Examples
The examples below were mostly pulled out from working code. View the source of each, to see how they work:
- Basic Formset (Table layout)
- Basic Formset (DIV layout)
- Inline Formset
- Inline Formset (using jQuery Autocomplete) {% comment %}
- Inline Formset (using Django Ajax Selects) {% endcomment %}
- Basic Formset with Admin Widget
- Multiple formsets on the same page
- Formset with `extra = 0` (pre Django 1.2)
- Formset with `extra = 0` (Django 1.2+)
- Limit allowed forms {% url 'example_min_forms' as url_min_forms%} {%if url_min_forms%}
- Require minimum forms {%endif%}


Apvoe01 Ver 1 01 ダウンロード Voice Editor ソフトウェア お客様サポート Panasonic
Digital Voice Editor ダウンロード することが可能で保存のメッセージに記録されてsony Icレコーダーをpcます
Sony Digital Voice Editor ダウンロード 設計の輸入からのメッセージをsony Icレコーダーです
Sony Ic Recorder Digital Voice Editor With Icd P Series Support Ver 3 1 03 Cd Rom 2008 Sony Free Download Borrow And Streaming Internet Archive
Digital Voice Editor Ver 3 2 01 For Windows Vista Xp 2000 Sony Th
Voice Changer Voice Editor 20 Effects Apps On Google Play
Expansion Voice Editor Full Version Liquidcelestial
Voice Editing Installation Procedure Download Digital Av Software Digital Av Support Panasonic Global
Tyros4 How To Create Custom Drum Voice Editor Youtube
Super Voice Editor Effect For Changer Recorder For Android Apk Download
All In One Voice Changer 1 5 Download For Pc Free
Voice Changer Voice Recorder Editor Effect For Android Apk Download
Voice Changer Apk 1 1 3 Download Free Apk From Apksum
Voice Changer Software
Voice Changer Voice Recorder Editor With Effects Apk 1 1 3 Download For Android Download Voice Changer Voice Recorder Editor With Effects Apk Latest Version Apkfab Com
Audio Voice Changer For Android Apk Download
Super Voice Editor Effect For Changer Recorder 1 0 6 Download Android Apk Aptoide
Hx 1 Voice Editor
Novation X Station Voice Editor Ctrlr
Voice Changer With Voice Editor Effect For Android Apk Download
Super Voice Editor Effect For Changer Recorder 1 1 Download Android Apk Aptoide
Text Editor Through Voice Editor Window 5 1 Dictionary This Is Download Scientific Diagram
Download Funny Voice Changer Voice Editor Voice Effects Apk For Samsung I997 Infuse 4g
Voice Pro Apk Hq Audio Editor V3 3 29 Download The Voice Audio Image Apps
Download Free Apk Expansion Voice Editor Fasrreal
Voxal Voice Changer Tutorial Getting Started Youtube
13 Of The Best Free Audio Editors In 2021 Download Links Included


Component Descriptions
User Interface
Navigation Bar
Component responsible for the navigation throughout the website. Provides links to the Home, Login,
User registration and restaurant registration pages. It is present on all 4 of these pages and
redirects to the corresponding pages when clicked.
Landing Home Page
The first page the user will see when accessing the site. Provides information on the benefits of
the site for both users and restaurants. Also provides a button to navigate to the "About Us" for
more information.
Login Page
This page prompts users to enter their credentials to login to their account. This information is
retrieved through the login form component. This page needs to communicate to API for verification,
through the Login Form component which depends on the User Authentication component to successful
let a user log in.
User Registration Page
This page is for new customer users to sign up on the site. The information is collected through the
user registration form. This component needs to communicate with the API to store user’s information
into the database. This is done through the User Registration Form, which depends on the CRUD
Functions
for User Info component in the API.
Restaurant Registration Page
This page is for new restaurant owners to sign up their restaurants on the site, where the required
information is collected through the restaurant registration form. This component needs to
communicate with the API to store restaurant’s information into the database. This is done through
the Restaurant Registration Form, which depends on the CRUD Functions for User Info component in the
API.
User Dashboard
This page is the view the customer user sees after logging in on the site. This page shows users a
list of restaurants and lets them filter and search for restaurants. This component needs to
communicate to API to get the restaurant suggestions list for the user. The Restaurant Suggestions
list
component depends on both the Order History component and the CRUD Functions for Restaurant Info
from
the API to produce the list of suggestions.
Restaurant Dashboard
This page is the view the user sees after logging in as a restaurant. Here the most recent
restaurant analytics are displayed. The restaurant user can navigate to the Menu Page, Chef Page,
Restaurant Analytics and Edit Restaurant Info components from here. The Menu Page contains
the functionality to add, edit and delete items, thus depending on the CRUD Functions for Items
component. The remaining inner components of Restaurant Dashboard depend on the CRUD Functions for
Restaurant Info to display and edit the restaurant’s info.
Edit Restaurant Info Form
This form is for restaurant owners to edit information about their restaurant. The Edit Restaurant
Info
component depends on this to retrieve information from the user to send to the API.
Order Cart
This is a list of items from a restaurant’s menu, which contains the items a customer user is trying
to order. It should have checkout button and cancel order/item button.
Restaurant Page (User View)
This is the page that the user sees when they select a restaurant from their search results. It
includes the menu which is generated by the API reading the restaurants items from the database
through the CRUD Functions for Items Component. In this page, the user can also view the chef’s
pages which are generated by getting the information from the CRUD Functions for Restaurant Info
component.
Order History
This page shows the history of the orders a customer user has placed in the past. This component
needs to communicate to the API's CRUD Functions for User Info component in order to get the
order history.
Payment Form
This page is shown to the customer user once an order has been checked out. This lets the user
select an option to either pay by cash or pay by card.
Chef Page
This page shows a list of chefs in the database. This component needs to communicate to the API,
through
the CRUD Functions for Restaurant Info component in order to read chef data from the database.
Edit chef page form
This form is for chef users to edit information about themselves and add more dishes. This component
needs to communicate to API, through the CRUD Functions for Restaurant Info component to change the
information in the database.
Upload videos/pictures form
This form is for chef users to add pictures and videos to their profile. This component needs to
communicate to API, through the CRUD Functions for Restaurant Info component to edit information
in the database.
Menu Page
This page is shown once a customer user selects a restaurant to order food from. This component is
dependent on API' CRUD Functions for Items component to display the menu items for the restaurant.
Edit item form
This form is shown once a restaurant user selects to edit information in the menu of their
restaurant. This component is dependent on API's CRUD Functions for Items component to change
information in the database.
Add item form
This form is shown once a new restaurant user selects to add information in the menu of
their restaurant. This component is dependent on API's CRUD Functions for Items component
to add the item information to the database.
API
User Authentication
This authentication is for verifying user credentials (username, password). This is dependent on the
database's User Collection to verify information.
CRUD Functions for Items
This component is responsible to create,update and remove menu items for a restaurant. This
component makes changes in the database's Item Collection.
CRUD Functions for Restaurant info
This component is responsible to edit restaurant’s information. This component makes changes in the
database's Restaurant Users component.
CRUD Functions for User info
This component is responsible to edit user’s information. This component makes changes in the
database's User Collection.
Database
User Collection
This collection is for storing user’s information. The fields stored are determined by the role of
the user (customer or restaurant).
Menu Items Collection
This collection is for storing restaurant menus.


