Beispiel #1
0
def main():
    db = _db.Database(fs.path("joblist.db"))
    data = [row for row in
            db.execute("SELECT device,Count(*) AS count\n"
                       "FROM jobs\n"
                       "GROUP BY device\n"
                       "ORDER BY count")]
    io.info("Job list:")
    print(fmt.table(data, columns=("Device", "Jobs")))
    print()

    jobs = [row for row in db.execute("SELECT * FROM jobs")]

    fs.mkdir("jobs")
    logs = {
        "monza": open("jobs/monza.txt", "w"),
        "whz5": open("jobs/whz5.txt", "w"),
        "monza": open("jobs/monza.txt", "w"),
        "cec": open("jobs/cec.txt", "w"),
        "florence": open("jobs/florence.txt", "w"),
    }

    for job in jobs:
        enum_job(logs, db, *job)

    lab.exit()
Beispiel #2
0
def parse_wc(input, output=stdout, match_pattern=None):
    match_re = compile(match_pattern) if match_pattern else None

    files = []

    # State.
    infile = False
    file = None

    # Iterate over lines in the input.
    for line in input.readlines():
        if infile:
            match = search(_WORDS_IN_TEXT_RE, line)
            if match:
                files.append((file, int(match.group(1))))
                infile = False
        else:
            match = search(_FILE_RE, line)
            if match:
                file = sub(".tex$", "", match.group(1))
                if match_re:
                    if search(match_re, file):
                        infile = True
                else:
                    infile = True

    total = sum([x[1] for x in files])
    files.append(("Total", total))

    # Print word counts.
    print(fmt.table(files, justify="left"))
def main():
    db = _db.Database(fs.path("joblist.db"))
    data = [
        row for row in db.execute("SELECT device,Count(*) AS count\n"
                                  "FROM jobs\n"
                                  "GROUP BY device\n"
                                  "ORDER BY count")
    ]
    io.info("Job list:")
    print(fmt.table(data, columns=("Device", "Jobs")))
    print()

    jobs = [row for row in db.execute("SELECT * FROM jobs")]

    fs.mkdir("jobs")
    logs = {
        "monza": open("jobs/monza.txt", "w"),
        "whz5": open("jobs/whz5.txt", "w"),
        "monza": open("jobs/monza.txt", "w"),
        "cec": open("jobs/cec.txt", "w"),
        "florence": open("jobs/florence.txt", "w"),
    }

    for job in jobs:
        enum_job(logs, db, *job)

    lab.exit()
Beispiel #4
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def test_table_bad_rows():
    with pytest.raises(fmt.Error):
        fmt.table((("foo", 1), ("bar", 2), ("car", )))
Beispiel #5
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def test_table_bad_columns():
    with pytest.raises(fmt.Error):
        fmt.table((("foo", 1), ("bar", 2)),
                  columns=("type", "value", "too", "many", "values"))
Beispiel #6
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def test_table_columns():
    assert ((["type", "value", "foo", "1", "bar", "2"]) == fmt.table(
        (("foo", 1), ("bar", 2)), columns=("type", "value")).split())
Beispiel #7
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def test_table():
    assert (["foo", "1", "bar", "2"] == fmt.table(
        (("foo", 1), ("bar", 2))).split())
Beispiel #8
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 def test_table_bad_rows(self):
     with self.assertRaises(fmt.Error):
         fmt.table((("foo", 1), ("bar", 2), ("car",)))
Beispiel #9
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 def test_table_bad_columns(self):
     with self.assertRaises(fmt.Error):
         fmt.table((("foo", 1), ("bar", 2)),
                   columns=("type", "value", "too", "many", "values"))
Beispiel #10
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 def test_table_columns(self):
     self._test((["type", "value", "foo", "1", "bar", "2"]),
                fmt.table((("foo", 1), ("bar", 2)),
                          columns=("type", "value")).split())
Beispiel #11
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 def test_table(self):
     self._test(["foo","1", "bar", "2"],
                fmt.table((("foo", 1), ("bar", 2))).split())