing.encode_cyclic( df["month"], 1, 12 + 1 ) if "target" in df.columns.values: return tk.data.Dataset( data=df.drop(columns=["target"]), labels=df["target"].values ) else: return tk.data.Dataset(data=df) def create_model(): return tk.pipeline.LGBModel( params=params, nfold=nfold, models_dir=models_dir, seeds=seeds, preprocessors=[tk.preprocessing.FeaturesEncoder()], ) if __name__ == "__main__": app.run(default="train")

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src/python/pymm/memoryresource.py

IBM/artemis

0

199388

<reponame>IBM/artemis # # Copyright [2021] [IBM Corporation] # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # http://www.apache.org/licenses/LICENSE-2.0 # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # import pymmcore import os from .metadata import * from .check import methodcheck, paramcheck class TxHandler: ''' Transaction handler for persistent memory ''' def __init__(self, name:str, memory_view:memoryview, memory_resource: pymmcore.MemoryResource): self.name = name self.memory_view = memory_view self.memory_resource = memory_resource self.tx_log = [] # undo log def tx_add(self): #pymmcore.valgrind_trigger(1) self.__tx_add_undocopy() def tx_begin(self): #pymmcore.valgrind_trigger(1) self.__tx_add_undocopy() def tx_commit(self): #pymmcore.valgrind_trigger(2) self.__tx_commit_undocopy() def __tx_add_undocopy(self): ''' Start consistent transaction (very basic copy-off undo-log) ''' name = self.name + '-' + str(len(self.tx_log)) + '-tx' (tx_handle, mem) = self.memory_resource._MemoryResource_create_named_memory(name, len(self.memory_view)) if tx_handle is None: raise RuntimeError('tx_begin failed') self.tx_log.append((tx_handle, name)) # copy data, then persist mem[:]= self.memory_view self.memory_resource._MemoryResource_persist_memory_view(self.memory_view) print('tx_begin: copy of {}:{} to ({}, {})' .format(hex(pymmcore.memoryview_addr(self.memory_view)), len(self.memory_view), name, hex(pymmcore.memoryview_addr(mem)))) def __tx_commit_undocopy(self): ''' Commit consistent transaction ''' for tx_entry in self.tx_log: self.memory_resource.release_named_memory_by_handle(tx_entry[0]) self.memory_resource.erase_named_memory(tx_entry[1]) self.tx_log = [] print('tx_commit OK!') class MemoryReference(): ''' MemoryReference represents a contiguous region of memory associated with a variable value or metadata region ''' def __init__(self, internal_handle, memory_resource, memview, name, tx_handler: TxHandler): self.handle = internal_handle self.mr = memory_resource self.buffer = memview self.varname = name self.tx_handler = tx_handler if os.getenv('PYMM_DEBUG') != None: self._debug_level = int(os.getenv('PYMM_DEBUG')) else: self._debug_level = 0 if os.getenv('PYMM_USE_SW_TX') != None: self._use_sw_tx = (int(os.getenv('PYMM_USE_SW_TX')) > 0) else: self._use_sw_tx = False def __del__(self): if self._debug_level > 0: print("releasing named memory {} @ {}".format(self.varname, hex(pymmcore.memoryview_addr(self.buffer)))) self.persist() self.mr.release_named_memory_by_handle(self.handle) def addr(self): ''' For debugging. Get address of memory view ''' return (hex(pymmcore.memoryview_addr(self.buffer)), len(self.buffer)) def tx_begin(self, value_named_memory=None, check=True): ''' Add region of memory to transaction. This is called on metadata named memory, and passed the value named memory if it exists (i.e. if it is not contiguous) ''' if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) # sanity check - but not fool proof! if check: hdr = construct_header_from_buffer(self.buffer) if metadata_check_tx_bit(hdr, TXBIT_DIRTY): return # nested, don't do anything else: hdr = construct_header_on_buffer(self.buffer) metadata_set_dirty_tx_bit(hdr) if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_begin(value_named_memory) def tx_commit(self, value_named_memory=None): ''' Commit transaction for variable ''' hdr = construct_header_from_buffer(self.buffer) # if we are in a multi-variable transaction, then delay commit if metadata_check_tx_bit(hdr, TXBIT_MULTIVAR): return self.persist() if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) value_named_memory.persist() metadata_clear_dirty_tx_bit(hdr) if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_commit(value_named_memory) def tx_multivar_commit(self, value_named_memory=None): ''' Commit variable as part of multi-variable transaction ''' hdr = construct_header_from_buffer(self.buffer) hdr.version += 1 # we might not have dirtied the memory if not metadata_check_dirty_tx_bit(hdr): metadata_clear_tx_bit(hdr, TXBIT_MULTIVAR | TXBIT_DIRTY) return # dirty bit is set if self._use_sw_tx: # optional undo logging hook self.tx_handler.tx_commit(value_named_memory) if value_named_memory != None: assert isinstance(value_named_memory, MemoryReference) value_named_memory.persist() metadata_clear_tx_bit(hdr, TXBIT_MULTIVAR | TXBIT_DIRTY) def persist(self): ''' Flush any cached memory (normally for persistence) ''' self.mr._MemoryResource_persist_memory_view(self.buffer) def persist_offset(self, offset_bytes, len_bytes): ''' Flush region of cached memory (normally for persistence) ''' if offset_bytes + len_bytes > len(self.buffer): raise RuntimeError('persist_offset: invalid offset parameter') self.mr._MemoryResource_persist_memory_view(self.buffer[offset_bytes:offset_bytes+len_bytes]) class MemoryResource(pymmcore.MemoryResource): ''' MemoryResource represents a heap allocator and physical memory resources. It is backed by an MCAS store component and corresponds to a pool. ''' def __init__(self, name, size_mb, pmem_path, load_addr, backend=None, mm_plugin=None, force_new=False): self._named_memory = {} if os.getenv('PYMM_DEBUG') != None: debug_level = int(os.getenv('PYMM_DEBUG')) else: debug_level = 0 super().__init__(pool_name=name, size_mb=size_mb, pmem_path=pmem_path, load_addr=load_addr, backend=backend, mm_plugin=mm_plugin, force_new=force_new, debug_level=debug_level) # todo check for outstanding transactions all_items = super()._MemoryResource_get_named_memory_list() recoveries = [val for val in all_items if val.endswith('-tx')] if len(recoveries) > 0: raise RuntimeError('detected outstanding undo log condition: recovery not yet implemented') @methodcheck(types=[]) def list_items(self): all_items = super()._MemoryResource_get_named_memory_list() # exclude values return [val for val in all_items if not val.endswith('-value')] @methodcheck(types=[str,int,int,bool]) def create_named_memory(self, name, size, alignment=256, zero=False): ''' Create a contiguous piece of memory and name it ''' (handle, mview) = super()._MemoryResource_create_named_memory(name, size, alignment, zero) if handle == None: return None return MemoryReference(handle, self, mview, name, TxHandler(name, mview, self)) @methodcheck(types=[str]) def open_named_memory(self, name): ''' Open existing named memory ''' (handle, mview) = super()._MemoryResource_open_named_memory(name) if handle == None: return None return MemoryReference(handle, self, mview, name, TxHandler(name, mview, self)) @methodcheck(types=[MemoryReference]) def release_named_memory(self, ref : MemoryReference): ''' Release a contiguous piece of memory (i.e. unlock) ''' super()._MemoryResource_release_named_memory(ref.handle) @methodcheck(types=[int]) def release_named_memory_by_handle(self, handle): ''' Release a contiguous piece of memory (i.e. unlock) ''' super()._MemoryResource_release_named_memory(handle) @methodcheck(types=[str]) def erase_named_memory(self, name): ''' Erase a named-memory object from the memory resource ''' super()._MemoryResource_erase_named_memory(name) @methodcheck(types=[str,bytearray]) def put_named_memory(self, name, value): ''' Copy-based crash-consistent put of named memory value ''' if not isinstance(value, bytearray): raise RuntimeError('put_named_memory requires bytearray data') super()._MemoryResource_put_named_memory(name, value) @methodcheck(types=[str]) def get_named_memory(self, name): ''' Copy-based get of named memory value ''' return super()._MemoryResource_get_named_memory(name) def get_percent_used(self): ''' Get percentage of memory used in memory resource ''' return super()._MemoryResource_get_percent_used() def atomic_swap_names(self, a: str, b: str): ''' Swap the names of two named memories; must be released ''' return super()._MemoryResource_atomic_swap_names(a,b)

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heat/engine/attributes.py

pshchelo/heat

0

133540

<reponame>pshchelo/heat # # 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 collections import warnings import six from heat.common.i18n import _ from heat.engine import constraints as constr from heat.engine import support from oslo_log import log as logging LOG = logging.getLogger(__name__) class Schema(constr.Schema): """ Simple schema class for attributes. Schema objects are serialisable to dictionaries following a superset of the HOT input Parameter schema using dict(). """ KEYS = ( DESCRIPTION, TYPE ) = ( 'description', 'type', ) CACHE_MODES = ( CACHE_LOCAL, CACHE_NONE ) = ( 'cache_local', 'cache_none' ) TYPES = ( STRING, MAP, LIST, ) = ( 'String', 'Map', 'List', ) def __init__(self, description=None, support_status=support.SupportStatus(), cache_mode=CACHE_LOCAL, type=None): self.description = description self.support_status = support_status self.cache_mode = cache_mode self.type = type def __getitem__(self, key): if key == self.DESCRIPTION: if self.description is not None: return self.description elif key == self.TYPE: if self.type is not None: return self.type.lower() raise KeyError(key) @classmethod def from_attribute(cls, schema_dict): """ Return a Property Schema corresponding to a Attribute Schema. """ if isinstance(schema_dict, cls): return schema_dict warnings.warn('<name>: <description> schema definition is deprecated. ' 'Use <name>: attributes.Schema(<description>) instead.', DeprecationWarning) return cls(schema_dict) def schemata(schema): """ Return dictionary of Schema objects for given dictionary of schemata. """ return dict((n, Schema.from_attribute(s)) for n, s in schema.items()) class Attribute(object): """ An Attribute schema. """ def __init__(self, attr_name, schema): """ Initialise with a name and description. :param attr_name: the name of the attribute :param schema: attribute schema """ self.name = attr_name self.schema = Schema.from_attribute(schema) def support_status(self): return self.schema.support_status def as_output(self, resource_name, template_type='cfn'): """ Return an Output schema entry for a provider template with the given resource name. :param resource_name: the logical name of the provider resource :param template_type: the template type to generate :returns: This attribute as a template 'Output' entry for cfn template and 'output' entry for hot template """ if template_type == 'hot': return { "value": '{"get_attr": ["%s", "%s"]}' % (resource_name, self.name), "description": self.schema.description } else: return { "Value": '{"Fn::GetAtt": ["%s", "%s"]}' % (resource_name, self.name), "Description": self.schema.description } class Attributes(collections.Mapping): """Models a collection of Resource Attributes.""" def __init__(self, res_name, schema, resolver): self._resource_name = res_name self._resolver = resolver self._attributes = Attributes._make_attributes(schema) self.reset_resolved_values() def reset_resolved_values(self): self._resolved_values = {} @staticmethod def _make_attributes(schema): return dict((n, Attribute(n, d)) for n, d in schema.items()) @staticmethod def as_outputs(resource_name, resource_class, template_type='cfn'): """ :param resource_name: logical name of the resource :param resource_class: resource implementation class :returns: The attributes of the specified resource_class as a template Output map """ schema = resource_class.attributes_schema attribs = Attributes._make_attributes(schema).items() return dict((n, att.as_output(resource_name, template_type)) for n, att in attribs) @staticmethod def schema_from_outputs(json_snippet): if json_snippet: return dict((k, Schema(v.get("Description"))) for k, v in json_snippet.items()) return {} def _validate_type(self, attrib, value): if attrib.schema.type == attrib.schema.STRING: if not isinstance(value, six.string_types): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.STRING}) elif attrib.schema.type == attrib.schema.LIST: if (not isinstance(value, collections.Sequence) or isinstance(value, six.string_types)): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.LIST}) elif attrib.schema.type == attrib.schema.MAP: if not isinstance(value, collections.Mapping): LOG.warn(_("Attribute %(name)s is not of type %(att_type)s"), {'name': attrib.name, 'att_type': attrib.schema.MAP}) def __getitem__(self, key): if key not in self: raise KeyError(_('%(resource)s: Invalid attribute %(key)s') % dict(resource=self._resource_name, key=key)) attrib = self._attributes.get(key) if attrib.schema.cache_mode == Schema.CACHE_NONE: return self._resolver(key) if key in self._resolved_values: return self._resolved_values[key] value = self._resolver(key) if value is not None: # validate the value against its type self._validate_type(attrib, value) # only store if not None, it may resolve to an actual value # on subsequent calls self._resolved_values[key] = value return value def __len__(self): return len(self._attributes) def __contains__(self, key): return key in self._attributes def __iter__(self): return iter(self._attributes) def __repr__(self): return ("Attributes for %s:\n\t" % self._resource_name + '\n\t'.join(six.itervalues(self._attributes))) def select_from_attribute(attribute_value, path): ''' Select an element from an attribute value. :param attribute_value: the attribute value. :param path: a list of path components to select from the attribute. :returns: the selected attribute component value. ''' def get_path_component(collection, key): if not isinstance(collection, (collections.Mapping, collections.Sequence)): raise TypeError(_("Can't traverse attribute path")) if not isinstance(key, (six.string_types, int)): raise TypeError(_('Path components in attributes must be strings')) return collection[key] try: return six.moves.reduce(get_path_component, path, attribute_value) except (KeyError, IndexError, TypeError): return None

