From 468bda1ee55a06e6b847f7a1f91939fe53b7af1a Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Wed, 5 Jul 2023 20:44:05 +0900
Subject: [PATCH 1/9] Remove old qmpc from libclient/

---
 .../client/libclient-py/quickmpc/__init__.py  |  15 +-
 packages/client/libclient-py/quickmpc/qmpc.py | 289 ++++++++----------
 .../client/libclient-py/quickmpc/qmpc_new.py  | 135 --------
 .../tests/unit_tests/test_parse.py            |   3 +-
 .../{test_qmpc_new.py => test_qmpc.py}        |   2 +-
 .../tests/unit_tests/test_restore.py          |  26 +-
 6 files changed, 129 insertions(+), 341 deletions(-)
 delete mode 100644 packages/client/libclient-py/quickmpc/qmpc_new.py
 rename packages/client/libclient-py/tests/unit_tests/{test_qmpc_new.py => test_qmpc.py} (99%)

diff --git a/packages/client/libclient-py/quickmpc/__init__.py b/packages/client/libclient-py/quickmpc/__init__.py
index f4bca9b2e..8b9209aef 100644
--- a/packages/client/libclient-py/quickmpc/__init__.py
+++ b/packages/client/libclient-py/quickmpc/__init__.py
@@ -1,18 +1,11 @@
-from quickmpc.qmpc import (JobErrorInfo, JobStatus, QMPC,
-                           Schema, ShareValueTypeEnum)
-
+from .qmpc import QMPC
 from .qmpc_logging import get_logger  # noqa: F401
-from .utils.parse_csv import parse, parse_csv  # noqa: F401
+from .share_data_frame import ShareDataFrame
 from .version import __version__
 
 __all__ = [
-    "QMPC",
-    "JobStatus",
-    "JobErrorInfo",
-    "Schema",
-    "ShareValueTypeEnum",
     "__version__",
-    "parse",
-    "parse_csv"
+    "QMPC",
+    "ShareDataFrame",
     "get_logger"
 ]
diff --git a/packages/client/libclient-py/quickmpc/qmpc.py b/packages/client/libclient-py/quickmpc/qmpc.py
index b0edd09c3..cf2ee37c8 100644
--- a/packages/client/libclient-py/quickmpc/qmpc.py
+++ b/packages/client/libclient-py/quickmpc/qmpc.py
@@ -1,184 +1,135 @@
-import io
 from dataclasses import dataclass, field, InitVar
-from typing import Dict, List, Optional, Tuple, Union
+from typing import List, Union
 
 import pandas as pd
 
-from .proto.common_types import common_types_pb2
-from .qmpc_logging import get_logger
 from .qmpc_request import QMPCRequest
+from .request.qmpc_request_interface import QMPCRequestInterface
 from .restore import restore
-from .share import Share
+from .share_data_frame import ShareDataFrame
+from .utils.overload_tools import Dim1, methoddispatch
 from .utils.parse_csv import to_float
 
-logger = get_logger()
-# qmpc.JobStatus でアクセスできるようにエイリアスを設定する
-JobStatus \
-    = common_types_pb2.JobStatus
-ComputationMethod \
-    = common_types_pb2.ComputationMethod
-JobErrorInfo = common_types_pb2.JobErrorInfo
-Schema = common_types_pb2.Schema
-ShareValueTypeEnum = common_types_pb2.ShareValueTypeEnum
-
 
 @dataclass(frozen=True)
 class QMPC:
-    endpoints: InitVar[List[str]]
-    retry_num: InitVar[int] = 10
-    retry_wait_time: InitVar[int] = 5
-
-    __qmpc_request: QMPCRequest = field(init=False)
-    __party_size: int = field(init=False)
-
-    def __post_init__(self, endpoints: List[str],
-                      retry_num: int, retry_wait_time: int):
-        logger.info(f"[QuickMPC server IP]={endpoints}")
-        object.__setattr__(self, "_QMPC__qmpc_request", QMPCRequest(
-            endpoints, retry_num, retry_wait_time))
-        object.__setattr__(self, "_QMPC__party_size", len(endpoints))
-
-    def send_share_from_df(self,
-                           df: pd.DataFrame,
-                           matching_column: int = 1,
-                           piece_size: int = 1_000_000) -> Dict:
-        index_col = df.columns[matching_column-1]
-        logger.info("send_share. "
-                    f"[matching ID name]={index_col}")
-        # ID列を1列目に持ってくる
-        df = df.iloc[:, [matching_column-1] +
-                     [i for i in range(len(df.columns))
-                      if i != matching_column-1]]
+    """QuickMPCのdataのやり取りをするクラス
+
+    Attributes
+    ----------
+    arg: Union[List[str], QMPCRequestInterface]]
+        parties: List[str]
+            serverのIP
+        qmpc_request: QMPCRequestMock
+            qmpc serverに対してrequestを送るinterface
+    """
+
+    arg: InitVar[Union[List[str], QMPCRequestInterface]]
+
+    __qmpc_request: QMPCRequestInterface = field(init=False)
+
+    @methoddispatch()
+    def __post_init__(self, *args, **kwargs):
+        raise NotImplementedError("QMPCClientにサポートしていない値が与えられた．")
+
+    @__post_init__.register(Dim1)
+    def __post_init__default(self, parties: List[str]):
+        object.__setattr__(self, "_QMPC__qmpc_request",
+                           QMPCRequest(parties))
+
+    @__post_init__.register(QMPCRequest)
+    def __post_init__original(self, qmpc_request: QMPCRequest):
+        # mydispatchを改造してinterfaceでオーバーロードさせる
+        object.__setattr__(self, "_QMPC__qmpc_request", qmpc_request)
+
+    def read_csv(self, *args, index_col: str, **kwargs) -> pd.DataFrame:
+        """csvからテーブルデータを読み込む．
+
+        テーブル結合処理に用いる列がどの列かを`index_col`で指定する必要がある．
+        `index_col`以外の引数は全てpandasのread_csvと同じ．
+
+        Parameters
+        ----------
+        filepath_or_buffer: str, path object or file-like object
+            らしい
+        index_col: str
+            ID列としたいカラム名
+
+        Returns
+        ----------
+        pd.DataFrame
+            読み込んだテーブルデータ
+        """
+        df = pd.read_csv(*args, **kwargs)
         # ID列を数値化
         df[index_col] = df[index_col].map(lambda x: to_float(x))
         # join時にQMPCのCC側でID列でsortできる様に、座圧を行いindexに設定しておく
         df["original_index"] = df.index
-        df = df.sort_values(by=index_col) \
-            .reset_index(drop=True) \
-            .sort_values(by="original_index") \
-            .drop('original_index', axis=1)
-        res = self.__qmpc_request.send_share(df, piece_size=piece_size)
-        return {"is_ok": True, "data_id": res.data_id}
-
-    def send_share_from_csv_file(self,
-                                 filename: Union[str, io.StringIO],
-                                 matching_column: int = 1,
-                                 piece_size: int = 1_000_000) -> Dict:
-        df = pd.read_csv(filename)
-        return self.send_share_from_df(df, matching_column, piece_size)
-
-    def send_share_from_csv_data(self,
-                                 data: List[List[str]],
-                                 matching_column: int = 1,
-                                 piece_size: int = 1_000_000) -> Dict:
-        df = pd.DataFrame(data[1:], columns=data[0])
-        return self.send_share_from_df(df, matching_column, piece_size)
-
-    def delete_share(self, data_ids: List[str]) -> Dict:
-        logger.info("delete_share request. "
-                    f"[delete id list]={data_ids}")
-        self.__qmpc_request.delete_share(data_ids)
-        return {"is_ok": True}
-
-    def mean(self, data_ids: List[str], src: List,
-             *, debug_mode: bool = False) -> Dict:
-        logger.info("mean request. "
-                    f"[data_id list]={data_ids} "
-                    f"[src columns]={src} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.mean(data_ids, src, debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def variance(self, data_ids: List[str], src: List,
-                 *, debug_mode: bool = False) -> Dict:
-        logger.info("variance request. "
-                    f"[data_id list]={data_ids} "
-                    f"[src columns]={src} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.variance(
-            data_ids, src, debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def sum(self, data_ids: List[str], src: List,
-            *, debug_mode: bool = False) -> Dict:
-        logger.info("sum request. "
-                    f"[data_id list]={data_ids} "
-                    f"[src columns]={src} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.sum(data_ids, src, debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def correl(self, data_ids: List[str], inp: Tuple[List[int], List[int]],
-               *, debug_mode: bool = False) -> Dict:
-        logger.info("correl request. "
-                    f"[data_id list]={data_ids} "
-                    f"[src columns]={inp[0]}"
-                    f"[target columns]={inp[1]} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.correl(
-            data_ids, inp[0], inp[1], debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def meshcode(self, data_ids: List[str], src: List,
-                 *, debug_mode: bool = False) -> Dict:
-        logger.info("meshcode request. "
-                    f"[data_id list]={data_ids} "
-                    f"[src columns]={src} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.meshcode(
-            data_ids, src, debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def get_join_table(self, data_ids: List[str],
-                       *, debug_mode: bool = False) -> Dict:
-        logger.info("get_join_table request. "
-                    f"[data_id list]={data_ids} "
-                    f"[debug_mode]={debug_mode}")
-        res = self.__qmpc_request.join(data_ids, debug_mode=debug_mode)
-        return {"is_ok": True, "job_uuid": res.job_uuid}
-
-    def get_computation_result(self, job_uuid: str,
-                               path: Optional[str] = None) -> Dict:
-        logger.info("get_computation_result request. "
-                    f"[job_uuid]={job_uuid} "
-                    f"[path]={path}")
-        res = self.__qmpc_request.get_computation_result(job_uuid,
-                                                         output_path=path)
-        return {"is_ok": True, "results": res.results}
-
-    def demo_sharize(self, secrets: List) -> Dict:
-        logger.info("demo_sharize request. "
-                    f"[secrets size]={len(secrets)}x{len(secrets[0])}")
-        share = Share.sharize(secrets, self.__party_size)
-        return {'is_ok': True, 'results': share}
-
-    def get_elapsed_time(self, job_uuid: str) -> Dict:
-        logger.info("get_elapsed_time request. "
-                    f"[job_uuid]={job_uuid}")
-        res = self.__qmpc_request.get_elapsed_time(job_uuid)
-        return {"is_ok": True,
-                "elapsed_time": res.elapsed_time}
-
-    def restore(self, job_uuid: str, path: str):
-        logger.info("restore request. "
-                    f"[job_uuid]={job_uuid} "
-                    f"[path]={path}")
-        return restore(job_uuid, path, self.__party_size)
-
-    def get_computation_status(self, job_uuid: str) -> Dict:
-        logger.info("get_computation_status request. "
-                    f"[job_uuid]={job_uuid}")
-        res = self.__qmpc_request.get_computation_status(job_uuid)
-        return {"is_ok": True,
-                "statuses": res.job_statuses, "progresses": res.progresses}
-
-    def get_job_error_info(self, job_uuid: str) -> Dict:
-        logger.info("get_job_error_info request. "
-                    f"[job_uuid]={job_uuid}")
-        res = self.__qmpc_request.get_job_error_info(job_uuid)
-        return {"is_ok": True,
-                "job_error_info": res.job_error_info}
-
-    @staticmethod
-    def set_log_level(level: int):
-        logger.setLevel(level)
+        df = df.sort_values(by=index_col)
+        df = df.reset_index(drop=True)
+        df = df.sort_values(by="original_index")
+        df = df.drop('original_index', axis=1)
+        df.set_index(index_col)
+        return df
+
+    def send_to(self, df: pd.DataFrame) -> ShareDataFrame:
+        """QuickMPCサーバにデータを送信する．
+
+        Parameters
+        ----------
+        df: df.DataFrame
+            送信するデータ
+
+        Returns
+        ----------
+        ShareDataFrame
+            QuickMPC形式のDataframe
+        """
+        # send_shareできる形式に変換
+        res = self.__qmpc_request.send_share(df, piece_size=1_000_000)
+        return ShareDataFrame(res.data_id, self.__qmpc_request)
+
+    def load_from(self, data_id: str) -> ShareDataFrame:
+        """既に送信してあるデータを参照する．
+
+        Parameters
+        ----------
+        data_id: str
+            既に送信してあるデータのID
+
+        Returns
+        ----------
+        ShareDataFrame
+            QuickMPC形式のDataframe
+        """
+        return ShareDataFrame(data_id, self.__qmpc_request)
+
+    # TODO: job_uuidとparty_sizeは指定しなくても良いようにしたい
+    def restore(self, job_uuid: str, filepath: str, party_size: int) \
+            -> ShareDataFrame:
+        """既に送信してあるデータを参照する．
+
+        Parameters
+        ----------
+        job_uuid: str
+            データのID
+        filepath: str
+            dataが保存してあるディレクトリ
+
+        Returns
+        ----------
+        ShareDataFrame
+            QuickMPC形式のDataframe
+        """
+        # TODO: get_computation_resultと同じ処理なのでうまくまとめる
+        res = restore(job_uuid, filepath, party_size)
+        if res is None:
+            return pd.DataFrame()
+        if type(res) == dict:
+            if res["schema"] is None or res["table"] is None:
+                return pd.DataFrame()
+            schema = [s.name for s in res["schema"]]
+            df = pd.DataFrame(res["table"],
+                              columns=schema)
+            return df
+        return pd.DataFrame(res)
diff --git a/packages/client/libclient-py/quickmpc/qmpc_new.py b/packages/client/libclient-py/quickmpc/qmpc_new.py
deleted file mode 100644
index cf2ee37c8..000000000
--- a/packages/client/libclient-py/quickmpc/qmpc_new.py
+++ /dev/null
@@ -1,135 +0,0 @@
-from dataclasses import dataclass, field, InitVar
-from typing import List, Union
-
-import pandas as pd
-
-from .qmpc_request import QMPCRequest
-from .request.qmpc_request_interface import QMPCRequestInterface
-from .restore import restore
-from .share_data_frame import ShareDataFrame
-from .utils.overload_tools import Dim1, methoddispatch
-from .utils.parse_csv import to_float
-
-
-@dataclass(frozen=True)
-class QMPC:
-    """QuickMPCのdataのやり取りをするクラス
-
-    Attributes
-    ----------
-    arg: Union[List[str], QMPCRequestInterface]]
-        parties: List[str]
-            serverのIP
-        qmpc_request: QMPCRequestMock
-            qmpc serverに対してrequestを送るinterface
-    """
-
-    arg: InitVar[Union[List[str], QMPCRequestInterface]]
-
-    __qmpc_request: QMPCRequestInterface = field(init=False)
-
-    @methoddispatch()
-    def __post_init__(self, *args, **kwargs):
-        raise NotImplementedError("QMPCClientにサポートしていない値が与えられた．")
-
-    @__post_init__.register(Dim1)
-    def __post_init__default(self, parties: List[str]):
-        object.__setattr__(self, "_QMPC__qmpc_request",
-                           QMPCRequest(parties))
-
-    @__post_init__.register(QMPCRequest)
-    def __post_init__original(self, qmpc_request: QMPCRequest):
-        # mydispatchを改造してinterfaceでオーバーロードさせる
-        object.__setattr__(self, "_QMPC__qmpc_request", qmpc_request)
-
-    def read_csv(self, *args, index_col: str, **kwargs) -> pd.DataFrame:
-        """csvからテーブルデータを読み込む．
-
-        テーブル結合処理に用いる列がどの列かを`index_col`で指定する必要がある．
-        `index_col`以外の引数は全てpandasのread_csvと同じ．
-
-        Parameters
-        ----------
-        filepath_or_buffer: str, path object or file-like object
-            らしい
-        index_col: str
-            ID列としたいカラム名
-
-        Returns
-        ----------
-        pd.DataFrame
-            読み込んだテーブルデータ
-        """
-        df = pd.read_csv(*args, **kwargs)
-        # ID列を数値化
-        df[index_col] = df[index_col].map(lambda x: to_float(x))
-        # join時にQMPCのCC側でID列でsortできる様に、座圧を行いindexに設定しておく
-        df["original_index"] = df.index
-        df = df.sort_values(by=index_col)
-        df = df.reset_index(drop=True)
-        df = df.sort_values(by="original_index")
-        df = df.drop('original_index', axis=1)
-        df.set_index(index_col)
-        return df
-
-    def send_to(self, df: pd.DataFrame) -> ShareDataFrame:
-        """QuickMPCサーバにデータを送信する．
-
-        Parameters
-        ----------
-        df: df.DataFrame
-            送信するデータ
-
-        Returns
-        ----------
-        ShareDataFrame
-            QuickMPC形式のDataframe
-        """
-        # send_shareできる形式に変換
-        res = self.__qmpc_request.send_share(df, piece_size=1_000_000)
-        return ShareDataFrame(res.data_id, self.__qmpc_request)
-
-    def load_from(self, data_id: str) -> ShareDataFrame:
-        """既に送信してあるデータを参照する．
-
-        Parameters
-        ----------
-        data_id: str
-            既に送信してあるデータのID
-
-        Returns
-        ----------
-        ShareDataFrame
-            QuickMPC形式のDataframe
-        """
-        return ShareDataFrame(data_id, self.__qmpc_request)
-
-    # TODO: job_uuidとparty_sizeは指定しなくても良いようにしたい
-    def restore(self, job_uuid: str, filepath: str, party_size: int) \
-            -> ShareDataFrame:
-        """既に送信してあるデータを参照する．
-
-        Parameters
-        ----------
-        job_uuid: str
-            データのID
-        filepath: str
-            dataが保存してあるディレクトリ
-
-        Returns
-        ----------
-        ShareDataFrame
-            QuickMPC形式のDataframe
-        """
-        # TODO: get_computation_resultと同じ処理なのでうまくまとめる
-        res = restore(job_uuid, filepath, party_size)
-        if res is None:
-            return pd.DataFrame()
-        if type(res) == dict:
-            if res["schema"] is None or res["table"] is None:
-                return pd.DataFrame()
-            schema = [s.name for s in res["schema"]]
-            df = pd.DataFrame(res["table"],
-                              columns=schema)
-            return df
-        return pd.DataFrame(res)
diff --git a/packages/client/libclient-py/tests/unit_tests/test_parse.py b/packages/client/libclient-py/tests/unit_tests/test_parse.py
index 38ac35826..da52b92f2 100644
--- a/packages/client/libclient-py/tests/unit_tests/test_parse.py
+++ b/packages/client/libclient-py/tests/unit_tests/test_parse.py
@@ -5,7 +5,8 @@
 import numpy as np
 import pytest
 
