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

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/hovatrace.py

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jeweg/hovatrace

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2023-01-19T19:38:16.586911

2020-12-03T14:30:52

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#!/usr/bin/env python3 # MIT License # Copyright (c) 2020 Jens Weggemann # # 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. from collections import namedtuple import re from enum import Enum, auto REGISTERS = ['ALU', 'A', 'B', 'C', 'D', 'F', 'W', 'I1', 'I2', 'O1', 'O1e', 'O2', 'O2e', 'PC'] TraceLine = namedtuple('TraceLine', REGISTERS, defaults=[0]*len(REGISTERS)) ChangedRegisters = namedtuple('ChangedRegisters', REGISTERS, defaults=[False]*len(REGISTERS)) #==================================================================== # Helpers def dec_to_2scompl(num, num_bits): n = min(int(num), (1 << (num_bits - 1)) - 1) if n < 0: n = (1 << num_bits) + n return n def dec_from_2scompl(num, num_bits): n = int(num) & ((1 << num_bits) - 1) ceiling = (1 << num_bits) if n >= (1 << (num_bits - 1)): n -= (1 << num_bits) return n #==================================================================== # Trace log parsing def parse_trace_file(file_name): def parse_trace_number(n, R): # Parses a number constant from the trace. Interpretation depends on the specific register. if n is None: return None n = int(n, 16) # Parse hex if R == 'PC': # PC is unsigned pass elif R == 'ALU': # ALU is 16-bit 2s-complement signed n = dec_from_2scompl(n, 16) else: # Everything else is 12-bit 2s-complement signed # The hovalaag trace shows W as if it was a 64-bit value when it has a negative value. # This is contrary to the documentation. Copying to OUT1 drops the upper bits again. # Is this a bug? Anyway, the helper function will mask out all but the lower 12 bits which # fixed this. n = dec_from_2scompl(n, 12) return n re_log_line = re.compile(r'<tr.*?</tr>') re_log_line_entry = re.compile(r'(ALU|I1|I2|O1|O2|PC|[ABCDFW])[=:]([0-9a-fA-F]+)(?:$([0-9a-fA-F]+)$)?') trace_lines = [] changed_registers = [] prev_trace_line = TraceLine() with open(file_name) as f: counter = -1 for line in f.readlines(): counter += 1 match = re.match(re_log_line, line) # Collect in dict first b/c the TraceLine namedtuple is immutable. Not terribly elegant code. values = {k:None for k in REGISTERS} if match: line = match.group(0) for match in re.finditer(re_log_line_entry, line): R, reg_value, expected = match.groups()[:3] values[R] = parse_trace_number(reg_value, R) if R == 'O1': values['O1e'] = parse_trace_number(expected, R) elif R == 'O2': values['O2e'] = parse_trace_number(expected, R) elif R == 'PC': break # terminate before the instruction parts. trace_line = TraceLine(*[values[R] for R in REGISTERS]) trace_lines.append(trace_line) changed_registers.append(ChangedRegisters(*[values[R] != getattr(prev_trace_line, R) for R in REGISTERS])) prev_trace_line = trace_line return (trace_lines, changed_registers) #==================================================================== # Code parsing CodeLine = namedtuple('CodeLine', ['line_num', 'text']) # line: CodeLine, comments: CodeLine list, label: CodeLine Statement = namedtuple('Statement', ['pc_line_num', 'line', 'comments', 'labels']) def parse_code_file(file_name): re_line_remove_trailing_ws = re.compile(r'^(.*?)[\s\t\n\r]*$') re_line_strip_comments = re.compile(r'^(.*?);.*$') re_line_empty = re.compile(r'^\s*$') re_code_comment_line = re.compile(r'^\s*;.*$') re_code_label = re.compile(r'^\s*([^\s]+):.*$') statements = [] curr_comments = [] curr_labels = [] file_line_num = 0 with open(file_name) as f: for line in f.readlines(): file_line_num += 1 # Optionally strip any comments. Line may become empty. if args.strip_comments: match = re_line_strip_comments.match(line) if match: line = match.group(1) # Remove any trailing WS match = re_line_remove_trailing_ws.match(line) line = match.group(1) # Handle empty line match = re_line_empty.match(line) if match: if not args.comments_across_empty_lines: # Forget comments but keep a label curr_comments = [] continue code_line = CodeLine(file_line_num, line) match = re_code_comment_line.match(line) if match: curr_comments.append(code_line) continue match = re_code_label.match(line) if match: curr_labels.append(code_line) continue # Everything else must be a statement. # We commit it to the result and reset relevant parsing state. statements.append(Statement(len(statements), code_line, curr_comments, curr_labels)) curr_labels = [] curr_comments = [] return statements #==================================================================== # Syntax highlighting machinery class TokenTag(Enum): COMMENT = auto() LABEL = auto() CONSTANT = auto() JUMP = auto() OPERATOR = auto() FUNCTION = auto() DSTREGISTER = auto() SRCREGISTER = auto() WHITESPACE = auto() UNKNOWN = auto() class Tokenizer(object): def __init__(self): self.rules = [ (TokenTag.COMMENT, re.compile(r';.*$')), (TokenTag.LABEL, re.compile(r'[^\s]+:')), (TokenTag.DSTREGISTER, re.compile(r'([ABCDFW]|IN[12]|OUT[12])(?==)')), (TokenTag.JUMP, re.compile(r'(JMP[TF]?|DECNZ)\s+([^\s,]+)')), (TokenTag.FUNCTION, re.compile(r'(ZERO|NEG|POS|DEC)|[()]')), (TokenTag.SRCREGISTER, re.compile(r'([ABCDFW]|IN[12]|OUT[12])')), (TokenTag.CONSTANT, re.compile(r'-?(([0-9]+)|(\$[0-9A-F]+))')), (TokenTag.OPERATOR, re.compile(r'[+->|&^~]')), (TokenTag.WHITESPACE, re.compile(r'\s+')), (TokenTag.UNKNOWN, re.compile(r'.')), ] def tokenize_line(self, text): tokens = [] last_token = None pos = 0 while pos < len(text): for tag, regexp in self.rules: match = regexp.match(text, pos=pos) if match: # Some token types are collapsed right away. if last_token and last_token[0] == tag and tag in [TokenTag.WHITESPACE, TokenTag.UNKNOWN]: last_token[1] += match.group(0) else: token = [tag, match.group(0)] tokens.append(token) last_token = token pos = match.end(0) break return tokens #==================================================================== if __name__ == '__main__': import sys import argparse import math from pathlib import Path parser = argparse.ArgumentParser(description='generates annotated HOVALAAG traces.') parser.add_argument('-c', '--code', metavar='FILE', required=True, help='path to the code input file, required') parser.add_argument('-l', '--log', metavar='FILE', default='log.html', help='path to the trace input file, defaults to "log.html"') parser.add_argument('-o', '--output', metavar='FILE', help='path to the HTML output file, stdout is used if omitted') parser.add_argument('-f', '--force', action='store_true', help='overwrite the output file if it exists') parser.add_argument('-n', '--numbers', choices=['s', 'u', 'h', 'b'], default='s', help='display type for numbers: [s]igned decimal, [u]nsigned decimal, [h]exadecimal, or [b]inary, defaults to s') parser.add_argument('--strip-comments', action='store_true', help='strip all code comments') parser.add_argument('--comments-across-empty-lines', action='store_true', help='if specified, empty lines will not disassociate comment lines with the statement succeeding them') parser.add_argument('--always-print-comment-lines', action='store_true', help='if specified, comment lines will be printed for a statement every time, by default they are only printed the first time') parser.add_argument('--theme', choices=['dark', 'light'], help='the color theme, defaults to dark') args = parser.parse_args() def err(*argv): print(*argv, file=sys.stderr) sys.exit(-1) if not args.code: err("Must specify a code file!") #==================================================================== # Output helpers def as_hex(n, num_bits): s = '{:X}'.format(n) return '$' + '0' * max(0, num_bits // 4 - len(s)) + s def as_binary(n, num_bits): s = '{:b}'.format(n) return 'b' + '0' * max(0, num_bits - len(s)) + s def make_number_text(n, num_bits): if args.numbers == 's': return n n_2sc = dec_to_2scompl(n, num_bits) if args.numbers == 'u': return n_2sc + 'u' elif args.numbers == 'h': return as_hex(n_2sc, num_bits) elif args.numbers == 'b': return as_binary(n_2sc, num_bits) def make_number_tooltip(n, num_bits): n_2sc = dec_to_2scompl(n, num_bits) return "{} {}u {} {}".format(n, n_2sc, as_hex(n_2sc, num_bits).upper(), as_binary(n_2sc, num_bits)) #==================================================================== # Output HTML ColorTheme = namedtuple("ColorTheme", [ 'bg', 'bg_regstate', 'bg_regstate_handle', 'bg_changedreg', 'jump_separator', 'wrong_output_border', 'correct_output_border', 'syn_dstregister', 'syn_srcregister', 'syn_operator', 'syn_outputline', 'syn_linenumber', 'syn_comment', 'syn_label', 'syn_jump', 'syn_function', 'syn_constant', 'line_marker1', 'line_marker2', 'line_marker3', 'bg_tooltip', 'fg_tooltip', 'tooltip_elem_bg' ]) # Based on light style from https://github.com/rakr/vim-two-firewatch LightTheme = ColorTheme( bg='#FAF8F5', bg_regstate='#eAe8e5', bg_regstate_handle='#0003', bg_changedreg='#ffffff', jump_separator='#2D2107', wrong_output_border='#ff9000', correct_output_border='#20f030', syn_dstregister='#718ECD', syn_srcregister='#718ECD', syn_operator='#896724', syn_outputline='#E4DBD7', syn_linenumber='#c2aEa7', syn_comment='#B6AD9A', syn_label='#2D2107', syn_jump='#0A5289', syn_function='#896724', syn_constant='#0A5289', line_marker1='#FDF962', line_marker2='#B6FB8B', line_marker3='#FCC8B8', bg_tooltip='#0A5289d0', fg_tooltip='#FAF8F5', tooltip_elem_bg='#ffe04850') # Based on dark style from https://github.com/rakr/vim-two-firewatch DarkTheme = ColorTheme( bg='#282c34', bg_regstate='#11151D', bg_regstate_handle='#000000', bg_changedreg='#32363E', jump_separator='#8E9DAE', wrong_output_border='#e02000', correct_output_border='#20d010', syn_dstregister='#D6E9FF', syn_srcregister='#D6E9FF', syn_operator='#8EBCF2', syn_outputline='#3D4854', syn_linenumber='#616C78', syn_comment='#55606C', syn_label='#D5E8FD', syn_jump='#DE6A6F', syn_function='#C4AB9A', syn_constant='#eaAE9D', line_marker1='#181C24', line_marker2='#0F4909', line_marker3='#702714', bg_tooltip='#0A5289ff', fg_tooltip='#FAF8F5', tooltip_elem_bg='#ff803050') if args.theme == 'light': color_theme = LightTheme else: color_theme = DarkTheme if args.output and Path(args.output).is_file() and not args.force: err("Output file exists, use --force to overwrite!") output_file = open(args.output, "w") if args.output else sys.stdout def pr(*argv, **kwargv): print(*argv, **kwargv, file=output_file) pr('''\ <html> <head> <style> body {{ font-family: monospace; background-color: {bg}; position: relative; left: 0; top: 0; padding-top: 2ch; }} #code {{ white-space: pre; }} #regstate {{ white-space: pre; background-color: {bg_regstate}; opacity: .9; position: absolute; left: 50ch; top: 2ch; padding-left: 3px; }} #regstate_handle {{ width: 1ch; height: 100%; text-align: center; left: 0; top: 0; cursor: col-resize; background: {bg_regstate_handle}; position: absolute; }} .reg_unchanged {{ opacity: 0.7; }} .reg_changed {{ background-color: {bg_changedreg}; }} .reg_value_changed {{ }} .reg_value_unchanged {{ }} .wrong_output_value {{ box-shadow: 0px 0px 0px 2px {wrong_output_border}; display: inline-block; z-index: 100; }} .correct_output_value {{ box-shadow: 0px 0px 0px 2px {correct_output_border}; display: inline-block; z-index: 100; }} .code_line {{ }} .linebg0 {{ }} .linebg1 {{ background-color: {line_marker1}; }} .linebg2 {{ background-color: {line_marker2}; }} .linebg3 {{ background-color: {line_marker3}; }} .syn_outputline {{ color: {syn_outputline}; cursor: hand; }} .syn_linenumber {{ color: {syn_linenumber}; cursor: hand; }} .syn_comment {{ color: {syn_comment}; font-style: italic; }} .syn_label {{ color: {syn_label}; font-weight: bold; }} .syn_dstregister {{ color: {syn_dstregister}; }} .syn_srcregister {{ color: {syn_srcregister}; }} .syn_jump {{ color: {syn_jump}; }} .syn_function {{ color: {syn_function}; }} .syn_constant {{ color: {syn_constant}; }} .syn_operator {{ color: {syn_operator}; }} .syn_jump_not_taken {{ text-decoration: line-through; }} .jump_separator {{ border-top: 1px solid; border-color: {jump_separator}; background-color: transparent; opacity: 0.5; width: 100%; position: absolute; z-index: 5; }} /* Tooltip CSS from https://www.w3schools.com/css/css_tooltip.asp */ .tooltip {{ position: relative; display: inline-block; z-index: 100; }} .tooltip:hover {{ background-color: {tooltip_elem_bg}; }} .tooltip .tooltiptext {{ visibility: hidden; pointer-events: none; /* invisible to hover */ background-color: {bg_tooltip}; color: {fg_tooltip}; text-align: center; border-radius: 3px; padding: 5px 5px; bottom: 110%; left: -100%; position: absolute; z-index: 100; filter: drop-shadow(4px 3px 2px #00000080); }} .tooltip:hover .tooltiptext {{ visibility: visible; }} </style> <script> function line_click(the_id) {{ let elem = document.getElementById(the_id); let cl = elem.classList; const CYCLE = ["linebg0", "linebg1", "linebg2", "linebg3"]; for (let i = 0; i < CYCLE.length; ++i) {{ const next_i = (i + 1) % CYCLE.length; if (cl.contains(CYCLE[i])) {{ cl.remove(CYCLE[i]); cl.add(CYCLE[next_i]); return; }} }} cl.add(CYCLE[1]); }} </script> </head> <body><div id="code">\ '''.format(**color_theme._asdict()), end='') #==================================================================== # Output code def css_for_tag(tag): return tag.name.lower() def padded_line_num(num, digits): s = str(num) return (' ' * max(0, digits - len(s))) + s trace_lines, changed_registers = parse_trace_file(args.log) statements = parse_code_file(args.code) tokenizer = Tokenizer() output_line_digits = 4 # Currently a guess.. we'd have to collect output lines beforehand and prepend afterwards. output_line_counter = 0 file_line_num_digits = math.ceil(math.log(len(statements), 10)) def is_jump_taken(token, trace_line): if re.match(r'^JMPT\s+.*', token): return trace_line.F != 0 elif re.match(r'^JMPF\s+.*', token): return trace_line.F == 0 elif re.match(r'^DECNZ\s+.*', token): return trace_line.C != 0 return True def output_line(line, trace_line=None, previous_trace_line=None): global output_line_counter output_line_counter += 1 pr('<span class="code_line" id="line{}" onclick="line_click(id)">'.format(output_line_counter), end='') pr('<span class="syn_outputline">{}</span> '.format(padded_line_num(output_line_counter, output_line_digits)), end='') pr('<span class="syn_linenumber">{}</span> '.format(padded_line_num(line.line_num, file_line_num_digits)), end='') tokens = tokenizer.tokenize_line(line.text) for tok_tag, tok_value in tokens: if tok_tag is TokenTag.CONSTANT: # Convert constant text and add tooltip if tok_value.startswith('$'): num = int(tok_value[1:], 16) elif tok_value.startswith('-$'): num = int(tok_value[2:], 16) else: num = int(tok_value) num_2sc = dec_to_2scompl(num, 12) pr('<div class="tooltip syn_{}">{}<span class="tooltiptext">{}</span></div>'.format( css_for_tag(tok_tag), make_number_text(num, 12), make_number_tooltip(num, 12)), end='') else: extra_class = '' if tok_tag is TokenTag.JUMP and previous_trace_line: # We can be extra smart about this! if not is_jump_taken(tok_value, previous_trace_line): extra_class = " syn_jump_not_taken" pr('<span class="syn_{}{}">{}</span>'.format(css_for_tag(tok_tag), extra_class, tok_value), end='') pr('</span>') PRINT_COMMENT_BLOCKS_ONLY_ONCE = True comment_blocks_already_printed_for_pc = set() displayed_trace_info = [] previous_pc = None previous_trace_line = None for trace_line, changed_regs in zip(trace_lines, changed_registers): pc = trace_line.PC statement = statements[pc] if previous_pc and pc != previous_pc + 1: # Deviating program counter -> some jump occured. pr('<div class="jump_separator"></div>', end='') if not args.always_print_comment_lines and pc in comment_blocks_already_printed_for_pc: # Don't show comment again, but do show associated labels for label in statement.labels: output_line(label) displayed_trace_info.append(None) else: comment_blocks_already_printed_for_pc.add(pc) if not statement.comments: for label in statement.labels: output_line(label) displayed_trace_info.append(None) else: # Display associated comments with label mixed in for line in sorted(statement.labels + statement.comments, key=lambda elem: elem.line_num): output_line(line) displayed_trace_info.append(None) output_line(statement.line, trace_line, previous_trace_line) displayed_trace_info.append((trace_line, changed_regs)) previous_pc = pc previous_trace_line = trace_line #==================================================================== # Output register state pr('\n\n<div id="regstate"><div id="regstate_handle"></div>', end='') def properly_padded(n, R): max_chars = 6 if args.numbers == 's': max_chars = 6 if R == 'ALU' else 1 if R == 'F' else 5 elif args.numbers == 'u': max_chars = 7 if R == 'ALU' else 2 if R == 'F' else 6 elif args.numbers == 'h': max_chars = 4 if R == 'ALU' else 1 if R == 'F' else 3 elif args.numbers == 'b': max_chars = 16 if R == 'ALU' else 1 if R == 'F' else 12 s = str(n) # Roughly center the value.. I liked that look the most. padding = max_chars - len(s) half_padding = padding // 2 return ' ' * half_padding + s + ' ' * (padding - half_padding) for thing in displayed_trace_info: if not thing: pr() continue trace_line, changed_regs = thing printed_line = ' ' for R in ['A', 'B', 'C', 'D', 'F', 'W', 'ALU', 'I1', 'I2', 'O1', 'O2']: reg_value = getattr(trace_line, R) reg_changed = getattr(changed_regs, R) if reg_value is None: continue overall_css_class = 'reg_{}changed'.format('un' if not reg_changed else '') value_css_class = 'reg_value_{}changed'.format('un' if not reg_changed else '') reg_bits = 16 if R == 'ALU' else 1 if R == 'F' else 12 exp_value = None if R in ['O1', 'O2']: exp_value = getattr(trace_line, 'O1e' if R == 'O1' else 'O2e') if exp_value is None: printed_line += '''\ <div class="tooltip {occ}">\ <span class="syn_dstregister ">{R}</span>\ <span class="syn_operator ">=</span>\ <span class="syn_constant {vcc}">{rv}</span><span class="tooltiptext">{tt}</span></div> '''.format( occ=overall_css_class, vcc=value_css_class, R=R, rv=properly_padded(make_number_text(reg_value, reg_bits), R), tt=make_number_tooltip(reg_value, reg_bits)) else: printed_line += '''\ <div class="{wrong_or_correct}">\ <div class="tooltip {occ}">\ <span class="syn_dstregister ">{R}</span>\ <span class="syn_operator ">=</span>\ <span class="syn_constant {vcc}">{rv1}</span><span class="tooltiptext">{tt1}</span>\ </div>\ <div class="tooltip {occ}">\ <span class="syn_constant {vcc}">({rv2})</span><span class="tooltiptext">{tt2}</span>\ </div>\ </div> '''.format( wrong_or_correct='wrong_output_value' if exp_value != reg_value else 'correct_output_value', occ=overall_css_class, vcc=value_css_class, R=R, rv1=properly_padded(make_number_text(reg_value, reg_bits), R), tt1=make_number_tooltip(reg_value, reg_bits), rv2=make_number_text(exp_value, reg_bits), tt2=make_number_tooltip(exp_value, reg_bits)) pr(printed_line) pr('''\ </div> </div> <script> // From https://www.w3schools.com/howto/howto_js_draggable.asp dragElement(document.getElementById("regstate")); function dragElement(elmnt) { var pos1 = 0, pos2 = 0, pos3 = 0, pos4 = 0; if (document.getElementById(elmnt.id + "_handle")) { /* if present, the header is where you move the DIV from:*/ document.getElementById(elmnt.id + "_handle").onmousedown = dragMouseDown; } else { /* otherwise, move the DIV from anywhere inside the DIV:*/ elmnt.onmousedown = dragMouseDown; } function dragMouseDown(e) { e = e || window.event; e.preventDefault(); // get the mouse cursor position at startup: pos3 = e.clientX; pos4 = e.clientY; document.onmouseup = closeDragElement; // call a function whenever the cursor moves: document.onmousemove = elementDrag; } function elementDrag(e) { e = e || window.event; e.preventDefault(); // calculate the new cursor position: pos1 = pos3 - e.clientX; pos2 = pos4 - e.clientY; pos3 = e.clientX; pos4 = e.clientY; // set the element's new position: //elmnt.style.top = (elmnt.offsetTop - pos2) + "px"; elmnt.style.left = (elmnt.offsetLeft - pos1) + "px"; } function closeDragElement() { /* stop moving when mouse button is released:*/ document.onmouseup = null; document.onmousemove = null; } } </script> </body> </html>''')

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fileName = input("Filepath: ") with open(fileName, "r") as f: tmp = f.readlines() with open("out/binaryOutput.txt","w") as f: for line in tmp: f.write("{}\n".format(str(bin(int(line.strip())))))

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from abc import abstractmethod from typing import Generic, Iterator, Iterable, TypeVar InputType = TypeVar("InputType") OutputType = TypeVar("OutputType") class Extractor(Generic[InputType, OutputType]): """ Interface for classes which extract data of one type from data of another type. """ @abstractmethod def extract(self, item: InputType) -> OutputType: """ Extracts data from a given object. :param item: The object to extract from. :return: The extracted data. """ pass def extract_all(self, items: Iterable[InputType]) -> Iterator[OutputType]: """ Extracts data from all the given items. :param items: The items to extract from. :return: An iterator of extracted data. """ return map(self.extract, items)

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import base64 import sys import requests as r from avatar_generator import Avatar from faker import Faker from requests.auth import HTTPBasicAuth url_01 = "http://127.0.0.1:5000/res" url_02 = "https://weapi.monius.top/res" url_03 = "https://xideas.herokuapp.com/res" urls = [url_01, url_02, url_03] def get_test(res): q=r.get(res) print(q.json()) def post_test(res): q = r.post(res,json={"id":"233"}) print(q.json()) def put_test(res): q = r.put(res) print(q.json()) def delete_test(res): q = r.delete(res) print(q.json()) if __name__ == '__main__': n = input("Input number for url : ") url = urls[int(n)] print(url) fucs = [get_test, post_test, put_test, delete_test] xxx = [1, 1, 2, 3] for f in fucs: f(url)

[ "m1105930979@gmail.com" ]

m1105930979@gmail.com

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/AtCoder/ABC/170's/171/171B.py

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sAto-3/AtCoder

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2023-08-19T17:05:24.759779

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# B n, k = map(int, input().split()) p = list(map(int, input().split())) p.sort() print(p) print(sum(p[:k]))

[ "17214@fukushima.kosen-ac.jp" ]

17214@fukushima.kosen-ac.jp

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/chapter_10/greet_user.py

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scott-gordon72/python_crash_course

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2022-06-04T19:29:40.142291

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import json filename = 'username.json' with open(filename) as f: username = json.load(f) print(f"Welcome back, {username}")

[ "scott.gordon72@outlook.com" ]

scott.gordon72@outlook.com

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2021-01-15T18:36:09.522992

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# [h] nudge selected points '''Nudge selected points by a given amount of units, with differents modes possible.''' # debug import hTools2 reload(hTools2) if hTools2.DEBUG: import hTools2.dialogs.glyph reload(hTools2.dialogs.glyph) # import from hTools2.dialogs.glyph import nudgePointsDialog # run nudgePointsDialog()

[ "gustavo@hipertipo.com" ]

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b-ggs/Twitch-Chat-Downloader

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2021-11-23T04:00:44.567651

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#!/usr/bin/env python import os from setuptools import setup, find_packages this_directory = os.path.abspath(os.path.dirname(__file__)) with open(os.path.join(this_directory, 'readme.md'), encoding='utf-8') as f: readme = f.read() requirements = ['requests>=2.23.0', 'twitch-python>=0.0.18', 'pytz>=2020.1', 'python-dateutil>=2.8.1'] test_requirements = ['twine>=3.1.1', 'wheel>=0.34.2'] setup_requirements = ['pipenv>=2020.5.28', 'setuptools>=47.1.1'] setup( author='Petter Kraabøl', author_email='petter.zarlach@gmail.com', classifiers=[ 'Development Status :: 4 - Beta', 'Intended Audience :: End Users/Desktop', 'License :: OSI Approved :: MIT License', 'Natural Language :: English', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', ], entry_points= ''' [console_scripts] tcd=tcd:main ''', description='Twitch Chat Downloader', install_requires=requirements, license='MIT', long_description=readme, long_description_content_type='text/markdown', include_package_data=True, keywords='Twitch', name='tcd', packages=find_packages(), python_requires=">=3.8", setup_requires=setup_requirements, test_suite='tests', tests_require=test_requirements, url='https://github.com/PetterKraabol/Twitch-Chat-Downloader', version='3.2.1', zip_safe=True, )

