idx int64 2 7.85k | idx_lca int64 0 223 | offset int64 165 54.4k | repo stringclasses 54
values | commit_hash stringclasses 100
values | target_file stringclasses 118
values | line_type_lca stringclasses 6
values | ground_truth stringlengths 1 40 | in_completions bool 1
class | completion_type stringclasses 6
values | non_dunder_count_intellij int64 1 127 | non_dunder_count_jedi int64 1 128 | start_with_ bool 1
class | first_occurrence bool 2
classes | intellij_completions listlengths 1 149 | jedi_completions listlengths 3 148 | prefix stringlengths 165 54.4k | intellij_completions_filtered listlengths 1 123 | prefix_truncated stringlengths 165 1.92k | __index_level_0__ int64 1 5.53k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7,660 | 216 | 3,685 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_df | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | (
self.ref_pd_df_by_series_max_rows,
self.data.build(),
)
class TestDataFrame(DataWithAssets):
def test_add_data_frame_with_none(self) -> None:
self.data.add_data_frame(None)
self.assertEqual(
{"data": {}},
self.data.build(),
)
d... | 5,394 |
7,668 | 216 | 4,160 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 97 | 101 | false | false | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | self.data.build(),
)
def test_add_data_frame_with_df(self) -> None:
df = self.in_pd_df_by_series_with_duplicated_popularity
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_duplicated_popularity,
self.data.build(),
... | 5,402 |
7,669 | 216 | 4,165 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | self.data.build(),
)
def test_add_data_frame_with_df(self) -> None:
df = self.in_pd_df_by_series_with_duplicated_popularity
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_duplicated_popularity,
self.data.build(),
)
... | 5,403 |
7,672 | 216 | 4,355 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 97 | 101 | false | false | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | self.assertEqual(
self.ref_pd_df_by_series_with_duplicated_popularity,
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.r... | 5,406 |
7,673 | 216 | 4,360 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | self.assertEqual(
self.ref_pd_df_by_series_with_duplicated_popularity,
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd... | 5,407 |
7,674 | 216 | 4,380 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | in_pd_series_dimension | true | statement | 97 | 101 | false | false | [
"data",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"test_add_data_frame_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"test_add_data_frame_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | self.ref_pd_df_by_series_with_duplicated_popularity,
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_n... | 5,408 |
7,675 | 216 | 4,417 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 97 | 101 | false | false | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | th_duplicated_popularity,
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_nan,
self.data.build(),
... | 5,409 |
7,676 | 216 | 4,422 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | plicated_popularity,
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_nan,
self.data.build(),
... | 5,410 |
7,677 | 216 | 4,442 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | in_pd_series_measure | true | statement | 97 | 101 | false | false | [
"data",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"in_pd_series_dimension",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_p... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"in_pd_series_dimension",
"test_add_data_frame_with_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_p... |
self.data.build(),
)
def test_add_data_frame_with_df_contains_na(self) -> None:
df = self.in_pd_df_by_series_with_nan
self.data.add_data_frame(df)
self.assertEqual(
self.ref_pd_df_by_series_with_nan,
self.data.build(),
)
class TestDfWit... | 5,411 |
7,681 | 216 | 4,644 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 97 | 101 | false | false | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | assertEqual(
self.ref_pd_df_by_series_with_nan,
self.data.build(),
)
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
... | 5,415 |
7,682 | 216 | 4,649 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | tEqual(
self.ref_pd_df_by_series_with_nan,
self.data.build(),
)
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
... | 5,416 |
7,683 | 216 | 4,669 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | in_pd_series_dimension_with_nan | true | statement | 97 | 101 | false | false | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | self.ref_pd_df_by_series_with_nan,
self.data.build(),
)
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_... | 5,417 |
7,684 | 216 | 4,715 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 97 | 101 | false | false | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"test_add_data_frame_with_empty_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_ser... | self.data.build(),
)
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_df_with_series(self) -> None:
self.dat... | 5,418 |
7,685 | 216 | 4,720 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | .data.build(),
)
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_df_with_series(self) -> None:
self.data.add... | 5,419 |
7,686 | 216 | 4,740 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | in_pd_series_measure_with_nan | true | statement | 97 | 101 | false | false | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"test_add_data_frame_with_series",
"ref_pd_series",
"test_add_data_frame_with_empty_series",
"in_pd_df_by_series",
"test_add_data_frame_with_series_contains_na",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
... | )
class TestDfWithSeries(DataWithAssets):
def test_add_df_with_empty_series(self) -> None:
self.data.add_df(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_df_with_series(self) -> None:
self.data.add_df(self.in_pd_serie... | 5,420 |
7,690 | 216 | 4,980 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 96 | 100 | false | false | [
"data",
"assertEqual",
"test_add_df_index_with_df",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_df_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"assertEqual",
"test_add_df_index_with_df",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_df_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with... | test_add_df_with_series(self) -> None:
self.data.add_df(self.in_pd_series_dimension)
self.data.add_df(self.in_pd_series_measure)
self.assertEqual(
self.ref_pd_series,
self.data.build(),
)
def test_add_df_with_series_contains_na(self) -> None:
self.dat... | 5,424 |
7,691 | 216 | 4,985 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_df_index | true | function | 28 | 30 | false | true | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | add_df_with_series(self) -> None:
self.data.add_df(self.in_pd_series_dimension)
self.data.add_df(self.in_pd_series_measure)
self.assertEqual(
self.ref_pd_series,
self.data.build(),
)
def test_add_df_with_series_contains_na(self) -> None:
self.data.add... | 5,425 |
7,695 | 216 | 5,229 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 96 | 100 | false | false | [
"data",
"assertEqual",
"test_add_df_index_with_none",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_df_index_with_df",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"assertEqual",
"test_add_df_index_with_none",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_df_index_with_df",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with... | def test_add_df_with_series_contains_na(self) -> None:
self.data.add_df(self.in_pd_series_dimension_with_nan)
self.data.add_df(self.in_pd_series_measure_with_nan)
self.assertEqual(
self.ref_pd_series_with_nan,
self.data.build(),
)
def test_add_df_with_series_... | 5,429 |
7,696 | 216 | 5,234 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_df_index | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | est_add_df_with_series_contains_na(self) -> None:
self.data.add_df(self.in_pd_series_dimension_with_nan)
self.data.add_df(self.in_pd_series_measure_with_nan)
self.assertEqual(
self.ref_pd_series_with_nan,
self.data.build(),
)
def test_add_df_with_series_and_w... | 5,430 |
7,697 | 216 | 5,315 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | random | ref_pd_df_by_series_only_index | true | statement | 96 | 100 | false | true | [
"data",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"in_pd_df_by_series_with_index",
"ref_pd_series_only_index",
"test_add_df_index_with_df",
"test_add_df_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_b... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"in_pd_df_by_series_with_index",
"ref_pd_series_only_index",
"test_add_df_index_with_df",
"test_add_df_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_b... | n_pd_series_dimension_with_nan)
self.data.add_df(self.in_pd_series_measure_with_nan)
self.assertEqual(
self.ref_pd_series_with_nan,
self.data.build(),
)
def test_add_df_with_series_and_with_include_index(self) -> None:
self.data.add_df(
self.in_pd... | 5,431 |
7,700 | 216 | 5,504 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 96 | 100 | false | false | [
"data",
"assertEqual",
"test_add_data_frame_index_with_df",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_data_frame_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_d... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"assertEqual",
"test_add_data_frame_index_with_df",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_data_frame_index_with_none",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_d... | ,
)
def test_add_df_with_series_and_with_include_index(self) -> None:
self.data.add_df(
self.in_pd_series_dimension_with_index,
include_index="DimensionIndex",
)
self.data.add_df(
self.in_pd_series_measure_with_index,
include_index="Me... | 5,434 |
7,701 | 216 | 5,509 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame_index | true | function | 28 | 30 | false | true | [
"add_data_frame",
"add_df",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_data_frame",
"add_df",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | )
def test_add_df_with_series_and_with_include_index(self) -> None:
self.data.add_df(
self.in_pd_series_dimension_with_index,
include_index="DimensionIndex",
)
self.data.add_df(
self.in_pd_series_measure_with_index,
include_index="Measure... | 5,435 |
7,705 | 216 | 5,762 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 96 | 100 | false | false | [
"data",
"assertEqual",
"test_add_data_frame_index_with_none",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_data_frame_index_with_df",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_d... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"assertEqual",
"test_add_data_frame_index_with_none",
"in_pd_series_measure_with_index",
"in_pd_series_dimension_with_index",
"test_add_data_frame_index_with_df",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_d... | in_pd_series_measure_with_index,
include_index="MeasureIndex",
)
self.assertEqual(
self.ref_pd_series_with_index,
self.data.build(),
)
class TestDataFrameWithSeries(DataWithAssets):
def test_add_data_frame_with_empty_series(self) -> None:
self.da... | 5,439 |
7,706 | 216 | 5,767 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_data_frame_index | true | function | 28 | 30 | false | false | [
"add_data_frame",
"add_df",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_data_frame",
"add_df",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | _series_measure_with_index,
include_index="MeasureIndex",
)
self.assertEqual(
self.ref_pd_series_with_index,
self.data.build(),