-from quickmpc import Schema, ShareValueTypeEnum
+from quickmpc.proto.common_types.common_types_pb2 import (Schema,
+                                                          ShareValueTypeEnum)
 from quickmpc.utils.parse_csv import parse, parse_csv
 
 
diff --git a/packages/client/libclient-py/tests/unit_tests/test_qmpc_new.py b/packages/client/libclient-py/tests/unit_tests/test_qmpc.py
similarity index 99%
rename from packages/client/libclient-py/tests/unit_tests/test_qmpc_new.py
rename to packages/client/libclient-py/tests/unit_tests/test_qmpc.py
index 9b14e6c8b..430d90324 100644
--- a/packages/client/libclient-py/tests/unit_tests/test_qmpc_new.py
+++ b/packages/client/libclient-py/tests/unit_tests/test_qmpc.py
@@ -5,7 +5,7 @@
 import pytest
 
 from quickmpc.exception import ArgumentError
-from quickmpc.qmpc_new import QMPC
+from quickmpc.qmpc import QMPC
 from quickmpc.qmpc_request import QMPCRequest
 from quickmpc.share_data_frame import ShareDataFrameStatus
 
diff --git a/packages/client/libclient-py/tests/unit_tests/test_restore.py b/packages/client/libclient-py/tests/unit_tests/test_restore.py
index 7a4fabd35..7a6329c12 100644
--- a/packages/client/libclient-py/tests/unit_tests/test_restore.py
+++ b/packages/client/libclient-py/tests/unit_tests/test_restore.py
@@ -1,39 +1,17 @@
-import numpy as np
 import pandas as pd
 
-from quickmpc import QMPC
-from quickmpc.qmpc_new import QMPC as QMPCNew
+from quickmpc.qmpc import QMPC
 from quickmpc.qmpc_request import QMPCRequest
 from quickmpc.share_data_frame import ShareDataFrame
 
 
 class TestQMPC:
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"],
-    )
-
-    def test_restore(self, run_server1, run_server2, run_server3):
-        """ファイルに書き出し、復元できるかテスト"""
-        job_id: str = "uuid"
-        path = "./tests/unit_tests/"
-        res = self.qmpc.get_computation_result(job_id, path)
-        assert (res["is_ok"])
-
-        res = self.qmpc.restore(job_id, path)
-
-        expect = [3.0, 6.0]
-        assert (np.allclose(expect, res))
-
-
-class TestQMPCNew:
     qmpc_request: QMPCRequest = QMPCRequest([
         "http://localhost:50001",
         "http://localhost:50002",
         "http://localhost:50003"
     ])
-    qmpc: QMPCNew = QMPCNew(qmpc_request)
+    qmpc: QMPC = QMPC(qmpc_request)
 
     def test_restore(self, run_server1, run_server2, run_server3):
         """ファイルに書き出し、復元できるかテスト"""

From bba6cb6425729ec41c8b687fb85c878ad4134ae1 Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Mon, 10 Jul 2023 18:16:47 +0900
Subject: [PATCH 2/9] Remove old libclient demo

---
 demo/client_demo/README-ja.md                 |  11 +-
 demo/client_demo/README.md                    |   9 +-
 .../data/{data1-1.csv => data-join1.csv}      |   0
 .../data/{data1-2.csv => data-join2.csv}      |   0
 demo/client_demo/data/data1-3.csv             |   6 -
 .../integration_demo/execute_demo.py          | 107 -------------
 .../integration_demo/progress_demo.py         | 143 ------------------
 demo/client_demo/integration_demo/utils.py    |  14 --
 .../execute_demo.py}                          |   3 +-
 .../join_demo.py                              |   7 +-
 .../meshcode_demo.py                          |   3 +-
 .../progress_demo.py}                         |   3 +-
 demo/client_demo/unit_demo/delete_share.py    |  31 ----
 demo/client_demo/unit_demo/demo_sharize.py    |  35 -----
 .../unit_demo/execute_computation.py          |  28 ----
 .../unit_demo/get_computation_result.py       |  21 ---
 .../client_demo/unit_demo/get_elapsed_time.py |  21 ---
 demo/client_demo/unit_demo/get_join_table.py  |  39 -----
 demo/client_demo/unit_demo/send_share.py      |  25 ---
 19 files changed, 13 insertions(+), 493 deletions(-)
 rename demo/client_demo/data/{data1-1.csv => data-join1.csv} (100%)
 rename demo/client_demo/data/{data1-2.csv => data-join2.csv} (100%)
 delete mode 100644 demo/client_demo/data/data1-3.csv
 delete mode 100644 demo/client_demo/integration_demo/execute_demo.py
 delete mode 100644 demo/client_demo/integration_demo/progress_demo.py
 delete mode 100644 demo/client_demo/integration_demo/utils.py
 rename demo/client_demo/{integration_demo_new/execute_demo_.py => scripts/execute_demo.py} (93%)
 rename demo/client_demo/{integration_demo_new => scripts}/join_demo.py (77%)
 rename demo/client_demo/{integration_demo_new => scripts}/meshcode_demo.py (92%)
 rename demo/client_demo/{integration_demo_new/progress_demo_.py => scripts/progress_demo.py} (93%)
 delete mode 100644 demo/client_demo/unit_demo/delete_share.py
 delete mode 100644 demo/client_demo/unit_demo/demo_sharize.py
 delete mode 100644 demo/client_demo/unit_demo/execute_computation.py
 delete mode 100644 demo/client_demo/unit_demo/get_computation_result.py
 delete mode 100644 demo/client_demo/unit_demo/get_elapsed_time.py
 delete mode 100644 demo/client_demo/unit_demo/get_join_table.py
 delete mode 100644 demo/client_demo/unit_demo/send_share.py

diff --git a/demo/client_demo/README-ja.md b/demo/client_demo/README-ja.md
index 199685e8d..7370c373f 100644
--- a/demo/client_demo/README-ja.md
+++ b/demo/client_demo/README-ja.md
@@ -18,9 +18,7 @@ $ pipenv --python=3.8 # Python3.8の場合
 $ pipenv --python=3.9 # Python3.9の場合
 ```
 ### 3. ディレクトリを移動して実行する
-各操作ごとのデモは`unit_demo/`，全体のデモは`integration_demo/`で実行可能．
-また，`send_share.py`，`send_asss_share.py`，`demo_sharize.py`はコマンドライン引数にファイルのpathを指定する必要がある. <br>
-また、[ステップ1](#1-コンテナを立ちあげる)にてGCPで立ち上げた場合は実行ファイルの接続情報を書き換える.
+[ステップ1](#1-コンテナを立ちあげる)にてGCPで立ち上げた場合は実行ファイルの接続情報を書き換える.
 
 ```
 qmpc: QMPC = QMPC(
@@ -30,8 +28,7 @@ qmpc: QMPC = QMPC(
 ```
 
 ```console
-$ cd unit_demo/
-$ pipenv run python send_share.py [file_path] # シェア送信のデモを実行
-$ pipenv run python execute_computation.py # 計算リクエストのデモを実行
+$ cd scripts/
+$ pipenv run python execute_demo.py # 統計演算のデモを実行
+$ pipenv run python join_demo.py # 横結合のデモを実行
 ```
-なお，`unit_demo/execute_computation.py`などの一部のunit_demoは，動作がsend_shareなどから得られるID情報に依存するため，適宜IDを書き換える必要がある．
diff --git a/demo/client_demo/README.md b/demo/client_demo/README.md
index 8a8c81f61..5616347fb 100644
--- a/demo/client_demo/README.md
+++ b/demo/client_demo/README.md
@@ -18,11 +18,8 @@ $ pipenv --python=3.9 # for Python 3.9
 ```
 
 ### 3. Navigate and run in the directory
-Demos for each operation can be run in `unit_demo/` and for the whole demo in `integration_demo/`.
-Also, `send_share.py`, `send_asss_share.py` and `demo_sharize.py` require the file path to be specified in the command line argument.
 ```console
-$ cd unit_demo/
-$ pipenv run python send_share.py [file_path] # Run the demo of sending share
-$ pipenv run python execute_computation.py # Run the demo of executing computation
+$ cd scripts/
+$ pipenv run python execute_demo.py
+$ pipenv run python join_demo.py
 ```
-Note that some unit_demos such as ``unit_demo/execute_computation.py`` depend on ID information obtained from send_share, etc., so you need to rewrite the ID accordingly.
diff --git a/demo/client_demo/data/data1-1.csv b/demo/client_demo/data/data-join1.csv
similarity index 100%
rename from demo/client_demo/data/data1-1.csv
rename to demo/client_demo/data/data-join1.csv
diff --git a/demo/client_demo/data/data1-2.csv b/demo/client_demo/data/data-join2.csv
similarity index 100%
rename from demo/client_demo/data/data1-2.csv
rename to demo/client_demo/data/data-join2.csv
diff --git a/demo/client_demo/data/data1-3.csv b/demo/client_demo/data/data1-3.csv
deleted file mode 100644
index 3ce05ca69..000000000
--- a/demo/client_demo/data/data1-3.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-id,attr1,attr2,attr3
-f,1,2,3
-g,1,2,2
-h,2,5,7
-i,3,1,1
-j,5,2,4
\ No newline at end of file
diff --git a/demo/client_demo/integration_demo/execute_demo.py b/demo/client_demo/integration_demo/execute_demo.py
deleted file mode 100644
index 3c327accc..000000000
--- a/demo/client_demo/integration_demo/execute_demo.py
+++ /dev/null
@@ -1,107 +0,0 @@
-""" QuickMPCによる演算の動作デモ
-本デモコードは次の操作を行っている．
-Step 1. QuickMPC動作のための準備
-Step 2. シェアをコンテナに送信
-Step 3. 計算リクエストを送信
-Step 4. シェアを元に復元された演算結果の真値を取得
-"""
-
-import logging
-import time
-from typing import Callable, List, Tuple
-
-from quickmpc import QMPC, JobStatus
-
-from utils import make_statuses_detailed
-
-logger = logging.getLogger(__name__)
-formatter = ("%(levelname)-5s | %(message)s")
-logging.basicConfig(level=logging.DEBUG, format=formatter)
-
-if __name__ == '__main__':
-
-    """ Step 1. 諸準備 """
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-    # データ Setting
-    data_dir: str = "../data/"
-
-    """ Step 2. シェア送信 """
-    logger.info("---- send_share start ----")
-    send_res1 = qmpc.send_share_from_csv_file(data_dir+"data1-1.csv")
-    if not send_res1["is_ok"]:
-        raise
-    data_id1 = send_res1["data_id"]
-    logger.info(f"data_id1: {data_id1}")
-
-    time.sleep(1)
-    send_res2 = qmpc.send_share_from_csv_file(data_dir+"data1-2.csv")
-    if not send_res2["is_ok"]:
-        raise
-    data_id2 = send_res2["data_id"]
-    logger.info(f"data_id2: {data_id2}")
-
-    time.sleep(1)
-    send_res3 = qmpc.send_share_from_csv_file(data_dir+"data-meshcode.csv")
-    if not send_res3["is_ok"]:
-        raise
-    data_id3 = send_res3["data_id"]
-    logger.info(f"data_id3: {data_id3}")
-    logger.info("---- send_share success ----")
-
-    """ Step 3. data_idに対して計算のリクエスト送信 """
-    time.sleep(3)
-    data_ids = [data_id1, data_id2, data_id3]
-    # Jobを追加する場合はここに追加する
-    # 形式: [呼び出すJob，指定する列，真値]
-    exe_set: List[Tuple[Callable, List, List]] = [
-        (qmpc.sum, [2, 3, 4], [12, 12, 17]),
-        (qmpc.mean, [2, 3, 4], [2.4, 2.4, 3.4]),
-        (qmpc.variance, [2, 3, 4], [2.24, 1.84, 4.24]),
-        (
-            qmpc.meshcode,
-            [7, 8, 9, 10],
-            [
-                [53, 39, 4, 5, 4, 7, 1, 1],
-                [65, 42, 5, 2, 1, 8, 3, 2],
-                [47, 30, 3, 4, 0, 3, 2, 4],
-                [51, 8, 4, 7, 4, 0, 3, 1],
-            ]
-        ),
-        (qmpc.correl, [[2, 3, 4], [5]],
-         [[0.995537307016568, -0.192854233809008, 0.0441893193071959]]),
-    ]
-    for exe_func, inp, true_val in exe_set:
-        logger.info(f"---- {exe_func.__name__} start ----")
-        # TODO: Jobごとに使用するdata_idを選択できるようにする
-        exec_res = exe_func(data_ids, inp, debug_mode=True) \
-            if exe_func == qmpc.meshcode  \
-            else exe_func(data_ids[:2], inp, debug_mode=True)
-
-        """ Step 4. 結果を取得 """
-        job_uuid = exec_res["job_uuid"]
-        logger.info(f"job_uuid: {job_uuid}")
-        # DBに計算結果が書き込まれていないと思うので1秒待機
-        time.sleep(1)
-
-        for _ in range(100):
-            # 計算が終わるか100秒(1秒x100回)経つまで繰り返す
-            get_status = qmpc.get_computation_status(job_uuid)
-            if all([r == JobStatus.Value('COMPLETED')
-                    for r in get_status["statuses"]]):
-                break
-            statuses = make_statuses_detailed(get_status['statuses'])
-            logger.info(f"statuses: {statuses}")
-            time.sleep(1)
-
-        get_res = qmpc.get_computation_result(job_uuid)
-        if get_res["results"] is not None:
-            result_secrets = get_res["results"]
-            logger.info(f"exec value: {result_secrets}")
-            logger.info(f"true value: {true_val}")
-
-            logger.info(f"---- {exe_func.__name__} success ----")
diff --git a/demo/client_demo/integration_demo/progress_demo.py b/demo/client_demo/integration_demo/progress_demo.py
deleted file mode 100644
index 5200001fa..000000000
--- a/demo/client_demo/integration_demo/progress_demo.py
+++ /dev/null
@@ -1,143 +0,0 @@
-""" QuickMPCからのレスポンスに含まれる計算処理の進捗を表示するデモ
-本デモコードは次の操作を行っている．
-Step 1. QuickMPC動作のための準備
-Step 2. 送信用データの生成
-Step 3. シェアをコンテナに送信
-Step 4. 計算リクエストを送信
-Step 5. レスポンスからプログレスバーを作成・更新
-"""
-
-import collections
-import logging
-import time
-from typing import List, Optional, OrderedDict, Tuple
-
-import tqdm
-from quickmpc import QMPC, JobStatus
-
-logger = logging.getLogger(__name__)
-formatter = ("%(levelname)-5s | %(message)s")
-logging.basicConfig(level=logging.DEBUG, format=formatter)
-
-
-def large_data(size: int, data_num: int):
-    schema_size: int = 10
-    schema: List[str] = ["id"] + \
-        [f"s{i}_{data_num}" for i in range(schema_size - 1)]
-
-    mod = 47
-    data: List[List[str]] = [
-        [str(i)] + [str(((i * size + k) % mod) / mod)
-                    for k in range(schema_size - 1)]
-        for i in range(size)
-    ]
-    return [schema] + data
-
-
-def get_data_id(size: int, data_num):
-    """ Step 2. 送信用データの生成 """
-    data = large_data(size, data_num)
-
-    """ Step 3. シェアをコンテナに送信 """
-    res = qmpc.send_share_from_csv_data(data)
-    assert (res["is_ok"])
-    data_id: str = res["data_id"]
-
-    return data_id
-
-
-if __name__ == '__main__':
-
-    """ Step 1. 諸準備 """
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-    # データ Setting
-    size = 20
-    data_id1 = get_data_id(size, data_num=1)
-    data_id2 = get_data_id(size, data_num=2)
-
-    """ Step 4. テーブル横結合をリクエスト"""
-    exec_res = qmpc.get_join_table([data_id1, data_id2])
-
-    job_uuid = exec_res["job_uuid"]
-    logger.info(f"job_uuid: {job_uuid}")
-
-    pbars: OrderedDict[Tuple[int, int],
-                       Tuple[Optional[tqdm.tqdm], float]] \
-        = collections.OrderedDict()
-
-    QMPC.set_log_level(logging.WARN)
-
-    while True:
-        get_status = qmpc.get_computation_status(job_uuid)
-
-        """ Step 5. プログレスバーの作成・更新 """
-        if get_status['statuses'] is not None:
-            for party_id, status in enumerate(get_status['statuses']):
-                key = (party_id, -1)
-
-                if key not in pbars:
-                    pbars[(party_id, -1)] = (tqdm.tqdm(
-                        desc=f"[{party_id}] status",
-                        total=len(JobStatus.items()) - 1), 0)
-
-                pbar, prev = pbars[key]
-                if pbar is None:
-                    continue
-
-                pbar.update(status - prev)
-                pbar.set_postfix(
-                    status=JobStatus.Name(status)
-                )
-
-                if status == JobStatus.Value('COMPLETED'):
-                    pbar.close()
-                    pbar = None
-
-                pbars[key] = (pbar, status)
-
-        progresses = get_status['progresses']
-        if progresses is not None:
-            for party_id, progress in enumerate(progresses):
-                if progress is None:
-                    continue
-
-                for procedure in progress.progresses:
-                    key = (party_id, procedure.id)
-
-                    if key not in pbars:
-                        pbars[key] = (tqdm.tqdm(
-                            desc=f"[{party_id}] {procedure.description}",
-                            total=100), 0)
-
-                    pbar, prev = pbars[key]
-                    if pbar is None:
-                        continue
-
-                    pbar.update(procedure.progress - prev)
-                    pbar.set_postfix(details=procedure.details)
-
-                    if procedure.completed:
-                        pbar.close()
-                        pbar = None
-
-                    pbars[key] = (pbar, procedure.progress)
-
-        if all([r == JobStatus.Value('COMPLETED')
-                for r in get_status["statuses"]]):
-            res = qmpc.get_computation_result(job_uuid)
-            if res["results"] is not None:
-                for key in pbars:
-                    pbar, prev = pbars[key]
-                    if pbar is None:
-                        continue
-                    pbar.update(100 - prev)
-                    pbar.clear()
-                    pbar.close()
-            break
-
-        time.sleep(1)
diff --git a/demo/client_demo/integration_demo/utils.py b/demo/client_demo/integration_demo/utils.py
deleted file mode 100644
index f8ea969b4..000000000
--- a/demo/client_demo/integration_demo/utils.py
+++ /dev/null
@@ -1,14 +0,0 @@
-from typing import Iterable, List, Optional
-
-from quickmpc import JobStatus
-
-
-def make_statuses_detailed(statuses: Optional[Iterable[JobStatus.ValueType]]) \
-        -> Optional[List[str]]:
-    if statuses is None:
-        return None
-
-    return [
-        f"{JobStatus.Name(s)}({s})"
-        for s in statuses
-    ]
diff --git a/demo/client_demo/integration_demo_new/execute_demo_.py b/demo/client_demo/scripts/execute_demo.py
similarity index 93%
rename from demo/client_demo/integration_demo_new/execute_demo_.py
rename to demo/client_demo/scripts/execute_demo.py
index 3c39f432c..cfecb9dc9 100644
--- a/demo/client_demo/integration_demo_new/execute_demo_.py
+++ b/demo/client_demo/scripts/execute_demo.py
@@ -1,7 +1,6 @@
 import logging
 
 import quickmpc
-from quickmpc.qmpc_new import QMPC
 
 if __name__ == '__main__':
     """ Step 0. loggerの設定(任意) """
@@ -11,7 +10,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc: QMPC = QMPC(
+    qmpc = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
diff --git a/demo/client_demo/integration_demo_new/join_demo.py b/demo/client_demo/scripts/join_demo.py
similarity index 77%
rename from demo/client_demo/integration_demo_new/join_demo.py
rename to demo/client_demo/scripts/join_demo.py
index 490bb52ce..984d39219 100644
--- a/demo/client_demo/integration_demo_new/join_demo.py
+++ b/demo/client_demo/scripts/join_demo.py
@@ -1,7 +1,6 @@
 import logging
 
 import quickmpc
-from quickmpc.qmpc_new import QMPC
 
 if __name__ == '__main__':
     """ Step 0. loggerの設定(任意) """
@@ -11,7 +10,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc: QMPC = QMPC(
+    qmpc = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
@@ -19,8 +18,8 @@
 
