Abstract: Described technologies support selectively tracing a process's execution, with some extra tracing done beyond the code the developer wanted traced, but with significantly reduced computational cost, by reducing the number of trace enablement and disablement operations. A trace controller uses a tracing disablement distance variable whose values indicate the computational distance from trace disablement. A distance variable modifier automatically moves the distance variable closer to a stop-tracing value as the process executes. A create task function is modified to include the setting of an indicator that a newly created task is to be traced if a current task or thread is being traced. An execute task function is modified to request the tracing of the newly created task when it is executed based on the indicator, thereby enabling selective tracing that operates across process boundaries and traces asynchronous code execution.

Abstract: To set data breakpoints on properties and certain other functions, constituent data locations (CDLs) that can contribute to computation of the property value or other function result are identified, and respective constituent data breakpoints are added at one or more CDLs by data breakpoint adder code. Each constituent data breakpoint will suspend execution of an inspectable software in response to occurrence of a CDL data entry. The CDLs are identified by CDL identifier code using static data flow analysis, enhanced interpretation, or disassembly, with recursion as appropriate. Kernel or runtime routines, and other routines designated as known, can be excluded from the CDL search. Data locations marked read-only, or that are effectively read-only because they will not be written, can also be excluded.

Abstract: Described technologies aid execution control during replays of traced program behavior. Cross-level mapping correlates source code, an intermediate representation, and native instructions in a trace. The trace includes a record of native code instructions which were executed by a runtime-managed program. The trace does not include any executing instance of the runtime. Breakpoints are set to align trace locations with source code expressions or statements, and to skip over garbage collection and other code unlikely to interest a developer. A live debugging environment is adapted to support trace-based reverse execution. An execution controller in a debugger or other tool may utilize breakpoint ranges, cross-level mappings, backward step-out support, and other items to control a replay execution of the trace.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Described technologies extend the information available from an execution trace of a program by providing heuristically-derived values for memory contents when the trace does not include data expressly showing the value of a memory cell at a particular execution time. Various heuristics are described. The heuristics may use information about the memory cell at other times to produce the derived value. Some heuristics use other trace data, such as whether the memory cell is in a stack, whether there are gaps in the trace, or whether garbage collection or compilation occurred near the time in question. Grounds for the derived value are reported along with the derived value. A time-travel debugger or other program analysis tool can then present the derived values to users, or make other use of the derived values and grounds to assist debugging and other efforts to improve the functioning of a computing system.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: Described technologies aid execution control during replays of traced program behavior. Cross-level mapping correlates source code, an intermediate representation, and native instructions in a trace. The trace includes a record of native code instructions which were executed by a runtime-managed program. The trace does not include any executing instance of the runtime. Breakpoints are set to align trace locations with source code expressions or statements, and to skip over garbage collection and other code unlikely to interest a developer. A live debugging environment is adapted to support trace-based reverse execution. An execution controller in a debugger or other tool may utilize breakpoint ranges, cross-level mappings, backward step-out support, and other items to control a replay execution of the trace.

Abstract: Described technologies support selectively tracing a process's execution, with some extra tracing done beyond the code the developer wanted traced, but with significantly reduced computational cost, by reducing the number of trace enablement and disablement operations. A trace controller uses a tracing disablement distance variable whose values indicate the computational distance from trace disablement. A distance variable modifier automatically moves the distance variable closer to a stop-tracing value as the process executes. A create task function is modified to include the setting of an indicator that a newly created task is to be traced if a current task or thread is being traced. An execute task function is modified to request the tracing of the newly created task when it is executed based on the indicator, thereby enabling selective tracing that operates across process boundaries and traces asynchronous code execution.

Abstract: Expressly turning tracing on and off at each juncture between code that a developer wants to have traced and other code may reduce trace file size but adds computational cost. Described technologies support selectively tracing a process's execution, with some extra tracing done beyond the code the developer wanted traced, but with significantly reduced computational cost, by reducing the number of trace enablement and disablement operations. A trace controller uses a tracing disablement distance variable whose values indicate the computational distance from trace disablement. A distance variable modifier automatically moves the distance variable closer to a stop-tracing value as the process executes. The amount of extra tracing is balanced against the reduction in trace enablement/disablement operations by tuning thresholds, based on information about routine size and computational cost.

Abstract: Oral pharmaceutical compositions which include an extended-release multi-particulate comprising an effective amount of droxidopa, or a pharmaceutically acceptable salt thereof, and a release-controlling agent are disclosed. The compositions can be in the form of a ready-to-use suspension or a solid composition suitable for reconstitution with a liquid vehicle. Methods of making and using the compositions are also disclosed.