)
class TestDataFrameWithSeries(DataWithAssets):
def test_add_data_frame_with_empty_series(self) -> None:
self.data.ad... | 5,440 |
7,710 | 216 | 6,035 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 95 | 99 | false | false | [
"data",
"in_pd_df_by_series",
"ref_pd_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"in_pd_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"in_pd_df_by_series",
"ref_pd_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"in_pd_ser... | ith_empty_series(self) -> None:
self.data.add_data_frame(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_data_frame_with_series(self) -> None:
self.data.add_data_frame(self.in_pd_series_dimension)
self.data.add_data_fram... | 5,444 |
7,711 | 216 | 6,040 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | add_df_index | true | function | 28 | 30 | false | false | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | [
{
"name": "add_data_frame",
"type": "function"
},
{
"name": "add_data_frame_index",
"type": "function"
},
{
"name": "add_df",
"type": "function"
},
{
"name": "add_df_index",
"type": "function"
},
{
"name": "add_dimension",
"type": "function"
},
{
"name... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"add_df",
"add_data_frame",
"build",
"add_data_frame_index",
"add_df_index",
"add_dimension",
"add_measure",
"add_np_array",
"add_record",
"add_records",
"add_series",
"add_series_list",
"add_spark_df",
"dump",
"filter",
"from_json",
"set_filter",
"clear",
"copy",
"fromkeys",
... | mpty_series(self) -> None:
self.data.add_data_frame(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_data_frame_with_series(self) -> None:
self.data.add_data_frame(self.in_pd_series_dimension)
self.data.add_data_frame(sel... | 5,445 |
7,712 | 216 | 6,071 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | random | in_pd_series_dimension_with_index | true | statement | 95 | 99 | false | false | [
"data",
"ref_pd_series",
"in_pd_series_dimension",
"ref_pd_series_with_nan",
"ref_pd_df_by_series_with_duplicated_popularity",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"in_pd_series_dimension",
"ref_pd_series_with_nan",
"ref_pd_df_by_series_with_duplicated_popularity",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series... | self.data.add_data_frame(pd.Series())
self.assertEqual(
{"data": {}},
self.data.build(),
)
def test_add_data_frame_with_series(self) -> None:
self.data.add_data_frame(self.in_pd_series_dimension)
self.data.add_data_frame(self.in_pd_series_measure)
... | 5,446 |
7,717 | 216 | 6,376 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 95 | 99 | false | false | [
"data",
"in_pd_df_by_series",
"ref_pd_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"in_pd_ser... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"in_pd_df_by_series",
"ref_pd_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_df_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"in_pd_ser... | easure)
self.assertEqual(
self.ref_pd_series,
self.data.build(),
)
def test_add_data_frame_with_series_contains_na(self) -> None:
self.data.add_data_frame(self.in_pd_series_dimension_with_nan)
self.data.add_data_frame(self.in_pd_series_measure_with_nan)
... | 5,451 |
7,719 | 216 | 6,528 | vizzuhq__ipyvizzu | 54b0334aa736a77f9430739c9375b16be145b3fd | tests/test_data/test_pandas.py | inproject | data | true | statement | 95 | 99 | false | false | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_data_frame_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"i... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | # pylint: disable=missing-module-docstring,missing-class-docstring,missing-function-docstring
import pandas as pd
from tests.test_data import DataWithAssets
from tests.utils.import_error import RaiseImportError
class TestDf(DataWithAssets):
def test_add_df_if_pandas_not_installed(self) -> None:
with Rai... | [
"data",
"ref_pd_series",
"in_pd_df_by_series",
"assertEqual",
"in_pd_series_dimension",
"test_add_data_frame_index_with_series",
"asset_dir",
"in_pd_df_by_series_with_duplicated_popularity",
"in_pd_df_by_series_with_index",
"in_pd_df_by_series_with_nan",
"in_pd_series_dimension_with_index",
"i... | ains_na(self) -> None:
self.data.add_data_frame(self.in_pd_series_dimension_with_nan)
self.data.add_data_frame(self.in_pd_series_measure_with_nan)
self.assertEqual(
self.ref_pd_series_with_nan,
self.data.build(),
)
class TestDfIndex(DataWithAssets):
def test... | 5,452 |
7,733 | 219 | 13,763 | mage-ai__mage-ai | 9ed779ccaf3538efbe1f2f54dd68f61fb1c3af55 | src/data_cleaner/tests/transformer_actions/test_row.py | common | execute | true | function | 9 | 9 | false | true | [
"action",
"action_type",
"hydrate_action",
"axis",
"join",
"columns_by_type",
"execute",
"groupby",
"transform",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__n... | [
{
"name": "action",
"type": "statement"
},
{
"name": "action_type",
"type": "property"
},
{
"name": "axis",
"type": "property"
},
{
"name": "columns_by_type",
"type": "statement"
},
{
"name": "execute",
"type": "function"
},
{
"name": "groupby",
"t... | from data_cleaner.tests.base_test import TestCase
from data_cleaner.transformer_actions.base import BaseAction
from data_cleaner.transformer_actions.row import (
drop_duplicates,
# explode,
filter_rows,
sort_rows,
)
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as p... | [
"action",
"action_type",
"hydrate_action",
"axis",
"join",
"columns_by_type",
"execute",
"groupby",
"transform"
] | inal_df=df).reset_index(drop=True)
df_new5 = filter_rows(df, action5, original_df=df).reset_index(drop=True)
df_new['value'] = df_new['value'].astype(int)
df_new['inventory'] = df_new['inventory'].astype(int)
df_new2['brand'] = df_new2['brand'].astype(str)
df_new2['inventory'] = ... | 5,463 |
7,735 | 220 | 351 | mage-ai__mage-ai | 5d823db31cab8cb2e89873aec656b5a522769873 | mage_ai/tests/data_cleaner/cleaning_rules/test_remove_collinear_columns.py | commited | setUp | true | function | 75 | 74 | false | true | [