     """ Step 2. シェア送信 """
     data_dir: str = "../data/"
-    df1 = qmpc.read_csv(f"{data_dir}/data1-1.csv", index_col="id")
-    df2 = qmpc.read_csv(f"{data_dir}/data1-2.csv", index_col="id")
+    df1 = qmpc.read_csv(f"{data_dir}/data-join1.csv", index_col="id")
+    df2 = qmpc.read_csv(f"{data_dir}/data-join2.csv", index_col="id")
     sdf1 = qmpc.send_to(df1)
     sdf2 = qmpc.send_to(df2)
 
diff --git a/demo/client_demo/integration_demo_new/meshcode_demo.py b/demo/client_demo/scripts/meshcode_demo.py
similarity index 92%
rename from demo/client_demo/integration_demo_new/meshcode_demo.py
rename to demo/client_demo/scripts/meshcode_demo.py
index 69ec969be..4e4310332 100644
--- a/demo/client_demo/integration_demo_new/meshcode_demo.py
+++ b/demo/client_demo/scripts/meshcode_demo.py
@@ -1,7 +1,6 @@
 import logging
 
 import quickmpc
-from quickmpc.qmpc_new import QMPC
 
 if __name__ == '__main__':
     """ Step 0. loggerの設定(任意) """
@@ -11,7 +10,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc: QMPC = QMPC(
+    qmpc = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
diff --git a/demo/client_demo/integration_demo_new/progress_demo_.py b/demo/client_demo/scripts/progress_demo.py
similarity index 93%
rename from demo/client_demo/integration_demo_new/progress_demo_.py
rename to demo/client_demo/scripts/progress_demo.py
index 33c7f0e19..8046748c2 100644
--- a/demo/client_demo/integration_demo_new/progress_demo_.py
+++ b/demo/client_demo/scripts/progress_demo.py
@@ -1,7 +1,6 @@
 import logging
 
 import quickmpc
-from quickmpc.qmpc_new import QMPC
 
 if __name__ == '__main__':
     """ Step 0. loggerの設定(任意) """
@@ -11,7 +10,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc: QMPC = QMPC(
+    qmpc = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
diff --git a/demo/client_demo/unit_demo/delete_share.py b/demo/client_demo/unit_demo/delete_share.py
deleted file mode 100644
index 64f8fb736..000000000
--- a/demo/client_demo/unit_demo/delete_share.py
+++ /dev/null
@@ -1,31 +0,0 @@
-
-
-import logging
-
-from quickmpc import QMPC, Schema, ShareValueTypeEnum
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    # 複数のシェアを作成・送信
-    data = [["key"], ["1"]]
-    data_ids = []
-    for i in range(3):
-        res = qmpc.send_share_from_csv_data(data)
-        data_ids.append(res['data_id'])
-        logger.info(res)
-
-    # シェアを削除
-    for i in range(2):
-        res = qmpc.delete_share(data_ids)
-        logger.info(res)
-        # 2 回目は失敗することを確認
-        assert res["is_ok"] == (i == 0)
diff --git a/demo/client_demo/unit_demo/demo_sharize.py b/demo/client_demo/unit_demo/demo_sharize.py
deleted file mode 100644
index db0329abf..000000000
--- a/demo/client_demo/unit_demo/demo_sharize.py
+++ /dev/null
@@ -1,35 +0,0 @@
-from quickmpc import QMPC, parse_csv
-from tabulate import tabulate
-from typing import List
-import sys
-
-
-def output_table(title: int, schema: List[str], table: List):
-    print("party"+str(title))
-    print(tabulate(
-        table,
-        headers=schema,
-        tablefmt="grid",
-        floatfmt='.11f'))
-
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    if not len(sys.argv) == 2:
-        print('Usage: $ pipenv run python demo_sharize.py [file_path]',
-              file=sys.stderr)
-        sys.exit(1)
-    # csv dataをパースする
-    filename: str = sys.argv[1]
-
-    secrets, schema = parse_csv(filename)
-    # データをシェア化する
-    res = qmpc.demo_sharize(secrets)
-    for party_id, share in enumerate(res['results']):
-        output_table(party_id + 1, [col.name for col in schema], share)
diff --git a/demo/client_demo/unit_demo/execute_computation.py b/demo/client_demo/unit_demo/execute_computation.py
deleted file mode 100644
index 1863ef420..000000000
--- a/demo/client_demo/unit_demo/execute_computation.py
+++ /dev/null
@@ -1,28 +0,0 @@
-import logging
-
-from quickmpc import QMPC
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    # data_idに対して計算のリクエストを行う
-    data_ids = [
-        "cedf69accf961f4074bd684227e7b18dbae92c3b78ee67bd5d56c8c27241ffd1",
-        "36af53bfa7bd6a19ad3fcee8531353f365bd7462f0cc3bde6979710282bb469e"
-    ]
-    res = qmpc.correl(
-        data_ids,  # 結合するdata_ids
-        (
-            [2, 3],  # 指定する列1
-            [4]  # 指定する列2(func(列1, 列2)のように計算される)
-        )
-    )
-    logger.info(res)
diff --git a/demo/client_demo/unit_demo/get_computation_result.py b/demo/client_demo/unit_demo/get_computation_result.py
deleted file mode 100644
index 8d6933f3b..000000000
--- a/demo/client_demo/unit_demo/get_computation_result.py
+++ /dev/null
@@ -1,21 +0,0 @@
-
-import logging
-
-from quickmpc import QMPC
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    # job_uuidを指定して計算結果を取得する
-    job_uuid: str = "10b6bfda-8776-4d8c-ad9a-b40fa277ff37"
-    res = qmpc.get_computation_result(job_uuid)
-    secrets = res["results"]
-    logger.info(secrets)
diff --git a/demo/client_demo/unit_demo/get_elapsed_time.py b/demo/client_demo/unit_demo/get_elapsed_time.py
deleted file mode 100644
index 4a20484b9..000000000
--- a/demo/client_demo/unit_demo/get_elapsed_time.py
+++ /dev/null
@@ -1,21 +0,0 @@
-
-import logging
-
-from quickmpc import QMPC
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    # job_uuidを指定して計算結果を取得する
-    job_uuid: str = "10b6bfda-8776-4d8c-ad9a-b40fa277ff37"
-    res = qmpc.get_elapsed_time(job_uuid)
-    elapsed_time = res["elapsed_time"]
-    logger.info(elapsed_time)
diff --git a/demo/client_demo/unit_demo/get_join_table.py b/demo/client_demo/unit_demo/get_join_table.py
deleted file mode 100644
index 3b6850282..000000000
--- a/demo/client_demo/unit_demo/get_join_table.py
+++ /dev/null
@@ -1,39 +0,0 @@
-import logging
-import time
-
-from quickmpc import QMPC, JobStatus
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-
-def send_share(filename: str):
-    res = qmpc.send_share_from_csv_file(filename)
-    return res["data_id"]
-
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    # 複数のシェアを作成・送信
-    path = "../data/"
-    data_id1: str = send_share(f"{path}/data1-1.csv")
-    data_id2: str = send_share(f"{path}/data1-2.csv")
-
-    res = qmpc.get_join_table([data_id1, data_id2])
-
-    job_uuid: str = res["job_uuid"]
-    for _ in range(100):
-        # 計算が終わるか100秒(1秒x100回)経つまで繰り返す
-        get_res = qmpc.get_computation_status(job_uuid)
-        if all([r == JobStatus.Value('COMPLETED')
-                for r in get_res["statuses"]]):
-            break
-        time.sleep(1)
-    res = qmpc.get_computation_result(job_uuid)
-    logger.info(res)
diff --git a/demo/client_demo/unit_demo/send_share.py b/demo/client_demo/unit_demo/send_share.py
deleted file mode 100644
index fbb11bfba..000000000
--- a/demo/client_demo/unit_demo/send_share.py
+++ /dev/null
@@ -1,25 +0,0 @@
-import sys
-import logging
-
-from quickmpc import QMPC
-
-logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.DEBUG)
-
-if __name__ == '__main__':
-    # QuickMPC Setting
-    qmpc: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"]
-    )
-
-    if not len(sys.argv) == 2:
-        print('Usage: $ pipenv run python send_share.py [file_path]',
-              file=sys.stderr)
-        sys.exit(1)
-
-    # データをシェア化し送信する
-    filename: str = sys.argv[1]
-    res = qmpc.send_share_from_csv_file(filename)
-    logger.info(res)

From e91850686341cd7c8ad3ed7487712170c2c1a365 Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Mon, 10 Jul 2023 18:17:54 +0900
Subject: [PATCH 3/9] Remove old libclient medium test

---
 scripts/docker-compose.medium.yml             |   5 +-
 scripts/libclient/medium_test.sh              |   2 +-
 scripts/libclient/src/benchmark/metrics.py    |  44 +++++-
 .../src/benchmark/test_statistics.py          | 141 ++++++------------
 .../libclient/src/benchmark_new/__init__.py   |   0
 .../libclient/src/benchmark_new/metrics.py    |  51 -------
 .../src/benchmark_new/test_statistics.py      |  92 ------------
 scripts/libclient/src/tests/common.py         |  10 --
 scripts/libclient/src/tests/test_correl.py    |  74 ++++-----
 .../src/tests/test_get_computation_result.py  | 132 ++++++----------
 .../src/tests/test_get_elapsed_time.py        |  50 ++-----
 .../src/tests/test_job_error_info.py          |  41 ++---
 scripts/libclient/src/tests/test_join.py      | 121 +++++++--------
 scripts/libclient/src/tests/test_mean.py      |  59 +++-----
 scripts/libclient/src/tests/test_parallel.py  | 114 +++++---------
 .../libclient/src/tests/test_send_share.py    |  39 ++---
 scripts/libclient/src/tests/test_string.py    |  19 +--
 scripts/libclient/src/tests/test_sum.py       |  59 +++-----
 scripts/libclient/src/tests/test_token.py     |  98 +++++-------
 scripts/libclient/src/tests/test_variance.py  |  65 ++++----
 scripts/libclient/src/tests_new/__init__.py   |   0
 .../libclient/src/tests_new/test_correl.py    |  41 -----
 .../tests_new/test_get_computation_result.py  |  62 --------
 .../src/tests_new/test_get_elapsed_time.py    |  18 ---
 .../src/tests_new/test_job_error_info.py      |  29 ----
 scripts/libclient/src/tests_new/test_join.py  |  81 ----------
 scripts/libclient/src/tests_new/test_mean.py  |  38 -----
 .../libclient/src/tests_new/test_parallel.py  |  64 --------
 .../src/tests_new/test_send_share.py          |  18 ---
 .../libclient/src/tests_new/test_string.py    |  56 -------
 scripts/libclient/src/tests_new/test_sum.py   |  38 -----
 scripts/libclient/src/tests_new/test_token.py |  49 ------
 .../libclient/src/tests_new/test_variance.py  |  43 ------
 scripts/libclient/src/utils.py                |  49 +-----
 34 files changed, 398 insertions(+), 1404 deletions(-)
 delete mode 100644 scripts/libclient/src/benchmark_new/__init__.py
 delete mode 100644 scripts/libclient/src/benchmark_new/metrics.py
 delete mode 100644 scripts/libclient/src/benchmark_new/test_statistics.py
 delete mode 100644 scripts/libclient/src/tests/common.py
 delete mode 100644 scripts/libclient/src/tests_new/__init__.py
 delete mode 100644 scripts/libclient/src/tests_new/test_correl.py
 delete mode 100644 scripts/libclient/src/tests_new/test_get_computation_result.py
 delete mode 100644 scripts/libclient/src/tests_new/test_get_elapsed_time.py
 delete mode 100644 scripts/libclient/src/tests_new/test_job_error_info.py
 delete mode 100644 scripts/libclient/src/tests_new/test_join.py
 delete mode 100644 scripts/libclient/src/tests_new/test_mean.py
 delete mode 100644 scripts/libclient/src/tests_new/test_parallel.py
 delete mode 100644 scripts/libclient/src/tests_new/test_send_share.py
 delete mode 100644 scripts/libclient/src/tests_new/test_string.py
 delete mode 100644 scripts/libclient/src/tests_new/test_sum.py
 delete mode 100644 scripts/libclient/src/tests_new/test_token.py
 delete mode 100644 scripts/libclient/src/tests_new/test_variance.py

diff --git a/scripts/docker-compose.medium.yml b/scripts/docker-compose.medium.yml
index ab0b800e1..1d167154a 100644
--- a/scripts/docker-compose.medium.yml
+++ b/scripts/docker-compose.medium.yml
@@ -223,8 +223,5 @@ services:
       - target: /libclient/src
         source: ./libclient/src
         type: bind
-    command:
-      - /bin/bash
-      - '-c'
-      - pip list
+    tty: true
     network_mode: host
diff --git a/scripts/libclient/medium_test.sh b/scripts/libclient/medium_test.sh
index a4cd8c9fd..6ef2225fe 100644
--- a/scripts/libclient/medium_test.sh
+++ b/scripts/libclient/medium_test.sh
@@ -14,7 +14,7 @@ setup() {
 # run処理を記述する関数
 # NOTE: この関数は例外的にワンライナーで書かなくて良い
 run() {
-    docker-compose $COMPOSE_FILES_OPT run medium-libc pytest src/tests -s -v -log-cli-level=DEBUG
+    docker-compose $COMPOSE_FILES_OPT up medium-libc
 }
 
 # runの後に実行されるteardown処理を記述する関数
diff --git a/scripts/libclient/src/benchmark/metrics.py b/scripts/libclient/src/benchmark/metrics.py
index af2d45335..f3b318693 100644
--- a/scripts/libclient/src/benchmark/metrics.py
+++ b/scripts/libclient/src/benchmark/metrics.py
@@ -1,17 +1,51 @@
 import dataclasses
 import time
 
+import pytest
+from tabulate import tabulate
 
-@dataclasses.dataclass
-class PrintTime:
 
-    __name: str
+@dataclasses.dataclass
+class Timer:
     __start: float = dataclasses.field(init=False)
+    __elapsed_time: float = dataclasses.field(init=False)
 
     def __enter__(self):
         self.__start = time.time()
         return self
 
     def __exit__(self, exc_type, exc_value, traceback):
-        self.elapsed_time = time.time() - self.__start
-        print(f"{self.__name}: {self.elapsed_time} ms")
+        self.__elapsed_time = time.time() - self.__start
+
+    def elapsed_time(self):
+        return self.__elapsed_time
+
+
+@dataclasses.dataclass
+class ElapsedTimeDict:
+    __elapsed_time_dict: dict = dataclasses.field(default_factory=dict)
+
+    def save_elapsed_time(self, elapsed_time: float, name: str, path: str):
+        if (path, name) in self.__elapsed_time_dict:
+            self.__elapsed_time_dict[(path, name)] = max(
+                self.__elapsed_time_dict[(path, name)], elapsed_time)
+        else:
+            self.__elapsed_time_dict[(path, name)] = elapsed_time
+
+    def print(self):
+        headers = ["path", "job", "elapsed_time[s]", "elapsed_time[m]"]
+        data = []
+        for key, elapsed_time_s in self.__elapsed_time_dict.items():
+            elapsed_time_m = elapsed_time_s / 60
+            data.append([*key, elapsed_time_s, elapsed_time_m])
+        data.sort()
+        print("\n"+tabulate(data, headers=headers, tablefmt='fancy_grid'))
+
+
+@pytest.fixture(scope='module')
+def print_elapsed_time():
+    et_dict = ElapsedTimeDict()
+    # テスト内で計測結果を記録
+    yield et_dict.save_elapsed_time
+    # 計測結果出力
+    et_dict.print()
diff --git a/scripts/libclient/src/benchmark/test_statistics.py b/scripts/libclient/src/benchmark/test_statistics.py
index 783470dca..985e494ad 100644
--- a/scripts/libclient/src/benchmark/test_statistics.py
+++ b/scripts/libclient/src/benchmark/test_statistics.py
@@ -1,46 +1,9 @@
-import math
-import csv
-import time
 import os
-from tabulate import tabulate
 