Alesha Popovich
Alesha Popovich - folklore collective image of the hero in the Russian epic epos. Alyosha Popovich, as the youngest, is one of the third most significant bogatyr three, together with Ilya Muromets and Dobrynia Nikitich. In Ukrainian thoughts, also referred to as Alexei Popovich.


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 116395maths/37649WiedijksBenchmark.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/116395-maths/topic/Wiedijk's.20.22Benchmark.22.html


Praestantia 2K16
Home
Events
Registrations
Sponsors
Praestantia Tech Blog
Organizers
SRI SAIRAM INSTITUTE OF TECHNOLOGY
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING
Praestantia 2K16
Events
Paper Presentation
Bot Race
Technical Connexions
Fanout Fantics
Be a Professor
Mission Impossible


Let's take the grammar previously developed for arithmetic expressions, and compile it to form a calculator program. The grammar is:
sum = gap expression end expression = term (plus term @2add / minus term @2subtract)* term = atom (times atom @2multiply / over atom @2divide)* atom = number / open expression close number = #integer digit+ @read gap plus = #operator '+' gap minus = #operator '-' gap times = #operator '*' gap over = #operator '/' gap open = #bracket '(' gap close = #bracket ')' gap digit = '0..9' gap = (' ')* @ end = #newline '\r'? '\n' @
We will illustrate with a program in C, but in principle the program could be created in almost any programming language. Here is a module in C to provide the parsing state and its supporting functions, together with two data files:
parser.h
parser.c
table1.bin
table2.bin
A program can be written to parse sums, described in detail below:
Suppose the grammar is stored in a file sum.txt
. It can be
compiled with:
pecan sum.txt -c sum.c
The program sum.c
is read in, a few lines are extracted from it
which specify how rules are to be compiled to C functions, and the compiled
functions are inserted into the program. The program can now be compiled with a
C compiler such as gcc
or clang
and run:
gcc -std=c18 -Wall -O3 -flto sum.c parse.c -o sum ./sum Type a sum: 2+3*4 14
The -std=c18
option specifies the 2018 standard for the C
language. The -Wall
option switches on all common compiler
warnings. The -O3
option (with a capital letter O) asks for a good
level of optimisation. The -flto
option enables link time
optimisation, which allows the small functions in parse.c
to be
inlined into the compiled functions in sum.c
, so there is no loss
in defining the parser state in a separate module.
In this case, we have been a bit fortunate, because there are no name
clashes. In fact, the program contains three functions called open
,
close
and read
which could clash with standard C
library functions in some circumstances. Below, we will see how the generated
names can be adjusted to avoid name clashes.
The program sum.c
begins with:
// Error marker constants, and spellings. enum marker { integer, operator, bracket, newline }; char *names[] = { "integer", "operator", "bracket", "newline" };
These are enumerated constants for each error marker mentioned in the
grammar, together with text to be printed for each constant. Their names must
match the marker names in the grammar, so that they can be referenced from the
compiled functions. The order of the constants in this definition determines the
order in which the items are listed in error messages. The support module
parse.c
assumes that the constants are in the range
0..63
so that a long integer can be used to store the current
marker bits. The next part of the program is:
int read(char *s, int start, int end) { ... } int add(int x, int y) { return x + y; } int subtract(int x, int y) { return x - y; } int multiply(int x, int y) { return x * y; } int divide(int x, int y) { return x / y; }
These are the action functions, either creating an output item from text, or constructing one from previous output items. Their names should match the action names in the grammar. The next part of the program is:
bool sum(parser *p);
This is a forward declaration of the first compiled function, which acts as an entry point for parsing. The main function comes next:
int main() { char in[100]; printf("Type a sum: "); char *r = fgets(in, 100, stdin); if (r == NULL) printf("Can't read stdin\n"); parser *p = newParser(strlen(in), in); bool ok = sum(p); if (ok) printf("%ld\n", topI(p,0)); else report(p, "Syntax error:\n", "Error: expecting %s, %s\n", names); freeParser(p); }
This reads an arithmetic expression from the user, creates a parser
structure, and calls the sum
function. After parsing, the
topI
function extracts the top integer from the stack, i.e. the
result. There is a call to the support function report
to print a
suitable error message if parsing fails. The final part of the program is:
// <pecan // comment = "// %s" // declare = "bool %s(parser *p);" // define = "bool %s(parser *p) { %n return %r; %n}" // call = "%s(p)" // act0 = "pushI(p,0,%s(text(p),start(p),at(p)))" // act2 = "pushI(p,2,%s(topI(p,1),topI(p,0)))" // escape1 = "\%3o" // escape2 = "\u%4x" // escape4 = "\U%8x" // > // </pecan>. End of generated functions.
When a grammar is compiled, the generated functions are inserted between the
<pecan>
and </pecan>
tags. The tags have a
similar style to HTML and are commented out using C comments. Any text already
present between the tags is deleted. That means compiling can be repeated as
necessary. The <pecan>
tag contains attributes. These define
print formats that are used to generate the parsing functions from the grammar
rules.
The attributes shown here establish the C conventions for one-line comments,
forward declarations of functions allowing them to be recursive, definitions of
functions, and calls to functions. The act0
and act2
attributes cover the compilation of actions for the calculator, using support
functions to deal with the changes to the parser state such as stack handling,
and calling the action functions. The support functions allow the hand-written
action functions to consist of pure manipulation of output values. The escape
attributes specify how control characters or Unicode characters appear in the
generated functions. Note that escape1
is not defined as
\x%2x
because in C a \x
escape is variable-length with
no terminator, so can be damaged by a following digit.
Suppose the attributes were changed to:
// <pecan // comment = "// %s" // declare = "bool P%s(parser *p);" // define = "bool P%s(parser *p) { %n return %r; %n}" // call = "%s(p)" // id = "P%s(p)" // act0 = "pushI(p,0,A%s(text(p),start(p),at(p)))" // act2 = "pushI(p,2,A%s(topI(p,1),topI(p,0)))" // tag = "tag(p,T%s)" // mark = "mark(p,M%s)" // escape1 = "\%3o" // escape2 = "\u%4x" // escape4 = "\U%8x" // >
These changes would mean that the names of all generated parsing functions
would be prefixed by P
, all action function names by
A
, all tag names by T
, all error marker names by
M
, thus guarding against any possible name clash, either between
the different types of name, or between the names and language keywords or
library functions.
The data files table1.bin
and table2.bin
can be
used in any programming language to form a two-stage table for looking up the
Unicode category of a character. They are only needed if Unicode categories are
mentioned in the grammar. They currently support Unicode version 12.0, and can
be used in languages with no suitable Unicode support or to make the Unicode
version recognised by the compiled parser independent of the version provided by
the target programming language. The files are used by reading them into byte
arrays in memory, and then looking up the category of an integer character code
ch
using one of:
table2[table1[ch>>8]*256+(ch&255)]; table2[(table1[ch>>8]&255)*256+(ch&255)];
The first version is for languages which support unsigned bytes, and the
second is for languages which only support signed bytes. The category
enumeration in the parse.h
header defines the categories in
alphabetical order, which is the order used in these tables.


--- layout: 'interior-page' title: 'Board of Health' grandparent: 'Borough Clerk' parent: 'Minutes and Agendas' ---


--- layout: post title: Episode 092 | Eileen Uchitelle - Facing Fear link: http://traffic.libsyn.com/developeronfire/DeveloperOnFire-92-EileenUchitelle.mp3 length: 41943040 speaker: Dave Rael duration: '44:02' subtitle: 'Developer On Fire: Eileen Uchitelle' guest_name: Eileen Uchitelle image: /assets/images/EileenUchitelle.jpg guest_blog: http://eileencodes.com/ guest_twitter: eileencodes disqus_url: http://developeronfire.com/Podcast/Episodes/eileen-uchitelle-facing-fear episode_number: 92 book_recommendations: - { url: "http://www.amazon.com/dp/1593273886/?tag=devonfir-20", title: "The Tangled Web: A Guide to Securing Modern Web Applications", author: "Michal Zalewski"} tags: - { url: "http://www.amazon.com/dp/1593273886/?tag=devonfir-20", title: "The Tangled Web: A Guide to Securing Modern Web Applications", author: "Michal Zalewski"} redirect_from: - "/92/" - "/092/" - "/0092/" - "/eileen-uchitelle-facing-fear/" - "/Eileen-Uchitelle/" - "/EileenUchitelle/" - "/Podcast/Episodes/92/" - "/Podcast/Episodes/092/" - "/Podcast/Episodes/0092/" - "/Podcast/Episodes/eileen-uchitelle-facing-fear/" - "/Podcast/Episodes/Eileen-Uchitelle/" - "/Podcast/Episodes/EileenUchitelle/" guid: http://developeronfire.com:80/Podcast/Episodes/eileen-uchitelle-facing-fear ---
Eileen M. Uchitelle spends her days working on performance and security at Basecamp; or as you probably know it better, the place Ruby on Rails was born. She accidentally started contributing to open source after giving a talk on some problems with Active Record. Aaron Patterson was there and told her “fix it yourself” (not really). When she’s not making your life easier by improving Active Record, Eileen enjoys craft beer and hiking in the Hudson Valley with her husband and their dog.