"setUp",
"assertEqual",
"assertAlmostEqual",
"fail",
"failIf",
"tearDown",
"addClassCleanup",
"addCleanup",
"addTypeEqualityFunc",
"assert_",
"assertAlmostEquals",
"assertCountEqual",
"assertDictContainsSubset",
"assertDictEqual",
"assertEquals",
"assertFalse",
"assertGreater",
"as... | [
{
"name": "addClassCleanup",
"type": "function"
},
{
"name": "addCleanup",
"type": "function"
},
{
"name": "addTypeEqualityFunc",
"type": "function"
},
{
"name": "assert_",
"type": "function"
},
{
"name": "assertAlmostEqual",
"type": "function"
},
{
"n... | from data_cleaner.cleaning_rules.remove_collinear_columns import RemoveCollinearColumns
from tests.base_test import TestCase
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as pd
class RemoveCollinearColumnsTests(TestCase):
def setUp(self):
self.rng = np.random.default_... | [
"setUp",
"assertEqual",
"assertAlmostEqual",
"fail",
"failIf",
"tearDown",
"addClassCleanup",
"addCleanup",
"addTypeEqualityFunc",
"assert_",
"assertAlmostEquals",
"assertCountEqual",
"assertDictContainsSubset",
"assertDictEqual",
"assertEquals",
"assertFalse",
"assertGreater",
"as... | from data_cleaner.cleaning_rules.remove_collinear_columns import RemoveCollinearColumns
from tests.base_test import TestCase
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as pd
class RemoveCollinearColumnsTests(TestCase):
def setUp(self):
self.rng = np.random.default_... | 5,464 |
7,738 | 220 | 2,473 | mage-ai__mage-ai | 5d823db31cab8cb2e89873aec656b5a522769873 | mage_ai/tests/data_cleaner/cleaning_rules/test_remove_collinear_columns.py | inproject | evaluate | true | function | 14 | 15 | false | false | [
"numeric_columns",
"evaluate",
"df_columns",
"column_types",
"numeric_df",
"df",
"EPSILON",
"filter_numeric_types",
"get_variance_inflation_factor",
"MIN_ENTRIES",
"numeric_indices",
"ROW_SAMPLE_SIZE",
"statistics",
"VIF_UB",
"__init__",
"__annotations__",
"__class__",
"__delattr__... | [
{
"name": "column_types",
"type": "statement"
},
{
"name": "df",
"type": "statement"
},
{
"name": "df_columns",
"type": "statement"
},
{
"name": "EPSILON",
"type": "statement"
},
{
"name": "evaluate",
"type": "function"
},
{
"name": "filter_numeric_typ... | from data_cleaner.cleaning_rules.remove_collinear_columns import RemoveCollinearColumns
from tests.base_test import TestCase
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as pd
class RemoveCollinearColumnsTests(TestCase):
def setUp(self):
self.rng = np.random.default_... | [
"numeric_columns",
"evaluate",
"df_columns",
"column_types",
"numeric_df",
"df",
"EPSILON",
"filter_numeric_types",
"get_variance_inflation_factor",
"MIN_ENTRIES",
"numeric_indices",
"ROW_SAMPLE_SIZE",
"statistics",
"VIF_UB"
] | [1, 1100, '2021-10-01', '2021-01-01'],
[2, 1150, '2021-09-01', '2021-08-01'],
], columns=[
'group_id',
'order_id',
'group_churned_at',
'order_created_at',
])
column_types = {
'group_id': 'cate... | 5,467 |
7,743 | 220 | 9,766 | mage-ai__mage-ai | 5d823db31cab8cb2e89873aec656b5a522769873 | mage_ai/tests/data_cleaner/cleaning_rules/test_remove_collinear_columns.py | inproject | evaluate | true | function | 14 | 15 | false | false | [
"evaluate",
"numeric_df",
"numeric_columns",
"get_variance_inflation_factor",
"df",
"column_types",
"df_columns",
"EPSILON",
"filter_numeric_types",
"MIN_ENTRIES",
"numeric_indices",
"ROW_SAMPLE_SIZE",
"statistics",
"VIF_UB",
"__init__",
"__annotations__",
"__class__",
"__delattr__... | [
{
"name": "column_types",
"type": "statement"
},
{
"name": "df",
"type": "statement"
},
{
"name": "df_columns",
"type": "statement"
},
{
"name": "EPSILON",
"type": "statement"
},
{
"name": "evaluate",
"type": "function"
},
{
"name": "filter_numeric_typ... | from data_cleaner.cleaning_rules.remove_collinear_columns import RemoveCollinearColumns
from tests.base_test import TestCase
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as pd
class RemoveCollinearColumnsTests(TestCase):
def setUp(self):
self.rng = np.random.default_... | [
"evaluate",
"numeric_df",
"numeric_columns",
"get_variance_inflation_factor",
"df",
"column_types",
"df_columns",
"EPSILON",
"filter_numeric_types",
"MIN_ENTRIES",
"numeric_indices",
"ROW_SAMPLE_SIZE",
"statistics",
"VIF_UB"
] | , 10, 100, 30],
[500, 10000, 20, 3000, 20],
[200, np.nan, 50, None, 75],
[250, 7500, 25, 8000, 20],
[1000, 45003, 20, 90, 40],
[1500, 75000, 30, 70, 25],
[1500, 75000, np.nan, 70, 25],
[None, 75000, 30, 70, np.nan],
[1250... | 5,472 |
7,752 | 220 | 17,318 | mage-ai__mage-ai | 5d823db31cab8cb2e89873aec656b5a522769873 | mage_ai/tests/data_cleaner/cleaning_rules/test_remove_collinear_columns.py | inproject | numeric_df | true | statement | 14 | 15 | false | false | [
"column_types",
"numeric_columns",
"df",
"VIF_UB",
"statistics",
"df_columns",
"EPSILON",
"evaluate",
"filter_numeric_types",
"get_variance_inflation_factor",
"MIN_ENTRIES",
"numeric_df",
"numeric_indices",
"ROW_SAMPLE_SIZE",
"__init__",
"__annotations__",
"__class__",
"__delattr__... | [
{
"name": "column_types",
"type": "statement"
},
{
"name": "df",
"type": "statement"
},
{
"name": "df_columns",
"type": "statement"
},
{
"name": "EPSILON",
"type": "statement"
},
{
"name": "evaluate",
"type": "function"
},
{
"name": "filter_numeric_typ... | from data_cleaner.cleaning_rules.remove_collinear_columns import RemoveCollinearColumns
from tests.base_test import TestCase
from pandas.util.testing import assert_frame_equal
import numpy as np
import pandas as pd
class RemoveCollinearColumnsTests(TestCase):
def setUp(self):
self.rng = np.random.default_... | [
"column_types",
"numeric_columns",
"df",
"VIF_UB",
"statistics",
"df_columns",
"EPSILON",
"evaluate",
"filter_numeric_types",
"get_variance_inflation_factor",
"MIN_ENTRIES",
"numeric_df",
"numeric_indices",
"ROW_SAMPLE_SIZE"
] | ',
outputs = [],
)
)
]
