Merge branch 'develop'

*.ipynb filter=nbstripout

*.ipynb diff=ipynb

dist/

xlap.egg-info/

.ipynb_checkpoints/

.venv/

[[source]]

name = "pypi"

url = "https://pypi.org/simple"

verify_ssl = true

[dev-packages]

[packages]

jupyter = "*"

matplotlib = "*"

pandas = "*"

numpy = "*"

scipy = "*"

ruamel-yaml = "*"

scikit-learn = "*"

graphviz = "*"

jupyterlab = "*"

nbstripout = "*"

nbconvert = "*"

[requires]

python_version = "3.6"

%% Cell type:markdown id: tags:

# X-Lap in Action

%% Cell type:markdown id: tags:

## Imports

%% Cell type:code id: tags:

``` python

import logging

logger = logging.getLogger()

logger.setLevel(logging.DEBUG)

from ipywidgets import interact, interactive, fixed, interact_manual

import ipywidgets as widgets

from xlap.parse import evaluate, evaluate_side, parse_config

import xlap.analyse.jitter as jitter

from xlap.analyse.regress import linear as linear_regression

from xlap.analyse.trace import traces

from xlap.analyse.correlation import correlation

from xlap.analyse.latency import analyse

import pandas as pd

%matplotlib inline

```

%% Cell type:markdown id: tags:

## Data Retrieval

%% Cell type:code id: tags:

``` python

from xlap.parse import evaluate, parse_config

config = parse_config()

data_files = config["data_files"]

original = evaluate(data_files["sender"], data_files["receiver"], config=config, kind=0)

data_files = {

    "sender": "rtn2018/20180417_testbed/",

    "receiver": "rtn2018/20180417_testbed/"

}

df_1GHz = evaluate(data_files["sender"] + "sender-1000000.csv", data_files["receiver"] + "receiver-1000000.csv", config=config, kind=0)

df_1GHz.name = "1GHz"

df_2GHz = evaluate(data_files["sender"] + "sender-2000000.csv", data_files["receiver"] + "receiver-2000000.csv", config=config, kind=0)

df_2GHz.name = "2GHz"

df_3GHz = evaluate(data_files["sender"] + "sender-3000000.csv", data_files["receiver"] + "receiver-3000000.csv", config=config, kind=0)

df_3GHz.name = "3GHz"

dfs = [df_1GHz, df_2GHz, df_3GHz]

```

%% Cell type:markdown id: tags:

## Traces

## Individual Packet Traces

%% Cell type:code id: tags:

``` python

traces(original, config)

from xlap.analyse.trace import traces

traces(df_1GHz, config, global_xaxis=True)

```

%% Cell type:markdown id: tags:

## Jitter Analysis

## Trace Jitter Analysis

%% Cell type:code id: tags:

``` python

df = jitter.prep(original, config=config)

jitter.trace_jitter(df, threshold=500)

from xlap.analyse.jitter import multi_trace_jitter

multi_trace_jitter(dfs, config)

```

%% Cell type:markdown id: tags:

## Correlation

## Latency Distributions

%% Cell type:code id: tags:

``` python

correlation(df[df["EndToEnd_D"] < 500], config)

from xlap.analyse.cdf import multi_cdf

from xlap.analyse.util import colors

import copy

cfg = copy.deepcopy(config)

list(map(cfg["durations"].pop, ("Decoding",

                                "ReceiverIPC",

                                "HandlePacket",

                                "Feedback",

                                "SenderIPC",

                                "SenderEnqueued",

                                "Enqueue")))

multi_cdf(dfs, cfg, colors=colors)

```

%% Cell type:markdown id: tags:

## Correlation with E2E Latency

%% Cell type:code id: tags:

``` python

from xlap.analyse.correlation import multi_correlation

multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)

```

%% Cell type:markdown id: tags:

# $\Delta$elta

## Latency Criticality

%% Cell type:code id: tags:

``` python

d = analyse(original, config)

from xlap.analyse.latency import analyse

d = analyse(df_1GHz, config)

```

%% Cell type:markdown id: tags:

### Correlations

%% Cell type:code id: tags:

``` python

d.corr.sort_values(ascending=False)

```

%% Cell type:markdown id: tags:

### Control Flow Graph

%% Cell type:code id: tags:

``` python

d.cfg

```

%% Cell type:markdown id: tags:

## Timing Behaviour

%% Cell type:code id: tags:

``` python

from xlap.analyse.timing import timing_behaviour

timing_behaviour(df_1GHz, df_2GHz, config)

```

%% Cell type:code id: tags:

``` python

timing_behaviour(df_1GHz, df_3GHz, config)

```

%% Cell type:code id: tags:

``` python

timing_behaviour(df_2GHz, df_3GHz, config)

```