[ "petter.zarlach@gmail.com" ]

petter.zarlach@gmail.com

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/my_django_project/my_django_project/settings.py

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karan-coder/my-first-blog

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2020-07-19T19:43:17.829360

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""" Django settings for my_django_project project. Generated by 'django-admin startproject' using Django 2.2.5. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'bqsd++bwo-7(alc2@$y020w=o6k(@cy49m84^mz@(1f#k(g_g8' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'my_django_project.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'my_django_project.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.mysql', 'NAME': 'Homestead', 'USER': 'homestead', 'PASSWORD': 'secret', } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/'

[ "karan.artomate@studio" ]

karan.artomate@studio

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ee021f7f3f4986d3d16e8313124537462bea1a37

/app/views.py

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pyprogs/analog

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refs/heads/master

2020-07-27T02:04:47.369662

2019-09-13T00:44:00

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from django.shortcuts import render, redirect, get_object_or_404 from django.contrib.auth import authenticate, login, logout, models, forms from django.contrib.auth.decorators import login_required from django.http import HttpResponse from django.core.mail import get_connection, send_mail from django.conf import settings from catalog.models import DataFile, Manufacturer from catalog import choices from catalog.handlers import ProcessingSearchFile from app.forms import MyAuthenticationForm, MyRegistrationForm, AppSearchForm, SearchFromFile, EmailConfirmationForm from app.decorators import a_decorator_passing_logs from app.models import MainLog import hashlib @a_decorator_passing_logs def login_view(request): auth_form = MyAuthenticationForm(request) if request.method == 'POST': username = request.POST['username'] password = request.POST['password'] user = authenticate(username=username, password=password) print(user) if user is not None: if user.is_active: login(request, user) return redirect('app:home') return render(request, 'login.html', {'auth_form': auth_form, 'error': 'Неверно введён логин или пароль'}) return render(request, 'login.html', {'auth_form': auth_form}) @a_decorator_passing_logs @login_required(login_url='login/') def search(request): form = AppSearchForm() if request.method == 'POST': form = AppSearchForm(request.POST) return render(request, 'search.html', {'user': request.user, 'form': form}) @a_decorator_passing_logs @login_required(login_url='login/') def search_from_file_view(request): if request.method == 'POST': form = SearchFromFile(request.POST, request.FILES) if form.is_valid(): instance = DataFile(file=request.FILES['file'], type=choices.TYPES_FILE[1][0], created_by=request.user, updated_by=request.user) instance.save() file_response = ProcessingSearchFile(request.FILES['file'], instance.file, form, request).csv_processing() response = HttpResponse(file_response, content_type='text/plain') response['Content-Disposition'] = 'attachment; filename=' + file_response.name return response else: form = SearchFromFile() return render(request, 'search_from_file.html', {'form': form}) @a_decorator_passing_logs @login_required(login_url='login/') def advanced_search(request): return redirect('catalog:search') @a_decorator_passing_logs def check_in_view(request): reg_form = MyRegistrationForm() # reg_form = forms.UserCreationForm() if request.method == 'POST': if request.POST['password'] != request.POST['double_password']: return render(request, 'check_in.html', {'reg_form': reg_form, 'error': "Введённые пароли не совпадают"}) if len(request.POST['password']) < 8: return render(request, 'check_in.html', {'reg_form': reg_form, 'error': "Введённый пароль слишком короткий. Он должен содержать как минимум 8 символов. "}) user, created = models.User.objects.get_or_create(username=request.POST['username'], defaults={ # 'password': request.POST['password'], 'email': request.POST['email'], 'is_active': False }) if not created: return render(request, 'check_in.html', {'reg_form': reg_form, 'error': 'пользователь уже существует'}) else: if not user.check_password(request.POST['password']): user.delete() return render(request, 'check_in.html', {'reg_form': reg_form, 'error': 'Введённый пароль состоит только из цифр, некорректен.'}) user.set_password(request.POST['password']) user.save() try: connection = get_connection(host=settings.EMAIL_HOST, port=settings.EMAIL_PORT, username=settings.EMAIL_HOST_USER, password=settings.EMAIL_HOST_PASSWORD, use_tls=settings.EMAIL_USE_TLS) verif_code = hashlib.md5('{}'.format(user.pk).encode()).hexdigest() href = 'http://analogpro.ru/email_confirmation/{}-{}/'.format(verif_code, user.pk) send_mail('Подтверждение почты', 'Ваш верификационный код - {}, введите его или перейдите по ссылке: {}\n'.format(verif_code, href), 'info@analogpro.ru', [request.POST['email']], connection=connection, fail_silently=False) # print(response_email, [request.POST['email']]) except: return render(request, 'check_in.html', {'reg_form': reg_form, 'error': 'Произошла проблема при отправке email'}) # return render(request, 'check_in.html', {'reg_form': reg_form, 'error': 'пользователь успешно создан'}) return redirect('app:email_confirmation', user.pk, user.pk) return render(request, 'check_in.html', {'reg_form': reg_form}) # @login_required(redirect_field_name='app:login') @login_required(login_url='login/') @a_decorator_passing_logs def home_view(request): return render(request, 'home.html') @login_required(login_url='login/') @a_decorator_passing_logs def profile_view(request): return render(request, 'profile.html', { 'actions_count': MainLog.objects.filter(user=request.user).count(), 'search_count': MainLog.objects.filter(user=request.user, message__icontains='search').filter( message__icontains='post').count(), 'files_count': DataFile.objects.filter(created_by=request.user).count(), 'files': DataFile.objects.filter(created_by=request.user)}) @login_required(login_url='login/') @a_decorator_passing_logs def faq_view(request): return render(request, 'faq.html') @login_required(login_url='login/') @a_decorator_passing_logs def partners_view(request): return render(request, 'to_partners.html') @login_required(login_url='login/') @a_decorator_passing_logs def contacts_view(request): return render(request, 'contacts.html') @a_decorator_passing_logs def logout_view(request): logout(request) return redirect('app:login') def email_confirmation(request, verification_code, user_id): user = get_object_or_404(models.User, pk=user_id) check_code = hashlib.md5('{}'.format(user.pk).encode()).hexdigest() msg = 'Подтвердите email' if verification_code == check_code: user.is_active = True user.save() msg = 'E-mail подтверждён' return render(request, 'email_confirmation.html', {'confirmation': True, 'msg': msg}) elif verification_code == user_id: confirmation_form = EmailConfirmationForm() if request.method == 'POST': confirmation_form = EmailConfirmationForm(request) if check_code == request.POST['code']: user.is_active = True user.save() msg = 'E-mail подтверждён' return render(request, 'email_confirmation.html', {'confirmation': True, 'msg': msg}) else: msg = 'Код неверен' return render(request, 'email_confirmation.html', {'conf_form': confirmation_form, 'msg': msg}) def landing_page_view(request): # https://ianlunn.github.io/Hover/ manufacturers = Manufacturer.objects.all() return render(request, 'landing_page.html', {'manufacturers': manufacturers})

[ "1v1expert@gmail.com" ]

1v1expert@gmail.com

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/personal_portfolio/projects/urls.py

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Hontiris1/Django-Portfolio-Resume

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refs/heads/master

2022-12-25T10:28:09.188483

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from django.urls import path from django.conf.urls import url from . import views urlpatterns = [ path("", views.project_index, name="project_index"), path("<slug:slug>/", views.post_detail, name="project_detail"), ]

[ "56845190+Hontiris1@users.noreply.github.com" ]

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kim-kiwon/Baekjoon-Algorithm

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2023-04-13T11:10:21.031969

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#요구조건에 따라 구현 n, m, x, y, k = map(int, input().split()) data = [] for _ in range(n): data.append(list(map(int, input().split()))) orders = list(map(int, input().split())) dice = [0, 0, 0, 0, 0, 0] dx = [0, 0, 0, -1, 1] dy = [0, 1, -1, 0, 0] for o in orders: #가능하다면 현재 좌표 변화 nx = x + dx[o] ny = y + dy[o] if nx < 0 or nx >= n or ny < 0 or ny >= m: continue x = nx y = ny #주사위 굴림에 따라 각 면의 위치 변화 if o == 1: temp = dice[5] dice[5] = dice[3] dice[3] = dice[2] dice[2] = dice[1] dice[1] = temp elif o == 2: temp = dice[5] dice[5] = dice[1] dice[1] = dice[2] dice[2] = dice[3] dice[3] = temp elif o == 3: temp = dice[0] dice[0] = dice[2] dice[2] = dice[4] dice[4] = dice[5] dice[5] = temp elif o == 4: temp = dice[0] dice[0] = dice[5] dice[5] = dice[4] dice[4] = dice[2] dice[2] = temp #지도값에 따라 바닥값 & 지도값 변화 if data[x][y] == 0: data[x][y] = dice[5] else: dice[5] = data[x][y] data[x][y] = 0 print(dice[2])

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2022-05-22T12:20:47.220506

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # */AIPND-revision/intropyproject-classify-pet-images/get_input_args.py # # PROGRAMMER: Alexandra # DATE CREATED: 14.04.2020 # REVISED DATE: # PURPOSE: Create a function that retrieves the following 3 command line inputs # from the user using the Argparse Python module. If the user fails to # provide some or all of the 3 inputs, then the default values are # used for the missing inputs. Command Line Arguments: # 1. Image Folder as --dir with default value 'pet_images' # 2. CNN Model Architecture as --arch with default value 'vgg' # 3. Text File with Dog Names as --dogfile with default value 'dognames.txt' # ## # Imports python modules import argparse def get_input_args(): """ Retrieves and parses the 3 command line arguments provided by the user when they run the program from a terminal window. This function uses Python's argparse module to created and defined these 3 command line arguments. If the user fails to provide some or all of the 3 arguments, then the default values are used for the missing arguments. Command Line Arguments: 1. Image Folder as --dir with default value 'pet_images' 2. CNN Model Architecture as --arch with default value 'vgg' 3. Text File with Dog Names as --dogfile with default value 'dognames.txt' This function returns these arguments as an ArgumentParser object. Parameters: None - simply using argparse module to create & store command line arguments Returns: parse_args() -data structure that stores the command line arguments object """ def get_input_args(): """ Retrieves and parses the 3 command line arguments provided by the user when they run the program from a terminal window. This function uses Python's argparse module to created and defined these 3 command line arguments. If the user fails to provide some or all of the 3 arguments, then the default values are used for the missing arguments. Command Line Arguments: 1. Image Folder as --dir with default value 'pet_images' 2. CNN Model Architecture as --arch with default value 'vgg' 3. Text File with Dog Names as --dogfile with default value 'dognames.txt' This function returns these arguments as an ArgumentParser object. Parameters: None - simply using argparse module to create & store command line arguments Returns: parse_args() -data structure that stores the command line arguments object """ # Creates parse parser = argparse.ArgumentParser() # Creates 3 command line arguments args.dir for path to images files, # args.arch which CNN model to use for classification, args.labels path to # text file with names of dogs. parser.add_argument('--dir', type=str, default='pet_images/', help='Image Folder Path') # --arch - the CNN model architecture parser.add_argument('--arch', type=str, default = 'vgg', help='CNN Model Architecture') # --dogfile - text file of names of dog breeds parser.add_argument('--dogfile', type=str, default = 'dognames.txt', help='Dog Breeds Text File') # Return parser.parse_args() parsed argument return parser.parse_args()

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from typing import Any, Dict, Union import numpy as np import pandas as pd import abc from dataclasses import dataclass class RecommenderError(Exception): pass @dataclass class BaseRecommender(abc.ABC): col_product_id: str = "id" _fitted: bool = False @abc.abstractmethod def fit(self, X: pd.DataFrame) -> None: ... def predict(self, X: pd.DataFrame) -> pd.Series: if not self._fitted: raise RecommenderError("The recommender must be trained first.") preds = self._predict(X) return preds @abc.abstractmethod def _predict(self, X: pd.DataFrame) -> pd.Series: ... def predict_single_instance(self, x: Dict[str, Union[str, int, float]]) -> str: X = pd.DataFrame.from_records([x]) pred = self.predict(X) return pred.iloc[0] @dataclass class BasicBossThemaRecommender(BaseRecommender): col_group: str = "boss_thema_id" def fit(self, X: pd.DataFrame) -> None: self.groups = ( X.groupby(self.col_group)[self.col_product_id] .apply(list) .rename("__preds__") ) self._fitted = True def _predict(self, X: pd.DataFrame) -> pd.Series: if self.col_group not in X: raise RecommenderError(f"the required column is missing: {self.col_group}") df_with_preds = X.merge( self.groups, left_on=self.col_group, right_index=True, validate="m:1" ) preds = df_with_preds.set_index(self.col_product_id)["__preds__"] return preds class BaseSelector(abc.ABC): col_product_id: str = "id" @abc.abstractmethod def select(self, X: pd.Series) -> pd.Series: ... @dataclass class TopOneSelector(BaseSelector): col_target = "carbon_footprint_co2_in_car_km" def select(self, X: pd.Series, product_data: pd.DataFrame) -> pd.DataFrame: col_preds = "recommendation_id" X_ = X.copy() # expand lists into multiple rows stacked_preds = ( X_.apply(pd.Series) .stack() .reset_index() .rename(columns={0: col_preds})[[self.col_product_id, col_preds]] ) # add targets for the tested products col_target_test = f"{self.col_target}_test" product_scores = product_data[[self.col_product_id, self.col_target]].rename( columns={self.col_target: col_target_test} ) stacked_preds = stacked_preds.merge( product_scores, left_on=self.col_product_id, right_on=self.col_product_id, ) # add targets for the recommendations col_target_reco = f"{self.col_target}_reco" product_scores = product_data[[self.col_product_id, self.col_target]].rename( columns={self.col_target: col_target_reco, self.col_product_id: col_preds} ) stacked_preds = stacked_preds.merge( product_scores, left_on=col_preds, right_on=col_preds, ) # choose the product that is the best col_diff = "diff_preds" stacked_preds[col_diff] = ( stacked_preds[col_target_test] - stacked_preds[col_target_reco] ) idx_best_options = stacked_preds.groupby(self.col_product_id)[col_diff].idxmax() # drop entries with missing bestalternative best_options = stacked_preds.loc[idx_best_options.loc[lambda x: x.notnull()]] # drop entries with the best alternative having the same metric value best_options = best_options[best_options[col_diff] > 0] # format the output best_options = best_options[ [self.col_product_id, col_preds, col_diff] ].reset_index(drop=True) return best_options

[ "mischa.lisovyi@mgb.ch" ]

mischa.lisovyi@mgb.ch

cda5871aaa1cd77fa56ab3b28dc623079fdd31e7

7abc50131d92120ebeefe4c5b3f27e94622eb866

/001_Python基础/031_pyhton类.py

9c1f0d087986d630de8bbe34e97b29fda46e5e4e

[]

no_license

dogpi/StudyPython

4b94b3b655cf509ad9002ea9da0d48746964bd7d

87cabbfe46455e6e8864207cf614d7cd65062f89

refs/heads/master

2020-08-31T11:30:02.808766

2019-10-31T04:16:00

218,680,262

1

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UTF-8

Python

false

1,593

py

# object:基类，超类，所有类的父类 class Person(object): # 定义属性 # name = "" # age = 0 # height = 0 # weight = 0 ''' 构造函数：在创建对象时自动调用 ''' def __init__(self, name, age, height, weight): print("__init__") print(name, age, height, weight) self.name = name # self.name 表示具体实例的name self.age = age self.height = height self.weight = weight # 析构函数 # 对象释放时自动调用 def __del__(self): print("析构函数") #定义方法 # 方法的第一个参数必须是self # self代表类的实例（某个对象） def run(self): print("run") def eat(self,food): print("eat",food) def openDoor(self): print("我已经打开了冰箱门") def fillEle(self): print("我已经把大=大象装进了冰箱") def closeDoor(self): print("我已经关闭冰箱门") ''' 实例化对象格式：对象名 = 类名（参数列表） ''' ''' # 实例化一个对象 per1 = Person() print(per1) print(type(per1)) per2 = Person() print(per2) print(type(per2)) # 设置属性 per1.name = "tom" per1.age = 18 per1.height = 180 per1.weight = 140 print(per1.name,per1.age,per1.height,per1.weight) # 调用方法 per1.openDoor() per1.fillEle() per1.closeDoor() per1.eat("apple") ''' per = Person("tom",18,180,140) # 手动释放对象，调用该对象的析构函数 del per

[ "noreply@github.com" ]

dogpi.noreply@github.com

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/dashboard/admin.py

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[]

no_license

ahmdkhan-cs/Facebook-Sentiments

bb12821ea575ed4ff40d99ca00e8b1542f409267

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refs/heads/master

2022-12-01T16:31:51.107499

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from django.contrib import admin from . import models # Register your models here. admin.site.register(models.Page)

[ "akhn358@gmail.com" ]

akhn358@gmail.com

861a7a1732edf6f26a65e98a821b9b2502a797ca

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cchan27/CIS2348

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refs/heads/main

2023-08-22T12:13:14.601183

2021-10-17T02:23:58

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# Caleb Chan, 1831296 usr_text = input() word_a = '' word_b = '' for i in usr_text: if i != "": word_a = word_a + i.replace(' ', '') word_b = i.replace(' ', '') + word_b print(word_a) print(word_b) if word_a == word_b: print('{} is a palindrome'.format(usr_text)) else: print('{} is not a palindrome'.format(usr_text))

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cchan27.noreply@github.com

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/Python/DL/Dev/neural/matrixcalc.py

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no_license

ogawa-yu/DevHome

d4c5dbce00822c8f19166d4cbf0d0713d928c653

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refs/heads/master

2021-07-07T08:55:45.393209

2019-01-06T03:07:56

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import numpy as np import matplotlib.pyplot as plt def printArray(X): print("======Print Array=======") print(X) print(np.ndim(X)) print(X.shape) print(X.shape[0]) print("======Print END =======") A = np.array([1, 2, 3, 4]) B = np.array([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]]) C = np.array([[1.0, 2.0], [3.0, 4.0]]) D = np.array([[5.0, 6.0], [7.0, 8.0]]) E = np.array([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]]) printArray(A) printArray(B) printArray(np.dot(C, D)) printArray(np.dot(D, C)) print(np.dot(C, D) is np.dot(D, C)) printArray(np.dot(B, C)) printArray(np.dot(B, D)) printArray(np.dot(B,E))

[ "badm.y.ogawa@gmail.com" ]

badm.y.ogawa@gmail.com

4a041294c21b7209e66526b08ddc74cc9d670592

f59baca7628598192b004b9ce69850034e17ffe9

/src/posts/urls.py

a1d5da2108733cf150eec704fb33e6614aae367b

[]

no_license

ihdba/django_ajax

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17f7ab9b8d0d80542b36d65de5623404025e3827

refs/heads/main

2023-03-31T14:27:36.087686

2021-04-11T07:43:47

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from django.urls import path from .views import ( post_list_and_create, load_post_data_view, like_unlike_post, post_detail, post_detail_data_view, delete_post, update_post, ) app_name = 'posts' urlpatterns = [ path('', post_list_and_create, name = 'main-board'), path('data/<int:num_posts>/', load_post_data_view, name = 'posts-data'), path('like-unlike/', like_unlike_post, name = 'like-unlike'), path('<pk>/', post_detail, name = 'post-detail'), path('<pk>/data/', post_detail_data_view, name = 'post-detail-data'), path('<pk>/update/', update_post, name = 'post-update'), path('<pk>/delete/', delete_post, name = 'post-delete'), ]

[ "ioannis@Ioanniss-iMac.local" ]

ioannis@Ioanniss-iMac.local

5b1acdbbbc44548e7b618008e2273206942ec172

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/server/models/__init__.py

6687ad890fa1d5113ebc80857af0282e48767225

[]

no_license

plollaton/treinamento_python1_back

641007af6c71902518e04a293dcea2968ad3d64b

7932690cd10a75f8794cd87028e359abfb73bab9

refs/heads/main

2023-02-15T16:03:52.886082

2021-01-15T19:52:31

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from .models import Album, Photos try: Album.create_table() except: pass try: Photos.create_table() except: pass

[ "plollaton@hotmail.com" ]

plollaton@hotmail.com

8b955993a7f52285a6cd43ba2209597c4449cbec

958d5bd8cde0c058ae44aad5d108c1adaef9a06a

/mysite/polls/migrations/0001_initial.py

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divya2424/django-basic

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refs/heads/master

2022-04-24T16:20:39.662803

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# -*- coding: utf-8 -*- # Generated by Django 1.11.29 on 2020-04-23 19:48 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Choice', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('choice_text', models.CharField(max_length=200)), ('votes', models.IntegerField(default=0)), ], ), migrations.CreateModel( name='Question', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('question_text', models.CharField(max_length=200)), ('pub_date', models.DateTimeField(verbose_name='date published')), ], ), migrations.AddField( model_name='choice', name='question', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='polls.Question'), ), ]

[ "divya2401@bitbucket.org" ]

divya2401@bitbucket.org

25489f7c159b13c6cf582874ffd69d3ed7ec89e3

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/Code/CodeRecords/2126/60604/259679.py

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AdamZhouSE/pythonHomework

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refs/heads/master

2022-11-24T08:05:22.122011

2020-07-28T16:21:24

259,576,640

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UTF-8

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283

py

n=input().split(',') for i in range(len(n)): n[i]=int(n[i]) n.sort() res=[] res.append(n[0]) for i in range(1,len(n)): #print(res) j=True for j in res: if n[i]%j!=0 and j%n[i]!=0: j=False if j: res.append(n[i]) print(res)

[ "1069583789@qq.com" ]

1069583789@qq.com

22839aa3e04df540b1da346258eed2b11d22b3e4

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/12월 3주차/[LEETCODE] 4Sum.py

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[]

no_license

2020-ASW/gayoung_yoon

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refs/heads/main

2023-02-14T19:28:38.966502

2021-01-10T07:56:10

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''' 정렬 후, a,b,c,d를 결정해야한다. 4중for문보다 a, b는 for문으로 결정하고, c,d는 while문 이용 ''' # class Solution: def fourSum(nums, target): nums = [1,0,-1,0,-2,2] target = 0 nums = sorted(nums) nums_len = len(nums) # a, b를 설정하고 나서 c, d도 설정해야하기때문에 # for문 돌린 후 2개 값을 설정할 수 있어야한다. check = set() for a in range(len(nums) - 3): for b in range(a + 1, len(nums) - 2): new_target = target - nums[a] - nums[b] c, d = b + 1, nums_len - 1 while d > c: if new_target == nums[c] + nums[d]: check.add((nums[a], nums[b], nums[c], nums[d])) c += 1 d -= 1 elif new_target > nums[c] + nums[d]: c += 1 else: d -= 1 return list(check) # nums = [1,0,-1,0,-2,2] # target = 0 # print(fourSum(nums, target))

