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#!/usr/bin/env python |
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# -*- coding: UTF-8 -*- |
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# Isomer - The distributed application framework |
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# ============================================== |
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# Copyright (C) 2011-2020 Heiko 'riot' Weinen <[email protected]> and others. |
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# |
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# This program is free software: you can redistribute it and/or modify |
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# it under the terms of the GNU Affero General Public License as published by |
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# the Free Software Foundation, either version 3 of the License, or |
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# (at your option) any later version. |
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# |
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# This program is distributed in the hope that it will be useful, |
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# but WITHOUT ANY WARRANTY; without even the implied warranty of |
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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# GNU Affero General Public License for more details. |
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# |
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# You should have received a copy of the GNU Affero General Public License |
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# along with this program. If not, see <http://www.gnu.org/licenses/>. |
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""" |
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Miscellaneous standard functions for Isomer |
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""" |
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import SecretColors |
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import bcrypt |
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import pytz |
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from datetime import datetime |
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from random import choice |
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from typing import AnyStr, Optional |
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from uuid import uuid4 |
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from isomer.logger import isolog, warn |
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def std_salt() -> str: |
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"""Generates a secure cryptographical salt |
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""" |
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return bcrypt.gensalt().decode("utf-8") |
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def std_hash(word: AnyStr, salt: AnyStr): |
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"""Generates a cryptographically strong (bcrypt) password hash with a given |
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salt added.""" |
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try: |
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password: bytes = word.encode("utf-8") |
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except UnicodeDecodeError: |
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password = word |
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if isinstance(salt, str): |
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salt_bytes = salt.encode("utf-8") |
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else: |
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salt_bytes = salt |
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password_hash = bcrypt.hashpw(password, salt_bytes).decode("ascii") |
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return password_hash |
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def std_now(delta=None, date_format="iso", tz="UTC"): |
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"""Return current timestamp in ISO format""" |
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now = datetime.now(tz=pytz.timezone(tz)) |
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if delta is not None: |
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now = now + delta |
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if date_format == "iso": |
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result = now.isoformat() |
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elif date_format == "germandate": |
