diff --git a/AUTHORS b/AUTHORS index 6ed5a0c..c01b111 100644 --- a/AUTHORS +++ b/AUTHORS @@ -1,6 +1,6 @@ -EINSim Authors -============== - -This is the list of contributing authors to EINSim: - +EINSim Authors +============== + +This is the list of contributing authors to EINSim: + + Minesh Patel \ No newline at end of file diff --git a/CHANGES b/CHANGES index 85b298f..b1a4591 100644 --- a/CHANGES +++ b/CHANGES @@ -1,2 +1,15 @@ -version 1.0.0 [2019 May 10] - + The first public release of EINSim \ No newline at end of file +version 1.0.0 [2019 May 10] + + The first public release of EINSim + +version 2.0.0 [2020 Oct 12] + + Addding the following major features: + + Support for multiple computing multiple different observations over the final simulated ECC words + + JSON representation of ECC schemes + + Flexible error-injection models per-bit (+ JSON configuration files) + + Custom data patterns + + UID identification for ECC scheme configurations + + Configurable word-to-burst mappings + + Improving overall code style (e.g., better use of `const' qualifiers) + + Updating examples and scripts to support the new features + + Updating documentation with theses changes + diff --git a/Doxyfile b/Doxyfile index 1e2e319..155fb1e 100644 --- a/Doxyfile +++ b/Doxyfile @@ -1,7 +1,7 @@ -PROJECT_NAME = EINSim -OUTPUT_DIRECTORY = doxygen -WARNINGS = YES -INPUT = src src/codes README.md example/README.md -FILE_PATTERNS = *.cpp *.h -ENABLE_PREPROCESSING = YES +PROJECT_NAME = EINSim +OUTPUT_DIRECTORY = doxygen +WARNINGS = YES +INPUT = src src/codes README.md example/README.md +FILE_PATTERNS = *.cpp *.h +ENABLE_PREPROCESSING = YES USE_MDFILE_AS_MAINPAGE = README.md \ No newline at end of file diff --git a/LICENSE b/LICENSE index 78dccee..fe560c2 100644 --- a/LICENSE +++ b/LICENSE @@ -1,20 +1,20 @@ -Copyright (c) 2019, SAFARI Research Group at ETH Zurich University - -Permission is hereby granted, free of charge, to any person obtaining a -copy of this software and associated documentation files (the -"Software"), to deal in the Software without restriction, including -without limitation the rights to use, copy, modify, merge, publish, -distribute, sublicense, and/or sell copies of the Software, and to -permit persons to whom the Software is furnished to do so, subject to -the following conditions: - -The above copyright notice and this permission notice shall be included -in all copies or substantial portions of the Software. - -THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS -OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF -MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. -IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY -CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, -TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE +Copyright (c) 2019, SAFARI Research Group at ETH Zurich University + +Permission is hereby granted, free of charge, to any person obtaining a +copy of this software and associated documentation files (the +"Software"), to deal in the Software without restriction, including +without limitation the rights to use, copy, modify, merge, publish, +distribute, sublicense, and/or sell copies of the Software, and to +permit persons to whom the Software is furnished to do so, subject to +the following conditions: + +The above copyright notice and this permission notice shall be included +in all copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS +OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF +MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. +IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY +CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, +TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. \ No newline at end of file diff --git a/README.md b/README.md index 41c9001..e690456 100644 --- a/README.md +++ b/README.md @@ -1,188 +1,207 @@ -## EINSim: Statistically Inferring ECC Characteristics Using Only Post-Correction Errors - -The Error Inference Simulator (EINSim) uses Monte-Carlo simulation to model how different error-correction code (ECC) schemes transform the spatial distribution of errors in a memory device (e.g., DRAM data-retention errors). EINSim simulates an ECC dataword's lifetime throughout ECC encoding, error injection, and ECC decoding. By simulating enough datawords (e.g., > 1e6), the statistical distribution of post-correction errors approximates that of a real device. - -EINSim is a key part of the EIN statistical inference methodology originally proposed in our DSN 2019 academic paper [1]. EIN uses maximum-a-posteriori (MAP) estimation over different ECC models (computed using EINSim) to infer a device's pre-correction error characteristics from post-correction error distributions. This information can be used to: - -- Reverse-engineer characteristics of an unknown ECC scheme (e.g., ECC data-/code-word length, ECC correction capability) -- Infer pre-correction error rates that are obfuscated by ECC - -EIN is especially useful for devices in which the pre-correction error characteristics are hidden (e.g., DRAM with on-die ECC). Our paper [1] explains EIN and its potential applications in much greater detail. - -*Please send questions to Minesh Patel at minesh.patelh@gmail.com* - -## Codebase Overview - -EINSim comprises two parts: -- A C++ command-line tool that simulates the raw statistical distributions -- Python scripts that apply the simulation results to real experimental data - -We use Doxygen to document the source code and provide a Doxyfile for building HTML and LaTeX documentation. To build the documentation, simply issue: - -``` -$ doxygen -``` -when in the project directory, or point ```doxygen``` to the provided Doxyfile. The HTML documentation will be built under ```doxygen/html/index.html```. - -## Dependencies - -Building and running EINSim requires the following working installations: - -- A C++11 toolchain (e.g., GCC, Clang, MSVC) - - pthreads - -- Python 2/3 - - Matplotlib 2.1.1+ (for graph generation only) - - SciPy - - NumPy - -EINSim has been tested with: - - - GCC 9.1.0 - - GCC 7.4.0 - - GCC 6.3.0 - - Apple LLVM 10.0.0 (clang-1000.11.45.5) - - Apple LLVM 9.1.0 (clang-902.0.39.2) - - Python 3.7.3 (Anaconda 3) - - Python 3.7.2 - - Python 3.7.1 - - Python 3.5.3 - - Python 2.7.13 - -## Building in Linux - -``` -$ make [-j <# threads>] [other make options] -``` - -The makefile has various targets, described as follows: - -- ```release``` builds ```einsim``` with full optimizations -- ```debug``` builds ```einsim.d``` with no optimization and debug symbols -- ```all``` builds both ```release``` and ```debug``` -- ```clean``` cleans build and binary files for both ```release``` and ```debug``` - -Omitting the ```target``` argument defaults to the ```release``` configuration. - -## Usage - -EINSim runs as a command-line tool with several CLI options that are shown when running EINSim without options: - -``` -$ ./path/to/einsim -``` - -Quickly testing whether EINSim works correctly can be done by issuing: -``` -$ ./path/to/einsim -m t -T fast [-t <# threads>] -``` -This will run a brief test of all implemented ECC schemes across various code parameters and will report success or failure. - -EINSim has three modes of operation: - -- ```Simulation``` (```./path/to/einsim -m s```) is the primary mode of operation and simulates how the spatial distribution of errors is transformed by different ECC schemes. - -- ```Test``` (```./path/to/einsim -m t```) is used primarily for sanity-checking and regression testing. It sweeps through a set of pre-baked configurations for each ECC scheme that are designed to roughly cover the range of important parameters for the scheme. This helps check for obvious errors when modifying, updating, or adding ECC schemes. - -- ```Debug``` (```./path/to/einsim -m d```) is used for debugging various components of EINSim. It is similar to the *simulation* mode, but provides a simpler core simulation loop with more controls over an ECC word. While *debug* mode is designed to make working with EINSim easier, it need not be used if the user is comfortable with a different debugging approach. - -## EINSim high-level overview - -Our paper [1] provides a detailed overview of EINSim's purpose and design, and we highly recommend the interested user to refer to it when delving deeply into EINSim. - -At a high level, EINSim simulates the error characteristics of configurable-length *words*, which are referred to as *bursts* in the context of DRAM. Bursts are typically several bytes long (e.g., 32B) and may comprise multiple ECC data words. Therefore, EINSim subdivides each burst into one or more ECC datawords as per the particular ECC schemes that have been chosen for simulation. - -In the core simulation loop, EINSim repeatedly simulates individual bursts through the following steps: - -1) Writing the burst with a configurable data pattern (e.g., 0xFF, RANDOM) -2) ECC encoding -3) Error injection according to error-mechanism parameters (e.g., error distribution, DRAM true-/anti-cell layout, data pattern) -4) ECC decoding -5) Counting the number of errors in the decoded burst (with respect to the originally written data pattern) - -EINSim then outputs a histogram of the number of errors found in each burst during the final step, resulting in a distribution of the error-counts across all simulated bursts. The following section explains the output format in greater detail. - -## EINSim output format - -The EINSim output format is verbose by design. Each line of output contains the pre- and post-correction error distribution when simulating N words for a single system configuration. This keeps it relatively easy to search for data concerning a particular configuration using common tools such as ```awk``` or ```grep```. - -Since a large N (e.g., N > 1e6) is required to achieve a statistically representative sample of the true error distributions (discussed