[ "gyyoon4u@naver.com" ]

gyyoon4u@naver.com

4013c6f42b3aa290fa59fe04f8976bdb1f342c12

1abcfe11e193ec840c1ec0969d36e9bd0916f61f

/source/helpers.py

b37cf20b34a820b7dd7168a9707449e8c91a29cf

[ "LicenseRef-scancode-warranty-disclaimer", "MIT", "BSD-3-Clause" ]

permissive

jcushman/password_change_tool

ed690070f8de4ceede1a20ac74f62b990c9433d6

efbf2968eef9d4e1f9b9053384b65386c918b75d

refs/heads/master

2020-07-20T18:06:06.311266

2014-08-27T13:50:33

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2015-01-19T18:13:26

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import ctypes from multiprocessing.pool import ThreadPool import os import sys import threading import wx from wx.lib.pubsub import pub import crypto import platform_tools from ramdisk import RamDisk from global_state import GlobalState def get_data_dir(): if hasattr(sys, "frozen"): this_module = unicode(sys.executable, sys.getfilesystemencoding()) if sys.platform == 'darwin': return os.path.dirname(this_module) else: raise NotImplementedError("Don't know where to find resources on this OS yet.") # running as regular script return os.path.dirname(os.path.dirname(__file__)) def data_path(path): return os.path.join(get_data_dir(), path) def bind_click_event(button, message, **kwargs): button.Bind(wx.EVT_BUTTON, lambda evt: pub.sendMessage(message, **kwargs)) return button def show_message(message, title='', options=wx.OK): dlg = wx.MessageDialog(None, message, title, options) dlg.ShowModal() dlg.Destroy() def show_error(message, title="Error"): show_message(message, title) def ask(parent=None, message=''): dlg = wx.TextEntryDialog(parent, message) dlg.ShowModal() result = dlg.GetValue() dlg.Destroy() return result def use_ramdisk(): """ Return True if password managers can use a ramdisk on this platform for file exchange. """ return sys.platform == 'darwin' def get_password_managers(): # process password manager plugins # TODO: make this auto-discover and move it somewhere sensible from managers.onepassword import OnePasswordImporter return { 'onepassword':OnePasswordImporter } def set_up_import_ramdisk(name="FreshPass Secure Disk"): """ Mount a ramdisk in a background thread and configure it for file import. Callers can subscribe to 'ramdisk.loaded' and 'ramdisk.failed' to be alerted when load is complete. If successful, ramdisk object will be stored in GlobalState.ramdisk. Callers can subscribe to 'ramdisk.files_added' to be alerted when files are added to the disk. """ def load_ramdisk(): try: ramdisk = RamDisk(name, source_image=data_path('resources/mac_disk_image_compressed.dmg')) ramdisk.mount() GlobalState.cleanup_message.send({'action': 'unmount', 'path': ramdisk.path, 'device': ramdisk.device}) if sys.platform == 'darwin': platform_tools.run_applescript(file=data_path('resources/display disk image.scpt')) crypto.set_access_control_for_import_folder(ramdisk.path) ramdisk.watch() GlobalState.ramdisk = ramdisk wx.CallAfter(pub.sendMessage, 'ramdisk.loaded') except NotImplementedError: wx.CallAfter(pub.sendMessage, 'ramdisk.failed') ramdisk_loading_thread = threading.Thread(target=load_ramdisk) ramdisk_loading_thread.start() def get_first_result_from_threads(calls): calls = list(enumerate(calls)) def run_func(call): i, call = call func = call[0] args = call[1] if len(call)>1 else [] kwargs = call[2] if len(call)>2 else {} try: return i, func(*args, **kwargs) except Exception as e: return i, e pool = ThreadPool(processes=len(calls)) result = pool.imap_unordered(run_func, calls).next() for thread in pool._pool: # via http://stackoverflow.com/a/15274929 if not thread.isAlive(): continue exc = ctypes.py_object(SystemExit) res = ctypes.pythonapi.PyThreadState_SetAsyncExc( ctypes.c_long(thread.ident), exc) if res == 0: raise ValueError("nonexistent thread id") elif res > 1: # """if it returns a number greater than one, you're in trouble, # and you should call it again with exc=NULL to revert the effect""" ctypes.pythonapi.PyThreadState_SetAsyncExc(thread.ident, None) raise SystemError("PyThreadState_SetAsyncExc failed") return result

[ "jcushman@gmail.com" ]

jcushman@gmail.com

161d73575db110913f2bf402aa5a22d649d786ff

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/rookery/checkers/ip.py

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BorisPlus/otus_webpython_020_021_celery

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refs/heads/master

2022-05-26T10:55:19.997403

2018-11-07T11:17:56

156,196,092

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127

py

#!/usr/bin/env python3 from .core.base_checkers import ip def check(domain_url_or_ip): return ip.check(domain_url_or_ip)

[ "boris-plus@mail.ru" ]

boris-plus@mail.ru

e52b50956b795494549c1453cc42a4e77b02fd23

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/inference.py

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[]

no_license

AniketGurav/Attention-OCR-pytorch

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eacbb2f8f83eb47af08da6a3666715d714565071

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2023-07-03T00:52:51.062816

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# Inference Script --> Given Image, Output Label import torch import os from PIL import Image from torchvision import transforms from model.attention_ocr import OCR from utils.tokenizer import Tokenizer import json import matplotlib.pyplot as plt # Train and infer on same CNN Backbone # Loading Json File json_file="config_infer.json" f = open(json_file, ) data = json.load(f) cnn_option = data["cnn_option"] cnn_backbone = data["cnn_backbone_model"][str(cnn_option)] # list containing model, model_weight # Tokenizer tokenizer = Tokenizer(list(data["chars"])) # Model Architecture model = OCR(data["img_width"], data["img_height"], data["nh"], tokenizer.n_token, data["max_len"] + 1, tokenizer.SOS_token, tokenizer.EOS_token,cnn_backbone).to(device=data["device"]) # Model checkpoint Load model.load_state_dict(torch.load(data["model_path"])) # Image Transformation img_trans = transforms.Compose([ transforms.Resize((data["img_height"], data["img_width"])), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=(0.229, 0.224, 0.225)), ]) # Inference Function --> Input: Source Image directory, Text File containing name of Image def _inference(test_dir,filename): count=0 model.eval() with torch.no_grad(): with open(os.path.join(test_dir, filename), 'r') as fp: for img_name in fp.readlines(): img_name = img_name.strip("\n") img_filename=img_name.split(data["data_file_separator"])[0] #act_label=img_name.split(data["data_file_separator"])[1] image_file = os.path.abspath(os.path.join(test_dir, img_filename)) img=Image.open(image_file) pred = model(img_trans(img).unsqueeze(0).to(device=data["device"])) pred_label = tokenizer.translate(pred.squeeze(0).argmax(1)) print(pred_label) plt.imshow(img) plt.savefig(data["res_output"] + "/" + pred_label + '.png') count=count+1 print("Saved {} file".format(count)) # plt.title(pred_label) # plt.imshow(img) # plt.show() print("Complete Saving {} files".format(count)) #print(pred_label,act_label) if __name__=="__main__": _inference(data["test_dir"],data["inference_file"])

[ "ankanroni3@gmail.com" ]

ankanroni3@gmail.com

94622d6fcc9d234946d65e22c3520e93bf586eed

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/unused/us07.py

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[]

no_license

tarikkdiry/spring2018-ssw555

4b1207329f120c91fa12c9e9b06b6dfb38b5fede

3b452a6479a569119b8d1d32a143bc8b80425419

refs/heads/master

2021-04-28T19:37:41.410394

2018-04-12T17:38:38

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2018-04-12T17:38:39

2018-02-17T23:15:24

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Python

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from datetime import datetime LEVELS = {'INDI':'0', 'NAME':'1', 'SEX':'1', 'BIRT':'1', 'DEAT':'1', 'FAMC':'1', 'FAMS':'1', 'FAM':'0', 'MARR':'1', 'HUSB':'1', 'WIFE':'1', 'CHIL':'1', 'DIV':'1', 'DATE':'2', 'HEAD':'0', 'TRLR':'0', 'NOTE':'0'} def us07(Children): '''Check to see if there are fifteen siblings, 15 kids is ridiculous''' for l in line: if len(Children) >= 15: return False return True

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#!usr/bin/env python # -*- encoding: utf-8 -*- import os import time from slackclient import SlackClient # bot 的 ID 作为一个环境变量 BOT_ID = os.environ.get("BOT_ID") # 常量 AT_BOT = "<@" + BOT_ID + ">:" EXAMPLE_COMMAND = "do" # 实例化 Slack 和 Twilio 客户端 slack_client = SlackClient(os.environ.get('SLACK_BOT_TOKEN')) def handle_command(command, channel): """ Receives commands directed at the bot and determines if they are valid commands. If so, then acts on the commands. If not, returns back what it needs for clarification. """ response = "Not sure what you mean. Use the *" + EXAMPLE_COMMAND + \ "* command with numbers, delimited by spaces." if command.startswith(EXAMPLE_COMMAND): response = "Sure...write some more code then I can do that!" slack_client.api_call("chat.postMessage", channel=channel, text=response, as_user=True) def parse_slack_output(slack_rtm_output): """ The Slack Real Time Messaging API is an events firehose. this parsing function returns None unless a message is directed at the Bot, based on its ID. """ output_list = slack_rtm_output if output_list and len(output_list) > 0: for output in output_list: if output and 'text' in output and AT_BOT in output['text']: # 返回 @ 之后的文本，删除空格 return output['text'].split(AT_BOT)[1].strip().lower(), \ output['channel'] return None, None if __name__ == "__main__": READ_WEBSOCKET_DELAY = 1 # 1 从 firehose 读取延迟 1 秒 if slack_client.rtm_connect(): print("Moutainchicken connected and running!") while True: command_, channel_ = parse_slack_output(slack_client.rtm_read()) if command_ and channel_: handle_command(command_, channel_) time.sleep(READ_WEBSOCKET_DELAY) else: print("Connection failed. Invalid Slack token or bot ID?")

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liangbinsi@gmail.com

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satyamshree22/oneDkinematicpy

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2022-11-13T21:41:13.408759

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import math def final_velocity(initial_velocity=0,acceleration=0,time=0,final_position=0,initial_position=0): # when time is t given if time != 0 and acceleration !=0 : # vx=vox +ax*t final_velocity = initial_velocity + acceleration * (time) return final_velocity elif time == 0 and acceleration != 0: # vx^2=v0x^2 +2ax(x-xo) final_velocity =math.sqrt((pow(initial_velocity,2)+ 2*acceleration*(final_position-initial_velocity))) return final_velocity elif time != 0 and acceleration == 0: final_velocity =2*(final_position-initial_position)/time - initial_velocity return final_velocity def initial_velocity(final_velocity = 0,acceleration = 0,time = 0,final_position = 0,initial_position = 0): # when time is t given if time != 0 and acceleration != 0 : # vx=vox +ax*t initial_velocity= acceleration * pow(time,2)-initial_velocity return initial_velocity elif time == 0 and acceleration !=0: # vx^2=v0x^2 +2ax(x-xo) initial_velocity =math.sqrt((2*acceleration*(final_position-initial_velocity))-pow(final_velocity,2)) return initial_velocity elif time != 0 and acceleration == 0: initial_velocity =2*(final_position-initial_position)/time - final_velocity return initial_velocity def find_acceleration(initial_velocity=0,final_velocity=0,initial_position=0,final_position=0,time=0): if time==0: acceleration=(pow(final_velocity,2)-pow(initial_velocity,2))/(2*(final_position-initial_position)) else: if final_position == 0 and initial_position ==0: acceleration=(final_velocity-initial_velocity)/time return acceleration else: acceleration=(2*(final_position-initial_position) - initial_velocity*time)/(time*time) return acceleration def find_displacement(initial_velocity=0,final_velocity=0,acceleration=0,time=0): if time == 0 and acceleration !=0: displacement= (pow(final_velocity,2)-pow(initial_velocity,2))/(2*acceleration) return displacement elif time!=0 and acceleration == 0: displacement = ((initial_velocity+final_velocity)*time)/2 return displacement else: displacement =((initial_velocity*time + .5*acceleration*time*time)) return displacement def kmph_mps(velocity): return 5*velocity/18 def mps_kmph(velocity): return 18*velocity/5

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satyamshree22@gmail.com

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no_license

plmwa/nittc-bot

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import os from dotenv import load_dotenv from requests_oauthlib import OAuth1Session def tweet(a,b): CONSUMER_KEY = os.environ["CONSUMER_KEY"] CONSUMER_SECRET = os.environ["CONSUMER_SECRET"] ACCESS_TOKEN = os.environ["ACCESS_TOKEN"] ACCESS_TOKEN_SECRET = os.environ["ACCESS_TOKEN_SECRET"] url = "https://api.twitter.com/1.1/statuses/update.json" twitter = OAuth1Session(CONSUMER_KEY, CONSUMER_SECRET, ACCESS_TOKEN, ACCESS_TOKEN_SECRET) tweet = a+" "+b #ツイート内容 params = {"status" : tweet} req = twitter.post(url, params = params) #ここでツイート if req.status_code == 200: #成功 print("Succeed!") else: #エラー print("ERROR : %d"% req.status_code)

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townstgak@gmail.com

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no_license

patrikturi/kBackend

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2020-12-26T14:06:17

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""" WSGI config for kbackend project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.1/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application from whitenoise import WhiteNoise os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'core.settings.production') application = get_wsgi_application() application = WhiteNoise(application) application.add_files('./core/static', prefix='static')

[ "patrik.turi.0xff@gmail.com" ]

patrik.turi.0xff@gmail.com

dfecf2f243803bdb56737a4fa2c9e671acc37da9

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/src/aihwkit/cloud/converter/definitions/onnx_common_pb2.py

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[ "Apache-2.0" ]

permissive

tunghoang290780/aihwkit

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refs/heads/master

2023-05-06T20:19:40.692587

2021-05-17T10:15:31

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# Generated by the protocol buffer compiler. DO NOT EDIT! # source: onnx_common.proto # Some of the data structures in this file are derivatives of the ONNX # specification (https://github.com/onnx/onnx), licensed under Apache-2.0 # as per the terms below. # Copyright (c) ONNX Project Contributors # # 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 sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor 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() DESCRIPTOR = _descriptor.FileDescriptor( name='onnx_common.proto', package='aihwx', syntax='proto2', serialized_options=None, serialized_pb=_b('\n\x11onnx_common.proto\x12\x05\x61ihwx\"\x91\x03\n\x0e\x41ttributeProto\x12\x0c\n\x04name\x18\x01 \x01(\t\x12\x31\n\x04type\x18\x14 \x01(\x0e\x32#.aihwx.AttributeProto.AttributeType\x12\t\n\x01\x66\x18\x02 \x01(\x02\x12\t\n\x01i\x18\x03 \x01(\x03\x12\t\n\x01s\x18\x04 \x01(\x0c\x12\x1d\n\x01t\x18\x05 \x01(\x0b\x32\x12.aihwx.TensorProto\x12\t\n\x01\x62\x18\x65 \x01(\x08\x12\x0e\n\x06\x66loats\x18\x07 \x03(\x02\x12\x0c\n\x04ints\x18\x08 \x03(\x03\x12\x0f\n\x07strings\x18\t \x03(\x0c\x12#\n\x07tensors\x18\n \x03(\x0b\x32\x12.aihwx.TensorProto\x12\r\n\x05\x62ools\x18\x66 \x03(\x08\"\x8f\x01\n\rAttributeType\x12\r\n\tUNDEFINED\x10\x00\x12\t\n\x05\x46LOAT\x10\x01\x12\x07\n\x03INT\x10\x02\x12\n\n\x06STRING\x10\x03\x12\n\n\x06TENSOR\x10\x04\x12\x08\n\x04\x42OOL\x10\x65\x12\n\n\x06\x46LOATS\x10\x06\x12\x08\n\x04INTS\x10\x07\x12\x0b\n\x07STRINGS\x10\x08\x12\x0b\n\x07TENSORS\x10\t\x12\t\n\x05\x42OOLS\x10\x66\"\x89\x02\n\x0bTensorProto\x12\x0c\n\x04\x64ims\x18\x01 \x03(\x03\x12\x11\n\tdata_type\x18\x02 \x01(\x05\x12\x16\n\nfloat_data\x18\x04 \x03(\x02\x42\x02\x10\x01\x12\x16\n\nint32_data\x18\x05 \x03(\x05\x42\x02\x10\x01\x12\x13\n\x0bstring_data\x18\x06 \x03(\x0c\x12\x16\n\nint64_data\x18\x07 \x03(\x03\x42\x02\x10\x01\"|\n\x08\x44\x61taType\x12\r\n\tUNDEFINED\x10\x00\x12\t\n\x05\x46LOAT\x10\x01\x12\t\n\x05UINT8\x10\x02\x12\x08\n\x04INT8\x10\x03\x12\n\n\x06UINT16\x10\x04\x12\t\n\x05INT16\x10\x05\x12\t\n\x05INT32\x10\x06\x12\t\n\x05INT64\x10\x07\x12\n\n\x06STRING\x10\x08\x12\x08\n\x04\x42OOL\x10\t\"\x96\x01\n\x10TensorShapeProto\x12.\n\x03\x64im\x18\x01 \x03(\x0b\x32!.aihwx.TensorShapeProto.Dimension\x1aR\n\tDimension\x12\x13\n\tdim_value\x18\x01 \x01(\x03H\x00\x12\x13\n\tdim_param\x18\x02 \x01(\tH\x00\x12\x12\n\ndenotation\x18\x03 \x01(\tB\x07\n\x05value') ) _ATTRIBUTEPROTO_ATTRIBUTETYPE = _descriptor.EnumDescriptor( name='AttributeType', full_name='aihwx.AttributeProto.AttributeType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='UNDEFINED', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='FLOAT', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INT', index=2, number=2, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='STRING', index=3, number=3, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='TENSOR', index=4, number=4, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='BOOL', index=5, number=101, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='FLOATS', index=6, number=6, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INTS', index=7, number=7, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='STRINGS', index=8, number=8, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='TENSORS', index=9, number=9, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='BOOLS', index=10, number=102, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=287, serialized_end=430, ) _sym_db.RegisterEnumDescriptor(_ATTRIBUTEPROTO_ATTRIBUTETYPE) _TENSORPROTO_DATATYPE = _descriptor.EnumDescriptor( name='DataType', full_name='aihwx.TensorProto.DataType', filename=None, file=DESCRIPTOR, values=[ _descriptor.EnumValueDescriptor( name='UNDEFINED', index=0, number=0, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='FLOAT', index=1, number=1, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='UINT8', index=2, number=2, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INT8', index=3, number=3, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='UINT16', index=4, number=4, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INT16', index=5, number=5, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INT32', index=6, number=6, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='INT64', index=7, number=7, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='STRING', index=8, number=8, serialized_options=None, type=None), _descriptor.EnumValueDescriptor( name='BOOL', index=9, number=9, serialized_options=None, type=None), ], containing_type=None, serialized_options=None, serialized_start=574, serialized_end=698, ) _sym_db.RegisterEnumDescriptor(_TENSORPROTO_DATATYPE) _ATTRIBUTEPROTO = _descriptor.Descriptor( name='AttributeProto', full_name='aihwx.AttributeProto', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='aihwx.AttributeProto.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='type', full_name='aihwx.AttributeProto.type', index=1, number=20, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='f', full_name='aihwx.AttributeProto.f', index=2, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='i', full_name='aihwx.AttributeProto.i', index=3, number=3, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='s', full_name='aihwx.AttributeProto.s', index=4, number=4, type=12, cpp_type=9, label=1, has_default_value=False, default_value=_b(""), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='t', full_name='aihwx.AttributeProto.t', index=5, number=5, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='b', full_name='aihwx.AttributeProto.b', index=6, number=101, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='floats', full_name='aihwx.AttributeProto.floats', index=7, number=7, type=2, cpp_type=6, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='ints', full_name='aihwx.AttributeProto.ints', index=8, number=8, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='strings', full_name='aihwx.AttributeProto.strings', index=9, number=9, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='tensors', full_name='aihwx.AttributeProto.tensors', index=10, number=10, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='bools', full_name='aihwx.AttributeProto.bools', index=11, number=102, type=8, cpp_type=7, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ _ATTRIBUTEPROTO_ATTRIBUTETYPE, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=29, serialized_end=430, ) _TENSORPROTO = _descriptor.Descriptor( name='TensorProto', full_name='aihwx.TensorProto', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dims', full_name='aihwx.TensorProto.dims', index=0, number=1, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='data_type', full_name='aihwx.TensorProto.data_type', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='float_data', full_name='aihwx.TensorProto.float_data', index=2, number=4, type=2, cpp_type=6, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=_b('\020\001'), file=DESCRIPTOR), _descriptor.FieldDescriptor( name='int32_data', full_name='aihwx.TensorProto.int32_data', index=3, number=5, type=5, cpp_type=1, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=_b('\020\001'), file=DESCRIPTOR), _descriptor.FieldDescriptor( name='string_data', full_name='aihwx.TensorProto.string_data', index=4, number=6, type=12, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='int64_data', full_name='aihwx.TensorProto.int64_data', index=5, number=7, type=3, cpp_type=2, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=_b('\020\001'), file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ _TENSORPROTO_DATATYPE, ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=433, serialized_end=698, ) _TENSORSHAPEPROTO_DIMENSION = _descriptor.Descriptor( name='Dimension', full_name='aihwx.TensorShapeProto.Dimension', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dim_value', full_name='aihwx.TensorShapeProto.Dimension.dim_value', index=0, number=1, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='dim_param', full_name='aihwx.TensorShapeProto.Dimension.dim_param', index=1, number=2, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='denotation', full_name='aihwx.TensorShapeProto.Dimension.denotation', index=2, number=3, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ _descriptor.OneofDescriptor( name='value', full_name='aihwx.TensorShapeProto.Dimension.value', index=0, containing_type=None, fields=[]), ], serialized_start=769, serialized_end=851, ) _TENSORSHAPEPROTO = _descriptor.Descriptor( name='TensorShapeProto', full_name='aihwx.TensorShapeProto', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='dim', full_name='aihwx.TensorShapeProto.dim', index=0, number=1, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_TENSORSHAPEPROTO_DIMENSION, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto2', extension_ranges=[], oneofs=[ ], serialized_start=701, serialized_end=851, ) _ATTRIBUTEPROTO.fields_by_name['type'].enum_type = _ATTRIBUTEPROTO_ATTRIBUTETYPE _ATTRIBUTEPROTO.fields_by_name['t'].message_type = _TENSORPROTO _ATTRIBUTEPROTO.fields_by_name['tensors'].message_type = _TENSORPROTO _ATTRIBUTEPROTO_ATTRIBUTETYPE.containing_type = _ATTRIBUTEPROTO _TENSORPROTO_DATATYPE.containing_type = _TENSORPROTO _TENSORSHAPEPROTO_DIMENSION.containing_type = _TENSORSHAPEPROTO _TENSORSHAPEPROTO_DIMENSION.oneofs_by_name['value'].fields.append( _TENSORSHAPEPROTO_DIMENSION.fields_by_name['dim_value']) _TENSORSHAPEPROTO_DIMENSION.fields_by_name['dim_value'].containing_oneof = _TENSORSHAPEPROTO_DIMENSION.oneofs_by_name['value'] _TENSORSHAPEPROTO_DIMENSION.oneofs_by_name['value'].fields.append( _TENSORSHAPEPROTO_DIMENSION.fields_by_name['dim_param']) _TENSORSHAPEPROTO_DIMENSION.fields_by_name['dim_param'].containing_oneof = _TENSORSHAPEPROTO_DIMENSION.oneofs_by_name['value'] _TENSORSHAPEPROTO.fields_by_name['dim'].message_type = _TENSORSHAPEPROTO_DIMENSION DESCRIPTOR.message_types_by_name['AttributeProto'] = _ATTRIBUTEPROTO DESCRIPTOR.message_types_by_name['TensorProto'] = _TENSORPROTO DESCRIPTOR.message_types_by_name['TensorShapeProto'] = _TENSORSHAPEPROTO _sym_db.RegisterFileDescriptor(DESCRIPTOR) AttributeProto = _reflection.GeneratedProtocolMessageType('AttributeProto', (_message.Message,), dict( DESCRIPTOR = _ATTRIBUTEPROTO, __module__ = 'onnx_common_pb2' # @@protoc_insertion_point(class_scope:aihwx.AttributeProto) )) _sym_db.RegisterMessage(AttributeProto) TensorProto = _reflection.GeneratedProtocolMessageType('TensorProto', (_message.Message,), dict( DESCRIPTOR = _TENSORPROTO, __module__ = 'onnx_common_pb2' # @@protoc_insertion_point(class_scope:aihwx.TensorProto) )) _sym_db.RegisterMessage(TensorProto) TensorShapeProto = _reflection.GeneratedProtocolMessageType('TensorShapeProto', (_message.Message,), dict( Dimension = _reflection.GeneratedProtocolMessageType('Dimension', (_message.Message,), dict( DESCRIPTOR = _TENSORSHAPEPROTO_DIMENSION, __module__ = 'onnx_common_pb2' # @@protoc_insertion_point(class_scope:aihwx.TensorShapeProto.Dimension) )) , DESCRIPTOR = _TENSORSHAPEPROTO, __module__ = 'onnx_common_pb2' # @@protoc_insertion_point(class_scope:aihwx.TensorShapeProto) )) _sym_db.RegisterMessage(TensorShapeProto) _sym_db.RegisterMessage(TensorShapeProto.Dimension) _TENSORPROTO.fields_by_name['float_data']._options = None _TENSORPROTO.fields_by_name['int32_data']._options = None _TENSORPROTO.fields_by_name['int64_data']._options = None # @@protoc_insertion_point(module_scope)

[ "noreply@github.com" ]

tunghoang290780.noreply@github.com

7d45910362770b2b3ae5bd05ee081e705984bf84

b2584b0905f41aa079f7cfa4a4177794e997e6ea

/store/admin.py

14722e35266d138646e438ee21e5b169aa95ca6e

[]

no_license

kazi-akib-abdullah/greatkart-django

f4d393b84b19bc57cb98d66b7c3978cb31f19731

093ac8d327ae3c81a639b1a7d747fe7ea2422182

refs/heads/main

2023-06-06T07:30:38.139142

2021-06-17T23:24:22

377,981,902

0

null

UTF-8

Python

false

357

py

from django.contrib import admin from django.contrib import admin from .models import Product # Register your models here. class ProductAdmin(admin.ModelAdmin): list_display = ('product_name', 'price', 'stock', 'category', 'modified_date', 'is_available') prepopulated_fields = {'slug':('product_name',)} admin.site.register(Product, ProductAdmin)

[ "45953236+kazi-akib-abdullah@users.noreply.github.com" ]