Overview of protein–protein interactions between the ASFV and swine. (A) Collected protein–protein interactions between ASFV and swine proteins. AIP, ASFV-interacting swine proteins. (B) All the ASFV proteins involved in protein–protein interactions and the number of interacted swine proteins. PPI, protein–protein interaction.


| I l@ve RuBoard |
18.4 Regular Expression MatchingSplitting and joining strings is a simple way to process text, as long as it follows the format you expect. For more general text analysis tasks, Python provides regular expression matching utilities. Regular expressions (REs) are simply strings that define patterns to be matched against other strings. You supply a pattern and a string, and ask if the string matches your pattern. After a match, parts of the string matched by parts of the pattern are made available to your script. That is, matches not only give a yes/no answer, but they can pick out substrings as well. Regular expression pattern strings can be complicated (let's be honest -- they can be downright gross to look at). But once you get the hang of them, they can replace larger hand-coded string search routines. In Python, regular expressions are not part of the syntax of the Python language itself, but are supported by extension modules that you must import to use. The modules define functions for compiling pattern strings into pattern objects, matching these objects against strings, and fetching matched substrings after a match. Beyond those generalities, Python's regular expression story is complicated a little by history:
Up until very recently, re was generally slower than regex, so you had to choose between speed and Perl-like RE syntax. Today, though, re has been optimized with the sre implementation, to the extent that regex no longer offers any clear advantages. Moreover, re in Python 2.0 now supports matching Unicode strings (strings with 16-bit wide characters for representing large character sets). Because of this migration, I've recoded RE examples in this text to use the new re module instead of regex. The old regex-based versions are still available on the book's CD (see http://examples.oreilly.com/python2), in directory PP2E\lang\old-regex. If you find yourself having to migrate old regex code, you can also find a document describing the translation steps needed at http://www.python.org. Both modules' interfaces are similar, but re introduces a match object and changes pattern syntax in minor ways. Having said that, I also want to warn you that REs are a complex topic that cannot be covered in depth here. If this area sparks your interest, the text Mastering Regular Expressions from O'Reilly is a good next step to take. 18.4.1 Using the re ModuleThe Python re module comes with functions that can search for patterns right away or make compiled pattern objects for running matches later. Pattern objects (and module search calls) in turn generate match objects, which contain information about successful matches and matched substrings. The next few sections describe the module's interfaces and some of the operators you can use to code patterns. <IP_ADDRESS> Module functionsThe top level of the module provides functions for matching, substitution, pre-compiling, and so on:
<IP_ADDRESS> Compiled pattern objectsAt the next level, pattern objects provide similar attributes, but the pattern string is implied. The re.compile function in the previous section is useful to optimize patterns that may be matched more than once (compiled patterns match faster). Pattern objects returned by re.compile have these sorts of attributes:
<IP_ADDRESS> Match objectsFinally, when a match or search function or method is successful, you get back a match object (None comes back on failed matches). Match objects export a set of attributes of their own, including:
<IP_ADDRESS> Regular expression patternsRegular expression strings are built up by concatenating single-character regular expression forms, shown in Table 18-1. The longest-matching string is usually matched by each form, except for the non-greedy operators. In the table, R means any regular expression form, C is a character, and N denotes a digit.
Within patterns, ranges and selections can be combined. For instance, [a-zA-Z0-9_]+ matches the longest possible string of one or more letters, digits, or underscores. Special characters can be escaped as usual in Python strings: [\t ]* matches zero or more tabs and spaces (i.e., it skips whitespace). The parenthesized grouping construct, (R), lets you extract matched substrings after a successful match. The portion of the string matched by the expression in parentheses is retained in a numbered register. It's available through the group method of a match object after a successful match. In addition to the entries in this table, special sequences in Table 18-2 can be used in patterns, too. Due to Python string rules, you sometimes must double up on backslashes (\\) or use Python raw strings (r'...') to retain backslashes in the pattern.
The Python library manual gives additional details. But to demonstrate how the re interfaces are typically used, we'll turn to some short examples. 18.4.2 Basic PatternsTo illustrate how to combine RE operators, let's start with a few short test files that match simple pattern forms. Comments in Example 18-3 describe the operations exercised; check Table 18-1 to see which operators are used in these patterns. Example 18-3. PP2E\lang\re-basics.py# literals, sets, ranges (all print 2 = offset where pattern found) import re # the one to use today pattern, string = "A.C.", "xxABCDxx" # nonspecial chars match themself matchobj = re.search(pattern, string) # '.' means any one char if matchobj: # search returns match object or None print matchobj.start( ) # start is index where matched pattobj = re.compile("A.*C.*") # 'R*' means zero or more Rs matchobj = pattobj.search("xxABCDxx") # compile returns pattern obj if matchobj: # patt.search returns match obj print matchobj.start( ) # selection sets print re.search(" *A.C[DE][D-F][^G-ZE]G\t+ ?", "..ABCDEFG\t..").start( ) # alternatives print re.search("A|XB|YC|ZD", "..AYCD..").start( ) # R1|R2 means R1 or R2 # word boundaries print re.search(r"\bABCD", "..ABCD ").start( ) # \b means word boundary print re.search(r"ABCD\b", "..ABCD ").start( ) # use r'...' to escape '\' Notice that there are a variety of ways to kick off a match with re -- by calling module search functions and by making compiled pattern objects. In either event, you can hang on to the resulting match object or not. All the print statements in this script show a result of 2 -- the offset where the pattern was found in the string. In the first test, for example, "A.C." matches the "ABCD" at offset 2 in the search string (i.e., after the first "xx"): C:\...