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result = now.strftime("%d.%m.%Y") |
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else: |
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result = now |
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return result |
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def std_datetime(date, date_format="%d.%m.%Y", tz="UTC"): |
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"""Return something that looks like a date into a timestamp in ISO format""" |
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if isinstance(date, tuple): |
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now = datetime(*date) |
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elif isinstance(date, str): |
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if date_format == 'iso': |
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now = datetime.fromisoformat(date) |
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else: |
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now = datetime.strptime(date, date_format) |
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else: |
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isolog("Could not convert date:", date, date_format, tz, pretty=True, lvl=warn) |
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return date |
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now = now.astimezone(pytz.timezone(tz)) |
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result = now.isoformat() |
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return result |
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def std_uuid(): |
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"""Return string representation of a new UUID4""" |
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return str(uuid4()) |
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def std_color(palette_name=None): |
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"""Generate random default color""" |
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if palette_name is None: |
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palette_name = "ibm" |
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color = SecretColors.Palette(palette_name, show_warning=False).random() |
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return color |
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# def std_human_uid(kind: Literal['animal', 'place', 'color'] = None) -> str: |
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def std_human_uid(kind: Optional[str] = None) -> str: |
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"""Return a random generated human-friendly phrase as low-probability unique id |
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:param kind: Specify the type of id (animal, place, color or None) |
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:return: Human readable ID |
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:rtype: str |
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""" |
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kind_list = radio_alphabet |
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if kind == "animal": |
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kind_list = animals |
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elif kind == "place": |
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kind_list = places |
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name = "{color} {adjective} {kind} of {attribute}".format( |
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color=choice(colors), |
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adjective=choice(adjectives), |
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kind=choice(kind_list), |
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attribute=choice(attributes), |
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) |
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return name |
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def std_table(rows): |
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"""Return a formatted table of given rows""" |
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result = "" |
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if len(rows) > 1: |
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headers = rows[0]._fields |
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lens = [] |
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for i in range(len(rows[0])): |
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lens.append( |
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len(max([x[i] for x in rows] + [headers[i]], key=lambda x: len(str(x)))) |
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) |