45953236+kazi-akib-abdullah@users.noreply.github.com

925f4b82b689fec23eb3d316b785b7da9fab7966

a05f2d84a3c418c16976a04426eed58488362431

/test1.py

d1b6555d9b319d2290934f378c2fecbc7e4ad6da

[]

no_license

codeproy/newPython

8819180d81740c0a7c10f8cb18c1cdb9407ffa93

4f2097949d8f8de714aaf77a5d1f145ec9938ef4

refs/heads/master

2023-05-08T20:25:27.596265

2021-05-23T04:48:01

69,076,074

0

null

2021-05-23T04:14:38

2016-09-24T03:01:19

Python

UTF-8

Python

false

60

py

# test a = [] for b in a[:]: else: print ("not found")

[ "partho.ece@gmail.com" ]

partho.ece@gmail.com

96f9ea4e947740bc699e18205ebf697fa111a4f7

fd53427af48fa3100e60f91a37285d0c3f1b70d5

/jenkins/jenkins_lascon_sql.py

bfb880e1f13bc9a2da78ed8ca178eb1fe22043af

[]

no_license

devGregA/lascon-demo

93da7fdf35fad61392bad1e9f6bd8f3f97de5332

7449756b87f459a09c902e7845ee2bbeb8ae155d

refs/heads/master

2021-01-10T12:00:02.745825

2015-10-23T16:04:22

44,783,250

1

null

UTF-8

Python

false

1,515

py

# -*- coding: utf-8 -*- import imp from selenium import webdriver from selenium.webdriver.common.keys import Keys from selenium.webdriver.support.ui import Select from selenium.common.exceptions import NoSuchElementException from selenium.common.exceptions import NoAlertPresentException import unittest, time, re import subprocess report_parser = imp.load_source('out_parse', 'ABSOLUTE_PATH/utils/report_parser.py') map_wrapper = imp.load_source('map_wrapper', 'ABSOLUTE_PATH/utils/map_wrapper.py') parser = report_parser.out_parse() parser.start() path = "ABSOLUTE_PATH" class Testing(unittest.TestCase): def setUp(self): self.driver = webdriver.Firefox() self.driver.implicitly_wait(30) self.base_url = "http://127.0.0.1:9080/" self.verificationErrors = [] self.accept_next_alert = True def test_security(self): self.sql_inj_testing() def sql_inj_testing(self): driver = self.driver driver.get(self.base_url ) parser.parse_suite("SQL Injection") driver.get(self.base_url + 'login.jsp') test_result = map_wrapper.execute('python %s/sqlmap/sqlmap.py -r %s/utils/search-text.txt -p username password --level=3 --risk=3 --flush-session --batch' % (path, path) ) status = True if test_result != "Not Found": status = False parser.parse(status, test_result) else: pass self.assertTrue(status) if __name__ == "__main__": unittest.main()

[ "you@example.com" ]

you@example.com

95b4a05c7e3d418a43d634c186390312caa0c739

54b1eb176245485ea46e89f17b9d4d5ac8e8b0a3

/quebap/projects/inferbeddings/sampling.py

28d4654eb959b403df1543bef7a53f939e1dfff5

[]

no_license

mitchelljeff/modelf

1823c5001904c0beeee74c4394632256ae12d3f2

2e66a8f26e4d59a8e27c81a52e0e0e6d7ccab410

refs/heads/master

2021-01-11T18:02:00.436319

2017-01-20T16:45:00

79,473,771

2

0

null

UTF-8

Python

false

1,517

py

import tensorflow as tf def random_truncated_exponential(w, num_samples): """ Sample from truncated independent exponential distributions using weights w (or inverse exponential distribution for positive weight components). Args: w: a [num_rows, dim] matrix of `num_rows` weight vectors. num_samples: the number of samples to produce. Returns: x,p where `x` is a tensor [num_samples, num_rows, dim] of samples and `p` is a matrix [num_samples, num_rows] of the probabilities of each sample with respect to each row. """ eps = 0.000001 # w: [num_rows, dim] # returns: [num_samples, num_rows, dim] batch of samples drawn from a truncated exponential over [0,1] using w # as parameter shape = tf.concat(0, ((num_samples,), tf.shape(w))) # [num_samples, num_rows, dim] f1 = tf.minimum(w, -eps) f2 = tf.maximum(w, eps) is_neg = tf.to_float(tf.less(w, 0.0)) w_ = is_neg * f1 + (1.0 - is_neg) * f2 u = tf.random_uniform(shape, 0.0, 1.0) # [num_samples, num_rows, dim] z = (tf.exp(w_) - 1.0) # [num_rows, dim] x = tf.log(z * u + 1) / w_ # p = tf.reduce_prod(tf.exp(x * w_) * w_ / z,0) # TODO: replace with robuster version # p = tf.exp(tf.reduce_sum(tf.log(tf.exp(x * w_) * w_ / z),1)) # p = tf.exp(tf.reduce_sum(x * w_ + tf.log(w_) - tf.log(z),1)) log_p_components = x * w_ + tf.log(tf.abs(w_)) - tf.log(tf.abs(z)) p = tf.exp(tf.reduce_sum(log_p_components, 2)) return x, p

[ "sebastian.riedel@gmail.com" ]

sebastian.riedel@gmail.com

8d7a0fb342ea8e2c84a29ddb6e44354ef089308b

97f1a7a537865b3b5697100d2b94d5b526d6d1a4

/mysite/settings.py

573933c0f9f8b068833356345cdb018d24405e9b

[]

no_license

farhanulsheikh/Blog-App

f6b39e48d02f83df0792dd77764d40dbe7c25165

aca10cf9b6ca7eba291cb918492f7a40c582783c

refs/heads/main

2023-01-01T14:29:48.126782

2020-10-28T01:20:54

305,951,493

0

null

UTF-8

Python

false

3,306

py

""" Django settings for mysite project. Generated by 'django-admin startproject' using Django 3.1.2. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ import os from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '$j3j=7ucx*3pt4@%8xea4w=bqq6-uhu*mruu*gb#z2pvt7exgz' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'crispy_forms', 'users.apps.UsersConfig', 'blog.apps.BlogConfig', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'mysite.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'mysite.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' MEDIA_ROOT = os.path.join(BASE_DIR, 'media') MEDIA_URL='/media/' CRISPY_TEMPLATE_PACK ='bootstrap4' LOGIN_REDIRECT_URL ='blog-home' LOGIN_URL = 'login'

[ "farhan_i@live.ca" ]

farhan_i@live.ca

cda69b02b2d17bd7a70d342fa445f30e0f22a236

a5109ed60e25ddaa9cc2488df714f0f19a1b0620

/hello.py

699d5c38f793fd03829a7d17816bf9fb0c1605ff

[]

no_license

sukesuke0718/WebPythonProject01

ed6a6e408ef0467db2d4778db99b57a9580cab77

a08527e5f45b7cb4049bcad255f8245fbeed7a35

refs/heads/master

2020-03-31T04:29:27.119163

2018-10-07T05:09:04

151,907,699

0

null

UTF-8

Python

false

693

py

########################################### # PythonでWebアプリケーションを作ってみよう # Flaskを使ってみる ########################################### from flask import Flask myapp = Flask(__name__) @myapp.route('/') def index(): return ''' <h2>Flaskの練習ページです</h2> <p><a href="/hello">Helloページへ</a></p> ''' @myapp.route('/hello') def hello(): return 'こんにちは' @myapp.route('/item/<int:item_id>') def select_item(item_id): items = [('コーヒー',300),('紅茶',300),('ジュース',280),('牛乳',250),('ウーロン茶', 220)] item = items[item_id] return '{0}は{1}円です'.format(item[0],item[1])

[ "sukesuke0718@gmail.com" ]

sukesuke0718@gmail.com

4cd07865f55f378aa5da8e8aa8a16765655310c9

886fc24e518143d3602c78be10dfaead1068460b

/ios_notifications/__init__.py

cb159b8b4efbb1b3c13bf86519957f1425cc406a

[ "BSD-3-Clause" ]

permissive

tapanpandita/django-ios-notifications

e5558f1c3d7f0ed70afde2b01623005ac4f111ab

74b5d03dda770eb2fc2690b0698a2d33e4f29442

refs/heads/master

2021-01-16T22:35:37.808222

2013-02-18T03:49:59

null

0

null

UTF-8

Python

false

43

py

# -*- coding: utf-8 -*- VERSION = '0.1.3'

[ "stephenmuss@gmail.com" ]

stephenmuss@gmail.com

733d810f56a73cb57206d1b5840580439b6f728e

32a02fa05cdf63e7c72bcbc3e8b35ec7e2f33130

/toutiao_crawler/test_offline_script/filter_hyperlink_subjective.py

7627735acd73764bc1f68871e106f63ad1613ad0

[]

no_license

TTurn/haozhuo-script

f0893279d578ac853829017fcda6039345bb1eea

a4b3a927597b02ebc33065ca2a2c55e1673b0369

refs/heads/master

2020-12-02T21:24:21.616920

2017-07-16T05:16:29

2017-07-16T05:24:01

96,310,265

0

null

UTF-8

Python

false

3,859

py

#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2017/6/22 15:30 # @Author : Tuhailong # @Site : # @File : url_me_filter.py # @Software: PyCharm Community Edition import pymysql import re from bs4 import BeautifulSoup def get_sample(): print("获取样本") conn = pymysql.connect(host='116.62.106.69', port=3306, user='datag',passwd='yjkdatag',db='news_crawler',charset='utf8') cursor = conn.cursor() sql = "select id from toutiao_app_combine_unique_20170623" cursor.execute(sql) conn.commit() length = len(cursor.fetchall()) print("一共有{0}个样本".format(length)) sql = "select id, htmls from toutiao_app_combine_unique_20170623" cursor.execute(sql) conn.commit() results = cursor.fetchall() id_list = [result[0] for result in results] content_list = [BeautifulSoup(result[1], 'lxml').get_text() for result in results] html_list = [result[1] for result in results] cursor.close() conn.close() return id_list, content_list, html_list def me_filter(id_list,content_list): pattern1 = re.compile('我们') pattern2 = re.compile('我') del_me_id_list = [] for i in range(len(id_list)): id = id_list[i] content = content_list[i] match1 = pattern1.findall(content) num_we = len(match1) match2 = pattern2.findall(content) num_me = len(match2) if num_me - num_we >= 12: del_me_id_list.append(id) return del_me_id_list def delete_news(id_list): conn = pymysql.connect(host='116.62.106.69', port=3306, user='datag', passwd='yjkdatag', db='news_crawler', charset='utf8') cursor = conn.cursor() for id in id_list: sql = "delete from toutiao_app_combine_unique_20170623 where id = %s" cursor.execute(sql, (id,)) conn.commit() cursor.close() conn.close() def url_filter(id_list, content_list): # url识别的正则表达式 pattern = re.compile('[$|（|\[|①|②|③|：]?(https|http|www){1}(:|\.|[a-z]|\d|_|[A-Z]|/| |\?|%|=|&|#|;)+[$|）|\]|］]?') revise_link_id_list = [] revise_link_loc_list = [] revise_link_spec_list = [] for i in range(len(id_list)): id = id_list[i] content = content_list[i] match = re.search(pattern, content) if match: spec = match.group() revise_link_id_list.append(id) revise_link_loc_list.append(i) revise_link_spec_list.append(spec) return revise_link_id_list, revise_link_loc_list, revise_link_spec_list def sub_html(html, spec): html_clean = html.replace(spec, "") return html_clean def revise_news(revise_link_id_list, revise_link_loc_list, revise_link_spec_list, html_list): conn = pymysql.connect(host='116.62.106.69', port=3306, user='datag', passwd='yjkdatag', db='news_crawler', charset='utf8') cursor = conn.cursor() for i in range(len(revise_link_id_list)): id = revise_link_id_list[i] print("正在修正第{0}篇文章 {1}".format(i+1, id)) loc = revise_link_loc_list[i] html = html_list[loc] spec = revise_link_spec_list[i] html_clean = sub_html(html, spec) sql = "update toutiao_app_combine_unique_20170623 set htmls = %s where id = %s" cursor.execute(sql, (html_clean, id)) conn.commit() cursor.close() conn.close() if __name__ == "__main__": id_list, content_list, html_list = get_sample() del_me_id_list = me_filter(id_list, content_list) print("包含“我”的文章：{0}".format(del_me_id_list)) print("长度：{0}".format(len(del_me_id_list))) delete_news(del_me_id_list) revise_link_id_list, revise_link_loc_list, revise_link_spec_list = url_filter(id_list, content_list) print("包含链接的文章：{0}".format(revise_link_id_list)) print("长度：{0}".format(len(revise_link_id_list))) revise_news(revise_link_id_list, revise_link_loc_list, revise_link_spec_list, html_list) for i in range(len(revise_link_id_list)): id = revise_link_id_list[i] spec = revise_link_spec_list[i] print(str(id)+"-------------"+spec)

[ "tuhailong@hotmail.com" ]

tuhailong@hotmail.com

61f3a65a9aec4745f98829c8e888a7d436ff3a81

fb344544d2692df41c4186e63cc5b316a47f30ca

/pycoinone/response/v2.py

c945f22de7ba644dc9892dedecdc8e65c36b5174

[]

no_license

jaehong-park-net/python-coinone

5aecf101ec1bfe5354292fb781dbcd2c93bb6fe6

94a9cdb14f5c8b3b654d6275b3f834a4903b40c9

refs/heads/master

2020-08-31T02:03:01.370617

2020-01-02T06:14:22

218,552,972

1

0

null

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Python

false

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from pycoinone.response import ( coinone_api_response, UserInfoResponse, BalanceResponse, LimitOrderResponse, PendingOrdersResponse, CompleteOrdersResponse ) @coinone_api_response class UserInfoResponseV2(UserInfoResponse): """ { "result": "success", "errorCode": "0", "userInfo": { "virtualAccountInfo": { "depositor": "John", "accountNumber": "0123456789", "bankName": "bankName" }, "mobileInfo": { "userName": "John", "phoneNumber": "0123456789", "phoneCorp": "1", "isAuthenticated": "true" }, "bankInfo": { "depositor": "John", "bankCode": "20", "accountNumber": "0123456789", "isAuthenticated": "true" }, "emailInfo": { "isAuthenticated": "true", "email": "john@coinone.com" }, "securityLevel": "4", "feeRate": { "btc": { "maker": "0.001", "taker": "0.001" }, "bch": { "maker": "0.001", "taker": "0.001" }, "eth": { "maker": "0.001", "taker": "0.001" } } } } """ pass @coinone_api_response class BalanceResponseV2(BalanceResponse): """ { "result": "success", "errorCode": "0", "normalWallets": [ { "balance": "6.1151", "label": "First Wallet" }, { "balance": "6.9448", "label": "Second Wallet" } ], "btc": { "avail": "344.33703699", "balance": "344.33703699" }, "bch": { "avail": "1.00001234", "balance": "1.00001234" }, "eth": { "avail": "1.00001234", "balance": "1.00001234" }, "krw": { "avail": "6901425", "balance": "6901430" } } """ pass @coinone_api_response class LimitOrderResponseV2(LimitOrderResponse): """ { "result": "success", "errorCode": "0", "orderId": "8a82c561-40b4-4cb3-9bc0-9ac9ffc1d63b" } """ pass @coinone_api_response class PendingOrdersResponseV2(PendingOrdersResponse): """ { "result": "success", "errorCode": "0", "limitOrders": [ { "index": "0", "orderId": "68665943-1eb5-4e4b-9d76-845fc54f5489", "timestamp": "1449037367", "price": "444000.0", "qty": "0.3456", "type": "ask", "feeRate": "-0.0015" } ] } """ pass @coinone_api_response class CompleteOrdersResponseV2(CompleteOrdersResponse): """ { "result": "success", "errorCode": "0", "completeOrders": [ { "timestamp": "1416561032", "price": "419000.0", "type": "bid", "qty": "0.001", "feeRate": "-0.0015", "fee": "-0.0000015", "orderId": "E84A1AC2-8088-4FA0-B093-A3BCDB9B3C85" } ] } """ pass

[ "jaehong.park.net@gmail.com" ]

jaehong.park.net@gmail.com

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/23. Merge k Sorted Lists.py

903c4f7fac86aa55ef59c34de0b4c14028d3a951

[]

no_license

liuxiaonan1990/leetcode

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refs/heads/master

2020-12-14T08:51:45.540202

2017-10-12T03:19:10

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# Definition for singly-linked list. # class ListNode(object): # def __init__(self, x): # self.val = x # self.next = None class Solution(object): def merge2Lists(self, l1, l2): head = ListNode(0) p = ListNode(0) head = p while l1 != None and l2 != None: if l1.val < l2.val: p.next = l1 p = p.next l1 = l1.next else: p.next = l2 p = p.next l2 = l2.next while l1 != None: p.next = l1 p = p.next l1 = l1.next while l2 != None: p.next = l2 p = p.next l2 = l2.next return head.next def mergeKLists_old(self, lists): """ :type lists: List[ListNode] :rtype: ListNode """ if len(lists) == 0: return lists if len(lists) == 1: return lists[0] head = lists[0] for i in range(1, len(lists)): head = self.merge2Lists(head, lists[i]) return head def func(self, lists): ret = [] if len(lists) < 2: return lists i = 0 while i < len(lists): if i + 1 < len(lists): l = self.merge2Lists(lists[i], lists[i + 1]) ret.append(l) i += 2 else: ret.append(lists[i]) break return ret def mergeKLists(self, lists): """ :type lists: List[ListNode] :rtype: ListNode """ ret = lists while len(ret) > 1: ret = self.func(ret) if len(ret) == 0: return ret if len(ret) == 1: return ret[0] return ret

[ "liuxiaonan@100tal.com" ]

liuxiaonan@100tal.com

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/pysh/tests/test_examples/test_posix.py

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no_license

caervs/pysh

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2021-01-10T12:56:50.550520

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2016-04-19T04:16:06

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import io import unittest from pysh.examples import posix class PosixTestCase(unittest.TestCase): pass class GrepWorks(PosixTestCase): def test_matched_output(self): stdin = io.StringIO("Hello\nWorld!") stdout = io.StringIO() posix.grep("Wo")(stdin=stdin, stdout=stdout) assert stdout.getvalue() == "World!\n"

[ "rdabrams@gmail.com" ]

rdabrams@gmail.com

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/routeme/google/models.py

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[]

no_license

COMU/routeme

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refs/heads/master

2021-05-26T12:49:40.162932

2012-03-07T11:03:41

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#!/usr/bin/python # -*- coding: utf-8 -*- from django.contrib.auth.models import User from django.db import models from routeme.auth.models import LoginProfile from routeme.google.backend import GoogleBackend class GoogleProfile(LoginProfile): email = models.CharField(max_length=100) firstname = models.CharField(max_length=100) lastname = models.CharField(max_length=100) def getLoginBackend(self, request): return GoogleBackend(self, request) def __unicode__(self): return self.email

[ "demircan.serhat@gmail.com" ]

demircan.serhat@gmail.com

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/studybuddy/urls.py

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[]

no_license

rafsan99/studdy-buddy

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refs/heads/main

2023-08-21T20:49:51.324298

2021-10-10T11:48:55

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"""studybuddy URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path urlpatterns = [ path('admin/', admin.site.urls), ]

[ "rafsan.redwan69@gmail.com" ]

rafsan.redwan69@gmail.com

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/face.py

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[]

no_license

mrabhi05/FaceDetection

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refs/heads/main

2022-12-18T18:05:34.537288

2020-10-02T18:31:03

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py

import cv2 # Loading pre-trained Data trained_face_data = cv2.CascadeClassifier('D:\Abhi\Study Zone\Projects\Face Detector\haarcascade_frontalface_default.xml') # Choose an image to detect faces in #img = cv2.imread('sop.png') # To capture video from webcam webcam = cv2.VideoCapture(0) # Iterate for video while True: # Read the current frame successful_capture, frame = webcam.read() # #cv2.imshow('Face Detectiom', frame) #cv2.waitKey() # Convert to Greyscale grayscale_img = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) # Detect Faces face_coordinates = trained_face_data.detectMultiScale(grayscale_img) # Draw Rect around the face for (x,y,w,h) in face_coordinates: cv2.rectangle(frame, (x,y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow('Face Detectiom', frame) key = cv2.waitKey(1) # Stop when Q is pressed if key==81 or key==113: break #Relaease the Webcam webcam.release()

[ "noreply@github.com" ]

mrabhi05.noreply@github.com

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/Punto_1.py

2a1d6e89278e8c058a3f303b8c90a176a31c26e1

[]

no_license

Magnodev12/Prueba-Tecnica

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refs/heads/master

2023-07-14T14:14:15.178745

2021-08-22T22:48:49

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py

n=5 def cruz(n): resultado="" if n == 0: print("ERROR") else: for i in range(n): for j in range(n): resultado += "X" if (j==i or j==n-i-1) else "_" resultado += "\n" return resultado print(cruz(n))

[ "noreply@github.com" ]

Magnodev12.noreply@github.com

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/stream/api/subscription.py

f989747db84b3629723cdb4b74ad14d5737da4b2

[]

no_license

ethanray123/Channelfix-Internship

5fba70b3d5e874e79176c84b05e3ae426d651197

5735223344db9f6c86054355e723d3b1795cd94c

refs/heads/master

2020-03-17T13:36:07.869433

2018-06-15T11:30:15

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2018-06-15T11:30:16

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py

from django.views import generic from stream.models import Subscription from django.http import Http404, JsonResponse class SubscriptionAPI(generic.View): model = Subscription def get(self, request, *args, **kwargs): if not request.is_ajax(): raise Http404 # Create queryset. queryset = self.model.objects.filter( subscriber__pk=request.GET['subsciber__pk']) # Get offset. queryset = queryset[int(request.GET['start']):int(request.GET['end'])] # Generate response. response = [] for obj in queryset: data = {} data['id'] = obj.pk data['subscriber'] = { 'id': obj.subscriber.pk, 'username': obj.subscriber.username } data['publisher'] = { 'id': obj.publisher.pk, 'username': obj.publisher.username } # List all fields here response.append(data) return JsonResponse( response, content_type="application/json", safe=False)

[ "rendave.lecciones3@gmail.com" ]

rendave.lecciones3@gmail.com

752dfa2c8ef5b98706578a165c6fd4679eb50c42

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/Scripts_confg_camera/cap_date_timelapse.py

a23a4cb741cab833f6cce86a7434b79a721ceac3

[]

no_license

Vihelisa/PiCameraTests

b7909d957c834e41853bdc7808a190dad06abd5a

3fa88f24acf587aa306342389a0f413c94bebd43

refs/heads/main

2023-06-30T19:16:42.007947

2021-08-09T16:37:25

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727

py

from time import sleep from picamera import PiCamera from datetime import datetime, timedelta ''' Capitura imagens e salva com o tempo entre as capturas de acordo com a hora da máquina local salvando o nome dos arquivos com a data em que foram tiradas as fotos. ''' #Não deu certo nos testes, ver o que é def wait(): # Calculate the delay to the start of the next hour next_hour = (datetime.now() + timedelta(hour=1)).replace( minute=0, second=0, microsecond=0) delay = (next_hour - datetime.now()).seconds sleep(delay) camera = PiCamera() camera.start_preview() wait() for filename in camera.capture_continuous('img{timestamp:%Y-%m-%d-%H-%M}.jpg'): print('Captured %s' % filename) wait()

[ "72274329+Vihelisa@users.noreply.github.com" ]

72274329+Vihelisa@users.noreply.github.com

e31d555c76b6e861f608c827fd4c72afa496f6af

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/oldcontrib/media/image/admin.py

fadf2f181224895ed2c5ba6f1edcd8e89fe26a39

[ "BSD-3-Clause" ]

permissive

servee/django-servee-oldcontrib

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refs/heads/master

2021-01-18T22:54:25.062212

2016-04-18T20:30:43

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py

from django.contrib import admin from oldcontrib.media.image.models import Image class ImageAdmin(admin.ModelAdmin): list_display = ('title',) admin.site.register(Image, ImageAdmin)

[ "issac.kelly@gmail.com" ]

issac.kelly@gmail.com

e9ec1e470a754514330b03be6a7cb0561bc86464

5e83d62064ea4fd954820960306fb06cc8f0f391

/products/serializers.py

365966d6816dda4260eea788289ea5d68d1c05b9

[]

no_license

bharatkumarrathod/cfe_ecommerce2_RESTapi

eff2fad0cbff7cb3def2c13de282b085aba7291d

a081cdbf10c1fbde58e128b9c9b287443c726071

refs/heads/master

2020-12-25T21:43:44.166109

2015-10-27T21:04:19

null

0

null

UTF-8

Python

false

2,598

py

from rest_framework import serializers from .models import Category, Product, Variation class VariationSerializer(serializers.ModelSerializer): class Meta: model = Variation fields = [ 'id', 'title', 'price', ] class ProductSerializer(serializers.ModelSerializer): url = serializers.HyperlinkedIdentityField(view_name='product_detail_api') variation_set = VariationSerializer(many=True, read_only=True) image = serializers.SerializerMethodField() class Meta: model = Product fields = [ 'url', 'id', 'title', 'image', 'variation_set', ] def get_image(self, obj): try: return obj.productimage_set.first().image.url except: return None class ProductDetailSerializer(serializers.ModelSerializer): variation_set = VariationSerializer(many=True, read_only=True) image = serializers.SerializerMethodField() class Meta: model = Product fields = [ 'id', 'title', 'description', 'price', 'image', 'variation_set', ] def get_image(self, obj): return obj.productimage_set.first().image.url class ProductDetailUpdateSerializer(serializers.ModelSerializer): variation_set = VariationSerializer(many=True, read_only=True) image = serializers.SerializerMethodField() class Meta: model = Product fields = [ 'id', 'title', 'description', 'price', 'image', 'variation_set', ] def get_image(self, obj): try: return obj.productimage_set.first().image.url except: return None def create(self, validated_data): title = validated_data['title'] Product.objects.get(title=title) product = Product.objects.create(**validated_data) return product def update(self, instance, validated_data): instance.title = validated_data["title"] instance.save() return instance class CategorySerializer(serializers.ModelSerializer): url = serializers.HyperlinkedIdentityField(view_name='category_detail_api') product_set = ProductSerializer(many=True) class Meta: model = Category fields = [ 'url', 'id', 'title', 'description', 'product_set', # 'default_category', ]