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config.py

vanmo9/One-Minute-Pitches

0

1614051

<filename>config.py import os class Config: SQLALCHEMY_DATABASE_URI = 'postgresql+psycopg2://mohamed:911@localhost/mo' # email configurations # We setup the SMTP server and configure the port to use the gmail SMTP server port. MAIL_SERVER = 'smtp.googlemail.com' MAIL_PORT = 587 # Then we set MAIL_USE_TLS configuration to true which enables a transport layer security to secure the emails when sending the emails. MAIL_USE_TLS = True SECRET_KEY=os.environ.get("SECRET_KEY") # MAIL_USERNAME and MAIL_PASSWORD are our email address and password to authenticate to the gmail SMTP server. We set them as environment variables. MAIL_USERNAME = os.environ.get("MAIL_USERNAME") MAIL_PASSWORD = <PASSWORD>("<PASSWORD>") pass class ProdConfig(Config): SQLALCHEMY_DATABASE_URI = os.environ.get("DATABASE_URL") class DevConfig(Config): DEBUG = True config_options = { 'development':DevConfig, 'production':ProdConfig }

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cogs/wallet.py

virtualCrypto-discord/VCrypto-Utilities

0

186621

from discord.ext import commands from bot import MyBot from virtualcrypto import AsyncVirtualCryptoClient class Wallet(commands.Cog): def __init__(self, bot: MyBot): self.bot = bot self.vcrypto: AsyncVirtualCryptoClient = self.bot.vcrypto @commands.command(aliases=['bal', 'money']) @commands.has_permissions(manage_guild=True) async def balance(self, ctx: commands.Context): currency = await self.vcrypto.get_currency_by_guild(ctx.guild.id) if currency is None: await ctx.send("このサーバーでは通貨は作成されていません。") return balance = await self.bot.get_balance(ctx.guild.id) if balance is None: value = 0 else: value = balance.amount await ctx.send(f"{value}{currency.unit}を持っています。") def setup(bot): return bot.add_cog(Wallet(bot))

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CH10/CH10c_Faster_Transformer_model_serving_using_Tensorflow_Extended/main.py

sharif618/Mastering-Transformers

155

173997

<filename>CH10/CH10c_Faster_Transformer_model_serving_using_Tensorflow_Extended/main.py import uvicorn from fastapi import FastAPI from pydantic import BaseModel from transformers import BertTokenizerFast, BertConfig import requests import json import numpy as np tokenizer = BertTokenizerFast.from_pretrained("nateraw/bert-base-uncased-imdb") config = BertConfig.from_pretrained("nateraw/bert-base-uncased-imdb") class DataModel(BaseModel): text: str app = FastAPI() @app.post("/sentiment") async def sentiment_analysis(input_data: DataModel): print(input_data.text) tokenized_sentence = [dict(tokenizer(input_data.text))] data_send = {"instances": tokenized_sentence} response = requests.post("http://localhost:8501/v1/models/bert:predict", data=json.dumps(data_send)) result = np.abs(json.loads(response.text)["predictions"][0]) return {"sentiment": config.id2label[np.argmax(result)]} if __name__ == '__main__': uvicorn.run('main:app', workers=1)

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flat_sales/flat_sales/doctype/flat_payment_schedule/test_flat_payment_schedule.py

swamedh/flat_sales

1

124961

# Copyright (c) 2013, deepak and Contributors # See license.txt from __future__ import unicode_literals import frappe import unittest test_records = frappe.get_test_records('Flat Payment Schedule') class TestFlatPaymentSchedule(unittest.TestCase): pass

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9020/main.py

yeonghoey/baekjoon

1

21328

MAX_N = 10000 + 1 isprime = [True] * (MAX_N) isprime[0] = False isprime[1] = False for i in range(2, MAX_N): if not isprime[i]: continue for j in range(i+i, MAX_N, i): isprime[j] = False T = int(input()) for _ in range(T): n = int(input()) for i in range(n//2, 1, -1): if isprime[i] and isprime[n-i]: print('%d %d' % (i, n-i)) break

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dandeliondiary/household/tests.py