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formats = [] |
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hformats = [] |
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for i in range(len(rows[0])): |
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if isinstance(rows[0][i], int): |
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formats.append("%%%dd" % lens[i]) |
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else: |
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formats.append("%%-%ds" % lens[i]) |
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hformats.append("%%-%ds" % lens[i]) |
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pattern = " | ".join(formats) |
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hpattern = " | ".join(hformats) |
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separator = "-+-".join(["-" * n for n in lens]) |
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result += hpattern % tuple(headers) + " \n" |
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result += separator + "\n" |
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for line in rows: |
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result += pattern % tuple(t for t in line) + "\n" |
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elif len(rows) == 1: |
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row = rows[0] |
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hwidth = len(max(row._fields, key=lambda x: len(x))) |
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for i in range(len(row)): |
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result += "%*s = %s" % (hwidth, row._fields[i], row[i]) + "\n" |
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return result |
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colors = ["Red", "Orange", "Yellow", "Green", "Cyan", "Blue", "Violet", "Purple"] |
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adjectives = [ |
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"abundant", |
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"adorable", |
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"agreeable", |
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"alive", |
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"ancient", |
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"angry", |
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"beautiful", |
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"better", |
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"bewildered", |
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"big", |
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"bitter", |
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"boiling", |
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"brave", |
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"breeze", |
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"brief", |
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"broad", |
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"broken", |
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"bumpy", |
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"calm", |
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"careful", |
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"chilly", |
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"chubby", |
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"circular", |
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"clean", |
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"clever", |
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"clumsy", |
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"cold", |
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"colossal", |
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"cooing", |
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"cool", |
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"creepy", |
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"crooked", |
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"cuddly", |
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"curly", |
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"curved", |
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"damaged", |
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"damp", |
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"deafening", |
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"deep", |
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"defeated", |
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"delicious", |
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"delightful", |
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"dirty", |
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"drab", |
