1 files changed, 0 insertions, 94 deletions
diff --git a/test/monniaux/gengraphs.py b/test/monniaux/gengraphs.py
deleted file mode 100755
index 3ffe6f3d..00000000
--- a/test/monniaux/gengraphs.py
+++ /dev/null
@@ -1,94 +0,0 @@
-#!/usr/bin/python3.6
-
-import numpy as np              # type: ignore
-import matplotlib.pyplot as plt # type: ignore
-import pandas as pd             # type: ignore
-import sys
-from typing import *
-
-##
-# Reading data
-##
-
-if len(sys.argv) != 2:
-  raise Exception("Only 1 argument should be given to this script: the make.proto file")
-csv_file = sys.argv[1]
-
-with open(csv_file, "r") as f:
-  df = pd.read_csv(csv_file)
-
-benches = df["benches"]
-
-host_measures_cols = [col for col in df if "host" in col]
-k1c_measures_cols = [col for col in df if "k1c" in col]
-
-colors = ["forestgreen", "darkorange", "cornflowerblue", "darkorchid", "darksalmon", "dodgerblue", "navy", "gray", "springgreen", "crimson"]
-
-##
-# Generating PDF
-##
-
-def extract_compiler(env: str) -> str:
-  words = env.split()[:-1]
-  return " ".join(words)
-
-def extract_compilers(envs: List[str]) -> List[str]:
-  compilers: List[str] = []
-  for env in envs:
-    compiler = extract_compiler(env)
-    if compiler not in compilers:
-      compilers.append(compiler)
-  return compilers
-
-def subdivide_interv(inf: Any, sup: float, n: int) -> List[float]:
-  return [inf + k*(sup-inf)/n for k in range(n)]
-
-
-# df associates the environment string (e.g. "gcc host") to the cycles
-# envs is the list of environments to compare
-# The returned value will be a dictionnary associating the compiler (e.g. "gcc") to his relative comparison on the best result
-def make_relative_heights(data: Any, envs: List[str]) -> Dict[str, List[float]]:
-  n_benches: int = len((data.values)) # type: ignore
-  cols: Dict[str, List[int]] = {extract_compiler(env):data[env] for env in envs}
-
-  ret: Dict[str, List[float]] = {}
-  for compiler in cols:
-    ret[compiler] = []
-
-  for i in range(n_benches):
-    max_time: int = max([cols[compiler][i] for compiler in cols])
-    for compiler in cols:
-      ret[compiler].append(cols[compiler][i] / float(max_time))
-
-  return ret
-
-
-def generate_file(f: str, cols: List[str]) -> None:
-  ind = np.arange(len(df[cols[0]]))
-
-  width = 0.25  # the width of the bars
-
-  compilers = extract_compilers(cols)
-  start_inds = subdivide_interv(ind, ind+2*width, len(compilers))
-  heights: Dict[str, List[float]] = make_relative_heights(df, cols)
-
-  fig, ax = plt.subplots()
-  rects = []
-  for i, compiler in enumerate(compilers):
-    rects.append(ax.bar(start_inds[i], heights[compiler], width, color=colors[i], label=compiler))
-
-  # Add some text for labels, title and custom x-axis tick labels, etc.
-  ax.set_ylabel('Cycles (%)')
-  ax.set_yticklabels(['{:,.0%}'.format(x) for x in ax.get_yticks()])
-  ax.set_title('TITLE')
-  ax.set_xticks(ind)
-  ax.set_xticklabels(benches)
-  ax.legend()
-
-  plt.setp(ax.get_xticklabels(), rotation=30, horizontalalignment='right')
-  plt.xticks(size=5)
-
-  plt.savefig(f)
-
-generate_file("measures-host.pdf", host_measures_cols)
-generate_file("measures-k1c.pdf", k1c_measures_cols)