self.assertEqual(result, expected_results)
def test_vif_calcuation(self):
df = pd.DataFrame([
[1000, 30000, 10, 100, 30],
[500, 10000, 20, 3000, 20],
[250, 7500, 25, 8000, 20],
... | 5,481 |
7,753 | 221 | 817 | mage-ai__mage-ai | 5d174cafe82dab0bc46d82b5ac6dff808a60f5ac | mage_ai/server/routes.py | infile | data | true | statement | 17 | 18 | false | true | [
"metadata",
"data",
"to_dict",
"write_files",
"id",
"dir",
"folder_name",
"insights",
"objects",
"path",
"path_name",
"pipeline",
"read_json_file",
"sample_data",
"statistics",
"suggestions",
"write_json_file",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__d... | [
{
"name": "data",
"type": "statement"
},
{
"name": "dir",
"type": "statement"
},
{
"name": "folder_name",
"type": "function"
},
{
"name": "id",
"type": "statement"
},
{
"name": "insights",
"type": "statement"
},
{
"name": "metadata",
"type": "state... | from data_cleaner.data_cleaner import analyze, clean as clean_data
from data_cleaner.pipelines.base import BasePipeline
from flask import render_template, request
from numpyencoder import NumpyEncoder
from server.data.models import FeatureSet, Pipeline
from server import app
import json
import threading
@app.route("/... | [
"metadata",
"data",
"to_dict",
"write_files",
"id",
"dir",
"folder_name",
"insights",
"objects",
"path",
"path_name",
"pipeline",
"read_json_file",
"sample_data",
"statistics",
"suggestions",
"write_json_file"
] | from data_cleaner.data_cleaner import analyze, clean as clean_data
from data_cleaner.pipelines.base import BasePipeline
from flask import render_template, request
from numpyencoder import NumpyEncoder
from server.data.models import FeatureSet, Pipeline
from server import app
import json
import threading
@app.route("/... | 5,482 |
7,758 | 221 | 1,505 | mage-ai__mage-ai | 5d174cafe82dab0bc46d82b5ac6dff808a60f5ac | mage_ai/server/routes.py | infile | objects | true | function | 15 | 15 | false | true | [
"to_dict",
"data",
"metadata",
"write_files",
"pipeline",
"folder_name",
"insights",
"objects",
"path_name",
"read_json_file",
"sample_data",
"statistics",
"suggestions",
"write_json_file",
"mro",
"__init__",
"__annotations__",
"__base__",
"__bases__",
"__basicsize__",
"__cal... | [
{
"name": "data",
"type": "property"
},
{
"name": "folder_name",
"type": "function"
},
{
"name": "insights",
"type": "property"
},
{
"name": "metadata",
"type": "property"
},
{
"name": "mro",
"type": "function"
},
{
"name": "objects",
"type": "func... | from data_cleaner.data_cleaner import analyze, clean as clean_data
from data_cleaner.pipelines.base import BasePipeline
from flask import render_template, request
from numpyencoder import NumpyEncoder
from server.data.models import FeatureSet, Pipeline
from server import app
import json
import threading
@app.route("/... | [
"to_dict",
"data",
"metadata",
"write_files",
"pipeline",
"folder_name",
"insights",
"objects",
"path_name",
"read_json_file",
"sample_data",
"statistics",
"suggestions",
"write_json_file",
"mro"
] | from data_cleaner.data_cleaner import analyze, clean as clean_data
from data_cleaner.pipelines.base import BasePipeline
from flask import render_template, request
from numpyencoder import NumpyEncoder
from server.data.models import FeatureSet, Pipeline
from server import app
import json
import threading
@app.route("/... | 5,486 |
7,761 | 222 | 4,543 | qiboteam__qibolab | 097a3fc1a66f8aff1fce4978054707b1d7b2c596 | examples/qili_single_qubit/diagnostics.py | common | platform | true | statement | 6 | 6 | false | true | [
"platform",
"sequence",
"name",
"label",
"unit",
"__init__",
"get",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"__reduce_ex__",
"__repr... | [
{
"name": "get",
"type": "function"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "platform",
"type": "statement"
},
{
"name": "sequence",
"type": "statement"
},
{
"name": "unit",
"type": "statement... | import pathlib
import numpy as np
import matplotlib.pyplot as plt
import yaml
# TODO: Have a look in the documentation of ``MeasurementControl``
from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Settable
from quantify_core.data.handling import set_datadir
... | [
"platform",
"sequence",
"name",
"label",
"unit",
"get"
] | g, ax = plt.subplots(1, 1, figsize=(15, 15/2/1.61))
ax.plot(dataset['x0'].values, dataset['y0'].values,'-',color='C0')
ax.plot(dataset['x0'].values, smooth_dataset,'-',color='C1')
ax.title.set_text(label)
ax.plot(dataset['x0'].values[smooth_dataset.argmax()], smooth_dataset[smooth_datase... | 5,487 |
7,762 | 222 | 4,565 | qiboteam__qibolab | 097a3fc1a66f8aff1fce4978054707b1d7b2c596 | examples/qili_single_qubit/diagnostics.py | common | sequence | true | statement | 6 | 6 | false | true | [
"platform",
"name",
"sequence",
"label",
"unit",
"__init__",
"get",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"__reduce_ex__",
"__repr... | [
{
"name": "get",
"type": "function"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "platform",
"type": "statement"
},
{
"name": "sequence",
"type": "statement"
},
{
"name": "unit",
"type": "statement... | import pathlib
import numpy as np
import matplotlib.pyplot as plt
import yaml
# TODO: Have a look in the documentation of ``MeasurementControl``
from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Settable
from quantify_core.data.handling import set_datadir
... | [
"platform",
"name",
"sequence",
"label",
"unit",
"get"
] | , 1, figsize=(15, 15/2/1.61))
ax.plot(dataset['x0'].values, dataset['y0'].values,'-',color='C0')
ax.plot(dataset['x0'].values, smooth_dataset,'-',color='C1')
ax.title.set_text(label)
ax.plot(dataset['x0'].values[smooth_dataset.argmax()], smooth_dataset[smooth_dataset.argmax()], 'o', colo... | 5,488 |
7,807 | 223 | 1,687 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | add | true | function | 8 | 8 | false | true | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__... | [
{