[ "carlofusiello@gmail.com" ]

carlofusiello@gmail.com

f4c82d74b5f27744442849fdd0b7e0378486fa25

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/backend/uncle_park/spot/admin.py

0cc46629cb3a7b2e237d938a7fe5e002ae300d70

[]

no_license

Kashish-2001/uncle-park

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refs/heads/main

2023-03-19T00:09:19.721001

2021-03-12T00:49:25

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py

from django.contrib import admin from .models import ParkingSpot admin.site.register(ParkingSpot)

[ "kashish.agrawal1907@gmail.com" ]

kashish.agrawal1907@gmail.com

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[ "MIT" ]

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ArtOfCode-/stackl

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refs/heads/master

2020-04-03T00:48:50.545277

2018-10-28T13:19:06

154,909,739

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UTF-8

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import sys import threading from logging import StreamHandler import logging import os.path import re import pickle import json import requests from bs4 import BeautifulSoup from stackl.errors import LoginError, InvalidOperationError from stackl.models import Room, Message from stackl.events import Event from stackl.wsclient import WSClient VERSION = '0.0.6b0' class ChatClient: def __init__(self, **kwargs): """ Initialise a new ChatClient object. Valid kwargs are: :param kwargs['default_server']: one of stackexchange.com, stackoverflow.com, or meta.stackexchange.com, depending on where you want the client to default to. :param kwargs['log_location']: a logging.Handler object (e.g. StreamHandler or FileHandler) specifying a log location :param kwargs['log_level']: an integer, usually one of the logging.* constants such as logging.DEBUG, specifying the minimum effective log level """ self.default_server = kwargs.get('default_server') or 'stackexchange.com' log_location = kwargs.get('log_location') or StreamHandler(stream=sys.stdout) log_level = kwargs.get('log_level') or logging.DEBUG self.logger = logging.getLogger('stackl') self.logger.setLevel(log_level) self.logger.addHandler(log_location) self.session = requests.Session() self.session.headers.update({'User-Agent': 'stackl'}) self.rooms = [] self._handlers = [] self._sockets = {} self._fkeys = {} self._authed_servers = [] self._ids = {} def login(self, email, password, **kwargs): """ Log the client instance into Stack Exchange. Will default to logging in using cached cookies, if provided, and fall back to logging in with credentials. :param email: the email of the Stack Exchange account you want to log in as :param password: the corresponding account password :param kwargs: pass "cookie_file" to specify where cached cookies are located (must be a pickle file) :return: the logged-in requests.Session if successful """ logged_in = False if 'cookie_file' in kwargs and os.path.exists(kwargs['cookie_file']): with open(kwargs['cookie_file'], 'rb') as f: self.session.cookies.update(pickle.load(f)) logged_in = self._verify_login(kwargs.get('servers') or [self.default_server]) if logged_in is False: self.logger.warn('Cookie login failed. Falling back to credential login.') for n, v in self.session.cookies.items(): self.logger.info('{}: {}'.format(n, v)) if not logged_in: logged_in = self._credential_authenticate(email, password, kwargs.get('servers') or [self.default_server]) if not logged_in: self.logger.critical('All login methods failed. Cannot log in to SE.') raise LoginError('All available login methods failed.') else: self._authed_servers = kwargs.get('servers') or [self.default_server] return self.session def id(self, server): """ Get the ID of the logged-in user on the specified server. :param server: the chat server from which to return a user ID :return: Integer """ return self._ids[server] def join(self, room_id, server): """ Join a room and start processing events from it. :param room_id: the ID of the room you wish to join :param server: the server on which the room is hosted :return: None """ if server not in self._authed_servers: raise InvalidOperationError('Cannot join a room on a host we haven\'t authenticated to!') room = Room(server, room_id=room_id) self.rooms.append(room) self.session.get("https://chat.{}/rooms/{}".format(server, room_id), data={'fkey': self._fkeys[server]}) events = self.session.post("https://chat.{}/chats/{}/events".format(server, room_id), data={ 'fkey': self._fkeys[server], 'since': 0, 'mode': 'Messages', 'msgCount': 100 }).json()['events'] event_data = [Event(x, server, self) for x in events] room.add_events(event_data) ws_auth_data = self.session.post("https://chat.{}/ws-auth".format(server), data={ 'fkey': self._fkeys[server], 'roomid': room_id }).json() cookie_string = '' for cookie in self.session.cookies: if cookie.domain == 'chat.{}'.format(server) or cookie.domain == '.{}'.format(server): cookie_string += '{}={};'.format(cookie.name, cookie.value) last_event_time = sorted(events, key=lambda x: x['time_stamp'])[-1]['time_stamp'] ws_uri = '{}?l={}'.format(ws_auth_data['url'], last_event_time) if server in self._sockets and self._sockets[server].open: self._sockets[server].close() self._sockets[server] = WSClient(ws_uri, cookie_string, server, self._on_message) def send(self, content, room=None, room_id=None, server=None): """ Send a message to the specified room. :param content: the contents of the message you wish to send :param room: the ID of the room you wish to send it to :param server: the server on which the room is hosted :return: None """ if (room is None and room_id is None) or server is None: raise InvalidOperationError('Cannot send a message to a non-existent room or a non-existent server.') if "\n" not in content and len(content) > 500: raise ValueError('Single-line messages must be a maximum of 500 chars long.') room_id = room_id or room.id for i in range(1, 3): response = self.session.post('https://chat.{}/chats/{}/messages/new'.format(server, room_id), data={ 'fkey': self._fkeys[server], 'text': content }) if response.status_code == 200: break elif i == 3: raise RuntimeError('Failed to send message. No, I don\'t know why.') message_data = response.json() parent_match = re.match(r'^:(\d+) ', content) message = Message(server, message_id=message_data['id'], timestamp=message_data['time'], content=content, room_id=room_id, user_id=self._ids[server], parent_id=None if parent_match is None else parent_match[1]) return message def add_handler(self, handler, **kwargs): """ Add an event handler for messages received from the chat websocket. :param handler: the handler method to call for each received event :return: None """ self._handlers.append([handler, kwargs]) def _credential_authenticate(self, email, password, servers): """ Authenticate with Stack Exchange using provided credentials. :param email: the email of the Stack Exchange account you want to log in as :param password: the corresponding account password :return: a success boolean """ fkey_page = self.session.get("https://stackapps.com/users/login") fkey_soup = BeautifulSoup(fkey_page.text, 'html.parser') fkey_input = fkey_soup.select('input[name="fkey"]') if len(fkey_input) <= 0: raise LoginError('Failed to get fkey from StackApps. Wat?') fkey = fkey_input[0].get('value') login_post = self.session.post("https://stackapps.com/users/login", data={ 'email': email, 'password': password, 'fkey': fkey }) login_soup = BeautifulSoup(login_post.text, 'html.parser') iframes = login_soup.find_all('iframe') if any(['captcha' in x.get('src') for x in iframes]): raise LoginError('Login triggered a CAPTCHA - cannot proceed.') tokens = self.session.post("https://stackapps.com/users/login/universal/request", headers={ 'Referer': 'https://stackapps.com/' }).json() for site_token in tokens: self.session.get("https://{}/users/login/universal.gif".format(site_token['Host']), data={ 'authToken': site_token['Token'], 'nonce': site_token['Nonce'] }, headers={ 'Referer': 'https://stackapps.com/' }) return self._verify_login(servers) def _verify_login(self, servers): """ Verifies that login with cached cookies has been successful for all the given chat servers. :param servers: a list of servers to check for successful logins :return: a success boolean """ statuses = [] for server in servers: chat_home = self.session.get("https://chat.{}/".format(server)) chat_soup = BeautifulSoup(chat_home.text, 'html.parser') self._fkeys[server] = chat_soup.select('input[name="fkey"]')[0].get('value') topbar_links = chat_soup.select('.topbar-links span.topbar-menu-links a') if len(topbar_links) <= 0: raise LoginError('Unable to verify login because page layout wasn\'t as expected. Wat?') elif topbar_links[0].text == 'log in': raise LoginError('Failed to log in to {}'.format(server)) else: statuses.append(True) self._ids[server] = int(re.match(r'/users/(\d+)', topbar_links[0].get('href'))[1]) return len(statuses) == 3 and all(statuses) def _on_message(self, data, server): """ Internal. Handler passed to WSClient to handle incoming websocket data before it reaches the client application. :param data: the raw text data received from the websocket :param server: the server on which the message was received :return: None """ try: data = json.loads(data) except json.JSONDecodeError: self.logger.warn('Received non-JSON data from WS. Bail!') return events = [v['e'] for k, v in data.items() if k[0] == 'r' and 'e' in v] events = [x for s in events for x in s] for event_data in events: event = Event(event_data, server, self) handlers = [x[0] for x in self._handlers if all([k in event_data and event_data[k] == v for k, v in x[1].items()])] for handler in handlers: def run_handler(): handler(event, server) threading.Thread(name='handler_runner', target=run_handler).start() def _chat_post_fkeyed(self, server, path, data=None): """ Sends a POST request to chat to perform an action, automatically inserting the chat server and fkey. :param server: the server on which to perform the action :param path: the host-less path to send the request to :return: requests.Response """ req_data = {'fkey': self._fkeys[server]} if data is not None: req_data.update(data) return self.session.post('https://chat.{}{}'.format(server, path), data=req_data) def get_message(self, message_id, server): soup = BeautifulSoup(self.session.get('https://chat.{}/transcript/message/{}'.format(server, message_id)).text, 'html.parser') message = soup.select('#message-{}'.format(message_id)) user_id = re.match(r'/users/(\d+)', message.parent.parent.select('.signature .username a')[0].get('href'))[1] room_id = re.match(r'/rooms/(\d+)', soup.select('.room-name a')[0].get('href'))[1] content = self.session.get('https://chat.{}/message/{}?plain=true'.format(server, message_id)).text return Message(server, message_id=message_id, room_id=room_id, user_id=user_id, content=content) def get_message_source(self, message_id, server): return self.session.get('https://chat.{}/message/{}?plain=true'.format(server, message_id)).text def toggle_star(self, message_id, server): self._chat_post_fkeyed(server, '/messages/{}/star'.format(message_id)) def star_count(self, message_id, server): star_soup = BeautifulSoup(self.session.get('https://chat.{}/transcript/message/{}'.format(server, message_id)), 'html.parser') counter = star_soup.select('#message-{} .flash .star .times'.format(message_id)) if len(counter) > 0: return int(counter[0].text) else: return 0 def star(self, message_id, server): if not self.has_starred(message_id, server): self.toggle_star(message_id, server) def unstar(self, message_id, server): if self.has_starred(message_id, server): self.toggle_star(message_id, server) def has_starred(self, message_id, server): star_soup = BeautifulSoup(self.session.get('https://chat.{}/transcript/message/{}' .format(server, message_id)).text, 'html.parser') counter = star_soup.select('#message-{} .flash .stars'.format(message_id)) return len(counter) > 0 and 'user-star' in counter[0].get('class') def cancel_stars(self, message_id, server): self._chat_post_fkeyed(server, '/messages/{}/unstar'.format(message_id)) def delete(self, message_id, server): self._chat_post_fkeyed(server, '/messages/{}/delete'.format(message_id)) def edit(self, message_id, server, new_content): self._chat_post_fkeyed(server, '/messages/{}'.format(message_id), data={'text': new_content}) def toggle_pin(self, message_id, server): self._chat_post_fkeyed(server, '/messages/{}/owner-star'.format(message_id)) def pin(self, message_id, server): if not self.is_pinned(message_id, server): self.toggle_pin(message_id, server) def unpin(self, message_id, server): if self.is_pinned(message_id, server): self.toggle_pin(message_id, server) def is_pinned(self, message_id, server): star_soup = BeautifulSoup(self.session.get('https://chat.{}/transcript/message/{}' .format(server, message_id)).text, 'html.parser') counter = star_soup.select('#message-{} .flash .stars'.format(message_id)) return len(counter) > 0 and 'owner-star' in counter[0].get('class')

[ "hello@artofcode.co.uk" ]

hello@artofcode.co.uk

41e5021c0e1be2fbcbc2a62efcefce360bddb194

da3a0f4a31b31f8c9d4141994f55437fc4dd93f0

/todo/settings copy.py

8b3a85bb6c7fffbb261cceb09b6910058cd7b9cb

[]

no_license

zackington/todo_python

b9a39e643a2b280639454dfb9e2542561f97c767

f387ee4b52816d4e1a946ac1654ddf4e4da82f04

refs/heads/main

2023-02-23T05:48:12.302105

2021-01-29T15:28:56

330,905,827

0

null

UTF-8

Python

false

3,068

py

""" Django settings for todo project. Generated by 'django-admin startproject' using Django 3.1.4. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 's$_u$u+$695+&w_-yb&$rd!eirhva8$!2y)4yc+og&*h=c%2j@' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'main', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'todo.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'todo.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/'

[ "zagatol96@gmail.com" ]

zagatol96@gmail.com

894aef2056395bebd4c1c73efa7b7f804b4f5f01

284d20180008b09489a48d57180ac0037c09edfa

/drinks/mydrinks/views.py

fdacb0b5111bfa980705f0032d195b845192ed8d

[]

no_license

abki/django-drinks

ddbd97685ff84f9d2ad9b7a71275b16d5ca63295

827f4aa3365f2fbf507891eb43f6d9d78981ea6f

refs/heads/master

2020-04-22T21:03:10.757767

2009-05-20T19:59:10

205,957

0

1

null

UTF-8

Python

false

765

py

from django import forms from mydrinks.models import DrinkForm, CommentForm class DrinkForm(forms.Form): name = forms.CharField(max_length=254) content = forms.TextField() rating = forms.EmailField() cc_myself = forms.BooleanField(required=False) def addDrink(request): if request.method == 'POST': # If the form has been submitted... form = ContactForm(request.POST) # A form bound to the POST data if form.is_valid(): # All validation rules pass # Process the data in form.cleaned_data # ... return HttpResponseRedirect('/thanks/') # Redirect after POST else: form = ContactForm() # An unbound form return render_to_response('contact.html', { 'form': form, })

[ "boubekki@enseirb.fr" ]

boubekki@enseirb.fr

de42c53734da3da9116fffe9e3e19452e35b07cb

09ea0b61ea2df531468e32877ad0e4883a6b812b

/csv_converter.py

b38af52dbc89e3b48d3dd2a263125e585c5dac24

[]

no_license

matthewj301/lastpass_csv_to_dashlane_converter

d342d9144e11b84fdafc16b556f0654ed86053eb

1919ffca754b2850fe6c1f78a8bbfa237326f8e0

refs/heads/master

2023-06-19T18:02:40.824618

2021-07-22T01:21:52

388,290,328

0

null

UTF-8

Python

false

1,463

py

import csv from pathlib import Path data_dir = Path(__file__).resolve().parent.joinpath('data') password_csv = data_dir.joinpath('lastpass.csv') fixed_csv = data_dir.joinpath('dashlane.csv') if not fixed_csv.exists(): fixed_csv.touch() site_name_to_proper_url_name = {'steam': 'store.steampowered'} def fix_bad_url(_site_name, _url): http_type = _url.split(':')[0] if _site_name: formatted_site_name = _site_name.replace("'", '').replace(' ', '').lower() formatted_site_name = fix_edgecase_site_name(formatted_site_name) else: formatted_site_name = '' fixed_url = f'{http_type}://www.{formatted_site_name}.com' return fixed_url def fix_edgecase_site_name(_site_name): if _site_name.lower() in site_name_to_proper_url_name: _site_name = site_name_to_proper_url_name[_site_name] return _site_name if __name__ == '__main__': with open(password_csv, 'r') as pw_csv: with open(fixed_csv, 'w') as fixed_csv: csv_writer = csv.writer(fixed_csv) csv_reader = csv.reader(pw_csv, delimiter=',') for row in csv_reader: username = row[1] password = row[2] url = row[0] site_name = row[5] if url == 'https://' or url == 'http://' or url is None: url = fix_bad_url(site_name, url) csv_writer.writerow([site_name, url, username, password])

[ "matthewj301@gmail.com" ]

matthewj301@gmail.com

b8075d05508ad9f1869fce993a34b58e3a860165

cde9143ed2535c147a6aafc1ef9c147d48668e9c

/Payload/ADLC/ShapeCharacterization/PythonScripts/Matching-2.py

97b4903c24e53179042f7f6b57d2b74675063ecd

[]

no_license

Gowabby/Payload

2eafdc0d1679923592aeed92a4288ecc68f0892b

4e20a294afd07d99c1475f1590b25bd2ead1f376

refs/heads/master

2021-01-25T11:15:06.086970

2017-06-16T07:32:14

null

0

null

UTF-8

Python

false

5,455

py

################################################### ##Name: Andrew Olguin ## ##Date: 1-1-15 ## ##Functionality: This code is meant to match objects in an image to a objects in training set. ##it uses FLANN and surf features to match two images together. This code is still ##under development. ##See this link for documentation: http://bit.ly/1tH9a6P ## ##Version: 1 ## ##Changes log: none ################################################### import numpy as np import cv2 from matplotlib import pyplot as plt SZ=20 bin_n = 16 # Number of bins svm_params = dict( kernel_type = cv2.SVM_LINEAR, svm_type = cv2.SVM_C_SVC, C=2.67, gamma=5.383 ) affine_flags = cv2.WARP_INVERSE_MAP|cv2.INTER_LINEAR def nothing(x): pass def Sobel(gray): scale = 1 delta = 0 ddepth = cv2.CV_16S # Gradient-X grad_x = cv2.Sobel(gray,ddepth,1,0,ksize = 3, scale = scale, delta = delta,borderType = cv2.BORDER_DEFAULT) #grad_x = cv2.Scharr(gray,ddepth,1,0) # Gradient-Y grad_y = cv2.Sobel(gray,ddepth,0,1,ksize = 3, scale = scale, delta = delta, borderType = cv2.BORDER_DEFAULT) #grad_y = cv2.Scharr(gray,ddepth,0,1) # converting back to uint8 abs_grad_x = cv2.convertScaleAbs(grad_x) abs_grad_y = cv2.convertScaleAbs(grad_y) dst = cv2.addWeighted(abs_grad_x,5,abs_grad_y,5,0) return dst def deskew(img): m = cv2.moments(img) if abs(m['mu02']) < 1e-2: return img.copy() skew = m['mu11']/m['mu02'] M = np.float32([[1, skew, -0.5*SZ*skew], [0, 1, 0]]) img = cv2.warpAffine(img,M,(SZ, SZ),flags=affine_flags) return img def Clust(img, K): Z = img.reshape((-1,3)) # convert to np.float32 Z = np.float32(Z) # define criteria, number of clusters(K) and apply kmeans() criteria = (cv2.TERM_CRITERIA_EPS + cv2.TERM_CRITERIA_MAX_ITER, 10, 1.0) ret,label,center=cv2.kmeans(Z,K,None,criteria,10,cv2.KMEANS_RANDOM_CENTERS) #ret, label, center = cv2.kmeans(Z, K, criteria, 10, 0) # Now convert back into uint8, and make original image center = np.uint8(center) res = center[label.flatten()] res2 = res.reshape((img.shape)) return res2 def hog(img): gx = cv2.Sobel(img, cv2.CV_32F, 1, 0) gy = cv2.Sobel(img, cv2.CV_32F, 0, 1) mag, ang = cv2.cartToPolar(gx, gy) # quantizing binvalues in (0...16) bins = np.int32(bin_n*ang/(2*np.pi)) # Divide to 4 sub-squares bin_cells = bins[:10,:10], bins[10:,:10], bins[:10,10:], bins[10:,10:] mag_cells = mag[:10,:10], mag[10:,:10], mag[:10,10:], mag[10:,10:] hists = [np.bincount(b.ravel(), m.ravel(), bin_n) for b, m in zip(bin_cells, mag_cells)] hist = np.hstack(hists) return hist #this function is meant to detect surf features in an image and uses an image pyramid to upscale an image #it uses the image preprocessing methods show in the meanClust-1 script #Parameters: #K= number of colors in the clustered output #lb/ub= the bounds for the canny edge detection #surfVal= surf feature threshold, higher the number the less feautures #img- input image def SURFINPYR(img, K, lb, ub, srfVal): deskew(img) img1 = Clust(img, K) surf = cv2.SURF(srfVal) img1 = cv2.cvtColor(img1, cv2.COLOR_RGB2LUV) uv_img = img[:,:,1]+ img[:,:,2] img2 = cv2.pyrUp(uv_img) img2 = cv2.pyrUp(img2) grad = Sobel(img2) edges = cv2.Canny(grad,lb,ub) kp, des = surf.detectAndCompute(edges, None) return kp, des #this function is meant to detect surf features in an image #it uses the image preprocessing methods show in the meanClust-1 script #Parameters: #K= number of colors in the clustered output #lb/ub= the bounds for the canny edge detection #surfVal= surf feature threshold, higher the number the less feautures #img- input image def SURFIN(img, K, lb, ub, srfVal): img = Clust(img, K) surf = cv2.SURF(srfVal) img = cv2.cvtColor(img, cv2.COLOR_RGB2LUV) uv_img = img[:,:,1]+ img[:,:,2] grad = Sobel(img2) edges = cv2.Canny(grad,lb,ub) kp, des = surf.detectAndCompute(edges, None) return kp, des ########################################################################################### test = cv2.imread('T.png',0) train1 = cv2.imread('F.png',0) train2 = cv2.imread('G.png',0) #cells = [np.hsplit(row,100) for row in np.vsplit(img,50)] # First half is trainData, remaining is testData #train_cells = [ i[:50] for i in cells ] #test_cells = [ i[50:] for i in cells] ###### Now training ######################## train1 = hog(train1) train2 = hog(train2) #deskewed = [map(deskew,row) for row in train_cells] #hogdata = [map(hog,row) for row in deskewed] trainData1 = np.float32(train1).reshape(-1,64) trainData2 = np.float32(train2).reshape(-1,64) responses = np.float32(np.repeat(np.arange(2),1)[:,np.newaxis]) trainData = np.vstack((trainData1, trainData2)) print trainData.shape print responses.shape svm = cv2.SVM() svm.train(trainData,responses, params=svm_params) svm.save('svm_data.dat') ###### Now testing ######################## #deskewed = [map(deskew,row) for row in test_cells] #hogdata = [map(hog,row) for row in deskewed] hogdata = hog(test) testData = np.float32(hogdata).reshape(-1,bin_n*4) result = svm.predict_all(testData) print result ####### Check Accuracy ######################## mask = result==responses correct = np.count_nonzero(mask) print correct*100.0/result.size

[ "andrew.olguin556@gmail.com" ]

andrew.olguin556@gmail.com

f22c019ebbea833c2a0e0693688c327d115e88f5

9e988c0dfbea15cd23a3de860cb0c88c3dcdbd97

/sdBs/AllRun/kuv_02570-0126/sdB_KUV_02570-0126_coadd.py

c4cb9b302dad383bd2a7935c0b65bc65388dc997

[]

no_license

tboudreaux/SummerSTScICode

73b2e5839b10c0bf733808f4316d34be91c5a3bd

4dd1ffbb09e0a599257d21872f9d62b5420028b0

refs/heads/master

2021-01-20T18:07:44.723496

2016-08-08T16:49:53

65,221,159

0

null

UTF-8

Python

false

441

py

from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[44.897583,-1.235028], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_KUV_02570-0126/sdB_KUV_02570-0126_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sdB_KUV_02570-0126/sdB_KUV_02570-0126_count_coadd.fits", overwrite=True, verbose=3) if __name__ == "__main__": main()

[ "thomas@boudreauxmail.com" ]

thomas@boudreauxmail.com

92cf58834da067af6b6f57cf1bb9a5d5f0b835c7

a85f4a09b01facb31f2c83005eecf1a7f1a1966b

/app/views.py

70a5ae46e4ca1d84902aaddee6c5e43dd2eda41b

[]

no_license

aogz/flask-mysql-docker

2226835ec5d5161ec4164ccede1acf9ce6745318

00740ea19277e3ee5e505ce2fde7f1a59742ff29

refs/heads/master

2021-07-13T06:22:00.537011

2017-10-08T09:12:04

106,135,369

0

null

2017-10-08T09:24:27

2017-10-07T22:43:18

HTML

UTF-8

Python

false

389

py

# -*- coding: utf-8 -*- from app import app from flask import render_template from flask_login import current_user @app.route('/') def main(): if current_user.is_authenticated: return render_template('main/profile.html') else: return render_template('main/landing.html') @app.route('/settings') def settings(): return render_template('main/settings.html')

[ "aogurzow@gmail.com" ]

aogurzow@gmail.com

486bd69cc197bef259f8a8fa395e948d4c8b003d

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class Example: class_variable = "class_variable" # class variable def __init__(self, variable): self.variable = variable # instance variable, public self._variable = " ".join(["private", variable]) # instance variable, private self.__variable = " ".join(["Name mangling", variable]) Example.class_variable example = Example("test") example.variable example._variable example.__variable example._Example__variable