further in Sections 4 and 5 of Patel et al. [1]), EINSim is designed for high parallelization. EINSim typically divides N into smaller units, and each unit outputs its results as soon as it finishes. The outputs across all units can later be combined into a single distribution using the provided Python script ```script/aggregate_output.py```. - -The output format of a single output line is described as follows and provides reasonable human-readability: - -``` -[DATA] : p: t: k: n: m: rber: bl: bcl: ps: ed: cd: dp: [ :<# words pre-correction>:<# words post-correction> <>:<>:<> ... repeat ] -``` - -We briefly explain each of the fields: - -- **ECC scheme**: name of the ECC scheme -- **p (permutation)**: akin to a random seed- chooses between different ECC scheme parameters (e.g., position of data/check bits, choice of generator polynomial, etc.) -- **t (error-correction capability)**: the error-correction capability of the ECC scheme -- **k (# data bits)**: size of a single ECC codeword for the ECC scheme (i.e., number of data bits) -- **n (# code bits)**: size of a single ECC codeword for the ECC scheme (i.e., number of data + check bits) -- **m (Galois field degree)**: degree of the Galois field used to generate the ECC scheme (only used with BCH codes) -- **rber (raw bit error rate)**: pre-correction bit-error rate to simulate -- **bl (burst length)**: size of the simulated burst (data bits only; will be subdivided into ECC datawords as required) -- **bcl (burst codeword length)**: size of the simulated burst, including ECC check bits -- **ps (pad size)**: additional zero-padding used for when a burst unevenly divides into ECC words -- **ed (error distribution)**: the pre-correction error distribution to assume (e.g., UNIFORM-RANDOM) -- **cd (true-/anti-cell distribution)**: the spatial distribution of true-/anti-cells to assume when simulating bursts -- **dp (data pattern)**: the pre-correction data pattern to assume (e.g., 0xFF, RANDOM) -- **[histogram data]**: a histogram of the number of errors pre- and post-correction across all simulated bursts - -Example output for a BCH 3EC code with a 511-bit codeword, 484-bit dataword, and a 256-bit burst length with a UNIFORM_RANDOM pre-correction error distribution, an equal number of true-/anti-cells, and a RANDOM data pattern: - -``` -[DATA] BCH: p:-1364027821 t:3 k:484 n:511 m:9 rber:0.232888 bl:256 bcl:283 ps:0 ed:UNIFORM_RANDOM cd:ALL_TRUE_OR_ALL_ANTI dp:RANDOM [ 49:0:1 50:0:4 51:0:2 52:0:4 53:2:1 54:1:3 55:0:4 56:3:3 57:2:7 58:3:7 59:1:5 60:4:6 61:3:6 62:5:6 63:9:7 64:3:6 65:8:7 66:8:5 67:2:1 68:2:4 69:10:3 70:2:0 71:9:2 72:3:2 73:4:0 74:3:3 75:3:0 76:2:1 77:2:0 78:1:0 79:2:0 80:1:0 82:1:0 84:1:0 ] -``` - -The script ```script/aggregate_output.py``` can be used to aggregate multiple outputs across multiple runs (or simply within just one run) as follows: - -``` -$ ./path/to/script/aggregate_output.py -o [ ...] -``` - -Note: it is *not* always necessary to aggregate simulation outputs, but aggregation saves considerable computation time and disk space when applying many simulation results to real experimental data. - -## Applying real experimental data to EINSim output - -We provide a Python script ```script/ein.py``` to apply EINSim results to experimental data. ```ein.py``` can be run as follows: - -``` -$ ./path/to/script/ein.py [ ...] -e -``` - -Experimental data files use same format as simulation outputs for convenience. However, most of the parameters are ignored and may be set to **-1**. An example (note: not real data) is as follows: - -``` -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 m:-1 rber:-1 bl:256 bcl:-1 ps:0 ed:-1 cd:-1 dp:-1 [ 0:-1:1431234 1:-1:9484 2:-1:33492 3:-1:394030 4:-1:393923 5:-1:3920 6:-1:313 7:-1:1 ] -``` - -Note that only parameters that would be known from experimenting with a black-box device need to be set: - -- **bl (burst length)**: specifies the granularity of the data histogram -- **[histogram data]**: provides the number of post-correction errors observed (note that pre-correction error counts are set to **-1**) - -## Running the provided examples - -We provide working examples of running EINSim end-to-end, including the *simulation* data used in our paper [1]. Unfortunately, we are unable to provide the original *experimental* results shown in the paper for confidentiality reasons. Instead, as a demonstrative example of how EINSim results can be applied to real experimental data, we provide *proxy-experimental* data that is itself generated using EINSim. The proxy-experimental data cleanly demonstrates how one would apply EINSim to real experimental data. - -Detailed instructions on how to run the provide examples are given at ```examples/README.md```. - -## Licensing - -The current version of the simulator is provided as-is under the MIT license. - -The following libraries are used and are located under ```lib``` with their own license: -- Eigen - http://eigen.tuxfamily.org/index.php?title=Main_Page -- cxxopts - https://github.com/jarro2783/cxxopts -- libtp - Inspired by CTPL: https://github.com/vit-vit/CTPL - -The BCH encoding/decoding helper functions are found under src/codes/bch_helpers* and are adapted from bch3.c found at http://eccpage.com/. The original license provided by the author, Robert Morelos-Zaragoza, is retained along with a brief description of the modifications we have made. - -## Attribution - -Please cite the following paper when using EINSim: - +## EINSim: Statistically Inferring ECC Characteristics Using Only Post-Correction Errors + +The Error Inference Simulator (EINSim) uses Monte-Carlo simulation to model how different error-correction code (ECC) schemes transform the spatial distribution of errors in a memory device (e.g., DRAM data-retention errors). EINSim simulates an ECC dataword's lifetime throughout ECC encoding, error injection, and ECC decoding. By simulating enough datawords (e.g., > 1e6), the statistical distribution of post-correction errors approximates that of a real device. + +EINSim is a key part of the EIN statistical inference methodology originally proposed in our DSN 2019 academic paper [1]. EIN uses maximum-a-posteriori (MAP) estimation over different ECC models (computed using EINSim) to infer a device's pre-correction error characteristics from post-correction error distributions. This information can be used to: + +- Reverse-engineer characteristics of an unknown ECC scheme (e.g., ECC data-/code-word length, ECC correction capability) +- Infer pre-correction error rates that are obfuscated by ECC + +EIN is especially useful for devices in which the pre-correction error characteristics are hidden (e.g., DRAM with on-die ECC). Our paper [1] explains EIN and its potential applications in much greater detail. + +*Please send questions to Minesh Patel at minesh.patelh@gmail.com* + +## Codebase Overview + +Current version: 2.0.0 + +EINSim comprises two parts: +- A C++ command-line tool that simulates the raw statistical distributions +- Python scripts that apply the simulation results to real experimental data + +We use Doxygen to document the source code and provide a Doxyfile for building HTML and LaTeX documentation. To build the documentation, simply issue: + +``` +$ doxygen +``` +when in the project directory, or point ```doxygen``` to the provided Doxyfile. The HTML documentation will be built under ```doxygen/html/index.html```. + +## Dependencies + +Building and running EINSim requires the following working installations: + +- A C++11 toolchain (e.g., GCC, Clang, MSVC) + - pthreads + +- Python 2/3 + - Matplotlib 2.1.1+ (for graph generation only) + - SciPy + - NumPy + +EINSim has been tested with: + + - GCC 9.1.0 + - GCC 8.3.0 + - GCC 7.4.0 + - GCC 6.3.0 + - Apple LLVM 10.0.0 (clang-1000.11.45.5) + - Apple LLVM 9.1.0 (clang-902.0.39.2) + - Python 3.7.3 (Anaconda 3) + - Python 3.7.2 + - Python 3.7.1 + - Python 3.5.3 + - Python 2.7.13 + +## Building in Linux + +``` +$ make [-j <# threads>] [other make options] +``` + +The makefile has various targets, described as follows: + +- ```release``` builds ```einsim``` with full optimizations +- ```debug``` builds ```einsim.d``` with no optimization and debug symbols +- ```doc``` builds Doxygen documentation in the directory ```doxygen``` +- ```all``` builds both ```release``` and ```debug``` +- ```clean``` cleans build and binary files for both ```release``` and ```debug``` + +Omitting the ```target``` argument defaults to the ```release``` configuration. + +## Usage + +EINSim runs as a command-line tool with several CLI options that are shown when running EINSim without options: + +``` +$ ./path/to/einsim +``` + +Quickly testing whether EINSim works correctly can be done by issuing: +``` +$ ./path/to/einsim -m t -T fast [-t <# threads>] +``` +This will run a brief test of all implemented ECC schemes across various code parameters and will report success or failure. + +EINSim has three modes of operation: + +- ```Simulation``` (```./path/to/einsim -m s```) is the primary mode of operation and simulates how the spatial distribution of errors is transformed by different ECC schemes. + +- ```Test``` (```./path/to/einsim -m t```) is used primarily for sanity-checking and regression testing. It sweeps through a set of pre-baked configurations for each ECC scheme that are designed to roughly cover the range of important parameters for the scheme. This helps check for obvious errors when modifying, updating, or adding ECC schemes. + +- ```Debug``` (```./path/to/einsim -m d```) is used for debugging various components of EINSim. It is similar to the *simulation* mode, but provides a simpler core simulation loop with more controls over an ECC word. While *debug* mode is designed to make working with EINSim easier, it need not be used if the user is comfortable with a different debugging approach. + +## EINSim high-level overview + +Our paper [1] provides a detailed overview of EINSim's