Abstract: Described technologies extend the information available from an execution trace of a program by providing heuristically-derived values for memory contents when the trace does not include data expressly showing the value of a memory cell at a particular execution time. Various heuristics are described. The heuristics may use information about the memory cell at other times to produce the derived value. Some heuristics use other trace data, such as whether the memory cell is in a stack, whether there are gaps in the trace, or whether garbage collection or compilation occurred near the time in question. Grounds for the derived value are reported along with the derived value. A time-travel debugger or other program analysis tool can then present the derived values to users, or make other use of the derived values and grounds to assist debugging and other efforts to improve the functioning of a computing system.

Abstract: An electronic device holder may include a body portion housed within an outer housing. The body portion may include surfaces that form a first cavity configured to receive the electronic device, and a second cavity. A sound transmitting passage can be positioned between the first cavity and the second cavity. The second cavity can passively amplify sound received from the second sound channel of the sound transmitting passage. The body of the electronic device holder can include a first wall, a first partition wall, and a second partition wall. The second wall can be generally parallel to a generally planar bottom surface of the holder and can be positioned between the first wall and the first partition wall so as to define a first cavity. A second cavity can be defined between the second partition wall and the outer housing.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program, and a method for rendering interactive visualizations of high volume streaming data. Streaming data that describes a plurality of events is loaded in memory. The streaming data includes geospatial data that specifies a source location and a destination location for each event. Visual metaphors representing the events are rendered using a visualization mathematical model that defines, for each visual metaphor, a spatial position and opacity for each point along the visual metaphor throughout a sliding time window.

Abstract: A method includes receiving information representing a first offer made by a manufacturer, wherein the first offer is related to a product. Information representing a second offer made by a retailer is also received, wherein the second offer is also related to the product. A request to display offers related to the product is received and in response, a user interface is generated that shows the first offer and the second offer. The user interface allows a retailer to set designations for the first offer and the second offer such that the first offer is available to customers and the second offer is not available to customers. A request from a customer for offers available at the retailer is received and in response the first offer but not the second offer is provided based on the designations set for the first offer and the second offer.

Abstract: Just My Code debugging allows developers to work on problems within their own code without noise from libraries, plugins and other unrelated code. Typical debugger behaviors may be modified based upon the identification or characterization of JavaScript code as “My Code,” “Library Code,” or “Unrelated Code.” The debugger behaviors that may be modified depending upon the code's characterization include, for example, first-chance exception handling, unhandled exception handling, the behavior of the debugger at explicit user breakpoints, the behavior when a user directs the debugger to break upon the next statement, and the behavior of the debugger when the user executes a stepping gesture. The debugger's visualizes core elements of the program state, such as the call stack, depending upon the identification or characterization of the code.

Abstract: Just My Code debugging allows developers to work on problems within their own code without noise from libraries, plugins and other unrelated code. Typical debugger behaviors may be modified based upon the identification or characterization of JavaScript code as “My Code,” “Library Code,” or “Unrelated Code.” The debugger behaviors that may be automatically determined using heuristics or set using a code-characterization file provided by a host application. The debugger receives project file information from the host application via a debugger-host interface. The debugger applies code-designation heuristics to undesignated code segments. If a code characterization file is received with the project information, the debugger designates application code segments based upon definitions in the code-characterization file. Once the debugger has characterized the code segments, it performs debugging operations on the application code.

Abstract: Water activated tapes, in particular film laminated, water activated paper tapes and methods of making the same are disclosed. The film laminated, water activated paper tapes include a paper backing having a top surface and a bottom surface, a water activated adhesive applied to the bottom surface of the paper backing, and a film reinforcement structure applied to the top surface of the paper backing The film reinforcement structure includes an outermost oriented film, and a lamination layer.

Abstract: Just My Code debugging allows developers to work on problems within their own code without noise from libraries, plugins and other unrelated code. Typical debugger behaviors may be modified based upon the identification or characterization of JavaScript code as “My Code,” “Library Code,” or “Unrelated Code.” The debugger behaviors that may be automatically determined using heuristics or set using a code-characterization file provided by a host application. The debugger receives project file information from the host application via a debugger-host interface. The debugger applies code-designation heuristics to undesignated code segments. If a code characterization file is received with the project information, the debugger designates application code segments based upon definitions in the code-characterization file. Once the debugger has characterized the code segments, it performs debugging operations on the application code.

Abstract: Just My Code debugging allows developers to work on problems within their own code without noise from libraries, plugins and other unrelated code. Typical debugger behaviors may be modified based upon the identification or characterization of JavaScript code as “My Code,” “Library Code,” or “Unrelated Code.” The debugger behaviors that may be modified depending upon the code's characterization include, for example, first-chance exception handling, unhandled exception handling, the behavior of the debugger at explicit user breakpoints, the behavior when a user directs the debugger to break upon the next statement, and the behavior of the debugger when the user executes a stepping gesture. The debugger's visualizes core elements of the program state, such as the call stack, depending upon the identification or characterization of the code.