| I l@ve RuBoard |
The Python interpreter has a number of built-in functions that are always available. They are listed here in alphabetical order:
This function is invoked by the import statement. It exists so that you can replace it with another function that has a compatible interface, in order to change the semantics of the import statement. For examples of why and how you'd do this, see the standard library modules ihooks and rexec. See also the built-in module imp that defines some useful operations from which you can build your own __import__() function.
For example, the statement import spam results in the call __import_ _('spam', globals(), locals(), []); the statement from spam.ham import eggs results in __import__('spam.ham', globals(), locals(),['eggs']). Even though locals() and ['eggs'] are passed in as arguments, the __import__() function doesn't set the local variable named eggs; this is done by subsequent code that's generated for the import statement. (In fact, the standard implementation doesn't use its locals argument at all, and uses its globals only to determine the package context of the import statement.)
When the name variable is of the form package.module, normally, the top-level package (the name up to the first dot) is returned, not the module named by name. However, when a nonempty fromlist argument is given, the module named by name is returned. This is done for compatibility with the bytecode generated for the different kinds of import statement; when using import spam.ham.eggs, the top-level package spam must be placed in the importing namespace, but when using from spam.ham import eggs, the spam.ham subpackage must find the eggs variable. As a workaround for this behavior, use getattr() to extract the desired components. For example, you could define the following helper:
import string def my_import(name): mod = __import__(name) components = string.split(name, '.') for comp in components[1:]: mod = getattr(mod, comp) return mod
Returns the absolute value of a number. The argument may be a plain or long integer or a floating-point number. If the argument is a complex number, its magnitude is returned.
The function argument must be a callable object (a user-defined or built-in function or method, or a class object), and the args argument must be a sequence (if it's not a tuple, the sequence is first converted to a tuple). The function is called with args as the argument list; the number of arguments is the length of the tuple. (This is different from just calling func(args), since in that case, there's always exactly one argument.) If the optional keywords argument is present, it must be a dictionary whose keys are strings. It specifies keyword arguments to be added to the end of the argument list.
The object argument must be an object that supports the buffer call interface (such as strings, arrays, and buffers). A new buffer object is created that references the object argument; that buffer object is a slice from the beginning of object (or from the specified offset). The slice extends to the end of object (or has a length given by the size argument).
Returns true if the object argument appears callable, false if not. If it returns true, it's still possible that a call fails, but if it's false, the calling object never succeeds. Note that classes are callable (calling a class returns a new instance); class instances are callable if they have a _ _call__() method.
Returns a string of one character whose ASCII code is the integer i, e.g., chr(97) returns the string a. This is the inverse of ord(). The argument must be in the range [0...255], inclusive.
Compares the two objects x and y and returns an integer according to the outcome. The return value is negative if x < y, zero if x == y, and strictly positive if x > y.
Returns a tuple consisting of the two numeric arguments converted to a common type, using the same rules used by arithmetic operations.
Compiles the string into a code object. Code objects can be executed by an exec statement or evaluated by a call to eval(). The filename argument should give the file from which the code was read; pass string if it wasn't read from a file. The kind argument specifies what kind of code must be compiled; it can be exec if string consists of a sequence of statements, eval if it consists of a single expression, or single if it consists of a single interactive statement (in the latter case, expression statements that evaluate to something other than None will print).
Creates a complex number with the value real + imag*j or converts a string or number to a complex number. Each argument may be any numeric type (including complex). If imag is omitted, it defaults to zero, and the function serves as a numeric conversion function like int(), long(), and float(); in this case it also accepts a string argument that should be a valid complex number.
A relative of setattr(). The arguments are an object and a string. The string must be the name of one of the object's attributes. The function deletes the named attribute, provided the object allows it. For example, delattr(x, 'foobar') is equivalent to del x.foobar.
Without arguments, returns the list of names in the current local symbol table. With an argument, attempts to return a list of valid attribute for that object. This information is gleaned from the object's __dict__ , __methods__ , and __members__ attributes, if defined. The list is not necessarily complete; e.g., for classes, attributes defined in base classes aren't included, and for class instances, methods aren't included. The resulting list is sorted alphabetically. For example:
>>> import sys >>> dir() ['sys'] >>> dir(sys) ['argv', 'exit', 'modules', 'path', 'stderr', 'stdin', 'stdout'] >>>
Takes two numbers as arguments and returns a pair of numbers consisting of their quotient and remainder when using long division. With mixed operand types, the rules for binary arithmetic operators apply. For plain and long integers, the result is the same as (a / b, a % b). For floating-point numbers, the result is the same as (math.floor(a / b), a % b).
The arguments are a string and two optional dictionaries. The expression argument is parsed and evaluated as a Python expression (technically speaking, a condition list) using the globals and locals dictionaries as global and local namespace. If the locals dictionary is omitted, it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where eval is called. The return value is the result of the evaluated expression. Syntax errors are reported as exceptions. Example:
>>> x = 1 >>> print eval('x+1') 2
This function can also execute arbitrary code objects (e.g., created by compile()). In this case, it passes a code object instead of a string. The code object must have been compiled passing eval to the kind argument.
Hints: dynamic execution of statements is supported by the exec statement. Execution of statements from a file is supported by the execfile() function. The globals() and locals() functions returns the current global and local dictionary, respectively, which may be useful to pass around for use by eval() or execfile().
Similar to the exec statement, but parses a file instead of a string. It's different from the import statement in that it doesn't use the module administration; it reads the file unconditionally and doesn't create a new module.[G]
[G] It's used relatively rarely so it doesn't warrant being made into a statement.
The arguments are a filename and two optional dictionaries. The file is parsed and evaluated as a sequence of Python statements (similar to a module) using the globals and locals dictionaries as global and local namespace. If the locals dictionary is omitted, it defaults to the globals dictionary. If both dictionaries are omitted, the expression is executed in the environment where execfile() is called. The return value is None.
Constructs a list from those elements of list for which function returns true. If list is a string or a tuple, the result also has that type; otherwise it's always a list. If function is None, the identity function is assumed, i.e., all elements of list that are false (zero or empty) are removed.
Converts a string or a number to floating point. If the argument is a string, it must contain a possibly signed decimal or floating-point number, possibly embedded in whitespace; this behaves identically to string.atof(x). Otherwise, the argument may be a plain or long integer or a floating-point number, and a floating-point number with the same value (within Python's floating-point precision) is returned.
When passing in a string, values for NaN and Infinity may be returned, depending on the underlying C library. The specific set of strings accepted that cause these values to be returned depends entirely on the C library and is known to vary.
The arguments are an object and a string. The string must be the name of one of the object's attributes. The result is the value of that attribute. For example, getattr(x, 'foobar') is equivalent to x.foobar.
Returns a dictionary representing the current global symbol table. This is always the dictionary of the current module (inside a function or method, this is the module where it is defined, not the module from which it is called).
The arguments are an object and a string. The result is 1 if the string is the name of one of the object's attributes, if not. (This is implemented by calling getattr(object, name) and seeing whether it raises an exception.)
Returns the hash value of the object (if it has one). Hash values are integers. They can quickly compare dictionary keys during a dictionary lookup. Numeric values that compare equal have the same hash value (even if they are of different types, e.g., 1 and 1.0).
Converts an integer number (of any size) to a hexadecimal string. The result is a valid Python expression. This always yields an unsigned literal, e.g., on a 32-bit machine, hex(-1) yields '0xffffffff'. When evaluated on a machine with the same word size, this literal is evaluated as -1; at a different word size, it may be a large positive number or raise an OverflowError exception.
Returns the identity of an object. This is an integer that's guaranteed to be unique and constant for this object during its lifetime. Two objects whose lifetimes don't overlap may have the same id() value. (Implementation note: this is the address of the object.)
Equivalent to eval(raw_input(prompt)).
Enters string in the table of interned strings and returns the interned string, which is string itself or a copy. Interning strings is useful to gain a little performance on dictionary lookup; if the keys in a dictionary are interned, and the lookup key is interned, the key comparisons (after hashing) can be done by a pointer compare instead of a string compare. Normally, the names used in Python programs are automatically interned, and the dictionaries that hold module, class, or instance attributes have interned keys. Interned strings are immortal (i.e., never get garbage-collected).
Converts a string or number to a plain integer. If the argument is a string, it must contain a possibly signed decimal number representable as a Python integer, possibly embedded in whitespace; this behaves identically to string.atoi(x). Otherwise, the argument may be a plain or long integer or a floating-point number. Conversion of floating-point numbers to integers is defined by the C semantics; normally the conversion truncates towards zero.[H]
[H] This is ugly: the language definition should require truncation towards zero.
Returns true if the object argument is an instance of the class argument or of a (direct or indirect) subclass thereof. Also returns true if class is a type object and object is an object of that type. If object is not a class instance or an object of the given type, the function always returns false. If class is neither a class object nor a type object, a TypeError exception is raised.
Returns true if class1 is a subclass (direct or indirect) of class2. A class is considered a subclass of itself. If either argument isn't a class object, a TypeError exception is raised.
Returns the length (the number of items) of an object. The argument may be a sequence (string, tuple, or list) or a mapping (dictionary).
Returns a list whose items are the same and in the same order as sequence 's items. If sequence is already a list, a copy is made and returned, similar to sequence[:]. For instance, list('abc') returns ['a', 'b', 'c'], and list( (1, 2, 3) ) returns [1, 2, 3].
Returns a dictionary representing the current local symbol table. Warning: the contents of this dictionary should not be modified; changes may not affect the values of local variables used by the interpreter.
Converts a string or number to a long integer. If the argument is a string, it must contain a possibly signed decimal number of arbitrary size, possibly embedded in whitespace; this behaves identically to string.atol(x). Otherwise, the argument may be a plain or long integer or a floating-point number, and a long integer with the same value is returned. Conversion of floating-point numbers to integers is defined by the C semantics; see the description of int().
Applies function to every item of list and returns a list of the results. If additional list arguments are passed, function must take that many arguments and is applied to the items of all lists in parallel; if a list is shorter than another, it's assumed to be extended with None items. If function is None, the identity function is assumed; if there are multiple list arguments, map() returns a list consisting of tuples containing the corresponding items from all lists (i.e., a kind of transpose operation). The list arguments may be any kind of sequence; the result is always a list.
With a single argument s, returns the largest item of a nonempty sequence (e.g., a string, tuple, or list). With more than one argument, returns the largest of the arguments.
With a single argument s, returns the smallest item of a nonempty sequence (e.g., a string, tuple, or list). With more than one argument, returns the smallest of the arguments.
Converts an integer number (of any size) to an octal string. The result is a valid Python expression. This always yields an unsigned literal, e.g., on a 32-bit machine, oct(-1) yields '037777777777'. When evaluated on a machine with the same word size, this literal is evaluated as -1; at a different word size, it may be a large positive number or raise an OverflowError exception.
Returns a new file object (described earlier in the section Section A.1). The first two arguments are the same as for stdio's fopen(): filename is the filename to be opened, mode indicates how the file is to be opened: 'r' for reading, 'w' for writing (truncating an existing file), and 'a' opens it for appending (which on some Unix systems means that all writes append to the end of the file, regardless of the current seek position).
Modes 'r+', 'w+', and 'a+' open the file for updating (note that 'w+' truncates the file). Append 'b' to the mode to open the file in binary mode, on systems that differentiate between binary and text files (else it is ignored). If the file can't be opened, IOError is raised.
If mode is omitted, it defaults to 'r'. When opening a binary file, you should append 'b' to the mode value for improved portability. (It's useful even on systems that don't treat binary and text files differently, where it serves as documentation.) The optional bufsize argument specifies the file's desired buffer size: 0 means unbuffered, 1 means line buffered, any other positive value means use a buffer of (approximately) that size. A negative bufsize means to use the system default, which is usually line buffered for tty devices and fully buffered for other files. If omitted, the system default is used.[I]
[I] Specifying a buffer size currently has no effect on systems that don't have setvbuf(). The interface to specify the buffer size is not done using a method that calls setvbuf(), because that may dump core when called after any I/O has been performed, and there's no reliable way to determine whether this is the case.
Returns the ASCII value of a string of one character. For example, ord('a') returns the integer 97. This is the inverse of chr().
Returns x to the power y; if z is present, return x to the power y, modulo z (computed more efficiently than pow(x, y) % z). The arguments must have numeric types. With mixed operand types, the rules for binary arithmetic operators apply. The effective operand type is also the type of the result; if the result isn't expressible in this type, the function raises an exception; e.g., pow(2, -1) or pow(2, 35000) isn't allowed.
This is a versatile function to create lists containing arithmetic progressions. It is most often used in for loops. The arguments must be plain integers. If the step argument is omitted, it defaults to 1. If the start argument is omitted, it defaults to 0. The full form returns a list of plain integers [start, start + step, start + 2 * step, ...]. If step is positive, the last element is the largest start + i * step less than stop ; if step is negative, the last element is the largest start + i * step greater than stop. step must not be zero (or else ValueError is raised). Here's an example:
>>> range(10) [0, 1, 2, 3, 4, 5, 6, 7, 8, 9] >>> range(1, 11) [1, 2, 3, 4, 5, 6, 7, 8, 9, 10] >>> range(0, 30, 5) [0, 5, 10, 15, 20, 25] >>> range(0, 10, 3) [0, 3, 6, 9] >>> range(0, -10, -1) [0, -1, -2, -3, -4, -5, -6, -7, -8, -9] >>> range(0) [] >>> range(1, 0) [] >>>
If the prompt argument is present, it's written to standard output without a trailing newline. The function then reads a line from input, converts it to a string (stripping a trailing newline), and returns that. When EOF is read, EOFError is raised. Here's an example:
>>> s = raw_input('--> ') --> Monty Python's Flying Circus >>> s "Monty Python's Flying Circus" >>>
If the readline module was loaded, then raw_input() uses it to provide elaborate line-editing and history features.
Applies function of two arguments cumulatively to the items of sequence, from left to right, so as to reduce the sequence to a single value. For example, reduce(lambda x, y: x+y, [1, 2, 3, 4, 5]) calculates ((((1+2)+3)+4)+5). If the optional initializer is present, it's placed before the items of the sequence in the calculation and serves as a default when the sequence is empty.
Reparses and reinitializes an already imported module. The argument must be a module object, so it must have been successfully imported before. This is useful if you have edited the module source file using an external editor and want to try out the new version without leaving the Python interpreter. The return value is the module object (i.e., the same as the module argument). There are a number of caveats:
If a module is syntactically correct but its initialization fails, the first import statement for it doesn't bind its name locally, but does store a (partially initialized) module object in sys.modules. To reload the module you must first import it again (this binds the name to the partially initialized module object) before you can reload() it.
When a module is reloaded, its dictionary (containing the module's global variables) is retained. Redefinitions of names override the old definitions, so this is generally not a problem. If the new version of a module doesn't define a name that was defined by the old version, the old definition remains. This feature can be used to the module's advantage if it maintains a global table or cache of objects; with a try statement it can test for the table's presence and skip its initialization if desired.
It is legal though generally not useful to reload built-in or dynamically loaded modules, except for sys, __main__ , and __builtin__. In certain cases, however, extension modules aren't designed to be initialized more than once, and may fail in arbitrary ways when reloaded.
If a module imports objects from another module using from ... import ..., calling reload() for the other module doesn't redefine the objects imported from it; one way around this is to reexecute the from statement, another is to use import and qualified names (module.name) instead.
If a module instantiates instances of a class, reloading the module that defines the class doesn't affect the method definitions of the instances; they continue to use the old class definition. The same is true for derived classes.
Returns a string containing a printable representation of an object. This is the same value yielded by conversions (reverse quotes). It's sometimes useful to be able to access this operation as an ordinary function. For many types, this function makes an attempt to return a string that would yield an object with the same value when passed to eval().
Returns the floating-point value x rounded to n digits after the decimal point. If n is omitted, it defaults to zero. The result is a floating-point number. Values are rounded to the closest multiple of 10 to the power minus n ; if two multiples are equally close, rounding is done away from (e.g., round(0.5) is 1.0 and round(-0.5) is -1.0).
The counterpart of getattr(). The arguments are an object, a string, and an arbitrary value. The string may name an existing attribute or a new attribute. The function assigns the value to the attribute, provided the object allows it. For example, setattr(x, 'foobar', 123) is equivalent to x.foobar = 123.
Returns a slice object representing the set of indexes specified by range(start, stop, step). The start and step arguments default to None. Slice objects have read-only data attributes start, stop, and step, which merely return the argument values (or their default). They have no other explicit functionality; however, they are used by Numerical Python and other third-party extensions. Slice objects are also generated when extended indexing syntax is used, e.g., for a[start:stop:step] or a[start:stop, i].
Returns a string containing a nicely printable representation of an object. For strings, this returns the string itself. The difference with repr(object) is that str(object) doesn't always attempt to return a string that is acceptable to eval(); its goal is to return a printable string.
Returns a tuple whose items are the same and in the same order as sequence's items. If sequence is already a tuple, it's returned unchanged. For instance, tuple('abc') returns ('a', 'b', 'c'), and tuple([1, 2, 3]) returns (1, 2, 3).
Returns the type of an object. The return value is a type object. The standard module types defines names for all built-in types. For instance:
>>> import types >>> if type(x) == types.StringType: print "It's a string" >>>
Without arguments, returns a dictionary corresponding to the current local symbol table. With a module, class, or class instance object as argument (or anything else that has a __dict__ attribute), returns a dictionary corresponding to the object's symbol table. The returned dictionary should not be modified: the effects on the corresponding symbol table are undefined.[J]
[J] In the current implementation, local variable bindings can't normally be affected this way, but variables retrieved from other scopes (e.g., modules) can. This may change.
Similar to range(), but returns an xrange object instead of a list. This is an opaque sequence type that yields the same values as the corresponding list, without actually storing them all simultaneously. The advantage of xrange() over range() is minimal (since xrange() still has to create the values when asked for them) except when a large range is used on a memory-starved machine (e.g., MS-DOS) or when all of the range's elements are never used (e.g., when the loop is usually terminated with break).
| I l@ve RuBoard |