\PP2E\Lang>python re-basic.py 2 2 2 2 2 2 In Example 18-4, parts of the pattern strings enclosed in parentheses delimit groups ; the parts of the string they matched are available after the match. Example 18-4. PP2E\lang\re-groups.py# groups (extract substrings matched by REs in '( )' parts) import re patt = re.compile("A(.)B(.)C(.)") # saves 3 substrings mobj = patt.match("A0B1C2") # each '( )' is a group, 1..n print mobj.group(1), mobj.group(2), mobj.group(3) # group( ) gives substring patt = re.compile("A(.*)B(.*)C(.*)") # saves 3 substrings mobj = patt.match("A000B111C222") # groups( ) gives all groups print mobj.groups( ) print re.search("(A|X)(B|Y)(C|Z)D", "..AYCD..").groups( ) patt = re.compile(r"[\t ]*#\s*define\s*([a-z0-9_]*)\s*(.*)") mobj = patt.search(" # define spam 1 + 2 + 3") # parts of C #define print mobj.groups( ) # \s is whitespace In the first test here, for instance, the three (.) groups each match a single character, but retain the character matched; calling group pulls out the bits matched. The second test's (.*) groups match and retain any number of characters. The last test here matches C #define lines; more on this later. C:\...\PP2E\Lang>python re-groups.py 0 1 2 ('000', '111', '222') ('A', 'Y', 'C') ('spam', '1 + 2 + 3') Finally, besides matches and substring extraction, re also includes tools for string replacement or substitution (see Example 18-5). Example 18-5. PP2E\lang\re-subst.py# substitutions (replace occurrences of patt with repl in string) import re print re.sub('[ABC]', '*', 'XAXAXBXBXCXC') print re.sub('[ABC]_', '*', 'XA-XA_XB-XB_XC-XC_') In the first test, all characters in the set are replaced; in the second, they must be followed by an underscore: C:\...\PP2E\Lang>python re-subst.py X*X*X*X*X*X* XA-X*XB-X*XC-X* 18.4.3 Scanning C Header Files for PatternsThe script in Example 18-6 puts these pattern operators to more practical use. It uses regular expressions to find #define and #include lines in C header files and extract their components. The generality of the patterns makes them detect a variety of line formats; pattern groups (the parts in parentheses) are used to extract matched substrings from a line after a match. Example 18-6. PP2E\Lang\cheader.py#! /usr/local/bin/python import sys, re from string import strip pattDefine = re.compile( # compile to pattobj '^#[\t ]*define[\t ]+([a-zA-Z0-9_]+)[\t ]*(.*)') # "# define xxx yyy..." pattInclude = re.compile( '^#[\t ]*include[\t ]+[<"]([a-zA-Z0-9_/\.]+)') # "# include <xxx>..." def scan(file): count = 0 while 1: # scan line-by-line line = file.readline( ) if not line: break count = count + 1 matchobj = pattDefine.match(line) # None if match fails if matchobj: name = matchobj.group(1) # substrings for (...) parts body = matchobj.group(2) print count, 'defined', name, '=', strip(body) continue matchobj = pattInclude.match(line) if matchobj: start, stop = matchobj.span(1) # start/stop indexes of (...) filename = line[start:stop] # slice out of line print count, 'include', filename # same as matchobj.group(1) if len(sys.argv) == 1: scan(sys.stdin) # no args: read stdin else: scan(open(sys.argv[1], 'r')) # arg: input file name To test, let's run this script on the text file in Example 18-7. Example 18-7. PP2E\Lang\test.h#ifndef TEST_H #define TEST_H #include <stdio.h> #include <lib/spam.h> # include "Python.h" #define DEBUG #define HELLO 'hello regex world' # define SPAM 1234 #define EGGS sunny + side + up #define ADDER(arg) 123 + arg #endif Notice the spaces after # in some of these lines; regular expressions are flexible enough to account for such departures from the norm. Here is the script at work, picking out #include and #define lines and their parts; for each matched line, it prints the line number, the line type, and any matched substrings: C:\...\PP2E\Lang>python cheader.py test.h 2 defined TEST_H = 4 include stdio.h 5 include lib/spam.h 6 include Python.h 8 defined DEBUG = 9 defined HELLO = 'hello regex world' 10 defined SPAM = 1234 12 defined EGGS = sunny + side + up 13 defined ADDER = (arg) 123 + arg 18.4.4 A File Pattern Search UtilityThe next script searches for patterns in a set of files, much like the grep command-line program. We wrote file and directory searchers earlier, in Chapter 5. Here, the file searches look for patterns instead of simple strings (see Example 18-8). The patterns are typed interactively separated by a space, and the files to be searched are specified by an input pattern for Python's glob.glob filename expansion tool we studied earlier, too. Example 18-8. PP2E\Lang\pygrep1.py#!/usr/local/bin/python import sys, re, glob from string import split help_string = """ Usage options. interactive: % pygrep1.py """ def getargs( ): if len(sys.argv) == 1: return split(raw_input("patterns? >")), raw_input("files? >") else: try: return sys.argv[1], sys.argv[2] except: print help_string sys.exit(1) def compile_patterns(patterns): res = [] for pattstr in patterns: try: res.append(re.compile(pattstr)) # make re patt object except: # or use re.match print 'pattern ignored:', pattstr return res def searcher(pattfile, srchfiles): patts = compile_patterns(pattfile) # compile for speed for file in glob.glob(srchfiles): # all matching files lineno = 1 # glob uses re too print '\n[%s]' % file for line in open(file, 'r').readlines( ): # all lines in file for patt in patts: if patt.search(line): # try all patterns print '%04d)' % lineno, line, # match if not None break lineno = lineno+1 if __name__ == '__main__': apply(searcher, getargs( )) Here's what a typical run of this script looks like; it searches all Python files in the current directory for two different patterns, compiled for speed. Notice that files are named by a pattern, too -- Python's glob module also uses reinternally: C:\...\PP2E\Lang>python pygrep1.py patterns? >import.*string spam files? >*.py [cheader.py] [finder2.py] 0002) import string, glob, os, sys [patterns.py] 0048) mobj = patt.search(" # define spam 1 + 2 + 3") [pygrep1.py] [rules.py] [summer.py] 0002) import string [__init__.py] |
| I l@ve RuBoard |