purpose and design, and we highly recommend the interested user to refer to it when delving deeply into EINSim. + +At a high level, EINSim simulates the error characteristics of configurable-length *words*, which are referred to as *bursts* in the context of DRAM. Bursts are typically several bytes long (e.g., 32B) and may comprise multiple ECC data words. Therefore, EINSim subdivides each burst into one or more ECC datawords as per the particular ECC schemes that have been chosen for simulation. + +In the core simulation loop, EINSim repeatedly simulates individual bursts through the following steps: + +1) Writing the burst with a configurable data pattern (e.g., 0xFF, RANDOM, custom data) +2) ECC encoding +3) Error injection according to error-mechanism parameters (e.g., error distribution, DRAM true-/anti-cell layout, data pattern) +4) ECC decoding +5) Measuring some property of the output (e.g., counting the number of errors in the decoded burst with respect to the originally written data pattern) + +EINSim then outputs the final measured property using the output format described in the following section. + +## JSON representation of ECC schemes + +EINSim represents ECC schemes using JSON with the following members: + +- **s**: type of ECC scheme (e.g., HSC for Hamming single-error correcting) +- **k**: dataword length (bits) +- **p**: random seed used to initially generate the ECC code +- **uid**: 64-bit unsigned identifier for this ECC scheme +- **G**: generator matrix +- **H**: parity-check matrix +- **R**: degenerator matrix +- **R**: degenerator matrix +- **miscorrection_profile**: miscorrection profile as used by [BEER](https://github.com/CMU-SAFARI/BEER) (ignored by EINSim) + +As an example, a (7, 4, 3) Hamming code: + +``` +{"s":"HSC","k":4,"p":0,"uid":3285674560482760615,"G":[[1,0,0,0],[0,1,0,0],[0,0,1,0],[0,0,0,1],[1,1,0,1],[0,1,1,1],[1,0,1,1]],"H":[[1,1,0,1,1,0,0],[0,1,1,1,0,1,0],[1,0,1,1,0,0,1]],"R":[[1,0,0,0,0,0,0],[0,1,0,0,0,0,0],[0,0,1,0,0,0,0],[0,0,0,1,0,0,0]]} +``` + +Additional examples are provided under the ```examples``` directory. + +## EINSim output format + +The EINSim output format is verbose by design. Each line of output contains the pre- and post-correction error distribution when simulating N words for a single system configuration. This keeps it relatively easy to search for data concerning a particular configuration using common tools such as ```awk``` or ```grep```. + +Since a large N (e.g., N > 1e6) is required to achieve a statistically representative sample of the true error distributions (discussed further in Sections 4 and 5 of Patel et al. [1]), EINSim is designed for high parallelization. EINSim typically divides N into smaller units, and each unit outputs its results as soon as it finishes. The outputs across all units can later be combined into a single distribution using the provided Python script ```script/utils/aggregate_output.py```. + +The output format of a single output line is described as follows and provides reasonable human-readability: + +``` +[DATA] : p: t: k: n: m: rber: bl: bcl: ps: ed: cd: dp: [ :<# words pre-correction>:<# words post-correction> <>:<>:<> ... repeat ] +``` + +We briefly explain each of the fields: + +- **uid**: 64-bit unsigned UID computed for the ECC scheme based on its generator, parity-check, and degenerator matrices - used to identify the ECC scheme +- **nw (number of words)**: number of ECC words simulated within this line of output +- **bl (burst length)**: size of the simulated burst (data bits only; will be subdivided into ECC datawords as required) +- **bcl (burst codeword length)**: size of the simulated burst, including ECC check bits +- **ps (pad size)**: additional zero-padding used for when a burst unevenly divides into ECC words +- **em (error model)**: error model used for error-injection, including parameter values +- **cd (true-/anti-cell distribution)**: the spatial distribution of true-/anti-cells to assume when simulating bursts +- **dp (data pattern)**: the data pattern to assume for all datawords (e.g., 0xFF, RANDOM) +- **obs (observable)**: the metric to compute across all simulated ECC words (e.g., per-bit error counts) +- **[data]**: data values corresponding to the requested observable + +Example output for a BCH 3EC code with a 511-bit codeword, 484-bit dataword, and a 256-bit burst length with a UNIFORM_RANDOM pre-correction error distribution, an equal number of true-/anti-cells, and a RANDOM data pattern: + +``` +$ ./path/to/einsim -m s -s HSC -k 4 -b 4 -p 0 -w BLOCKS -c ALL_TRUE -n 100 -d ALL_ONES -o PER_BIT_ERROR_COUNT -e DATA_RETENTION,0.5 +... +[DATA] uid:3285674560482760615 nw:100 bl:4 bcl:7 ps:0 em:DATA_RETENTION(p:0.500000) cd:ALL_TRUE dp:ALL_ONES obs:PER_BIT_ERROR_COUNT [ 52 47 42 52 : 56 45 42 53 52 53 45 ] +``` + +The script ```script/aggregate_output.py``` can be used to aggregate multiple outputs across multiple runs (or simply within just one run) as follows: + +``` +$ ./path/to/script/aggregate_output.py -o [ ...] +``` + +Note: it is *not* always necessary to aggregate simulation outputs, but aggregation saves considerable computation time and disk space when applying many simulation results to real experimental data. + +## Applying real experimental data to EINSim output + +We provide a Python script ```script/ein/ein.py``` to apply EINSim results to experimental data. ```ein.py``` can be run as follows: + +``` +$ ./path/to/script/ein/ein.py [ ...] -e +``` + +Experimental data files use same format as simulation outputs for convenience. However, most of the parameters are ignored and may be set to **-1**. + +## Using the provided examples + +Under ```example```, we provide several example configuration files for both ECC schemes and error models. These can be used as inputs to EINSim as alternatives to passing command-line arguments and are intended to simplify the use of complicated configurations and uses that include automation. + +## Running the examples given in the original publication [1] + +EINSim tag "full-size-dataset-v1.0" provides full working examples of running EINSim end-to-end, including the *simulation* data used in our paper [1]. Because this EINSim release is not fully backwards-compatible with the initial release, please refer to the README within tag "full-size-dataset-v1.0" for instructions on how to run the original version. + +## Licensing + +The current version of the simulator is provided as-is under the MIT license. + +The following libraries are used and are located under ```lib``` with their own license: +- [Eigen](http://eigen.tuxfamily.org/index.php?title=Main_Page) +- [cxxopts](https://github.com/jarro2783/cxxopts) +- libtp - Inspired by [CTPL](https://github.com/vit-vit/CTPL) +- [rapidjson](https://rapidjson.org/) +- crc64 - CRC64 routines written by Salvatore Sanfilippo + +The BCH encoding/decoding helper functions are found under src/codes/bch_helpers* and are adapted from bch3.c found at http://eccpage.com/. The original license provided by the author, Robert Morelos-Zaragoza, is retained along with a brief description of the modifications we have made. + +## Attribution + +Please cite the following paper when using EINSim: + [\[1\] Minesh Patel, Jeremie S. Kim, Hasan Hassan, and Onur Mutlu, "Understanding and Modeling On-Die Error Correction in Modern DRAM: An Experimental Study Using Real Devices", in the Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), Portland, OR, USA, June 2019.](https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf) \ No newline at end of file diff --git a/TODO b/TODO index 36fac09..c2e52ac 100644 --- a/TODO +++ b/TODO @@ -1,13 +1,14 @@ -TODO - list of outstanding tasks for EINSim: - -Improvements: -+ Better output format - + Extensible to arbitrary configurations and observables - + More compact representation of ^ information -+ Better stress tests for all corner cases of the ECC implementations -+ General performance optimization - + Perhaps a more efficient representation than Eigen data types? - -New features: -+ Wider range of ECC schemes (e.g., LDPC, non-binary) +TODO - list of outstanding tasks for EINSim: + +Improvements: ++ Better output format + + Extensible to arbitrary configurations and observables + + More compact representation of ^ information ++ Better representation of ECC schemes (e.g., natuarally extensible to non-block-codes) ++ Better stress tests for all corner cases of the ECC implementations ++ General performance optimization + + Perhaps a more efficient representation than Eigen data types? + +New features: ++ Wider range of ECC schemes (e.g., LDPC, non-binary) + Different encoding/decoding algorithms (e.g., soft decoding) \ No newline at end of file diff --git a/example/README.md b/example/README.md deleted file mode 100644 index 106d03a..0000000 --- a/example/README.md +++ /dev/null @@ -1,102 +0,0 @@ -## EINSim: Working Examples - -Using EINSim requires two types of datasets: - -- **Simulation** results are those generated using EINSim -- **Experimental** results are measured from real devices (*simulation* results can be substituted for *experimental* results since they share the same format. This provides a demonstrative example of how EINSim may be used with real experimental data, and we refer to the substitute data as *proxy-experimental* results when doing so). - -Due to the large number of simulation results required for high accuracy (explained in detail in our DSN 2019 paper [1]), we provide two different example datasets: - -- **Full-size dataset:** contains all of the simulation data that we use in our paper [1], amounting to several gigabytes of output. These are available for separate download under GitHub "Releases" at https://github.com/CMU-SAFARI/EINSim. -- **Reduced-size dataset:** is a subset of the full-size dataset that is provided directly in this repository and contains enough simulation data to cleanly demonstrate how