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"dry", |
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"dusty", |
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"eager", |
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"early", |
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"easy", |
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"elegant", |
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"embarrassed", |
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"empty", |
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"faint", |
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"faithful", |
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"famous", |
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"fancy", |
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"fast", |
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"fat", |
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"few", |
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"fierce", |
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"flaky", |
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"flat", |
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"fluffy", |
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"freezing", |
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"fresh", |
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"full", |
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"gentle", |
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"gifted", |
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"gigantic", |
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"glamorous", |
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"greasy", |
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"great", |
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"grumpy", |
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"handsome", |
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"happy", |
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"heavy", |
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"helpful", |
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"helpless", |
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"high", |
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"hissing", |
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"hollow", |
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"hot", |
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"huge", |
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"icy", |
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"immense", |
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"important", |
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"inexpensive", |
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"itchy", |
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"jealous", |
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"jolly", |
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"juicy", |
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"kind", |
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"large", |
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"late", |
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"lazy", |
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"light", |
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"little", |
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"lively", |
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"long", |
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"loose", |
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"loud", |
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"low", |
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"magnificent", |
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"mammoth", |
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"many", |
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"massive", |
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"melodic", |
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"melted", |
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"miniature", |
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"modern", |
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"mushy", |
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"mysterious", |
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"narrow", |
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"nervous", |
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"nice", |
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"noisy", |
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"numerous", |
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"nutritious", |