-import numpy as np
 import pytest
-from utils import get_result, qmpc
-
-from benchmark.metrics import PrintTime
-
-
-elapsed_time_dict: dict = {}
-def save_elapsed_time(job_uuid, job_name, path):
-    res = qmpc.get_elapsed_time(job_uuid)
-    assert (res["is_ok"])
-    if (path, job_name) in elapsed_time_dict:
-        elapsed_time_dict[(path, job_name)] = max(elapsed_time_dict[(path, job_name)], res["elapsed_time"])
-    else:
-        elapsed_time_dict[(path, job_name)] = res["elapsed_time"]
-
-
-@pytest.fixture(scope="module")
-def get_data_id():
-    val: dict = {}
-
-    def get(path: str):
-        if path in val:
-            return val[path]
-        with PrintTime("send_share") as pt:
-            res = qmpc.send_share_from_csv_file(path)
-        elapsed_time_dict[(path, "send_share")] = pt.elapsed_time
-        assert (res["is_ok"])
-        data_id: str = res["data_id"]
-        with open(path) as f:
-            reader = csv.reader(f)
-            row = next(reader)
-            schema_size: int = len(row)
-        val[path] = (data_id, schema_size)
-        return val[path]
-    return lambda path: get(path)
+from utils import qmpc
 
+from benchmark.metrics import Timer, print_elapsed_time
 
 # types: (iterate_num, path)
 # testに使うファイルを指定
@@ -53,91 +16,77 @@ def get(path: str):
 else:
     # localで実行する場合にはここにデータを追加する
     test_parameters = [
-        (10, "data/table_data_10x10.csv"),
-        (10, "data/table_data_100x10.csv"),
+        (3, "data/table_data_10x10.csv"),
+        (3, "data/table_data_100x10.csv"),
     ]
 
 
+@pytest.fixture(scope="module")
+def get_sdf(print_elapsed_time):
+    sdf_dict: dict = {}
+
+    def get(path: str):
+        if path in sdf_dict:
+            return sdf_dict[path]
+        df = qmpc.read_csv(path, index_col="id")
+        with Timer() as tm:
+            sdf = qmpc.send_to(df)
+        print_elapsed_time(tm.elapsed_time(), "send_share", path)
+        sdf_dict[path] = (sdf, len(df.columns))
+        return sdf_dict[path]
+    return lambda path: get(path)
+
+
 @pytest.mark.parametrize(
     ("iterate_num", "path"), test_parameters
 )
-def test_mean(iterate_num: int, path: int, get_data_id):
-    data_id, _ = get_data_id(path)
+def test_mean(iterate_num: int, path: int,
+              get_sdf, print_elapsed_time):
     for _ in range(iterate_num):
-        # table情報と列指定情報を定義して計算
-        inp = [2]
-        with PrintTime("mean"):
-            response = qmpc.mean([data_id], inp)
-            res = get_result(response, limit=10000)
-        assert (res["is_ok"])
-        save_elapsed_time(response["job_uuid"], "mean", path)
+        sdf, _ = get_sdf(path)
+        print_elapsed_time(sdf.mean([2]).get_elapsed_time(),
+                           "mean", path)
 
 
 @pytest.mark.parametrize(
     ("iterate_num", "path"), test_parameters
 )
-def test_sum(iterate_num: int, path: int, get_data_id):
-    data_id, _ = get_data_id(path)
+def test_sum(iterate_num: int, path: int,
+             get_sdf, print_elapsed_time):
     for _ in range(iterate_num):
-        # table情報と列指定情報を定義して計算
-        inp = [2]
-        with PrintTime("sum"):
-            response = qmpc.sum([data_id], inp)
-            res = get_result(response, limit=10000)
-        assert (res["is_ok"])
-        save_elapsed_time(response["job_uuid"], "sum", path)
+        sdf, _ = get_sdf(path)
+        print_elapsed_time(sdf.sum([2]).get_elapsed_time(),
+                           "sum", path)
 
 
 @pytest.mark.parametrize(
     ("iterate_num", "path"), test_parameters
 )
-def test_variance(iterate_num: int, path: int, get_data_id):
-    data_id, _ = get_data_id(path)
+def test_variance(iterate_num: int, path: int,
+                  get_sdf, print_elapsed_time):
     for _ in range(iterate_num):
-        # table情報と列指定情報を定義して計算
-        inp = [2]
-        with PrintTime("variance"):
-            response = qmpc.variance([data_id], inp)
-            res = get_result(response, limit=10000)
-        assert (res["is_ok"])
-        save_elapsed_time(response["job_uuid"], "variance", path)
+        sdf, _ = get_sdf(path)
+        print_elapsed_time(sdf.variance([2]).get_elapsed_time(),
+                           "variance", path)
 
 
 @pytest.mark.parametrize(
     ("iterate_num", "path"), test_parameters
 )
-def test_correl(iterate_num: int, path: int, get_data_id):
-    data_id, schema_size = get_data_id(path)
+def test_correl(iterate_num: int, path: int,
+                get_sdf, print_elapsed_time):
     for _ in range(iterate_num):
-        # table情報と列指定情報を定義して計算
-        inp = ([2], [schema_size])
-        with PrintTime("correl"):
-            response = qmpc.correl([data_id], inp)
-            res = get_result(response, limit=10000)
-        assert (res["is_ok"])
-        save_elapsed_time(response["job_uuid"], "correl", path)
+        sdf, schema_size = get_sdf(path)
+        print_elapsed_time(sdf.correl([2], [schema_size]).get_elapsed_time(),
+                           "correl", path)
 
 
 @pytest.mark.parametrize(
     ("iterate_num", "path"), test_parameters
 )
-def test_hjoin(iterate_num: int, path: int, get_data_id):
-    data_id, _ = get_data_id(path)
+def test_hjoin(iterate_num: int, path: int,
+               get_sdf, print_elapsed_time):
     for _ in range(iterate_num):
-        # table情報を定義して計算
-        with PrintTime("hjoin"):
-            response = qmpc.get_join_table([data_id, data_id])
-            res = get_result(response, limit=10000)
-        assert (res["is_ok"])
-        save_elapsed_time(response["job_uuid"], "hjoin", path)
-
-
-def test_print_result():
-    headers = [ "path", "job", "elapsed_time[s]", "elapsed_time[m]"]
-    data = []
-    for key in elapsed_time_dict:
-        elapsed_time_s = elapsed_time_dict[key]
-        elapsed_time_m = elapsed_time_s / 60
-        data.append([*key, elapsed_time_s, elapsed_time_m])
-    data.sort()
-    print("\n"+tabulate(data, headers=headers, tablefmt='fancy_grid'))
+        sdf, schema_size = get_sdf(path)
+        print_elapsed_time(sdf.join(sdf).get_elapsed_time(),
+                           "hjoin", path)
diff --git a/scripts/libclient/src/benchmark_new/__init__.py b/scripts/libclient/src/benchmark_new/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/scripts/libclient/src/benchmark_new/metrics.py b/scripts/libclient/src/benchmark_new/metrics.py
deleted file mode 100644
index f3b318693..000000000
--- a/scripts/libclient/src/benchmark_new/metrics.py
+++ /dev/null
@@ -1,51 +0,0 @@
-import dataclasses
-import time
-
-import pytest
-from tabulate import tabulate
-
-
-@dataclasses.dataclass
-class Timer:
-    __start: float = dataclasses.field(init=False)
-    __elapsed_time: float = dataclasses.field(init=False)
-
-    def __enter__(self):
-        self.__start = time.time()
-        return self
-
-    def __exit__(self, exc_type, exc_value, traceback):
-        self.__elapsed_time = time.time() - self.__start
-
-    def elapsed_time(self):
-        return self.__elapsed_time
-
-
-@dataclasses.dataclass
-class ElapsedTimeDict:
-    __elapsed_time_dict: dict = dataclasses.field(default_factory=dict)
-
-    def save_elapsed_time(self, elapsed_time: float, name: str, path: str):
-        if (path, name) in self.__elapsed_time_dict:
-            self.__elapsed_time_dict[(path, name)] = max(
-                self.__elapsed_time_dict[(path, name)], elapsed_time)
-        else:
-            self.__elapsed_time_dict[(path, name)] = elapsed_time
-
-    def print(self):
-        headers = ["path", "job", "elapsed_time[s]", "elapsed_time[m]"]
-        data = []
-        for key, elapsed_time_s in self.__elapsed_time_dict.items():
-            elapsed_time_m = elapsed_time_s / 60
-            data.append([*key, elapsed_time_s, elapsed_time_m])
-        data.sort()
-        print("\n"+tabulate(data, headers=headers, tablefmt='fancy_grid'))
-
-
-@pytest.fixture(scope='module')
-def print_elapsed_time():
-    et_dict = ElapsedTimeDict()
-    # テスト内で計測結果を記録
-    yield et_dict.save_elapsed_time
-    # 計測結果出力
-    et_dict.print()
diff --git a/scripts/libclient/src/benchmark_new/test_statistics.py b/scripts/libclient/src/benchmark_new/test_statistics.py
deleted file mode 100644
index 5a94392e6..000000000
--- a/scripts/libclient/src/benchmark_new/test_statistics.py
+++ /dev/null
@@ -1,92 +0,0 @@
-import os
-
-import pytest
-from utils import qmpc_new
-
-from benchmark_new.metrics import Timer, print_elapsed_time
-
-# types: (iterate_num, path)
-# testに使うファイルを指定
-is_ci_benchmark = os.getenv("IS_CI_BENCHMARK")
-if is_ci_benchmark:
-    # CIでbenchmarkを実行する場合
-    test_parameters = [
-        (1, "data/data_10m.csv")
-    ]
-else:
-    # localで実行する場合にはここにデータを追加する
-    test_parameters = [
-        (3, "data/table_data_10x10.csv"),
-        (3, "data/table_data_100x10.csv"),
-    ]
-
-
-@pytest.fixture(scope="module")
-def get_sdf(print_elapsed_time):
-    sdf_dict: dict = {}
-
-    def get(path: str):
-        if path in sdf_dict:
-            return sdf_dict[path]
-        df = qmpc_new.read_csv(path, index_col="id")
-        with Timer() as tm:
-            sdf = qmpc_new.send_to(df)
-        print_elapsed_time(tm.elapsed_time(), "send_share", path)
-        sdf_dict[path] = (sdf, len(df.columns))
-        return sdf_dict[path]
-    return lambda path: get(path)
-
-
-@pytest.mark.parametrize(
-    ("iterate_num", "path"), test_parameters
-)
-def test_mean(iterate_num: int, path: int,
-              get_sdf, print_elapsed_time):
-    for _ in range(iterate_num):
-        sdf, _ = get_sdf(path)
-        print_elapsed_time(sdf.mean([2]).get_elapsed_time(),
-                           "mean", path)
-
-
-@pytest.mark.parametrize(
-    ("iterate_num", "path"), test_parameters
-)
-def test_sum(iterate_num: int, path: int,
-             get_sdf, print_elapsed_time):
-    for _ in range(iterate_num):
-        sdf, _ = get_sdf(path)
-        print_elapsed_time(sdf.sum([2]).get_elapsed_time(),
-                           "sum", path)
-
-
-@pytest.mark.parametrize(
-    ("iterate_num", "path"), test_parameters
-)
-def test_variance(iterate_num: int, path: int,
-                  get_sdf, print_elapsed_time):
-    for _ in range(iterate_num):
-        sdf, _ = get_sdf(path)
-        print_elapsed_time(sdf.variance([2]).get_elapsed_time(),
-                           "variance", path)
-
-
-@pytest.mark.parametrize(
-    ("iterate_num", "path"), test_parameters
-)
-def test_correl(iterate_num: int, path: int,
-                get_sdf, print_elapsed_time):
-    for _ in range(iterate_num):
-        sdf, schema_size = get_sdf(path)
-        print_elapsed_time(sdf.correl([2], [schema_size]).get_elapsed_time(),
-                           "correl", path)
-
-
-@pytest.mark.parametrize(
-    ("iterate_num", "path"), test_parameters
-)
-def test_hjoin(iterate_num: int, path: int,
-               get_sdf, print_elapsed_time):
-    for _ in range(iterate_num):
-        sdf, schema_size = get_sdf(path)
-        print_elapsed_time(sdf.join(sdf).get_elapsed_time(),
-                           "hjoin", path)
diff --git a/scripts/libclient/src/tests/common.py b/scripts/libclient/src/tests/common.py
deleted file mode 100644
index d5f2459ff..000000000
--- a/scripts/libclient/src/tests/common.py
+++ /dev/null
@@ -1,10 +0,0 @@
-
-from utils import qmpc
-
-
-def data_id(secrets, schema=None):
-    schema = schema if schema else [f"s{i}" for i in range(len(secrets[0]))]
-    data = [schema] + secrets
-    res_send = qmpc.send_share_from_csv_data(data)
-    assert (res_send["is_ok"])
-    return res_send["data_id"]
diff --git a/scripts/libclient/src/tests/test_correl.py b/scripts/libclient/src/tests/test_correl.py
index fca849ae8..4a19fc9ce 100644
--- a/scripts/libclient/src/tests/test_correl.py
+++ b/scripts/libclient/src/tests/test_correl.py
@@ -1,57 +1,41 @@
-import math
-
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 7, 10], [2, 9, 3]])],
-                              src=[1, 2],
-                              target=[3]):
-    return (dataIds, (src, target))
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df", "columns1", "columns2",  "expected"),
     [
         # usually case
-        (execute_computation_param(),
-         [[0.94491118, 0.24019223]]),
+        (pd.DataFrame([[1, 2, 3], [4, 7, 10], [2, 9, 3]],
+                      columns=["s1", "s2", "s3"]),
+         [1, 2], [3],
+         pd.DataFrame([[0.94491118, 0.24019223]])),
+
 
         # large data case
-        (execute_computation_param(dataIds=[data_id([[10**9, 10**9+5],
-                                                     [10**9+10, 10**9+10]])],
-                                   src=[1],
-                                   target=[2]),
-            [[1, 1]]),
+        (pd.DataFrame([[10**9, 10**9+5], [10**9+10, 10**9+10]],
+                      columns=["s1", "s2"]),
+         [1], [2],
+         pd.DataFrame([[1.0]])),
 
         # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-9, 10**-9+5],
-                                                     [10**-9+10, 10**-9+10]])],
-                                   src=[1],
-                                   target=[2]),
-            [[1, 1]]),
-
-        # duplicated src, target case
-        (execute_computation_param(src=[2, 3, 3],
-                                   target=[1, 1, 3]),
-         [[0.54470478, 0.94491118, 0.94491118],
-          [0.54470478, 0.94491118, 0.94491118],
-            [0.24019223, 1, 1]]),
-
-        # empty src case
-        (execute_computation_param(src=[]),
-         [[]]),
+        (pd.DataFrame([[10**-9, 10**-9+5], [10**-9+10, 10**-9+10]],
+                      columns=["s1", "s2"]),
+         [1], [2],
+         pd.DataFrame([[1.0]])),
+
+        # duplicated src case
+        (pd.DataFrame([[1, 2, 3], [4, 7, 10], [2, 9, 3]],
+                      columns=["s1", "s2", "s3"]),
+         [2, 3, 3], [1, 1, 3],
+         pd.DataFrame([[0.54470478, 0.94491118, 0.94491118],
+                       [0.54470478, 0.94491118, 0.94491118],
+                       [0.24019223, 1.0, 1.0]])),
     ]
 )
-def test_correl(param: tuple, expected: list):
-
-    # 相関係数計算リクエスト送信
-    res = get_result(qmpc.correl(*param))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for xl, yl in zip(res["results"], expected):
-        for x, y in zip(xl, yl):
-            assert (math.isclose(x, y, abs_tol=0.1))
+def test_correl(df: pd.DataFrame, columns1: list, columns2: list,
+                expected: pd.DataFrame):
+    sdf = qmpc.send_to(df)
+    result = sdf.correl(columns1, columns2).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_get_computation_result.py b/scripts/libclient/src/tests/test_get_computation_result.py
index 5300de212..eb84f1420 100644
--- a/scripts/libclient/src/tests/test_get_computation_result.py
+++ b/scripts/libclient/src/tests/test_get_computation_result.py
@@ -1,110 +1,62 @@
-import math
 import os
-import time
+import shutil
+from typing import Callable
 
+import pandas as pd
 import pytest
-from quickmpc import JobStatus
-from utils import get_result, qmpc
+from utils import qmpc
 
