Error location in Python: where the mutants hide

... Finally, UnnaturalCode.py reports to the user the sequence that has the highest cross-entropy, along with its line number, file name, and the usual Python diagnostics and error messages. The entire UnnaturalCode.py process usually takes less than 1 second and 300-500MB of RAM on a modern 64-bit PC f ...

... Finally, UnnaturalCode.py reports to the user the sequence that has the highest cross-entropy, along with its line number, file name, and the usual Python diagnostics and error messages. The entire UnnaturalCode.py process usually takes less than 1 second and 300-500MB of RAM on a modern 64-bit PC f ...

A Solution Manual and Notes for: by Jaan Kiusalaas John L. Weatherwax

... this in the python code c 3 2 p 2.py which gives the following coeff= [-0.02 1. ] std= 0.0316227766017 This means that the least-square (best fit line) is y = −0.02 + x , and that the spread of the data about this line is given by σ = 0.0316227766017. ...

... this in the python code c 3 2 p 2.py which gives the following coeff= [-0.02 1. ] std= 0.0316227766017 This means that the least-square (best fit line) is y = −0.02 + x , and that the spread of the data about this line is given by σ = 0.0316227766017. ...

End User Level Classification of Multicast Reachability Problems,

... that the routers in the receiver’s local domain do not have a multicast route toward the domain that the source S resides. Since multicast route availability is communicated using MBGP protocol, we conclude that this is a potential problem with MBGP. 2) Source discovery problems: Another possibility ...

... that the routers in the receiver’s local domain do not have a multicast route toward the domain that the source S resides. Since multicast route availability is communicated using MBGP protocol, we conclude that this is a potential problem with MBGP. 2) Source discovery problems: Another possibility ...

12B. ROS Telemetry and SE Standards 060616

... Each TSP and QSE shall provide telemetry, as described in this subsection, to ERCOT on the status of all breakers and switches used to switch any Transmission Element or load modeled by ERCOT. Each TSP and QSE is not required to install telemetry on individual breakers and switches, where the teleme ...

... Each TSP and QSE shall provide telemetry, as described in this subsection, to ERCOT on the status of all breakers and switches used to switch any Transmission Element or load modeled by ERCOT. Each TSP and QSE is not required to install telemetry on individual breakers and switches, where the teleme ...

THE TAXONOMY OF BUGS 1. SYNOPSIS What are the possible

... expressed by each nightmare. Don’t go too deep because most bugs are easy. This is a bug design process. If you can “design” the bug by a one-character or one statement change, then it’s a good target. If it takes hours of sneaky thinking to characterize the bug, then either it’s an unlikely bug or ...

... expressed by each nightmare. Don’t go too deep because most bugs are easy. This is a bug design process. If you can “design” the bug by a one-character or one statement change, then it’s a good target. If it takes hours of sneaky thinking to characterize the bug, then either it’s an unlikely bug or ...

Java Exception Handling

... Its descendants represent more specific errors. For example, FileNotFoundException means that a file could not be located on disk. ...

... Its descendants represent more specific errors. For example, FileNotFoundException means that a file could not be located on disk. ...

pptx - People @ EECS at UC Berkeley

... We want the obvious conflicting properties: - high performance at low energy - easy to program, port, and autotune ...

... We want the obvious conflicting properties: - high performance at low energy - easy to program, port, and autotune ...

2 nR , n

... we cannot reproduce it exactly using a finite-rate code. We first consider the problem of representing a single sample from the source. Let the random variable be represented be X and let the representation of X be denoted as ˆX(X). If we are given R bits to represent X, the function ˆX can take on ...

... we cannot reproduce it exactly using a finite-rate code. We first consider the problem of representing a single sample from the source. Let the random variable be represented be X and let the representation of X be denoted as ˆX(X). If we are given R bits to represent X, the function ˆX can take on ...

The Range 1 Query (R1Q) Problem

... trees, y-fast tries, and q-fast tries and takes the entire grid as input. However, in d-D (d ≥ 2), in the worst case these data structures have a query time at least polylogarithmic and occupy a near-linear number of bits. The R1Q problem can also be solved via range partial sum [3,14] and the range ...

... trees, y-fast tries, and q-fast tries and takes the entire grid as input. However, in d-D (d ≥ 2), in the worst case these data structures have a query time at least polylogarithmic and occupy a near-linear number of bits. The R1Q problem can also be solved via range partial sum [3,14] and the range ...

Optimality of Walrand-Varaiya Type Policies and Markov Sources

... A randomized policy allows for both the random choice of admissible control given the current state of the system, as well as a deterministic choice of admissible control. Definition 1.13 (Deterministic Policy [9]). A deterministic policy Π is a sequence of functions {αt }t≥0 , αt : Xt → A, that de ...

... A randomized policy allows for both the random choice of admissible control given the current state of the system, as well as a deterministic choice of admissible control. Definition 1.13 (Deterministic Policy [9]). A deterministic policy Π is a sequence of functions {αt }t≥0 , αt : Xt → A, that de ...

Exceptions

... that may result in errors between a MONITOR and ENDMON set of op-code statements. The idea is that if any of the statements inside the monitor group results in an error, control will go to a particular ON-ERROR group. You code one or more ON-ERROR operations within the monitor group, but after the s ...

... that may result in errors between a MONITOR and ENDMON set of op-code statements. The idea is that if any of the statements inside the monitor group results in an error, control will go to a particular ON-ERROR group. You code one or more ON-ERROR operations within the monitor group, but after the s ...

slides

... draws from standard Gaussian distribution Quantitative evaluation: the recovery error is defined as the relative difference in 2-norm between the estimated sparse coefficient and the ground truth ...