|
DotNetBrowser
1.16
|
Represents JavaScript execution context. Each frame on the web page has it's own execution context. JavaScript objects created in one context will not be visible and accessible in other contexts. More...
Inherits IDisposable.
Public Member Functions | |
| void | Dispose () |
| Disposes current context More... | |
| override bool | Equals (object obj) |
| Determines whether the specified JSContext is equal to the current JSContext. More... | |
| override int | GetHashCode () |
| Serves as a hash function for a particular type. More... | |
| JSObject | CreateObject () |
| Create a new empty JavaScript object instance that is available in scope of the current execution context. More... | |
Protected Member Functions | |
| void | Dispose (bool disposing) |
Properties | |
| long | FrameId [get] |
| Returns unique identifier of a frame which is associated this this JavaScript execution context. This method returns valid identifier even when context is disposed and frame with this ID doesn't exist anymore. Use this method only in combination with the IsDisposed property. More... | |
| long | WorldId [get] |
| Gets JavaScript world identifier associated with the current context. More... | |
| bool | IsDisposed [get] |
| Indicates whether context is disposed or not. JavaScript context is disposed automatically when its frame is being unloaded. All JavaScript objects associated with this context will be disposed automaticall More... | |
Events | |
| EventHandler | DisposeEvent |
| An event that indicates that context instance disposed. More... | |
Represents JavaScript execution context. Each frame on the web page has it's own execution context. JavaScript objects created in one context will not be visible and accessible in other contexts.
JavaScript context is initialized and created automatically for each frame on the loaded web page only if this frame has JavaScript code. If frame doesn't have JavaScript code, context will not be created for this frame. To force context creation you can call Browser.ExecuteJavaScriptAndReturnValue(long, String)} method for required frame.
When frame is reloaded or another web page is loaded, all existing contexts will be destroyed and new contexts will be created. To check whether context is destroyed get the IsDisposed property or use DisposedEvent.
| JSObject DotNetBrowser.JSContext.CreateObject | ( | ) |
Create a new empty JavaScript object instance that is available in scope of the current execution context.
| InvalidOperationException | when context is not valid anymore and disposed. |
| void DotNetBrowser.JSContext.Dispose | ( | ) |
Disposes current context
| override bool DotNetBrowser.JSContext.Equals | ( | object | obj | ) |
| override int DotNetBrowser.JSContext.GetHashCode | ( | ) |
Serves as a hash function for a particular type.
|
get |
Returns unique identifier of a frame which is associated this this JavaScript execution context. This method returns valid identifier even when context is disposed and frame with this ID doesn't exist anymore. Use this method only in combination with the IsDisposed property.
|
get |
Indicates whether context is disposed or not. JavaScript context is disposed automatically when its frame is being unloaded. All JavaScript objects associated with this context will be disposed automaticall
|
get |
Gets JavaScript world identifier associated with the current context.
| EventHandler DotNetBrowser.JSContext.DisposeEvent |
An event that indicates that context instance disposed.