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"obedient", |
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"obnoxious", |
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"odd", |
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"old", |
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"old-fashioned", |
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"panicky", |
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"petite", |
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"plain", |
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"powerful", |
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"prickly", |
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"proud", |
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"puny", |
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"purring", |
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"quaint", |
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"quick", |
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"quiet", |
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"rainy", |
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"rapid", |
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"raspy", |
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"relieved", |
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"rich", |
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"round", |
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"salty", |
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"scary", |
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"scrawny", |
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"screeching", |
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"shallow", |
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"short", |
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"shy", |
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"silly", |
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"skinny", |
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"slow", |
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"small", |
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"sparkling", |
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"sparse", |
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"square", |
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"steep", |
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"sticky", |
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"straight", |
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"strong", |
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"substantial", |
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"sweet", |
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"swift", |
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"tall", |
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"tart", |
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"tasteless", |
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"teeny", |
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"tiny", |
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"tender", |
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"thankful", |
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|
|
"thoughtless", |
|
351
|
|
|
"thundering", |
|
352
|
|
|
"uneven", |
|
353
|
|
|
"uninterested", |
|
354
|
|
|
"unsightly", |
|
355
|
|
|
"uptight", |
|
356
|
|
|
"vast", |
|
357
|
|
|
"victorious", |
|
358
|
|
|
"voiceless", |
|
359
|
|
|
"warm", |
|
360
|
|
|
"weak", |
|
361
|
|
|
"wet", |
|
362
|
|
|
"wet", |
|
363
|
|
|
"whispering", |
|
364
|
|
|
"wide", |
|
365
|
|
|
"wide-eyed", |
|
366
|
|
|
"witty", |
|
367
|
|
|
"wooden", |
|
368
|
|
|
"worried", |
|
369
|
|
|
"wrong", |
|
370
|
|
|
"young", |
|
371
|
|
|
"yummy", |
|
372
|
|
|
"zealous", |
|
373
|
|
|
] |
|
374
|
|
|
animals = [ |
|
375
|
|
|
"Aardvark", |
|
376
|
|
|
"Abyssinian", |
|
377
|
|
|
"Affenpinscher", |
|
378
|
|
|
"Akbash", |
|
379
|
|
|
"Akita", |
|
380
|
|
|
"Albatross", |
|
381
|
|
|
"Alligator", |
|
382
|
|
|
"Angelfish", |
|
383
|
|
|
"Ant", |
|
384
|
|
|
"Anteater", |
|
385
|
|
|
"Antelope", |
|
386
|
|
|
"Armadillo", |
|
387
|
|
|
"Avocet", |
|
388
|
|
|
"Axolotl", |
|
389
|
|
|
"Baboon", |
|
390
|
|
|
"Badger", |
|
391
|
|
|
"Balinese", |
|
392
|
|
|
"Bandicoot", |
|
393
|
|
|
"Barb", |
|
394
|
|
|
"Barnacle", |
|
395
|
|
|
"Barracuda", |
|
396
|
|
|
"Bat", |
|
397
|
|
|
"Beagle", |
|
398
|
|
|
"Bear", |
|
399
|
|
|
"Beaver", |
|
400
|
|
|
"Beetle", |
|
401
|
|
|
"Binturong", |
|
402
|
|
|
"Bird", |
|
403
|
|
|
"Birman", |
|
404
|
|
|
"Bison", |
|
405
|
|
|
"Bloodhound", |
|
406
|
|
|
"Bobcat", |
|
407
|
|
|
"Bombay", |
|
408
|
|
|
"Bongo", |
|
409
|
|
|
"Bonobo", |
|
410
|
|
|
"Booby", |
|
411
|
|
|
"Budgerigar", |
|