"name": "add",
"type": "function"
},
{
"name": "add_measurement",
"type": "function"
},
{
"name": "add_u3",
"type": "function"
},
{
"name": "phase",
"type": "statement"
},
{
"name": "pulses",
"type": "statement"
},
{
"name": "qcm_pulses",
"type":... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time"
] | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | 5,491 |
7,811 | 223 | 3,549 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | lorentzian_fit | true | function | 12 | 17 | false | true | [
"t1_fit",
"rabi_fit",
"lorentzian_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | [
{
"name": "BaseAnalysis",
"type": "module"
},
{
"name": "curve_fit",
"type": "module"
},
{
"name": "data_post",
"type": "function"
},
{
"name": "exp",
"type": "function"
},
{
"name": "lmfit",
"type": "module"
},
{
"name": "lorentzian_fit",
"type": ... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"t1_fit",
"rabi_fit",
"lorentzian_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | hape)
sequence = PulseSequence()
sequence.add(qc_pulse)
sequence.add(ro_pulse)
ds = self.load_settings()
self.pl.tuids_max_num(ds['max_num_plots'])
software_averages = ds['software_averages']
ds = ds['resonator_spectroscopy']
lowres_width = ds['lowres_wid... | 5,495 |
7,813 | 223 | 3,931 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | random | mc | true | statement | 11 | 11 | false | false | [
"mc",
"platform",
"load_settings",
"pl",
"ins",
"__init__",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"mc",
"platform",
"load_settings",
"pl",
"ins",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | idth = ds['highres_width']
highres_step = ds['highres_step']
precision_width = ds['precision_width']
precision_step = ds['precision_step']
#Fast Sweep
scanrange = utils.variable_resolution_scanrange(lowres_width, lowres_step, highres_width, highres_step)
mc.settables(pla... | 5,497 |
7,818 | 223 | 6,259 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | lorentzian_fit | true | function | 12 | 17 | false | false | [
"t1_fit",
"rabi_fit",
"lorentzian_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | [
{
"name": "BaseAnalysis",
"type": "module"
},
{
"name": "curve_fit",
"type": "module"
},
{
"name": "data_post",
"type": "function"
},
{
"name": "exp",
"type": "function"
},
{
"name": "lmfit",
"type": "module"
},
{
"name": "lorentzian_fit",
"type": ... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"t1_fit",
"rabi_fit",
"lorentzian_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | settings, shape = ro_pulse_shape)
sequence = PulseSequence()
sequence.add(qc_pulse)
sequence.add(ro_pulse)
ds = self.load_settings()
self.pl.tuids_max_num(ds['max_num_plots'])
software_averages = ds['software_averages']
ds = ds['qubit_spectroscopy']
fast_... | 5,502 |
7,823 | 223 | 7,173 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | infile | load_settings | true | function | 11 | 11 | false | false | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"__init__",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | Spectroscopy Fast", soft_avg=1)
platform.stop()
# Precision Sweep
platform.software_averages = 1
precision_sweep_scan_range = np.arange(precision_start, precision_end, precision_step)
mc.settables(platform.LO_qcm.device.frequency)
mc.setpoints(precision_sweep_sca... | 5,507 |
7,825 | 223 | 8,038 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | rabi_fit | true | function | 12 | 17 | false | true | [
"t1_fit",
"lorentzian_fit",
"rabi",
"rabi_fit",
"ramsey_fit",
"BaseAnalysis",
"curve_fit",
"data_post",
"exp",
"ramsey",
"resonator_peak",
"set_datadir"
] | [
{
"name": "BaseAnalysis",
"type": "module"
},
{
"name": "curve_fit",
"type": "module"
},
{
"name": "data_post",
"type": "function"
},
{
"name": "exp",
"type": "function"
},
{
"name": "lmfit",
"type": "module"
},
{
"name": "lorentzian_fit",
"type": ... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"t1_fit",
"lorentzian_fit",
"rabi",
"rabi_fit",
"ramsey_fit",
"BaseAnalysis",
"curve_fit",
"data_post",
"exp",
"ramsey",
"resonator_peak",
"set_datadir"
] | th_dataset, dataset, "Qubit_Spectroscopy", 1)
print("Qubit freq ontained from MC results: ", qubit_freq)
f0, BW, Q = fitting.lorentzian_fit("last", min, "Qubit_Spectroscopy")
qubit_freq = (f0*1e9 - qc_pulse.frequency)
print("Qubit freq ontained from fitting: ", qubit_freq)
return... | 5,509 |
7,828 | 223 | 9,446 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | add | true | function | 8 | 8 | false | false | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__... | [
{
"name": "add",
"type": "function"
},
{
"name": "add_measurement",
"type": "function"
},
{
"name": "add_u3",
"type": "function"
},
{
"name": "phase",
"type": "statement"
},
{
"name": "pulses",
"type": "statement"
},
{
"name": "qcm_pulses",
"type":... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time"
] | le(QCPulseLengthParameter(ro_pulse, qc_pulse)))
mc.setpoints(np.arange(pulse_duration_start, pulse_duration_end, pulse_duration_step))
mc.gettables(Gettable(ROController(platform, sequence)))
platform.start()
dataset = mc.run('Rabi Pulse Length', soft_avg = software_averages)
pla... | 5,512 |
7,832 | 223 | 10,331 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | t1_fit | true | function | 12 | 17 | false | true | [
"lorentzian_fit",
"rabi_fit",
"t1_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | [
{
"name": "BaseAnalysis",
"type": "module"
},
{
"name": "curve_fit",
"type": "module"
},
{
"name": "data_post",
"type": "function"
},
{
"name": "exp",
"type": "function"
},
{
"name": "lmfit",
"type": "module"
},
{
"name": "lorentzian_fit",
"type": ... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"lorentzian_fit",
"rabi_fit",
"t1_fit",
"ramsey_fit",
"curve_fit",
"BaseAnalysis",
"data_post",
"exp",
"rabi",
"ramsey",
"resonator_peak",
"set_datadir"
] | qual to the QCM gain when performing a Rabi.