amberdiehl/dandeliondiary_project

0

56233

<gh_stars>0 import datetime import json from django.core.exceptions import ObjectDoesNotExist from django.test import Client from django.test import TestCase from django.urls import reverse from django.contrib.auth.models import User, Group from account.models import Account from core.models import BudgetModel, RigType, UseType, IncomeType, VehicleMake, VehicleModel, VehicleType, \ VehiclePurchaseType, VehicleStatus, Satisfaction, BudgetGroup, BudgetCategory from compare.models import MyBudgetGroup, MyBudgetCategory from .models import RVHousehold, Member, HouseholdMembers, HouseholdInvite, Vehicle from .forms import MyInfoForm, HouseholdProfileForm, InviteMemberForm, VehicleForm # For now, all test cases for household are defined in one class class HouseholdTest(TestCase): @classmethod def setUpClass(cls): """ Set up initial test data :return: """ """ Create core model objects needed for household objects """ try: budget_model = BudgetModel.objects.get(budget_model='RVHousehold') except ObjectDoesNotExist: budget_model = BudgetModel() budget_model.budget_model = 'RVHousehold' budget_model.budget_model_description = 'Budget model for RV community' budget_model.save() rig = RigType() rig.rig_type = 'Motorhome' rig.rig_type_description = 'Motorhome' rig.save() use = UseType() use.use_type = 'Full-time' use.use_type_description = 'Full-time' use.save() income = IncomeType() income.income_type = 'Self-employed' income.income_type_description = 'Self-employed' income.save() make = VehicleMake() make.filter = 'rv' make.make = 'Tiffin' make.save() model = VehicleModel() model.make = make model.model_name = 'Allegro Bus' model.save() v_type = VehicleType() v_type.filter = 'rv' v_type.type = 'Motorhome' v_type.type_description = 'Your RV is a motorhome.' v_type.save() purchase = VehiclePurchaseType() purchase.purchase_type = 'Used-Private' purchase.purchase_description = 'Purchased directly from an individual.' purchase.save() status = VehicleStatus() status.vehicle_status = 'Owner' status.vehicle_status_description = 'Still owned by me.' status.save() satisfaction = Satisfaction() satisfaction.satisfaction_index = 5 satisfaction.satisfaction_description = 'Love it!' satisfaction.satisfaction_definition = 'Would definitely purchase again.' satisfaction.save() """ Create auth group for forum permissions """ group = Group() group.name = 'forum_customers' group.save() """ Create template budget objects """ budget_group = BudgetGroup() budget_group.budget_model = budget_model budget_group.group_name = 'Health Care' budget_group.group_description = 'Expenses associated with staying well' budget_group.group_list_order = 1 budget_group.group_perma_key = 'perma-key-value' budget_group.save() category = BudgetCategory() category.budget_group = budget_group category.category = 'Insurance' category.category_perma_key = 'perma-key-value' category.save() """ Create users and associated objects for dashboard test cases. """ # 1. Just created account, has not setup household or provided personal details User.objects.create_user('alex', email='<EMAIL>', password='password') # 2. New account, only has personal details user = User.objects.create_user('barney', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4393' member.owner = True member.newsletter = True member.save() user.first_name = 'Barney' user.last_name = 'Balderdash' user.save() # 3. New account, has provided personal details and household information, but no vehicles user = User.objects.create_user('chuck', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4401' member.owner = True member.newsletter = True member.save() user.first_name = 'Charles' user.last_name = 'Carter' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1950 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() + datetime.timedelta(days=1000) household.subscription_status = 'Beta' household.start_year = 2000 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 1 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # 4. Expired account user = User.objects.create_user('dave', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4402' member.owner = True member.newsletter = True member.save() user.first_name = 'David' user.last_name = 'Davis' user.save() household = RVHousehold() household.members_in_household = 1 household.oldest_birthyear = 1951 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() - datetime.timedelta(days=1) household.subscription_status = 'Beta' household.start_year = 1985 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 0 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() """ Create users and associated objects for my info test cases. """ User.objects.create_user('eric', email='<EMAIL>', password='password') """ Create users and associated objects for household test cases. """ User.objects.create_user('fred', email='<EMAIL>', password='password') """ Create users and associated objects for household member test cases. """ # Expired membership user = User.objects.create_user('greg', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4410' member.owner = True member.newsletter = True member.save() user.first_name = 'Greg' user.last_name = 'Gardiner' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1954 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() - datetime.timedelta(days=1) household.subscription_status = 'Beta' household.start_year = 1982 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 1 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Current membership user = User.objects.create_user('harry', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-4411' member.owner = True member.newsletter = True member.save() user.first_name = 'Harry' user.last_name = 'Hughes' user.save() household = RVHousehold() household.members_in_household = 2 household.oldest_birthyear = 1951 household.budget_model = budget_model household.opt_in_contribute = True household.paid_through = datetime.datetime.now().date() + datetime.timedelta(days=1000) household.subscription_status = 'Beta' household.start_year = 1980 household.rig_type = rig household.use_type = use household.income_type = income household.pets_dog = 2 household.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Member of harry's household user = User.objects.create_user('annie', email='<EMAIL>', password='password') account = Account.objects.get(user=user) member = Member() member.account = account member.phone_number = '415-413-5511' member.owner = False member.newsletter = True member.save() user.first_name = 'Annie' user.last_name = 'Arneau-Hughes' user.save() household_member = HouseholdMembers() household_member.member_account = account household_member.household_membership = household household_member.save() # Random invites for tests invite = HouseholdInvite() invite.invite_household = household invite.email = '<EMAIL>' invite.security_code = '1234567' invite.invite_date = datetime.datetime.now().date() invite.save() invite = HouseholdInvite() invite.invite_household = household invite.email = '<EMAIL>' invite.security_code = '1234567' invite.invite_date = datetime.datetime.now().date() invite.save() @classmethod def tearDownClass(cls): pass """ Test the models """ def test_models(self): budget_model = BudgetModel.objects.get(budget_model='RVHousehold') self.assertEquals(str(budget_model), 'RVHousehold') rig = RigType.objects.get(rig_type='Motorhome') self.assertEquals(str(rig), 'Motorhome') use = UseType.objects.get(use_type='Full-time') self.assertEquals(str(use), 'Full-time') income = IncomeType.objects.get(income_type='Self-employed') self.assertEquals(str(income), 'Self-employed') make = VehicleMake.objects.get(make='Tiffin') self.assertEquals(str(make), 'Tiffin') v_model = VehicleModel.objects.get(model_name='Allegro Bus') self.assertEquals(str(v_model), 'Allegro Bus') v_type = VehicleType.objects.get(type='Motorhome') self.assertEquals(str(v_type), 'Motorhome') purchase = VehiclePurchaseType.objects.get(purchase_type='Used-Private') self.assertEquals(str(purchase), 'Used-Private') status = VehicleStatus.objects.get(vehicle_status='Owner') self.assertEquals(str(status), 'Owner') satisfaction = Satisfaction.objects.get(satisfaction_index=5) self.assertEquals(str(satisfaction), 'Love it!') member = Member.objects.get(phone_number='415-413-4393') self.assertEquals(str(member), '415-413-4393') household = RVHousehold.objects.get(pk=1) self.assertEquals(str(household), '1') household_member = HouseholdMembers.objects.all()[0] self.assertEquals(str(household_member), 'Member key: {} Household key: {}'.format( household_member.member_account, household_member.household_membership)) budget_group = BudgetGroup.objects.get(group_name='Health Care') self.assertEquals(str(budget_group), 'Health Care') category = BudgetCategory.objects.get(category='Insurance') self.assertEquals(str(category), 'Insurance') invite = HouseholdInvite.objects.get(email='<EMAIL>') self.assertEquals(str(invite), '<EMAIL>') """ Test various states and conditions for the dashboard view """ def test_dashboard_new_user(self): """ New user, hasn't setup personal information or household yet :return: """ self.client = Client() logged_in = self.client.login(username='alex', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Tags indicating need for personal info and household information should exist self.assertEquals(summary['need_myinfo'], 'Please take a moment to provide your name and a phone number.') self.assertEquals(summary['need_household'], 'To activate your free trial, please setup your household information.') # And other tags should not exist until after those things are provided with self.assertRaises(KeyError): test = summary['need_vehicles'] test = summary['free_trial'] def test_dashboard_new_user_personal_info_provided(self): """ New user, has setup personal information but not household yet :return: """ self.client = Client() logged_in = self.client.login(username='barney', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for Barney should exist self.assertEquals(summary['first_name'], 'Barney') self.assertEquals(summary['last_name'], 'Balderdash') self.assertEquals(summary['phone_number'], '415-413-4393') # Household info is still missing self.assertEquals(summary['need_household'], 'To activate your free trial, please setup your household information.') # And other tags should not exist until after those things are provided with self.assertRaises(KeyError): test = summary['need_vehicles'] test = summary['free_trial'] def test_dashboard_new_user_with_household_setup(self): """ New user, has provided personal info and household :return: """ self.client = Client() logged_in = self.client.login(username='chuck', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for Charles should exist self.assertEquals(summary['first_name'], 'Charles') self.assertEquals(summary['last_name'], 'Carter') self.assertEquals(summary['phone_number'], '415-413-4401') # Household info should exist self.assertEquals(summary['start_year'], 2000) self.assertEquals(summary['pets'], 1) # And now info is displayed about subscription and vehicles self.assertEquals(summary['need_vehicles'][0:14], 'Please specify') self.assertEquals(summary['free_trial'][0:6], 'Thanks') def test_dashboard_expired_subscription(self): """ Expired subscription :return: """ self.client = Client() logged_in = self.client.login(username='dave', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:household_dashboard'), secure=True) summary = response.context['summary'] # Personal info for David should exist self.assertEquals(summary['first_name'], 'David') self.assertEquals(summary['last_name'], 'Davis') self.assertEquals(summary['phone_number'], '415-413-4402') # Household info should exist self.assertEquals(summary['start_year'], 1985) self.assertEquals(summary['pets'], 0) # And now info is displayed about subscription and vehicles self.assertEquals(summary['need_vehicles'][0:14], 'Please specify') self.assertEquals(summary['expired'][0:30], 'Your subscription has expired.') """ Test my_info view and form """ def test_my_info_view(self): self.client = Client() logged_in = self.client.login(username='eric', password='password') self.assertEquals(logged_in, True) data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } response = self.client.post(reverse('household:my_info'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='eric') account = Account.objects.get(user=user) member = Member.objects.get(account=account) self.assertEquals(user.last_name, 'Emmerson') self.assertEquals(member.phone_number, '415-413-4403') def test_my_info_form_empty(self): data = { 'first_name': '', 'last_name': '', 'phone_number': '', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_bad_names(self): data = { 'first_name': '$', 'last_name': 'E', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_bad_phone_number(self): data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '555-555-5555', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertFalse(form.is_valid()) def test_my_info_form_valid(self): data = { 'first_name': 'Eric', 'last_name': 'Emmerson', 'phone_number': '415-413-4403', 'newsletter': True, 'owner': True } form = MyInfoForm(data=data) self.assertTrue(form.is_valid()) """ Test household_profile view and form """ def test_household_profile_view(self): self.client = Client() logged_in = self.client.login(username='fred', password='password') self.assertEquals(logged_in, True) rig= RigType.objects.get(rig_type='Motorhome') use = UseType.objects.get(use_type='Full-time') income = IncomeType.objects.get(income_type='Self-employed') # Test create data = { 'start_year': 1992, 'members_in_household': 2, 'oldest_birthyear': 1952, 'rig_type': rig.pk, 'use_type': use.pk, 'income_type': income.pk, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 1, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } response = self.client.post(reverse('household:maintain_household'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='fred') account = Account.objects.get(user=user) household = RVHousehold.objects.get(householdmembers__member_account=account) self.assertEquals(household.start_year, 1992) my_group = MyBudgetGroup.objects.get(my_group_name='Health Care') self.assertEquals(str(my_group), 'Health Care') my_category = MyBudgetCategory.objects.get(my_category_name='Insurance') self.assertEquals(str(my_category), 'Insurance') # Test update data = { 'start_year': 1994, 'members_in_household': 2, 'oldest_birthyear': 1952, 'rig_type': rig.pk, 'use_type': use.pk, 'income_type': income.pk, 'pets_dog': 1, 'pets_cat': 1, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } response = self.client.post(reverse('household:maintain_household'), data=data, secure=True) self.assertEqual(response.status_code, 200) user = User.objects.get(username='fred') account = Account.objects.get(user=user) household = RVHousehold.objects.get(householdmembers__member_account=account) self.assertEquals(household.start_year, 1994) def test_household_profile_form_empty(self): data = { 'start_year': 0, 'members_in_household': 0, 'oldest_birthyear': 0, 'rig_type': 0, 'use_type': 0, 'income_type': 0, 'pets_dog': 0, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_need_rig_use_income(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 0, 'use_type': 0, 'income_type': 0, 'pets_dog': 0, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_too_many_pets(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 11, 'pets_cat': 0, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_invalid_children_status(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 0, 'children': 1, 'children_status': 0, # <-- 'grandchildren': 1, 'grandchildren_status': 0 # <-- } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_invalid_children_count(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 0, 'pets_other': 0, 'children': 0, # <-- 'children_status': 1, 'grandchildren': 0, # <-- 'grandchildren_status': 1 } form = HouseholdProfileForm(data=data) self.assertFalse(form.is_valid()) def test_household_profile_form_valid(self): data = { 'start_year': 2011, 'members_in_household': 2, 'oldest_birthyear': 1963, 'rig_type': 1, 'use_type': 1, 'income_type': 1, 'pets_dog': 1, 'pets_cat': 1, 'pets_other': 0, 'children': 0, 'children_status': 0, 'grandchildren': 0, 'grandchildren_status': 0 } form = HouseholdProfileForm(data=data) self.assertTrue(form.is_valid()) """ Test household_members view, form, and ajax calls """ def test_household_members_view(self): self.client = Client() # Redirect for expired subscription logged_in = self.client.login(username='greg', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:maintain_members'), follow=True, secure=True) chain = response.redirect_chain[0] self.assertEquals(chain[0], '/household/settings') self.assertEquals(chain[1], 302) self.assertEquals(response.status_code, 200) # Redirect because non-owner cannot invite other members logged_in = self.client.login(username='annie', password='password') self.assertEquals(logged_in, True) response = self.client.get(reverse('household:maintain_members'), follow=True, secure=True) chain = response.redirect_chain[0] self.assertEquals(chain[0], '/household/settings') self.assertEquals(chain[1], 302) self.assertEquals(response.status_code, 200) # Test invitation logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) data = { 'email': '<EMAIL>' } response = self.client.post(reverse('household:maintain_members'), data=data, secure=True) self.assertEqual(response.status_code, 200) current = response.context['current'].filter(username='annie') self.assertEquals(len(current), 1) pending = response.context['pending'].filter(email='<EMAIL>') self.assertEquals(len(pending), 1) invite = HouseholdInvite.objects.get(email='<EMAIL>') self.assertEquals(str(invite), '<EMAIL>') def test_member_invite_form_email_already_exists_account(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_already_exists_invite(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_invalid(self): data = { 'email': 'nono.nono.com' } form = InviteMemberForm(data=data) self.assertFalse(form.is_valid()) def test_member_invite_form_email_valid(self): data = { 'email': '<EMAIL>' } form = InviteMemberForm(data=data) self.assertTrue(form.is_valid()) def test_ajax_delete_invite(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Invalid data tests data0 = { 'id': '$', # <-- 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data0, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') data1 = { 'id': 99999999, 'user': '$rie9%!' # <-- } response = self.client.post('/household/ajax/delete-invite/', data=data1, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Invalid id; does not exist data2 = { 'id': 99999999, 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data2, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Validate user name provided is same as user name logged in data3 = { 'id': 99999999, 'user': 'greg' } response = self.client.post('/household/ajax/delete-invite/', data=data3, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') invite = HouseholdInvite.objects.get(email='<EMAIL>') data = { 'id': invite.pk, 'user': 'harry' } response = self.client.post('/household/ajax/delete-invite/', data=data, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') invite = HouseholdInvite.objects.filter(email='<EMAIL>') self.assertEquals(len(invite), 0) def test_ajax_change_member_status(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Invalid data tests data0 = { 'username': 'annie', 'user': '$', # <-- 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data0, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') data1 = { 'username': 'annie', 'user': 'harry', 'status': 'Off' # <-- } response = self.client.post('/household/ajax/change-member-status/', data=data1, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # User (username) does not exist data2 = { 'username': 'ann-marie', 'user': 'harry', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data2, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # User (username) is not member of given household (user) data3 = { 'username': 'annie', 'user': 'greg', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data3, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'ERROR') # Deactivate user (username) account data_a = { 'username': 'annie', 'user': 'harry', 'status': 'Deactivate' } response = self.client.post('/household/ajax/change-member-status/', data=data_a, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') user = User.objects.get(username='annie') self.assertFalse(user.is_active) # Reactivate user (username) account data_b = { 'username': 'annie', 'user': 'harry', 'status': 'Activate' } response = self.client.post('/household/ajax/change-member-status/', data=data_b, secure=True) result = json.loads(response.content) self.assertEquals(response.status_code, 200) self.assertEquals(result['status'], 'OK') user = User.objects.get(username='annie') self.assertTrue(user.is_active) """ Test household_vehicles view, form, and ajax calls """ def test_household_vehicles_view(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) # Setup by getting objects for foreign keys vehicle_type = VehicleType.objects.get(type='Motorhome') vehicle_make = VehicleMake.objects.get(make='Tiffin') vehicle_model = VehicleModel.objects.get(model_name='Allegro Bus') purchase_type = VehiclePurchaseType.objects.get(purchase_type='Used-Private') satisfaction = Satisfaction.objects.get(satisfaction_index=5) vehicle_status = VehicleStatus.objects.get(vehicle_status='Owner') # Data to create vehicle record data = { 'form-TOTAL_FORMS': '2', 'form-INITIAL_FORMS': '0', 'form-MAX_NUM_FORMS': '', 'form-0-type': vehicle_type, 'form-0-make': vehicle_make, 'form-0-model_name': vehicle_model, 'form-0-model_year': 2006, 'form-0-fuel': 'Diesel', 'form-0-purchase_year': 2015, 'form-0-purchase_price': 50000.00, 'form-0-purchase_type': purchase_type, 'form-0-finance': 'Cash', 'form-0-satisfaction': satisfaction, 'form-0-status': vehicle_status, 'form-0-gone_year': 0 } response = self.client.post(reverse('household:maintain_vehicles'), data=data, secure=True) self.assertEqual(response.status_code, 200) def test_vehicle_form_empty(self): data = { 'type': 0, 'make': 0, 'model_name': 0, 'model_year': 0, 'fuel': 0, 'purchase_year': 0, 'purchase_price': 0, 'purchase_type': 0, 'finance': 0, 'satisfaction': 0, 'status': 0, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_model_year(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 1800, 'fuel': 1, 'purchase_year': 2016, 'purchase_price': 50.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) data['model_year'] = 2080 form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_purchase_year(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2016, 'fuel': 1, 'purchase_year': 1900, # <-- too far in the past 'purchase_price': 50.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) data['purchase_year'] = 2080 # <-- too far into the future form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_bad_purchase_price(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2016, 'fuel': 1, 'purchase_year': 2016, 'purchase_price': .99, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_gone_year_in_future(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2012, 'fuel': 1, 'purchase_year': 2014, 'purchase_price': 50000.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 2080 } form = VehicleForm(data=data) self.assertFalse(form.is_valid()) def test_vehicle_form_valid(self): data = { 'type': 1, 'make': 1, 'model_name': 1, 'model_year': 2012, 'fuel': 1, 'purchase_year': 2014, 'purchase_price': 50000.00, 'purchase_type': 1, 'finance': 1, 'satisfaction': 1, 'status': 1, 'gone_year': 0 } form = VehicleForm(data=data) self.assertTrue(form.is_valid()) def test_ajax_makes_by_type(self): vehicle_type = VehicleType.objects.get(type='Motorhome') response = self.client.get('/household/ajax/makes-by-type/' + str(vehicle_type.pk) + '/', secure=True) result = json.loads(response.content) make = VehicleMake.objects.filter(filter=vehicle_type.filter)[0] self.assertTrue(str(make.pk) in result) def test_ajax_models_by_make(self): vehicle_make = VehicleMake.objects.get(make='Tiffin') response = self.client.get('/household/ajax/models-by-make/' + str(vehicle_make.pk) + '/', secure=True) result = json.loads(response.content) model = VehicleModel.objects.filter(make=vehicle_make)[0] self.assertTrue(str(model.pk) in result) def test_ajax_add_make(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) vehicle_type = VehicleType.objects.get(type='Motorhome') response = self.client.post('/household/ajax/add-make/' + str(vehicle_type.pk) + '/JayCo/', secure=True) result = json.loads(response.content) self.assertEquals(result['status'], 'OK') make = VehicleMake.objects.get(pk=result['key']) self.assertEquals(make.make, 'Jayco') def test_ajax_add_model(self): self.client = Client() logged_in = self.client.login(username='harry', password='password') self.assertEquals(logged_in, True) make = VehicleMake.objects.get(make='Tiffin') response = self.client.post('/household/ajax/add-model/' + str(make.pk) + '/Phaeton/', secure=True) result = json.loads(response.content) self.assertEquals(result['status'], 'OK') vehicle_model = VehicleModel.objects.get(pk=result['key']) self.assertEquals(vehicle_model.model_name, 'Phaeton')

