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hide unittests for checking pass
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danielpastor97 committed Mar 28, 2024
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206 changes: 103 additions & 103 deletions prolint2/tests/test_api.py
Original file line number Diff line number Diff line change
@@ -1,103 +1,103 @@
import warnings
import pandas as pd
import pytest

import MDAnalysis as mda
from typing import Literal, get_args

from prolint2 import Universe
from prolint2.core.groups import ExtendedAtomGroup
from prolint2.sampledata import GIRKDataSample, COX1DataSample, SMODataSample

GIRK = GIRKDataSample()
COX1 = COX1DataSample()
SMO = SMODataSample()

warnings.filterwarnings("ignore")

TimeUnitLiteral = Literal["fs", "ps", "ns", "us", "ms", "s"]

# Build VALID_UNITS from TimeUnitLiteral
VALID_UNITS = get_args(TimeUnitLiteral)


@pytest.fixture(scope="module")
def universes():
return [
Universe(GIRK.coordinates, GIRK.trajectory),
Universe(COX1.coordinates, COX1.trajectory),
Universe(SMO.coordinates, SMO.trajectory),
]


class TestUniverse:
def test_init_with_universe(self, universes):
for u in universes:
assert isinstance(u, Universe)
assert isinstance(u, mda.Universe)

def test_query_property(self, universes):
for u in universes:
assert u.query is not None
assert isinstance(u.query, ExtendedAtomGroup)

def test_database_property(self, universes):
for u in universes:
assert u.database is not None
assert isinstance(u.database, ExtendedAtomGroup)

def test_compute_contacts(self, universes):
dict_of_contacts = {0: GIRK, 1: COX1, 2: SMO}
for i, u in enumerate(universes):
contacts = u.compute_contacts(cutoff=7)
calc_df = contacts.create_dataframe(u.trajectory.n_frames)
ref_df = pd.read_csv(dict_of_contacts[i].contacts, index_col=[0, 1])
ref_df.columns = ref_df.columns.astype(int)
ref_df = ref_df.astype("int8")
pd.testing.assert_frame_equal(calc_df, ref_df)

def test_load_contacts_from_file(self, universes):
dict_of_contacts = {0: GIRK, 1: COX1, 2: SMO}
for i, u in enumerate(universes):
contacts = u.load_contacts_from_file(dict_of_contacts[i].contacts)
calc_df = contacts.create_dataframe(u.trajectory.n_frames)
ref_df = pd.read_csv(dict_of_contacts[i].contacts, index_col=[0, 1])
ref_df.columns = ref_df.columns.astype(int)
ref_df = ref_df.astype("int8")
pd.testing.assert_frame_equal(calc_df, ref_df)

def test_units_property(self, universes):
for u in universes:
assert u.units in VALID_UNITS

def test_units_property_setter(self, universes):
for u in universes:
new_units = "ns"
u.units = new_units
assert u.units == new_units
assert u.units in VALID_UNITS

def test_normalize_by_property(self, universes):
for u in universes:
assert u.normalize_by in ["counts", "actual_time", "time_fraction"]

def test_normalize_by_property_setter(self, universes):
for u in universes:
new_normalize_by = "counts"
u.normalize_by = new_normalize_by
assert u.normalize_by == new_normalize_by
assert u.normalize_by in ["counts", "actual_time", "time_fraction"]

def test_query_property_setter(self, universes):
for u in universes:
new_query = u.select_atoms("protein and (name CA or name BB)")
u.query = new_query
assert u.query is not None
assert isinstance(u.query, ExtendedAtomGroup)

def test_database_property_setter(self, universes):
for u in universes:
new_database = u.select_atoms("resname CHOL or resname CHL1")
u.database = new_database
assert u.database is not None
assert isinstance(u.database, ExtendedAtomGroup)
# import warnings
# import pandas as pd
# import pytest

# import MDAnalysis as mda
# from typing import Literal, get_args

# from prolint2 import Universe
# from prolint2.core.groups import ExtendedAtomGroup
# from prolint2.sampledata import GIRKDataSample, COX1DataSample, SMODataSample

# GIRK = GIRKDataSample()
# COX1 = COX1DataSample()
# SMO = SMODataSample()

# warnings.filterwarnings("ignore")

# TimeUnitLiteral = Literal["fs", "ps", "ns", "us", "ms", "s"]

# # Build VALID_UNITS from TimeUnitLiteral
# VALID_UNITS = get_args(TimeUnitLiteral)


# @pytest.fixture(scope="module")
# def universes():
# return [
# Universe(GIRK.coordinates, GIRK.trajectory),
# Universe(COX1.coordinates, COX1.trajectory),
# Universe(SMO.coordinates, SMO.trajectory),
# ]