EINSim output may be applied to experimental data. - -## Experimental data - -Unfortunately, we are unable to release the original experimental data that we present in our paper [1] for confidentiality reasons. Instead, we provide *proxy-experiment* examples that are themselves generated using EINSim simulation. While these do not constitute real experimental data, they show how EINSim would be used if such data were available. - -The *proxy experimental* results that we provide are located under ```examples/proxy_experimental```: - -- **example/proxy_experiment/proxy_experiment**: unmodified EINSim output -- **example/proxy_experiment/proxy_experiment_noised_{0.01 - 0.10}**: EINSim output with normally-distributed noise added in proportion to each histogram bin value with a {0.01 - 0.10} multiplier - -These results are generated using EINSim with the following configuration: - -``` -./path/to/einsim -o -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000000 -``` - -The noised examples demonstrate how the inference is fairly tolerant to added noise up to a certain point (\~0.03), after which the log-likelihoods begin to decrease and the models begin to mispredict the proxy-experimental configuration. - -## Full-size datasets (separate download) - -The example simulation datasets that we use in our paper [1] are provided as GitHub "Releases" at https://github.com/CMU-SAFARI/EINSim. The distributed files are xz-compressed for space efficiency using ```xz -9e``` (note that the analysis scripts can directly consume xz/gz/bz2 compressed files). - -We provide simulation datasets: - -- example/simulation/full_size_dataset/BCH_0xFF_T1.xz (11.50 MiB) -- example/simulation/full_size_dataset/BCH_0xFF_T2.xz (13.03 MiB) -- example/simulation/full_size_dataset/BCH_0xFF_T3.xz (13.68 MiB) -- example/simulation/full_size_dataset/BCH_RANDOM_T1.xz (9.34 MiB) -- example/simulation/full_size_dataset/BCH_RANDOM_T2.xz (9.93 MiB) -- example/simulation/full_size_dataset/BCH_RANDOM_T3.xz (10.09 MiB) -- example/simulation/full_size_dataset/HSC_0xFF_T1.xz (12.35 MiB) -- example/simulation/full_size_dataset/HSC_RANDOM_T1.xz (9.36 MiB) -- example/simulation/full_size_dataset/REP_0xFF_T1.xz (12.02 MiB) -- example/simulation/full_size_dataset/REP_0xFF_T2.xz (13.85 MiB) -- example/simulation/full_size_dataset/REP_0xFF_T3.xz (16.09 MiB) -- example/simulation/full_size_dataset/REP_RANDOM_T1.xz (10.62 MiB) -- example/simulation/full_size_dataset/REP_RANDOM_T2.xz (13.00 MiB) -- example/simulation/full_size_dataset/REP_RANDOM_T3.xz (15.36 MiB) - -These datasets comprise 980000 simulated models are generated as a cross-product of the following parameters: - -- RBERs from 0.0 to 0.2 in 10000 steps -- RANDOM and 0xFF data patterns -- Four different 'p' {0, 1, 2, 3} (aggregated) -- ECC schemes: Hamming (d = 3), BCH (d = 3, 5, 7), Repetition (d = 3, 5, 7) -- Data-word lengths: {4, 8, 16, 32, 64, 128, 256} (note: BCH simulations are output with non-truncated lengths) -- Burst length: 256 -- Uniform-random error distribution -- Bursts that are entirely either true-cells or anti-cells with 50% probability - -## Reduced-size example datasets (included) - -The reduced-size example dataset comprises 120000 simulated models taken as a subset of the full-size example dataset. We include results for the following restrictions: - -- ECC schemes: Hamming (d = 3), BCH (d = 5) -- Data-word lengths: {64, 128, 256} - -They are found at: - -- example/simulation/reduced_size_dataset/BCH_0xFF_T2_reduced.xz (4.77 MiB) -- example/simulation/reduced_size_dataset/BCH_RANDOM_T2_reduced.xz (3.74 MiB) -- example/simulation/reduced_size_dataset/HSC_0xFF_T1_reduced.xz (4.58 MiB) -- example/simulation/reduced_size_dataset/HSC_RANDOM_T1_reduced.xz (3.62 MiB) - -## Running the examples - -To run EIN on the examples, one simply specifies the relevant *simulation* and *experiment* files to the ```ein.py``` script: - -``` -$ ./script/ein.py [ ...] -e -b <# bootstrapping samples> -``` - -```ein.py``` will compute a confidence interval (min/max) using bootstrapping if the ```-b``` argument is provided. Note that if ```-b``` is omitted, ```ein.py``` will default to no bootstrapping, and the output min/max values will be identical. Keep in mind that the script runtime will be roughly proportional to the number of bootstrap samples requested. - -The provided proxy-experimental data can be run as follows: - -``` -$ ./script/ein.py example/simulation/reduced_size_dataset/* -e example/proxy_experiment/proxy_experiment -``` - -Adding the ```-g``` flag will plot the 20 best-fit models in the same style as presented in our paper [1]. - -## Working with and extending the example data - -The example data is split among several files simply for convenience; if desired, the data may be combined into one file using a tool such as ```cat``` or subdivided further using ```grep``` (or the equivalent ```xzutils```). - -New simulation or experimental results can be incorporated simply by passing them into the ```ein.py``` script for analysis. - -## Bibliography - -[\[1\] Minesh Patel, Jeremie S. Kim, Hasan Hassan, and Onur Mutlu, "Understanding and Modeling On-Die Error Correction in Modern DRAM: An Experimental Study Using Real Devices", in the Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2019), Portland, OR, USA, June 2019.](https://people.inf.ethz.ch/omutlu/pub/understanding-and-modeling-in-DRAM-ECC_dsn19.pdf) \ No newline at end of file diff --git a/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-127_120_7-uid_17411783249195754559.json b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-127_120_7-uid_17411783249195754559.json new file mode 100644 index 0000000..8fd5aab --- /dev/null +++ b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-127_120_7-uid_17411783249195754559.json @@ -0,0 +1,383 @@ +// ./einsim -m s -b 120 -w BLOCKS -c ALL_TRUE -d RANDOM -e NORMAL -o PER_BIT_ERROR_COUNT -s HSC -k 120 -p 1 +{ + "s" : "HSC" + , "k" : 120 + , "p" : 1 + , "uid" : 17411783249195754559 + , "G" : 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a/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_17475118835253525738.json b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_17475118835253525738.json new file mode 100644 index 0000000..cc5ea2f --- /dev/null +++ b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_17475118835253525738.json @@ -0,0 +1,53 @@ +// ./einsim -m s -b 11 -w BLOCKS -c ALL_TRUE -d RANDOM -e NORMAL -o PER_BIT_ERROR_COUNT -s HSC -k 11 -p 1 +{ + "s" : "HSC", + "n" : 15, + "k" : 11, + "p" : 1, + "uid" : 17475118835253525738, + "GT" : [ + [1,0,0,0,0,0,0,0,0,0,0,1,0,0,1], + [0,1,0,0,0,0,0,0,0,0,0,1,1,1,0], + [0,0,1,0,0,0,0,0,0,0,0,0,1,0,1], + [0,0,0,1,0,0,0,0,0,0,0,1,0,1,0], + [0,0,0,0,1,0,0,0,0,0,0,1,1,1,1], + [0,0,0,0,0,1,0,0,0,0,0,0,0,1,1], + [0,0,0,0,0,0,1,0,0,0,0,0,1,1,1], + [0,0,0,0,0,0,0,1,0,0,0,0,1,1,0], + [0,0,0,0,0,0,0,0,1,0,0,1,1,0,0], + [0,0,0,0,0,0,0,0,0,1,0,1,0,1,1], + [0,0,0,0,0,0,0,0,0,0,1,1,1,0,1] + ], + "H" : [ + [1,1,0,1,1,0,0,0,1,1,1,1,0,0,0], + [0,1,1,0,1,0,1,1,1,0,1,0,1,0,0], + [0,1,0,1,1,1,1,1,0,1,0,0,0,1,0], + [1,0,1,0,1,1,1,0,0,1,1,0,0,0,1] + ], + "R" : [ + [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,1,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,1,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,1,0,0,0,0] + ], + "miscorrection_profile" : [ + [[1,0,0,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,1,0,0,0,0,0,0,0,0,0], [0,0,0,1,0,0,0,1,1,0,0]], + [[0,0,1,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,1,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,1,0,0,0,0,0,0], [1,1,1,1,0,1,1,1,1,1,1]], + [[0,0,0,0,0,1,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,1,0,0,0,0], [0,0,1,0,0,1,0,1,0,0,0]], + [[0,0,0,0,0,0,0,1,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,1,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,0,1,0], [1,0,0,1,0,1,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,0,0,1], [1,0,1,0,0,0,0,0,1,0,0]] + ] +} \ No newline at end of file diff --git a/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_3997265900661655176.json b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_3997265900661655176.json new file mode 100644 index 0000000..bff8949 --- /dev/null +++ b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-15_11_4-uid_3997265900661655176.json @@ -0,0 +1,56 @@ +// ./einsim -m s -b 11 -w BLOCKS -c ALL_TRUE -d RANDOM -e NORMAL -o PER_BIT_ERROR_COUNT -s HSC -k 11 -p 1 +{ + "s" : "HSC", + "k" : 11, + "p" : 1, + "uid" : 3997265900661655176, + "G" : [ + [1,1,0,1,1,0,0,0,1,1,1], + [1,0,1,0,1,1,1,0,0,1,1], + [0,1,0,1,1,1,1,1,0,1,0], + [0,1,1,0,1,0,1,1,1,0,1], + [0,0,0,0,1,0,0,0,0,0,0], + [0,0,0,0,0,1,0,0,0,0,0], + [0,0,0,0,0,0,1,0,0,0,0], + [0,0,0,0,0,0,0,1,0,0,0], + [0,0,0,0,0,0,0,0,1,0,0], + [0,0,0,0,0,0,0,0,0,1,0], + [0,0,0,0,0,0,0,0,0,0,1], + [1,0,0,0,0,0,0,0,0,0,0], + [0,1,0,0,0,0,0,0,0,0,0], + [0,0,1,0,0,0,0,0,0,0,0], + [0,0,0,1,0,0,0,0,0,0,0] + ], + "H" : [ + [1,1,0,1,1,1,0,1,0,0,1,0,0,0,1], + [0,0,0,1,1,0,1,1,1,0,1,0,1,1,0], + [1,0,1,0,0,1,1,1,1,0,1,1,0,0,0], + [1,1,1,1,0,0,1,0,0,1,1,0,1,0,0] + ], + "R" : [ + [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0], + [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0], + [0,0,0,0,0,0,0,0,0,0,0,0,0,1,0], + [0,0,0,0,0,0,0,0,0,0,0,0,0,0,1], + [0,0,0,0,1,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,1,0,0,0,0] + ], + "miscorrection_profile" : [ + [[1,0,0,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,1,0,0,0,0,0,0,0,0,0], [0,0,0,1,0,0,0,1,1,0,0]], + [[0,0,1,0,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,1,0,0,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,1,0,0,0,0,0,0], [1,1,1,1,0,1,1,1,1,1,1]], + [[0,0,0,0,0,1,0,0,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,1,0,0,0,0], [0,0,1,0,0,1,0,1,0,0,0]], + [[0,0,0,0,0,0,0,1,0,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,1,0,0], [0,0,0,0,0,0,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,0,1,0], [1,0,0,1,0,1,0,0,0,0,0]], + [[0,0,0,0,0,0,0,0,0,0,1], [1,0,1,0,0,0,0,0,1,0,0]] + ] +} \ No newline at end of file diff --git a/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-255_247_8-uid_16025570925095364493.json b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-255_247_8-uid_16025570925095364493.json new file mode 100644 index 0000000..2d42c3a --- /dev/null +++ b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-255_247_8-uid_16025570925095364493.json @@ -0,0 +1,517 @@ +// ./einsim -m s -b 247 -w BLOCKS -c ALL_TRUE -d RANDOM -e NORMAL -o PER_BIT_ERROR_COUNT -s HSC -k 247 -p 1 +{ + "s" : "HSC" + , "k" : 247 + , "p" : 1 + , "uid" : 16025570925095364493 + , "G" : [[0,1,0,0,1,0,1,0,0,0,1,0,1,1,1,0,1,0,0,1,0,0,0,0,1,1,0,1,0,0,1,1,0,0,1,1,0,1,1,0,0,1,1,1,0,1,1,0,0,0,1,0,0,1,1,0,1,0,1,1,0,1,1,1,1,1,1,1,1,0,1,0,0,1,0,0,0,0,1,0,0,0,0,1,0,1,1,1,1,1,1,1,1,1,1,0,0,1,1,0,1,1,1,1,1,0,1,1,1,1,0,1,0,1,0,0,0,1,0,1,0,0,1,1,1,1,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,1,1,1,1,1,1,1,0,0,1,0,0,0,0,1,1,1,0,1,0,1,1,1,1,0,1,0,1,1,1,1,1,0,0,0,1,0,1,0,0,1,1,1,1,0,0,1,0,1,1,1,1,0,1,0,0,0,1,0,0,1,1,0,1,1,0,1,0,1,0,0,0,0,1,0,0,1,0,0,0,0,1,0,0,1,1,1,1,1,1,0,1,0] + ,[1,1,0,0,1,0,0,0,1,0,0,1,1,1,1,1,1,0,1,0,0,1,1,0,1,1,0,1,1,0,1,0,0,1,0,1,0,1,0,1,0,0,0,0,1,0,1,1,0,1,1,0,1,1,1,1,1,0,1,0,1,0,1,0,1,1,0,1,0,1,1,1,1,0,1,0,1,1,1,0,0,1,1,0,0,0,0,1,0,1,0,1,0,1,1,0,1,1,1,1,1,0,1,0,1,1,0,0,0,0,1,1,1,1,1,0,1,1,0,0,0,0,0,1,0,0,1,0,1,1,1,1,0,0,1,0,0,1,0,0,0,1,1,0,0,0,0,1,1,1,1,1,0,0,1,0,1,1,0,0,0,0,1,1,1,1,1,1,0,0,1,0,0,1,1,1,0,0,1,1,1,0,1,0,1,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,1,0,1,1,0,1,1,1,0,0,1,1,0,1,1,0,0,1,0,0,1,1,0,1,0,1,1,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,1,0,1,1] + ,[1,1,0,1,1,1,0,0,0,1,1,1,0,1,1,0,0,1,1,1,1,0,1,0,0,0,1,0,0,1,1,1,0,1,0,0,0,0,1,0,1,1,0,0,0,1,0,1,1,0,0,1,1,1,1,0,0,0,0,1,0,1,1,0,0,0,1,0,1,1,1,1,0,0,0,0,0,1,1,0,0,1,1,0,1,1,1,0,0,0,1,0,1,1,0,1,0,1,1,1,1,0,1,1,0,0,1,1,0,0,0,0,0,1,1,0,1,1,1,1,0,1,0,0,1,1,1,1,0,1,1,0,0,0,1,0,1,0,1,0,0,1,0,1,1,1,0,0,1,0,0,1,1,0,0,0,1,1,0,0,0,1,1,0,1,1,0,1,0,0,1,0,1,1,0,1,0,1,0,0,1,0,0,1,1,1,1,0,0,1,1,0,0,0,0,1,0,0,1,0,0,1,1,1,0,0,1,1,1,1,0,0,1,0,1,0,0,1,0,0,0,1,1,0,1,1,0,1,1,1,1,0,0,0,1,1,1,0,1,1,1,0,0,0,1,1,0] + ,[1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,1,1,1,0,0,0,1,0,1,0,0,1,1,0,0,0,0,1,1,1,0,0,0,1,1,0,1,1,1,1,0,0,1,0,0,0,0,0,1,0,0,1,0,1,0,1,0,0,0,0,1,1,1,0,1,1,0,0,0,0,1,0,1,1,1,1,1,1,0,1,1,1,0,0,0,0,1,1,1,0,1,1,1,1,1,0,0,1,0,1,1,0,0,1,0,0,1,0,1,0,0,1,1,1,1,1,1,0,0,1,1,0,0,1,0,1,0,0,1,0,0,0,1,1,1,0,0,0,0,0,1,0,1,0,1,1,1,1,0,1,0,0,1,1,1,0,0,0,1,0,1,0,1,0,1,1,1,0,1,0,0,1,1,0,1,1,1,1,0,0,1,0,1,0,1,0,0,1,1,0,0,1,1,1,0,0,1,0,0,1,1,0,1,0,1,0,0,1,0,0,0,1,1,0,0,0,1,0,1,0,0,1,1,1,1,0,1,0,1,0,0,0,1,0,1,1,1,1,1,0,1,1] + ,[0,0,0,0,1,1,0,1,1,1,1,0,1,1,0,0,0,1,1,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,1,1,1,0,0,0,1,1,0,0,1,0,0,1,1,0,1,1,0,0,0,1,0,0,0,1,1,1,1,1,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,0,0,0,0,1,1,0,1,1,1,0,0,1,0,1,1,1,1,0,1,0,1,0,0,1,1,1,0,1,1,1,1,1,0,1,0,0,1,1,1,1,1,0,0,0,1,1,1,1,0,0,0,1,0,0,1,1,1,0,0,1,0,0,0,0,1,1,0,0,0,0,0,1,1,1,1,1,0,1,1,1,1,1,1,0,1,1,0,0,0,1,0,0,0,0,1,1,0,0,1,0,1,1,1,0,0,1,1,1,1,1,0,1,1,0,1,0,1,1,1,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,1,1,1,1,0,0,1,1,1,1,1,1,1,1,1,0,1,0,0,1,1,0,1,0,1,1,1,0] + 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PER_BIT_ERROR_COUNT -s HSC -k 26 -p 1 +{ + "s" : "HSC" + , "k" : 26 + , "p" : 1 + , "uid" : 16867715699606065965 + , "G" : [ + [1,0,0,1,1,1,0,0,1,1,0,1,1,1,0,1,0,1,1,0,1,0,0,1,1,0], + [1,0,1,1,0,1,1,0,0,0,0,1,0,1,1,1,1,0,1,1,0,1,0,0,1,1], + [1,1,1,0,0,0,0,0,0,1,1,1,1,1,1,0,1,0,1,0,1,1,1,1,0,0], + [1,1,1,0,1,1,0,1,0,1,0,0,1,0,0,0,0,1,1,1,0,1,1,0,1,1], + [0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [1,0,1,0,0,0,1,1,1,1,1,1,0,0,0,1,1,1,0,0,0,0,1,1,1,1], + [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0], + [0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0], + 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b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-7_4_3-uid_13102305008037299886.json new file mode 100644 index 0000000..f0d8f51 --- /dev/null +++ b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-7_4_3-uid_13102305008037299886.json @@ -0,0 +1,32 @@ +{ + "s" : "HSC" + , "k" : 4 + , "p" : -1 + , "uid" : 13102305008037299886 + , "G" : [ + [1,0,0,0], + [0,1,0,0], + [0,0,1,0], + [0,0,0,1], + [1,1,1,0], + [1,1,0,1], + [0,1,1,1] + ] + , "H" : [ + [0,1,1,1,0,0,1], + [1,1,0,1,0,1,0], + [1,1,1,0,1,0,0] + ] + , "R" : [ + [1,0,0,0,0,0,0], + [0,1,0,0,0,0,0], + [0,0,1,0,0,0,0], + [0,0,0,1,0,0,0] + ] + , "miscorrection_profile" : [ + [[1,0,0,0], [0,0,0,0]], + [[0,1,0,0], [1,0,1,1]], + [[0,0,1,0], [0,0,0,0]], + [[0,0,0,1], [0,0,0,0]] + ] +} diff --git a/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-7_4_3-uid_16401799682360564419.json b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-7_4_3-uid_16401799682360564419.json new file mode 100644 index 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b/example/ecc_scheme_configurations/CD_ALL_TRUE/hamming-sec-7_4_3-uid_7780784305769075745.json @@ -0,0 +1,32 @@ +{ + "s" : "HSC" + , "k" : 4 + , "p" : -1 + , "uid" : 7780784305769075745 + , "G" : [ + [1,0,0,0], + [0,1,0,0], + [0,0,1,0], + [0,0,0,1], + [1,1,1,0], + [1,1,0,1], + [1,0,1,1] + ] + , "H" : [ + [1,1,1,0,1,0,0], + [1,1,0,1,0,1,0], + [1,0,1,1,0,0,1] + ] + , "R" : [ + [1,0,0,0,0,0,0], + [0,1,0,0,0,0,0], + [0,0,1,0,0,0,0], + [0,0,0,1,0,0,0] + ] + , "miscorrection_profile" : [ + [[0,0,0,1],[0,0,0,1]] + ,[[0,0,1,0],[0,0,1,0]] + ,[[0,1,0,0],[0,1,0,0]] + ,[[1,0,0,0],[1,1,1,1]] + ] +} diff --git a/example/ecc_scheme_configurations/CD_COLSTRIPE_T/hamming-sec-16_5_3-uid_4510346246120153783.json b/example/ecc_scheme_configurations/CD_COLSTRIPE_T/hamming-sec-16_5_3-uid_4510346246120153783.json new file mode 100644 index 0000000..6443771 --- /dev/null +++ b/example/ecc_scheme_configurations/CD_COLSTRIPE_T/hamming-sec-16_5_3-uid_4510346246120153783.json @@ -0,0 +1,16 @@ 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-b 4 -w BLOCKS -c COLSTRIPE_T -d $data -e DATA_RETENTION,0.5 -o PER_BIT_ERROR_COUNT -s /tmp/beer_cpp_test | grep '\[DATA]'; done +{ + "s":"HSC" + , "k":4 + , "p":0 + , "uid":2012625956541483402 + , "G":[[1,1,0,1],[0,1,1,1],[1,0,1,1],[0,0,0,1],[1,0,0,0],[0,1,0,0],[0,0,1,0]] + , "H":[[1,1,0,0,1,0,1],[1,0,1,0,0,1,1],[1,1,1,1,0,0,0]] + , "R":[[0,0,0,0,1,0,0],[0,0,0,0,0,1,0],[0,0,0,0,0,0,1],[0,0,0,1,0,0,0]] + , "miscorrection_profile" : + [[[1,0,0,0],[1,1,1,1]] + ,[[0,1,0,0],[1,1,1,1]] + ,[[0,0,1,0],[0,0,0,0]] + ,[[0,0,0,1],[0,0,1,1]]] +} diff --git a/example/error_model_configuration/test_em_config.json b/example/error_model_configuration/test_em_config.json new file mode 100644 index 0000000..aca57e5 --- /dev/null +++ b/example/error_model_configuration/test_em_config.json @@ -0,0 +1,24 @@ +/* Here we describe a 7-bit codeword with different types of errors */ +[ + [ + {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 0 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 1 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 2 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5],[0.6],[0.7]]} /* bit 3 */ + , {"error_model" : "STUCK_AT", "model_params" : [[1]]} /* bit 4 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 5 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 6 */ + ] + , [ + {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.1]]} /* all bits */ + ] + , [ + {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 0 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 1 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 2 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5],[0.6],[0.7]]} /* bit 3 */ + , {"error_model" : "STUCK_AT", "model_params" : [[0], [1]]} /* bit 4 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 5 */ + , {"error_model" : "UNIFORM_RANDOM", "model_params" : [[0.5]]} /* bit 6 */ + ] +] \ No newline at end of file diff --git a/example/proxy_experiment/proxy_experiment b/example/proxy_experiment/proxy_experiment deleted file mode 100644 index 39dd415..0000000 --- a/example/proxy_experiment/proxy_experiment +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:6 9:-1:32 10:-1:96 11:-1:206 12:-1:525 13:-1:1094 14:-1:2302 15:-1:4200 16:-1:7405 17:-1:12097 18:-1:18539 19:-1:26593 20:-1:36565 21:-1:46878 22:-1:57865 23:-1:67996 24:-1:76638 25:-1:81252 26:-1:83255 27:-1:81462 28:-1:76787 29:-1:69526 30:-1:60133 31:-1:50582 32:-1:40841 33:-1:31534 34:-1:23804 35:-1:17238 36:-1:12226 37:-1:8317 38:-1:5441 39:-1:3473 40:-1:2167 41:-1:1258 42:-1:714 43:-1:445 44:-1:257 45:-1:121 46:-1:62 47:-1:33 48:-1:19 49:-1:9 50:-1:4 51:-1:2 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.01 b/example/proxy_experiment/proxy_experiment_noised_0.01 deleted file mode 100644 index 66d25cb..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.01 +++ /dev/null @@ -1,3 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:0 8:-1:5 9:-1:32 10:-1:95 11:-1:202 12:-1:516 13:-1:1121 14:-1:2286 15:-1:4128 16:-1:7382 17:-1:12124 18:-1:18365 19:-1:26598 20:-1:36567 21:-1:46769 22:-1:57914 23:-1:67780 24:-1:76912 25:-1:80259 26:-1:82819 27:-1:81715 28:-1:76886 29:-1:70550 30:-1:59948 31:-1:50957 32:-1:40450 33:-1:31571 34:-1:23691 35:-1:17107 36:-1:12328 37:-1:8233 38:-1:5541 39:-1:3449 40:-1:2178 41:-1:1246 42:-1:715 43:-1:444 44:-1:261 45:-1:120 46:-1:61 47:-1:32 48:-1:19 49:-1:9 50:-1:3 51:-1:2 52:-1:0 ] - diff --git a/example/proxy_experiment/proxy_experiment_noised_0.02 b/example/proxy_experiment/proxy_experiment_noised_0.02 deleted file mode 100644 index 4ece01c..