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Language Proficiency (Python)/ginortS.py

Muntaha-Islam0019/HackerRank-Solutions

0

194929

<reponame>Muntaha-Islam0019/HackerRank-Solutions import string print(*sorted(input(), key=(string.ascii_letters + '1357902468').index), sep='')

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mingus/core/views.py

brixtonasias/sk-mingus

1

79133

from django.utils import simplejson from django.http import HttpResponse from django.shortcuts import get_object_or_404 from basic.blog.models import Post, Category from django.conf import settings from django import http from django.template import loader, Context from django_proxy.models import Proxy from django.views.generic import list_detail from basic.blog.models import Settings from view_cache_utils import cache_page_with_prefix from contact_form.views import contact_form as django_contact_form from contact_form.forms import ContactForm from honeypot.decorators import check_honeypot from tagging.models import Tag, TaggedItem from django.shortcuts import render_to_response from django.template import RequestContext import re from django.db.models import Q def page_key_prefix(request): '''Used by cache_page_with_prefix to create a cache key prefix.''' return request.GET.get('page','') def build_url(domainname): '''Given a domain name (ex mywebsite.com) it returns the full url.''' return 'http://%s' % domainname def post_result_item(post): '''Generates the item result object for django-springsteen integration.''' return { 'title': post.title, 'url': build_url(Settings.get_current().site.domain) + post.get_absolute_url(), 'text': post.body, } def springsteen_results(request): ''' Creates the django-springsteen compliant JSON results for only for findjango integration. Results: Published Post objects. ''' results = [ post_result_item(item) for item in Post.objects.published()[:50] ] response_dict = { 'total_results': Post.objects.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') def server_error(request, template_name='500.html'): '''Handles displaying 500 server error page along with application MEDIA.''' t = loader.get_template(template_name) blog_settings = Settings.get_current() return http.HttpResponseServerError(t.render(Context({ "MEDIA_URL": settings.MEDIA_URL, "STATIC_URL": settings.STATIC_URL, "BLOG_SETTINGS": blog_settings, }))) def springsteen_firehose(request): ''' Generates django-springsteen compliant JSON results of proxy models for findjango integration. ''' def result_item(proxy): '''Generates the item result object.''' if proxy.content_type.name == 'bookmark': url = proxy.content_object.get_absolute_url() else: url = build_url(Settings.get_current().site.domain) + proxy.content_object.get_absolute_url() return { 'title': proxy.title, 'url': url, 'text': proxy.description, } posts = Proxy.objects.published().order_by('-pub_date')[:50] results = [ result_item(item) for item in posts ] response_dict = { 'total_results': Proxy.objects.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') def springsteen_category(request, slug): ''' Creates the django-springsteen compliant JSON results for only for findjango integration. Results: Published Post objects by category. ''' category = get_object_or_404(Category, slug__iexact=slug) posts = category.post_set.published()[:50] results = [ post_result_item(item) for item in posts ] response_dict = { 'total_results': category.post_set.published().count(), 'results': results, } return HttpResponse(simplejson.dumps(response_dict), mimetype='application/javascript') @cache_page_with_prefix(60, page_key_prefix) def home_list(request, page=0, template_name='proxy/proxy_list.html', **kwargs): ''' Homepage. Template: ``proxy/proxy_list.html`` Context: object_list Aggregated list of Proxy instances (post, quote, bookmark). ''' posts = Proxy.objects.published().order_by('-pub_date') pagesize = Settings.get_current().page_size or 20 return list_detail.object_list( request, queryset = posts, paginate_by = pagesize, page = page, template_name = template_name, **kwargs ) def quote_list(request, template_name='quotes/quote_list.html', **kwargs): ''' A basic cxample of overriding a reusable apps view to customize. Displays quote list view. No paging added, but can be on your own. ''' from quoteme.views import quote_list favorite_jazz_album = getattr(settings, 'FAVORITE_JAZZ_ALBUM', 'Money Jungle') extra = { 'favorite_jazz_album': favorite_jazz_album, } return quote_list(request, template_name=template_name, extra_context=extra, **kwargs) def quote_detail(request, template_name='quotes/quote_detail.html', **kwargs): ''' A basic cxample of overriding a reusable apps view to customize. Displays quote detail view. ''' from quoteme.views import quote_detail favorite_food = getattr(settings, 'FAVORITE_FOOD', 'Pizza') extra = { 'favorite_food': favorite_food, } return quote_detail(request, template_name=template_name, extra_context=extra, **kwargs) def oops(request): '''An view that exists soley to provide an example of using django-db-log.''' foo = 1/0 def tag_detail(request, slug, template_name='proxy/tag_detail.html', **kwargs): ''' Display objects for all content types supported: Post and Quotes.''' tag = get_object_or_404(Tag, name__iexact=slug) #below could be prettier results = [] qs = Proxy.objects.published().filter(tags__icontains=tag.name).order_by('-pub_date') for item in qs: comma_delimited = (',' in item.tags) if comma_delimited: for t in item.tags.split(','): if t.strip(' ') == tag.name: results.append(item) else: for t in item.tags.split(' '): if t.strip(' ') == tag.name: results.append(item) return render_to_response(template_name, {'tag': tag, 'object_list': results}, context_instance=RequestContext(request), ) @check_honeypot def contact_form(request, form_class=ContactForm, template_name='contact_form/contact_form.html'): ''' Handles the contact form view. Leverages django-contact-form. This is an example of overriding another reusable apps view. This particular view also contains a form. For this example we are just doing the basic implementation by wrapping the view function and simply passing the arguments along. This view is also leveraging another reusable app, django-honeypot. The decorator you see being applied is used to protect your app from spam. ''' return django_contact_form(request, form_class=form_class, template_name=template_name) # Stop Words courtesy of http://www.dcs.gla.ac.uk/idom/ir_resources/linguistic_utils/stop_words STOP_WORDS = r"""\b(a|about|above|across|after|afterwards|again|against|all|almost|alone|along|already|also| although|always|am|among|amongst|amoungst|amount|an|and|another|any|anyhow|anyone|anything|anyway|anywhere|are| around|as|at|back|be|became|because|become|becomes|becoming|been|before|beforehand|behind|being|below|beside| besides|between|beyond|bill|both|bottom|but|by|call|can|cannot|cant|co|computer|con|could|couldnt|cry|de|describe| detail|do|done|down|due|during|each|eg|eight|either|eleven|else|elsewhere|empty|enough|etc|even|ever|every|everyone| everything|everywhere|except|few|fifteen|fify|fill|find|fire|first|five|for|former|formerly|forty|found|four|from| front|full|further|get|give|go|had|has|hasnt|have|he|hence|her|here|hereafter|hereby|herein|hereupon|hers|herself| him|himself|his|how|however|hundred|i|ie|if|in|inc|indeed|interest|into|is|it|its|itself|keep|last|latter|latterly| least|less|ltd|made|many|may|me|meanwhile|might|mill|mine|more|moreover|most|mostly|move|much|must|my|myself|name| namely|neither|never|nevertheless|next|nine|no|nobody|none|noone|nor|not|nothing|now|nowhere|of|off|often|on|once| one|only|onto|or|other|others|otherwise|our|ours|ourselves|out|over|own|part|per|perhaps|please|put|rather|re|same| see|seem|seemed|seeming|seems|serious|several|she|should|show|side|since|sincere|six|sixty|so|some|somehow|someone| something|sometime|sometimes|somewhere|still|such|system|take|ten|than|that|the|their|them|themselves|then|thence| there|thereafter|thereby|therefore|therein|thereupon|these|they|thick|thin|third|this|those|though|three|through| throughout|thru|thus|to|together|too|top|toward|towards|twelve|twenty|two|un|under|until|up|upon|us|very|via|was| we|well|were|what|whatever|when|whence|whenever|where|whereafter|whereas|whereby|wherein|whereupon|wherever|whether| which|while|whither|who|whoever|whole|whom|whose|why|will|with|within|without|would|yet|you|your|yours|yourself| yourselves)\b""" def proxy_search(request, template_name='proxy/proxy_search.html'): """ Search for proxy objects. 99.99 percent borrowed from basic-blog's search. This template will allow you to setup a simple search form that will try to return results based on given search strings. The queries will be put through a stop words filter to remove words like 'the', 'a', or 'have' to help imporve the result set. Template: ``proxy/proxy_search.html`` Context: object_list List of blog posts that match given search term(s). search_term Given search term. """ context = {} if request.GET: stop_word_list = re.compile(STOP_WORDS, re.IGNORECASE) search_term = '%s' % request.GET['q'] cleaned_search_term = stop_word_list.sub('', search_term) cleaned_search_term = cleaned_search_term.strip() if len(cleaned_search_term) != 0: post_list = Proxy.objects.filter(Q(title__icontains=cleaned_search_term) | Q(tags__icontains=cleaned_search_term) | Q(description__icontains=cleaned_search_term)).order_by('-pub_date') context = {'object_list': post_list, 'search_term':search_term} else: message = 'Search term was too vague. Please try again.' context = {'message':message} return render_to_response(template_name, context, context_instance=RequestContext(request))

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tests/webdriver_tests/test_content.py

sean-hayes/zoom

1

196260

<filename>tests/webdriver_tests/test_content.py<gh_stars>1-10 # -*- coding: utf-8 -*- """ zoom.tests.webdriver_tests.test_admin test admin app functions """ from .common import WebdriverTestCase class ContentTests(WebdriverTestCase): """Content App""" def setUp(self): WebdriverTestCase.setUp(self) self.login('admin', 'admin') def tearDown(self): self.logout() WebdriverTestCase.tearDown(self) def add_page(self, **parts): assert parts.get('title') self.get('/content/pages/new') self.fill(parts) self.click('create_button') def delete_page(self, locator): self.get('/content/pages') self.click_link(locator) self.click_link('Delete') self.click('delete_button') def test_add_remove_page(self): self.add_page( title='Test Page', path='test-page', body='This is a test page.' ) self.assertContains('Test Page') self.delete_page('Test Page') # def add_user(self, first_name, last_name, email, username): # self.get('/admin') # self.get('/admin/users') # self.get('/admin/users/new') # self.fill( # dict( # first_name=first_name, # last_name=last_name, # email=email, # username=username, # ) # ) # self.chosen('groups', ['managers']) # self.click('create_button') # # def delete_user(self, username): # self.get('/admin') # self.get('/admin/users') # self.click_link(username) # self.click('id=delete-action') # self.click('name=delete_button') # # def test_admin_login_logout(self): # self.login('admin', 'admin') # self.logout() def test_index(self): self.get('/content') self.assertContains('Overview') self.assertContains('Pages') self.assertContains('Snippets')

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mysite/Tweet_Generator/urls.py

avinsit123/Tweet-o-Pedia

1

157596

<gh_stars>1-10 from django.conf.urls import url from . import views urlpatterns=[ url(r'^$',views.Tweet_form,name='Tweetform'), url('yumyum',views.ProcessForm,name='vahmc') ]

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src/duplex_feature_extraction_cv.py

BorisAnimal/across_sensor_har

0

106085

from keras.models import load_model, Model import numpy as np import os from src.data.shl_data import shl_min, shl_max, mean, std from tqdm import tqdm import seaborn as sns import shutil from loguru import logger x_min = shl_min()[np.newaxis, np.newaxis, :] x_max = shl_max()[np.newaxis, np.newaxis, :] x_mean = mean() x_std = std() base = "data/interim/hips/data" logger.add("duplex_fe_cv.log", format="{time:YYYY-MM-DD at HH:mm:ss} | {level} | {message}") logger.info("CV feature extraction has started.") sensors = ["accel", "gyro", "mag"] sources = [0]*3 + [1]*3 + [2]*3 destinations = [0, 1, 2]*3 modalities = list(zip(sources, destinations)) model_names = [f"{sensors[x]}2{sensors[y]}_duplex" for (x, y) in modalities] for model_name, (in_sensor, out_sensor) in tqdm(list(zip(model_names, modalities))[5:], total=9, desc = "Modalities"): for i in tqdm(range(5), desc = "Folds", leave = False): os.makedirs(f"data/interim/hips/best_fold{i}_{model_name}_features/") model = load_model(f"models/hips/best_fold{i}_{model_name}") feature_encoder = Model(model.input, model.get_layer("features").output) rmses = [] for fname in tqdm(os.listdir(base), desc = "files", leave = False): arr = np.load(base + "/" + fname) x = (arr - x_mean) / x_std x = (x - x_min) / (x_max - x_min) x = x * 2 - 1 features = feature_encoder.predict(x[:,:,:, in_sensor]) np.save(f"data/interim/hips/best_fold{i}_{model_name}_features/{fname}", features) rmse = np.mean(np.square(model.predict(x[:, :, :, in_sensor], verbose=0)[0] - x[:, :, :, out_sensor]), axis = 1) rmses.extend(rmse) logger.info(f"{model_name} fold {i} finished with rmse = {np.mean(rmses)}")