UFC vet Pearl Gonzalez breaks her opponent’s arm in grisly grappling video
by Jesse HollandFormer Ultimate Fighting Championship (UFC) strawweight contender Pearl Gonzalez, who currently competes under the Invicta FC banner, returned to the grappling circuit last weekend inside Foro Cintermex Nave Lewis in Monterrey, Mexico.
Where she promptly broke her opponent’s arm.
The tournament, which aired on the UFC Fight Pass digital network, featured a middleweight tournament won by jiu-jitsu ace Dan Martinez, who heel-hooked UFC veteran Jesse Taylor just 24 seconds into their final bout.
For those of you unfamiliar with Combat Jiu-Jitsu, Laura Kent has a pretty solid breakdown:
The combat jiu jitsu ruleset allows for open hand palm strikes once the action hits the ground. There is also a “get down” rule if the match does not hit the ground for a full minute, which requires the competitors to get down on the mat and start from there to allow for the palm strikes.
Gonzalez, 33, parted ways with UFC after suffering back-to-back losses to Cynthia Calvillo and Poliana Botelho, but “Chi-Town Princess” has since racked up a 4-1 record for Invicta FC, including last month’s unanimous decision win over Brogan Walker-Sanchez in Kansas City.


Use the sandbox card details
Card number: 4242 4242 4242 4242 Cardholder name: Test Name Expiration Date: 12/2039 Security Code: 111
Please edit this HTML and update the data-product attribute of the "Buy Now!" button


We believe that all people have inherent value as image bearers of God. We exist as a ministry to serve God's people. We believe that we are called to be tender and sensitive towards the needs of everyone.
Friends of Eli was founded by Sandra and Gilbert Villarreal. They have three children; two of them were born on the autism spectrum. Quickly, this impacted every aspect of their lives and caused them to think toward the future. They asked the question every parent asks at some point, “What will my children do when I am gone?” Because of this calling, their goal has been to share opportunity and hope – hope in God with other families facing similar circumstances and bring hope of a bright future for their children.


Toggle navigation
doglodge.io
Home
Deck
Me
Twitter
LinkedIn
Github
Find the best place to stay with your dog!
Enter a destination:
Search dog lodges!


New York Times Search
Search for articles below!
Search Parameters:
Search Term:
Number of Records to Retrieve:
Start Year (Optional):
End Year (Optional):
Submit
Clear
Featured Articles:


DOT 111
Links
Notes
-
known as the CTC-111A in Canada
-
This car has a capacity of 30,110 US gallons (113,979 L)
-
Up to 80% of the Canadian fleet,[1] and 69% of U.S. rail tank cars are DOT-111 type
-
the carriage of Bakken crude in DOT-111 tank cars may be illegal in Canada, but possibly not in the US


I'm a mechanical engineer from NJ who desires to become a web designer and developer. I dream to one day work and move to NYC.
Currently I am studying at Rutgers Coding Bootcamp. My passion is to bring my technical background into creative solutions.
Check It Out!