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#-*- encoding:UTF-8 -*- #誉天暑期训练营 import requests from bs4 import BeautifulSoup def getHTMLText(url): r=requests.get(url,timeout=15) r.raise_for_status() r.encoding='utf-8' return r.text def getSoup(url): txt=getHTMLText(url) soup=BeautifulSoup(txt,"html.parser") return soup def getContent(soup): contents=soup.find('div',{'class':'usoft-listview-basic'}) articles=[] for item in contents.find_all('li'): date1=item.find('span',{'class':'usoft-listview-item-date'}) datestr=date1.string title=item.find('a')['title'] articles.append([title,"---",datestr]) return articles if __name__ == '__main__': url='http://www.upln.cn/html/Channel_01/Column_0103/2.html' soup=getSoup(url) articleslist=getContent(soup) #显示爬取的信息 for item in articleslist: for i in item: print(i,end='') print() print('-----------------------')

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import my_module my_module.testFunction()

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""" impyute.imputation.ts.arima """ from impyute.util import find_null from impyute.util import checks # pylint: disable=invalid-name @checks def arima(data, p, d, q, axis=0): """Autoregressive Integrated Moving Average Imputation Stationary model PARAMETERS ---------- data: numpy.ndarray The matrix with missing values that you want to impute p: int Number of autoregressive terms. Ex (p,d,q)=(1,0,0). d: int Number of nonseasonal differences needed for stationarity q: int Number of lagged forecast errors in the prediction equation axis: boolean (optional) 0 if time series is in row format (Ex. data[0][:] is 1st data point). 1 if time series is in col format (Ex. data[:][0] is 1st data point). RETURNS ------- numpy.ndarray """ assert isinstance(p, int), "Parameter `p` must be an integer" assert isinstance(d, int), "Parameter `d` must be an integer" assert isinstance(q, int), "Parameter `q` must be an integer" null_xy = find_null(data) for x, y in null_xy: print(x, y) return data

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""" Assignment 1: Simple Python Program Author: Malkiel Asher Requirements: * Create a Python module with a __main__ , and at least 100 lines of code. You should use: if __name__ == "__main__": * Define at least 1 class, and at least 1 function for each class you have defined. Your __main__ should instantiate objects of the classes you have designed, and use them to invoke the methods defined in those classes. * Use list comprehensions to create lists. * Use dictionary comprehensions to create dictionaries. * Use at least 1 decision-making statement (if-elif) * Use at least 1 looping statement (for or while). * Use at least 1 try-except to catch some exceptions. * Use the input() function, or command-line arguments, to get some user input * Produce some, hopefully interesting, output * Add comments to make your script easy to understand (not counted toward the 100 line requirement) """ import time import WordBank import random # REVIEWED: implement if statement for each letter that the user inputs # REVIEWED: implement try catch for if the user inputs a non-number into the inputs where necessary #function made to have the player choose a letter that might be in the chosen word def guess_the_letter(word): print("We have now chosen a word!" "\nLet's start the game!") wordLen = len(word) wordChars = WordBank.split(word) answer = [] # for i in range(wordLen-1): # answer.insert(i,'_') answer = ['_' for w in range(wordLen)] #print("The default answer is:", answer) #for debugging purposes newWord = "" usedLetters = [] spacePositions = [] num = 0; missed = 0; print("The word contains:", wordLen, "letters") print_(wordLen) for i in range(wordLen): if(" " in wordChars[i]): num = num + 1; spacePositions.append(i) for i in range(num): answer[spacePositions[i]] = ' ' print("\nThere are", num, "spaces in the word") #print("\nThe word is", word) #for debugging purposes ONLY #REVIEWED: make sure only small case letters are acceptable NO NUMBERS ready = False while (not ready): try: letter = input("What is your first letter choice?") if letter.isalpha() and letter.islower() and len(letter) == 1: ready = True else: raise Exception() except: print(WordBank.font.RED + "ERROR: Please enter lowercase, single character letters only" + WordBank.font.END) (answer, usedLetters, missed) = WordBank.letCompare(letter, word, answer, usedLetters, missed) newWord = "" for x in answer: newWord += x print(WordBank.font.DARKCYAN + "Your Word so far:", newWord + WordBank.font.END) #REVIEWED: implement the hangman structure somewhere here and limit it to 7 wrong guesses while (newWord != word): ready = False while (not ready): try: letter = input("What is your next letter choice?") if letter.isalpha() and letter.islower() and len(letter) == 1: ready = True else: raise Exception() except: print(WordBank.font.RED + "ERROR: Please enter lowercase, single character letters only" + WordBank.font.END) (answer, usedLetters, missed) = WordBank.letCompare(letter, word, answer, usedLetters, missed) if((answer, usedLetters, missed) == (0,0,0)): return 0 newWord = "" for x in answer: newWord += x print(WordBank.font.DARKCYAN + "Your Word so far:", newWord + WordBank.font.END) #REVIEWED: make a decision here to display congrats if the word was guessed correctly or if the game finished with a dead man print(WordBank.font.DARKCYAN + WordBank.font.BOLD + WordBank.font.UNDERLINE + "Congratulations!" + WordBank.font.END) def print_(wordLen): for x in range(wordLen): print(WordBank.font.UNDERLINE + ' ' + WordBank.font.END, end =" ") print("\n") # function made to draw the basic hangman base in ASCII # REVIEWED: make a switch statement to make a new hangman for each infraction from 1 to wordLen-1 def HangDraw(missed, new_list): print("# of misses:",missed) miss = missed done = False; bodyParts = [' | (*_*)', ' | |', ' | \|', ' | \|/', ' | |', ' | /', ' | / \\'] # creating enumerate objects obj1 = enumerate(bodyParts) listOfMistakes = list(enumerate(bodyParts, 1)) if (miss >= 1): new_list[2] = ' | (*_*)' if(miss == 2): new_list[3] = ' | |' if(miss == 3): new_list[3] = ' | \|' if(miss >= 4): new_list[3] = ' | \|/' if(miss >= 5): new_list[4] = ' | |' if(miss == 6): new_list[5] = ' | /' if (miss == 7): new_list[5] = ' | / \\' done = True print(WordBank.font.BLUE + '\n'.join(new_list) + WordBank.font.END) if done: print(WordBank.font.RED + WordBank.font.BOLD + "\nUnfortunately you have lost the game :(\n" + WordBank.font.END) return done def hangman(): # Makes the drawing for hangman print(WordBank.font.BLUE + " _______" + WordBank.font.END) print(WordBank.font.BLUE + " |/ |" + WordBank.font.END) print(WordBank.font.BLUE + " | O" + WordBank.font.END) print(WordBank.font.BLUE + " |" + WordBank.font.END) print(WordBank.font.BLUE + " |" + WordBank.font.END) print(WordBank.font.BLUE + " |" + WordBank.font.END) print(WordBank.font.BLUE + " |" + WordBank.font.END) print(WordBank.font.BLUE + "_|___" + WordBank.font.END) #__name__ function to make sure client is starting from the correct module # if __name__ == "__main__": # main() if __name__ == "__main__": print("Welcome to the Hangman Game!") print("Here is the hangman structure:") hangman() time.sleep(3) genre = 0 word = "" ready = False while (not ready): try: genre = int(input("What genre would you like to get a word from? (ENTER NUMBER)" "\n1) Kitchen Utensils" "\n2) Office Supplies" "\n3) Popular Artists" "\n4) Popular Actors" "\n5) Popular Countries" "\n6) RANDOM MODE\n\nChoice: ")) if (genre < 6 and genre > 0): word = WordBank.word_bank(genre); elif (genre == 6): print("Entering rAnDoM MoDe!") rand_genre = (random.randint(1, 5)) word = WordBank.word_bank(rand_genre) else: raise Exception() ready = True except: print(WordBank.font.RED + "ERROR: Please enter a number between 1 and 6" + WordBank.font.END) word = word.lower() guess_the_letter(word)

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import os import math import datetime from tqdm import tqdm import pandas as pd import numpy as np import tensorflow as tf from tensorflow import keras import bert from bert import BertModelLayer from bert.loader import StockBertConfig, map_stock_config_to_params, load_stock_weights from bert.tokenization.bert_tokenization import FullTokenizer import seaborn as sns import matplotlib.pyplot as plt os.environ['CUDA_VISIBLE_DEVICES'] = '-1' train_base_dir = "/home/shravan/Downloads/train/" valid_base_dir = "/home/shravan/Downloads/valid/" def load_datasets(): train_df = pd.DataFrame() for name in os.listdir(train_base_dir): file_path = os.path.join(train_base_dir, name) train_df = pd.concat([train_df, pd.read_csv(file_path, sep=',', names=["sentences", "polarity"])], ignore_index=True ) break valid_df = pd.DataFrame() for name in os.listdir(valid_base_dir): file_path = os.path.join(valid_base_dir, name) valid_df = pd.concat([valid_df, pd.read_csv(file_path, sep=',', names=["sentences", "polarity"])], ignore_index=True ) break return train_df, valid_df train, test = load_datasets() bert_abs_path = '/home/shravan/Downloads/' bert_model_name = 'multi_cased_L-12_H-768_A-12' bert_ckpt_dir = os.path.join(bert_abs_path, bert_model_name) bert_ckpt_file = os.path.join(bert_ckpt_dir, "bert_model.ckpt") bert_config_file = os.path.join(bert_ckpt_dir, "bert_config.json") # Preprocessing class IntentDetectionData: DATA_COLUMN = 'sentences' LABEL_COLUMN = 'polarity' def __init__(self, train, test, tokenizer: FullTokenizer, classes, max_seq_len): self.tokenizer = tokenizer self.max_seq_len = 0 self.classes = classes # print(train[IntentDetectionData.DATA_COLUMN].str.len().sort_values().index()) train, test = map(lambda df: df.reindex(df[IntentDetectionData.DATA_COLUMN].str.len().sort_values().index), [train, test]) ((self.train_x, self.train_y), (self.test_x, self.test_y)) = map(self._prepare, [train, test]) print("max seq_len", self.max_seq_len) self.max_seq_len = min(self.max_seq_len, max_seq_len) self.train_x, self.test_x = map(self._pad, [self.train_x, self.test_x]) def _prepare(self, df): x, y = [], [] for _, row in tqdm(df.iterrows()): text, label = row[IntentDetectionData.DATA_COLUMN], row[IntentDetectionData.LABEL_COLUMN] tokens = self.tokenizer.tokenize(text) tokens = ['[CLS]'] + tokens + ['[SEP]'] token_ids = self.tokenizer.convert_tokens_to_ids(tokens) self.max_seq_len = max(self.max_seq_len, len(token_ids)) x.append(token_ids) y.append(self.classes.index(label)) return np.array(x), np.array(y) def _pad(self, ids): x = [] for input_ids in ids: input_ids = input_ids[:min(len(input_ids), self.max_seq_len - 2)] input_ids = input_ids + [0] * (self.max_seq_len - len(input_ids)) x.append(np.array(input_ids)) return np.array(x) tokenizer = FullTokenizer(vocab_file=os.path.join(bert_ckpt_dir, 'vocab.txt')) t = tokenizer.tokenize('ಶುಭ ದಿನ') print(t) ds = tokenizer.convert_tokens_to_ids(t) print(ds) def create_model(max_seq_len, bert_ckpt_file): with tf.io.gfile.GFile(bert_config_file, 'r') as reader: bc = StockBertConfig.from_json_string(reader.read()) bert_params = map_stock_config_to_params(bc) bert_params.adapter_size = None bert = BertModelLayer.from_params(bert_params, name='bert') input_ids = keras.layers.Input(shape=(max_seq_len,), dtype='int32', name='input_ids') print('----intput_ids', input_ids) bert_output = bert(input_ids) print('bert shape', bert_output.shape) cls_out = keras.layers.Lambda(lambda seq: seq[:, 0, :])(bert_output) cls_out = keras.layers.Dropout(0.5)(cls_out) logits = keras.layers.Dense(units=768, activation='tanh')(cls_out) logits = keras.layers.Dropout(0.5)(logits) logits = keras.layers.Dense(units=len(classes), activation='softmax')(logits) model = keras.Model(inputs=input_ids, outputs=logits) model.build(input_shape=(None, max_seq_len)) load_stock_weights(bert, bert_ckpt_file) return model classes = train.polarity.unique().tolist() data = IntentDetectionData(train, test, tokenizer, classes, max_seq_len=128) print(data.train_x.shape) # Training: #model = create_model(data.max_seq_len, bert_ckpt_file) check_point_path = '/home/shravan/dissertation/bert_model/saved_model/1' model = tf.keras.models.load_model(check_point_path) print(model.summary()) model.compile( #optimizer=keras.optimizers.Adam(1e-5), optimizer=keras.optimizers.Adam(), loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True), #metrics=[keras.metrics.SparseCategoricalAccuracy(name='acc')] #metrics=['mae'] metrics=['acc'] ) log_dir = 'log/intent_detection' + datetime.datetime.now().strftime("%Y%m%d-%H%M%s") tensorboard_callback = keras.callbacks.TensorBoard(log_dir=log_dir) history = model.fit( x=data.train_x, y=data.train_y, validation_data=(data.test_x, data.test_y), batch_size=32, shuffle=True, epochs=5, callbacks=[tensorboard_callback] ) check_point_path = '/home/shravan/dissertation/bert_model/saved_model/1' tf.saved_model.save(model, check_point_path) # model.save(check_point_path) mae = history.history['acc'] val_mae = history.history['val_acc'] epochs = range(len(mae)) accuracy_file = '/home/shravan/aws_scripts/cronjob/accuracy.png' plt.figure(figsize=(15,10)) plt.plot(epochs, mae, label=['Training Accuracy']) plt.plot(epochs, val_mae, label=['Validation Accuracy']) plt.legend() plt.savefig(accuracy_file) loss = history.history['loss'] val_loss = history.history['val_loss'] validation_file = '/home/shravan/aws_scripts/cronjob/validation.png' plt.figure(figsize=(15, 10)) plt.plot(epochs, loss, label=['Training Loss']) plt.plot(epochs, val_loss, label=['Validation Loss']) plt.legend() plt.savefig(validation_file)

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# Decorators_Pattern.py from functools import wraps ''' def my_decorator(fn): @wraps(fn) def wrapper(*args, **kwargs): #do some stuff with fn(*args, **kwargs) pass return wrapper ''' def log_function_data(fn): def wrapper(*args, **kwargs): print(f"you are about to call {fn.__name__}") print(f"Here'a the documentation: {fn.__doc__}") return fn(*args, **kwargs) return wrapper @log_function_data def add(x, y): return x + y print(add(10, 30)) # you are about to call add # Here'a the documentation: None # 40 print(add.__doc__) # None print(add.__name__) # wrapper #print(add) # wrappers

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# Configuration file for Automation Unit Testing Module in Canvas Module # Please setup this file before start of the main application #expected answer #Configure before start of the program kth_canvas="https://kth.instructure.com/" #course_id 2139(sandbox) thesis_course_id = 2139 #sandbox #assignment_id 24565 testing 1; 24566 testing 2 ; 24567 testing 3; proporsal_assignment_id=24565 #test_1 Thesis_assignment_id=24566 #test_2 User_id=11185

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# -*- coding: utf-8 -*- # Generated by Django 1.11.5 on 2017-09-25 17:59 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('characters', '0027_auto_20170924_1835'), ] operations = [ migrations.AddField( model_name='race', name='fieldValues', field=models.ForeignKey(default=None, null=True, on_delete=django.db.models.deletion.CASCADE, to='characters.FieldValues'), ), ]

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from django.urls import path from . import views urlpatterns = [ path('', views.index, name='index'), path('generatemarkup/', views.generatemarkup, name='generatemarkup'), ]

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from django.conf.urls import patterns, url from . import views urlpatterns = [ url(r'^$', 'blog.views.post_list', name='post_list'), url(r'^Net_present_value/$', 'blog.views.Net_present_value', name='Net_present_value'), url(r'^Annuity/$', 'blog.views.Annuity', name='Annuity'), url(r'^Bond/$', 'blog.views.Bond', name='Bond'), url(r'^Stock/$', 'blog.views.Stock', name='Stock'), url(r'^Portfolio/$', 'blog.views.Portfolio', name='Portfolio'), ]

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from django.apps import AppConfig class ViewprofileConfig(AppConfig): """ This ViewprofileConfig class used to register the app ViewprofileConfig in our project. Attributes: name. """ name = 'viewProfile'

[ "shahriar.shovon@northsouth.edu" ]

shahriar.shovon@northsouth.edu

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/Section3- Functions/returnFunction.py

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SpencerTruett/AutomateTheBoringStuff

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refs/heads/master

2023-03-27T20:11:55.139252

2021-03-22T23:41:02

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def plusOne(number): return number + 1 newNumber = plusOne(5) print(newNumber)

[ "srtruett1993@gmail.com" ]

srtruett1993@gmail.com

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/algo/interesting_problems/python/skyline_problem.py

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[]

no_license

vivekkumark/BigO

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refs/heads/master

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from __future__ import print_function def append_skyline(result, sk): # redundancy is handled by not appending a strip if the # previous strip in result has same height if not len(result): result.append(sk) elif result[-1][1] != sk[1]: result.append(sk) def skyline_merge(s1, s2): h1 = h2 = 0 l1 = l2 = 0 result = [] while l1 < len(s1) and l2 < len(s2): s1_x, s1_ht = s1[l1] s2_x, s2_ht = s2[l2] if s1_x <= s2_x: h1 = s1_ht append_skyline(result, (s1_x, max(h1, h2))) l1 += 1 else: h2 = s2_ht append_skyline(result, (s2_x, max(h1, h2))) l2 += 1 while l1 < len(s1): result.append(s1[l1]) l1 += 1 while l2 < len(s2): result.append(s2[l2]) l2 += 1 return result def skyline(buildings): L = len(buildings) if L == 1: left, ht, right = buildings[0] return [(left, ht), (right, 0)] mid = L/2 s1 = skyline(buildings[:mid]) s2 = skyline(buildings[mid:]) return skyline_merge(s1, s2) if __name__ == '__main__': buildings = [(1, 11, 5), (2, 6, 7), (3, 13, 9), (12, 7, 16), (14, 3, 25), (19, 18, 22), (23, 13, 29), (24, 4, 28)] buildings.sort(key=lambda k: k[0]) print(buildings) print(skyline(buildings))

[ "vivekkumar1987@gmail.com" ]

vivekkumar1987@gmail.com

19579a2894ac64b3ccba0354f93383ac9fa373e8

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/sisyphus/migrations/0009_auto_20180613_1054.py

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[ "MIT" ]

permissive

JessicaNgo/colossus

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# -*- coding: utf-8 -*- # Generated by Django 1.9.6 on 2018-06-13 17:54 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('sisyphus', '0008_auto_20180117_1533'), ] operations = [ migrations.AlterField( model_name='analysisrun', name='run_status', field=models.CharField(default='Unknown', max_length=50, verbose_name='Run Status'), ), ]

[ "amcphers@bccrc.ca" ]

amcphers@bccrc.ca

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/core/blocks.py

616a6e3e6ab5e3ee4ac57cfc30ec1ff23a95b260

[]