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fcts/blurple-old.py

ZRunner/ZBot

19

1600443

<filename>fcts/blurple-old.py import datetime import io import math import time from io import BytesIO import aiohttp import discord from discord.ext import commands from discord.ext.commands.cooldowns import BucketType from PIL import Image, ImageEnhance, ImageSequence from resizeimage import resizeimage from utils import MyContext BLURPLE = (114, 137, 218, 255) DARK_BLURPLE = (78, 93, 148, 255) WHITE = (255, 255, 255, 255) DARK = (1,1,35,255) class BlurpleCog(commands.Cog): def __init__(self,bot): self.bot = bot self.file = 'blurple' @commands.command(name="isblurple",aliases=['blurple']) @commands.cooldown(rate=1, per=60, type=BucketType.user) async def blurple_cmd(self, ctx: MyContext, url: str = None): """Be part of the best birthday of the WORLD, and check if you're enough blurple to be cool! You can either give a user or an image URL in argument, or attach an image to your message. Plz don't forget to be cool.""" if not (ctx.guild is None or ctx.channel.permissions_for(ctx.guild.me).attach_files): return await ctx.send(await self.bot._(ctx.channel,"blurple","missing-attachment-perm")) picture = None if url is not None: try: user = await commands.UserConverter().convert(ctx,url) picture = user.display_avatar.url except Exception: picture = url else: link = ctx.message.attachments if len(link) != 0: for image in link: picture = image.url if picture is None: picture = ctx.author.display_avatar.url try: async with aiohttp.ClientSession() as cs: async with cs.get(picture) as r: response = await r.read() except ValueError: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return colourbuffer = 25 try: im = Image.open(BytesIO(response)) except Exception: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_intro")).format(ctx.message.author.mention)) im = im.convert('RGBA') imsize = list(im.size) impixels = imsize[0]*imsize[1] maxpixelcount = 1562500 start = time.time() if impixels > maxpixelcount: downsizefraction = math.sqrt(maxpixelcount/impixels) im = resizeimage.resize_width(im, (imsize[0]*downsizefraction)) imsize = list(im.size) impixels = imsize[0]*imsize[1] end = time.time() await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_resized")).format(ctx.message.author.mention,round(end-start,2))) def imager(im): global noofblurplepixels noofblurplepixels = 0 global noofwhitepixels noofwhitepixels = 0 global noofdarkblurplepixels noofdarkblurplepixels = 0 global nooftotalpixels nooftotalpixels = 0 global noofpixels noofpixels = 0 img = im.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x,y] check = 1 checkblurple = 1 checkwhite = 1 checkdarkblurple = 1 checkblack = 1 if pixel[3]<200: noofpixels += 1 nooftotalpixels += 1 img[x,y] = (pixel[0], pixel[1], pixel[2], 0) continue for i in range(3): if not(BLURPLE[i]+colourbuffer > pixel[i] > BLURPLE[i]-colourbuffer): checkblurple = 0 if not(DARK_BLURPLE[i]+colourbuffer > pixel[i] > DARK_BLURPLE[i]-colourbuffer): checkdarkblurple = 0 if not(WHITE[i]+colourbuffer > pixel[i] > WHITE[i]-colourbuffer): checkwhite = 0 if not(DARK[i]+colourbuffer > pixel[i] > DARK[i]-colourbuffer): checkblack = 0 if checkblurple == 0 and checkdarkblurple == 0 and checkwhite == 0 and checkblack == 0: check = 0 if check == 0: img[x,y] = (0, 0, 0, 255) if check == 1: nooftotalpixels += 1 if checkblurple == 1: noofblurplepixels += 1 if checkdarkblurple == 1: noofdarkblurplepixels += 1 if checkwhite == 1: noofwhitepixels += 1 noofpixels += 1 image_file_object = io.BytesIO() im.save(image_file_object, format='png') image_file_object.seek(0) return image_file_object async with aiohttp.ClientSession() as _: image = await self.bot.loop.run_in_executor(None, imager, im) image = discord.File(fp=image, filename='image.png') blurplenesspercentage = round(((nooftotalpixels/noofpixels)*100), 2) percentblurple = round(((noofblurplepixels/noofpixels)*100), 2) percentdblurple = round(((noofdarkblurplepixels/noofpixels)*100), 2) percentwhite = round(((noofwhitepixels/noofpixels)*100), 2) fields_txt = await self.bot._(ctx.guild,"blurple","check_fields") embed = discord.Embed(title = "", colour = 0x7289DA, description=fields_txt[5]) if blurplenesspercentage>=99.99: embed.add_field(name=fields_txt[0], value=f"{blurplenesspercentage}% :tada:", inline=False) else: embed.add_field(name=fields_txt[0], value=f"{blurplenesspercentage}%", inline=False) embed.add_field(name=fields_txt[1], value=f"{percentblurple}%", inline=True) embed.add_field(name=fields_txt[2], value=f"{percentwhite}%", inline=True) embed.add_field(name=fields_txt[3], value=f"{percentdblurple}%", inline=True) embed.add_field(name="Guide", value=fields_txt[4], inline=False) embed.set_footer(text=fields_txt[6].format(ctx.author)) embed.set_image(url="attachment://image.png") embed.set_thumbnail(url=picture) await ctx.send(embed=embed, file=image) if blurplenesspercentage>95 and str(picture)==str(ctx.author.display_avatar): date = datetime.datetime.today() if not await ctx.bot.get_cog('Utilities').has_blurple_card(ctx.author) and 6<date.day<20 and date.month==5: pr = await self.bot.get_prefix(ctx.message) em = ':tada:' if ctx.guild is not None and ctx.channel.permissions_for(ctx.guild.me).external_emojis: em = '<:blurpletada:575696286905401345>' await ctx.bot.get_cog('Utilities').change_db_userinfo(ctx.author.id,'unlocked_blurple',True) await ctx.send(str(await self.bot._(ctx.channel,'blurple','won-card')).format(ctx.author.mention,pr[-1],em)) @commands.command(aliases=['blurplfy', 'blurplefier']) @commands.cooldown(rate=3, per=90, type=BucketType.user) async def blurplefy(self,ctx, url = None): """Be even more cool, and blurpelize your avatar for this coolest birthday of the century. You can either give a user or an image URL in argument, or attach an image to your message. Plz don't forget to be cool.""" await self.create(ctx,url) async def create(self,ctx,url): picture = None if url is not None: try: user = await commands.UserConverter().convert(ctx,url) picture = str(user.display_avatar) except Exception: picture = url else: link = ctx.message.attachments if len(link) != 0: for image in link: picture = image.url if picture is None: picture = ctx.author.display_avatar try: async with aiohttp.ClientSession() as cs: async with cs.get(str(picture)) as r: response = await r.read() except ValueError: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return try: im = Image.open(BytesIO(response)) except Exception: await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_invalid")).format(ctx.message.author.mention)) return imsize = list(im.size) impixels = imsize[0]*imsize[1] maxpixelcount = 1562500 await ctx.send(str(await self.bot._(ctx.guild,"blurple","check_intro")).format(ctx.message.author.mention)) try: _ = im.info["version"] isgif = True gifloop = int(im.info["loop"]) except Exception: isgif = False if impixels > maxpixelcount: downsizefraction = math.sqrt(maxpixelcount/impixels) im = resizeimage.resize_width(im, (imsize[0]*downsizefraction)) imsize = list(im.size) impixels = imsize[0]*imsize[1] def imager(im): im = im.convert(mode='RGBA') im = ImageEnhance.Contrast(im).enhance(1000) #im = ImageEnhance.Contrast(im).enhance(2.2) im = im.convert(mode='RGBA') img = im.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x, y] if pixel[3] > 220: if sum(pixel[:3])/3 > 222: img[x,y] = WHITE elif sum(pixel[:3])/3 > 100: img[x,y] = BLURPLE elif sum(pixel[:3])/3 > 0.01: img[x,y] = DARK_BLURPLE else: img[x,y] = DARK else: img[x,y] = BLURPLE[:3]+tuple([pixel[3]]) image_file_object = io.BytesIO() im.save(image_file_object, format='png') image_file_object.seek(0) return image_file_object def gifimager(im, _gifloop): frames = [frame.copy() for frame in ImageSequence.Iterator(im)] newgif = [] for frame in frames: frame = frame.convert(mode='RGBA') frame = ImageEnhance.Contrast(frame).enhance(1.7) frame = frame.convert(mode='RGBA') img = frame.load() for x in range(imsize[0]): for y in range(imsize[1]): pixel = img[x, y] if pixel[3] > 230: if sum(pixel[:3])/3 > 222: img[x,y] = WHITE elif sum(pixel[:3])/3 > 100: img[x,y] = BLURPLE elif sum(pixel[:3])/3 > 0.01: img[x,y] = DARK_BLURPLE else: img[x,y] = DARK else: img[x,y] = BLURPLE[:3]+tuple([pixel[3]]) # for x in range(imsize[0]): # for y in range(imsize[1]): # pixel = img[x, y] # if pixel != (255, 255, 255): # img[x, y] = (114, 137, 218) newgif.append(frame) image_file_object = io.BytesIO() gif = newgif[0] gif.save(image_file_object, format='gif', save_all=True, append_images=newgif[1:], loop=0) image_file_object.seek(0) return image_file_object async with aiohttp.ClientSession() as _: if not isgif: image = await self.bot.loop.run_in_executor(None, imager, im) else: image = await self.bot.loop.run_in_executor(None, gifimager, im, gifloop) if not isgif: image = discord.File(fp=image, filename='image.png') else: image = discord.File(fp=image, filename='image.gif') try: fields_txt = await self.bot._(ctx.guild,"blurple","check_fields") embed = discord.Embed(title = "", colour = 0x7289DA, description=fields_txt[5]) embed.set_author(name=await self.bot._(ctx.guild,'blurple','create_title')) if not isgif: embed.set_image(url="attachment://image.png") embed.set_footer(text=str(await self.bot._(ctx.guild,'blurple','create_footer_1')).format(ctx.author)) else: embed.set_image(url="attachment://image.gif") embed.set_footer(text=str(await self.bot._(ctx.guild,'blurple','create_footer_2')).format(ctx.author)) embed.set_thumbnail(url=picture) await ctx.send(embed=embed, file=image) except Exception: await ctx.send(str(await self.bot._(ctx.guild,'blurple','create_footer_2')).format(ctx.author.mention)) def setup(bot): bot.add_cog(BlurpleCog(bot))

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Colab_setup/sample_colab_cell.py

FredAmouzgar/46_Simple_python_Exercise

0

98992

<gh_stars>0 """ Instruction: Copy this code to the first cell of the Jupyter notebook you want to run in the Google Colab. It automatically configures it for rendering. """ import sys, os if 'google.colab' in sys.modules and not os.path.exists('.done'): !wget -q https://raw.githubusercontent.com/FredAmouzgar/python_Exercise/master/Colab_setup/setup_colab.sh -O- | bash !touch .done # Creating a virtual display to draw game images on. if type(os.environ.get("DISPLAY")) is not str or len(os.environ.get("DISPLAY")) == 0: !bash ../xvfb start os.environ['DISPLAY'] = ':1'

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changePositionToIndexUpstream.py

oicr-gsi/bam-statistics

0

44427

#!/usr/bin/python ## my upstream target intervals were of size 1000 each. import sys # use stdin if stdin is full if not sys.stdin.isatty(): indexFile = sys.stdin #otherwise, read from input else: try: input_file = sys.argv[1] except IndexError: message = 'need filename as first argument if stdin is not full' raise IndexError(message) else: indexFile = open(input_file, 'rU') count = 999; start = 0; for line in indexFile: if start==0: print count start = int(line) count=count-1 else: val = int(line) if start == val - 1: print count count=count-1 start = int(line) else: print 999 count = 998 start = int(line)

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ccnpy/tests/test_Name.py

mmosko/ccnpy

1

74549

# Copyright 2019 <NAME> # # 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 array import unittest import ccnpy class Name_Test(unittest.TestCase): def test_from_uri(self): uri='ccnx:/apple/banana/cherry/durian' name = ccnpy.Name.from_uri(uri) wire_format = name.serialize() truth = array.array('B', [0, 0, 0, 39, 0, 1, 0, 5, 97, 112, 112, 108, 101, 0, 1, 0, 6, 98, 97, 110, 97, 110, 97, 0, 1, 0, 6, 99, 104, 101, 114, 114, 121, 0, 1, 0, 6, 100, 117, 114, 105, 97, 110]) self.assertEqual(wire_format, truth, 'incorrect wire format') def test_components(self): uri='ccnx:/apple/banana/cherry/durian' name = ccnpy.Name.from_uri(uri) self.assertEqual(name.count(), 4) self.assertEqual(name[0], 'apple') self.assertEqual(name[1], 'banana') self.assertEqual(name[2], 'cherry') self.assertEqual(name[3], 'durian') def test_deserialize(self): wire_format = array.array('B', [0, 0, 0, 39, 0, 1, 0, 5, 97, 112, 112, 108, 101, 0, 1, 0, 6, 98, 97, 110, 97, 110, 97, 0, 1, 0, 6, 99, 104, 101, 114, 114, 121, 0, 1, 0, 6, 100, 117, 114, 105, 97, 110]) tlv = ccnpy.Tlv.deserialize(wire_format) actual = ccnpy.Name.parse(tlv) expected = ccnpy.Name.from_uri('ccnx:/apple/banana/cherry/durian') self.assertEqual(expected, actual, "Incorrect deserialize")