SUMMER CATCH (2001) 1 1/2 stars out of 4. Starring Freddie Prinze Jr., Jessical Biel, Matthew Lillard, Fred Ward, Jason Gedrick, Brittany Murphy, Bruce Davison and Brian Dennehy. Screenplay by Kevin Falls and John Gatins. Story by Falls. Directed by Mike Tollin. Rated PG-13. Approx. 110 minutes. Summer Catch is a minor league effort, nine innings of banality with a lineup of stock situations and stereotypical characters.
This feature is like a double header, two sets of clichés for the price of one. Not only do we get the usual tired sports chestnuts, but the banal rich girl-poor boy love story is tossed in for good measure.
An original moment in this loser is as rare as a Chicago Cubs World Series appearance.
The screenplay by Kevin Falls and John Gatins, based on a story by Falls, merely lobs its plotline at the audience. This is a story that needed sent down for seasoning and more coaching.
Summer Catch centers around Ryan Dunne (Freddie Prinze Jr.), a Cape Cod youth chosen to participate in the prestigious Cape Cod Baseball League, supposedly a showcase for the best young amateur and college players in the country.
Ryan is a blue-collar kind of guy. He works with his dad taking care of the lawns of Cape Cod's rich and famous.
He also, as we are informed early, his own worst enemy. He has the potential and the talent, but always seems to self-destruct at the crucial moment.
So, Ryan tries to remained focused on baseball. Then he meets Tenley Parrish (Jessica Biel), daughter of one of the blue bloods whose lawn he manicures. Tenley, a name only a hack screenwriter could invent, is unlike her snobbish counterparts and falls for Ryan.
If you can't figure out where all this nonsense leads, then you need a remedial course in film viewing.
As always Prinze is pretty to look at, but his performance mainly consists of facial expressions: puppy dog love, heartbreak, frustration, self-loathing or determination.
Biel cries a lot, while Bruce Davison merely acts smarmy as her class-conscious father. The only beacon is Matthew Lillard's fun-loving Billy Brubaker, the team's catcher.
Summer Catch borrows situations and stylings from other baseball movies, such as Bull Durham and The Natural.
 Every pitch is predictable. A blind umpire could call this movie.
Summer Catch is strictly rookie league moviemaking. It has as much chance of making the movie hall of fame as the Dodgers have of moving back to Brooklyn.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, IN. He can be reached by e-mail at<EMAIL_ADDRESS>or at<EMAIL_ADDRESS>Other reviews by Bloom can be found at www.jconline.com by clicking on golafayette. Bloom's reviews also can be found on the Web at the Internet Movie Database: http://www.imdb.com/M/reviews_by?Bob+Bloom
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--- layout: post title: 'Firefox Extension: Remember open windows, locations, urls, sessions.' categories: [] tags: [] status: publish type: post published: true meta: _original_post_id: '' _original_import_author: John Duprey author: ---
jduprey
tired


{% extends 'mooring/base.html' %} {% load static %} {% load forms %} {% block content %}
A confirmation email has been sent to {{ booking.customer.email }}.
{% if booking.cost_total < 0 %}{% if refund_failed|length > 0 %}Sorry your refund failed to automatically refund and require a manually refund to be completed. Please allow upto 28 days for this to be completed. Your reference is {{ refund_failed.0.refund_amount }} {% else %}A refund has automatically been refunded to you, please allow 1-3 business days for the money to be credit to your account.{%endif %}{%endif %}
Please click here if you want to make another booking.


Written by Jeremy O Harris. Presented as a part of American AF Festival with: Madeline Wise, Jonathan Higginbotham, Alexander Paris, Aleah Quiñones, Greogry Cuellar, and Jordan Bellow.
GUESTS: a gestural ballet at Brown University
Concieved and Performed by: Anna Musselman, Eve Blazo, Ursula Raasted, Shawn Salzburg, Christopher Fitzsimmons, Gerrit Thurston, Patrick McGowan, Shawn Salzburg