print(f"\nrabi oscillation min voltage = {rabi_oscillations_pi_pulse_min_voltage}")
print(f"\nT1 = {t1}")
return dataset, pi_pulse_duration, pi_pulse_amplitude, pi_pulse_gain, rabi_oscillations_pi_pulse_min_voltage, t1
# T1: RX(pi) - wait t(rota... | 5,516 |
7,834 | 223 | 11,252 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | add | true | function | 8 | 8 | false | false | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__... | [
{
"name": "add",
"type": "function"
},
{
"name": "add_measurement",
"type": "function"
},
{
"name": "add_u3",
"type": "function"
},
{
"name": "phase",
"type": "statement"
},
{
"name": "pulses",
"type": "statement"
},
{
"name": "qcm_pulses",
"type":... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time"
] | e = ReadoutPulse(**ro_pulse_settings, shape = ro_pulse_shape)
sequence = PulseSequence()
sequence.add(qc_pi_pulse)
sequence.add(ro_pulse)
ds = self.load_settings()
self.pl.tuids_max_num(ds['max_num_plots'])
software_averages = ds['software_averages']
ds = ds['t1'... | 5,518 |
7,835 | 223 | 11,391 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | add | true | function | 8 | 8 | false | false | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time",
"__init__",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__... | [
{
"name": "add",
"type": "function"
},
{
"name": "add_measurement",
"type": "function"
},
{
"name": "add_u3",
"type": "function"
},
{
"name": "phase",
"type": "statement"
},
{
"name": "pulses",
"type": "statement"
},
{
"name": "qcm_pulses",
"type":... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"add",
"pulses",
"phase",
"qcm_pulses",
"qrm_pulses",
"add_measurement",
"add_u3",
"time"
] | sequence.add(ro_pulse)
ds = self.load_settings()
self.pl.tuids_max_num(ds['max_num_plots'])
software_averages = ds['software_averages']
ds = ds['t1']
delay_before_readout_start = ds['delay_before_readout_start']
delay_before_readout_end = ds['delay_before_readout_end']
... | 5,519 |
7,837 | 223 | 12,736 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | infile | run_resonator_spectroscopy | true | function | 11 | 11 | false | true | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"__init__",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | duration = ps['pi_pulse_duration']
phase = 0
shape = eval(ps['pi_pulse_shape'])
qc_pi_pulse = Pulse(start, duration, amplitude, frequency, phase, shape)
ro_pulse_shape = eval(ps['readout_pulse'].popitem()[1])
ro_pulse_settings = ps['readout_pulse']
ro_pulse = ReadoutPuls... | 5,521 |
7,838 | 223 | 13,689 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | infile | run_qubit_spectroscopy | true | function | 11 | 11 | false | true | [
"platform",
"mc",
"pl",
"callibrate_qubit_states",
"load_settings",
"__init__",
"auto_calibrate_plaform",
"ins",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"mc",
"pl",
"callibrate_qubit_states",
"load_settings",
"auto_calibrate_plaform",
"ins",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | sequence, nshots)
#Compose complex point from i, q obtained from execution
point = complex(qubit_state[2], qubit_state[3])
all_gnd_states.add(point)
#Exectue niter single exc shots
platform.LO_qcm.on()
all_exc_states = []
for i in range(niter):
... | 5,522 |
7,839 | 223 | 14,451 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | inproject | run_rabi_pulse_length | true | function | 11 | 11 | false | true | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"__init__",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | t platform runcard
utils.backup_config_file(platform)
#run and save cavity spectroscopy calibration
resonator_freq, avg_min_voltage, max_ro_voltage, smooth_dataset, dataset = self.run_resonator_spectroscopy()
print(utils.get_config_parameter("settings", "", "resonator_freq"))
p... | 5,523 |
7,840 | 223 | 15,369 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | infile | callibrate_qubit_states | true | function | 11 | 11 | false | true | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"__init__",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__"... | [
{
"name": "auto_calibrate_plaform",
"type": "function"
},
{
"name": "callibrate_qubit_states",
"type": "function"
},
{
"name": "ins",
"type": "statement"
},
{
"name": "load_settings",
"type": "function"
},
{
"name": "mc",
"type": "statement"
},
{
"name... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"mc",
"pl",
"load_settings",
"ins",
"auto_calibrate_plaform",
"callibrate_qubit_states",
"run_qubit_spectroscopy",
"run_rabi_pulse_length",
"run_resonator_spectroscopy",
"run_t1"
] | oltage))
# utils.save_config_parameter("LO_QRM_settings", "", "frequency", float(resonator_freq - 20_000_000))
#run and save qubit spectroscopy calibration
qubit_freq, min_ro_voltage, smooth_dataset, dataset = self.run_qubit_spectroscopy()
print(utils.get_config_parameter("settings", ""... | 5,524 |
7,844 | 223 | 16,579 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | common | ro_pulse | true | statement | 6 | 6 | false | true | [
