def chip_10_plus_one(names):
df = pd.read_table("tests/chip_10_plus_one.bed", header=None, names=names)
gr = PyRanges(df)
assert gr.stranded
gr.df = gr.df.reindex(np.random.permutation(gr.df.index))
return gr
def dfs_min(draw):
df = draw(better_dfs_min)
df.loc[:, "End"] += df.Start
df.insert(3, "Name", "a")
df.insert(4, "Score", 0)
gr = PyRanges(df)
np.random.seed(draw(st.integers(min_value=0, max_value=int(1e6))))
# this is the same as allowing users to arbitrarily sort
# their underlying dataframes in whichever way they choose
# an the PyRanges functionality still works! Wowaweeva
gr.df = df.reindex(np.random.permutation(df.index.values))
return gr