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codes/blocks/sand.py

shenjackyuanjie/Minecraft

2

121871

def ben_update(): return def ben_random_tick(): return

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assets/src/ba_data/python/bastd/ui/purchase.py

SahandAslani/ballistica

0

162978

# Copyright (c) 2011-2020 <NAME> # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE # SOFTWARE. # ----------------------------------------------------------------------------- """UI related to purchasing items.""" from __future__ import annotations from typing import TYPE_CHECKING import _ba import ba if TYPE_CHECKING: from typing import Any, Dict, List, Optional class PurchaseWindow(ba.Window): """Window for purchasing one or more items.""" def __init__(self, items: List[str], transition: str = 'in_right', header_text: ba.Lstr = None): from ba.internal import get_store_item_display_size from bastd.ui.store import item as storeitemui if header_text is None: header_text = ba.Lstr(resource='unlockThisText', fallback_resource='unlockThisInTheStoreText') if len(items) != 1: raise ValueError('expected exactly 1 item') self._items = list(items) self._width = 580 self._height = 520 uiscale = ba.app.uiscale super().__init__(root_widget=ba.containerwidget( size=(self._width, self._height), transition=transition, toolbar_visibility='menu_currency', scale=(1.2 if uiscale is ba.UIScale.SMALL else 1.1 if uiscale is ba.UIScale.MEDIUM else 1.0), stack_offset=(0, -15) if uiscale is ba.UIScale.SMALL else (0, 0))) self._is_double = False self._title_text = ba.textwidget(parent=self._root_widget, position=(self._width * 0.5, self._height - 30), size=(0, 0), text=header_text, h_align='center', v_align='center', maxwidth=self._width * 0.9 - 120, scale=1.2, color=(1, 0.8, 0.3, 1)) size = get_store_item_display_size(items[0]) display: Dict[str, Any] = {} storeitemui.instantiate_store_item_display( items[0], display, parent_widget=self._root_widget, b_pos=(self._width * 0.5 - size[0] * 0.5 + 10 - ((size[0] * 0.5 + 30) if self._is_double else 0), self._height * 0.5 - size[1] * 0.5 + 30 + (20 if self._is_double else 0)), b_width=size[0], b_height=size[1], button=False) # Wire up the parts we need. if self._is_double: pass # not working else: if self._items == ['pro']: price_str = _ba.get_price(self._items[0]) pyoffs = -15 else: pyoffs = 0 price = self._price = _ba.get_account_misc_read_val( 'price.' + str(items[0]), -1) price_str = ba.charstr(ba.SpecialChar.TICKET) + str(price) self._price_text = ba.textwidget(parent=self._root_widget, position=(self._width * 0.5, 150 + pyoffs), size=(0, 0), text=price_str, h_align='center', v_align='center', maxwidth=self._width * 0.9, scale=1.4, color=(0.2, 1, 0.2)) self._update_timer = ba.Timer(1.0, ba.WeakCall(self._update), timetype=ba.TimeType.REAL, repeat=True) self._cancel_button = ba.buttonwidget( parent=self._root_widget, position=(50, 40), size=(150, 60), scale=1.0, on_activate_call=self._cancel, autoselect=True, label=ba.Lstr(resource='cancelText')) self._purchase_button = ba.buttonwidget( parent=self._root_widget, position=(self._width - 200, 40), size=(150, 60), scale=1.0, on_activate_call=self._purchase, autoselect=True, label=ba.Lstr(resource='store.purchaseText')) ba.containerwidget(edit=self._root_widget, cancel_button=self._cancel_button, start_button=self._purchase_button, selected_child=self._purchase_button) def _update(self) -> None: from ba.internal import have_pro can_die = False # We go away if we see that our target item is owned. if self._items == ['pro']: if have_pro(): can_die = True else: if _ba.get_purchased(self._items[0]): can_die = True if can_die: ba.containerwidget(edit=self._root_widget, transition='out_left') def _purchase(self) -> None: from bastd.ui import getcurrency if self._items == ['pro']: _ba.purchase('pro') else: ticket_count: Optional[int] try: ticket_count = _ba.get_account_ticket_count() except Exception: ticket_count = None if ticket_count is not None and ticket_count < self._price: getcurrency.show_get_tickets_prompt() ba.playsound(ba.getsound('error')) return def do_it() -> None: _ba.in_game_purchase(self._items[0], self._price) ba.playsound(ba.getsound('swish')) do_it() def _cancel(self) -> None: ba.containerwidget(edit=self._root_widget, transition='out_right')

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models/ir_model.py

OSevangelist/vsf-odoo

84

71571

from odoo import fields, models class IrModel(models.Model): _inherit = 'ir.model' rest_api = fields.Boolean('REST API', default=True, help="Allow this model to be fetched through REST API")

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models/Family.py

Eric-Fernandes-529/Final_Project_SW555

0

171104

class Family: ''' This is the class for Family. id is the only variable that is required. If other variable does not exist, it would return None If children does not exist, it would return an empty list all date value are passed in as str, and saved as tuple with formate (year, month, day) ''' def __init__(self, id: str): # from Individual import Individual self.id = id self._husband = None self._wife = None self._marriedDate = None self._divorced = None self._children = [] self._lineNum = {} def get_lineNum(self) -> {}: return self._lineNum def get_id(self) -> str: return self.id def get_husband(self): return self._husband def get_wife(self): return self._wife def get_marriedDate(self) -> tuple: return self._marriedDate def get_divorcedDate(self) -> tuple: return self._divorced def get_children(self) -> list: return self._children def set_lineNum(self, lineNumberDict)->None: self._lineNum = lineNumberDict def set_husband(self, husband) -> None: ##if not isinstance(husband, Individual): raise TypeError("input has to be a Individual type") self._husband = husband def set_wife(self, wife) -> None: ##if not isinstance(wife, Individual): raise TypeError("input has to be a Individual type") self._wife = wife def set_marriedDate(self, married_date: tuple) -> None: ##if not isinstance(married_date, str): raise TypeError("input has to be a str type") if all(isinstance(v, int) for v in married_date): self._marriedDate = married_date return self._marriedDate = self.change_date_formate(married_date) def set_divorcedDate(self, divorced_date: tuple) -> None: ##if not isinstance(divorced_date, str): raise TypeError("input has to be a str type") if all(isinstance(v, int) for v in divorced_date): self._divorcedDate = divorced_date return self._divorced = self.change_date_formate(divorced_date) def set_children(self, children_list: list) -> None: ##if not isinstance(children_list, list): raise TypeError("input has to be a list type") self._children = children_list def add_child(self, child) -> None: ''' this function would add one kid into the children list ''' ##if not isinstance(child, Individual): raise TypeError("input has to be a Individual type") self._children.append(child) def change_date_formate(self, date: list) -> tuple: ''' Would take the string input and convert it into a int tuple:(year, month, day) ''' monthList = {"JAN": 1, "FEB": 2, "MAR": 3, "APR": 4, "MAY": 5, "JUN": 6, "JUL": 7, "AUG": 8, "SEP": 9, "OCT": 10, "NOV": 11, "DEC": 12} return int(date[2]), monthList[date[1]], int(date[0]) def multiple_births_lessOrEqual_than_5(self): # cannot catch multi multiples; not sure if need to from datetime import date today = date.today() try: births = sorted( list(map(lambda i: abs((date(*i) - today).days), [x.get_birthDate() for x in self.get_children()]))) except AttributeError: raise AttributeError("Missing birthdate for children") if len(births) <= 5: return True multi, sameDay, pre = 0, 0, births[0] for i in range(len(births)): if pre == births[i]: multi += 1 sameDay += 1 elif births[i] - pre == 1: multi, sameDay = sameDay + 1, 1 else: multi, sameDay = 1, 1 pre = births[i] if multi >= 5: return False return True def parents_not_too_old(self): if not self._husband or not self._wife: raise AttributeError("Error: missing husband or wife") if not self._husband.get_age() or not self._wife.get_age(): raise AttributeError( "Error: missing age for husband or wife") if not self._husband.get_age() or not self._wife.get_age(): raise AttributeError("Error: missing age for husband or wife") wife_age = self._wife.get_age() husband_age = self._husband.get_age() for child in self._children: if not child.get_age(): raise AttributeError("Error: missing child age") wife_diff = wife_age - child.get_age() husband_diff = husband_age - child.get_age() if wife_diff >= 60 or husband_diff >= 80: return False return True def marriage_before_divorce(self): from datetime import date marriage = self.get_marriedDate() divorce = self.get_divorcedDate() if not marriage: raise AttributeError("Missing marriage date") if not divorce: return True timedelta = date(*marriage) - date(*divorce) return timedelta.days < 0 def marriage_after_14(self) -> bool: from datetime import date if not self._husband or not self._wife or not self._marriedDate: raise AttributeError( "Missing husband/wife/marriedDate") if not self._husband.get_birthDate() or not self._wife.get_birthDate(): raise AttributeError( "Missing birthdate for husband/wife") if not self._husband or not self._wife or not self._marriedDate: raise AttributeError("Missing husband/wife/marriedDate") if not self._husband.get_birthDate() or not self._wife.get_birthDate(): raise AttributeError("Missing birthdate for husband/wife") husbandMarryAge = (date(*self._marriedDate) - date(*self._husband.get_birthDate())).days // 365 wifeMarryAge = (date(*self._marriedDate) - date(*self._wife.get_birthDate())).days // 365 return husbandMarryAge > 14 and wifeMarryAge > 14 def marriage_before_death(self): from datetime import date if not self._husband or not self._wife or not self.get_marriedDate(): raise AttributeError( "Missing husband/wife/marriedDate") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True death = None if not self._husband.get_deathDate(): death = self._wife.get_deathDate() elif not self._wife.get_deathDate(): death = self._husband.get_deathDate() if not self._husband or not self._wife or not self.get_marriedDate(): raise AttributeError("Missing husband/wife/marriedDate") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True death = None if not self._husband.get_deathDate(): death = self._wife.get_deathDate() elif not self._wife.get_deathDate(): death = self._husband.get_deathDate() else: if self._husband.get_deathDate() > self._wife.get_deathDate(): death = self._wife.get_deathDate() else: death = self._husband.get_deathDate() marriage = self._marriedDate timedelta = date(*marriage) - date(*death) return timedelta.days <= 0 def divorce_before_death(self) -> bool: from datetime import date if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True if not self._divorced: return True deathdays = None if not self._husband.get_deathDate(): deathdays = (date(*self._divorced) - date(*self._husband.get_deathDate())).days elif not self._wife.get_deathDate(): deathdays = (date(*self._divorced) - date(*self._wife.get_deathDate())).days else: deathdays = (date(*self._divorced) - date(*self._husband.get_deathDate())).days if deathdays > (date(*self._divorced) - date(*self._wife.get_deathDate())).days: deathdays = (date(*self._divorced) - date(*self._wife.get_deathDate())).days return deathdays < 0 def birth_before_marriage_of_parents(self): if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self.get_marriedDate():raise AttributeError("Missing marrageDate") for c in self._children: if not c.get_birthDate(): raise AttributeError("Missing child birthDate") if c.get_birthDate() <= self.get_marriedDate(): return False return True def birth_before_death_of_parents(self): if not self._husband or not self._wife: raise AttributeError("Missing husband/wife") if not self._husband.get_deathDate() and not self._wife.get_deathDate(): return True if len(self._children) == 0: return True death = self._wife.get_deathDate() hDeath = self._husband.get_deathDate() if not hDeath: for c in self._children: if c.get_birthDate() > death: return False return True hDeath = hDeath + (0, 9, 0) if hDeath[1] > 12: hDeath[1] = hDeath[1] % 12 hDeath[0] = hDeath[0] + 1 if not death: for c in self._children: if c.get_birthDate() > hDeath: return False return True if hDeath < death: if not death and not hDeath: return True if hDeath: hDeath = tuple(map(sum, zip(hDeath, (0,9,0)))) if hDeath[1] > 12: hDeath[1] = hDeath[1] % 12 hDeath[0] = hDeath[0] + 1 if death is None or hDeath < death: death = hDeath for c in self._children: if c.get_birthDate() > death: return False return True def siblings_spacing(self): from datetime import date threshold = [1, 240] # 8 month is ambiguous, let's just assume 8*30=240 days n = len(self.get_children()) if n < 2: return True sumOfDifference = 0 for i in range(n - 1): timedelta = date(*self.get_children()[i].get_birthDate()) - date(*self.get_children()[i + 1].get_birthDate()) sumOfDifference += abs(timedelta.days) return not (threshold[0] < sumOfDifference // (n - 1) < threshold[1]) def fewer_than_15_siblings(self): """ if self._children is empty, it is a empty list which the length is 0 :return: boolean if the length of self._children is less then 15 """ return len(self._children) < 15 def correct_gender_for_role(self): """ throw error when missing husband/wife or missing gender of husband/wife :return: boolean from compare the string of husband and wife gender """ if (not self._husband or not self._wife): raise AttributeError("missing husband or wife") if (not self._husband.get_gender() or not self._wife.get_gender()): raise AttributeError( "missing gender of husband or wife") return self._husband.get_gender() == "M" and self._wife.get_gender() == "F" def male_last_names(self): if not self._husband: raise AttributeError("Missing Father") if not self._husband.get_name(): raise AttributeError("Missing Father's name") check_last_name = self._husband.get_name().split(' ')[1] def dfs(family, last_name): flag = True for child in family.get_children(): if child.get_gender() == None: raise AttributeError("child's gender is not set yet") if child.get_gender() == "F": continue if not child.get_name(): raise AttributeError("Child's name is missing") if child.get_name().split(' ')[1] != last_name: return False for fam in child.get_family(): flag = dfs(fam) and flag return flag return dfs(self, check_last_name) def siblings_should_not_marry(self): if not self._husband or not self._wife: raise AttributeError("Missing husband or wife") if not self._husband.get_parent_family() and not self._wife.get_parent_family(): raise AttributeError("Missing husband and wife parent") return not self._husband.get_parent_family().get_id() == self._wife.get_parent_family().get_id() def order_siblings_by_age(self): """ Need one extra step which filters out the Nones. Not sure if necessary. :return: list of references in the order of descending age """ res = sorted(self.get_children(), key=lambda x: x.get_age(days=True), reverse=True) return list(filter(lambda x: x.get_birthDate() != None, res)) if __name__ == "__main__": pass # from models.Individual import Individual #from models.Individual import Individual # ---------------------------testing cases below---------------------------