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***LIVE UPDATES*** Fiona Hill, David Holmes Testify on Impeachment
The House Intelligence Committee will hold its seventh public hearing on Thursday as part of their impeachment inquiry against President Trump with testimonies from Fiona Hill, a former National Security Council senior director for Europe and Russia, and David Holmes, counselor for political affairs at the U.S. Embassy in Ukraine.
by Joshua Caplan**Follow live updates on this event from Breitbart News. All times in eastern.**
4:18 P.M. — Schiff brings the hearing to a close: “That says to me this president thinks he is above the law, beyond accountability. And in my view, there is nothing more dangerous than an unethical president who believes he is above the law. We are better than that. Adjourned.”
4:12 P.M. — Schiff attempts to argue that it’s “absurd” for Republicans to point out that witnesses’ evidence is based on “hearsay.”
4:09 P.M. — Biggs once against fact-checks Schiff in real-time after the California Democrat falsely claims that Republicans dispute Russian interference in the 2016 election:
4:05 P.M. — Schiff: “The Three Amigos, two of whom never made the connection between Burisma and Biden, it took Tim Morrison ten seconds on Google to figure that out.”
4:02 P.M. — Schiff: “My [Republican] colleagues sought to use you to besmirch the reputation of Lt. Col. Vindman. He heard the same quid pro quo you did. So why are they smearing him? They don’t question the facts. It’s just gratuitous.”
4:01 P.M. — Schiff begins his closing statement: “Dr. Hill, you were criticized several times by my colleagues for your opening statement. I’m glad you didn’t back down from it. You’re much more diplomatic than I am Anyone watching these proceedings would have the same impression that you evidently had.”
4:00 P.M. —
3:58 P.M. — Nunes notes Pelosi “made clear today” the USMCA won’t be enacted into law, says he hopes Schiff will “clarify” how much longer lawmakers will spend on this “impeachment crusade”
3:56 P.M. — Nunes: “What you’ve seen in the room over the last few weeks is a show trial.”
3:52 P.M. — Nunes begins delivers his closing statement’:
3:48 P.M. — Hill compares what is described as conspiracies theories about Soros to the “Protocols of the Elders of Zion.”
3:47 P.M. — Rep. Raja Krishnamoorthi (D-IL) asks about remarks made by Roger Stone in which he accused her of being a “globalist leftist Soros insider.”
Hill rejects the allegations and replies: “I think my coal mining family would be very surprised to hear these things about me.”
She served as a member of Soros’s Open Society Institute Central Eurasia Project Advisory Board between 2000-2006.
3:40 P.M. — Hill asserts “It is not credible to me that [Sondland] was oblivious” that Burisma meant Biden with regard to investigations.
3:37 P.M. — Rep. Sean Maloney (D-NY) apologizes to Hill for what he describes as an “epic mansplaining” from Rep. Mike Turner (R-OH).
3:30 P.M. — Jordan highlights the past partisan activities of the so-called “whistleblower,” says the CIA analyst “worked with Joe Biden.”
3:24 P.M. — Rep. Denny Heck (D-WA) asks Holmes if Russia would occupy Ukraine if it could. Holmes replies yes, adding “without Ukraine, Russia’s just a country, but with it, it’s an empire.”
3:22 P.M. — Rep. Mike Conaway (R-TX) tells Holmes he should not have conveyed details regarding the Trump-Sondland telephone call with officials. Holmes replies: I think it was Gordon Sondland who showed indiscretion by having that conversation over a public phone line.”
3:19 P.M. —
3:15 P.M. —
3:10 P.M. — Rep. Will Hurd (R-TX) says that while he “disagree[s] with sort of bungling of foreign policy” of President Trump, “an impeachable offense should be overwhelming,” and he hasn’t “heard evidence of the President’s bribery.”
3:08 P.M. —
3:02 P.M. —
2:47 P.M. —
2:46 P.M. —
2:41 P.M. —
2:36 P.M. —
2:30 P.M. — Hill on Yovanovitch: “Frankly, she was an easy target as a woman.”
2:28 P.M. — Meadows, Biggs, and other Republican lawmakers are in the house:
2:27 P.M. — Not a good look for Holmes from earlier:
2:24 P.M. — Hill says people have attempted to dox her by posting her address to social media.
2:20 P.M. — Hill: “I honestly don’t know what the definition of a Never Trumper is.”
2:11 P.M. — Rep. John Ratcliffe (R-TX) is now quizzing Holmes:
2:11 P.M. — Meadows cuts through the fog of Hill’s testimony: “For those seizing on the Fiona Hill comment about Sondland and a “domestic political operation” – you do realize we just heard from Sondland yesterday, who admitted @realDonaldTrump never asked him for a political quid pro quo, ever, and it was all his evidence-free assumption”
2:04 P.M. — Hill quips “I must have missed them,” when Rep. Jim Himes (D-CT) reads her President Trump’s tweets.
2:02 P.M. —
2:01 P.M. —
1:58 P.M. — Jordan is now pressing Holmes:
1:54 P.M. — Hill tells Schiff that she believes “It was clear that Burisma was code for the Bidens.”
1:50 P.M. —
1:43 P.M. — Hill denies questioning Vindman’s judgment, but concedes she thought he lacked the political chops to handle what she describes as a “highly politically charged situation” regarding Ukraine.
1:37 P.M. —
1:35 P.M. — Hill says “I admit I was a bit rude” to Sondland when she asked him about his role in U.S. affairs with Ukraine.
“I have to say that when women show anger it’s not always fully appreciated,” she adds.
1:25 P.M. — Hill says “it’s perfectly logical that Ambassador Sondland would play some kind of role” in the U.S.’s dealings with Ukraine.
1:22 P.M. — White House press secretary Stephanie Grisham issues a statement dismissing Hill and Holmes’s testimonies:
“As has been the case throughout the Democrats’ impeachment sham, today’s witnesses rely heavily on their own presumptions, assumptions and opinions. These two witnesses, just like the rest, have no personal or direct knowledge regarding why U.S. aid was temporarily withheld.  The American people deserve better.”
1:21 P.M. —
1:19 P.M. — Hill acknowledges she wasn’t initially in support of providing aid to Ukraine due to their military’s lack of experience with sophisticated weaponry. She co-wrote an opinion-editorial about why for the Washington Post in 2015.
1:18 P.M. —
1:16 P.M. —
1:14 P.M. — Hill says President Trump has the absolute right to remove an ambassador whenever he wants.
1:13 P.M. —
1:06 P.M. — Exchange between Nunes and Hill on who paid for the dossier:
1:05 P.M. —Hill confirms Christopher Steele, the author of the discredited Trump dossier, was previously a counterpart of hers.
1:04 P.M. — The hearing has resumed. Nunes is asking Hill if she knows former DNC contractor Alexandra Chalupa, Fusion GPS co-founder Glenn Simpson, Justice Department Bruce Ohr and his wife Nellie Ohr.
12:37 P.M. —
11:53 A.M. — This is CNN:
11:48 A.M. — Rep. Jim Jordan (R-OH) is far from impressed with Holmes:
11:35 A.M. — Pelosi: “The evidence is clear that the President has used his office for his own personal gain and in doing so undermined the national security of the United States by withholding military assistance to Ukraine to the benefit of the Russians.”
11:30 A.M. — House Speaker Nancy Pelosi (D-CA) is pressed on the partisan nature of the impeachment inquiry, responds with the claim: “Republicans are in denial about the facts. if they don’t want to honor their oath of office, I don’t think we should be characterized as partisan.”
11:23 A.M. — Good question via Mark Levin:
11:15 A.M. — President Trump’s re-election campaign sends out an email blast pushing back against Hill and Schiff’s dismissal of Ukrainian meddling in the 2016 election:
There’s a simple reason Adam Schiff wants to deny Ukraine interfered in U.S. politics: He was willing to collude with them. Ukraine’s interference in the 2016 election against Donald Trump was well documented in multiple mainstream news reports. No one denies Russia’s interference—in fact, Republicans authored a report on it.
Democrats must answer three key questions: 1. Separate from the fact that Russia was behind the hacking of the DNC, do you maintain that Ukraine did absolutely nothing to influence America’s 2016 election? 2. Do you believe U.S. Attorney John Durham’s investigation is legitimate? DOJ has said he is “exploring the extent to which” Ukraine played a role in the 2016 election. 3. Should Ukraine cooperate with the U.S. Department of Justice in its investigation?
11:08 A.M. —
11:04 A.M. — The hearing is now in recess.
11:00 A.M. — Hill says former National Security Advisor John Bolton’s description of a “drug deal that Mulvaney and Sondland were cooking up”: “I took it to mean investigations for a meeting.”
10:54 A.M. — Hill says that President Trump believed NSC official Kash Patel headed up Ukraine affairs, not Lt. Col. Alexander Vindman, and could have given the president information without her knowledge.
10:49 A.M. — House Minority Leader Kevin McCarthy (R-CA) once again calls for Schiff to allow the so-called “whistleblower” and Hunter Biden to testify as part of the impeachment inquiry hearings.
10:48 A.M. — Hill says Giuliani made “incendiary remarks” on television and pushes reports that she claims would “come back to haunt us.”
10:47 A.M. —
10:43 A.M. —
10:40 A.M. — Homes is coming off as increasingly partial to Yovanovich’s views on Ukraine than those of President Trump.
10:39 A.M. — Rep. Mark Meadows (R-NC) weighs in on today’s hearings:
10:38 A.M. — Hill of the Trump-Zelensky call: “I found this particular call’s subject matter and the way that it was conducted, surprising.”
10:36 A.M. — Holmes says of the Trump-Sondland call: “I’ve never seen anything like this in my foreign service career.”
10:34 A.M. — Holmes says Sondland “sort of winced” when President Trump came on the phone and “held the phone away from his ear.”
“It was quite loud when the president came on, quite distinctive,” he adds.
10:29 A.M. — Holmes claims Ukrainians still feel under pressure from President Trump: “They’re being very careful.” Zelenksy has repeatedly said he felt no pressure to probe into allegations of corruption against former Vice President Joe Biden and his son, Hunter Biden, during the July 25th call with the president.
10:26 A.M. — Biggs fact-checks Hill on Russian meddling efforts:
10:25 A.M. —
10:22 A.M. — Hill tells Schiff of Russian meddling campaigns: “I just want to again emphasize as we discuss all of these issues, not to give them more fodder that they can use against us in 2020.”
10:20 A.M. — This is true, from Biggs:
10:17 A.M. — President Trump quotes Ken Starr’s analysis on impeachment:
10:17 A.M. — Hill: “When we are consumed by partisan rancor, we cannot combat these external forces as they seek to divide us against each another, degrade our institutions, and destroy the faith of the American people in our democracy.”
10:16 A.M. —
10:15 A.M. — Hill claims of reports stating Ukraine meddled in 2016 elections: “This is a fictional narrative that has been perpetrated and propagated by the Russian security services themselves.”
10:14 A.M. — Hill: “I grew up poor with a very distinctive working-class accent. In England in the 1980s and 1990s, this would have impeded my professional advancement. This background has never set me back in America.”
10:13 A.M. — Hill begins her opening statement, says: “I have no interest in advancing the outcome of your inquiry in any particular direction, except toward the truth.”
10:09 A.M. — Holmes ends his opening statement by lecturing the Trump administration over its policy toward Ukraine, stating the country deserves better. Reminder: President Trump approved the sale of 210 Javelin anti-tank missiles and 37 launchers to Ukraine in March 2018 — something the Obama administration did not do.
10:08 A.M. — Holmes: “Ukrainians want to hear a clear and unambiguous reaffirmation that our long-standing, bipartisan policy of strong support for Ukraine remains unchanged and that we fully back it at the highest levels.”
10:03 A.M. —
10:01 A.M. — Rep. Andy Biggs (R-AZ) rips Holmes’s testimony, says he sounds like a “discontented deep-state bureaucrat.”
10:00 A.M. — Holmes: “Between meetings on August 27th, I heard Ambassador Bolton express to Ambassador Taylor and National Security Council Senior Director Tim Morrison his frustration about Mr. Giuliani’s influence with the President, making clear there was nothing he could do about it.”
9:58 A.M. — Holmes: “Ambassador Sondland told the President he should let A$AP Rocky get sentenced, then play the ‘race card’ and give him a ticker-tape parade when he gets home, you can tell the Kardashians you tried.”
9:56 A.M. — Holmes continues on Sondland’s call with President Trump: “[He] went on to state that President Zelenskyy ‘loves your ass.’ I then heard President Trump ask, ‘So, he’s gonna do the investigation?’ Ambassador Sondland replied that ‘he’s gonna do it,’ adding that President Zelenskyy will do ‘anything you ask him to.'”
9:54 A.M. — Holmes says of President Trump’s call with Sondland: “The President’s voice was very loud and recognizable, and Ambassador Sondland held the phone away from his ear for a period of time, presumably because of the loud volume.”
9:52 A.M. — Holmes: “I was deeply disappointed to see that the President raised none of what I understood to be our inter-agency agreed-upon foreign policy priorities in Ukraine and instead raised the Biden/Burisma investigation and referred to the theory about Crowdstrike.”
9:49 A.M. — Holmes: “On June 28, while President Trump was still not moving forward on a meeting with President Zelenskiy, he met with Russian President Putin at the G20 Summit in Osaka, Japan, sending a further signal of lack of support for Ukraine.” Strange framing from Holmes considering President Trump approved the sale of 210 Javelin anti-tank missiles and 37 launchers to Ukraine in March 2018 — something the Obama administration resisted.
9:48 A.M. — Holmes’s use of the term “Three Amigos” — a reference to Sondland, Energy Secretary Rick Perry and former Special Envoy to Ukraine Kurt Volker — is not going unnoticed:
9:43 A.M. — Holmes claims U.S. Ambassador to E.U. Gordan Sondland once said: “Dammit Rudy. Every time Rudy gets involved he goes and f—s everything up.”
9:40 A.M. — Holmes: “The barrage of allegations directed at Ambassador Yovanovitch, a career ambassador, is unlike anything I have seen in my professional career.”
9:37 A.M. — Holmes: “Mr. Lutsenko made a series of unsupported allegations against Ambassador Yovanovitch, mostly suggesting that Ambassador Yovanovitch improperly used the Embassy to advance the political interests of the Democratic Party.”
9:36 A.M. — Holmes: “As the impeachment inquiry has progressed, I have followed press reports and reviewed the statements of Ambassador Taylor and Ambassador Yovanovitch. Based on my experience in Ukraine, my recollection is generally consistent with their testimony.”
9:35 A.M. — Holmes: “I am an apolitical foreign policy professional, and my job is to focus on the politics of the country in which I serve so that we can better understand the local landscape and better advance U.S. national interests there.”
9:34 A.M. — Holmes begins his opening statement: “Beginning in March 2019, our support for Ukrainian democratic resistance to Russian aggression … became overshadowed by a political agenda being promoted by [Rudy Giuliani] and a cadre of officials operating with a direct channel to the White House.”
9:33 A.M. — Read Holmes’s opening statement below:
9:32 A.M. — Hill and Holmes are being sworn in.
9:30 A.M. — Conservative radio host Mark Levin offers analysis on Schiff’s strategy for the impeachment hearings:
9:29 A.M. — Nunes on impeachment: “I sincerely hope the Democrats end this affair as quickly as possible so our nation can begin to heal.”
9:23 A.M. — Nunes: “Ladies and gentlemen, unless the Democrats once again scramble their kangaroo court rules, today’s hearing marks the merciful end of this spectacle in the Impeachment Committee, formerly known as the Intelligence Committee.”
9:21 A.M. — Rep. Devin Nunes (R-CA) says in his opening statement that President Trump is being accused of committing “thought crimes.”
9:18 A.M. — President Trump urges Americans to read the pair of transcripts of his telephone calls with Ukrainian President Volodymyr Zelensky.
9:18 A.M. — Rep. Lee Zeldin (R-NY) fact-checks Schiff in real-time:
9:16 A.M. — Schiff”s still going.
9:13 A.M. — More of Schiff’s opening remarks:
9:09 A.M. — Schiff is delivering his opening statement: “In conditioning a meeting with Zelensky and then military aid on securing an investigation of his rival, Trump put his personal and political interests above those of the United States.”
9:06 A.M. — Hill and Holmes have arrived for their testimony.
8:59 A.M. — This is the scene from inside the hearing room moments before Hill and Holmes testify.
8:43 A.M. — Holmes joins Hill in arriving on Capitol Hill for their testimony.
8:34 A.M. — Hill arrives on Capitol Hill for her testimony.
8:15 A.M. — President Trump laces into House Intelligence Committee Chairman Adam Schiff (D-CA) ahead of today’s hearing:
8:03 A.M. — Hill expected to tell congressional investigators that partisan politics propagated a “fictional” narrative regarding Ukraine. “I refuse to be part of an effort to legitimize an alternate narrative that the Ukrainian government is a U.S. adversary, and that Ukraine — not Russia — attacked us in 2016,” she is expected to say in her opening statement.


The best keyboard layout for Clojurists
Keyboards, oh my!
If you're a programmer, you spend most of your working life on your keyboard, and a good keyboard layout can make the difference between touch typing and carpal syndrome.