no_license

Erika1012/DeepFry

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refs/heads/main

2023-06-03T06:40:34.884707

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from collections import Iterable import itertools import tensorflow as tf from tensorflow.python.keras import layers class DNN(tf.keras.Model): """ Deep Neural Network """ def __init__(self, units, use_bias=True, use_bn=False, dropout=0, activations=None, kernel_initializers='glorot_uniform', bias_initializers='zeros', kernel_regularizers=tf.keras.regularizers.l2(1e-5), bias_regularizers=None, **kwargs): """ :param units: An iterable of hidden layers' neural units' number, its length is the depth of the DNN. :param use_bias: Iterable/Boolean. If this is not iterable, every layer of the DNN will have the same param, the same below. :param activations: Iterable/String/TF activation class :param kernel_initializers: Iterable/String/TF initializer class :param bias_initializers: Iterable/String/TF initializer class :param kernel_regularizers: Iterable/String/TF regularizer class :param bias_regularizers: Iterable/String/TF regularizer class """ super(DNN, self).__init__(**kwargs) self.units = units self.use_bias = use_bias self.use_bn = use_bn self.dropout = dropout self.activations = activations self.kernel_initializers = kernel_initializers self.bias_initializers = bias_initializers self.kernel_regularizers = kernel_regularizers self.bias_regularizers = bias_regularizers if not isinstance(self.use_bias, Iterable): self.use_bias = [self.use_bias] * len(self.units) if not isinstance(self.use_bn, Iterable): self.use_bn = [self.use_bn] * len(self.units) if not isinstance(self.dropout, Iterable): self.dropout = [self.dropout] * len(self.units) if not isinstance(self.activations, Iterable): self.activations = [self.activations] * len(self.units) if isinstance(self.kernel_initializers, str) or not isinstance(self.kernel_initializers, Iterable): self.kernel_initializers = [self.kernel_initializers] * len(self.units) if isinstance(self.bias_initializers, str) or not isinstance(self.bias_initializers, Iterable): self.bias_initializers = [self.bias_initializers] * len(self.units) if isinstance(self.kernel_regularizers, str) or not isinstance(self.kernel_regularizers, Iterable): self.kernel_regularizers = [self.kernel_regularizers] * len(self.units) if isinstance(self.bias_regularizers, str) or not isinstance(self.bias_regularizers, Iterable): self.bias_regularizers = [self.bias_regularizers] * len(self.units) self.mlp = tf.keras.Sequential() for i in range(len(self.units)): self.mlp.add(layers.Dense( units=self.units[i], activation=self.activations[i], use_bias=self.use_bias[i], kernel_initializer=self.kernel_initializers[i], bias_initializer=self.bias_initializers[i], kernel_regularizer=self.kernel_regularizers[i], bias_regularizer=self.bias_regularizers[i] )) if self.dropout[i] > 0: self.mlp.add(layers.Dropout(self.dropout[i])) if self.use_bn[i]: self.mlp.add(layers.BatchNormalization()) def call(self, inputs, **kwargs): output = self.mlp(inputs) return output class FM(tf.keras.Model): """ Factorization Machine Block compute cross features (order-2) and return their sum (without linear term) """ def __init__(self, **kwargs): super(FM, self).__init__(**kwargs) def call(self, inputs, require_logit=True, **kwargs): """ :param inputs: list of 2D tensor with shape [batch_size, embedding_size] all the features should be embedded and have the same embedding size :return: 2D tensor with shape [batch_size, 1] sum of all cross features """ # [b, n, m] inputs_3d = tf.stack(inputs, axis=1) # [b, m] # (a + b) ^ 2 - (a ^ 2 + b ^ 2) = 2 * ab, we need the cross feature "ab" square_of_sum = tf.square(tf.reduce_sum(inputs_3d, axis=1, keepdims=False)) sum_of_square = tf.reduce_sum(tf.square(inputs_3d), axis=1, keepdims=False) if require_logit: outputs = 0.5 * tf.reduce_sum(square_of_sum - sum_of_square, axis=1, keepdims=True) else: outputs = 0.5 * (square_of_sum - sum_of_square) return outputs class InnerProduct(tf.keras.Model): def __init__(self, require_logit=True, **kwargs): super(InnerProduct, self).__init__(**kwargs) self.require_logit = require_logit def call(self, inputs, **kwargs): rows = list() cols = list() for i in range(len(inputs) - 1): for j in range(i, len(inputs)): rows.append(i) cols.append(j) # [batch_size, pairs_num, embedding_size] p = tf.stack([inputs[i] for i in rows], axis=1) q = tf.stack([inputs[j] for j in cols], axis=1) if self.require_logit: inner_product = tf.reduce_sum(p * q, axis=-1, keepdims=False) else: inner_product = tf.keras.layers.Flatten()(p * q) return inner_product class OuterProduct(tf.keras.Model): def __init__(self, kernel_initializer='glorot_uniform', kernel_regularizer=tf.keras.regularizers.l2(1e-5), **kwargs): super(OuterProduct, self).__init__(**kwargs) self.kernel_initializer = kernel_initializer self.kernel_regularizer = kernel_regularizer def call(self, inputs, **kwargs): outer_products_list = list() for i in range(len(inputs) - 1): for j in range(i + 1, len(inputs)): inp_i = tf.expand_dims(inputs[i], axis=1) inp_j = tf.expand_dims(inputs[j], axis=-1) kernel = self.add_weight(shape=(inp_i.shape[2], inp_j.shape[1]), initializer=self.kernel_initializer, regularizer=self.kernel_regularizer, trainable=True) product = tf.reduce_sum(tf.matmul(tf.matmul(inp_i, kernel), inp_j), axis=-1, keepdims=False) outer_products_list.append(product) outer_product_layer = tf.concat(outer_products_list, axis=1) return outer_product_layer class CrossNetwork(tf.keras.Model): def __init__(self, kernel_initializer='glorot_uniform', kernel_regularizer=tf.keras.regularizers.l2(1e-5), bias_initializer='zeros', bias_regularizer=None, **kwargs): super(CrossNetwork, self).__init__(**kwargs) self.kernel_initializer = kernel_initializer self.kernel_regularizer = kernel_regularizer self.bias_initializer = bias_initializer self.bias_regularizer = bias_regularizer def call(self, inputs, layers_num=3, require_logit=True, **kwargs): x0 = tf.expand_dims(tf.concat(inputs, axis=1), axis=-1) x = tf.transpose(x0, [0, 2, 1]) for i in range(layers_num): kernel = self.add_weight(shape=(x0.shape[1], 1), initializer=self.kernel_initializer, regularizer=self.kernel_regularizer, trainable=True) bias = self.add_weight(shape=(x0.shape[1], 1), initializer=self.bias_initializer, regularizer=self.bias_regularizer, trainable=True) x = tf.matmul(tf.matmul(x0, x), kernel) + bias + tf.transpose(x, [0, 2, 1]) x = tf.transpose(x, [0, 2, 1]) x = tf.squeeze(x, axis=1) if require_logit: kernel = self.add_weight(shape=(x0.shape[1], 1), initializer=self.kernel_initializer, regularizer=self.kernel_regularizer, trainable=True) x = tf.matmul(x, kernel) return x class CIN(tf.keras.Model): def __init__(self, kernel_initializer='glorot_uniform', kernel_regularizer=tf.keras.regularizers.l2(1e-5), **kwargs): super(CIN, self).__init__(**kwargs) self.kernel_initializer = kernel_initializer self.kernel_regularizer = kernel_regularizer def call(self, inputs, hidden_width=(128, 64), require_logit=True, **kwargs): # hidden_width=(128, 64) # [b, n, m] x0 = tf.stack(inputs, axis=1) x = tf.identity(x0) hidden_width = [x0.shape[1]] + list(hidden_width) finals = list() for h in hidden_width: rows = list() cols = list() for i in range(x0.shape[1]): for j in range(x.shape[1]): rows.append(i) cols.append(j) # [b, pair, m] x0_ = tf.gather(x0, rows, axis=1) x_ = tf.gather(x, cols, axis=1) # [b, m, pair] p = tf.transpose(tf.multiply(x0_, x_), [0, 2, 1]) kernel = self.add_weight(shape=(p.shape[-1], h), initializer=self.kernel_initializer, regularizer=self.kernel_regularizer, trainable=True) # [b, h, m] x = tf.transpose(tf.matmul(p, kernel), [0, 2, 1]) finals.append(tf.reduce_sum(x, axis=-1, keepdims=False)) finals = tf.concat(finals, axis=-1) kernel = self.add_weight(shape=(finals.shape[-1], 1), initializer=self.kernel_initializer, regularizer=self.kernel_regularizer, trainable=True) logit = tf.matmul(finals, kernel) return logit class AttentionBasedPoolingLayer(tf.keras.Model): def __init__(self, attention_factor=4, kernel_initializer='glorot_uniform', kernel_regularizer=tf.keras.regularizers.l2(1e-5), bias_initializer='zeros', bias_regularizer=None, **kwargs): super(AttentionBasedPoolingLayer, self).__init__(**kwargs) self.attention_factor = attention_factor self.kernel_initializer = kernel_initializer self.kernel_regularizer = kernel_regularizer self.bias_initializer = bias_initializer self.bias_regularizer = bias_regularizer self.att_layer = layers.Dense( units=self.attention_factor, activation='relu', use_bias=True, kernel_initializer=self.kernel_initializer, kernel_regularizer=self.kernel_regularizer, bias_initializer=self.bias_initializer, bias_regularizer=self.bias_regularizer ) self.att_proj_layer = layers.Dense( units=1, activation=None, use_bias=False, kernel_initializer=self.kernel_initializer ) def call(self, inputs, **kwargs): interactions = list() for i in range(len(inputs) - 1): for j in range(i + 1, len(inputs)): interactions.append(tf.multiply(inputs[i], inputs[j])) interactions = tf.stack(interactions, axis=1) att_weight = self.att_layer(interactions) att_weight = self.att_proj_layer(att_weight) att_weight = layers.Softmax(axis=1)(att_weight) output = tf.reduce_sum(interactions * att_weight, axis=1) return output class AutoIntInteraction(tf.keras.Model): def __init__(self, att_embedding_size=8, heads=2, use_res=True, seed=2333, **kwargs): super(AutoIntInteraction, self).__init__(**kwargs) self.att_embedding_size = att_embedding_size self.heads = heads self.use_res = use_res self.seed = seed def call(self, inputs, **kwargs): m = inputs.shape[-1] W_Query = self.add_weight(shape=[m, self.att_embedding_size * self.heads], initializer=tf.keras.initializers.RandomNormal(seed=self.seed)) W_key = self.add_weight(shape=[m, self.att_embedding_size * self.heads], initializer=tf.keras.initializers.RandomNormal(seed=self.seed)) W_Value = self.add_weight(shape=[m, self.att_embedding_size * self.heads], initializer=tf.keras.initializers.RandomNormal(seed=self.seed)) queries = tf.matmul(inputs, W_Query) keys = tf.matmul(inputs, W_key) values = tf.matmul(inputs, W_Value) queries = tf.stack(tf.split(queries, self.heads, axis=2)) keys = tf.stack(tf.split(keys, self.heads, axis=2)) values = tf.stack(tf.split(values, self.heads, axis=2)) att_score = tf.matmul(queries, keys, transpose_b=True) att_score = layers.Softmax(axis=-1)(att_score) result = tf.matmul(att_score, values) result = tf.concat(tf.split(result, self.heads), axis=-1) result = tf.squeeze(result, axis=0) if self.use_res: W_Res = self.add_weight(shape=[m, self.att_embedding_size * self.heads], initializer=tf.keras.initializers.RandomNormal(seed=self.seed)) result = result + tf.matmul(inputs, W_Res) result = tf.keras.activations.relu(result) return result class FGCNNlayer(tf.keras.layers.Layer): def __init__(self, filters, kernel_width, new_feat_filters, pool_width, **kwargs): super(FGCNNlayer, self).__init__(**kwargs) self.filters = filters self.kernel_width = kernel_width self.new_feat_filters = new_feat_filters self.pool_width = pool_width def call(self, inputs, **kwargs): output = inputs output = tf.keras.layers.Conv2D( filters=self.filters, strides=(1, 1), kernel_size=(self.kernel_width, 1), padding='same', activation='tanh', use_bias=True )(output) output = tf.keras.layers.MaxPooling2D( pool_size=(self.pool_width, 1) )(output) new_feat_output = tf.keras.layers.Flatten()(output) new_feat_output = tf.keras.layers.Dense( units=output.shape[1] * output.shape[2] * self.new_feat_filters, activation='tanh', use_bias=True )(new_feat_output) new_feat_output = tf.reshape(new_feat_output, shape=(-1, output.shape[1] * self.new_feat_filters, output.shape[2])) return output, new_feat_output class BiInteraction(tf.keras.Model): def __init__(self, mode='all', **kwargs): super(BiInteraction, self).__init__(**kwargs) self.mode = mode def call(self, inputs, **kwargs): output = list() embedding_size = inputs[0].shape[-1] if self.mode == 'all': W = self.add_weight( shape=(embedding_size, embedding_size), initializer='glorot_uniform', regularizer=tf.keras.regularizers.l2(1e-5), trainable=True ) for i in range(len(inputs) - 1): for j in range(i, len(inputs)): inter = tf.tensordot(inputs[i], W, axes=(-1, 0)) * inputs[j] output.append(inter) elif self.mode == 'each': for i in range(len(inputs) - 1): W = self.add_weight( shape=(embedding_size, embedding_size), initializer='glorot_uniform', regularizer=tf.keras.regularizers.l2(1e-5), trainable=True ) for j in range(i, len(inputs)): inter = tf.tensordot(inputs[i], W, axes=(-1, 0)) * inputs[j] output.append(inter) elif self.mode == 'interaction': for i in range(len(inputs) - 1): for j in range(i, len(inputs)): W = self.add_weight( shape=(embedding_size, embedding_size), initializer='glorot_uniform', regularizer=tf.keras.regularizers.l2(1e-5), trainable=True ) inter = tf.tensordot(inputs[i], W, axes=(-1, 0)) * inputs[j] output.append(inter) output = tf.concat(output, axis=1) return output class SENet(tf.keras.Model): def __init__(self, axis=-1, reduction=4, **kwargs): super(SENet, self).__init__(**kwargs) self.axis = axis self.reduction = reduction def call(self, inputs, **kwargs): # inputs [batch_size, feats_num, embedding_size] feats_num = inputs.shape[1] weights = tf.reduce_mean(inputs, axis=self.axis, keepdims=False) # [batch_size, feats_num] W1 = self.add_weight( shape=(feats_num, self.reduction), trainable=True, initializer='glorot_normal' ) W2 = self.add_weight( shape=(self.reduction, feats_num), trainable=True, initializer='glorot_normal' ) weights = tf.keras.activations.relu(tf.tensordot(weights, W1, axes=(-1, 0))) weights = tf.keras.activations.relu(tf.tensordot(weights, W2, axes=(-1, 0))) weights = tf.expand_dims(weights, axis=-1) output = tf.multiply(weights, inputs) # [batch_size, feats_num, embedding_size] return output

[ "noreply@github.com" ]

Erika1012.noreply@github.com

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/mysite/urls.py

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[]

no_license

upinderawat/mysite

2f3bec8059133b059e08908b40f69c9c9fa47371

cabafc7c9c9eedaf63e11f708b6e896d09bae4a9

refs/heads/master

2020-04-14T13:16:43.803304

2019-01-13T13:12:49

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UTF-8

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"""mysite URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path, include from django.views.generic import TemplateView app_name = 'mysite' urlpatterns = [ path('', TemplateView.as_view(template_name='base.html'), name='index'), path('admin/', admin.site.urls), path('polls/', include('polls.urls')), path('accounts/', include('accounts.urls')), path('accounts/', include('django.contrib.auth.urls')) ]

[ "upinderawat@gmail.com" ]

upinderawat@gmail.com

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/pinclone/settings.py

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[]

no_license

H-Yazdi/Pin-clone

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f92a858d366f6c0baafef10c0c16c33152ab99c6

refs/heads/master

2022-12-17T22:36:03.193066

2020-09-21T06:50:13

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""" Django settings for Pinterest project. Generated by 'django-admin startproject' using Django 3.1.1. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path import os import environ env = environ.Env( # set casting, default value DEBUG=(bool, False) ) # reading .env file environ.Env.read_env() # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = env('SECRET_KEY') # SECURITY WARNING: don't run with debug turned on in production! DEBUG = env('DEBUG') ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'account', 'pinterest', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'pinclone.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] # WSGI_APPLICATION = 'Pinterest.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' MEDIA_URL = '/media/' MEDIA_ROOT = os.path.join(BASE_DIR,'media/') EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend' LOGIN_REDIRECT_URL = ('/')

[ "hamideh.shaterzadeh@gmail.com" ]

hamideh.shaterzadeh@gmail.com

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jacoloves/python_tool

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# window clear import os import time # os.system('clear') # print() # print() # print(' _ _ _ _ _ _ _ _ ') # print(' | |') # print(' - - - - - -') # print(' | | ') # print(' | | ') # print(' | | ') # print(' | | ') # print(' | | ') # print(' - - - - ') arr = [] # for i in range(10): # if i != 0: # arr.append(" ") # for j in range(i): # print(arr[j], end="") str_main = "" for i in range(10): if i == 0: arr.append(i) print("\r" + str(arr[0]), end="") if i != 0: for j in range(i): arr.append(" ") arr.append(i) for j in range(i+1): str_main = str_main + str(arr[j]) print("\r" + str_main, end="") str_main= "" arr.clear() time.sleep(0.3) # for i in range(10): # if i != 0: # for j in range(i): # arr.append(" ") # print("\r" + str(i), end="") # time.sleep(1)

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5511068t@gmail.com

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/패키지/1학기/모듈/sysmodule.py

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alswl4304/Programming-Python-

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refs/heads/master

2020-07-07T06:58:14.514266

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import sys print("실행 파일명: ", sys.argv[0]) for i in range(1,len(sys.argv)): print("옵션",i,":",sys.argv[i]) sys.exit() for i in range(1,100): print("여기는 실행 ㄴㄴ")

[ "alswl4304@naver.com" ]

alswl4304@naver.com

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/tests/test_color_triplet.py

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permissive

scalabli/quo

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2023-09-01T08:55:49.037768

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from rich.color_triplet import ColorTriplet def test_hex(): assert ColorTriplet(255, 255, 255).hex == "#ffffff" assert ColorTriplet(0, 255, 0).hex == "#00ff00" def test_rgb(): assert ColorTriplet(255, 255, 255).rgb == "rgb(255,255,255)" assert ColorTriplet(0, 255, 0).rgb == "rgb(0,255,0)" def test_normalized(): assert ColorTriplet(255, 255, 255).normalized == (1.0, 1.0, 1.0) assert ColorTriplet(0, 255, 0).normalized == (0.0, 1.0, 0.0)

[ "secretum.inc@pm.me" ]

secretum.inc@pm.me

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/Udemy/Section 24/logging_format.py

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ctramm/Python_Training

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""" Section 24: Lecture 143 Changing the format of logs https://docs.python.org/3/library/logging.html#logrecord-attributes https://docs.python.org/3/library/time.html#time.strftime """ import logging logging.basicConfig(format='%(asctime)s :: %(levelname)s: %(message)s', datefmt='%m/%d/%Y %I:%M:%S %p', level=logging.DEBUG) logging.warning("Warning Message") logging.info("Info MSG") logging.error("Error Message")

[ "ctramm@wiley.com" ]

ctramm@wiley.com

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/src/base/baseFile.py

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no_license

hi-cbh/pytest

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refs/heads/master

2021-01-20T22:23:10.253647

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# urs/bin/python # encoding:utf-8 '''文件操作''' # urs/bin/python # encoding:utf-8 import os import time import operator import subprocess class BaseFile(object): def adbFindFile(self, path, file): '''查找文件时是否存在''' try: value = os.popen("adb shell ls "+path) # txt = value.readlines() # print('value: %r' %txt) for txt in value.readlines(): # print('value: %r' %txt) if (file in txt) and ("No such file or directory" not in txt) : # print('文件存在：%r' %file) return True return False except BaseException as msg: print('msg: %r' %msg) return False def adbDeleteFile(self, path, file): '''删除文件''' try: os.popen("adb shell rm "+path) except BaseException as msg: print('msg: %r' %msg) def adbTouchFile(self, path, file): '''创建文件''' try: os.popen("adb shell touch "+path + file) except BaseException as msg: print('msg: %r' %msg) def waitforfile(self, path, file, timeout = 10): '''等待文件出现''' timeout = int(round(time.time() * 1000)) + timeout * 1000 try: while (int(round(time.time() * 1000) < timeout)): # print('wait.....') if(self.adbFindFile(path, file) == True): # print('find it') return True; time.sleep(0.1) except BaseException as msg: print(msg) else: # print('time out') return False def adbMkdirDir(self, path): '''创建文件夹''' try: os.popen("adb shell mkdir -p " + path) except BaseException as msg: print('msg: %r' %msg) def adbLsFileSize(self, path): '''创建文件夹''' try: value = os.popen("adb shell ls -l " + path) # txt = value.readlines() # print('value: %r' %txt) for txt in value.readlines(): if txt not in [None, '\n']: # print(txt) # print(txt.split(' ',13)) # print(txt.split(' ',13)[9]) return txt.split(' ',13)[9] '''使用正则表达式 s = "sdfdsfis123123#4342#" result = re.findall(r".*#(.*)#.*",s) for x in result: print(x) print(result) ''' except BaseException as msg: print('msg: %r' %msg) return None def waitForFileModify(self, timeoutMillis): '''等待文件更新,单位为：秒''' try: # path = "/mnt/sdcard/0/0./t.txt" # dirpath = "/mnt/sdcard/0/0./" path = "/mnt/sdcard/Android/data/com.cmcc.test/cache/t.txt" dirpath = "/mnt/sdcard/Android/data/com.cmcc.test/cache/" if self.adbFindFile(path, "t.txt") != True: print('文件存在') self.adbMkdirDir( dirpath) self.adbTouchFile(path, '') time.sleep(1) if self.adbFindFile(path, "t.txt") != True: print('文件不存在') return False orgsize = self.adbLsFileSize(path) timeout = int(round(time.time() * 1000)) + timeoutMillis * 1000 while (int(round(time.time() * 1000) < timeout)): # print('wait.....') if(operator.ne(self.adbLsFileSize(path),orgsize)): print('文件更新了.....') return True; time.sleep(0.1) else: print('time out') return False except BaseException as msg: print('msg: %r' %msg) return False def adbTailFile(self): '''使用 adb shell tail -n 1 查找固定目录下的文件，倒数第一行''' path = "/mnt/sdcard/Android/data/com.cmcc.test/cache/t.txt" try: value = subprocess.Popen("adb shell tail -n 1 " + path, shell=True,stdout=subprocess.PIPE, stdin=subprocess.PIPE, stderr=subprocess.PIPE) value.wait() output = value.stdout.read().decode() if output not in ['',None]: print ("%s" % output) return output else: return None except BaseException as msg: print('msg: %r' %msg) return None def getTime(self): try: '''获取时间值''' content = self.adbTailFile() time = 0 if len(content) < 60 or (not content.find('\#') == -1) : return time l = content.split('#')[1] # print("times：%s" %l) valueTime = str(round((float(l)/1000.0), 3)) print('时间差: %r' %valueTime) return valueTime except BaseException: return time BaseFile = BaseFile()

[ "hi_cbh@qq.com" ]

hi_cbh@qq.com

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/experiments/experiment_driver_policy.py

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[]

no_license

NVlabs/sim-parameter-estimation

7bd1a255987a79f68e43617b9a59914e7c3acb54

932d18545e71a649c59fa00c2fe4cfc0da080dee

refs/heads/master

2023-01-14T07:22:40.768007

2020-11-20T05:16:23

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# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. # # NVIDIA CORPORATION and its licensors retain all intellectual property # and proprietary rights in and to this software, related documentation # and any modifications thereto. Any use, reproduction, disclosure or # distribution of this software and related documentation without an express # license agreement from NVIDIA CORPORATION is strictly prohibited. import matplotlib matplotlib.use('Agg') import random import logging import numpy as np import torch import gym import argparse import os from parameter_estimation.utils.logging import reshow_hyperparameters from parameter_estimation.envs.randomized_vecenv import make_vec_envs from experiments.args import get_args from experiments.estimator_helper import get_estimator from policy.ddpg import DDPG def run_experiment(args): reshow_hyperparameters(args, paths={}) reference_env = make_vec_envs(args.reference_env_id, args.seed, args.nagents) randomized_env = make_vec_envs(args.randomized_env_id, args.seed, args.nagents) parameter_estimator = get_estimator(reference_env, randomized_env, args) logging.root.setLevel(logging.INFO) torch.manual_seed(args.seed) torch.cuda.manual_seed(args.seed) np.random.seed(args.seed) parameter_estimator.load_trajectory(reference_env, f'trajectories/{args.reference_env_id}.npy') logging.info('Loaded Trajectories') t = 0 state_dim = randomized_env.observation_space.shape[0] action_dim = randomized_env.action_space.shape[0] max_action = 1.0 kwargs = { "state_dim": state_dim, "action_dim": action_dim, "max_action": max_action, } policy = DDPG(**kwargs) evaluations = [] for iteration in range(args.num_iterations): parameter_estimator.update_parameter_estimate(randomized_env, policy, reference_env) if iteration % args.log_interval == 0: logging.info( args.jobid, args.estimator_class, args.reference_env_id, args.learned_reward, iteration, parameter_estimator.get_parameter_estimate(randomized_env) ) # TODO: Should be held out, test data evaluations.append(parameter_estimator.get_parameter_estimate(randomized_env)) np.save('evaluations/{}-{}-{}-{}-policy-evals'.format( args.estimator_class, args.reference_env_id, args.learned_reward, args.suffix), evaluations) reshow_hyperparameters(args, paths={}) if __name__ == '__main__': args = get_args() run_experiment(args)

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NVlabs.noreply@github.com

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/openstack/neutron_plugin/neutron_plugin_contrail/plugins/opencontrail/loadbalancer/plugin.py

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permissive

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refs/heads/master

2020-06-30T23:38:29.650304

2017-07-31T11:13:46

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2016-12-02T14:15:51

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# # Copyright (c) 2014 Juniper Networks, Inc. All rights reserved. # from loadbalancer_db import LoadBalancerPluginDb try: from neutron.extensions import loadbalancer except ImportError: from neutron_lbaas.extensions import loadbalancer from neutron.db import servicetype_db as sdb from neutron.plugins.common import constants from neutron.services import provider_configuration as pconf class LoadBalancerPlugin(LoadBalancerPluginDb): supported_extension_aliases = ["lbaas", "extra_lbaas_opts"] if hasattr(loadbalancer, 'LOADBALANCER_PREFIX'): path_prefix = loadbalancer.LOADBALANCER_PREFIX def __init__(self): super(LoadBalancerPlugin, self).__init__() self._get_default_provider() def _get_default_provider(self): self.default_provider = "opencontrail" try: service_type_manager = sdb.ServiceTypeManager.get_instance() provider = (service_type_manager. get_default_service_provider(None, constants.LOADBALANCER)) self.pool_manager.check_provider_exists(provider['name']) self.default_provider = provider['name'] except: pass def get_plugin_description(self): return "OpenContrail LoadBalancer Service Plugin" def _pool_update_provider(self, context, pool): if 'provider' not in pool or not pool['provider'] or pool['provider'].__class__ is object: pool['provider'] = self.default_provider def create_pool(self, context, pool): self._pool_update_provider(context, pool['pool']) return super(LoadBalancerPlugin, self).create_pool(context, pool)

[ "awaisalisabir@yahoo.com" ]

awaisalisabir@yahoo.com

81eef8d835d5b1b148857bd544823ae8028dcb3e

713fc732a037447897092722647e28cb7a9711a8

/app/api_1_0/comments.py

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[]

no_license

jkachhadia/StatsBoy

9612eec07b44cf34f76c63eddbb085daa7869640

ad9bb1f921dcb4c74b1ba842b015445c1e0abe33

refs/heads/master

2021-01-18T00:46:20.848151

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from flask import jsonify, request, g, url_for, current_app from .. import db from ..models import Post, Permission, Comment from . import api from .decorators import permission_required @api.route('/comments/') def get_comments(): page = request.args.get('page', 1, type=int) pagination = Comment.query.order_by(Comment.timestamp.desc()).paginate( page, per_page=current_app.config['BLOGPOLE_COMMENTS_PER_PAGE'], error_out=False) comments = pagination.items prev = None if pagination.has_prev: prev = url_for('api.get_comments', page=page-1, _external=True) next = None if pagination.has_next: next = url_for('api.get_comments', page=page+1, _external=True) return jsonify({ 'comments': [comment.to_json() for comment in comments], 'prev': prev, 'next': next, 'count': pagination.total }) @api.route('/comments/<int:id>') def get_comment(id): comment = Comment.query.get_or_404(id) return jsonify(comment.to_json()) @api.route('/posts/<int:id>/comments/') def get_post_comments(id): post = Post.query.get_or_404(id) page = request.args.get('page', 1, type=int) pagination = post.comments.order_by(Comment.timestamp.asc()).paginate( page, per_page=current_app.config['BLOGPOLE_COMMENTS_PER_PAGE'], error_out=False) comments = pagination.items prev = None if pagination.has_prev: prev = url_for('api.get_post_comments', page=page-1, _external=True) next = None if pagination.has_next: next = url_for('api.get_post_comments', page=page+1, _external=True) return jsonify({ 'comments': [comment.to_json() for comment in comments], 'prev': prev, 'next': next, 'count': pagination.total }) @api.route('/posts/<int:id>/comments/', methods=['POST']) @permission_required(Permission.COMMENT) def new_post_comment(id): post = Post.query.get_or_404(id) comment = Comment.from_json(request.json) comment.author = g.current_user comment.post = post db.session.add(comment) db.session.commit() return jsonify(comment.to_json()), 201, \ {'Location': url_for('api.get_comment', id=comment.id, _external=True)}

[ "jaykachhadia@hotmail.com" ]

jaykachhadia@hotmail.com

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/wordcount/settings.py

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[]

no_license

NikhilRaheja/wordcount-project

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refs/heads/master

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""" Django settings for wordcount project. Generated by 'django-admin startproject' using Django 2.0.2. For more information on this file, see https://docs.djangoproject.com/en/2.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.0/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '!&u75*lfy5*o&%hca$fhw#&tih873p5$h7l9e+(w3w*du7n=#l' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'wordcount.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'wordcount.wsgi.application' # Database # https://docs.djangoproject.com/en/2.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/2.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.0/howto/static-files/ STATIC_URL = '/static/'