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thermo/flash/__init__.py

RoryKurek/thermo

380

188466

# -*- coding: utf-8 -*- '''Chemical Engineering Design Library (ChEDL). Utilities for process modeling. Copyright (C) 2019, 2020 <NAME> <<EMAIL>> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. This module contains classes and functions for performing flash calculations. For reporting bugs, adding feature requests, or submitting pull requests, please use the `GitHub issue tracker <https://github.com/CalebBell/thermo/>`_. .. contents:: :local: Main Interfaces =============== Pure Components --------------- .. autoclass:: FlashPureVLS :show-inheritance: :members: __init__ :exclude-members: __init__ Vapor-Liquid Systems -------------------- .. autoclass:: FlashVL :show-inheritance: :members: __init__ :exclude-members: __init__ Vapor and Multiple Liquid Systems --------------------------------- .. autoclass:: FlashVLN :show-inheritance: :members: __init__ :exclude-members: __init__ Base Flash Class ---------------- .. autoclass:: Flash :show-inheritance: :members: flash, plot_TP :exclude-members: Specific Flash Algorithms ========================= It is recommended to use the Flash classes, which are designed to have generic interfaces. The implemented specific flash algorithms may be changed in the future, but reading their source code may be helpful for instructive purposes. ''' from . import flash_utils from . import flash_base from . import flash_vl from . import flash_vln from . import flash_pure_vls from .flash_utils import * from .flash_base import * from .flash_vl import * from .flash_vln import * from .flash_pure_vls import * __all__ = (flash_utils.__all__ + flash_base.__all__ + flash_vl.__all__ + flash_vln.__all__ + flash_pure_vls.__all__)

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improved_ddm/run_multihead_split.py

mlii/variational-continual-learning

0

168059

import numpy as np import tensorflow as tf import gzip import cPickle import sys sys.path.extend(['alg/']) import vcl import coreset import utils class SplitMnistGenerator(): def __init__(self): # Open data file f = gzip.open('data/mnist.pkl.gz', 'rb') train_set, valid_set, test_set = cPickle.load(f) f.close() # Define train and test data self.X_train = np.vstack((train_set[0], valid_set[0])) self.X_test = test_set[0] self.train_label = np.hstack((train_set[1], valid_set[1])) self.test_label = test_set[1] # split MNIST task1 = [0, 1] task2 = [2, 3] task3 = [4, 5] task4 = [6, 7] task5 = [8, 9] self.sets = [task1, task2, task3, task4, task5] self.max_iter = len(self.sets) self.out_dim = 0 # Total number of unique classes self.class_list = [] # List of unique classes being considered, in the order they appear for task_id in range(self.max_iter): for class_index in range(len(self.sets[task_id])): if self.sets[task_id][class_index] not in self.class_list: # Convert from MNIST digit numbers to class index number by using self.class_list.index(), # which is done in self.classes self.class_list.append(self.sets[task_id][class_index]) self.out_dim = self.out_dim + 1 # self.classes is the classes (with correct indices for training/testing) of interest at each task_id self.classes = [] for task_id in range(self.max_iter): class_idx = [] for i in range(len(self.sets[task_id])): class_idx.append(self.class_list.index(self.sets[task_id][i])) self.classes.append(class_idx) self.cur_iter = 0 def get_dims(self): # Get data input and output dimensions return self.X_train.shape[1], self.out_dim def next_task(self): if self.cur_iter >= self.max_iter: raise Exception('Number of tasks exceeded!') else: next_x_train = [] next_y_train = [] next_x_test = [] next_y_test = [] # Loop over all classes in current iteration for class_index in range(np.size(self.sets[self.cur_iter])): # Find the correct set of training inputs train_id = np.where(self.train_label == self.sets[self.cur_iter][class_index])[0] # Stack the training inputs if class_index == 0: next_x_train = self.X_train[train_id] else: next_x_train = np.vstack((next_x_train, self.X_train[train_id])) # Initialise next_y_train to zeros, then change relevant entries to ones, and then stack next_y_train_interm = np.zeros((len(train_id), self.out_dim)) next_y_train_interm[:, self.classes[self.cur_iter][class_index]] = 1 if class_index == 0: next_y_train = next_y_train_interm else: next_y_train = np.vstack((next_y_train, next_y_train_interm)) # Repeat above process for test inputs test_id = np.where(self.test_label == self.sets[self.cur_iter][class_index])[0] if class_index == 0: next_x_test = self.X_test[test_id] else: next_x_test = np.vstack((next_x_test, self.X_test[test_id])) next_y_test_interm = np.zeros((len(test_id), self.out_dim)) next_y_test_interm[:, self.classes[self.cur_iter][class_index]] = 1 if class_index == 0: next_y_test = next_y_test_interm else: next_y_test = np.vstack((next_y_test, next_y_test_interm)) self.cur_iter += 1 return next_x_train, next_y_train, next_x_test, next_y_test def reset(self): self.cur_iter = 0 store_weights = True # Store weights after training on each task (for plotting later) multi_head = True # Multi-head or single-head network hidden_size = [200] # Size and number of hidden layers batch_size = 256 # Batch size no_epochs = 600 # Number of training epochs per task # No coreset tf.compat.v1.reset_default_graph() random_seed = 0 tf.compat.v1.set_random_seed(random_seed+1) np.random.seed(random_seed) path = 'model_storage/split/' # Path where to store files data_gen = SplitMnistGenerator() coreset_size = 0 vcl_result = vcl.run_vcl_shared(hidden_size, no_epochs, data_gen, coreset.rand_from_batch, coreset_size, batch_size, path, multi_head, store_weights=store_weights) # Store accuracies np.savez(path + 'test_acc.npz', acc=vcl_result) # Random coreset tf.compat.v1.reset_default_graph() random_seed = 0 tf.compat.v1.set_random_seed(random_seed+1) np.random.seed(random_seed) path = 'model_storage/split_coreset/' # Path where to store files data_gen = SplitMnistGenerator() coreset_size = 40 vcl_result_coresets = vcl.run_vcl_shared(hidden_size, no_epochs, data_gen, coreset.rand_from_batch, coreset_size, batch_size, path, multi_head, store_weights=store_weights) # Store accuracies np.savez(path + 'test_acc.npz', acc=vcl_result_coresets) # Plot average accuracy utils.plot('model_storage/split_mnist_', vcl_result, vcl_result_coresets)

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django_push/__init__.py

bwold001/django-push

38

1615540

__version__ = '1.1' UA = 'django-push/{0}'.format(__version__)

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catalog/client/services/catalog.py