It was painful and frustrating at the beginning, when I saw my typing speed precipitating from a respectable 80 words per minute to a horrific 20wpm. But now, now that touch typing has no mysteries for me on this mystical keyboard, now I got beyond my past self, recently crushing the 90wpm milestone. Hooray!
(def best)
In this data driven world, we constantly need to verify whether the decisions we make are still valid, and therefore the question: would Colemak be the best keyboard for me? Am I losing by sticking with the wrong choice? And would I be even willing to switch again keyboard layout in the foreseeable future?
While the answer to the last question is a roaring "NO!", I needed to know. I needed data. But how?
Well, first things first, I type lots of Groovy and Clojure these days. But I don't care for the former language, my heart is really about my dear lispy friend. I just had to find a way to produce an automatic comparison, surely enough, here it is: the Keyboard Layout Analyzer, courtesy of Patrick Gillespie.
I love the Internet.
The winner is..
Aaaaand here it is: a comparative analysis of what keyboard is the best for Clojure Developers™, after feeding the analyzer with clojure/core.clj
, with its impressive 7447 lines of code:
Now you know. Now it's official.
Happy touch typing, everyone!
p.s.: you can read the details of the comparison here


|
Hammerhead code
Documentation of the the source code of an AUV of Team Tiburon, NIT Rourkela
|
the below class contains all variables and functions for finding the gate More...
#include <FindGate.h>
Public Member Functions | |
| FindGate (int, int) | |
| parameterised constructor ; initialises all the int and bool parameters of the class More... | |
| ~FindGate () | |
| double | findTimeDifference (TimePoint, TimePoint) |
| function for finding out time difference between auv moving commands for finding the gate and returns the same More... | |
| void | findNext () |
| function which checks the corresponding auv command and executes it accordingly More... | |
Public Attributes | |
| const int | INITIAL_DEPTH_TIME = 2 |
| const int | INITIAL_FORWARD_TIME = 20 |
| const int | SWAY_WAIT_TIME = 3 |
| const int | SWAY_TIME = 10 |
| int | SWAY_MAX = 5 |
| TimePoint | startTime |
| int | currentMode |
| int | nextMode |
| bool | initialDepthStarted |
| bool | initialDepthComplete |
| bool | initialForwardStarted |
| bool | initialForwardComplete |
| bool | waitBeforeSwayStarted |
| bool | waitBeforeSwayCompleted |
| bool | swayStarted |
| bool | swayCompleted |
| bool | readyToStartSearch |
| bool | searchStarted |
| bool | searchComplete |
| int | forwardSpeed |
| int | sideSpeed |
the below class contains all variables and functions for finding the gate
| FindGate::FindGate | ( | int | next, |
| int | swayRange | ||
| ) |
parameterised constructor ; initialises all the int and bool parameters of the class
| [in] | int(1) | next mode of the auv |
| [in] | int(2) | sway range |
| FindGate::~FindGate | ( | ) |
destructor
| void FindGate::findNext | ( | ) |
function which checks the corresponding auv command and executes it accordingly
function for finding out time difference between auv moving commands for finding the gate and returns the same
| [in] | TimePoint(1) | current clock time |
| [in] | TimePoint(2) | start time of auv command |
| int FindGate::currentMode |
| int FindGate::forwardSpeed |
| const int FindGate::INITIAL_DEPTH_TIME = 2 |
| const int FindGate::INITIAL_FORWARD_TIME = 20 |
| bool FindGate::initialDepthComplete |
| bool FindGate::initialDepthStarted |
| bool FindGate::initialForwardComplete |
| bool FindGate::initialForwardStarted |
| int FindGate::nextMode |
| bool FindGate::readyToStartSearch |
| bool FindGate::searchComplete |
| bool FindGate::searchStarted |
| int FindGate::sideSpeed |
| TimePoint FindGate::startTime |
| int FindGate::SWAY_MAX = 5 |
| const int FindGate::SWAY_TIME = 10 |
| const int FindGate::SWAY_WAIT_TIME = 3 |
| bool FindGate::swayCompleted |
| bool FindGate::swayStarted |
| bool FindGate::waitBeforeSwayCompleted |
| bool FindGate::waitBeforeSwayStarted |


A system for scalable, fault-tolerant, distributed computation over large data collections.
Applications implement {@link net.nutch.mapReduce.Mapper} and {@link net.nutch.mapReduce.Reducer} interfaces. These are submitted as a {@link net.nutch.mapReduce.MapReduceJob} and are applied to data stored in a {@link net.nutch.fs.NutchFileSystem}.
See Google's original Map/Reduce paper for background information.


influenza the and virus hemagglutinin {background margin {border-style for antibody neutralizing px;} #ffffff;} antibodies human against broadly with epitopes universal Acad Natl Sci avian USA./pnas. Virol./JVI.- epitope from head monoclonal px; that vaccine {font-family development font-size viral Infect cells conserved double; fusion pandemic viruses binding border-color border-width globular solid; {font-style {font-weight (HN) Medical This bold characterization courier; em; have interface membrane protection pt;} site targeting vaccine-induced


behave provides 2 different concepts for reporting results of a test run:
- formatters
- reporters
A slightly different interface is provided for each “formatter” concept. The Formatter is informed about each step that is taken. The Reporter has a more coarse-grained API.
The following formatters are currently supported:
| Name | Mode | Description |
|---|---|---|
| help | normal | Shows all registered formatters. |
| json | normal | JSON dump of test run |
| json.pretty | normal | JSON dump of test run (human readable) |
| plain | normal | Very basic formatter with maximum compatibility |
| pretty | normal | Standard colourised pretty formatter |
| progress | normal | Shows dotted progress for each executed scenario. |
| progress2 | normal | Shows dotted progress for each executed step. |
| progress3 | normal | Shows detailed progress for each step of a scenario. |
| rerun | normal | Emits scenario file locations of failing scenarios |
| sphinx.steps | dry-run | Generate sphinx-based documentation for step definitions. |
| steps | dry-run | Shows step definitions (step implementations). |
| steps.doc | dry-run | Shows documentation for step definitions. |
| steps.usage | dry-run | Shows how step definitions are used by steps (in feature files). |
| tags | dry-run | Shows tags (and how often they are used). |
| tags.location | dry-run | Shows tags and the location where they are used. |
Note
You can use more that one formatter during a test run. But in general you have only one formatter that writes to stdout.
The “Mode” column indicates if a formatter is intended to be used in dry-run (--dry-run command-line option) or normal mode.
The following reporters are currently supported:
| Name | Description |
|---|---|
| junit | Provides JUnit XML-like output. |
| summary | Provides a summary of the test run. |


I was born and raised in Ocala, FL. I was raised by both of my parents who are still together. I have an older brother. Anyone that has an older sibling can attest that being the youngest can be very hard. It made me tough and resilient. I pride myself on hard work and dedication. I graduated high school with honors in 2002 and went on to attend College of Central Florida, University of North Florida, and graduated from Flagler College with a Bachelor of Science degree in December of 2008.
I started running in elementary school over 25 years ago. My love and passion for staying active and being fit has allowed me some tremendous opportunity. The dedication and training associated with these races spreads to other aspects of my life. I strive every day to be motivated and to be the best version of myself as possible.


Walen Farm
Access code:
{{happening.subject}} ({{happening.start_date | date}} - {{happening.end_date | date}})
remove
New Event


Antonio Zamorano
Hello there, awesome person!
This
Is an
My favorite site is
GitHub
!
I love cats
Play videogames
I make code


grain yield wheat NUE crop efficiency nitrogen high protein use cultivars fertilizer M.J. low root {border-style application increased uptake px;} #ffffff;} Bot. increasing inputs Plant genes senescence production variation yields Exp. Foulkes Hawkesford traits efficient expression higher potential required soil Sci. available impact improvement increase nitrate taken trait Fig. Good canopy content supply systems Barraclough analysis applied function genetic germplasm important modern photosynthetic proliferation remobilization specific Cereal NUtE capture greater however, input major negative plant px; selection {font-family NUE. P.R. Parry Shewry associated biomass cereal font-size optimum particularly post-anthesis quality roots scope total winter yield, Agric. Crops However, Ortiz-Monasterio Raun Wheat Whilst agronomic amino breeding conditions contribute cultivars, double; essential glutamine highly improved improving inputs, land leaching little need nutrient positive synthetase uptake, A.G. Agron. Bingham Bogard Field Food Gaju Genetic Increasing M.A.J. P.B. P.J. Res. Snape agricultural border-color border-width canopy, cereals complex crops defined different difficult effects fertilizers filling genotypic grain, influence mechanisms partitioning period proteins relationship released role solid; steps study substantial targeting using {font-style {font-weight (see Africa Biol. Crop Gooding Gouis Heumez Improving J.W. Johnson Kichey Moll NUpE NUpE, Nitrogen Physiol. Science Shewry, Shrawat Sylvester-Bradley Wan Wang achieved additional affinity ammonium anthesis apparent assimilation best better bold bread clear contributing courier; data development deviation economic effect effective em; environmental example expense field filling, form greatest harvest having impacts improve indicated introduction key losses modest needs nutritional optimal organic overall processes production. pt;} races rate require seedling selected specifically spring trials used utilization


Scottish Fairy and Folk Tales, by George Douglas, [1901], at sacred-texts.com
A FOX one day met a cock, and they began talking.
"How many tricks canst thou do?" said the fox.
"Well," said the cock, "I could do three; how many canst thou do thyself?"
"I could do three score and thirteen," said the fox.
What tricks canst thou do?"

"I could do that myself," said the cock.
"Do it," said the fox.


@Target([AnnotationTarget.CLASS]) annotation class StartableByRPC
Any FlowLogic which is to be started by the RPC interface (net.corda.core.messaging.CordaRPCOps.startFlowDynamic and net.corda.core.messaging.CordaRPCOps.startTrackedFlowDynamic) must have this annotation. If it's missing the flow will not be allowed to start and an exception will be thrown.
<init> |
Any FlowLogic which is to be started by the RPC interface (net.corda.core.messaging.CordaRPCOps.startFlowDynamic and net.corda.core.messaging.CordaRPCOps.startTrackedFlowDynamic) must have this annotation. If it's missing the flow will not be allowed to start and an exception will be thrown. StartableByRPC() |


Travel Agency - Reservation
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Product Description
This creamy, gentle soap is a perfect marriage of oatmeal, goat's milk, & honey.
Oatmeal soothes sensitive skin and exfoliates with a gentle touch. It is said that Cleopatra took
daily baths in goat’s milk,which has been used for years to nourish dry skin and soothe eczema and
other irritated skin conditions.
Goat Milk, one of nature’s finest moisturizers, contains
alpha-hydroxy acids.
The goat's milk lends a rich, creamy, and silky quality to the lather.
The ground oatmeal
provides a pleasant warm scent that blends delightfully with the milk and honey aroma.