412
|
|
|
"Buffalo", |
|
413
|
|
|
"Bulldog", |
|
414
|
|
|
"Bullfrog", |
|
415
|
|
|
"Burmese", |
|
416
|
|
|
"Butterfly", |
|
417
|
|
|
"Caiman", |
|
418
|
|
|
"Camel", |
|
419
|
|
|
"Capybara", |
|
420
|
|
|
"Caracal", |
|
421
|
|
|
"Cassowary", |
|
422
|
|
|
"Cat", |
|
423
|
|
|
"Caterpillar", |
|
424
|
|
|
"Catfish", |
|
425
|
|
|
"Centipede", |
|
426
|
|
|
"Chameleon", |
|
427
|
|
|
"Chamois", |
|
428
|
|
|
"Cheetah", |
|
429
|
|
|
"Chicken", |
|
430
|
|
|
"Chihuahua", |
|
431
|
|
|
"Chimpanzee", |
|
432
|
|
|
"Chinchilla", |
|
433
|
|
|
"Chinook", |
|
434
|
|
|
"Chipmunk", |
|
435
|
|
|
"Cichlid", |
|
436
|
|
|
"Coati", |
|
437
|
|
|
"Cockroach", |
|
438
|
|
|
"Collie", |
|
439
|
|
|
"Coral", |
|
440
|
|
|
"Cougar", |
|
441
|
|
|
"Cow", |
|
442
|
|
|
"Coyote", |
|
443
|
|
|
"Crab", |
|
444
|
|
|
"Crane", |
|
445
|
|
|
"Crocodile", |
|
446
|
|
|
"Cuscus", |
|
447
|
|
|
"Cuttlefish", |
|
448
|
|
|
"Dachshund", |
|
449
|
|
|
"Dalmatian", |
|
450
|
|
|
"Deer", |
|
451
|
|
|
"Dhole", |
|
452
|
|
|
"Dingo", |
|
453
|
|
|
"Discus", |
|
454
|
|
|
"Dodo", |
|
455
|
|
|
"Dog", |
|
456
|
|
|
"Dolphin", |
|
457
|
|
|
"Donkey", |
|
458
|
|
|
"Dormouse", |
|
459
|
|
|
"Dragonfly", |
|
460
|
|
|
"Drever", |
|
461
|
|
|
"Duck", |
|
462
|
|
|
"Dugong", |
|
463
|
|
|
"Dunker", |
|
464
|
|
|
"Eagle", |
|
465
|
|
|
"Earwig", |
|
466
|
|
|
"Echidna", |
|
467
|
|
|
"Elephant", |
|
468
|
|
|
"Emu", |
|
469
|
|
|
"Falcon", |
|
470
|
|
|
"Ferret", |
|
471
|
|
|
"Fish", |
|
472
|
|
|
"Flamingo", |
|
473
|
|
|
"Flounder", |
|
474
|
|
|
"Fly", |
|
475
|
|
|
"Fossa", |
|
476
|
|
|
"Fox", |
|
477
|
|
|
"Frigatebird", |
|
478
|
|
|
"Frog", |
|
479
|
|
|
"Gar", |
|
480
|
|
|
"Gecko", |
|
481
|
|
|
"Gerbil", |
|
482
|
|
|
"Gharial", |
|
483
|
|
|
"Gibbon", |
|
484
|
|
|
"Giraffe", |
|
485
|
|
|
"Goat", |
|
486
|
|
|
"Goose", |
|
487
|
|
|
"Gopher", |
|
488
|
|
|
"Gorilla", |
|
489
|
|
|
"Grasshopper", |
|
490
|
|
|
"Greyhound", |
|
491
|
|
|
"Grouse", |
|
492
|
|
|
"Guppy", |
|
493
|
|
|
"Hamster", |
|
494
|
|
|
"Hare", |
|
495
|
|
|
"Harrier", |
|
496
|
|
|
"Havanese", |
|
497
|
|
|
"Hedgehog", |
|
498
|
|
|
"Heron", |
|
499
|
|
|
"Himalayan", |
|
500
|
|
|
"Hippopotamus", |
|
501
|
|
|
"Horse", |
|
502
|
|
|
"Human", |
|
503
|
|
|
"Hummingbird", |
|
504
|
|
|
"Hyena", |
|
505
|
|
|
"Ibis", |
|
506
|
|
|
"Iguana", |
|
507
|
|
|
"Impala", |
|
508
|
|
|
"Indri", |
|
509
|
|
|
"Insect", |
|
510
|
|
|
"Jackal", |
|
511
|
|
|
"Jaguar", |
|
512
|
|
|
"Javanese", |
|
513
|
|
|
"Jellyfish", |
|
514
|
|
|
"Kakapo", |
|
515
|
|
|
"Kangaroo", |
|
516
|
|
|
"Kingfisher", |
|
517
|
|
|
"Kiwi", |
|
518
|
|
|
"Koala", |
|
519
|
|
|
"Kudu", |
|
520
|
|
|
"Labradoodle", |
|
521
|
|
|
"Ladybird", |
|
522
|
|
|
"Lemming", |
|
523
|
|
|
"Lemur", |
|
524
|
|
|
"Leopard", |
|
525
|
|
|
"Liger", |
|
526
|
|
|
"Lion", |
|
527
|
|
|
"Lionfish", |
|
528
|
|
|
"Lizard", |
|
529
|
|
|
"Llama", |
|
530
|
|
|
"Lobster", |
|
531
|
|
|
"Lynx", |
|
532
|
|
|
"Macaw", |
|
533
|
|
|
"Magpie", |
|
534
|
|
|
"Maltese", |
|
535
|
|
|
"Manatee", |
|
536
|
|
|
"Mandrill", |
|
537
|
|
|
"Markhor", |
|
538
|
|
|
"Mastiff", |
|
539
|
|
|
"Mayfly", |
|
540
|
|
|
"Meerkat", |
|
541
|
|
|
"Millipede", |
|
542
|
|
|
"Mole", |
|
543
|
|
|
"Molly", |
|
544
|
|
|
"Mongoose", |
|
545
|
|
|
"Mongrel", |
|
546
|
|
|
"Monkey", |
|
547
|
|
|
"Moorhen", |
|
548
|
|
|
"Moose", |
|
549
|
|
|
"Moth", |
|
550
|
|
|
"Mouse", |
|
551
|
|
|
"Mule", |
|
552
|
|
|
"Newfoundland", |
|
553
|
|
|
"Newt", |
|
554
|
|
|
"Nightingale", |
|
555
|
|
|
"Numbat", |
|
556
|
|
|
"Ocelot", |
|
557
|
|
|
"Octopus", |
|
558
|
|
|
"Okapi", |
|
559
|
|
|
"Olm", |
|
560
|
|
|
"Opossum", |
|
561
|
|
|
"Orang-utan", |
|
562
|
|
|
"Ostrich", |
|
563
|
|
|
"Otter", |
|
564
|
|
|
"Oyster", |
|
565
|
|
|
"Pademelon", |
|
566
|
|
|
"Panther", |
|
567
|
|
|
"Parrot", |
|
568
|
|
|
"Peacock", |
|
569
|
|
|
"Pekingese", |
|
570
|
|
|
"Pelican", |
|
571
|
|
|
"Penguin", |
|
572
|
|
|
"Persian", |
|
573
|
|
|
"Pheasant", |
|
574
|
|
|
"Pig", |
|
575
|
|
|
"Pika", |
|
576
|
|
|
"Pike", |
|
577
|
|
|
"Piranha", |
|
578
|
|
|
"Platypus", |
|
579
|
|
|
"Pointer", |
|
580
|
|
|
"Poodle", |
|
581
|
|
|
"Porcupine", |
|
582
|
|
|
"Possum", |
|
583
|
|
|
"Prawn", |
|
584
|
|
|
"Puffin", |
|
585
|
|
|
"Pug", |
|
586
|
|
|
"Puma", |
|
587
|
|
|
"Quail", |
|
588
|
|
|
"Quetzal", |
|
589
|
|
|
"Quokka", |
|
590
|
|
|
"Quoll", |
|
591
|
|
|
"Rabbit", |
|
592
|
|
|
"Raccoon", |
|
593
|
|
|
"Ragdoll", |
|
594
|
|
|
"Rat", |
|
595
|
|
|
"Rattlesnake", |
|
596
|
|
|
"Reindeer", |
|
597
|
|
|
"Rhinoceros", |
|
598
|
|
|
"Robin", |
|
599
|
|
|
"Rottweiler", |
|
600
|
|
|
"Salamander", |
|
601
|
|
|
"Saola", |
|
602
|
|
|
"Scorpion", |
|
603
|
|
|
"Seahorse", |
|
604
|
|
|
"Seal", |
|
605
|
|
|
"Serval", |
|
606
|
|
|
"Sheep", |
|
607
|
|
|
"Shrimp", |
|
608
|
|
|
"Siamese", |
|