Provides init() and read() functions for the FXAS21002 gyroscope. More...
#include "sensor_fusion.h"
#include "driver_fxas21002.h"
#include "hal_i2c.h"
Provides init() and read() functions for the FXAS21002 gyroscope.


There are two main reasons why you may want to exempt some traffic from mitmproxy's interception mechanism:
If you want to peek into (SSL-protected) non-HTTP connections, check out the tcp proxy feature. If you want to ignore traffic from mitmproxy's processing because of large response bodies, take a look at the response streaming feature.
| command-line | --ignore regex |
|---|---|
| mitmproxy shortcut | I |
mitmproxy allows you to specify a regex which is matched against a host:port
string (e.g. "example.com:443")
to determine hosts that should be excluded.
There are two important quirks to consider:
If you just want to ignore one specific domain, there's usually a bulletproof method to do so:
$ mitmdump -v <IP_ADDRESS>:50588: clientconnect <IP_ADDRESS>:50588: request -> CONNECT example.com:443 HTTP/1.1 <IP_ADDRESS>:50588: Set new server address: example.com:443 <IP_ADDRESS>:50588: serverconnect -> example.com:443 ^C $ mitmproxy --ignore ^example\.com:443$
Here are some other examples for ignore patterns:
# Exempt traffic from the iOS App Store (usually just works): --ignore apple.com:443 # "Correct" version without false-positives: --ignore ^(.+\.)?apple\.com:443$ # Ignore example.com on all ports, but no subdomains: --ignore ^example.com: # Transparent mode: --ignore 17\.178\.96\.59:443 # IP address range: --ignore 17\.178\.\d+\.\d+:443
This stems from an limitation of explicit HTTP proxying: A single connection can be re-used for multiple target domains - a GET http://example.com/
request may be followed by a GET http://evil.com/
request on the same connection. If we start to ignore the connection after the first request, we would miss the relevant second one. ↩


Booking & Traveling
Home
Hotels
Parks
Museums
flights
Thankyou For your Purchase
Dear Customer, confirmation email will be sent to you shortly!
Email successfully sent to your email address.
Go Back


Confirm your address step 2 of 4
Is the following address still correct?
Street and house number: Heimlieferstrasse 123
Zip code and City: 8001 Zürich
Summary of your order step 5 of 6
Pizza:
Drinks:
Processing order...
Thanks for your order! step 6 of 6
A (plus drinks: ) will
soon be on the way to you!


Connecting...
Connected, looking for a game
Disconnected :-(
Reconnecting...
No just kidding, F5 is your friend
Reconnecting...
No just kidding, F5 is your friend


Having trouble viewing this email ? Please click here
Designer at Fingertips
| New In Flash Sale Designers Dresses Outerwear Tops Sportswear Handbags |
Long Sleeve Casual Paneled Polka Dots H-line Mini Dress Shop now
Simple Stand Collar Plain 3/4 Sleeve Bow Midi Dress Shop now
| New in | Designers | Dresses | Outerwear |
| Tops | Skirts | Pants | Handbags |


Welcome to the IFRC Americas Region page for resources for the response.
Some of the resources might be behind a password. If you think you need access please contact<EMAIL_ADDRESS>to be added.
Produced by SIMS
Language English Español Português Français
Appeal Amount
CHF 8.48 million
IFRC: Data
Appeal Covered
CHF 2.01 million
# countries with suspected zika cases
Health Ministries (Updated Weekly): Data
Zika deaths
Zika confirmed Cases
Zika suspected cases


{% extends "layouts/layout.html" %} {% block title %}{{title}}{% endblock %} {% block body %}
An error has occurred while processing your request.
We have not taken any money from you.
This new beta service is still in development and you may experience issues. We apologise for any inconvenience caused.
You can return to the new service and try again, alternatively you may wish to switch to our existing 'Find a Property' service to get the information you require.
If you feel you need further assistance please contact HM Land Registry.


Buy Peter a Beer
Play Billing Test SKU
This SKU will report as being successfully purchased.
Get Details
Buy
Acknowledge
Play Billing Test SKU
This SKU will report as being cancelled.
Get Details
Buy
Acknowledge
Logs


Hipster Fashion Haircut
Cloud Computing Services
My haire is sooo fantastic!
Eat healthy & excersice!
Lips so kissable


EMPYRE
Home
Services
About Us
Contact Us
Sign In
Futuristic Travel
Travel of the
Future
Get Start
Travel of the
Future
Travel of the
Future
Travel of the
Future
Travel of the
Future


| 381 | (A) | In schewynge of the folke the fawkon thay hangede |
| 385 | (C) | ¶ In rebukynge of þe folke . þe fawkoun he helde |
| 386 | (D) | In forbysyn to folk þe fawcon he held |
| (E) | ---- no text ---- | |
| (Ex) | ---- no text ---- | |
| 395 | (L) | In forbesyn to þe folke þis fauchouns hengeþ |
| 369 | (P) | In furbissynge of þe folke þar þe fachon hanges |
| 379 | (U) | In forbisen to the folk / the faucon he helde |
| (V) | ---- no text ---- |