Currently based in Toronto, Ontario, Canada.
Currently working at HSBC as a C++ Developer.
My name is Viktor and I am a current Master's of Science Computer Science at Georgia Institute of Technology. Before this, I graduated from the Univeristy of Waterloo, where
I completed my Bachelor's of Mathematics Honours Computer Science.
Besides from writing long commit messages and forgetting semicolons,
I enjoy talking horology
and watches, and also have a keen interest in men's fashion.
Additionally, I like to live a healthy lifestyle. I enjoy powerlifting,
olympic weightlifting, bicycling, swimming and running. I have played rugby since 2011,
not only that, but it is also one of my favourite sports to watch.
Aside from excercise, I also love wasting time by watching TV shows,
and am one of
the oldest proponent of bringing 'Person of Interest' back for
a sixth season.
Finally I have an amateur interest in personal finance and
investing. I have devoted so much time listening to podcasts
about market betas and volatility, and reading books
about the firm foundation theory, that I am a bit suprised I have
time to do anything else.
Please have a look around my personal website, and get in touch about jobs, watches, personal finance,
typos (thanks) or just to say hi! (You can reach me at: contact (at) viktorzhou (d0t) com)
Refer to resume at the top of this page for current experience.
At Nielsen, I worked in the Canadian Technology Department, on the team responsbile for rewriting the old core calculation engine. While on that team, I contributed to various parts of the project:
1. Data Preprocessing Program
This application took the existing underlying data pipeline and eliminated the numerous files from the old workflow. This was achieved by aggregating the data into a single JSON file to be taken as input by the new calculation engine. Due to the C++ dominate workflow, the POCO JSON library was used to format the resulting JSON. Within the preprocessing, additional logic was added in order to streamline the downstream calcualtion and optimize process time.
2. New Core Calculation Engine
The new calculation engine was designed to replace the old engine's functionaility, but improving the design with Object-Oriented design and leveraging the Curiously Recurring Template Pattern in order to reduce the runtime cost of by implementing static polymorphism.
In order to benchmark the performance, we used linux tools such as perf stat and gprof to benchmark the CPU time and to get a breakdown of hotspots. Simiialry, using Visual Studio 2019 disagonitc tools, the CPU usage and CPU time was used to get a benchmark of performance.
3. Python Scripts
On the Linux servers, we developed and maintained Python scripts in order to run test orders for testing the complete order flow, the correctness of our new calculation engine compared to the old, and also to benchmark the performance of our new engine.
4. Sybase Investigation
During development, we realized that even though our intermediary results matched with the old engine, our end to end testing showed discrepencies. I was tasked with tracking down the source of this error. I proceeded by manually running all the programs in the pipeline and comparing intermediary Sybase tables using SQL. Here I was able to backtrace the root cause of the mismatch, and by investigating the SQL stored-procedures of the downstream programs, I was able to determine the reason for the problem. One of the files that the old engine was producing was actually required by downstream programs, thus we implemented the required functionailty to support that file and were able to resolve this problem.
At Scotiabank, I worked in the
Global Banking and Markets (GBM)
division, with the Global Analytics and Financial Engineering (GAFE)
team.
During my time with GAFE, I worked on two distinct projects:
1. Develop an Object Oriented data handling system in Python
Due to new
ISDA
regulations, Scotibank needed to a new methodology in
order to comply with the Standard Initial Margin Model (SIMM). Previously,
a proof-of-concept was developed for the core calculations. In order to
test the existing solution, the GAFE team was tasked to develop a pipeline
for the data flowing through, extract relevant trade information and to
feed the subset of data through the calculator.
This aggregation and scripting was done through populating our own
Object-Oriented data structure with Python scripts. Our group used
BitBucket for revision control and peer review. Throughout the project, our team
was able to reduce the processing time of over one million trade entries
by more than 400% by minimizing I/O to file, while still considering space,
time and security tradeoffs.
2. Develop new portfolio functionality in C++
One of the softwares used by internal traders at Scotiabank is
IBM Algo One.
This is an enterprise software solution developed by IBM. The core code
of the software is developed in C++ and is an Object-Oriented Program.
One of the departments requested GAFE to integrate new portfolio functionalities
for the software. Thus I was tasked with developing code to handle new
portfolio dynamics. Alongside the implementation, I also wrote
Bash Shell scripts to retrieve archived market data for testing.
Furthermore, I added a new test suite to the existing daily overnight regression
testing system. Finally, to accompany the changes,
I composed a technical manual detailing sample useage and implementation
specifics.
Current GPA: 4.0
Specialization in Computing Systems.
| Elective computer science courses: |
|---|
| CS6200: Graduate Intro to Operating Systems |
|
|
At the University of Waterloo, during my undergraduate program, I was actively involved
with the athletic department. Throughout my degree, I was rostered on the
Varsity Men's Rugby team for all four years.
Alongside playing rugby, I was also
a Computer Science Tutor for the Athletics Department, helping fellow varsity
athletes with computer science and math courses. The courses that I tutored were:
Object-Oriented Software Development (CS246), Data Structure (CS240), Algebra
(MATH135), Calculus I (MATH136) .
| Upper year core computer science courses: | Upper year elective computer science courses: |
|---|---|
| CS350: Operating Systems | CS456: Computer Networks |
| CS341: Algorithms | CS486: Intro to Artificial Intelligence |
| CS371: Intro to Computational Math | CS454: Distributed Systems |
| CS360: Intro to Theory of Computing | CS349: User Interface |
An international, live, four hour coding competition consisting of one NP-hard problem. Our team tried a variety of solutions including Monte Carlo (random algorithm) simualtions and different greedy scheduling aglorithms.
View Certificate|
View Project
International Ranking: 2288/10724|Canadian Ranking: 40th


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{%extends "base.html"%} {% block script %} {% include "datepicker_script.html" %} {%endblock%} {% block breadcrumb %} | Make a Check Request {% endblock %} {%block body%}
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At some point soon I should sort out how to clean up the unused site folders on my little Raspberry Pi server, and configure a chron tab to auto-update the SSL certs.
But for now, it's not automated, I just login and update by hand.
There's not really much to it, but since I only have to do this once every few months, it's nice to have a reminder of what to do.


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Enumerable#map
Find a Way!
March 1, 2015
Hey, welcome back!
So last week we got an intro to Ruby and learned about arrays and hashes. This week I took a look at the Array and Hash classes, and became more familiar with some of the methods in those classes. While exploring Arrays and Hashes, I came across the Enumerable class.
Enumerable is a module in Ruby that contains a list of many more methods. These methods can be used by classes that hold their own #each method. The #each method should be able to pass each item in the collection, through a code block. Because the Array and Hash classes have their own each methods, we can use enumerable methods. One of the coolest enumerable methods I came across this past week was #map.
The Enumerable#map method returns a new array with the results of running block once for every element in enum (according to Ruby-Doc). What does this mean? It means that map takes each object listed in an array or hash, or any other class that takes #map, and it applies the code block to each item. Let’s look at an example of calling map on an array:
group_4 = [“sherman”, “sid”, “tanya”, “will”, “geovanna”]
new_array = group_4.map {|name| name.capitalize}
Looks like someone lazily added names to group_4, didn’t even bother to capitalize. So, the code above, will take the objects in our array, group_4, go through each one and and return a new array with the names capitalized. Check it out:
group_4 = [“sherman”, “sid”, “tanya”, “will”, “geovanna”]
New_array = [“Sherman”, “Sid”, “Tanya”, “Will”, “Geovanna”]
So, we see that the original array remained the same. Our new array is what has changed. #map works on hashes too. We just have to make sure we specify what we want to run the code on:
group_hash = {
“person1”=>“sherman”,
“person2”=>“sid”,
“person3”=>“tanya”,
“person4”=>“will”,
“person5”=>“geovanna”
}
group_array = group_hash.map {|role,name| [role.upcase, name.capitalize]}
So again, this code is calling for the names to be capitalized, but it wants the role to be all caps. Because this is a hash, it should return a new array, with nested arrays consisting of the key/value pairs, with the code block applied. The original hash remains untouched:
group_hash = {
“person1”=>“sherman”,
“person2”=>“sid”,
“person3”=>“tanya”,
“person4”=>“will”,
“person5”=>“geovanna”
}
group_array= [[“PERSON1”,“Sherman”] [“PERSON2”,“Sid”],[“PERSON3”,“Tanya”], [“PERSON4”,“Will”],[“PERSON5”, “Geovanna”]]
And the Enumerable#map is that simple! The possibilities are endless with this one method. Imagine what you can do with all of the other methods out there! What do you think of the map method? Ready to try it out?
Thanks for reading! Don't forget to check back next week!
- Geovanna
-
Click here for more posts, or select a title below:
- Git It? Got It? Good?
- What's Cooking at DBC?
- Are You In or Out?
- Don't Mind Me!
- The Index is Key


We wish to inform you that Vaccination Services for your children are available at all the Pediatric Outpatient Clinics of Rainbow Hospitals.Although the schedule of the vaccines may differ in different countries, the vaccines given are mostly the same.The make and brands of the vaccines used at our centres are at par with International Standards and comply with the schedules of most of the countries and regions.
Use this immunization scheduler to know the vaccinations to be given to your baby at the right time.
Name of the Baby
Date of Birth
Check our recommended vaccine schedule & mark your calendars for upcoming vaccination days.
Dr. Farhan Shaikh
Mr. Deepak
Ms. Pranitha
An infection happens when a "microorganism" (a living thing so small that we can't see them individually) begins to grow and multiply in the body. We all have millions of microorganisms on and in our bodies. There are many bacteria (microorganisms that can live independently) on our skin, and even more in our intestines and mouths. These bacteria are not only fairly harmless (unless your immune system isn't working quite right) but actually help you out.
However, there are many bacteria that will make you sick. Some are usually not found in the body unless you are sick. In other cases, normally harmless or helpful bacteria may overgrow or invade parts of the body where they aren't supposed to be.There are also viruses, particles that cannot live by themselves but which can invade your body's cells, take over those cells' growth machinery, and make the cells start producing more virus particles.
Teething patterns vary greatly from child to child. Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age.  Some don’t have any teeth at their first birthday, while others are sporting a mouthful by then. The vast majority of babies sprout their first teeth between 4 and 7 months of age. (If your child still doesn’t have any teeth by 15 to 18 months, schedule a visit with a pediatric dentist)