eoss-cloud/madxxx_catalog_api

0

11611

<gh_stars>0 #-*- coding: utf-8 -*- """ EOSS catalog system functionality for the catalog endpoint """ from utilities.web_utils import remote_file_exists __author__ = "<NAME>, <NAME>" __copyright__ = "Copyright 2016, EOSS GmbH" __credits__ = ["<NAME>", "<NAME>"] __license__ = "GPL" __version__ = "1.0.0" __maintainer__ = "<NAME>" __email__ = "<EMAIL>" __status__ = "Production" import datetime import ujson import time import dateparser import falcon try: import cStringIO as StringIO except ImportError: import StringIO import csv from xlsxwriter import Workbook from dateutil.parser import parse import numpy from sqlalchemy import and_ import logging from collections import defaultdict from model.orm import Catalog_Dataset, Spatial_Reference from api import General_Structure from .db_calls import Persistance from . import getKeysFromDict from .tools import get_base_url, can_zip_response, compress_body, serialize, make_GeoJson from api_logging import logger def date_handler(obj): if hasattr(obj, 'isoformat'): return obj.isoformat() else: raise TypeError GRID_SYSTEMS = {'Sentinel - 2A': 10, 'LANDSAT_ETM': 11, 'LANDSAT_ETM_SLC_OFF': 11, 'OLI_TIRS': 11, 'TIRS': 11} class Catalog(object): """ EOSS catalog class from web API """ def __init__(self): self.logger = logging.getLogger('eoss.' + __name__) self.aggregations = defaultdict(list) for agg in Persistance().get_all_sensor_aggregations(): self.aggregations[agg.aggregation_name.lower()].append(agg) def _query_(self, areas, dates, sensors, clouds): sensors_filter = list() grid_list = defaultdict(set) for sensor_grid in set(GRID_SYSTEMS.values()): if 'ref_group' in areas[0].keys(): ref_type_id, ref_id = areas[0]['ref_group'], areas[0]['ref_id'] spatial_query = Persistance().get_reference_by_sensorgrid(ref_id, ref_type_id, sensor_grid) elif 'aoi' in areas[0].keys(): aoi = areas[0]['aoi'] spatial_query = Persistance().get_referencebyaoi(aoi, sensor_grid) for grid in spatial_query.all(): grid_list[sensor_grid].add(grid) if len(grid_list) == 0: description = 'Please specify valid reference object for data. (type:%s, id:%s)' \ % (ref_type_id, ref_id) raise falcon.HTTPBadRequest('SensorGrid', description, href='http://docs.example.com/auth') joint_gridset = grid_list[10] | grid_list[11] # TODO: better grid system handling from extra table? for item in sensors: sensor, level = item['sensor_name'], item['level'] if len(sensor) > 0 and len(level) > 0: sensors_filter.append(and_(Catalog_Dataset.level == level, Catalog_Dataset.sensor == sensor)) elif len(sensor) == 0 and len(level) > 0: sensors_filter.append(Catalog_Dataset.level == level) elif len(sensor) > 0 and len(level) == 0: sensors_filter.append(Catalog_Dataset.sensor == sensor) dates_filter = list() for item in dates: # ExtJS POST requests has provides unicode body if type(item["start_date"]) is unicode: item["start_date"] = parse(item["start_date"]) if type(item["end_date"]) is unicode: item["end_date"] = parse(item["end_date"]) dates_filter.append( and_(Catalog_Dataset.acq_time >= item["start_date"].isoformat(), Catalog_Dataset.acq_time <= item["end_date"].isoformat())) query = Persistance().find_dataset(dates_filter, sensors_filter, grid_list, joint_gridset, clouds) return query def _get_datasets(self, query): query_result = list() for ds in query: values = dict() types = dict() for k, v in ds.__dict__.iteritems(): if '_' != k[0]: values[k] = v types[k] = type(v) x = General_Structure(values, types) x.__class__.__name__ = 'Catalog_Dataset' query_result.append(serialize(x, as_json=False)['data']) return query_result # TODO: tiles list as input - only first will be returned or exception thrown ! def _query_tile_geom(self, tiles): tile_objs = Persistance().get_tile_geom(tiles) return tile_objs.all() def _export_query(self, found_dataset): row_keys = ['tile_identifier', 'entity_id', 'acq_time', 'clouds'] resources = [('resources', 'metadata'), ('resources', 'quicklook')] row = list() rows = list() for k in row_keys: row.append(k) for k in resources: row.append(' '.join(k)) row.append('data') rows.append(row) for ds in found_dataset: row = list() for k in row_keys: row.append(ds.get(k)) for k in resources: row.append(getKeysFromDict(ds, k)) if ds.get('sensor') in ['LANDSAT_TM', 'LANDSAT_ETM', 'LANDSAT_ETM_SLC_OFF']: if 'google' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'google', 'link'))) elif 'usgs' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'usgs', 'link'))) else: row.append('?') elif ds.get('sensor') in ['OLI_TIRS', 'OLI', 'TIRS']: if 's3public' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 's3public', 'zip'))) elif 'google' in ds.get('resources').keys(): row.append(getKeysFromDict(ds, ('resources', 'google', 'link'))) elif ds.get('sensor') in ['Sentinel-2A']: if 's3public' in ds.get('resources').keys(): if getKeysFromDict(ds, ('resources', 's3public')) != None: row.append(getKeysFromDict(ds, ('resources', 's3public', 'zip'))) else: row.append('?') else: row.append('?') rows.append(row) return rows class CatalogApi(Catalog): def __init__(self, my_router): Catalog.__init__(self) self.router = my_router def on_get(self, req, resp, format, check_resources=False): """Handles GET requests http://localhost:8000/catalog/search/result.json?from_date=2016-05-01&to_date=2016-06-02&sensor=sentinel2&ref_group=9&ref_id=73&clouds=50 """ BASE_URL = get_base_url(req.url) start_time = time.time() query_filter = req.params results = dict() results['action'] = 'catalog search' results['action-time'] = str(datetime.datetime.now()) results.update({'query': query_filter}) dates = list() sensor_list = list() try: for date_string in ['from_date', 'to_date']: date = dateparser.parse(req.params[date_string]) if date is None: description = 'Please format date propery, used %s:%s.' % (date_string, date) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') else: dates.append(date) if dates[0] == dates[1]: description = 'Given dates didnt cover date range. Please correct date span. (%s-%s)' \ % (req.params['from_date'], req.params['to_date']) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') elif dates[0] > dates[1]: description = 'Given end date is before start date. Please reverse dates. (%s-%s)' \ % (req.params['from_date'], req.params['to_date']) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') if not req.params['sensor'].lower() in self.aggregations.keys(): description = 'Sensor label is unknown in aggregation table, use %s' % str(map(str, self.aggregations.keys())) raise falcon.HTTPBadRequest('DateFormat', description, href='http://docs.example.com/auth') for agg in self.aggregations[req.params['sensor'].lower()]: sensor_list.append({"sensor_name": agg.sensor, "level": agg.level}) ref_group, ref_id, clouds = int(req.params['ref_group']), int(req.params['ref_id']), int(req.params['clouds']) except KeyError, e: description = 'Search key: %s missing in query.' % e raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') except ValueError, e: description = 'Given parameters contain bad values: %s'% str(e) raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') query = self._query_([{"ref_group": ref_group, "ref_id": ref_id}], [{"start_date": dates[0], "end_date": dates[1]}], sensor_list, clouds) query_struct = {'area':[{"ref_group": ref_group, "ref_id": ref_id}], 'dates':[{"start_date": dates[0], "end_date": dates[1]}], 'sensors':sensor_list, 'clouds':clouds } found_dataset = self._get_datasets(query) logger.info('[GET] /catalog/search/result.%s' % format, extra={x:str(y) for x,y in query_struct.iteritems()}) if check_resources: for ds in found_dataset: if 's3public' in ds['resources'].keys(): if 'zip' in ds['resources']['s3public'].keys(): if not remote_file_exists( ds['resources']['s3public']['zip']): print '%s missing' % ds['resources']['s3public']['zip'] if format.lower() == 'json': if 'search/count' in req.url: results['count'] = query.count() else: results['count'] = query.count() results['found_dataset'] = found_dataset results['found_tiles'] = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) results['found_resources'] = [BASE_URL + self.router.reverse('dataset_entity', entity_id=x['entity_id']) for x in results['found_dataset']] results['processing_time'] = time.time() - start_time elif format.lower() == 'geojson': tilegrids = defaultdict(lambda: defaultdict(list)) geoms, attrs = list(), list() for x in found_dataset: tilegrids[x['tile_identifier']]['acq_time'].append(x['acq_time']) # tilegrids[x['tile_identifier']]['acq_time_js'].append( # int(time.mktime(dateparser.parse(x['acq_time']).timetuple())) * 1000) tilegrids[x['tile_identifier']]['tile_identifier'].append(x['tile_identifier']) tilegrids[x['tile_identifier']]['clouds'].append(x['clouds']) for tile_id in tilegrids.keys(): tilegrids[tile_id]['count'] = len(tilegrids[tile_id]['clouds']) tilegrids[tile_id]['tile_identifier'] = tilegrids[tile_id]['tile_identifier'][0] tiles_dict = dict() if len(tilegrids.keys()) > 0: for ref_name, geom in self._query_tile_geom(tilegrids.keys()): tiles_dict[ref_name] = geom for tile_id in tilegrids.keys(): geoms.append(ujson.loads(tiles_dict[tile_id])) attrs.append(tilegrids[tile_id]) results = make_GeoJson(geoms, attrs) elif format.lower() == 'csv': rows = self._export_query(found_dataset) si = StringIO.StringIO() cw = csv.writer(si, delimiter='\t') for row in rows: cw.writerow(row) results = si.getvalue().strip('\r\n') elif format.lower() == 'xlsx': rows = self._export_query(found_dataset) strIO = StringIO.StringIO() workbook = Workbook(strIO, {'in_memory': True, 'constant_memory': True}) bold = workbook.add_format({'bold': True}) big_bold = workbook.add_format({'bold': True, 'size': 20}) italic = workbook.add_format({'italic': True}) worksheet = workbook.add_worksheet(name='EOSS analysis') worksheet.write(0, 0, 'EOSS data analysis', big_bold) ref_obj = Persistance().get_reference(query_filter.get('ref_id'), query_filter.get('ref_group')).one() query_filter['reference_name'] = ref_obj.ref_name query_filter['reference_type'] = ref_obj.referencetype.name # {'clouds': '60', 'ref_id': '5502', 'from_date': '09/07/2016', 'to_date': '10/07/2016', 'ref_group': '12', 'sensor': 'Sentinel2'} r = 3 worksheet.write(r - 1, 0, 'query filter:', big_bold) for c, k in enumerate(['sensor', 'from_date', 'to_date', 'clouds', 'reference_name', 'reference_type']): worksheet.write(r + c, 0, k, bold) worksheet.write(r + c, 1, query_filter[k]) r = 13 worksheet.write(r - 2, 0, 'query set:', big_bold) for c, k in enumerate(rows[0]): worksheet.write(r - 1, c, k, bold) for values in rows[1:]: for c, v in enumerate(values): worksheet.write(r, c, v) r += 1 workbook.close() strIO.seek(0) results = strIO.read() elif format.lower() == 'hist': found_tiles = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) result_list = [] first = dict() first['tile_identifier'] = 'percentagelabel' first['span'] = 100 result_list.append(first) data = numpy.zeros((len(found_dataset))) tileslist = [] i = 0 for x in found_dataset: tileslist.append(x['tile_identifier']) data[i] = float(x['clouds']) i = i + 1 for t in found_tiles: ix = numpy.array(tileslist) == t subset_clouds = data[ix] num_scenes = sum(ix) hist_abs = numpy.histogram(subset_clouds, bins=[-1] + range(0, 120, 20)) hist_rel = hist_abs[0] * 1.0 / num_scenes hist_struct = dict() hist_struct['tile_identifier'] = t hist_struct['span'] = 100 hist_struct['scenes_perc_-1'] = hist_rel[0] hist_struct['scenes_perc_20'] = hist_rel[1] hist_struct['scenes_perc_40'] = hist_rel[2] hist_struct['scenes_perc_60'] = hist_rel[3] hist_struct['scenes_perc_80'] = hist_rel[4] hist_struct['scenes_perc_100'] = hist_rel[5] hist_struct['scenes_abs_-1'] = hist_abs[0][0] hist_struct['scenes_abs_20'] = hist_abs[0][1] hist_struct['scenes_abs_40'] = hist_abs[0][2] hist_struct['scenes_abs_60'] = hist_abs[0][3] hist_struct['scenes_abs_80'] = hist_abs[0][4] hist_struct['scenes_abs_100'] = hist_abs[0][5] result_list.append(hist_struct) results['found_tiles'] = result_list resp.status = falcon.HTTP_200 if can_zip_response(req.headers): if format.lower() in ['hist', 'json', 'geojson']: resp.set_header('Content-Type', 'application/json') resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(ujson.dumps(results)) elif format.lower() == 'csv': resp.set_header('Content-Type', 'text/csv') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('csv')) resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(results) elif format.lower() == 'xlsx': resp.set_header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('xlsx')) resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(results) else: if format.lower() in ['hist', 'json', 'geojson']: resp.set_header('Content-Type', 'application/json') resp.body = ujson.dumps(results) elif format.lower() == 'csv': resp.set_header('Content-Type', 'text/csv') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('csv')) resp.body = results elif format.lower() == 'xlsx': resp.set_header('Content-Type', 'application/vnd.openxmlformats-officedocument.spreadsheetml.sheet') resp.set_header('Content-disposition', 'attachment;filename=%s;' % self.create_output_name('xlsx')) resp.body = results def create_output_name(self, extension): return 'EOSS_analysis_%s.%s' % (datetime.datetime.now().isoformat(), extension) def on_post(self, req, resp, format): """Handles POST requests { "daterange": [{ "start_date": "05/31/2000", "end_date": "07/02/2003" }], "clouds": 1, "sensors": [ {"sensor_name": "LANDSAT_ETM", "level": "" }], "areas": [{ "ref_group": 12, "ref_id": 6208 }] } {"clouds":20,"daterange":[{"start_date":"09/02/2015","end_date":"09/14/2016"}], "sensors":[{"name":"landsat"}], "areas":[{"ref_id":362,"ref_group":"9"}]} """ # TODO: loop over areas sensor_list = list() results = dict() start_time = time.time() output = StringIO.StringIO() while True: chunk = req.stream.read(4096) if not chunk: break output.write(chunk) body = output.getvalue() output.close() try: struct = ujson.loads(body.decode('utf-8')) except ValueError, e: # try decode x-www-form-urlencoded query_str = falcon.util.uri.decode(body.decode('utf-8')) query_str = query_str[query_str.find('{'):query_str.rfind('}') + 1] try: struct = ujson.loads(query_str) except ValueError, e: description = 'Give request is no valid JSON nor urlencoded psot body.' raise falcon.HTTPUnsupportedMediaType(description, href='http://docs.example.com/auth') try: for s in struct['sensors']: if 'sensor_name' in s.keys() and 'level' in s.keys(): sensor_list.append(s) elif 'name' in s.keys(): if not s['name'].lower() in self.aggregations.keys(): description = 'Sensor label is unknown in aggregation table' raise falcon.HTTPBadRequest('Catalog', description, href='http://docs.example.com/auth') for agg in self.aggregations[s['name'].lower()]: sensor_list.append({"sensor_name": agg.sensor, "level": agg.level}) else: description = 'Sensor is not specified in query' raise falcon.HTTPBadRequest('Catalog', description, href='http://docs.example.com/auth') query = self._query_(struct['areas'], struct['daterange'], sensor_list, struct['clouds']) query_struct = {'area': struct['areas'], 'dates': struct['daterange'], 'sensors': sensor_list, 'clouds': struct['clouds'] } logger.info('[POST] /catalog/search/result.%s' % format, extra={x:str(y) for x,y in query_struct.iteritems()}) except KeyError, e: description = 'Search key: %s missing in query.' % e raise falcon.HTTPBadRequest('KeyError', description, href='http://docs.example.com/auth') results['count'] = query.count() found_dataset = self._get_datasets(query) results['found_dataset'] = found_dataset results['found_tiles'] = sorted(list(set([x['tile_identifier'] for x in found_dataset]))) # results.update({'query': struct}) resp.body = ujson.dumps(results) resp.status = falcon.HTTP_200 results['processing_time'] = time.time() - start_time if can_zip_response(req.headers): resp.set_header('Content-Type', 'application/json') resp.set_header('Content-Encoding', 'gzip') resp.body = compress_body(ujson.dumps(results)) else: resp.set_header('Content-Type', 'application/json') resp.body = ujson.dumps(results)

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wmt-etl/config.py

ministryofjustice/hmpps-wmt

3

31555

import os DB_SERVER = os.getenv('WMT_DB_SERVER', 'localhost') DB_NAME = os.getenv('WMT_DB_NAME', 'wmt_db') DB_USERNAME = os.getenv('WMT_DB_USERNAME', 'wmt') DB_PASSWORD = os.getenv('WMT_DB_PASSWORD', '<PASSWORD>')

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