-from tests.common import data_id
 
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 5, 6]])],
-                              src=[1, 2, 3]):
-    return (dataIds, src)
+@pytest.fixture(scope="module")
+def sdf():
+    return qmpc.send_to(pd.DataFrame([[1, 2], [3, 4]],
+                                     columns=["s1", "s2"]))
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("method", "args", "expected"),
     [
-        # usually case
-        (execute_computation_param(),
-         [5, 7, 9]),
-
-        # small table size case
-        (execute_computation_param(dataIds=[data_id([[1]])],
-                                   src=[1]),
-         [1]),
-
-        # large data case
-        (execute_computation_param(dataIds=[data_id([[10**18], [10**18]])],
-                                   src=[1]),
-            [2*10**18]),
-
-        # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-10], [10**-10]])],
-                                   src=[1]),
-            [2*10**-10]),
-
-        # duplicated src case
-        (execute_computation_param(src=[1, 2, 2, 3, 3, 3]),
-         [5, 7, 7, 9, 9, 9]),
+        # 1次元結果の取得
+        ("sum", ([1, 2],),
+         pd.DataFrame([4.0, 6.0])),
+        # 2次元結果の取得
+        ("correl", ([1, 2], [1, 2]),
+         pd.DataFrame([[1.0, 1.0], [1.0, 1.0]])),
+        # テーブルデータの取得
+        ("join", ([],),
+         pd.DataFrame([[2.0], [4.0]], columns=["s2"])),
     ]
 )
-def test_get_computation_result(param: tuple, expected: list):
-    # 総和計算リクエスト送信
-    res = qmpc.sum(*param)
-    assert (res["is_ok"])
-    for i in range(10000):
-        time.sleep(i+1)
-        get_res = qmpc.get_computation_result(res["job_uuid"])
-        assert (get_res["is_ok"])
-
-        if get_res["results"] is None:
-            continue
-        # 正しく取得できたか確認
-        for x, y in zip(get_res["results"][0], expected):
-            assert (math.isclose(x, y, abs_tol=0.1))
-        break
+def test_to_data_frame(method: str, args: dict, expected: pd.DataFrame,
+                       sdf):
+    result = getattr(sdf, method)(*args).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("method", "args", "expected"),
     [
-        # usually case
-        (execute_computation_param(),
-         [5, 7, 9]),
-
-        # small table size case
-        (execute_computation_param(dataIds=[data_id([[1]])],
-                                   src=[1]),
-         [1]),
-
-        # large data case
-        (execute_computation_param(dataIds=[data_id([[10**18], [10**18]])],
-                                   src=[1]),
-            [2*10**18]),
-
-        # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-10], [10**-10]])],
-                                   src=[1]),
-            [2*10**-10]),
-
-        # duplicated src case
-        (execute_computation_param(src=[1, 2, 2, 3, 3, 3]),
-         [5, 7, 7, 9, 9, 9]),
+        # 1次元結果の取得
+        ("sum", ([1, 2],),
+         pd.DataFrame([4.0, 6.0])),
+        # 2次元結果の取得
+        ("correl", ([1, 2], [1, 2]),
+         pd.DataFrame([[1.0, 1.0], [1.0, 1.0]])),
+        # テーブルデータの取得
+        ("join", ([],),
+         pd.DataFrame([[2.0], [4.0]], columns=["s2"])),
     ]
 )
-def test_restore(param: tuple, expected: list):
+def test_restore(method: str, args: dict, expected: pd.DataFrame,
+                 sdf):
     path = "./result"
-    if not os.path.isdir(path):
-        os.mkdir(path)
+    if os.path.isdir(path):
+        shutil.rmtree(path)
+    os.mkdir(path)
 
-    res = qmpc.sum(*param)
-    assert (res["is_ok"])
-    for i in range(10000):
-        time.sleep(i+1)
-        res_status = qmpc.get_computation_status(res["job_uuid"])
-        assert (res_status["is_ok"])
-        all_completed = all([status == JobStatus.COMPLETED
-                             for status in res_status["statuses"]])
-        if not all_completed:
-            continue
+    sdf_result = getattr(sdf, method)(*args)
+    sdf_result.to_csv(path)
+    result = qmpc.restore(sdf_result.get_id(), path, 3)
+    pd.testing.assert_frame_equal(result, expected)
 
-        get_res = qmpc.get_computation_result(res["job_uuid"], path)
-        assert (get_res["is_ok"])
-        res = qmpc.restore(res["job_uuid"], path)
-        # 正しく取得できたか確認
-        for x, y in zip(res, expected):
-            assert (math.isclose(x, y, abs_tol=0.1))
-        break
+    shutil.rmtree(path)
diff --git a/scripts/libclient/src/tests/test_get_elapsed_time.py b/scripts/libclient/src/tests/test_get_elapsed_time.py
index 364bd5a93..905183904 100644
--- a/scripts/libclient/src/tests/test_get_elapsed_time.py
+++ b/scripts/libclient/src/tests/test_get_elapsed_time.py
@@ -1,46 +1,18 @@
+import pandas as pd
 import pytest
-from quickmpc import parse
-from utils import get_result, qmpc
-
-
-# tableデータを送信してdata_idとtable dataを得る
-def send_share(filename: str) -> str:
-    # データをシェア化し送信する
-    send_res = qmpc.send_share_from_csv_file(filename)
-    assert (send_res["is_ok"])
-    return send_res["data_id"]
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("table_file"),
+    ("size"),
     [
-        # NOTE: テスト時間が長くなるためテストケースを一部省略
-        ("table_data_5x5"),
-        # ("table_data_10x10"),
-        # ("table_data_100x10"),
-        # ("table_data_1000x10"),
-        # ("table_data_10000x10"),
-        ("table_data_100x100"),
+        (1), (10), (100), (1000),
     ]
 )
-def test_get_elapsed_time(table_file: str):
-    filename = f"data/{table_file}.csv"
-
-    # share送信
-    data_id = send_share(filename)
-
-    # table情報と列指定情報を定義して計算
-    secrets, schema = parse(filename)
-    length = len(secrets[0])
-    inp = [i for i in range(2, length+1)]
-
-    response = qmpc.sum([data_id], inp)
-    res = get_result(response)
-    assert (res["is_ok"])
-    job_uuid = response["job_uuid"]
-
-    res = qmpc.get_elapsed_time(job_uuid)
-    assert (res["is_ok"])
-
-    # 冪等性のために消しておく
-    qmpc.delete_share([data_id])
+def test_sum(size: int):
+    df = pd.DataFrame([[1, 2, 3] for _ in range(size)],
+                      columns=["s1", "s2", "s3"])
+    sdf = qmpc.send_to(df)
+    sdf_res = sdf.sum([1, 2, 3])
+    tm = sdf_res.get_elapsed_time()
+    assert tm is not None
diff --git a/scripts/libclient/src/tests/test_job_error_info.py b/scripts/libclient/src/tests/test_job_error_info.py
index 152b92ecc..71e59be19 100644
--- a/scripts/libclient/src/tests/test_job_error_info.py
+++ b/scripts/libclient/src/tests/test_job_error_info.py
@@ -1,43 +1,28 @@
-import time
-
+import pandas as pd
 import pytest
-from quickmpc import QMPC, JobErrorInfo, JobStatus
 from quickmpc.exception import QMPCJobError
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 5, 6]])],
-                              src=[1, 2, 3]):
-    return (dataIds, src)
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param"),
+    ("column"),
     [
         # column index is outside left of range
-        execute_computation_param(src=[0]),
+        (0),
 
         # column index is outside right of range
-        execute_computation_param(src=[4]),
+        (3),
     ]
 )
-def test_job_error_info(param: tuple):
+def test_job_error_info(column: int):
+    sdf = qmpc.send_to(pd.DataFrame([[1, 2], [3, 4]],
+                                    columns=["s1", "s2"]))
+
     err_info = None
-    res = qmpc.sum(*param)
-    job_uuid = res["job_uuid"]
-    for retry in range(10):
-        res = qmpc.get_computation_status(job_uuid)
-        error = any([status == JobStatus.ERROR
-                     for status in res["statuses"]])
-        if error:
-            res = qmpc.get_job_error_info(job_uuid)
-            for info in res["job_error_info"]:
-                if info:
-                    err_info = info
-            break
-        time.sleep(5)
+    try:
+        sdf.sum([column]).to_data_frame()
+    except QMPCJobError as e:
+        err_info = e.err_info
 
     assert (err_info is not None)
     assert (err_info.what != '')
diff --git a/scripts/libclient/src/tests/test_join.py b/scripts/libclient/src/tests/test_join.py
index d70ac9baf..8d2f9a4ad 100644
--- a/scripts/libclient/src/tests/test_join.py
+++ b/scripts/libclient/src/tests/test_join.py
@@ -1,98 +1,81 @@
-import math
-
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1000, 1, 2], [1001, 1, 2]],
-                                               ["id", "s1", "s2"]),
-                                       data_id([[1000, 1, 2], [1002, 1, 2]],
-                                               ["id", "s1", "s3"])]):
-
-    return (dataIds, )
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df1", "df2", "expected"),
     [
-        # not share join case
-        (execute_computation_param(),
-         [[1, 2, 1, 2]]),
+        # usually case
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[10, 3, 4], [12, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([[1.0, 2.0, 3.0, 4.0]],
+                      columns=["s1", "s2", "s3", "s4"])),
 
         # all match case
-        (execute_computation_param(dataIds=[data_id([[1000, 1, 2], [1001, 3, 4]],
-                                                    ["id", "s1", "s2"]),
-                                            data_id([[1000, 1, 2], [1001, 3, 4]],
-                                                    ["id", "s3", "s4"])]),
-            [[1, 2, 1, 2], [3, 4, 3, 4]]),
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[10, 3, 4], [11, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([[1.0, 2.0, 3.0, 4.0], [1.0, 2.0, 3.0, 4.0]],
+                      columns=["s1", "s2", "s3", "s4"])),
 
         # not match case
-        (execute_computation_param(dataIds=[data_id([[1000, 1, 2]], ["id", "s1", "s2"]),
-                                            data_id([[1001, 1, 2]], ["id", "s3", "s4"])]),
-            [[]]),
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[20, 3, 4], [21, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([], columns=["s1", "s2", "s3", "s4"])),
 
         # empty table case
-        (execute_computation_param(dataIds=[data_id([[1000]], ["id"]),
-                                            data_id([[1000]], ["id"])]),
-         [[]]),
+        (pd.DataFrame([[10]], columns=["id"]),
+         pd.DataFrame([[10]], columns=["id"]),
+         pd.DataFrame([], columns=[])),
 
         # large table case
-        (execute_computation_param(dataIds=[data_id([[id, 1] for id in range(1000)], ["id", "s1"]),
-                                            data_id([[id, 2] for id in range(1000)], ["id", "s2"])], ),
-         [[1, 2]for _ in range(1000)]),
+        (pd.DataFrame([[id, 1] for id in range(1000)], columns=["id", "s1"]),
+         pd.DataFrame([[id, 2] for id in range(1000)], columns=["id", "s2"]),
+         pd.DataFrame([[1.0, 2.0] for id in range(1000)], columns=["s1", "s2"])),
     ]
 )
-def test_hjoin(param: tuple, expected: list):
-
-    # 非Shareの横結合リクエスト送信
-    res = get_result(qmpc.get_join_table(*param, debug_mode=True))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for xl, yl in zip(res["results"]["table"], expected):
-        for x, y in zip(xl, yl):
-            assert (math.isclose(x, y, abs_tol=0.1))
+def test_hjoin(df1: pd.DataFrame, df2: pd.DataFrame, expected: pd.DataFrame):
+    sdf1 = qmpc.send_to(df1)
+    sdf2 = qmpc.send_to(df2)
+    result = sdf1.join(sdf2, debug_mode=True).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df1", "df2", "expected"),
     [
-        # not share join case
-        (execute_computation_param(),
-         [[1, 2, 1, 2]]),
+        # usually case
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[10, 3, 4], [12, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([[1.0, 2.0, 3.0, 4.0]],
+                      columns=["s1", "s2", "s3", "s4"])),
 
         # all match case
-        (execute_computation_param(dataIds=[data_id([[1000, 1, 2], [1001, 3, 4]],
-                                                    ["id", "s1", "s2"]),
-                                            data_id([[1000, 1, 2], [1001, 3, 4]],
-                                                    ["id", "s3", "s4"])]),
-            [[1, 2, 1, 2], [3, 4, 3, 4]]),
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[10, 3, 4], [11, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([[1.0, 2.0, 3.0, 4.0], [1.0, 2.0, 3.0, 4.0]],
+                      columns=["s1", "s2", "s3", "s4"])),
 
         # not match case
-        (execute_computation_param(dataIds=[data_id([[1000, 1, 2]], ["id", "s1", "s2"]),
-                                            data_id([[1001, 1, 2]], ["id", "s3", "s4"])]),
-            [[]]),
+        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
+         pd.DataFrame([[20, 3, 4], [21, 3, 4]], columns=["id", "s3", "s4"]),
+         pd.DataFrame([], columns=["s1", "s2", "s3", "s4"])),
 
         # empty table case
-        (execute_computation_param(dataIds=[data_id([[1000]], ["id"]),
-                                            data_id([[1000]], ["id"])]),
-         [[]]),
+        (pd.DataFrame([[10]], columns=["id"]),
+         pd.DataFrame([[10]], columns=["id"]),
+         pd.DataFrame([], columns=[])),
 
         # large table case
-        (execute_computation_param(dataIds=[data_id([[id, 1] for id in range(1000)], ["id", "s1"]),
-                                            data_id([[id, 2] for id in range(1000)], ["id", "s2"])], ),
-         [[1, 2]for _ in range(1000)]),
+        (pd.DataFrame([[id, 1] for id in range(1000)], columns=["id", "s1"]),
+         pd.DataFrame([[id, 2] for id in range(1000)], columns=["id", "s2"]),
+         pd.DataFrame([[1.0, 2.0] for id in range(1000)],
+                      columns=["s1", "s2"])),
     ]
 )
-def test_hjoin_share(param: tuple, expected: list):
-
-    # Shareの横結合リクエスト送信
-    res = get_result(qmpc.get_join_table(*param))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for xl, yl in zip(res["results"]["table"], expected):
-        for x, y in zip(xl, yl):
-            assert (math.isclose(x, y, abs_tol=0.1))
+def test_hjoin_share(df1: pd.DataFrame, df2: pd.DataFrame,
+                     expected: pd.DataFrame):
+    sdf1 = qmpc.send_to(df1)
+    sdf2 = qmpc.send_to(df2)
+    result = sdf1.join(sdf2).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_mean.py b/scripts/libclient/src/tests/test_mean.py
index 0177ba371..cf7a48e66 100644
--- a/scripts/libclient/src/tests/test_mean.py
+++ b/scripts/libclient/src/tests/test_mean.py
@@ -1,53 +1,38 @@
-import math
-
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 5, 6]])],
-                              src=[1, 2, 3]):
-    return (dataIds, src)
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df", "columns", "expected"),
     [
         # usually case
-        (execute_computation_param(),
-         [2.5, 3.5, 4.5]),
+        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
+         [1, 2, 3],
+         pd.DataFrame([2.5, 3.5, 4.5])),
 
         # small table size case
-        (execute_computation_param(dataIds=[data_id([[1]])],
-                                   src=[1]),
-         [1]),
+        (pd.DataFrame([[1]], columns=["s1"]),
+         [1],
+         pd.DataFrame([1.0])),
 
         # large data case
-        (execute_computation_param(dataIds=[data_id([[10**18], [10**18+10]])],
-                                   src=[1]),
-            [10**18+5]),
+        (pd.DataFrame([[10**18], [10**18+10]], columns=["s1"]),
+         [1],
+         pd.DataFrame([10.0**18+5])),
 
         # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-10], [10**-10+10]])],
-                                   src=[1]),
-            [10**-10+5]),
+        (pd.DataFrame([[10**-10], [10**-10+10]], columns=["s1"]),
+         [1],
+         pd.DataFrame([10.0**-10+5])),
 
         # duplicated src case
-        (execute_computation_param(src=[1, 2, 2, 3, 3, 3]),
-         [2.5, 3.5, 3.5, 4.5, 4.5, 4.5]),
-
-        # empty src case
-        (execute_computation_param(src=[]),
-         []),
+        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
+         [1, 2, 2, 3, 3, 3],
+         pd.DataFrame([2.5, 3.5, 3.5, 4.5, 4.5, 4.5])),
     ]
 )
-def test_mean(param: tuple, expected: list):
-
-    # 平均計算リクエスト送信
-    res = get_result(qmpc.mean(*param))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for x, y in zip(res["results"], expected):
-        assert (math.isclose(x, y, abs_tol=0.1))
+def test_mean(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
+    sdf = qmpc.send_to(df)
+    result = sdf.mean(columns).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_parallel.py b/scripts/libclient/src/tests/test_parallel.py
index 3b35ad46d..21ce42958 100644
--- a/scripts/libclient/src/tests/test_parallel.py
+++ b/scripts/libclient/src/tests/test_parallel.py
@@ -1,96 +1,64 @@
-import csv
-import json
-import math
 from concurrent.futures import ThreadPoolExecutor
 
-import numpy as np
+import pandas as pd
 import pytest
-from quickmpc import parse
-from utils import get_result, qmpc
+from utils import qmpc
 
-parallel_num = [
-    (5),
-    (10),
-    (50)
-]
+df = pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])
+
+
+@pytest.fixture(scope="module")
+def correct_sdf():
+    return qmpc.send_to(df)
+
+
+@pytest.fixture(scope="module")
+def correct_result(correct_sdf):
+    return correct_sdf.sum([1, 2])
 
 
 @pytest.mark.parametrize(
-    ("parallel_num"), parallel_num
+    ("parallel_num"), [
+        (1), (2), (3), (4), (5), (10)
+    ]
 )
 def test_send_share(parallel_num: int):
-    # csv dataをパースする
-    filename: str = "data/table_data_5x5.csv"
-
-    # 並列にsend_share
-    executor = ThreadPoolExecutor()
     futures = []
-    for _ in range(parallel_num):
-        futures.append(
-            executor.submit(qmpc.send_share_from_csv_file, filename)
-        )
-
-    data_ids = []
+    with ThreadPoolExecutor() as executor:
+        for _ in range(parallel_num):
+            futures.append(executor.submit(qmpc.send_to, df))
     for future in futures:
-        res = future.result()
-        data_ids.append(res["data_id"])
-        assert (res["is_ok"])
-
-    # 冪等性のために消しておく
-    qmpc.delete_share(data_ids)
+        # raiseされないかチェック
+        future.result()
 
 
 @pytest.mark.parametrize(
-    ("parallel_num"), parallel_num
+    ("parallel_num"), [
+        (1), (2), (3), (4), (5), (10)
+    ]
 )
-def test_execute(parallel_num: int):
-    filename: str = "data/table_data_5x5.csv"
-    res = qmpc.send_share_from_csv_file(filename)
-    data_id = res["data_id"]
-
-    # table情報と列指定情報を定義して計算
-    secrets, schema = parse(filename)
-    length: int = len(secrets[0])
-    inp = [i for i in range(2, length+1)]
-
-    res = get_result(qmpc.mean([data_id], inp))
-    assert (res["is_ok"])
-
-    # 並列にexecute_computation
-    executor = ThreadPoolExecutor()
+def test_execute(parallel_num: int, correct_sdf):
     futures = []
-    for _ in range(parallel_num):
-        futures.append(
-            executor.submit(qmpc.sum, [data_id], inp)
-        )
-
+    with ThreadPoolExecutor() as executor:
+        for _ in range(parallel_num):
+            futures.append(executor.submit(correct_sdf.sum, [1, 2]))
+    expected = pd.DataFrame([4.0, 6.0])
     for future in futures:
-        res = get_result(future.result())
-        assert (res["is_ok"])
+        result = future.result().to_data_frame()
+        pd.testing.assert_frame_equal(result, expected)
 
