run_benchmarks.py script and folder

Signed-off-by: adir <adir@il.ibm.com>

Author: aaadir

cmd/benchmarking/run_benchmarks.py

@@ -242,7 +242,6 @@ def append_dict_as_row(filename: str, data: dict):
     ('BenchmarkTransferProofGeneration', "", ""), 
     ('BenchmarkIssuer', "", issuer_benchmarks_folder), 
     ('BenchmarkProofVerificationIssuer', "", issuer_benchmarks_folder), 
-    ('BenchmarkVerificationSenderProof', "", ""), 
     ('BenchmarkTransferServiceTransfer', "", v1_benchmarks_folder), 
 ]
 parallel_tests = [

docs/benchmark/core/dlognogh/dlognogh.md

@@ -215,4 +215,36 @@ Timeline: [▇▇▇█▇▇▇▇▆▇] (Max: 131 ops/s)
     --- PASS: TestParallelBenchmarkSender/Setup(bits_32,_curve_BN254,_#i_2,_#o_2)_with_10_workers (13.96s)
 PASS
 ok      github.com/hyperledger-labs/fabric-token-sdk/token/core/zkatdlog/nogh/v1/transfer       14.566s
-```
+```
+
+### Running selected benchmarks with run_benchmarks.py
+The run_benchmarks.py script runs selected benchmarks and summarizes their results in a csv file, so it could be followed as more optimizations are added. 
+To run this script goto the ../fabric-token-sdk/cmd/benchmarking folder and run
+```shell
+python run_benchmarks.py
+```
+
+This creates a subfolder that collects the logs of all the benchmarks and the csv file (**benchmark_results.csv**) that has a separate row for every invocation of the script with the selected metrics collected for all the benchmarks. 
+The folder is named **benchmark_logs_<date>** for example **benchmark_logs_2026-01-19_06-56-41**, where the date indicates the time when the script was run.
+
+The script supports the following flags:
+
+`--count`
+: the number of times to run the benchmark
+
+`--timeout`
+: the maximum time (in seconds) to for the benchmark. Thje default is 0, implying no limit.
+
+`--benchName`
+: The single benchmark that should be run by the script. The default is to run the whole selection of benchmarks.
+
+**Example runs:**
+
+- Running all the selected benchmarks:
+```shell
+python run_benchmarks.py --benchName BenchmarkSender --timeout 4s --count 5
+```
+- Running just one selected benchmark 5 times for no more than 4 seconds:
+```shell
+python run_benchmarks.py --benchName BenchmarkSender --timeout 4s --count 5
+```