609
|
|
|
"Siberian", |
|
610
|
|
|
"Skunk", |
|
611
|
|
|
"Sloth", |
|
612
|
|
|
"Snail", |
|
613
|
|
|
"Snake", |
|
614
|
|
|
"Snowshoe", |
|
615
|
|
|
"Somali", |
|
616
|
|
|
"Sparrow", |
|
617
|
|
|
"Sponge", |
|
618
|
|
|
"Squid", |
|
619
|
|
|
"Squirrel", |
|
620
|
|
|
"Starfish", |
|
621
|
|
|
"Stingray", |
|
622
|
|
|
"Stoat", |
|
623
|
|
|
"Swan", |
|
624
|
|
|
"Tang", |
|
625
|
|
|
"Tapir", |
|
626
|
|
|
"Tarsier", |
|
627
|
|
|
"Termite", |
|
628
|
|
|
"Tetra", |
|
629
|
|
|
"Tiffany", |
|
630
|
|
|
"Tiger", |
|
631
|
|
|
"Tortoise", |
|
632
|
|
|
"Toucan", |
|
633
|
|
|
"Tropicbird", |
|
634
|
|
|
"Tuatara", |
|
635
|
|
|
"Turkey", |
|
636
|
|
|
"Uakari", |
|
637
|
|
|
"Uguisu", |
|
638
|
|
|
"Umbrellabird", |
|
639
|
|
|
"Vulture", |
|
640
|
|
|
"Wallaby", |
|
641
|
|
|
"Walrus", |
|
642
|
|
|
"Warthog", |
|
643
|
|
|
"Wasp", |
|
644
|
|
|
"Weasel", |
|
645
|
|
|
"Whippet", |
|
646
|
|
|
"Wildebeest", |
|
647
|
|
|
"Wolf", |
|
648
|
|
|
"Wolverine", |
|
649
|
|
|
"Wombat", |
|
650
|
|
|
"Woodlouse", |
|
651
|
|
|
"Woodpecker", |
|
652
|
|
|
"Wrasse", |
|
653
|
|
|
"Yak", |
|
654
|
|
|
"Zebra", |
|
655
|
|
|
"Zebu", |
|
656
|
|
|
"Zonkey", |
|
657
|
|
|
"Zorse", |
|
658
|
|
|
] |
|
659
|
|
|
radio_alphabet = [ |
|
660
|
|
|
"Alpha", |
|
661
|
|
|
"Bravo", |
|
662
|
|
|
"Charlie", |
|
663
|
|
|
"Delta", |
|
664
|
|
|
"Echo", |
|
665
|
|
|
"Foxtrot", |
|
666
|
|
|
"Golf", |
|
667
|
|
|
"Hotel", |
|
668
|
|
|
"India", |
|
669
|
|
|
"Juliet", |
|
670
|
|
|
"Kilo", |
|
671
|
|
|
"Lima", |
|
672
|
|
|
"Mike", |
|
673
|
|
|
"November", |
|
674
|
|
|
"Oscar", |
|
675
|
|
|
"Papa", |
|
676
|
|
|
"Quebec", |
|
677
|
|
|
"Romeo", |
|
678
|
|
|
"Sierra", |
|
679
|
|
|
"Tango", |
|
680
|
|
|
"Uniform", |
|
681
|
|
|
"Victor", |
|
682
|
|
|
"Whiskey", |
|
683
|
|
|
"X-ray", |
|
684
|
|
|
"Yankee", |
|
685
|
|
|
"Zulu", |
|
686
|
|
|
] |
|
687
|
|
|
places = [ |
|
688
|
|
|
"airport", |
|
689
|
|
|
"aquarium", |
|
690
|
|
|
"bakery", |
|
691
|
|
|
"bar", |
|
692
|
|
|
"bridge", |
|
693
|
|
|
"building", |
|
694
|
|
|
"bus-stop", |
|
695
|
|
|
"cafe", |
|
696
|
|
|
"campground", |
|
697
|
|
|
"church", |
|
698
|
|
|
"city", |
|
699
|
|
|
"embassy", |
|
700
|
|
|
"florist", |
|
701
|
|
|
"gym", |
|
702
|
|
|
"harbour", |
|
703
|
|
|
"hospital", |
|
704
|
|
|
"hotel", |
|
705
|
|
|
"house", |
|
706
|
|
|
"island", |
|
707
|
|
|
"laundry", |
|
708
|
|
|
"library", |
|
709
|
|
|
"monument", |
|
710
|
|
|
"mosque", |
|
711
|
|
|
"museum", |
|
712
|
|
|
"office", |
|
713
|
|
|
"park", |
|
714
|
|
|
"pharmacy", |
|
715
|
|
|
"plaza", |
|
716
|
|
|
"restaurant", |
|
717
|
|
|
"road", |
|
718
|
|
|
"school", |
|
719
|
|
|
"spa", |
|
720
|
|
|
"stable", |
|
721
|
|
|
"stadium", |
|
722
|
|
|
"store", |
|
723
|
|
|
"street", |
|
724
|
|
|
"theater", |
|
725
|
|
|
"tower", |
|
726
|
|
|
"town", |
|
727
|
|
|
"train-station", |
|
728
|
|
|
"university", |
|
729
|
|
|
"village", |
|
730
|
|
|
"wall", |
|
731
|
|
|
"zoo", |
|
732
|
|
|
] |
|
733
|
|
|
attributes = [ |
|
734
|
|
|
"Chaos", |
|
735
|
|
|
"Hate", |
|
736
|
|
|
"Adventure", |
|
737
|
|
|
"Anger", |
|
738
|
|
|
"Anxiety", |
|
739
|
|
|
"Beauty", |
|
740
|
|
|
"Beauty", |
|
741
|
|
|
"Being", |
|
742
|
|
|
"Beliefs", |
|
743
|
|
|
"Birthday", |
|
744
|
|
|
"Brilliance", |
|
745
|
|
|
"Career", |
|
746
|
|
|
"Charity", |
|
747
|
|
|
"Childhood", |
|
748
|
|
|
"Comfort", |
|
749
|
|
|
"Communication", |
|
750
|
|
|
"Confusion", |
|
751
|
|
|
"Courage", |
|
752
|
|
|
"Culture", |
|
753
|
|
|
"Curiosity", |
|
754
|
|
|
"Death", |
|
755
|
|
|
"Deceit", |
|
756
|
|
|
"Dedication", |
|
757
|
|
|
"Democracy", |
|
758
|
|
|
"Despair", |
|
759
|
|
|
"Determination", |
|
760
|
|
|
"Energy", |
|
761
|
|
|
"Failure", |
|
762
|
|
|
"Faith", |
|
763
|
|
|
"Fear", |
|
764
|
|
|
"Freedom", |
|
765
|
|
|
"Friendship", |
|
766
|
|
|
"Future", |
|
767
|
|
|
"Generosity", |
|
768
|
|
|
"Grief", |
|
769
|
|
|
"Happiness", |
|
770
|
|
|
"Holiday", |
|
771
|
|
|
"Honesty", |
|
772
|
|
|
"Indifference", |
|
773
|
|
|
"Interest", |
|
774
|
|
|
"Joy", |
|
775
|
|
|
"Knowledge", |
|
776
|
|
|
"Liberty", |
|
777
|
|
|
"Life", |
|
778
|
|
|
"Love", |
|
779
|
|
|
"Luxury", |
|
780
|
|
|
"Marriage", |
|
781
|
|
|
"Misery", |
|
782
|
|
|
"Motivation", |
|
783
|
|
|
"Nervousness", |
|
784
|
|
|
"Openness", |
|
785
|
|
|
"Opportunity", |
|
786
|
|
|
"Pain", |
|
787
|
|
|
"Past", |
|
788
|
|
|
"Patience", |
|
789
|
|
|
"Peace", |
|
790
|
|
|
"Perseverance", |
|
791
|
|
|
"Pessimism", |
|
792
|
|
|
"Pleasure", |
|
793
|
|
|
"Sacrifice", |
|
794
|
|
|
"Sadness", |
|
795
|
|
|
"Satisfaction", |
|
796
|
|
|
"Sensitivity", |
|
797
|
|
|
"Sorrow", |
|
798
|
|
|
"Stress", |
|
799
|
|
|
"Sympathy", |
|
800
|
|
|
"Thought", |
|
801
|
|
|
"Trust", |
|
802
|
|
|
"Warmth", |
|
803
|
|
|
"Wisdom", |
|
804
|
|
|
] |
|
805
|
|
|
|
isomeric /
isomer