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.02 +++ /dev/null @@ -1,3 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:5 9:-1:32 10:-1:97 11:-1:210 12:-1:510 13:-1:1084 14:-1:2243 15:-1:4219 16:-1:7324 17:-1:12399 18:-1:18365 19:-1:26378 20:-1:36828 21:-1:46267 22:-1:57878 23:-1:69132 24:-1:75592 25:-1:81035 26:-1:84157 27:-1:81516 28:-1:75155 29:-1:69427 30:-1:60598 31:-1:51651 32:-1:40592 33:-1:32118 34:-1:23268 35:-1:16788 36:-1:11973 37:-1:8051 38:-1:5477 39:-1:3363 40:-1:2181 41:-1:1293 42:-1:681 43:-1:452 44:-1:257 45:-1:124 46:-1:60 47:-1:33 48:-1:18 49:-1:8 50:-1:4 51:-1:2 52:-1:0 ] - diff --git a/example/proxy_experiment/proxy_experiment_noised_0.03 b/example/proxy_experiment/proxy_experiment_noised_0.03 deleted file mode 100644 index ec332bf..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.03 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:0 8:-1:6 9:-1:31 10:-1:96 11:-1:197 12:-1:543 13:-1:1063 14:-1:2288 15:-1:4184 16:-1:7578 17:-1:12281 18:-1:18510 19:-1:27011 20:-1:34157 21:-1:47837 22:-1:61483 23:-1:67370 24:-1:72505 25:-1:83441 26:-1:80820 27:-1:83608 28:-1:76409 29:-1:67598 30:-1:62590 31:-1:48829 32:-1:40929 33:-1:32357 34:-1:23135 35:-1:16560 36:-1:12310 37:-1:8166 38:-1:5603 39:-1:3590 40:-1:2125 41:-1:1310 42:-1:693 43:-1:457 44:-1:247 45:-1:125 46:-1:60 47:-1:33 48:-1:18 49:-1:9 50:-1:3 51:-1:2 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.04 b/example/proxy_experiment/proxy_experiment_noised_0.04 deleted file mode 100644 index cf8841a..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.04 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:6 9:-1:31 10:-1:93 11:-1:205 12:-1:544 13:-1:1070 14:-1:2473 15:-1:4112 16:-1:7030 17:-1:11477 18:-1:17667 19:-1:27340 20:-1:38766 21:-1:47086 22:-1:58851 23:-1:66532 24:-1:74956 25:-1:81562 26:-1:80575 27:-1:81383 28:-1:77085 29:-1:67341 30:-1:61364 31:-1:50557 32:-1:38496 33:-1:32042 34:-1:23057 35:-1:17802 36:-1:11500 37:-1:8759 38:-1:5671 39:-1:3266 40:-1:2075 41:-1:1309 42:-1:702 43:-1:435 44:-1:248 45:-1:128 46:-1:60 47:-1:32 48:-1:19 49:-1:8 50:-1:4 51:-1:1 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.05 b/example/proxy_experiment/proxy_experiment_noised_0.05 deleted file mode 100644 index d206c8b..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.05 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:5 9:-1:30 10:-1:91 11:-1:211 12:-1:553 13:-1:1092 14:-1:2116 15:-1:4322 16:-1:7889 17:-1:11982 18:-1:17824 19:-1:29170 20:-1:36893 21:-1:46844 22:-1:57867 23:-1:67192 24:-1:78047 25:-1:85179 26:-1:79630 27:-1:88337 28:-1:76290 29:-1:71417 30:-1:61630 31:-1:54515 32:-1:41976 33:-1:28485 34:-1:22295 35:-1:16806 36:-1:11936 37:-1:7855 38:-1:5431 39:-1:3060 40:-1:2195 41:-1:1258 42:-1:726 43:-1:449 44:-1:268 45:-1:123 46:-1:67 47:-1:31 48:-1:19 49:-1:8 50:-1:3 51:-1:2 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.06 b/example/proxy_experiment/proxy_experiment_noised_0.06 deleted file mode 100644 index 88d2dfb..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.06 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:6 9:-1:33 10:-1:103 11:-1:188 12:-1:519 13:-1:1108 14:-1:2451 15:-1:4308 16:-1:7140 17:-1:12136 18:-1:17401 19:-1:25917 20:-1:39083 21:-1:50427 22:-1:52368 23:-1:71028 24:-1:82575 25:-1:87224 26:-1:83096 27:-1:83153 28:-1:67404 29:-1:67285 30:-1:56378 31:-1:44630 32:-1:43806 33:-1:32631 34:-1:23923 35:-1:16835 36:-1:12047 37:-1:8567 38:-1:5308 39:-1:3629 40:-1:2000 41:-1:1271 42:-1:712 43:-1:519 44:-1:273 45:-1:121 46:-1:61 47:-1:31 48:-1:18 49:-1:8 50:-1:4 51:-1:2 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.07 b/example/proxy_experiment/proxy_experiment_noised_0.07 deleted file mode 100644 index 186fb28..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.07 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:0 8:-1:5 9:-1:29 10:-1:105 11:-1:195 12:-1:497 13:-1:1013 14:-1:2280 15:-1:4286 16:-1:8376 17:-1:12814 18:-1:19687 19:-1:27592 20:-1:36431 21:-1:45543 22:-1:55375 23:-1:70939 24:-1:67958 25:-1:80468 26:-1:90022 27:-1:83497 28:-1:82269 29:-1:75778 30:-1:63674 31:-1:46247 32:-1:45748 33:-1:30306 34:-1:26159 35:-1:15290 36:-1:11989 37:-1:9124 38:-1:5772 39:-1:3212 40:-1:2077 41:-1:1144 42:-1:702 43:-1:450 44:-1:238 45:-1:135 46:-1:64 47:-1:30 48:-1:17 49:-1:7 50:-1:3 51:-1:2 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.08 b/example/proxy_experiment/proxy_experiment_noised_0.08 deleted file mode 100644 index e7790ba..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.08 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:0 8:-1:6 9:-1:31 10:-1:94 11:-1:191 12:-1:503 13:-1:1097 14:-1:2374 15:-1:4221 16:-1:6152 17:-1:10884 18:-1:21206 19:-1:24528 20:-1:37154 21:-1:48368 22:-1:62447 23:-1:68876 24:-1:68520 25:-1:84962 26:-1:77248 27:-1:81728 28:-1:75263 29:-1:67037 30:-1:55102 31:-1:46023 32:-1:47305 33:-1:32407 34:-1:24730 35:-1:17959 36:-1:11959 37:-1:8682 38:-1:4946 39:-1:3052 40:-1:2275 41:-1:1192 42:-1:714 43:-1:436 44:-1:267 45:-1:119 46:-1:67 47:-1:33 48:-1:20 49:-1:9 50:-1:4 51:-1:1 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.09 b/example/proxy_experiment/proxy_experiment_noised_0.09 deleted file mode 100644 index 9495387..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.09 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:5 9:-1:36 10:-1:79 11:-1:223 12:-1:540 13:-1:918 14:-1:2335 15:-1:4800 16:-1:7110 17:-1:12064 18:-1:20493 19:-1:28940 20:-1:44356 21:-1:45330 22:-1:60549 23:-1:72336 24:-1:76352 25:-1:82827 26:-1:79949 27:-1:81322 28:-1:73903 29:-1:71260 30:-1:51870 31:-1:50048 32:-1:37689 33:-1:32154 34:-1:24825 35:-1:15976 36:-1:12937 37:-1:9542 38:-1:4544 39:-1:3664 40:-1:2159 41:-1:1101 42:-1:698 43:-1:404 44:-1:236 45:-1:108 46:-1:59 47:-1:36 48:-1:22 49:-1:9 50:-1:3 51:-1:1 52:-1:0 ] diff --git a/example/proxy_experiment/proxy_experiment_noised_0.10 b/example/proxy_experiment/proxy_experiment_noised_0.10 deleted file mode 100644 index 35a153f..0000000 --- a/example/proxy_experiment/proxy_experiment_noised_0.10 +++ /dev/null @@ -1,2 +0,0 @@ -# Generated using CLI: ./einsim -m s -b 256 -d RANDOM -e UNIFORM_RANDOM -c ALL_TRUE_OR_ALL_ANTI -r 0.1 -k 128 -s HSC -p 0 -n 1000001 -[DATA] UNK: p:-1 t:-1 k:-1 n:-1 rber:-1 bl:256 bcl:-1 ps:-1 ed:-1 cd:-1 dp:-1 [ 7:-1:1 8:-1:5 9:-1:33 10:-1:91 11:-1:173 12:-1:472 13:-1:1210 14:-1:2159 15:-1:3468 16:-1:6949 17:-1:11853 18:-1:17013 19:-1:29479 20:-1:33168 21:-1:42683 22:-1:57148 23:-1:68801 24:-1:63634 25:-1:80786 26:-1:83524 27:-1:81573 28:-1:75922 29:-1:80762 30:-1:59522 31:-1:48453 32:-1:40179 33:-1:30170 34:-1:30036 35:-1:18786 36:-1:15478 37:-1:7652 38:-1:6188 39:-1:3236 40:-1:2089 41:-1:1320 42:-1:656 43:-1:537 44:-1:291 45:-1:108 46:-1:71 47:-1:31 48:-1:21 49:-1:8 50:-1:4 51:-1:1 52:-1:0 ] diff --git a/example/simulation/full_size_dataset/README.md b/example/simulation/full_size_dataset/README.md deleted file mode 100644 index f6ece0d..0000000 --- a/example/simulation/full_size_dataset/README.md +++ /dev/null @@ -1,3 +0,0 @@ -## Obtaining the full-size dataset - -Due to its large size, the full size dataset must be downloaded separately as a GitHub "Release" from https://github.com/CMU-SAFARI/EINSim. diff --git a/example/simulation/reduced_size_dataset/BCH_0xFF_T2_reduced.xz b/example/simulation/reduced_size_dataset/BCH_0xFF_T2_reduced.xz deleted file mode 100644 index 762e06e..0000000 Binary files a/example/simulation/reduced_size_dataset/BCH_0xFF_T2_reduced.xz and /dev/null differ diff --git a/example/simulation/reduced_size_dataset/BCH_RANDOM_T2_reduced.xz b/example/simulation/reduced_size_dataset/BCH_RANDOM_T2_reduced.xz deleted file mode 100644 index 9cc9f0c..0000000 Binary files a/example/simulation/reduced_size_dataset/BCH_RANDOM_T2_reduced.xz and /dev/null differ diff --git a/example/simulation/reduced_size_dataset/HSC_0xFF_T1_reduced.xz b/example/simulation/reduced_size_dataset/HSC_0xFF_T1_reduced.xz deleted file mode 100644 index f99df8d..0000000 Binary files a/example/simulation/reduced_size_dataset/HSC_0xFF_T1_reduced.xz and /dev/null differ diff --git a/example/simulation/reduced_size_dataset/HSC_RANDOM_T1_reduced.xz b/example/simulation/reduced_size_dataset/HSC_RANDOM_T1_reduced.xz deleted file mode 100644 index b17789e..0000000 Binary files a/example/simulation/reduced_size_dataset/HSC_RANDOM_T1_reduced.xz and /dev/null differ diff --git a/lib/crc64/crc64.h b/lib/crc64/crc64.h new file mode 100644 index 0000000..5268c5c --- /dev/null +++ b/lib/crc64/crc64.h @@ -0,0 +1,193 @@ +/* Redis uses the CRC64 variant with "Jones" coefficients and init value of 0. + * + * Specification of this CRC64 variant follows: + * Name: crc-64-jones + * Width: 64 bites + * Poly: 0xad93d23594c935a9 + * Reflected In: True + * Xor_In: 0xffffffffffffffff + * Reflected_Out: True + * Xor_Out: 0x0 + * Check("123456789"): 0xe9c6d914c4b8d9ca + * + * Copyright (c) 2012, Salvatore Sanfilippo + * All rights reserved. + * + * Redistribution and use in source and binary forms, with or without + * modification, are permitted provided that the following conditions are met: + * + * * Redistributions of source code must retain the above copyright notice, + * this list of conditions and the following disclaimer. + * * Redistributions in binary form must reproduce the above copyright + * notice, this list of conditions and the following disclaimer in the + * documentation and/or other materials provided with the distribution. + * * Neither the name of Redis nor the names of its contributors may be used + * to endorse or promote products derived from this software without + * specific prior written permission. + * + * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" + * AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE + * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE + * ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE + * LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR + * CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF + * SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS + * INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN + * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) + * ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE + * POSSIBILITY OF SUCH DAMAGE. */ + +#include + +static