-        # 正しく計算されたか確認
-        secrets_np = np.array(secrets)[:, 1:]
-        true_val = np.add.reduce(secrets_np)
-        for x, y in zip(res["results"], true_val):
-            assert (math.isclose(x, y, abs_tol=0.1))
 
-
-@pytest.mark.skip(reason="send_model_param削除によりjob_uuidを取得できなくなったため")
 @pytest.mark.parametrize(
-    ("parallel_num"), parallel_num
+    ("parallel_num"), [
+        (1), (2), (3), (4), (5), (10)
+    ]
 )
-def test_get_computation_result(parallel_num: int):
-    # TODO: job_uuidを取得
-    job_uuid = None
-
-    # 並列にget_computation_result
-    executor = ThreadPoolExecutor()
+def test_get_computation_result(parallel_num: int, correct_result):
     futures = []
-    for _ in range(parallel_num):
-        futures.append(
-            executor.submit(qmpc.get_computation_result, job_uuid)
-        )
-
+    with ThreadPoolExecutor() as executor:
+        for _ in range(parallel_num):
+            futures.append(executor.submit(correct_result.to_data_frame))
+    expected = pd.DataFrame([4.0, 6.0])
     for future in futures:
-        res = future.result()
-        assert (res["is_ok"])
+        result = future.result()
+        pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_send_share.py b/scripts/libclient/src/tests/test_send_share.py
index 9a25f9f4d..7882b93ce 100644
--- a/scripts/libclient/src/tests/test_send_share.py
+++ b/scripts/libclient/src/tests/test_send_share.py
@@ -1,39 +1,18 @@
 
-import csv
-import json
-
+import pandas as pd
 import pytest
 from utils import qmpc
 
 
-def csv_data_param(secrets=[[1, 2, 3], [4, 5, 6]],
-                   schema=["a", "b", "c"],
-                   matching_column=1,
-                   piece_size=1_000_000):
-    return ([schema]+secrets, matching_column, piece_size)
-
-
 @pytest.mark.parametrize(
-    ("param"),
+    ("df"),
     [
-        # usually case
-        (csv_data_param()),
-
-        # small table size case
-        (csv_data_param(secrets=[[1]], schema=["a"])),
-
-        # nonzero matching_column case
-        (csv_data_param(matching_column=3)),
-
-        # small piece_size case
-        (csv_data_param(piece_size=1_000)),
+        (pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])),
+        (pd.DataFrame([[1]], columns=["s1"])),
+        (pd.DataFrame([["a", 1], ["b", 2]], columns=["id", "s1"])),
+        (pd.DataFrame([["a", "x"], ["b", "y"]], columns=["id", "xy"])),
     ]
 )
-def test_send_share_from_csv_data(param: tuple):
-
-    # データをシェア化し送信する
-    res = qmpc.send_share_from_csv_data(*param)
-    assert (res["is_ok"])
-
-    # 冪等性のために消しておく
-    qmpc.delete_share([res["data_id"]])
+def test_send_share_from_csv_data(df: pd.DataFrame):
+    # throwされないかtest
+    qmpc.send_to(df)
diff --git a/scripts/libclient/src/tests/test_string.py b/scripts/libclient/src/tests/test_string.py
index f14b1a5ff..a2d3eb06a 100644
--- a/scripts/libclient/src/tests/test_string.py
+++ b/scripts/libclient/src/tests/test_string.py
@@ -1,10 +1,9 @@
 import string
 from random import Random
 
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-import tests.common
+from utils import qmpc
 
 
 def generate_random_string(seed: int, length: int) -> str:
@@ -50,12 +49,8 @@ def generate_random_string(seed: int, length: int) -> str:
     ]
 )
 def test_restor_string(secret: str):
-    secrets = [['0', secret]]
-    schema = ['id', 'str']
-
-    data_id = tests.common.data_id(secrets, schema)
-
-    res = get_result(qmpc.get_join_table([data_id]))
-    assert (res["is_ok"])
-
-    assert res['results']['table'] == [[secret]]
+    df = pd.DataFrame([[0, secret]], columns=["id", "str"])
+    sdf = qmpc.send_to(df)
+    result = sdf.join([]).to_data_frame()
+    expected = pd.DataFrame([[secret]], columns=["str"])
+    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_sum.py b/scripts/libclient/src/tests/test_sum.py
index a10415bb5..2374d6860 100644
--- a/scripts/libclient/src/tests/test_sum.py
+++ b/scripts/libclient/src/tests/test_sum.py
@@ -1,53 +1,38 @@
-import math
-
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 5, 6]])],
-                              src=[1, 2, 3]):
-    return (dataIds, src)
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df", "columns", "expected"),
     [
         # usually case
-        (execute_computation_param(),
-         [5, 7, 9]),
+        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
+         [1, 2, 3],
+         pd.DataFrame([5.0, 7.0, 9.0])),
 
         # small table size case
-        (execute_computation_param(dataIds=[data_id([[1]])],
-                                   src=[1]),
-         [1]),
+        (pd.DataFrame([[1]], columns=["s1"]),
+         [1],
+         pd.DataFrame([1.0])),
 
         # large data case
-        (execute_computation_param(dataIds=[data_id([[10**18], [10**18]])],
-                                   src=[1]),
-            [2*10**18]),
+        (pd.DataFrame([[10**18], [10**18]], columns=["s1"]),
+         [1],
+         pd.DataFrame([2.0*10**18])),
 
         # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-10], [10**-10]])],
-                                   src=[1]),
-            [2*10**-10]),
+        (pd.DataFrame([[10**-18], [10**-18]], columns=["s1"]),
+         [1],
+         pd.DataFrame([2.0*10**-10])),
 
         # duplicated src case
-        (execute_computation_param(src=[1, 2, 2, 3, 3, 3]),
-         [5, 7, 7, 9, 9, 9]),
-
-        # empty src case
-        (execute_computation_param(src=[]),
-         []),
+        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
+         [1, 2, 2, 3, 3, 3],
+         pd.DataFrame([5.0, 7.0, 7.0, 9.0, 9.0, 9.0])),
     ]
 )
-def test_sum(param: tuple, expected: list):
-
-    # 総和計算リクエスト送信
-    res = get_result(qmpc.sum(*param))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for x, y in zip(res["results"], expected):
-        assert (math.isclose(x, y, abs_tol=0.1))
+def test_sum(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
+    sdf = qmpc.send_to(df)
+    result = sdf.sum(columns).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests/test_token.py b/scripts/libclient/src/tests/test_token.py
index 5eb6e842a..a4d5c2a92 100644
--- a/scripts/libclient/src/tests/test_token.py
+++ b/scripts/libclient/src/tests/test_token.py
@@ -1,75 +1,49 @@
-import csv
 import os
-import time
 
-from quickmpc import QMPC, parse
+import pandas as pd
+import pytest
 from quickmpc.exception import QMPCServerError
-from utils import get_result, qmpc
+from quickmpc.qmpc import QMPC
+from utils import get_endpoints, qmpc
 
-# 各種リクエストに用いる変数
-filename_table: str = "data/table_data_5x5.csv"
-secrets, schema = parse(filename_table)
-length: int = len(secrets[0])
-inp = [i for i in range(2, length + 1)]
+df = pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])
 
 
-def __preprocess():
-    # 一部のrequestは別のrequestに依存しているため実行しておく
-    res_send_share = qmpc.send_share_from_csv_file(filename_table)
-    data_id: str = res_send_share["data_id"]
+# テスト用に正しいtokenで送信して得られたインスタンス
+@pytest.fixture(scope="module")
+def correct_sdf():
+    return qmpc.send_to(df)
 
-    res_execute_computation = qmpc.sum([data_id], inp)
-    get_result(res_execute_computation)
-    job_uuid: str = res_execute_computation["job_uuid"]
 
-    return data_id, job_uuid
+@pytest.fixture(scope="module")
+def correct_result(correct_sdf):
+    return correct_sdf.sum([1, 2])
 
 
-def check_all_request(token: str):
-    os.environ["QMPC_TOKEN"] = token
-    qmpc_inner: QMPC = QMPC(
-        ["http://localhost:50001",
-         "http://localhost:50002",
-         "http://localhost:50003"],
-    )
-    data_id, job_uuid = __preprocess()
-
-    # 各requestを実行する
-    requests = [
-        (qmpc_inner.send_share_from_csv_file, [filename_table]),
-        (qmpc_inner.sum, ([data_id], inp)),
-        (qmpc_inner.get_computation_result, (job_uuid,)),
-        (qmpc_inner.delete_share, ([data_id],))
+@pytest.mark.parametrize(
+    ("token"), [
+        ("token_demo"),
+        ("token_dep"),
     ]
-
-    def try_func(func, param):
-        try:
-            return func(*param)["is_ok"]
-        except QMPCServerError:
-            """tokenが正しくない場合例外が投げられるため"""
-            return False
-
-    response = [try_func(func, param) for func, param in requests]
-
-    return response
-
-
-def test_token_dep():
-    """ deploy tokenでの動作確認 """
-    token: str = "token_dep"
-    res = check_all_request(token)
-    assert (all(res))
-
-
-def test_token_demo():
-    """ demo tokenでの動作確認 """
-    token: str = "token_demo"
-    res = check_all_request(token)
-    assert (all(res))
+)
+def test_token_success(token: str, correct_sdf, correct_result):
+    os.environ["QMPC_TOKEN"] = token
+    qmpc_token = QMPC(get_endpoints())
+    qmpc_token.send_to(df)
+    correct_sdf.sum([1, 2])
+    correct_result.to_data_frame()
 
 
-def test_token_error():
-    """ 適当なtokenでの動作確認 """
-    token: str = "token_hoge"
-    res = check_all_request(token)
-    assert (any(res) is False)
+@pytest.mark.parametrize(
+    ("token"), [
+        ("token_hoge"),
+    ]
+)
+def test_token_error(token: str, correct_sdf, correct_result):
+    os.environ["QMPC_TOKEN"] = token
+    qmpc_token = QMPC(get_endpoints())
+    with pytest.raises(QMPCServerError):
+        qmpc_token.send_to(df)
+    # TODO: 中でraiseするように変更する
+    correct_sdf.sum([1, 2])
+    correct_result.to_data_frame()
diff --git a/scripts/libclient/src/tests/test_variance.py b/scripts/libclient/src/tests/test_variance.py
index a6c2dc43b..85a9f94de 100644
--- a/scripts/libclient/src/tests/test_variance.py
+++ b/scripts/libclient/src/tests/test_variance.py
@@ -1,58 +1,43 @@
-import math
-
+import pandas as pd
 import pytest
-from utils import get_result, qmpc
-
-from tests.common import data_id
-
-
-def execute_computation_param(dataIds=[data_id([[1, 2, 3], [4, 7, 10]])],
-                              src=[1, 2, 3]):
-    return (dataIds,  src)
+from utils import qmpc
 
 
 @pytest.mark.parametrize(
-    ("param", "expected"),
+    ("df", "columns", "expected"),
     [
         # usually case
-        (execute_computation_param(),
-         [2.25, 6.25, 12.25]),
+        (pd.DataFrame([[1, 2, 3], [4, 7, 10]], columns=["s1", "s2", "s3"]),
+         [1, 2, 3],
+         pd.DataFrame([2.25, 6.25, 12.25])),
 
         # small table size case
-        (execute_computation_param(dataIds=[data_id([[1]])],
-                                   src=[1]),
-         [0]),
+        (pd.DataFrame([[1]], columns=["s1"]),
+         [1],
+         pd.DataFrame([0.0])),
 
         # large data case
-        (execute_computation_param(dataIds=[data_id([[10**9], [10**9+10]])],
-                                   src=[1]),
-            [25]),
+        (pd.DataFrame([[10**9], [10**9+10]], columns=["s1"]),
+         [1],
+         pd.DataFrame([25.0])),
 
         # small data case
-        (execute_computation_param(dataIds=[data_id([[10**-10], [10**-10+10]])],
-                                   src=[1]),
-            [25]),
+        (pd.DataFrame([[10**-9], [10**-9+10]], columns=["s1"]),
+         [1],
+         pd.DataFrame([25.0])),
 
         # duplicated src case
-        (execute_computation_param(src=[1, 2, 2, 3, 3, 3]),
-         [2.25, 6.25, 6.25, 12.25, 12.25, 12.25]),
-
-        # empty src case
-        (execute_computation_param(src=[]),
-         []),
+        (pd.DataFrame([[1, 2, 3], [4, 7, 10]], columns=["s1", "s2", "s3"]),
+         [1, 2, 2, 3, 3, 3],
+         pd.DataFrame([2.25, 6.25, 6.25, 12.25, 12.25, 12.25])),
 