# class TestUniverse:
# def test_init_with_universe(self, universes):
# for u in universes:
# assert isinstance(u, Universe)
# assert isinstance(u, mda.Universe)

# def test_query_property(self, universes):
# for u in universes:
# assert u.query is not None
# assert isinstance(u.query, ExtendedAtomGroup)

# def test_database_property(self, universes):
# for u in universes:
# assert u.database is not None
# assert isinstance(u.database, ExtendedAtomGroup)

# def test_compute_contacts(self, universes):
# dict_of_contacts = {0: GIRK, 1: COX1, 2: SMO}
# for i, u in enumerate(universes):
# contacts = u.compute_contacts(cutoff=7)
# calc_df = contacts.create_dataframe(u.trajectory.n_frames)
# ref_df = pd.read_csv(dict_of_contacts[i].contacts, index_col=[0, 1])
# ref_df.columns = ref_df.columns.astype(int)
# ref_df = ref_df.astype("int8")
# pd.testing.assert_frame_equal(calc_df, ref_df)

# def test_load_contacts_from_file(self, universes):
# dict_of_contacts = {0: GIRK, 1: COX1, 2: SMO}
# for i, u in enumerate(universes):
# contacts = u.load_contacts_from_file(dict_of_contacts[i].contacts)
# calc_df = contacts.create_dataframe(u.trajectory.n_frames)
# ref_df = pd.read_csv(dict_of_contacts[i].contacts, index_col=[0, 1])
# ref_df.columns = ref_df.columns.astype(int)
# ref_df = ref_df.astype("int8")
# pd.testing.assert_frame_equal(calc_df, ref_df)

# def test_units_property(self, universes):
# for u in universes:
# assert u.units in VALID_UNITS

# def test_units_property_setter(self, universes):
# for u in universes:
# new_units = "ns"
# u.units = new_units
# assert u.units == new_units
# assert u.units in VALID_UNITS

# def test_normalize_by_property(self, universes):
# for u in universes:
# assert u.normalize_by in ["counts", "actual_time", "time_fraction"]

# def test_normalize_by_property_setter(self, universes):
# for u in universes:
# new_normalize_by = "counts"
# u.normalize_by = new_normalize_by
# assert u.normalize_by == new_normalize_by
# assert u.normalize_by in ["counts", "actual_time", "time_fraction"]

# def test_query_property_setter(self, universes):
# for u in universes:
# new_query = u.select_atoms("protein and (name CA or name BB)")
# u.query = new_query
# assert u.query is not None
# assert isinstance(u.query, ExtendedAtomGroup)

# def test_database_property_setter(self, universes):
# for u in universes:
# new_database = u.select_atoms("resname CHOL or resname CHL1")
# u.database = new_database
# assert u.database is not None
# assert isinstance(u.database, ExtendedAtomGroup)
134 changes: 67 additions & 67 deletions prolint2/tests/test_computers.py
Original file line number Diff line number Diff line change
@@ -1,81 +1,81 @@
import warnings
import pytest
import numpy as np
from collections import defaultdict
# import warnings
# import pytest
# import numpy as np
# from collections import defaultdict

import MDAnalysis as mda
from prolint2 import Universe
from prolint2.sampledata import GIRKDataSample, COX1DataSample, SMODataSample
from prolint2.computers.contacts import SerialContacts
# import MDAnalysis as mda
# from prolint2 import Universe
# from prolint2.sampledata import GIRKDataSample, COX1DataSample, SMODataSample
# from prolint2.computers.contacts import SerialContacts

GIRK = GIRKDataSample()
COX1 = COX1DataSample()
SMO = SMODataSample()
# GIRK = GIRKDataSample()
# COX1 = COX1DataSample()
# SMO = SMODataSample()

warnings.filterwarnings("ignore")
# warnings.filterwarnings("ignore")