What kind of stuff have I worked on? And what am I currently working on?
I made a countdown clock that counts down to my next birthday. It's customizable so you can set time countdown to whatever you want.
Ever wanted a count down to your birthday? Now you can!
Probably not meta enough. My webpage has gone through a lot of different versions. To see them all, see this GitHub link.
As part of my study at ITU, I worked in a group to develop an Maps-like application. Read my thoughts about the project here.
This is sort of an ongoing project for me. The initial idea was to create a web version of my first programming project, Pirate Hunter, see more below.
 In this article, I describe my final exam project.


|
SideCar
|
Base exception class. More...
#include </Users/howes/src/sidecar/Utils/Exception.h>
Public Member Functions | |
| Exception () throw () | |
| Default constructor. | |
| Exception (const char *err) throw (std::invalid_argument) | |
| Constructor. More... | |
| Exception (const std::string &err) throw () | |
| Constructor. More... | |
| Exception (const Exception &rhs) throw () | |
| Copy constructor. More... | |
| virtual | ~Exception () throw () |
| Destructor. More... | |
| Exception & | operator= (const Exception &rhs) throw () |
| Assignment operator. More... | |
| const std::string & | err () const throw () |
| Accessor for the error text of the exception. More... | |
| virtual const char * | what () const throw () |
| Override of std::exception method. More... | |
| template<typename T > | |
| void | append (const T &value) |
| Append a value to the exception text. More... | |
Base exception class.
Nothing too special about this over the stock C++ exception class, except that it does have the wonderful ability to accumulate error information via the append() method.
Definition at line 24 of file Exception.h.
| Exception::Exception | ( | const char * | err | ) | |
| throw | ( | std::invalid_argument | |||
| ) |
Constructor.
| err | C character string to use as the start of the error. Throws exception if NULL pointer is passed in. text. |
Definition at line 5 of file Exception.cc.
|
inline |
Constructor.
| err | C++ string to use as the start of the error text. |
Definition at line 43 of file Exception.h.
| Exception::Exception | ( | const Exception & | rhs | ) | |
| throw | ( | ||||
| ) |
Copy constructor.
Seeds the output formatter with the value from the given instance.
| rhs | instance to copy from |
Definition at line 13 of file Exception.cc.
|
virtual |
|
inline |
Append a value to the exception text.
| value | data to write to exception data capture stream |
Definition at line 79 of file Exception.h.
| const std::string & Exception::err | ( | ) | const | |
| throw | ( | |||
| ) |
Accessor for the error text of the exception.
Definition at line 49 of file Exception.cc.
Referenced by Logger::Configurator::ConfiguratorException< MissingNumVersions >::ConfiguratorException(), Logger::Log::GetNames(), SideCar::IO::RecordIndex::RecordIndex(), SideCar::IO::TimeIndex::TimeIndex(), what(), and Announcer::~Announcer().
Assignment operator.
| rhs | value to copy from |
Definition at line 27 of file Exception.cc.
Referenced by Threading::Mutex::getMutexID(), and Threading::Thread::isActive().
|
virtual |
Override of std::exception method.
Takes error text from formatted string stream.
Definition at line 62 of file Exception.cc.
References err().
Referenced by Args::Args(), and SideCar::IO::Task::doParametersChange().


{% load static %}
MaRQ is a tool that shows how much a dataset can profit from the Web of Data. It provides plausible queries among a set of RDF datasets by comparing their RDF mappings.


R/acs.R
get_recurrence_covariates.Rd
get_recurrence_covariates
function assesses the recurrence of each of the identified candidate empirical covariates
based on their frequency of occurrence for each patient in the baseline period and generates three binary recurrence covariates
for each of the identified candidate empirical covariates. This is the second step in the automated covariate selection process.
The first step of identifying empirical candidate covariates is done via get_candidate_covariates
function.
See 'Automated Covariate Selection'section below for more details regarding the overall process.
get_recurrence_covariates( df, patientIdVarname, eventCodeVarname, patientIdVector )
| df | The input |
|---|---|
| patientIdVarname | The variable name which contains the patient identifier in the |
| eventCodeVarname | The variable name which contains the covariate codes (eg:- CCS, ICD9) in the |
| patientIdVector | The 1-D vector with all the patient identifiers. This should contain all the patient IDs in the original two
cohorts. This vector can simply be the |
A named list containing two R objects
recurrence_data
A data.frame
containing all the binary recurrence covariates for all the patients in wide format.
This means that this data.frame
will have a dimension with number of rows equal to number of distinct patients and number of
columns equal to number of binary recurrence covariates plus 1 (for the patient Id variable). The binary recurrence covariate is prefixed with
a 'rec_' to indicate that the covariate is a 'reccurrence covariate' and suffixed with '_once', '_sporadic' or '_frequent'.
See details
section above for details.
patientIds
The list of patient ids present in the original input df
. This is exactly the same as the input patientIdVector
The recurrence covariates are generated based on the frequency (counts) of occurrence of each empirical candidate covariates that got
generated by the generate_candidate_covariates
function. This is done by looking at the baseline period of each patients and
assessing whether the covariate occurred only once or sporadically or frequently. That is, a maximum of three recurrence covariates
for each candidate covariate is created and returned.
once
Indicates whether or not the covariate occurred more than or equal to 1 number of times for the patient
sporadic
Indicates whether or not the covariate occurred more than or equal to median (median of non-zero occurrences of
the candidate covariate) number of times for the patient.
frequent
Indicates whether or not the covariate occurred more than or equal to upper quartile (75th percentile of non-zero
occurrences of the candidate covariate) number of times for the patient
Note that if two or all three covariates are identical for any of the binary recurrence covariates, only the distinct recurrence covariate
is returned. For example, if once == sporadic == frequent for the candidate covariate (median and upper quartile both are 1), then only the 'once' recurrence covariate is
returned. If once != sporadic == frequent, then 'once' and 'sporadic' is returned. If once == sporadic != frequent, then 'once'
and 'frequent' are returned. If none of three recurrence covariates are identical, then all three are returned.
The theoretical details of the algorithm implemented is detailed in the publication listed below in the References
section.
get_recurrence_covariates
is the function implementing what is described in the 'Assess Recurrence' section
of the article.
The three steps in automated covariate selection are listed below with the functions implementing the methodology
Identify candidate empirical covariates: get_candidate_covariates
Assess recurrence: get_recurrence_covariates
Prioritize covariates: get_prioritised_covariates
Schneeweiss S, Rassen JA, Glynn RJ, Avorn J, Mogun H, Brookhart MA. High-dimensional propensity score adjustment in studies of treatment effects using health care claims data Epidemiology. 2009;20(4):512-522. doi:10.1097/EDE.0b013e3181a663cc
Dennis Robert<EMAIL_ADDRESS>#> person_id index_date event_date event_code event_concept_id domain treatment #> 1 21047 2010-06-10 2010-02-21 78650 44825809 dx 1 #> 2 21047 2010-06-10 2010-03-01 2449 44828786 dx 1 #> 3 21047 2010-06-10 2010-01-19 25002 44836915 dx 1 #> outcome_date last_enrollment_date #> 1 <NA> 2011-01-01 #> 2 <NA> 2011-01-01 #> 3 <NA> 2011-01-01#> person_id treatment outcome_date #> 1 21047 1 <NA> #> 2 378287 1 <NA> #> 3 320862 1 <NA>patientIds <- basetable$person_id step1 <- get_candidate_covariates(df = rwd, domainVarname = "domain", eventCodeVarname = "event_code" , patientIdVarname = "person_id", patientIdVector = patientIds,n = 100, min_num_patients = 10)#>#> [1] TRUEstep2 <- get_recurrence_covariates(df = out1, patientIdVarname = "person_id", eventCodeVarname = "event_code", patientIdVector = patientIds) out2 <- step2$recurrence_data