... draws from standard Gaussian distribution Quantitative evaluation: the recovery error is defined as the relative difference in 2-norm between the estimated sparse coefficient and the ground truth ...

CSE244 Compiler (a.k.a. Programming Language Translation)

... – First Pass: all identifiers are assigned to memory addresses (0offset) – e.g. substitute 0 for a, and 4 for b – Second Pass: produce relocatable machine code: ...

... – First Pass: all identifiers are assigned to memory addresses (0offset) – e.g. substitute 0 for a, and 4 for b – Second Pass: produce relocatable machine code: ...

PowerPoint Presentation - Service Oriented Architecture

... Prerequisites to OOP Text Vs. Binary Why is the binary numbering system used? For much the same reason that we all use base 10 for arithmetic. The algorithms are easy to learn. Try doing long division with Roman numerals. It’s simple to build machines to add and multiply and so on if the numbering ...

... Prerequisites to OOP Text Vs. Binary Why is the binary numbering system used? For much the same reason that we all use base 10 for arithmetic. The algorithms are easy to learn. Try doing long division with Roman numerals. It’s simple to build machines to add and multiply and so on if the numbering ...

Where`s My Compiler?

... Compilers “preserve meaning” but runtime reflection makes more information visible, so optimizations are more limited Metadata (symbol table) or equivalent needed at runtime, not just compile/link time ...

... Compilers “preserve meaning” but runtime reflection makes more information visible, so optimizations are more limited Metadata (symbol table) or equivalent needed at runtime, not just compile/link time ...

WWW Tutorial

... autonomously, routing or delivering datagrams without any coordination from the sender. ...

... autonomously, routing or delivering datagrams without any coordination from the sender. ...

Media Access - Distributed Computing Group

... the busy tone and acknowledgements, respectively (media access is not coordinated within this approach) • Example: for CDPD (USA, integrated into AMPS) ...

... the busy tone and acknowledgements, respectively (media access is not coordinated within this approach) • Example: for CDPD (USA, integrated into AMPS) ...

TOPICS ON APCS FINAL EXAM

... Output with escape sequences. System.out.println( 6 + 6 + “ “ + 3*3) // order of operations within an output line. Output is 12 9 System.out.println(4 + 4 + “ “ + 3 + 3) // order of operations within an output line. Output is 8 33 Why does java do the math for 3*3 in the first one, but not the 3+3 i ...

... Output with escape sequences. System.out.println( 6 + 6 + “ “ + 3*3) // order of operations within an output line. Output is 12 9 System.out.println(4 + 4 + “ “ + 3 + 3) // order of operations within an output line. Output is 8 33 Why does java do the math for 3*3 in the first one, but not the 3+3 i ...

X - Information Theory Society

... An important mathematical theory can provide some insights which cannot be obtained from other means. Problems involve random variables taking values from countably infinite alphabets. Finite alphabet is the special case. Benefits: tighter bounds, faster convergent rates, etc. In source co ...

... An important mathematical theory can provide some insights which cannot be obtained from other means. Problems involve random variables taking values from countably infinite alphabets. Finite alphabet is the special case. Benefits: tighter bounds, faster convergent rates, etc. In source co ...

9. Exceptions

... 10. Sockets & Network Programming Recall the structure of a client server architecture from Section 4.5. In this section we show how to use Java to program client side and server side communication over a network using sockets. ...

... 10. Sockets & Network Programming Recall the structure of a client server architecture from Section 4.5. In this section we show how to use Java to program client side and server side communication over a network using sockets. ...

Experience Mining Google’s Production Console Logs

... assume that we have access to all messages about a single identifier at once. This is unrealistic especially in a system that stays up for months. We used frequent pattern mining techniques to segment the long-lasting sequence into subsequences, or sessions, and construct message count vectors from ...

... assume that we have access to all messages about a single identifier at once. This is unrealistic especially in a system that stays up for months. We used frequent pattern mining techniques to segment the long-lasting sequence into subsequences, or sessions, and construct message count vectors from ...

Routing Issues in Mobile IP

... HA keeps track of MH’s care-of-address either FA’s IP address or one obtained using DHCP ...

... HA keeps track of MH’s care-of-address either FA’s IP address or one obtained using DHCP ...

Coding theory is the study of the properties of codes and their fitness for a specific application. Codes are used for data compression, cryptography, error-correction and more recently also for network coding. Codes are studied by various scientific disciplines—such as information theory, electrical engineering, mathematics, and computer science—for the purpose of designing efficient and reliable data transmission methods. This typically involves the removal of redundancy and the correction (or detection) of errors in the transmitted data.There are four types of coding: Data compression (or, source coding) Error correction (or channel coding) Cryptographic coding Line codingData compression and error correction may be studied in combination.Source encoding attempts to compress the data from a source in order to transmit it more efficiently. This practice is found every day on the Internet where the common Zip data compression is used to reduce the network load and make files smaller.The second, channel encoding, adds extra data bits to make the transmission of data more robust to disturbances present on the transmission channel. The ordinary user may not be aware of many applications using channel coding. A typical music CD uses the Reed-Solomon code to correct for scratches and dust. In this application the transmission channel is the CD itself. Cell phones also use coding techniques to correct for the fading and noise of high frequency radio transmission. Data modems, telephone transmissions, and NASA all employ channel coding techniques to get the bits through, for example the turbo code and LDPC codes.