So I’m new to IoT having spent my career trying to find meaning in econometric data (ouch). Given I started life as a structural engineer I’m pretty excited to be working on data products with opensensors.io, feels like I’m back home again. So what’s exciting me today about where IoT and data science collide?
As data scientists we’re always looking at new models, new ways of shaping our view on a given data set to eek out some kind of edge. But at some point it feels like we’re chasing our tails with little hope of finding new factors to make our science better. Without new data, or at least the same data in a more granular or timely form, we’re just rehashing the same functional forms over the same content.
Fortunately life is about to get a whole lot more interesting as more connected devices come on line. We’re experiencing tangible innovation in IoT, we’re not talking hand wavy stuff; at opensensors.io we see hackers, hobbyists and enterprises building the next generation of smart cities with real velocity.
We’re also fired up since we see pretty much everyone embracing openness in their data. Exactly what open data means remains up for debate, but most agree that some flavour of open data is a prerequisite for successful smart cities.
It would be a pretty dumb city where you could only use the data in your own location. So it makes sense to open pathways for data to be exchanged allowing us all to benefit from advances in technology, without a cost to our built environment. The alternative is a proliferation of street clutter used to deliver data already gathered in our smart buildings. Paradoxically not smart! Having delivered connected buildings, transport and personal devices can expect a wave of innovation in apps and data science. So what’s would help to make this happen?
Communities – Architects, hackers and makers provide the crucible of IoT innovation but need support for their creative process. Helping to gong the technical pain points is great, even better is curating communities to support and challenge. Our mission is to build best of breed engineering whilst retaining our community roots leveraging platforms like github and hackster.
Connect existing things – Increasingly we see opensensors.io used to unlock value in existing device estates. For many enterprises it’s the ‘I’ in IoT that is new, to deliver the ‘I’ they need open, available, performant, secure and low cost messaging and data persistence.
Put open data to work – ‘I can’t define it, but I know it when I see it’, to paraphrase Justice Potter Stewart. The debate about what is open data will remain, what is rightly or wrongly tagged as such. But expect innovation in business models firmly founded on principles of open data. ‘Open’ may mean sharing data with your neighbour, your street, your city. Most importantly make it economically attractive for all enterprises to make data available in some form, even if it’s not ‘open’ in the purest sense.
We have an exciting journey ahead delivering significant change to our urban environment. Over a century ago ‘The league of American Wheelman’ catalysed improvements to America’s transport infrastructure; open data movement can deliver similar disruptive change to our urban environment. I hope open data becomes as ubiquitous as our transport network is today; in future no one will recall activists like the ODI and opensensors.io, but that would be a sign of open data’s success.


Ping-Pong
Let's have some fun playing ping-pong!
Rules:
Numbers divisible by 3 are replaced with "ping"
Numbers divisible by 5 are replaced with "pong"
Numbers divisible by 15 are replaced with "pingpong"
Please Enter a number here:
Play!


{{ forecast.currently().temperature|round|int }} °C {{ forecast.currently().summary }}
Powered by Forecast


Members get:
Access to the shared library of books, gear, toys, and tools.
An email address @hackerspace.sg*
24 hour keypad code access to the facility.*
A customizable business card identifying them as a member of the hackerspace.*
* All member classes except Trial Members
The main operating expenses are:
The main capital expenses, to be amortized over a 1 year period, are:
Total monthly expense: $6,000
To fund operations, hackerspace.sg collects monthly membership dues.
We require an upfront payment of 3 months, 2 of which will be refunded upon departure (in full) or downgrade (pro rata).
We require that new members commit to 6 months of membership.
Membership fees are intended to cover operating expenses and fund capital improvements to the facility.
On 20090928 Meng proposed the following membership tiers.
| Level | Monthly | Added Benefits |
|---|---|---|
| Resident | $512 | A dedicated desk 7 days a week for co-working. You can keep your crap at the desk. |
| Hotdesk | $256 | A non-dedicated desk should be available whenever you drop in (oversubscription may occur at peak hours, we aim for 90% availability).   Use the workbench. Keep your toys and tools onsite. |
| Youth Member | $64 | If you're a student or you're broke, all the benefits of regular membership at a reduced rate. |
| Trial Member | $32 | If you're not sure if you want to commit, join as a
trial member. No locker, no business card, no email
address, no 24 hour access to the facility. But you do
get to hang out, which is what matters.
After 6 months if you want to stay on, upgrade. |
| Sponsor | >=$1024 | For wealthy individuals to show support for the hackerspace. Contact mengwong directly if you want your donation to be anonymous. |
| Guest | $0 | For infrequent visitors or foreign travelers. Must be accompanied by a member. |


--- permalink: /typography/ layout: default title: Typography ---
The primary font is IBM Plex Sans, in bold and regular weights.
We use one typeface to keep things simple, and use different font sizes and weights to create hierarchy.
If IBM Plex Sans is not available, use Arial as a replacement.


Who am I?
That's a really good question. As you can tell, my name is indeed Warith Rahman. I'm a sophomore attending Allen High School in Texas. I decided to create this website as a method of organizing all I have done in my life thus far, as well as including whatever happens in the near future.
I've enjoyed doing math for a long part of my life, and it's always great to learn new concepts and help others expand their knowledge! I've also recently picked up competitive programming as an additional hobby on my day-to-day basis, and enjoy keeping up with the latest soccer news and playing video games in my free time.
Feel free to look around this website for more information about me, what I've done in the past and do now, and how to contact me about anything. I'd also appreciate any suggestions for improvements to this site, since HTML and CSS are definitely not my main languages :(