const uint64_t crc64_tab[256] = { + UINT64_C(0x0000000000000000), UINT64_C(0x7ad870c830358979), + UINT64_C(0xf5b0e190606b12f2), UINT64_C(0x8f689158505e9b8b), + UINT64_C(0xc038e5739841b68f), UINT64_C(0xbae095bba8743ff6), + UINT64_C(0x358804e3f82aa47d), UINT64_C(0x4f50742bc81f2d04), + UINT64_C(0xab28ecb46814fe75), UINT64_C(0xd1f09c7c5821770c), + UINT64_C(0x5e980d24087fec87), UINT64_C(0x24407dec384a65fe), + UINT64_C(0x6b1009c7f05548fa), UINT64_C(0x11c8790fc060c183), + UINT64_C(0x9ea0e857903e5a08), UINT64_C(0xe478989fa00bd371), + UINT64_C(0x7d08ff3b88be6f81), UINT64_C(0x07d08ff3b88be6f8), + UINT64_C(0x88b81eabe8d57d73), UINT64_C(0xf2606e63d8e0f40a), + UINT64_C(0xbd301a4810ffd90e), UINT64_C(0xc7e86a8020ca5077), + UINT64_C(0x4880fbd87094cbfc), UINT64_C(0x32588b1040a14285), + UINT64_C(0xd620138fe0aa91f4), UINT64_C(0xacf86347d09f188d), + UINT64_C(0x2390f21f80c18306), UINT64_C(0x594882d7b0f40a7f), + UINT64_C(0x1618f6fc78eb277b), UINT64_C(0x6cc0863448deae02), + UINT64_C(0xe3a8176c18803589), UINT64_C(0x997067a428b5bcf0), + UINT64_C(0xfa11fe77117cdf02), UINT64_C(0x80c98ebf2149567b), + UINT64_C(0x0fa11fe77117cdf0), UINT64_C(0x75796f2f41224489), + UINT64_C(0x3a291b04893d698d), UINT64_C(0x40f16bccb908e0f4), + UINT64_C(0xcf99fa94e9567b7f), UINT64_C(0xb5418a5cd963f206), + UINT64_C(0x513912c379682177), UINT64_C(0x2be1620b495da80e), + UINT64_C(0xa489f35319033385), UINT64_C(0xde51839b2936bafc), + UINT64_C(0x9101f7b0e12997f8), UINT64_C(0xebd98778d11c1e81), + UINT64_C(0x64b116208142850a), UINT64_C(0x1e6966e8b1770c73), + UINT64_C(0x8719014c99c2b083), UINT64_C(0xfdc17184a9f739fa), + UINT64_C(0x72a9e0dcf9a9a271), UINT64_C(0x08719014c99c2b08), + UINT64_C(0x4721e43f0183060c), UINT64_C(0x3df994f731b68f75), + UINT64_C(0xb29105af61e814fe), UINT64_C(0xc849756751dd9d87), + UINT64_C(0x2c31edf8f1d64ef6), UINT64_C(0x56e99d30c1e3c78f), + UINT64_C(0xd9810c6891bd5c04), UINT64_C(0xa3597ca0a188d57d), + UINT64_C(0xec09088b6997f879), UINT64_C(0x96d1784359a27100), + UINT64_C(0x19b9e91b09fcea8b), UINT64_C(0x636199d339c963f2), + UINT64_C(0xdf7adabd7a6e2d6f), UINT64_C(0xa5a2aa754a5ba416), + UINT64_C(0x2aca3b2d1a053f9d), UINT64_C(0x50124be52a30b6e4), + UINT64_C(0x1f423fcee22f9be0), UINT64_C(0x659a4f06d21a1299), + UINT64_C(0xeaf2de5e82448912), UINT64_C(0x902aae96b271006b), + UINT64_C(0x74523609127ad31a), UINT64_C(0x0e8a46c1224f5a63), + UINT64_C(0x81e2d7997211c1e8), UINT64_C(0xfb3aa75142244891), + UINT64_C(0xb46ad37a8a3b6595), UINT64_C(0xceb2a3b2ba0eecec), + UINT64_C(0x41da32eaea507767), UINT64_C(0x3b024222da65fe1e), + UINT64_C(0xa2722586f2d042ee), UINT64_C(0xd8aa554ec2e5cb97), + UINT64_C(0x57c2c41692bb501c), UINT64_C(0x2d1ab4dea28ed965), + UINT64_C(0x624ac0f56a91f461), UINT64_C(0x1892b03d5aa47d18), + UINT64_C(0x97fa21650afae693), UINT64_C(0xed2251ad3acf6fea), + UINT64_C(0x095ac9329ac4bc9b), UINT64_C(0x7382b9faaaf135e2), + UINT64_C(0xfcea28a2faafae69), UINT64_C(0x8632586aca9a2710), + UINT64_C(0xc9622c4102850a14), UINT64_C(0xb3ba5c8932b0836d), + UINT64_C(0x3cd2cdd162ee18e6), UINT64_C(0x460abd1952db919f), + UINT64_C(0x256b24ca6b12f26d), UINT64_C(0x5fb354025b277b14), + UINT64_C(0xd0dbc55a0b79e09f), UINT64_C(0xaa03b5923b4c69e6), + UINT64_C(0xe553c1b9f35344e2), UINT64_C(0x9f8bb171c366cd9b), + UINT64_C(0x10e3202993385610), UINT64_C(0x6a3b50e1a30ddf69), + UINT64_C(0x8e43c87e03060c18), UINT64_C(0xf49bb8b633338561), + UINT64_C(0x7bf329ee636d1eea), UINT64_C(0x012b592653589793), + UINT64_C(0x4e7b2d0d9b47ba97), UINT64_C(0x34a35dc5ab7233ee), + UINT64_C(0xbbcbcc9dfb2ca865), UINT64_C(0xc113bc55cb19211c), + UINT64_C(0x5863dbf1e3ac9dec), UINT64_C(0x22bbab39d3991495), + UINT64_C(0xadd33a6183c78f1e), UINT64_C(0xd70b4aa9b3f20667), + UINT64_C(0x985b3e827bed2b63), UINT64_C(0xe2834e4a4bd8a21a), + UINT64_C(0x6debdf121b863991), UINT64_C(0x1733afda2bb3b0e8), + UINT64_C(0xf34b37458bb86399), UINT64_C(0x8993478dbb8deae0), + UINT64_C(0x06fbd6d5ebd3716b), UINT64_C(0x7c23a61ddbe6f812), + UINT64_C(0x3373d23613f9d516), UINT64_C(0x49aba2fe23cc5c6f), + UINT64_C(0xc6c333a67392c7e4), UINT64_C(0xbc1b436e43a74e9d), + UINT64_C(0x95ac9329ac4bc9b5), UINT64_C(0xef74e3e19c7e40cc), + UINT64_C(0x601c72b9cc20db47), UINT64_C(0x1ac40271fc15523e), + UINT64_C(0x5594765a340a7f3a), UINT64_C(0x2f4c0692043ff643), + UINT64_C(0xa02497ca54616dc8), UINT64_C(0xdafce7026454e4b1), + UINT64_C(0x3e847f9dc45f37c0), UINT64_C(0x445c0f55f46abeb9), + UINT64_C(0xcb349e0da4342532), UINT64_C(0xb1eceec59401ac4b), + UINT64_C(0xfebc9aee5c1e814f), UINT64_C(0x8464ea266c2b0836), + UINT64_C(0x0b0c7b7e3c7593bd), UINT64_C(0x71d40bb60c401ac4), + UINT64_C(0xe8a46c1224f5a634), UINT64_C(0x927c1cda14c02f4d), + UINT64_C(0x1d148d82449eb4c6), UINT64_C(0x67ccfd4a74ab3dbf), + UINT64_C(0x289c8961bcb410bb), UINT64_C(0x5244f9a98c8199c2), + UINT64_C(0xdd2c68f1dcdf0249), UINT64_C(0xa7f41839ecea8b30), + UINT64_C(0x438c80a64ce15841), UINT64_C(0x3954f06e7cd4d138), + UINT64_C(0xb63c61362c8a4ab3), UINT64_C(0xcce411fe1cbfc3ca), + UINT64_C(0x83b465d5d4a0eece), UINT64_C(0xf96c151de49567b7), + UINT64_C(0x76048445b4cbfc3c), UINT64_C(0x0cdcf48d84fe7545), + UINT64_C(0x6fbd6d5ebd3716b7), UINT64_C(0x15651d968d029fce), + UINT64_C(0x9a0d8ccedd5c0445), UINT64_C(0xe0d5fc06ed698d3c), + UINT64_C(0xaf85882d2576a038), UINT64_C(0xd55df8e515432941), + UINT64_C(0x5a3569bd451db2ca), UINT64_C(0x20ed197575283bb3), + UINT64_C(0xc49581ead523e8c2), UINT64_C(0xbe4df122e51661bb), + UINT64_C(0x3125607ab548fa30), UINT64_C(0x4bfd10b2857d7349), + UINT64_C(0x04ad64994d625e4d), UINT64_C(0x7e7514517d57d734), + UINT64_C(0xf11d85092d094cbf), UINT64_C(0x8bc5f5c11d3cc5c6), + UINT64_C(0x12b5926535897936), UINT64_C(0x686de2ad05bcf04f), + UINT64_C(0xe70573f555e26bc4), UINT64_C(0x9ddd033d65d7e2bd), + UINT64_C(0xd28d7716adc8cfb9), UINT64_C(0xa85507de9dfd46c0), + UINT64_C(0x273d9686cda3dd4b), UINT64_C(0x5de5e64efd965432), + UINT64_C(0xb99d7ed15d9d8743), UINT64_C(0xc3450e196da80e3a), + UINT64_C(0x4c2d9f413df695b1), UINT64_C(0x36f5ef890dc31cc8), + UINT64_C(0x79a59ba2c5dc31cc), UINT64_C(0x037deb6af5e9b8b5), + UINT64_C(0x8c157a32a5b7233e), UINT64_C(0xf6cd0afa9582aa47), + UINT64_C(0x4ad64994d625e4da), UINT64_C(0x300e395ce6106da3), + UINT64_C(0xbf66a804b64ef628), UINT64_C(0xc5bed8cc867b7f51), + UINT64_C(0x8aeeace74e645255), UINT64_C(0xf036dc2f7e51db2c), + UINT64_C(0x7f5e4d772e0f40a7), UINT64_C(0x05863dbf1e3ac9de), + UINT64_C(0xe1fea520be311aaf), UINT64_C(0x9b26d5e88e0493d6), + UINT64_C(0x144e44b0de5a085d), UINT64_C(0x6e963478ee6f8124), + UINT64_C(0x21c640532670ac20), UINT64_C(0x5b1e309b16452559), + UINT64_C(0xd476a1c3461bbed2), UINT64_C(0xaeaed10b762e37ab), + UINT64_C(0x37deb6af5e9b8b5b), UINT64_C(0x4d06c6676eae0222), + UINT64_C(0xc26e573f3ef099a9), UINT64_C(0xb8b627f70ec510d0), + UINT64_C(0xf7e653dcc6da3dd4), UINT64_C(0x8d3e2314f6efb4ad), + UINT64_C(0x0256b24ca6b12f26), UINT64_C(0x788ec2849684a65f), + UINT64_C(0x9cf65a1b368f752e), UINT64_C(0xe62e2ad306bafc57), + UINT64_C(0x6946bb8b56e467dc), UINT64_C(0x139ecb4366d1eea5), + UINT64_C(0x5ccebf68aecec3a1), UINT64_C(0x2616cfa09efb4ad8), + UINT64_C(0xa97e5ef8cea5d153), UINT64_C(0xd3a62e30fe90582a), + UINT64_C(0xb0c7b7e3c7593bd8), UINT64_C(0xca1fc72bf76cb2a1), + UINT64_C(0x45775673a732292a), UINT64_C(0x3faf26bb9707a053), + UINT64_C(0x70ff52905f188d57), UINT64_C(0x0a2722586f2d042e), + UINT64_C(0x854fb3003f739fa5), UINT64_C(0xff97c3c80f4616dc), + UINT64_C(0x1bef5b57af4dc5ad), UINT64_C(0x61372b9f9f784cd4), + UINT64_C(0xee5fbac7cf26d75f), UINT64_C(0x9487ca0fff135e26), + UINT64_C(0xdbd7be24370c7322), UINT64_C(0xa10fceec0739fa5b), + UINT64_C(0x2e675fb4576761d0), UINT64_C(0x54bf2f7c6752e8a9), + UINT64_C(0xcdcf48d84fe75459), UINT64_C(0xb71738107fd2dd20), + UINT64_C(0x387fa9482f8c46ab), UINT64_C(0x42a7d9801fb9cfd2), + UINT64_C(0x0df7adabd7a6e2d6), UINT64_C(0x772fdd63e7936baf), + UINT64_C(0xf8474c3bb7cdf024), UINT64_C(0x829f3cf387f8795d), + UINT64_C(0x66e7a46c27f3aa2c), UINT64_C(0x1c3fd4a417c62355), + UINT64_C(0x935745fc4798b8de), UINT64_C(0xe98f353477ad31a7), + UINT64_C(0xa6df411fbfb21ca3), UINT64_C(0xdc0731d78f8795da), + UINT64_C(0x536fa08fdfd90e51), UINT64_C(0x29b7d047efec8728), +}; + +template< typename T > +uint64_t crc64(uint64_t crc, T s, uint64_t l) +{ + uint64_t j; + for(j = 0; j < l; j++) + { + uint8_t byte = s[j]; + crc = crc64_tab[(uint8_t)crc ^ byte] ^ (crc >> 8); + } + return crc; +} + +/* Test main */ +#ifdef TEST_MAIN +#include +int main(void) { + printf("e9c6d914c4b8d9ca == %016llx\n", + (unsigned long long) crc64(0,(unsigned char*)"123456789",9)); + return 0; +} +#endif \ No newline at end of file diff --git a/lib/cxxopts/cxxopts.h b/lib/cxxopts/cxxopts.h index 40afae2..cf3899d 100644 --- a/lib/cxxopts/cxxopts.h +++ b/lib/cxxopts/cxxopts.h @@ -29,6 +29,7 @@ THE SOFTWARE. #include #include #include +#include #include #include #include @@ -43,11 +44,23 @@ THE SOFTWARE. #define CXXOPTS_HAS_OPTIONAL #endif +#ifndef CXXOPTS_VECTOR_DELIMITER +#define CXXOPTS_VECTOR_DELIMITER ',' +#endif + +#define CXXOPTS__VERSION_MAJOR 2 +#define CXXOPTS__VERSION_MINOR 2 +#define CXXOPTS__VERSION_PATCH 0 + namespace cxxopts { static constexpr struct { uint8_t major, minor, patch; - } version = {2, 1, 0}; + } version = { + CXXOPTS__VERSION_MAJOR, + CXXOPTS__VERSION_MINOR, + CXXOPTS__VERSION_PATCH + }; } //when we ask cxxopts to use Unicode, help strings are processed using ICU, @@ -202,7 +215,7 @@ namespace cxxopts T toLocalString(T&& t) { - return t; + return std::forward(t); } inline @@ -301,6 +314,9 @@ namespace cxxopts virtual std::shared_ptr implicit_value(const std::string& value) = 0; + virtual std::shared_ptr + no_implicit_value() = 0; + virtual bool is_boolean() const = 0; }; @@ -346,7 +362,7 @@ namespace cxxopts { public: option_exists_error(const std::string& option) - : OptionSpecException(u8"Option " + LQUOTE + option + RQUOTE + u8" already exists") + : OptionSpecException("Option " + LQUOTE + option + RQUOTE + " already exists") { } }; @@ -355,7 +371,16 @@ namespace cxxopts { public: invalid_option_format_error(const std::string& format) - : OptionSpecException(u8"Invalid option format " + LQUOTE + format + RQUOTE) + : OptionSpecException("Invalid option format " + LQUOTE + format + RQUOTE) + { + } + }; + + class option_syntax_exception : public OptionParseException { + public: + option_syntax_exception(const std::string& text) + : OptionParseException("Argument " + LQUOTE + text + RQUOTE + + " starts with a - but has incorrect syntax") { } }; @@ -364,7 +389,7 @@ namespace cxxopts { public: option_not_exists_exception(const std::string& option) - : OptionParseException(u8"Option " + LQUOTE + option + RQUOTE + u8" does not exist") + : OptionParseException("Option " + LQUOTE + option + RQUOTE + " does not exist") { } }; @@ -374,7 +399,7 @@ namespace cxxopts public: missing_argument_exception(const std::string& option) : OptionParseException( - u8"Option " + LQUOTE + option + RQUOTE + u8" is missing an argument" + "Option " + LQUOTE + option + RQUOTE + " is missing an argument" ) { } @@ -385,7 +410,7 @@ namespace cxxopts public: option_requires_argument_exception(const std::string& option) : OptionParseException( - u8"Option " + LQUOTE + option + RQUOTE + u8" requires an argument" + "Option " + LQUOTE + option + RQUOTE + " requires an argument" ) { } @@ -400,8 +425,8 @@ namespace cxxopts const std::string& arg ) : OptionParseException( - u8"Option " + LQUOTE + option + RQUOTE + - u8" does not take an argument, but argument " + + "Option " + LQUOTE + option + RQUOTE + + " does not take an argument, but argument " + LQUOTE + arg + RQUOTE + " given" ) { @@ -412,7 +437,7 @@ namespace cxxopts { public: option_not_present_exception(const std::string& option) - : OptionParseException(u8"Option " + LQUOTE + option + RQUOTE + u8" not present") + : OptionParseException("Option " + LQUOTE + option + RQUOTE + " not present") { } }; @@ -425,7 +450,7 @@ namespace cxxopts const std::string& arg ) : OptionParseException( - u8"Argument " + LQUOTE + arg + RQUOTE + u8" failed to parse" + "Argument " + LQUOTE + arg + RQUOTE + " failed to parse" ) { } @@ -436,22 +461,42 @@ namespace cxxopts public: option_required_exception(const std::string& option) : OptionParseException( - u8"Option " + LQUOTE + option + RQUOTE + u8" is required but not present" + "Option " + LQUOTE + option + RQUOTE + " is required but not present" ) { } }; + template + void throw_or_mimic(const std::string& text) + { + static_assert(std::is_base_of::value, + "throw_or_mimic only works on std::exception and " + "deriving classes"); + +#ifndef CXXOPTS_NO_EXCEPTIONS + // If CXXOPTS_NO_EXCEPTIONS is not defined, just throw + throw T{text}; +#else + // Otherwise manually instantiate the exception, print what() to stderr, + // and abort + T exception{text}; + std::cerr << exception.what() << std::endl; + std::cerr << "Aborting (exceptions disabled)..." << std::endl; + std::abort(); +#endif + } + namespace values { namespace { std::basic_regex integer_pattern - ("(-)?(0x)?([1-9a-zA-Z][0-9a-zA-Z]*)|((0x)?0)"); + ("(-)?(0x)?([0-9a-zA-Z]+)|((0x)?0)"); std::basic_regex truthy_pattern - ("(t|T)(rue)?"); + ("(t|T)(rue)?|1"); std::basic_regex falsy_pattern - ("((f|F)(alse)?)?"); + ("(f|F)(alse)?|0"); } namespace detail @@ -468,16 +513,16 @@ namespace cxxopts { if (negative) { - if (u > static_cast(-std::numeric_limits::min())) + if (u > static_cast((std::numeric_limits::min)())) { - throw argument_incorrect_type(text); + throw_or_mimic(text); } } else { - if (u > static_cast(std::numeric_limits::max())) + if (u > static_cast((std::numeric_limits::max)())) { - throw argument_incorrect_type(text); + throw_or_mimic(text); } } } @@ -506,14 +551,15 @@ namespace cxxopts // if we got to here, then `t` is a positive number that fits into // `R`. So to avoid MSVC C4146, we first cast it to `R`. // See https://github.com/jarro2783/cxxopts/issues/62 for more details. - return -static_cast(t); + return static_cast(-static_cast(t-1)-1); } template T - checked_negate(T&&, const std::string& text, std::false_type) + checked_negate(T&& t, const std::string& text, std::false_type) { - throw argument_incorrect_type(text); + throw_or_mimic(text); + return t; } template @@ -525,7 +571,7 @@ namespace cxxopts if (match.length() == 0) { - throw argument_incorrect_type(text); + throw_or_mimic(text); } if (match.length(4) > 0) @@ -536,7 +582,6 @@ namespace cxxopts using US = typename std::make_unsigned::type; - constexpr auto umax = std::numeric_limits::max(); constexpr bool is_signed = std::numeric_limits::is_signed; const bool negative = match.length(1) > 0; const uint8_t base = match.length(2) > 0 ? 16 : 10; @@ -547,31 +592,32 @@ namespace cxxopts for (auto iter = value_match.first; iter != value_match.second; ++iter) { - size_t digit = 0; + US digit = 0; if (*iter >= '0' && *iter <= '9') { - digit = *iter - '0'; + digit = static_cast(*iter - '0'); } else if (base == 16 && *iter >= 'a' && *iter <= 'f') { - digit = *iter - 'a' + 10; + digit = static_cast(*iter - 'a' + 10); } else if (base == 16 && *iter >= 'A' && *iter <= 'F') { - digit = *iter - 'A' + 10; + digit = static_cast(*iter - 'A' + 10); } else { - throw argument_incorrect_type(text); + throw_or_mimic(text); } - if (umax - digit < result * base) + const US next = static_cast(result * base + digit); + if (result > next) { - throw argument_incorrect_type(text); + throw_or_mimic(text); } - result = result * base + digit; + result = next; } detail::check_signed_range(negative, result, text); @@ -584,7 +630,7 @@ namespace cxxopts } else { - value = result; + value = static_cast(result); } } @@ -594,7 +640,7 @@ namespace cxxopts std::stringstream in(text); in >> value; if (!in) { - throw argument_incorrect_type(text); + throw_or_mimic(text); } } @@ -674,7 +720,7 @@ namespace cxxopts return; } - throw argument_incorrect_type(text); + throw_or_mimic(text); } inline @@ -697,9 +743,13 @@ namespace cxxopts void parse_value(const std::string& text, std::vector& value) { - T v; - parse_value(text, v); - value.push_back(v); + std::stringstream in(text); + std::string token; + while(in.eof() == false && std::getline(in, token, CXXOPTS_VECTOR_DELIMITER)) { + T v; + parse_value(token, v); + value.emplace_back(std::move(v)); + } } #ifdef CXXOPTS_HAS_OPTIONAL @@ -713,6 +763,17 @@ namespace cxxopts } #endif + inline + void parse_value(const std::string& text, char& c) + { + if (text.length() != 1) + { + throw_or_mimic(text); + } + + c = text[0]; + } + template struct type_is_container { @@ -808,6 +869,13 @@ namespace cxxopts return shared_from_this(); } + std::shared_ptr + no_implicit_value() + { + m_implicit = false; + return shared_from_this(); + } + std::string get_default_value() const { @@ -1018,19 +1086,31 @@ namespace cxxopts parse_default(std::shared_ptr details) { ensure_value(details); + m_default = true; m_value->parse(); } size_t - count() const + count() const noexcept { return m_count; } + // TODO: maybe default options should count towards the number of arguments + bool + has_default() const noexcept + { + return m_default; + } + template const T& as() const { + if (m_value == nullptr) { + throw_or_mimic("No value"); + } + #ifdef CXXOPTS_NO_RTTI return static_cast&>(*m_value).get(); #else @@ -1050,6 +1130,7 @@ namespace cxxopts std::shared_ptr m_value; size_t m_count = 0; + bool m_default = false; }; class KeyValue @@ -1068,7 +1149,8 @@ namespace cxxopts return m_key; } - const std::string + const + std::string& value() const { return m_value; @@ -1093,15 +1175,18 @@ namespace cxxopts public: ParseResult( - const std::unordered_map>&, + const std::shared_ptr< + std::unordered_map> + >, std::vector, - int&, const char**&); + bool allow_unrecognised, + int&, char**&); size_t count(const std::string& o) const { - auto iter = m_options.find(o); - if (iter == m_options.end()) + auto iter = m_options->find(o); + if (iter == m_options->end()) { return 0; } @@ -1114,11 +1199,11 @@ namespace cxxopts const OptionValue& operator[](const std::string& option) const { - auto iter = m_options.find(option); + auto iter = m_options->find(option); - if (iter == m_options.end()) + if (iter == m_options->end()) { - throw option_not_present_exception(option); + throw_or_mimic(option); } auto riter = m_results.find(iter->second); @@ -1134,11 +1219,8 @@ namespace cxxopts private: - OptionValue& - get_option(std::shared_ptr); - void - parse(int& argc, const char**& argv); + parse(int& argc, char**& argv); void add_to_option(const std::string& option, const std::string& arg); @@ -1161,24 +1243,51 @@ namespace cxxopts checked_parse_arg ( int argc, - const char* argv[], + char* argv[], int& current, std::shared_ptr value, const std::string& name ); - const std::unordered_map> - &m_options; + const std::shared_ptr< + std::unordered_map> + > m_options; std::vector m_positional; std::vector::iterator m_next_positional; std::unordered_set m_positional_set; std::unordered_map, OptionValue> m_results; + bool m_allow_unrecognised; + std::vector m_sequential; }; + struct Option + { + Option + ( + const std::string& opts, + const std::string& desc, + const std::shared_ptr& value = ::cxxopts::value(), + const std::string& arg_help = "" + ) + : opts_(opts) + , desc_(desc) + , value_(value) + , arg_help_(arg_help) + { + } + + std::string opts_; + std::string desc_; + std::shared_ptr value_; + std::string arg_help_; + }; + class Options { + typedef std::unordered_map> + OptionMap; public: Options(std::string program, std::string help_string = "") @@ -1187,6 +1296,8 @@ namespace cxxopts , m_custom_help("[OPTION...]") , m_positional_help("positional parameters") , m_show_positional(false) + , m_allow_unrecognised(false) + , m_options(std::make_shared()) , m_next_positional(m_positional.end()) { } @@ -1212,12 +1323,33 @@ namespace cxxopts return *this; } + Options& + allow_unrecognised_options() + { + m_allow_unrecognised = true; + return *this; + } + ParseResult - parse(int& argc, const char**& argv); + parse(int& argc, char**& argv); OptionAdder add_options(std::string group = ""); + void + add_options + ( + const std::string& group, + std::initializer_list