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If any of the keys or values in the KeyValuePairs are a ValueSeq , then the elements of the ValueSeq are inserted as arguments in place of the sequence.

FunctionLiteral s enable embedding anonymous functions and anonymous delegates directly into expressions. Type is the return type of the function or delegate, if omitted it is inferred from any ReturnStatement s in the FunctionLiteralBody . ( ArgumentList ) forms the arguments to the function. If omitted it defaults to the empty argument list ( ) . The type of a function literal is pointer to function or pointer to delegate. If the keywords function or delegate are omitted, it is inferred from whether FunctionLiteralBody is actually accessing to the outer context.

For example:

and the following where the return type int and function / delegate are inferred:

If the type of a function literal can be uniquely determined from its context, the parameter type inference is possible.

Anonymous delegates can behave like arbitrary statement literals. For example, here an arbitrary statement is executed by a loop:

When comparing with nested functions , the function form is analogous to static or non-nested functions, and the delegate form is analogous to non-static nested functions. In other words, a delegate literal can access stack variables in its enclosing function, a function literal cannot.

Lambda s are a shorthand syntax for FunctionLiteral s.

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The following part => AssignExpression is rewritten to FunctionLiteralBody :

Example usage:

The implicit conversions of built-in scalar types can be explicitly represented by using function call syntax. For example:

If the argument is omitted, it means default construction of the scalar type:

The first AssignExpression must evaluate to true. If it does not, an Assert Failure has occurred and the program enters an Invalid State .

If the first AssignExpression consists entirely of compile time constants, and evaluates to false, it is a special case; it signifies that it is unreachable code. Compile Time Function Execution (CTFE) is not attempted.

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The second AssignExpression , if present, must be implicitly convertible to type const(char)[] .

Top 12 Natural Home Remedies for UTI

2. Enlarged Prostate Gland

For men, an enlarged prostate gland is more likely to be a problem as they get older.Sincethe prostate wraps around part of the urethra, where urine passes through, an enlarged prostate can lead to urination issuesas well as hematuria. In a study published in Nutrition Research and Practice , Outlet Supply Discount Shop Offer LANSHITINA 2018 new flat shoes thick bottom cartoon loose cvtQo
was shown to decrease enlarged prostate symptoms within a three-month timespan.()

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Maintaining a healthy weight and regularlyexercising also can really boost prostate health. Limiting caffeine and alcohol while increasing intake of healthy fats, such as omega 3 fatty acids , can also be helpful.

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3. Kidney Stones

If you want to avoid or help treat your kidney stones naturally, then there are several foods you’ll want to avoid or reduce as much as possible. These foods include ones high inoxalic acid (things like spinach, rhubarb, tomatoes and peanuts), caffeinated beverages, grapefruit juice, processed factory farm meats and conventional dairy products. Following a plant-based diet with lots of magnesium-rich foods and high-quality water can help decrease the likelihood of kidney stones. Hot water with lemon juice is a great daily drink for kidney stone sufferers. Choosing Summer fashion best walking shoes new shoes Outlet For Cheap ChMERJ
as opposed to refined grain products is also a good idea to reduce your intake of phytic acid, which is an anti-nutrient.

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For more natural remedies for kidney stones, you may want to read What’s Causing Your Kidney Stone Symptoms? Plus 5 Remedies That Work .

What’s Causing Your Kidney Stone Symptoms? Plus 5 Remedies That Work

4. Bladder Cancer

According to the American Cancer Society, hematuria is typically the first sign of bladder cancer . This doesn’t mean that all cases of hematuria mean someone has cancer, but is is common for bladder cancer to reveal itself in the early stages with blood in urine, but little to no pain or additional symptoms. ()

bladder cancer

Many scientific studies have pointed towards Frankincense ( Boswellia serrata ) oil as a potential natural treatment for cancer . One study in particular found that frankincense oil appears to activate pathways that lead to bladder cancer cell death. The study concludes that “frankincense oil might represent an alternative intravesical agent for bladder cancer treatment.” ()

The - (subtraction) operator yields the difference of its arguments. The numeric arguments are first converted to a common type.

The shifting operations have lower priority than the arithmetic operations:


These operators accept plain or long integers as arguments. The arguments are converted to a common type. They shift the first argument to the left or right by the number of bits given by the second argument.

A right shift by n bits is defined as division by pow(2, n) . A left shift by n bits is defined as multiplication with pow(2, n) . Negative shift counts raise a ValueError exception.


In the current implementation, the right-hand operand is required to be at most . If the right-hand operand is larger than an exception is raised.

5.8. Binary bitwise operations

Each of the three bitwise operations has a different priority level:

The operator yields the bitwise AND of its arguments, which must be plain or long integers. The arguments are converted to a common type.

The operator yields the bitwise XOR (exclusive OR) of its arguments, which must be plain or long integers. The arguments are converted to a common type.

The operator yields the bitwise (inclusive) OR of its arguments, which must be plain or long integers. The arguments are converted to a common type.

and_expr xor_expr or_expr

Unlike C, all comparison operations in Python have the same priority, which is lower than that of any arithmetic, shifting or bitwise operation. Also unlike C, expressions like a < b < c have the interpretation that is conventional in mathematics:

comparison comp_operator

Comparisons yield boolean values: True or False .

Comparisons can be chained arbitrarily, e.g., x < y <= z is equivalent to x < y and y <= z , except that y is evaluated only once (but in both cases z is not evaluated at all when x < y is found to be false).

Formally, if a , b , c , …, y , z are expressions and op1 , op2 , …, opN are comparison operators, then a op1 b op2 c ... y opN z is equivalent to a op1 b and b op2 c and ... y opN z , except that each expression is evaluated at most once.

Of course it’s not possible to give an exact recipe for reviewing a pull request, you simply have to assess the code and decide whether you’re happy with it. Nonetheless, here is an incomplete list of things to look for:

Does the pull request contain one logically separate piece of work (e.g. one new feature, bug fix, etc. per pull request)?

Does the pull request follow the guidelines for writing commit messages ?

Is the branch up to date - have the latest commits from master been pulled into the branch?

Does the pull request contain new or updated tests for any new or updated code, and do the tests follow CKAN’s testing coding standards ?

Do all the CKAN tests pass, on the new branch?

Does the pull request contain new or updated docs for any new or updated features, and do the docs follow CKAN’s documentation guidelines ?

Does the new code follow CKAN’s code architecture and the various coding standards for Python, JavaScript, etc.?

If the new code contains changes to the database schema, does it have a database migration ?

Does the code contain any changes that break backwards-incompatibility? If so, is the breakage necessary or do the benefits of the change justify the breakage? Have the breaking changes been added to the changelog ?

Backwards-compability needs to be considered when making changes that break the interfaces that CKAN provides to third-party code, including API clients, plugins and themes.

In general, any code that’s documented in the reference sections of the API , extensions or theming needs to be considered. For example this includes changes to the API actions, the plugin interfaces or plugins toolkit, the converter and validator functions (which are used by plugins), the custom Jinja2 tags and variables available to Jinja templates, the template helper functions, the core template files and their blocks, the sandbox available to JavaScript modules (including custom jQuery plugins and the JavaScript CKAN API client), etc.

Does the new code add any dependencies to CKAN (e.g. new third-party Python modules imported)? If so, is the new dependency justified and has it been added following the right process? See Upgrading CKAN’s dependencies .

Merging a pull request

Once you’ve reviewed a pull request and you’re happy with it, you need to merge it into the master branch. You should do this using the --no-ff option in the git merge command. For example:

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