Commit f6dd9a07 authored by Andreas Schmidt's avatar Andreas Schmidt
Browse files

~= rename X-Lap notebook headings

parent 27d0f7e8
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%% Cell type:markdown id: tags:

# X-Lap in Action

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``` python
%matplotlib inline
```

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## Data Retrieval

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``` python
from xlap.parse import evaluate, parse_config
config = parse_config()
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]
```

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## Traces
## Individual Packet Traces

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``` python
from xlap.analyse.trace import traces
traces(df_1GHz, config, global_xaxis=True)
```

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## Jitter Analysis
## Trace Jitter Analysis

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``` python
from xlap.analyse.jitter import multi_trace_jitter
multi_trace_jitter(dfs, config)
```

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## CDFs
## Latency Distributions

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``` python
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)
```

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## Correlation
## Correlation with E2E Latency

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``` python
from xlap.analyse.correlation import multi_correlation
multi_correlation(dfs, config, colors=colors, figsize=(3.0,2.0), cols=4)
```

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## Latency Criticality

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``` python
from xlap.analyse.latency import analyse
d = analyse(df_1GHz, config)
```

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### Correlations

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``` python
d.corr.sort_values(ascending=False)
```

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### Control Flow Graph

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``` python
d.cfg
```

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# Kolmogorov
## Timing Behaviour

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``` python
from xlap.analyse.timing import timing_behaviour
timing_behaviour(df_1GHz, df_2GHz, config)
```

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``` python
timing_behaviour(df_1GHz, df_3GHz, config)
```

%% Cell type:code id: tags:

``` python
timing_behaviour(df_2GHz, df_3GHz, config)
```