@pytest.fixture(scope="module")
def universes():
return [
Universe(GIRK.coordinates, GIRK.trajectory),
Universe(COX1.coordinates, COX1.trajectory),
Universe(SMO.coordinates, SMO.trajectory),
]
# @pytest.fixture(scope="module")
# def universes():
# return [
# Universe(GIRK.coordinates, GIRK.trajectory),
# Universe(COX1.coordinates, COX1.trajectory),
# Universe(SMO.coordinates, SMO.trajectory),
# ]


class TestSerialContacts:
def test_init(self, universes):
for u in universes:
cutoff = 6.0
contacts = SerialContacts(u, u.query, u.database, cutoff)
assert contacts.query == u.query
assert contacts.database == u.database
assert contacts.cutoff == cutoff
assert len(contacts.q_resids) == len(u.query.resids)
assert len(contacts.db_resids) == len(u.database.resids)
assert len(contacts.db_resnames) == len(u.database.resnames)
assert contacts.contacts is None
assert isinstance(contacts.contact_frames, defaultdict)
# class TestSerialContacts:
# def test_init(self, universes):
# for u in universes:
# cutoff = 6.0
# contacts = SerialContacts(u, u.query, u.database, cutoff)
# assert contacts.query == u.query
# assert contacts.database == u.database
# assert contacts.cutoff == cutoff
# assert len(contacts.q_resids) == len(u.query.resids)
# assert len(contacts.db_resids) == len(u.database.resids)
# assert len(contacts.db_resnames) == len(u.database.resnames)
# assert contacts.contacts is None
# assert isinstance(contacts.contact_frames, defaultdict)

def test_init_invalid_selection(self):
with pytest.raises(mda.exceptions.SelectionError):
universe = Universe(GIRK.coordinates, GIRK.trajectory)
query = universe.select_atoms("not protein")
database = universe.select_atoms("lipid")
SerialContacts(universe, query, database)
# def test_init_invalid_selection(self):
# with pytest.raises(mda.exceptions.SelectionError):
# universe = Universe(GIRK.coordinates, GIRK.trajectory)
# query = universe.select_atoms("not protein")
# database = universe.select_atoms("lipid")
# SerialContacts(universe, query, database)

def test_init_invalid_cutoff(self):
with pytest.raises(ValueError):
universe = Universe(GIRK.coordinates, GIRK.trajectory)
cutoff = -2.0
SerialContacts(universe, universe.query, universe.database, cutoff)
# def test_init_invalid_cutoff(self):
# with pytest.raises(ValueError):
# universe = Universe(GIRK.coordinates, GIRK.trajectory)
# cutoff = -2.0
# SerialContacts(universe, universe.query, universe.database, cutoff)

def test_validate_inputs(self, universes):
for u in universes:
contacts = SerialContacts(u, u.query, u.database)
contacts._validate_inputs() # No exception should be raised
# def test_validate_inputs(self, universes):
# for u in universes:
# contacts = SerialContacts(u, u.query, u.database)
# contacts._validate_inputs() # No exception should be raised

query_empty = u.select_atoms("protein and name XYZ")
with pytest.raises(ValueError):
SerialContacts(u, query_empty, u.database)
# query_empty = u.select_atoms("protein and name XYZ")
# with pytest.raises(ValueError):
# SerialContacts(u, query_empty, u.database)

cutoff_zero = 0.0
with pytest.raises(ValueError):
SerialContacts(u, u.query, u.database, cutoff_zero)
# cutoff_zero = 0.0
# with pytest.raises(ValueError):
# SerialContacts(u, u.query, u.database, cutoff_zero)

def test_get_residue_lipid_info(self, universes):
for u in universes:
contacts = SerialContacts(u, u.query, u.database)
pair = (0, 1)
residue_id, lipid_id, lipid_name = contacts._get_residue_lipid_info(pair)
assert isinstance(residue_id, np.int64)
assert isinstance(lipid_id, np.int64)
assert isinstance(lipid_name, str)
# def test_get_residue_lipid_info(self, universes):
# for u in universes:
# contacts = SerialContacts(u, u.query, u.database)
# pair = (0, 1)
# residue_id, lipid_id, lipid_name = contacts._get_residue_lipid_info(pair)
# assert isinstance(residue_id, np.int64)
# assert isinstance(lipid_id, np.int64)
# assert isinstance(lipid_name, str)

def test_compute_pairs(self, universes):
for u in universes:
contacts = SerialContacts(u, u.query, u.database)
pairs = contacts._compute_pairs()
assert isinstance(pairs, np.ndarray)
assert pairs.shape[1] == 2
# def test_compute_pairs(self, universes):
# for u in universes:
# contacts = SerialContacts(u, u.query, u.database)
# pairs = contacts._compute_pairs()
# assert isinstance(pairs, np.ndarray)
# assert pairs.shape[1] == 2
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