"ro_pulse",
"qc_pulse",
"name",
"unit",
"label",
"__init__",
"set",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"__reduce_ex__",
"__repr... | [
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "qc_pulse",
"type": "statement"
},
{
"name": "ro_pulse",
"type": "statement"
},
{
"name": "set",
"type": "function"
},
{
"name": "unit",
"type": "statement... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"ro_pulse",
"qc_pulse",
"name",
"unit",
"label",
"set"
] | onfig_parameter("settings", "", "pi_pulse_gain"))
print(utils.get_config_parameter("settings", "", "rabi_oscillations_pi_pulse_min_voltage"))
# utils.save_config_parameter("settings", "", "pi_pulse_duration", int(pi_pulse_duration))
# utils.save_config_parameter("settings", "", "pi_pulse_amplitu... | 5,526 |
7,848 | 223 | 17,001 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | common | ro_pulse | true | statement | 7 | 7 | false | false | [
"ro_pulse",
"name",
"unit",
"label",
"initial_value",
"__init__",
"base_duration",
"set",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"_... | [
{
"name": "base_duration",
"type": "statement"
},
{
"name": "initial_value",
"type": "statement"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "ro_pulse",
"type": "statement"
},
{
"name": "set",
"ty... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"ro_pulse",
"name",
"unit",
"label",
"initial_value",
"base_duration",
"set"
] | , float(pi_pulse_gain))
# utils.save_config_parameter("settings", "", "rabi_oscillations_pi_pulse_min_voltage", float(rabi_oscillations_pi_pulse_min_voltage))
# #run calibration_qubit_states
all_gnd_states, mean_gnd_states, all_exc_states, mean_exc_states = self.callibrate_qubit_states()
... | 5,527 |
7,850 | 223 | 17,023 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | common | base_duration | true | statement | 7 | 7 | false | true | [
"ro_pulse",
"base_duration",
"name",
"unit",
"label",
"__init__",
"initial_value",
"set",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"_... | [
{
"name": "base_duration",
"type": "statement"
},
{
"name": "initial_value",
"type": "statement"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "ro_pulse",
"type": "statement"
},
{
"name": "set",
"ty... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"ro_pulse",
"base_duration",
"name",
"unit",
"label",
"initial_value",
"set"
] | )
# utils.save_config_parameter("settings", "", "rabi_oscillations_pi_pulse_min_voltage", float(rabi_oscillations_pi_pulse_min_voltage))
# #run calibration_qubit_states
all_gnd_states, mean_gnd_states, all_exc_states, mean_exc_states = self.callibrate_qubit_states()
# #TODO: save in run... | 5,528 |
7,853 | 223 | 17,383 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | common | platform | true | statement | 6 | 6 | false | false | [
"platform",
"sequence",
"name",
"unit",
"label",
"__init__",
"get",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"__reduce_ex__",
"__repr... | [
{
"name": "get",
"type": "function"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "platform",
"type": "statement"
},
{
"name": "sequence",
"type": "statement"
},
{
"name": "unit",
"type": "statement... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"sequence",
"name",
"unit",
"label",
"get"
] |
print(all_gnd_states)
print(mean_gnd_states)
print(all_exc_states)
print(mean_exc_states)
# #TODO: Remove plot qubit states results when tested
utils.plot_qubit_states(all_gnd_states, all_exc_states)
#TODO: Remove 0 and 1 classification from auto calibration wh... | 5,529 |
7,854 | 223 | 17,405 | qiboteam__qibolab | e4b0e8e6dd612e696a161da9972f4bb9b6bf8cd0 | src/qibolab/calibration/calibration.py | common | sequence | true | statement | 6 | 6 | false | true | [
"platform",
"sequence",
"name",
"unit",
"label",
"__init__",
"get",
"__annotations__",
"__class__",
"__delattr__",
"__dict__",
"__dir__",
"__eq__",
"__format__",
"__getattribute__",
"__hash__",
"__init_subclass__",
"__ne__",
"__new__",
"__reduce__",
"__reduce_ex__",
"__repr... | [
{
"name": "get",
"type": "function"
},
{
"name": "label",
"type": "statement"
},
{
"name": "name",
"type": "statement"
},
{
"name": "platform",
"type": "statement"
},
{
"name": "sequence",
"type": "statement"
},
{
"name": "unit",
"type": "statement... | import pathlib
import numpy as np
#import matplotlib.pyplot as plt
import utils
import yaml
import fitting
from qibolab import Platform
# TODO: Have a look in the documentation of ``MeasurementControl``
#from quantify_core.measurement import MeasurementControl
from quantify_core.measurement.control import Gettable, Se... | [
"platform",
"sequence",
"name",
"unit",
"label",
"get"
] | _states)
print(mean_gnd_states)
print(all_exc_states)
print(mean_exc_states)
# #TODO: Remove plot qubit states results when tested
utils.plot_qubit_states(all_gnd_states, all_exc_states)
#TODO: Remove 0 and 1 classification from auto calibration when tested
#Cla... | 5,530 |
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