         # variance is 0 case
-        (execute_computation_param(dataIds=[data_id([[1], [1], [1]])],
-                                   src=[1]),
-         [0]),
+        (pd.DataFrame([[1], [1], [1]], columns=["s1"]),
+         [1],
+         pd.DataFrame([0.0])),
     ]
 )
-def test_variance(param: tuple, expected: list):
-
-    # 分散計算リクエスト送信
-    res = get_result(qmpc.variance(*param))
-    assert (res["is_ok"])
-
-    # 正しく計算されたか確認
-    for x, y in zip(res["results"], expected):
-        assert (math.isclose(x, y, abs_tol=0.1))
+def test_variance(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
+    sdf = qmpc.send_to(df)
+    result = sdf.variance(columns).to_data_frame()
+    pd.testing.assert_frame_equal(result, expected, atol=1e-5)
diff --git a/scripts/libclient/src/tests_new/__init__.py b/scripts/libclient/src/tests_new/__init__.py
deleted file mode 100644
index e69de29bb..000000000
diff --git a/scripts/libclient/src/tests_new/test_correl.py b/scripts/libclient/src/tests_new/test_correl.py
deleted file mode 100644
index 0a983f36e..000000000
--- a/scripts/libclient/src/tests_new/test_correl.py
+++ /dev/null
@@ -1,41 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df", "columns1", "columns2",  "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[1, 2, 3], [4, 7, 10], [2, 9, 3]],
-                      columns=["s1", "s2", "s3"]),
-         [1, 2], [3],
-         pd.DataFrame([[0.94491118, 0.24019223]])),
-
-
-        # large data case
-        (pd.DataFrame([[10**9, 10**9+5], [10**9+10, 10**9+10]],
-                      columns=["s1", "s2"]),
-         [1], [2],
-         pd.DataFrame([[1.0]])),
-
-        # small data case
-        (pd.DataFrame([[10**-9, 10**-9+5], [10**-9+10, 10**-9+10]],
-                      columns=["s1", "s2"]),
-         [1], [2],
-         pd.DataFrame([[1.0]])),
-
-        # duplicated src case
-        (pd.DataFrame([[1, 2, 3], [4, 7, 10], [2, 9, 3]],
-                      columns=["s1", "s2", "s3"]),
-         [2, 3, 3], [1, 1, 3],
-         pd.DataFrame([[0.54470478, 0.94491118, 0.94491118],
-                       [0.54470478, 0.94491118, 0.94491118],
-                       [0.24019223, 1.0, 1.0]])),
-    ]
-)
-def test_correl(df: pd.DataFrame, columns1: list, columns2: list,
-                expected: pd.DataFrame):
-    sdf = qmpc_new.send_to(df)
-    result = sdf.correl(columns1, columns2).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_get_computation_result.py b/scripts/libclient/src/tests_new/test_get_computation_result.py
deleted file mode 100644
index e9e809f3e..000000000
--- a/scripts/libclient/src/tests_new/test_get_computation_result.py
+++ /dev/null
@@ -1,62 +0,0 @@
-import os
-import shutil
-from typing import Callable
-
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.fixture(scope="module")
-def sdf():
-    return qmpc_new.send_to(pd.DataFrame([[1, 2], [3, 4]],
-                                         columns=["s1", "s2"]))
-
-
-@pytest.mark.parametrize(
-    ("method", "args", "expected"),
-    [
-        # 1次元結果の取得
-        ("sum", ([1, 2],),
-         pd.DataFrame([4.0, 6.0])),
-        # 2次元結果の取得
-        ("correl", ([1, 2], [1, 2]),
-         pd.DataFrame([[1.0, 1.0], [1.0, 1.0]])),
-        # テーブルデータの取得
-        ("join", ([],),
-         pd.DataFrame([[2.0], [4.0]], columns=["s2"])),
-    ]
-)
-def test_to_data_frame(method: str, args: dict, expected: pd.DataFrame,
-                       sdf):
-    result = getattr(sdf, method)(*args).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
-
-
-@pytest.mark.parametrize(
-    ("method", "args", "expected"),
-    [
-        # 1次元結果の取得
-        ("sum", ([1, 2],),
-         pd.DataFrame([4.0, 6.0])),
-        # 2次元結果の取得
-        ("correl", ([1, 2], [1, 2]),
-         pd.DataFrame([[1.0, 1.0], [1.0, 1.0]])),
-        # テーブルデータの取得
-        ("join", ([],),
-         pd.DataFrame([[2.0], [4.0]], columns=["s2"])),
-    ]
-)
-def test_restore(method: str, args: dict, expected: pd.DataFrame,
-                 sdf):
-    path = "./result"
-    if os.path.isdir(path):
-        shutil.rmtree(path)
-    os.mkdir(path)
-
-    sdf_result = getattr(sdf, method)(*args)
-    sdf_result.to_csv(path)
-    result = qmpc_new.restore(sdf_result.get_id(), path, 3)
-    pd.testing.assert_frame_equal(result, expected)
-
-    shutil.rmtree(path)
diff --git a/scripts/libclient/src/tests_new/test_get_elapsed_time.py b/scripts/libclient/src/tests_new/test_get_elapsed_time.py
deleted file mode 100644
index ad28177e9..000000000
--- a/scripts/libclient/src/tests_new/test_get_elapsed_time.py
+++ /dev/null
@@ -1,18 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("size"),
-    [
-        (1), (10), (100), (1000),
-    ]
-)
-def test_sum(size: int):
-    df = pd.DataFrame([[1, 2, 3] for _ in range(size)],
-                      columns=["s1", "s2", "s3"])
-    sdf = qmpc_new.send_to(df)
-    sdf_res = sdf.sum([1, 2, 3])
-    tm = sdf_res.get_elapsed_time()
-    assert tm is not None
diff --git a/scripts/libclient/src/tests_new/test_job_error_info.py b/scripts/libclient/src/tests_new/test_job_error_info.py
deleted file mode 100644
index d33abe875..000000000
--- a/scripts/libclient/src/tests_new/test_job_error_info.py
+++ /dev/null
@@ -1,29 +0,0 @@
-import pandas as pd
-import pytest
-from quickmpc.exception import QMPCJobError
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("column"),
-    [
-        # column index is outside left of range
-        (0),
-
-        # column index is outside right of range
-        (3),
-    ]
-)
-def test_job_error_info(column: int):
-    sdf = qmpc_new.send_to(pd.DataFrame([[1, 2], [3, 4]],
-                                        columns=["s1", "s2"]))
-
-    err_info = None
-    try:
-        sdf.sum([column]).to_data_frame()
-    except QMPCJobError as e:
-        err_info = e.err_info
-
-    assert (err_info is not None)
-    assert (err_info.what != '')
-    assert (err_info.HasField("stacktrace"))
diff --git a/scripts/libclient/src/tests_new/test_join.py b/scripts/libclient/src/tests_new/test_join.py
deleted file mode 100644
index 9915ee99b..000000000
--- a/scripts/libclient/src/tests_new/test_join.py
+++ /dev/null
@@ -1,81 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df1", "df2", "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[10, 3, 4], [12, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([[1.0, 2.0, 3.0, 4.0]],
-                      columns=["s1", "s2", "s3", "s4"])),
-
-        # all match case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[10, 3, 4], [11, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([[1.0, 2.0, 3.0, 4.0], [1.0, 2.0, 3.0, 4.0]],
-                      columns=["s1", "s2", "s3", "s4"])),
-
-        # not match case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[20, 3, 4], [21, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([], columns=["s1", "s2", "s3", "s4"])),
-
-        # empty table case
-        (pd.DataFrame([[10]], columns=["id"]),
-         pd.DataFrame([[10]], columns=["id"]),
-         pd.DataFrame([], columns=[])),
-
-        # large table case
-        (pd.DataFrame([[id, 1] for id in range(1000)], columns=["id", "s1"]),
-         pd.DataFrame([[id, 2] for id in range(1000)], columns=["id", "s2"]),
-         pd.DataFrame([[1.0, 2.0] for id in range(1000)], columns=["s1", "s2"])),
-    ]
-)
-def test_hjoin(df1: pd.DataFrame, df2: pd.DataFrame, expected: pd.DataFrame):
-    sdf1 = qmpc_new.send_to(df1)
-    sdf2 = qmpc_new.send_to(df2)
-    result = sdf1.join(sdf2, debug_mode=True).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
-
-
-@pytest.mark.parametrize(
-    ("df1", "df2", "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[10, 3, 4], [12, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([[1.0, 2.0, 3.0, 4.0]],
-                      columns=["s1", "s2", "s3", "s4"])),
-
-        # all match case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[10, 3, 4], [11, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([[1.0, 2.0, 3.0, 4.0], [1.0, 2.0, 3.0, 4.0]],
-                      columns=["s1", "s2", "s3", "s4"])),
-
-        # not match case
-        (pd.DataFrame([[10, 1, 2], [11, 1, 2]], columns=["id", "s1", "s2"]),
-         pd.DataFrame([[20, 3, 4], [21, 3, 4]], columns=["id", "s3", "s4"]),
-         pd.DataFrame([], columns=["s1", "s2", "s3", "s4"])),
-
-        # empty table case
-        (pd.DataFrame([[10]], columns=["id"]),
-         pd.DataFrame([[10]], columns=["id"]),
-         pd.DataFrame([], columns=[])),
-
-        # large table case
-        (pd.DataFrame([[id, 1] for id in range(1000)], columns=["id", "s1"]),
-         pd.DataFrame([[id, 2] for id in range(1000)], columns=["id", "s2"]),
-         pd.DataFrame([[1.0, 2.0] for id in range(1000)],
-                      columns=["s1", "s2"])),
-    ]
-)
-def test_hjoin_share(df1: pd.DataFrame, df2: pd.DataFrame,
-                     expected: pd.DataFrame):
-    sdf1 = qmpc_new.send_to(df1)
-    sdf2 = qmpc_new.send_to(df2)
-    result = sdf1.join(sdf2).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_mean.py b/scripts/libclient/src/tests_new/test_mean.py
deleted file mode 100644
index 84006dfcb..000000000
--- a/scripts/libclient/src/tests_new/test_mean.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df", "columns", "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
-         [1, 2, 3],
-         pd.DataFrame([2.5, 3.5, 4.5])),
-
-        # small table size case
-        (pd.DataFrame([[1]], columns=["s1"]),
-         [1],
-         pd.DataFrame([1.0])),
-
-        # large data case
-        (pd.DataFrame([[10**18], [10**18+10]], columns=["s1"]),
-         [1],
-         pd.DataFrame([10.0**18+5])),
-
-        # small data case
-        (pd.DataFrame([[10**-10], [10**-10+10]], columns=["s1"]),
-         [1],
-         pd.DataFrame([10.0**-10+5])),
-
-        # duplicated src case
-        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
-         [1, 2, 2, 3, 3, 3],
-         pd.DataFrame([2.5, 3.5, 3.5, 4.5, 4.5, 4.5])),
-    ]
-)
-def test_mean(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
-    sdf = qmpc_new.send_to(df)
-    result = sdf.mean(columns).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_parallel.py b/scripts/libclient/src/tests_new/test_parallel.py
deleted file mode 100644
index 09d0784d5..000000000
--- a/scripts/libclient/src/tests_new/test_parallel.py
+++ /dev/null
@@ -1,64 +0,0 @@
-from concurrent.futures import ThreadPoolExecutor
-
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-df = pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])
-
-
-@pytest.fixture(scope="module")
-def correct_sdf():
-    return qmpc_new.send_to(df)
-
-
-@pytest.fixture(scope="module")
-def correct_result(correct_sdf):
-    return correct_sdf.sum([1, 2])
-
-
-@pytest.mark.parametrize(
-    ("parallel_num"), [
-        (1), (2), (3), (4), (5), (10)
-    ]
-)
-def test_send_share(parallel_num: int):
-    futures = []
-    with ThreadPoolExecutor() as executor:
-        for _ in range(parallel_num):
-            futures.append(executor.submit(qmpc_new.send_to, df))
-    for future in futures:
-        # raiseされないかチェック
-        future.result()
-
-
-@pytest.mark.parametrize(
-    ("parallel_num"), [
-        (1), (2), (3), (4), (5), (10)
-    ]
-)
-def test_execute(parallel_num: int, correct_sdf):
-    futures = []
-    with ThreadPoolExecutor() as executor:
-        for _ in range(parallel_num):
-            futures.append(executor.submit(correct_sdf.sum, [1, 2]))
-    expected = pd.DataFrame([4.0, 6.0])
-    for future in futures:
-        result = future.result().to_data_frame()
-        pd.testing.assert_frame_equal(result, expected)
-
-
-@pytest.mark.parametrize(
-    ("parallel_num"), [
-        (1), (2), (3), (4), (5), (10)
-    ]
-)
-def test_get_computation_result(parallel_num: int, correct_result):
-    futures = []
-    with ThreadPoolExecutor() as executor:
-        for _ in range(parallel_num):
-            futures.append(executor.submit(correct_result.to_data_frame))
-    expected = pd.DataFrame([4.0, 6.0])
-    for future in futures:
-        result = future.result()
-        pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_send_share.py b/scripts/libclient/src/tests_new/test_send_share.py
deleted file mode 100644
index 2cc235b5b..000000000
--- a/scripts/libclient/src/tests_new/test_send_share.py
+++ /dev/null
@@ -1,18 +0,0 @@
-
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df"),
-    [
-        (pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])),
-        (pd.DataFrame([[1]], columns=["s1"])),
-        (pd.DataFrame([["a", 1], ["b", 2]], columns=["id", "s1"])),
-        (pd.DataFrame([["a", "x"], ["b", "y"]], columns=["id", "xy"])),
-    ]
-)
-def test_send_share_from_csv_data(df: pd.DataFrame):
-    # throwされないかtest
-    qmpc_new.send_to(df)
diff --git a/scripts/libclient/src/tests_new/test_string.py b/scripts/libclient/src/tests_new/test_string.py
deleted file mode 100644
index 64cce68ea..000000000
--- a/scripts/libclient/src/tests_new/test_string.py
+++ /dev/null
@@ -1,56 +0,0 @@
-import string
-from random import Random
-
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-def generate_random_string(seed: int, length: int) -> str:
-    random = Random(seed)
-    chars = [random.choice(string.printable) for _ in range(length)]
-    return ''.join(chars)
-
-
-@pytest.mark.parametrize(
-    ("secret"),
-    [
-        # normal case
-        'secret',
-        # random case
-        generate_random_string(seed=0, length=512),
-        # alphabet
-        "abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ",
-        # hiragana
-        "ぁあぃいぅうぇえぉおかがきぎくぐけげこごさざしじすずせぜそぞ"
-        "ただちぢっつづてでとどなにぬねのはばぱひびぴふぶぷへべぺほぼぽ"
-        "まみむめもゃやゅゆょよらりるれろゎわゐゑをんゔゕゖ",
-        # katakana
-        "ァアィイゥウェエォオカガキギクグケゲコゴサザシジスズセゼソゾ"
-        "タダチヂッツヅテデトドナニヌネノハバパヒビピフブプヘベペホボポ"
-        "マミムメモャヤュユョヨラリルレロヮワヰヱヲンヴヵヶヷヸヹヺ",
-        # kanji
-        "春眠不覚暁処処聞啼鳥夜来風雨声花落知多少",
-        # large number
-        # NOTE: 全角数字も数字と解釈されてしまい文字列として復元されない
-        # "１２３４５６７８９０",
-        # mix
-        "abcあいうアイウ你好世界１２３",
-        # 最長住所
-        "漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢"
-        "漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢"
-        "漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢"
-        "漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢"
-        "漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢漢",
-        # emoji
-        "😀😁😂🤣😃😄😅😆😉😊😋😎😍😘😗😙😚☺🙂🤗🤩🤔🤨😐😑😶🙄😏😣😥😮"
-        "🤐😯😪😫😴😌😛😜😝🤤😒😓😔😕🙃🤑😲☹🙁😖😞😟😤😢😭😦😧😨😩🤯😬"
-        "😰😱😳🤪😵😡😠🤬😷🤒🤕🤢🤮🤧😇🤠🤡🤥🤫🤭🧐🤓",
-    ]
-)
-def test_restor_string(secret: str):
-    df = pd.DataFrame([[0, secret]], columns=["id", "str"])
-    sdf = qmpc_new.send_to(df)
-    result = sdf.join([]).to_data_frame()
-    expected = pd.DataFrame([[secret]], columns=["str"])
-    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_sum.py b/scripts/libclient/src/tests_new/test_sum.py
deleted file mode 100644
index ce1482bd7..000000000
--- a/scripts/libclient/src/tests_new/test_sum.py
+++ /dev/null
@@ -1,38 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df", "columns", "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
-         [1, 2, 3],
-         pd.DataFrame([5.0, 7.0, 9.0])),
-
-        # small table size case
-        (pd.DataFrame([[1]], columns=["s1"]),
-         [1],
-         pd.DataFrame([1.0])),
-
-        # large data case
-        (pd.DataFrame([[10**18], [10**18]], columns=["s1"]),
-         [1],
-         pd.DataFrame([2.0*10**18])),
-
-        # small data case
-        (pd.DataFrame([[10**-18], [10**-18]], columns=["s1"]),
-         [1],
-         pd.DataFrame([2.0*10**-10])),
-
-        # duplicated src case
-        (pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["s1", "s2", "s3"]),
-         [1, 2, 2, 3, 3, 3],
-         pd.DataFrame([5.0, 7.0, 7.0, 9.0, 9.0, 9.0])),
-    ]
-)
-def test_sum(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
-    sdf = qmpc_new.send_to(df)
-    result = sdf.sum(columns).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected)
diff --git a/scripts/libclient/src/tests_new/test_token.py b/scripts/libclient/src/tests_new/test_token.py
deleted file mode 100644
index 66af6d33f..000000000
--- a/scripts/libclient/src/tests_new/test_token.py
+++ /dev/null
@@ -1,49 +0,0 @@
-import os
-
-import pandas as pd
-import pytest
-from quickmpc.exception import QMPCServerError
-from quickmpc.qmpc_new import QMPC
-from utils import get_endpoints, qmpc_new
-
-df = pd.DataFrame([[1, 2], [3, 4]], columns=["s1", "s2"])
-
-
-# テスト用に正しいtokenで送信して得られたインスタンス
-@pytest.fixture(scope="module")
-def correct_sdf():
-    return qmpc_new.send_to(df)
-
-
-@pytest.fixture(scope="module")
-def correct_result(correct_sdf):
-    return correct_sdf.sum([1, 2])
-
-
-@pytest.mark.parametrize(
-    ("token"), [
-        ("token_demo"),
-        ("token_dep"),
-    ]
-)
-def test_token_success(token: str, correct_sdf, correct_result):
-    os.environ["QMPC_TOKEN"] = token
-    qmpc_token = QMPC(get_endpoints())
-    qmpc_token.send_to(df)
-    correct_sdf.sum([1, 2])
-    correct_result.to_data_frame()
-
-
-@pytest.mark.parametrize(
-    ("token"), [
-        ("token_hoge"),
-    ]
-)
-def test_token_error(token: str, correct_sdf, correct_result):
-    os.environ["QMPC_TOKEN"] = token
-    qmpc_token = QMPC(get_endpoints())
-    with pytest.raises(QMPCServerError):
-        qmpc_token.send_to(df)
-    # TODO: 中でraiseするように変更する
-    correct_sdf.sum([1, 2])
-    correct_result.to_data_frame()
diff --git a/scripts/libclient/src/tests_new/test_variance.py b/scripts/libclient/src/tests_new/test_variance.py
deleted file mode 100644
index 49e86d62b..000000000
--- a/scripts/libclient/src/tests_new/test_variance.py
+++ /dev/null
@@ -1,43 +0,0 @@
-import pandas as pd
-import pytest
-from utils import qmpc_new
-
-
-@pytest.mark.parametrize(
-    ("df", "columns", "expected"),
-    [
-        # usually case
-        (pd.DataFrame([[1, 2, 3], [4, 7, 10]], columns=["s1", "s2", "s3"]),
-         [1, 2, 3],
-         pd.DataFrame([2.25, 6.25, 12.25])),
-
-        # small table size case
-        (pd.DataFrame([[1]], columns=["s1"]),
-         [1],
-         pd.DataFrame([0.0])),
-
-        # large data case
-        (pd.DataFrame([[10**9], [10**9+10]], columns=["s1"]),
-         [1],
-         pd.DataFrame([25.0])),
-
-        # small data case
-        (pd.DataFrame([[10**-9], [10**-9+10]], columns=["s1"]),
-         [1],
-         pd.DataFrame([25.0])),
-
-        # duplicated src case
-        (pd.DataFrame([[1, 2, 3], [4, 7, 10]], columns=["s1", "s2", "s3"]),
-         [1, 2, 2, 3, 3, 3],
-         pd.DataFrame([2.25, 6.25, 6.25, 12.25, 12.25, 12.25])),
-
-        # variance is 0 case
-        (pd.DataFrame([[1], [1], [1]], columns=["s1"]),
-         [1],
-         pd.DataFrame([0.0])),
-    ]
-)
-def test_variance(df: pd.DataFrame, columns: list, expected: pd.DataFrame):
-    sdf = qmpc_new.send_to(df)
-    result = sdf.variance(columns).to_data_frame()
-    pd.testing.assert_frame_equal(result, expected, atol=1e-5)
diff --git a/scripts/libclient/src/utils.py b/scripts/libclient/src/utils.py
index 7ea5a4cca..5659c6ffa 100644
--- a/scripts/libclient/src/utils.py
+++ b/scripts/libclient/src/utils.py
@@ -1,18 +1,14 @@
-
-import glob
 import os
-import time
 
-from quickmpc import QMPC, JobStatus
-from quickmpc.qmpc_new import QMPC as QMPC_new
+from quickmpc import QMPC
 
 
 def get_endpoints():
     party_size = os.getenv("PARTY_SIZE")
     if party_size:
         try:
-            endpoints = [
-                f"http://{os.environ[f'PARTY{i}']}:50000" for i in range(1, int(party_size)+1)]
+            endpoints = [f"http://{os.environ[f'PARTY{i}']}:50000"
+                         for i in range(1, int(party_size)+1)]
             return endpoints
         except KeyError:
             raise
@@ -27,42 +23,3 @@ def get_endpoints():
 qmpc: QMPC = QMPC(
     get_endpoints()
 )
-qmpc_new: QMPC_new = QMPC_new(
-    get_endpoints()
-)
-
-
-def __try_get_computation_result(job_uuid, is_limit, path='./result'):
-    res_status = qmpc.get_computation_status(job_uuid)
-    all_completed = all([status == JobStatus.COMPLETED
-                         for status in res_status["statuses"]])
-    if not all_completed:
-        if is_limit:
-            raise
-        return None
-
-    if not os.path.isdir(path):
-        os.mkdir(path)
-
-    get_res = qmpc.get_computation_result(job_uuid, path)
-    res = qmpc.restore(job_uuid, path)
-    get_res["results"] = res
-    # NOTE
-    # 計算結果取得時には含まれていないが，job_uuidがmodelの取得に使われるので
-    # このような処理をしている
-    get_res["job_uuid"] = job_uuid
-    return get_res
-
-
-def get_result(res, limit=20):
-    """ 計算が終わるまで limit 回結果取得をし続ける i回目の終わりにi秒待つ"""
-    if not res["is_ok"]:
-        return res
-
-    job_uuid = res["job_uuid"]
-
-    for i in range(limit):
-        time.sleep(i)
-        res = __try_get_computation_result(job_uuid, i+1 == limit)
-        if res is not None:
-            return res

