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Using JPA LoanApplication object while in the detached state will be writ-

Emits the number without any scientific notation and without losing precision Note that reconstituting YAML floats to native floats may lose precision

>> bd = BigDecimalnew("84394878749783498749834734987839723497347") => #<BigDecimal:269fabc,'08439487874 9783498749 8347349878 3972349734 7E29',44(48)> >> bdto_yaml => "--- 84394878749783498749834734987839723497347\n"

buf = realloc(buf, 256);

A BigDecimal would be naturally represented as a JSON number Most libraries, however, parse non-integer JSON numbers directly as floats Clients using those libraries would get in general a wrong number and no way to recover other than manually inspecting the string with the JSON code itself That s why a JSON string is returned The JSON literal is not numeric, but if the other end knows by contract that the data is supposed to be a BigDecimal, it still has the chance to post-process the string and get the real value

Levels The following levels are recognized by the logger, in order of increasing severity:

add(severity, msg)

directly on elds The SCA Java programming model accommodates these alternative approaches as well by supporting injecting references on methods and elds We will take a closer look at each injection style in turn

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FunctionCall c1: ( c1function is [name == "realloc"] and c1 in [AssignmentStatement: rhs is c1 and lhs == c1arguments[0] ] )

The logger class uses meta-programming to wrap the add method in convenience methods named after the severity levels

# equivalent to add(0, "foo") loggerdebug("foo") # equivalent to add(3, "foo") loggererror("bar")

Tracking Control Flow Many static analysis algorithms (and compiler optimization techniques) explore the different execution paths that can take place when a function is executed To make these algorithms efficient, most tools build a control flow graph on top of the AST or intermediate representation The nodes in a control flow graph are basic blocks: sequences of instructions that will always be executed starting at the first instruction and continuing to the last instruction, without the possibility that any instructions will be skipped Edges in the control flow graph are directed and represent potential control flow paths between basic blocks Back edges in a control flow graph represent potential loops Consider the C fragment in Example 43

auto flushing=(period)

Sets the auto-flush period Set to true to flush after every log message, to an integer to flush every N messages, or to false, nil, or zero to never auto-flush If you turn auto-flushing off, be sure to regularly flush the log yourself Otherwise you will quickly eat up all available memory

Constructor-Based Injection Constructor-based injection has the advantage of making dependencies explicit at compile time In our example, LoanComponent cannot be instantiated without CreditService This is particularly useful for testing, where component implementations are instantiated directly in test cases Constructor-based injection also enables elds to be marked as nal so that they cannot be inadvertently changed later on When other forms of injection are used, nal elds can t be used The primary drawback of constructor-based injection is that the constructor parameter list can become unwieldy for components that depend on a number of services

if (a > b) { nConsec = 0; } else { s1 = getHexChar(1); s2 = getHexChar(2); } return nConsec;

Writes log messages buffered in memory to the log s IO stream (generally your application s log file) Only needed when you turn auto-flushing off

initialize(log, level = DEBUG)

Railslogger = ActiveSupport::BufferedLoggernew("myloggertxt")

Figure 44 presents the control ow graph for the fragment The four basic blocks are labeled bb0 through bb3 In the example, the instructions in each basic block are represented in source code form, but a basic block data structure in a static analysis tool would likely hold pointers to AST nodes or the nodes for the tool s intermediate representation When a program runs, its control flow can be described by the series of basic blocks it executes A trace is a sequence of basic blocks that define a path through the code There are only two possible execution paths through the code in Example 43 (the branch is either taken or not) These paths are represented by two unique traces through the control flow graph in Figure 44: [ bb0, bb1, bb3 ] and [ bb0, bb2, bb3 ]

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