Site Map
News and updates
| New releases and related tools will be announced through the mailing list |
Getting Help
| Questions about Cufflinks and Cuffdiff should be posted on our Google Group. Please use<EMAIL_ADDRESS>for private communications only. Please do not email technical questions to Cufflinks contributors directly. |
Releases
| version 2.2.0 | 5/25/2014 |
| Source code | |
| Linux x86_64 binary | |
| Mac OS X x86_64 binary |
Related Tools
- Monocle: Single-cell RNA-Seq analysis
- CummeRbund: Visualization of RNA-Seq differential analysis
- TopHat: Alignment of short RNA-Seq reads
- Bowtie: Ultrafast short read alignment
Publications
-
Trapnell C, Williams BA, Pertea G, Mortazavi AM, Kwan G, van Baren MJ, Salzberg SL, Wold B, Pachter L. Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
Nature Biotechnology doi:10.1038/nbt.1621
-
Roberts A, Trapnell C, Donaghey J, Rinn JL, Pachter L. Improving RNA-Seq expression estimates by correcting for fragment bias
Genome Biology doi:10.1186/gb-2011-12-3-r22
-
Roberts A, Pimentel H, Trapnell C, Pachter L. Identification of novel transcripts in annotated genomes using RNA-Seq
Bioinformatics doi:10.1093/bioinformatics/btr355
-
Trapnell C, Hendrickson D,Sauvageau S, Goff L, Rinn JL, Pachter L Differential analysis of gene regulation at transcript resolution with RNA-seq
Nature Biotechnology doi:10.1038/nbt.2450
Contributors
- Cole Trapnell
- Adam Roberts
- Geo Pertea
- David Hendrickson
- Loyal Goff
- Martin Sauvageau
- Brian Williams
- Ali Mortazavi
- Gordon Kwan
- Jeltje van Baren
- John Rinn
- Steven Salzberg
- Barbara Wold
- Lior Pachter
Links
GFF filesSome of the Cufflinks modules take as input a file (or more) containing known gene annotations or other transcript data in GFF format (General Feature Format). GFF has many versions, but the two most popular that are supported by Cufflinks (and other programs in the Tuxedo suite, like Tophat) are GTF2 (Gene Transfer Format, described here) and GFF3 (defined here). Here are a few notes about the way these formats are interpreted by the Cufflinks programs. GTF2As seen in the GTF2
specification, the transcript_id attribute is also required by
our GFF parser, and a gene_id attribute, though not strictly
required in our programs, is very useful for grouping alternative transcripts under a gene/locus identifier.
An optional gene_name
attribute, if found, will be taken and shown as
a symbolic gene name or short-form abbreviation (e.g.
gene symbols from HGNC or Entrez Gene). Some annotation
sources (e.g. Ensembl) place a "human readable" gene
name/symbol in the gene_name
attribute, like a HUGO symbol (while gene_id might be
just an automatically generated numeric identifier for the
gene). Example of a GTF2 transcript record with minimal attributes: GFF3As defined by the GFF3 specification, the parent features (usually transcripts, i.e. "mRNA" features) are required to have an ID attribute, but here again an optional gene_name attribute can be used to specify a common gene name abbreviation. If gene_name is not given, it can be also inferred from the Name or ID attributes of the parent gene feature of the current parent mRNA feature (if given in the input file). Exon or CDS features arerequired to have a Parent attribute whose value must match the value of the ID attribute of a parent transcript feature (usually a "mRNA" feature).Feature restrictionsFor various reasons we currently assume the following limits (maximum values) for the genomic length (span) of gene and transcript features:
Due to these requirements, Cufflinks programs may fail to load the user provided GFF file, and an error message should specify the offending GFF record. The user is expected to remove or correct such GFF records in order to continue the analysis. Example of a GFF3 transcript record with minimal attributes: The gffread utilityA program called gffread is included with the Cufflinks package and it can be used to verify or perform various operations on GFF files (use gffread -h to see the various usage options). Because the program shares the same GFF parser code with Cufflinks and other programs in the Tuxedo suite, it could be used to verify that a GFF file from a certain annotation source is correctly "understood" by these programs. Thus the gffread utility can be used to simply read the transcripts from the file and print these transcripts back, in either GFF3 (default) or GTF2 format (-T option), discarding any extra attributes and keeping only the essential ones, so the user can quickly verify if the transcripts in that file are properly parsed by the GFF reader code. The command line for such a quick cleanup and visual inspection of a given GFF file could be:gffread -E annotation.gff -o- | more This will show the minimalist GFF3 re-formatting of the transcript records given in the input file (annotation.gff in this example). The -E option directs gffread to "expose" (display warnings about) any potential issues encountered while parsing the given GFF file. In order to see the GTF2 version of the same transcripts the -T option should be added: gffread -E annotation.gff -T -o- | more From these examples it can be seen that gffread can also be used to convert a file between GTF2 and GFF3 formats. Extracting transcript sequences The gffread utility can be used to generate a FASTA file with the DNA sequences for all transcripts in a GFF file. For this operation a fasta file with the genomic sequences have to be provided as well. For example, one might want to extract the sequence of all transfrags assembled from a Cufflinks assembly session. This can be accomplished with a command line like this: gffread -w transcripts.fa -g /path/to/genome.fa transcripts.gtf The file genome.fa in this example would be a multi fasta file with the genomic sequences of the target genome. This also requires that every contig or chromosome name found in the 1st column of the input GFF file (transcript.gtf in this example) must have a corresponding sequence entry in chromosomes.fa. This should be the case in our example if genome.fa is the file corresponding to the same genome (index) that was used for mapping the reads with Tophat. Note that the retrieval of the transcript sequences this way is going to be quicker if a fasta index file (genome.fa.fai in this example) is found in the same directory with the genomic fasta file. Such an index file can be created with samtools prior to running gffread, like this: samtools faidx genome.fa Then in subsequent runs using the -g option gffread will find the fasta index and use it to speed up the extraction of the transcript sequences. |


You have become stranded on an island, and you sure would like to get out! There are some caves nearby with eerie moans emananting from the entrances. Maybe you can find a flare gun or a radio nearby to call for help.


{% extends "base.html" %} {% block content %}
Leaderboard for pointless kids
When you ride with your kids (that is, they are riding with you on their own bikes), tag your ride #withkid[kid codename] and they'll show up here. If you ride with multiple kids at once, multiple hashtags are supported.
Keep it consistent and make your name unique. For example, jrenaut's kids picked new names for themselves this year - pepper8cheez and socr4evr11, so when he rides with one or both of them, he adds #withkidpepper8cheez or #withkidsocr4evr11, as appropriate. Keep in mind if you ride with another BAFS parcipant AND your kid, make sure only one of you tags the kid, or else the miles will be double counted.
Questions can go to the forum post for the prize
For the purpose of this contest, a kid is defined as a human being younger than 14 years old. Older than that and they can have their own Strava account.
| Rank | Pointless Kid | Distance |
|---|---|---|
| {{loop.index}} | {{a}} | {{b| round(1)}} |


--- sort_order: 209 tei_id: rdx_v6vzq.p.idm140456972232864 annotation_count: 0 images: small-thumbnail: https://readux.ecds.emory.edu/books/readux:v5mxs/pages/readux:v6vzq/mini-thumbnail/ json: https://readux.ecds.emory.edu/books/readux:v5mxs/pages/readux:v6vzq/info/ full: https://readux.ecds.emory.edu/books/readux:v5mxs/pages/readux:v6vzq/fs/ page: https://readux.ecds.emory.edu/books/readux:v5mxs/pages/readux:v6vzq/single-page/ thumbnail: https://readux.ecds.emory.edu/books/readux:v5mxs/pages/readux:v6vzq/thumbnail/ title: Page 205 number: 205 permalink: "/pages/205/" ---


Another Engine
Once, I used Jekyll. Then I switched to Pelican. I’m finally here on Hugo, and hoping that this will make it easier to keep things updated. The eternal question when chosing a method to publish a blog is, why publish a blog. I don’t really have an answer for that yet. I wish I did. Honestly, I do.


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'tele' (prefix): at a distance
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This is the grouped Bar chart that was shown on the example page as of March 2014.
This goes in the documents header:<script src="RGraph.common.core.js"></script> <script src="RGraph.bar.js"></script>Put this where you want the chart to show up:
<canvas id="cvs" width="600" height="250"> [No canvas support] </canvas>This is the code that generates the chart - it should be placed AFTER the canvas tag(s):


{% extends "main/v8-hj/layout-v8-hj.html" %} {% block pageTitle %} NRS Diagnostic Prototype {% endblock %} {% block beforeContent %} {% if back %} {{ govukBackLink({ text: back.text, href: back.href }) }} {% endif %} {% endblock %} {% block content %}
In the final part of this lesson, you will learn how to end a formal email appropriately.
Once you have written the main body of your email, it is important to end the email appropriately with a closing statement and a formal sign off.
Closing
Sign off
Finally, a formal email needs to sign-off appropriately.
If you do not know the name of person you are writing to, you must use:
Or, if you know the name of the person you are writing to use:


Attorney General (Dept) / Crime Prevention & Justice Administration Division
Budget & Finance (Dept) / Employer-Union Health trust Fund
Hawaiian Home Lands (Dept) / Homestead Services Division
Attorney General (Dept) / Hawaii Criminal Justice Data Center
Health (Dept) / Health Resources Administration
Budget & Finance (Dept) / Employee Retirement System
Human Services (Dept) / Office of Information Technology
Defense (Dept) / Chief Information Officer
Transportation (Dept) / Admin Division
Transportation (Dept) / Airports Division
Accounting & General Services (Dept) / Administrative Services Office
Commerce & Consumer Affairs (Dept) / Business Registration Division
Human Services (Dept) / Benefits Employment and Support Services Division
Attorney General (Dept) / Child Support Enforcement Agency
Business Economic Dev & Tourism (Dept) / Foreign trade Zone Division
Accounting & General Services (Dept) / State Procurement Office
Human Resources Development (Dept) / Information Systems Office
Accounting & General Services (Dept)
Accounting & General Services (Dept) / Central Services Division
Accounting & General Services (Dept) / Automotive Management Division
Business Economic Dev & Tourism (Dept) / Office of Planning
Accounting & General Services (Dept) / Public Works Division
Defense (Dept) / Hawaii Youth Challenge Academy
Accounting & General Services (Dept) / Accounting Division
Transport (Dept) / Highways Division
Commerce & Consumer Affairs (Dept) / ISCO
Health (Dept) / Administrative Services Office
Human Resources Development (Dept) / Employee Staffing Division
Budget & Finance (Dept) / Budget Program Planning and Management Division
Hawaiian Home Lands (Dept) / Administrative Services Office (ASO)
Hawaiian Home Lands (Dept) / Fiscal Office (FO)
Defense (Dept) / Hawaii Emergency Management Agency
Human Services (Dept) / Med-QUEST Division
Taxation (Dept)
Land & Natural Resources (Dept) / Bureau of Conveyances
Business Economic Dev & Tourism (Dept) / Business Development & Support Division
Land & Natural Resources (Dept) / Land Division (LAND)
Transport (Dept) / Harbors Division
Business Economic Dev & Tourism (Dept) / Hawaii State Energy Office
Public Safety (Dept) / Administration Division (PSD)
Land & Natural Resources (Dept) / Forestry and Wildlife (DOFAW)
Taxation (Dept) / Information Technology Services
Accounting & General Services (Dept) / Archives Division
Budget & Finance (Dept) / Administrative and Research Office
Hawaiian Home Lands (Dept)
Human Services (Dept) / Division of Vocational Rehabilitation
Health (Dept) / Behavioral Health Administration
Land & Natural Resources (Dept) / Historic Preservation Division (SHPD)
Commerce & Consumer Affairs (Dept) / Insurance Division
Labor and Industrial Relations (Dept) / Wage Standards Division
Budget & Finance (Dept) / Office of the Public Defender
Labor and Industrial Relations (Dept) / Disability Compensation Division
Defense (Dept) / State Office of Homeland Security
Agriculture (Dept) / Administrative Services Office
Business Economic Dev & Tourism (Dept) / Land Use Commission
Agriculture (Dept) / Department-Wide IT Support Services
Human Services (Dept) / Social Services Division
Defense (Dept) / Hawaii Air National Guard
Defense (Dept) / Hawaii Army National Guard
Defense (Dept) / State Office of Veteran Services
Health (Dept) / Environmental Health Administration
Commerce & Consumer Affairs (Dept) / Public Utilities Commission (PUC)
Public Safety (Dept) / Corrections Division
Business Economic Dev & Tourism (Dept) / Hawaii Housing Finance & Development Corporation
Business Economic Dev & Tourism (Dept) / Hawaii Technology Development Corporation
Labor and Industrial Relations (Dept) / Workforce Development Council
Public Safety (Dept) / Sheriff Division
Land & Natural Resources (Dept) / Aquatic Resources (DAR)
Budget & Finance (Dept) / Financial Administration Division
Transport (Dept)
Land & Natural Resources (Dept)
Hawaiian Home Lands (Dept) / Office of the Chairman (OCH)
Commerce & Consumer Affairs (Dept)
Education (Dept)
Land & Natural Resources (Dept) / Engineering Division (ENG)
Business Economic Dev & Tourism (Dept) / Hawaii Green Infrastructure Authority
Defense (Dept) / Joint Staff
Enterprise Technology Services
Enterprise Technology Services / IT Governance Branch
Attorney General (Dept)
Defense (Dept) / Administrative Support Office