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nikhilraheja078@gmail.com

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/app/utils/seeds.py

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[]

no_license

cyr1z/api-movie-library-

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""" Seeds """ import json from faker import Faker # Country from app.config import ADMIN_PASSWORD from app.models.country import Country from app.models.director import Director from app.models.genre import Genre from app.models.movie import Movie from app.models.user import User with open("/data/countries.json") as json_file: data = json.load(json_file) for item in data["data"]: if Country.find_by_short(item["short"]) is None: print(dict(item)) Country(**dict(item)).save() # Director with open("/data/directors.json") as json_file: data = json.load(json_file) for item in data["data"]: if Director.find_by_name(item["name"]) is None: print(dict(item)) Director(**dict(item)).save() # Genre with open("/data/genres.json") as json_file: data = json.load(json_file) for item in data["data"]: if Genre.find_by_name(item["name"]) is None: print(dict(item)) Genre(**dict(item)).save() # User fake = Faker() for _ in range(500): data = fake.simple_profile() item = { "email": data["mail"], "username": data["username"], "first_name": data["name"].split()[-2], "last_name": data["name"].split()[-1], "is_admin": False, } if ( User.find_by_username(item["username"]) is None and User.find_by_email(item["email"]) is None ): print(dict(item)) user = User(**dict(item)) user.password = item["username"] user.save() admin = { "email": "admin@gmail.com", "username": "admin", "first_name": "admin", "last_name": "admin", "is_admin": True, } if User.find_by_username(admin["username"]) is None: print(dict(admin)) user = User(**dict(admin)) user.password = ADMIN_PASSWORD user.save() # Movie with open("/data/movies.json") as datafile: lines = datafile.readlines() for line in lines: film = json.loads(line.strip()) data = { "rate": film["rate"], "description": film["description"], "name": film["name"], "poster_link": film["poster_link"], "released": film["released"], "production": film["production"], } if Movie.find_by_name(data["name"]) is None: print(dict(data)) try: movie = Movie(**dict(data)) country = Country.find_by_short(film["country"]["short"]) if country is not None: movie.country = country for film_genre in film["genres"]: genre = Genre.find_by_name(film_genre["name"]) if genre is not None: movie.genres.append(genre) for film_director in film["directors"]: director = Director.find_by_name(film_director["name"]) if director is not None: movie.directors.append(director) user = User.get_random() print(user) if user.id is not None: movie.user = user else: movie.user = User.find_by_name("admin") movie.save() except: continue

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cyr@zolotarev.pp.ua

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/exercises/1901060015/d11/mymodule/stats_word.py

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[]

no_license

veryspecialdog/selfteaching-python-camp

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def stats_text_en(text): # 文章字符串前期处理,分割英文 t=text.split() from collections import Counter t1=Counter(t).most_common(100) return t1 def stats_text_cn(text): # 文章字符串前期处理 from collections import Counter import jieba #分割汉字 t=jieba.cut(text) return Counter(t).most_common(100) def stats_text(text): #参数类型检查 if not isinstance(text,(str)): raise TypeError('ValueError') return stats_text_cn(text)+stats_text_en(text)

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saicharith15/ImageNet-Classification-

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from keras.preprocessing.image import ImageDataGenerator import cv2 import os import glob import numpy as np import copy import sys cv_img = [] count = 0 for img in glob.glob(".\images/tiger\*.jpg"): n= cv2.imread(img) cv_img.append(n) count += 1 if count > 149: break print('Length Images:', len(cv_img)) # cv_img = np.array(cv_img) # cv_img = np.reshape(cv_img, (len(cv_img), 224, 224, 3)) def flip_horizontally(image): """This function flips a given image vertically.""" vertically_flipped_image = copy.deepcopy(image) center = int(len(image[0]) / 2) for i, row in enumerate(image): for j in range(center): vertically_flipped_image[i][j] = image[i][(len(image[0]) - 1) - j] vertically_flipped_image[i][(len(image[0]) - 1) - j] = image[i][j] return vertically_flipped_image i = 851 for image in cv_img: horizontally_flipped_img = flip_horizontally(image) cv2.imwrite(f'{i}.jpg', horizontally_flipped_img) i += 1 # # I plan of having these commented lines of code in a separate file. This generates the augmented images. # # Data Augmentation. # datagen = ImageDataGenerator( # featurewise_center=False, # featurewise_std_normalization=False, # rotation_range=20, # width_shift_range=0.2, # height_shift_range=0.2, # horizontal_flip=True # ) # # image_gen = datagen.flow(cv_img, batch_size=1, save_to_dir='./dining_table_augmented', # save_prefix='image', save_format='jpg') # # total = 0 # for image in image_gen: # total += 1 # if total == 74: # break

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/PythonCookbook/<3>数字日期和时间/14-找出当月的日期范围.py

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''' ''' from datetime import datetime, date, timedelta import calendar def get_month_range(start_date=None): if start_date is None: start_date = date.today().replace(day=1) _, days_in_month = calendar.monthrange(start_date.year, start_date.month) end_date = start_date + timedelta(days=days_in_month) return (start_date, end_date) a_day = timedelta(days=1) first_day, last_day = get_month_range() while first_day < last_day: print(first_day) first_day += a_day

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oygx210/computational-fluid-dynamics

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__author__ = "Omar Kahol" __email__ = "omar.kahol@skywarder.eu" __description__ = "simulation setup" #imports import pythonCode.meshClasses.cfmesh as cfmesh import pythonCode.meshClasses.snappyhexmesh as snappy from pythonCode.meshClasses.point import point import pythonCode.meshClasses.dynamicMesh as dynamicMesh #simulation batch name simulationName = "simulazione0.7" # -------------------------------------------------------------------------------------------- # MESHING PART # This utility will "automatically" create the mesh # Note, not all meshing can be done automatically. Please setup the template files properly # -------------------------------------------------------------------------------------------- meshToUse = "snappy" #set it to cfmesh or snappy #-------------------------------------------------CFMESH CONFIGURATION------------------------------------------------------------------------------------------------------------- cfmeshConfiguration = cfmesh.cfmeshConfiguration() cfmeshConfiguration.domainCellSize = 0.3 #cellSize of the domain cfmeshConfiguration.rocketCellSize = 0.01 #cellSize near the rocket cfmeshConfiguration.boundaryLayers = 1 #add boundaryLayers cfmeshConfiguration.thicknessRatio = 1.3 #thickness ratio cfmeshConfiguration.maxFirstlayerThickness = 0.00001 #maximum allowable thickness of the first layer cfmeshConfiguration.refinementZones = [ # cfmeshRefinement(NAME, CELLSIZE, POINT1, POINT2, RADIUS1, RADIUS2) ==> create a refinement zone shaped like a cone cfmesh.cfmeshRefinement("wake_superfine", 0.002, point(0.98, 0, 0), point(1.2, 0, 0), 0.05, 0.0692), cfmesh.cfmeshRefinement("wake_fine", 0.03, point(-1.4, 0, 0), point(2.5, 0, 0), 0.02, 0.541), cfmesh.cfmeshRefinement("wake_medium", 0.06, point(2.5, 0, 0), point(5, 0, 0), 0.76, 1.02), cfmesh.cfmeshRefinement("wake_coarse", 0.09, point(5, 0, 0), point(8, 0, 0), 0.76, 1.02), cfmesh.cfmeshRefinement("ogive_far", 0.06, point(-1.5, 0, 0), point(0.2, 0, 0), 0.7, 0.848), cfmesh.cfmeshRefinement("ogive_area", 0.01, point(-0.6, 0, 0), point(-1.5, 0, 0), 0.15, 0.15), cfmesh.cfmeshRefinement("ogive_narrow", 0.005, point(-1.02, 0, 0), point(-0.6, 0, 0), 0.03, 0.07), cfmesh.cfmeshRefinement("winglet_zone", 0.01, point(0.8, 0, 0), point(1.5, 0, 0), 0.15, 0.21) ] #-------------------------------------------------SNAPPY HEX MESH CONFIGURATION----------------------------------------------------------------------------------------------------- snappyConfiguration = snappy.snappyConfiguration() snappyConfiguration.featureExtractLevel = 8 #refinement precision for feature extraction snappyConfiguration.rocketRefineLevel = snappy.refinementLevel(7,7) #rocket feature refinement level, specify min and max level snappyConfiguration.boundaryLayers = 10 #define number of boundary layers snappyConfiguration.boundaryControl = snappy.boundaryControl() #add a boundary control snappyConfiguration.boundaryControl.setFirstLayerThickness(2.0e-5) snappyConfiguration.boundaryControl.setTotalThickness(1.5e-3) snappyConfiguration.refinementZones = [ snappy.snappyRefinement("wake_coarse", snappy.refinementLevel(2,3), point(-1.4, 0, 0), point(8,0,0), 0.4), snappy.snappyRefinement("ogive", snappy.refinementLevel(4,5), point(-1.1, 0, 0), point(-0.55,0,0), 0.15), snappy.snappyRefinement("winglet", snappy.refinementLevel(6,7), point(0.85, 0, 0), point(1.05,0,0), 0.15), snappy.snappyRefinement("wake_near_1", snappy.refinementLevel(6,7), point(1.0, 0, 0), point(1.2,0,0), 0.075), snappy.snappyRefinement("wake_near_2", snappy.refinementLevel(5,6), point(0.95, 0, 0), point(1.5,0,0), 0.1), snappy.snappyRefinement("wake_near_3", snappy.refinementLevel(4,5), point(0.8, 0, 0), point(2.5,0,0), 0.15) ] # ------------------------------------------------------------------------------- #-------------------------------------------------DYNAMIC MESH CONFIGURATION----------------------------------------------------------------------------------------------------- activateDynamicMesh = False dynamicMeshConfiguration = dynamicMesh.dynamicMeshConfiguration() dynamicMeshConfiguration.refineInterval = 100 dynamicMeshConfiguration.refineField = "nut" dynamicMeshConfiguration.lowerRefineLevel = 0.00001 dynamicMeshConfiguration.upperRefineLevel = 0.5 dynamicMeshConfiguration.unrefineLevel = 0.000001 dynamicMeshConfiguration.maxRefinement = 4 dynamicMeshConfiguration.maxCells = 4000000 # ------------------------------------------------------------------------------- #-------------------------------------------------SIMULATIONS-------------------------------------------------------------------------------------------- numberOfProcessors = 10 renumberMesh = True type = "transient" #set to steady or transient alfa = 0 beta = 0 mach = 0.70 alt = 0.0

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ninjay997/ProtonMail-Account-Creator

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# 🚀 This Project is in it's early stages of Development. # 📌 Working on new features and main menu. # ⚠️ Any Questions or Suggestions please Mail to: hendriksdevmail@gmail.com # 🖥 Version: 1.0.0 from selenium import webdriver from colorama import Fore, Back, Style import warnings import time import random import string import urllib.request import requests import csv import sys from proxyscrape import create_collector import os clear = lambda: os.system('clear') clear() collector = create_collector('my-collector', 'https') print ('\033[31m' + """\ ____ __ __ ___ _ __ / __ \_________ / /_____ ____ / |/ /___ _(_) / / /_/ / ___/ __ \/ __/ __ \/ __ \/ /|_/ / __ `/ / / / ____/ / / /_/ / /_/ /_/ / / / / / / / /_/ / / / /_/ /_/ \____/\__/\____/_/ /_/_/ /_/\__,_/_/_/ ___ __ / | ______________ __ ______ / /_ / /| |/ ___/ ___/ __ \/ / / / __ \/ __/ / ___ / /__/ /__/ /_/ / /_/ / / / / /_ /_/ |_\___/\___/\____/\__,_/_/ /_/\__/ ______ __ / ____/_______ ____ _/ /_____ _____ / / / ___/ _ \/ __ `/ __/ __ \/ ___/ / /___/ / / __/ /_/ / /_/ /_/ / / \____/_/ \___/\__,_/\__/\____/_/ """ + '\033[0m') print ('\033[31m' + "Auto Password Changer Script" + '\033[0m') restart = 2 while (restart > 1): emailaddress = input('\033[31m' + "Enter Email Address: " + '\033[0m') password = input('\033[31m' + "Enter Password: " + '\033[0m') newpassword = input('\033[31m' + "Enter New Password: " + '\033[0m') proxy_status = "false" while (proxy_status == "false"): # Retrieve only 'us' proxies proxygrab = collector.get_proxy({'code': ('us', 'uk')}) proxy = ("{}:{}".format(proxygrab.host, proxygrab.port)) print ('\033[31m' + "Proxy:", proxy + '\033[0m') try: proxy_host = proxygrab.host proxy_port = proxygrab.port proxy_auth = ":" proxies = {'http':'http://{}@{}:{}/'.format(proxy_auth, proxy_host, proxy_port)} requests.get("http://example.org", proxies=proxies, timeout=1.5) except OSError: print ('\033[31m' + "Proxy Connection error!" + '\033[0m') time.sleep(1) sys.stdout.write("\033[F") sys.stdout.write("\033[K") sys.stdout.write("\033[F") sys.stdout.write("\033[K") proxy_status = "false" else: print ('\033[31m' + "Proxy is working..." + '\033[0m') time.sleep(1) sys.stdout.write("\033[F") sys.stdout.write("\033[K") sys.stdout.write("\033[F") sys.stdout.write("\033[K") proxy_status = "true" else: from selenium.webdriver.chrome.options import Options warnings.filterwarnings("ignore", category=DeprecationWarning) options = Options() options.add_argument('--proxy-server={}'.format(proxy)) # Change Path to Chrome Driver Path (or move your ChromeDriver into the project folder) driver = webdriver.Chrome(executable_path='/Users/hendrik/Development/ProtonMail-Account-Creator/driver/chromedriver', chrome_options=options) url = 'http://mail.protonmail.com/login' driver.get(url) time.sleep(4) driver.find_element_by_id('username').send_keys(emailaddress) time.sleep(1) driver.find_element_by_id('password').send_keys(password) time.sleep(1) driver.find_element_by_id('login_btn').click() time.sleep(3) driver.find_element_by_id('tour-settings').click() time.sleep(3) driver.find_elements_by_css_selector('html.protonmail.gr__mail_protonmail_com.ua-gecko.ua-gecko-70.ua-gecko-70-0.ua-firefox.ua-firefox-70.ua-firefox-70-0.ua-desktop.ua-desktop-macintosh.ua-mac_os_x.ua-mac_os_x-10.ua-mac_os_x-10-14.js body#secured-account.appConfigBody-is-firefox.appConfigBody-is-mac.secure.appConfigBody-is-free div#body div#pm_main div#pm_settings div.settings div.row.pm_grid section.pm_form.col-1-2 p button.pm_button').click() complete = "false" while (complete == "false"): complete_q = input('\033[31m' + "Are you done? y/n: " + '\033[0m') if complete_q == "y": driver.close() print ('\033[31m' + "Ok! The script is exiting now." + '\033[0m') time.sleep(1) clear() exit() else: print ('\033[31m' + 'Ok. Take your time.' + '\033[0m') time.sleep(1) complete = "false" else: print("something")

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hendrik@whalar.com

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QIAOZHIBAO0104/My-Leetcode-Records

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''' https://leetcode.com/problems/maximum-product-subarray/ Given an integer array nums, find the contiguous subarray within an array (containing at least one number) which has the largest product. Example 1: Input: [2,3,-2,4] Output: 6 Explanation: [2,3] has the largest product 6. Example 2: Input: [-2,0,-1] Output: 0 Explanation: The result cannot be 2, because [-2,-1] is not a subarray. ''' ''' Time:O(n**2) Space:O(1) ''' class Solution(object): def maxProduct(self, nums): """ :type nums: List[int] :rtype: int """ if len(nums)==0: return 0 res = nums[0] for i in range(len(nums)): acc = 1 for j in range(i,len(nums)): acc = acc * nums[j] res = max(res, acc) return res ''' Time:O(n) Space:O(1) ''' class Solution(object): def maxProduct(self, nums): if len(nums) == 0: return 0 mx, mn = nums[0], nums[0] res = mx for i in range(1, len(nums)): cur = nums[i] mx_tmp = max(cur, mx*cur, mn*cur) mn = min(cur, mx*cur, mn*cur) mx = mx_tmp res = max(res, mx) return res

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#!/usr/bin/env python import cv2 import numpy as np import os from scipy import misc image1 = os.getcwd() + '/Imgs/cat.jpg' image2 = os.getcwd() + '/Imgs/baby.jpg' s,z = 500, 500 Cat = cv2.imread(image1,0) Cat = cv2.resize(Cat, (s,z)) fcat = np.fft.fft2(Cat) fscat = np.fft.fftshift(fcat) Baby = cv2.imread(image2,0) Baby = cv2.resize(Baby, (s,z)) fbaby = np.fft.fft2(Baby) fsbaby = np.fft.fftshift(fbaby) a = 2 x,y = Cat.shape crow,ccol = x/2 , y/2 fscat[crow-a:crow+a, ccol-a:ccol+a] = 0 b = 15 m = np.zeros((x,y)) m[crow-b:crow+b, ccol-b:ccol+b] = 1 fsbaby = fsbaby*m f_iscat = np.fft.ifftshift(fscat) img_cat = np.fft.ifft2(f_iscat) img_cat = np.abs(img_cat) f_isbaby = np.fft.ifftshift(fsbaby) img_baby = np.fft.ifft2(f_isbaby) img_baby = np.abs(img_baby) Hybrid = img_baby + img_cat misc.imsave('hybrid_fft2.png', Hybrid) I = cv2.resize(Hybrid, (200,200)) I1 = cv2.resize(cv2.pyrDown(I), (200,200)) I2 = cv2.resize(cv2.pyrDown(I1), (200,200)) I3 = cv2.resize(cv2.pyrDown(I2), (200,200)) I4 = cv2.resize(cv2.pyrDown(I3), (200,200)) f = np.concatenate((I,I1,I2,I3,I4),axis=1) misc.imsave('Pyramid_fft2.png', f)

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#!/usr/bin/env python #coding=utf-8 import sys from flask import Flask app = Flask(__name__) @app.route('/') def index(): return 'hello sample' def get_host_ip(): if len(sys.argv) > 1: host_ip = sys.argv[1] host_ips = host_ip.split(':') if len(host_ips) == 2: host, port = host_ips else: if ':' in host_ip: host = '127.0.0.1' port = int(host_ips[0]) else: host = host_ips[0] port = 5000 return host, port else: return '127.0.0.1', 5000 if __name__ == '__main__': host, port = get_host_ip() app.run(host=host, port=port)

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niklasadams/explainable_concept_drift_pm

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import logging def empty_log(log): '''Returns bool if log is empty''' if len(log) == 0: logging.debug("empty_log") return True else: return False def single_activity(log, activity_key): '''Returns bool if log consists of single activity only''' if log: if len(log[0]) >= 1: first_activity = log[0][0][activity_key] for i in range(0, len(log)): if len(log[i]) != 1 or log[i][0][activity_key] != first_activity: return False # if there is a trace that has a length not equal to 1, we return false # check if all traces consist of the same activity, therefore create dfg from log and get activities of that dfg logging_output = "single_activity: " + str(first_activity) logging.debug(logging_output) return True else: return False else: return False

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from robotic_arm.recognition.base import ImageRecognitionService import logging import numpy as np from robotic_arm.input.camera import get_frame from datetime import datetime class FaceRecognitionService(ImageRecognitionService): def __init__(self): ImageRecognitionService.__init__(self, 'face-recognition') self.logger = logging.getLogger('face-recognition-facerec') self.service = None self.process_this_frame = True def load(self): self.service = __import__("face_recognition") known_face_encodings = [] known_face_names = [] def recognize(self, frame): if self.process_this_frame: # Find all the faces and face encodings in the current frame of video face_locations = self.service.face_locations(frame) face_encodings = self.service.face_encodings(frame, face_locations) face_names = [] for face_encoding in face_encodings: # See if the face is a match for the known face(s) matches = self.service.compare_faces(self.known_face_encodings, face_encoding) name = "Unknown" # # If a match was found in known_face_encodings, just use the first one. # if True in matches: # first_match_index = matches.index(True) # name = known_face_names[first_match_index] # Or instead, use the known face with the smallest distance to the new face face_distances = self.service.face_distance(self.known_face_encodings, face_encoding) best_match_index = np.argmin(face_distances) if matches[best_match_index]: name = self.known_face_names[best_match_index] face_names.append(name) self.process_this_frame = not self.process_this_frame return face_names, face_locations, face_encodings self.process_this_frame = not self.process_this_frame def real_work(self): result = self.recognize(get_frame()) if result is not None: self.output_queue.put(result)

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # Использовать словарь, содержащий следующие ключи: название пункта назначения; номер # поезда; время отправления. Написать программу, выполняющую следующие действия: # ввод с клавиатуры данных в список, состоящий из словарей заданной структуры; записи должны # быть упорядочены по номерам поездов; # вывод на экран информации о поезде, номер которого введен с клавиатуры; если таких поездов нет, # выдать на дисплей соответствующее сообщение. import sys import json def add(trains, name, num, time): train = { 'name': name, 'num': num, 'time': time, } trains.append(train) if len(trains) > 1: trains.sort(key=lambda item: item.get('num', '')) def list(trains): line = '+-{}-+-{}-+-{}-+-{}-+'.format( '-' * 4, '-' * 30, '-' * 20, '-' * 17 ) print(line) print( '| {:^4} | {:^30} | {:^20} | {:^17} |'.format( "№", "Пункт назначения", "Номер поезда", "Время отправления" ) ) print(line) for idx, train in enumerate(trains, 1): print( '| {:>4} | {:<30} | {:<20} | {:>17} |'.format( idx, train.get('name', ''), train.get('num', ''), train.get('time', 0) ) ) print(line) def select(trains): count = 0 for train in trains: if train.get('num') == number: count += 1 print('Номер поезда:', train.get('num', '')) print('Пункт назначения:', train.get('name', '')) print('Время отправления:', train.get('time', '')) if count == 0: print("Таких поездов нет!") if __name__ == '__main__': trains = [] while True: command = input(">>> ").lower() if command == 'exit': break elif command == 'add': name = input("Название пункта назначения: ") num = int(input("Номер поезда: ")) time = input("Время отправления: ") add(trains, name, num, time) elif command == 'list': print(list(trains)) elif command.startswith('select '): parts = command.split(' ', maxsplit=2) number = int(parts[1]) select(trains) elif command == 'help': print("Список команд:\n") print("add - добавить поезд;") print("list - вывести список поездов;") print("select <номер поезда> - запросить информацию о выбранном поезде;") print("help - отобразить справку;") print("exit - завершить работу с программой.") else: print(f"Неизвестная команда {command}", file=sys.stderr)

[ "ar200103zeranov@yandex.ru" ]

ar200103zeranov@yandex.ru

d4520d5f769f14642e5d090a5bb8e3b12d5ed2af

a2ceca8af01ef1b33c10f015e0ea84677ea411b7

/myfirstproject/settings.py

1a2a7ba052171e693233dd51cac4e474c987a311

[]

no_license

alzol1/myfirstproject-root

b0f6dd9d470ec97cc5cefeb2ea4d5be1dbe65162

9c7523e7eba498ccc6f413aafce855a12313ad81

refs/heads/master

2022-12-23T23:37:49.296560

2020-09-22T07:31:03

297,360,456

0

null

UTF-8

Python

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3,097

py

""" Django settings for myfirstproject project. Generated by 'django-admin startproject' using Django 3.1.1. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '1gc8gq@!mjx!19-aqj7r5t%p$w+(6-v)!rirayl&6r*dc#*ews' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'myfirstproject.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': ['templates'], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'myfirstproject.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': BASE_DIR / 'db.sqlite3', } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/'

[ "55974898+alzol1@users.noreply.github.com" ]

55974898+alzol1@users.noreply.github.com

f68e302debebc088152347cebcb5c94201df4492

5795e731efade5a3754f5973015206d42567142b

/mylists/listapp/migrations/0009_auto__add_field_link_read.py

9a7b362c29dc15b9cbeeaaa13d1c612f176d6345

[]

no_license

joaopimentel/mylists

c9f0a7ccd24d1615bfc2178062f4289a1229ec90

31cdadf28176cfb2f6906c72fd85dcf4d3ebf27f

refs/heads/master

2021-01-20T12:41:39.757084

2013-02-12T22:42:14

null

0

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py

# -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding field 'Link.read' db.add_column('listapp_link', 'read', self.gf('django.db.models.fields.BooleanField')(default=False), keep_default=False) def backwards(self, orm): # Deleting field 'Link.read' db.delete_column('listapp_link', 'read') models = { 'auth.group': { 'Meta': {'object_name': 'Group'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, 'auth.permission': { 'Meta': {'ordering': "('content_type__app_label', 'content_type__model', 'codename')", 'unique_together': "(('content_type', 'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['contenttypes.ContentType']"}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, 'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Group']", 'symmetrical': 'False', 'blank': 'True'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, 'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, 'listapp.category': { 'Meta': {'object_name': 'Category'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '63'}), 'tag': ('django.db.models.fields.SlugField', [], {'unique': 'True', 'max_length': '50'}) }, 'listapp.link': { 'Meta': {'object_name': 'Link'}, 'category': ('django.db.models.fields.related.ManyToManyField', [], {'to': "orm['listapp.Category']", 'symmetrical': 'False', 'blank': 'True'}), 'comment': ('django.db.models.fields.CharField', [], {'default': "''", 'max_length': '2000', 'null': 'True', 'blank': 'True'}), 'date_added': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'read': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'url': ('django.db.models.fields.CharField', [], {'max_length': '2000'}), 'user': ('django.db.models.fields.related.ForeignKey', [], {'to': "orm['auth.User']"}) }, 'listapp.userprofile': { 'Meta': {'object_name': 'UserProfile'}, 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'mailbox': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['mailfetcher.MailBox']", 'unique': 'True'}), 'user': ('django.db.models.fields.related.OneToOneField', [], {'to': "orm['auth.User']", 'unique': 'True'}) }, 'mailfetcher.mailbox': { 'Meta': {'object_name': 'MailBox'}, 'host': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '255'}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '255'}) } } complete_apps = ['listapp']

[ "mail@joaopimentel.net" ]

mail@joaopimentel.net