From a641e1aba645e7f8c2faef1f0141fbbc28c2e500 Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Wed, 5 Jul 2023 22:23:29 +0900
Subject: [PATCH 4/9] Remove old container test

---
 .../{tests_new => tests}/__init__.py          |  0
 scripts/container_test/tests/container.py     |  3 +-
 .../container_test/tests/test_down_request.py | 18 ++---
 .../tests/test_restart_request.py             | 48 +++---------
 scripts/container_test/tests/test_up.py       |  2 +-
 scripts/container_test/tests/utils.py         | 49 ++----------
 scripts/container_test/tests_new/container.py | 65 ----------------
 .../tests_new/test_down_request.py            | 63 ----------------
 .../tests_new/test_restart_request.py         | 74 -------------------
 scripts/container_test/tests_new/test_up.py   | 20 -----
 scripts/container_test/tests_new/utils.py     | 64 ----------------
 11 files changed, 29 insertions(+), 377 deletions(-)
 rename scripts/container_test/{tests_new => tests}/__init__.py (100%)
 delete mode 100644 scripts/container_test/tests_new/container.py
 delete mode 100644 scripts/container_test/tests_new/test_down_request.py
 delete mode 100644 scripts/container_test/tests_new/test_restart_request.py
 delete mode 100644 scripts/container_test/tests_new/test_up.py
 delete mode 100644 scripts/container_test/tests_new/utils.py

diff --git a/scripts/container_test/tests_new/__init__.py b/scripts/container_test/tests/__init__.py
similarity index 100%
rename from scripts/container_test/tests_new/__init__.py
rename to scripts/container_test/tests/__init__.py
diff --git a/scripts/container_test/tests/container.py b/scripts/container_test/tests/container.py
index 4f15c2ccd..80c8535cd 100644
--- a/scripts/container_test/tests/container.py
+++ b/scripts/container_test/tests/container.py
@@ -1,8 +1,7 @@
 import json
 import subprocess
 import time
-from concurrent.futures import ProcessPoolExecutor
-from dataclasses import InitVar, dataclass, field
+from dataclasses import dataclass
 from typing import ClassVar, List
 
 compose_files = [
diff --git a/scripts/container_test/tests/test_down_request.py b/scripts/container_test/tests/test_down_request.py
index b1cca4c1c..51eabea18 100644
--- a/scripts/container_test/tests/test_down_request.py
+++ b/scripts/container_test/tests/test_down_request.py
@@ -1,9 +1,8 @@
 import pytest
 from quickmpc.exception import QMPCServerError
 
-from container import Containers
-from utils import (all_containers, cc_p, data_id, execute_computation,
-                   get_computation_result, job_uuid, mc_all, mc_p, send_share)
+from .container import Containers
+from .utils import all_containers, cc_p, df, mc_all, mc_p, qmpc
 
 
 @pytest.mark.parametrize(
@@ -19,7 +18,7 @@ def test_failed_send_share_with_down(down_container):
     # コンテナをdownさせてからsend_shareを送る
     down_container.down()
     with pytest.raises(QMPCServerError):
-        send_share()
+        qmpc.send_to(df)
 
 
 @pytest.mark.parametrize(
@@ -34,13 +33,12 @@ def test_failed_execute_computation_with_down(down_container):
     all_containers().up()
 
     # コンテナを落とす前にsend_shareしておく
-    data_id1: str = data_id()
-    data_id2: str = data_id()
+    sdf: str = qmpc.send_to(df)
 
     # コンテナをdownさせてからexecute_computation(hjoin)を送る
     down_container.down()
     with pytest.raises(QMPCServerError):
-        execute_computation(data_id1, data_id2)
+        sdf.join(sdf)
 
 
 @pytest.mark.parametrize(
@@ -54,9 +52,11 @@ def test_failed_get_computation_result_with_down(down_container):
     all_containers().up()
 
     # コンテナを落とす前にexecuteしておく
-    job_uuid1: str = job_uuid()
+    sdf: str = qmpc.send_to(df)
+    sdf_join = sdf.join(sdf)
+    sdf_join._wait_execute(progress=False)
 
     # コンテナをdownさせてからget_compuation_resultを送る
     down_container.down()
     with pytest.raises(QMPCServerError):
-        get_computation_result(job_uuid1)
+        sdf_join.to_data_frame()
diff --git a/scripts/container_test/tests/test_restart_request.py b/scripts/container_test/tests/test_restart_request.py
index 12cc42a1e..3bcd7f632 100644
--- a/scripts/container_test/tests/test_restart_request.py
+++ b/scripts/container_test/tests/test_restart_request.py
@@ -1,8 +1,7 @@
 import pytest
 
-from container import Containers
-from utils import (all_containers, bts_p, cc_p, data_id, execute_computation,
-                   get_computation_result, job_uuid, mc_all, mc_p, send_share)
+from .container import Containers
+from .utils import all_containers, bts_p, cc_p, df, mc_all, mc_p, qmpc
 
 
 @pytest.mark.parametrize(
@@ -17,9 +16,7 @@ def test_success_send_share_with_restart(restart_container):
 
     # コンテナをrestartさせてからsend_shareを送る
     restart_container.restart()
-    res = send_share()
-
-    assert res["is_ok"]
+    qmpc.send_to(df)
 
 
 @pytest.mark.parametrize(
@@ -34,35 +31,11 @@ def test_success_execute_computation_with_restart(restart_container):
     all_containers().up()
 
     # コンテナを落とす前にsend_shareしておく
-    data_id1: str = data_id()
-    data_id2: str = data_id()
-
-    # コンテナをrestartさせてからexecute_computationを送る
-    restart_container.restart()
-    res = execute_computation(data_id1, data_id2)
-
-    assert res["is_ok"]
-
-
-@pytest.mark.parametrize(
-    ("restart_container"), [
-        (mc_p(1)), (cc_p(1)),
-    ]
-)
-def test_success_execute_computations_with_restart(restart_container):
-    # 特定のコンテナをrestartさせてexecute_computationを送れるか
-    Containers.down_all()
-    all_containers().up()
-
-    # コンテナを落とす前にsend_shareしておく
-    data_id1: str = data_id()
-    data_id2: str = data_id()
+    sdf: str = qmpc.send_to(df)
 
     # コンテナをrestartさせてからexecute_computationを送る
     restart_container.restart()
-    res = execute_computation(data_id1, data_id2)
-
-    assert res["is_ok"]
+    sdf.join(sdf)
 
 
 @pytest.mark.parametrize(
@@ -76,13 +49,13 @@ def test_success_get_computation_result_with_restart(restart_container):
     all_containers().up()
 
     # コンテナを落とす前にexecuteしておく
-    job_uuid1: str = job_uuid()
+    sdf = qmpc.send_to(df)
+    sdf_join = sdf.join(sdf)
+    sdf_join._wait_execute(progress=False)
 
     # コンテナをrestartさせてからget_compuation_resultを送る
     restart_container.restart()
-    res = get_computation_result(job_uuid1)
-
-    assert res["is_ok"]
+    sdf_join.to_data_frame()
 
 
 @pytest.mark.parametrize(
@@ -96,5 +69,6 @@ def test_success_execute_multiple_with_restart(restart_container):
     all_containers().up()
 
     for _ in range(3):
-        job_uuid()
+        sdf: str = qmpc.send_to(df)
+        sdf.join(sdf)._wait_execute(progress=False)
         restart_container.restart()
diff --git a/scripts/container_test/tests/test_up.py b/scripts/container_test/tests/test_up.py
index 267914909..c1c2fb206 100644
--- a/scripts/container_test/tests/test_up.py
+++ b/scripts/container_test/tests/test_up.py
@@ -1,6 +1,6 @@
 import pytest
 
-from container import Containers
+from .container import Containers
 
 
 @pytest.mark.parametrize(
diff --git a/scripts/container_test/tests/utils.py b/scripts/container_test/tests/utils.py
index cd35a261a..e819adbfc 100644
--- a/scripts/container_test/tests/utils.py
+++ b/scripts/container_test/tests/utils.py
@@ -1,8 +1,8 @@
-import time
+import pandas as pd
+from quickmpc import QMPC, ShareDataFrame
+from quickmpc.qmpc_request import QMPCRequest
 
-from quickmpc import QMPC, JobStatus
-
-from container import Containers
+from .container import Containers
 
 """ 各種コンテナ """
 __cc_names = [
@@ -53,45 +53,10 @@ def all_containers() -> Containers:
 
 
 """ quickmpcへ簡易request群 """
-qmpc: QMPC = QMPC([
+qmpc: QMPC = QMPC(QMPCRequest([
     "http://localhost:50001",
     "http://localhost:50002",
     "http://localhost:50003",
-], retry_num=1, retry_wait_time=1)
-
-
-def send_share() -> dict:
-    return qmpc.send_share_from_csv_data([["a", "b", "c"],
-                                          [1, 2, 3], [4, 5, 6]])
-
-
-def data_id() -> str:
-    res_ss = send_share()
-    assert res_ss["is_ok"]
-    return res_ss["data_id"]
-
-
-def execute_computation(data_id1: str, data_id2: str) -> dict:
-    return qmpc.get_join_table([data_id1, data_id2])
-
-
-def job_uuid() -> str:
-    res_ec = execute_computation(data_id(), data_id())
-    assert res_ec["is_ok"]
-    job_uuid_: str = res_ec["job_uuid"]
-    # 計算結果が保存されるまで待機する
-    for _ in range(10):
-        time.sleep(3)
-        try:
-            res = qmpc.get_computation_status(job_uuid_)
-        except Exception:
-            continue
-        if res["statuses"] is not None:
-            if all([status == JobStatus.COMPLETED
-                    for status in res["statuses"]]):
-                return job_uuid_
-    raise RuntimeError("`execute` is not completed.")
-
+], 1, 1))
 
-def get_computation_result(job_uuid: str) -> dict:
-    return qmpc.get_computation_result(job_uuid)
+df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])
diff --git a/scripts/container_test/tests_new/container.py b/scripts/container_test/tests_new/container.py
deleted file mode 100644
index adc080bef..000000000
--- a/scripts/container_test/tests_new/container.py
+++ /dev/null
@@ -1,65 +0,0 @@
-import json
-import subprocess
-import time
-from concurrent.futures import ProcessPoolExecutor
-from dataclasses import dataclass, field
-from typing import ClassVar, List
-
-compose_files = [
-    "core",
-    "medium",
-    "dev",
-]
-compose_files_opt = " ".join(
-    [f"-f ../docker-compose.{t}.yml" for t in compose_files])
-
-
-@dataclass(frozen=True)
-class Containers:
-    __service_names: List[str]
-
-    __healthcheck_interval: ClassVar[int] = 3
-    __healthcheck_num: ClassVar[int] = 10
-
-    @staticmethod
-    def __container_id(service_name: str) -> str:
-        command = f"docker-compose {compose_files_opt} ps -q {service_name}"
-        container_id = subprocess.check_output([command], shell=True)
-        return container_id.decode("utf-8")[:-1]
-
-    @staticmethod
-    def __healthcheck(service_name: str) -> bool:
-        cid: str = Containers.__container_id(service_name)
-        command = "docker inspect --format ='{{json .State.Health}}' " f"{cid}"
-        for _ in range(Containers.__healthcheck_num):
-            row = subprocess.check_output([command], shell=True)
-            json_log = json.loads(row.decode("utf-8")[1:])
-            # NOTE: health checkが導入されてないコンテナもTrueとする
-            if not json_log or json_log["Status"] == "healthy":
-                return True
-            time.sleep(Containers.__healthcheck_interval)
-        return False
-
-    @staticmethod
-    def down_all() -> None:
-        command = f"docker-compose {compose_files_opt} down -v"
-        subprocess.run([command], shell=True)
-
-    def up(self) -> None:
-        sn_str = " ".join(self.__service_names)
-        command = f"docker-compose {compose_files_opt} up -d {sn_str}"
-        subprocess.run([command], shell=True)
-        # healthcheckが通るまで待機，timeoutを過ぎたらraise
-        for sn in self.__service_names:
-            if not Containers.__healthcheck(sn):
-                self.down()
-                raise RuntimeError(f"`{sn}` is not healthy.")
-
-    def down(self) -> None:
-        sn_str = " ".join(self.__service_names)
-        command = f"docker-compose {compose_files_opt} rm -fsv {sn_str}"
-        subprocess.run([command], shell=True)
-
-    def restart(self) -> None:
-        self.down()
-        self.up()
diff --git a/scripts/container_test/tests_new/test_down_request.py b/scripts/container_test/tests_new/test_down_request.py
deleted file mode 100644
index 54d7bffb2..000000000
--- a/scripts/container_test/tests_new/test_down_request.py
+++ /dev/null
@@ -1,63 +0,0 @@
-import pytest
-
-from quickmpc.exception import QMPCServerError
-
-from .container import Containers
-from .utils import all_containers, cc_p, df, mc_all, mc_p, qmpc
-
-
-@pytest.mark.parametrize(
-    ("down_container"), [
-        (mc_p(1)),
-    ]
-)
-def test_failed_send_share_with_down(down_container):
-    # 特定のコンテナがdownした状態でsend_shareを送ってエラーが出るかどうか
-    Containers.down_all()
-    mc_all().up()
-
-    # コンテナをdownさせてからsend_shareを送る
-    down_container.down()
-    with pytest.raises(QMPCServerError):
-        qmpc.send_to(df)
-
-
-@pytest.mark.parametrize(
-    ("down_container"), [
-        (mc_p(1)),
-        (cc_p(1)),
-    ]
-)
-def test_failed_execute_computation_with_down(down_container):
-    # 特定のコンテナがdownした状態でexecute_requestを送ってエラーが出るかどうか
-    Containers.down_all()
-    all_containers().up()
-
-    # コンテナを落とす前にsend_shareしておく
-    sdf: str = qmpc.send_to(df)
-
-    # コンテナをdownさせてからexecute_computation(hjoin)を送る
-    down_container.down()
-    with pytest.raises(QMPCServerError):
-        sdf.join(sdf)
-
-
-@pytest.mark.parametrize(
-    ("down_container"), [
-        (mc_p(1)),
-    ]
-)
-def test_failed_get_computation_result_with_down(down_container):
-    # 特定のコンテナがdownした状態でget_compuation_resultを送ってエラーが出るかどうか
-    Containers.down_all()
-    all_containers().up()
-
-    # コンテナを落とす前にexecuteしておく
-    sdf: str = qmpc.send_to(df)
-    sdf_join = sdf.join(sdf)
-    sdf_join._wait_execute(progress=False)
-
-    # コンテナをdownさせてからget_compuation_resultを送る
-    down_container.down()
-    with pytest.raises(QMPCServerError):
-        sdf_join.to_data_frame()
diff --git a/scripts/container_test/tests_new/test_restart_request.py b/scripts/container_test/tests_new/test_restart_request.py
deleted file mode 100644
index f7ebe1206..000000000
--- a/scripts/container_test/tests_new/test_restart_request.py
+++ /dev/null
@@ -1,74 +0,0 @@
-import pytest
-
-from .container import Containers
-from .utils import all_containers, bts_p, cc_p, df, mc_all, mc_p, qmpc
-
-
-@pytest.mark.parametrize(
-    ("restart_container"), [
-        (mc_p(1)),
-    ]
-)
-def test_success_send_share_with_restart(restart_container):
-    # 特定のコンテナをrestartさせてsend_shareを送れるか
-    Containers.down_all()
-    mc_all().up()
-
-    # コンテナをrestartさせてからsend_shareを送る
-    restart_container.restart()
-    qmpc.send_to(df)
-
-
-@pytest.mark.parametrize(
-    ("restart_container"), [
-        (mc_p(1)),
-        (cc_p(1)),
-    ]
-)
-def test_success_execute_computation_with_restart(restart_container):
-    # 特定のコンテナをrestartさせてexecute_computationを送れるか
-    Containers.down_all()
-    all_containers().up()
-
-    # コンテナを落とす前にsend_shareしておく
-    sdf: str = qmpc.send_to(df)
-
-    # コンテナをrestartさせてからexecute_computationを送る
-    restart_container.restart()
-    sdf.join(sdf)
-
-
-@pytest.mark.parametrize(
-    ("restart_container"), [
-        (mc_p(1)),
-    ]
-)
-def test_success_get_computation_result_with_restart(restart_container):
-    # 特定のコンテナをrestartさせてget_compuation_resultを送れるか
-    Containers.down_all()
-    all_containers().up()
-
-    # コンテナを落とす前にexecuteしておく
-    sdf: str = qmpc.send_to(df)
-    sdf_join = sdf.join(sdf)
-    sdf_join._wait_execute(progress=False)
-
-    # コンテナをrestartさせてからget_compuation_resultを送る
-    restart_container.restart()
-    sdf_join.to_data_frame()
-
-
-@pytest.mark.parametrize(
-    ("restart_container"), [
-        (mc_p(1)), (cc_p(1)), (bts_p()),
-    ]
-)
-def test_success_execute_multiple_with_restart(restart_container):
-    # 特定のコンテナをrestartさせてhjoinを何回も計算できるか
-    Containers.down_all()
-    all_containers().up()
-
-    for _ in range(3):
-        sdf: str = qmpc.send_to(df)
-        sdf.join(sdf)._wait_execute(progress=False)
-        restart_container.restart()
diff --git a/scripts/container_test/tests_new/test_up.py b/scripts/container_test/tests_new/test_up.py
deleted file mode 100644
index 267914909..000000000
--- a/scripts/container_test/tests_new/test_up.py
+++ /dev/null
@@ -1,20 +0,0 @@
-import pytest
-
-from container import Containers
-
-
-@pytest.mark.parametrize(
-    ("container"), [
-        (Containers(["dev_cc1"])),
-        (Containers(["dev_cc2"])),
-        (Containers(["dev_cc3"])),
-        (Containers(["dev_mc1"])),
-        (Containers(["dev_mc2"])),
-        (Containers(["dev_mc3"])),
-        (Containers(["dev_bts"])),
-    ]
-)
-def test_up(container):
-    # コンテナ単体で起動してhealthcheckが通るかtest
-    Containers.down_all()
-    container.up()
diff --git a/scripts/container_test/tests_new/utils.py b/scripts/container_test/tests_new/utils.py
deleted file mode 100644
index c843aa3be..000000000
--- a/scripts/container_test/tests_new/utils.py
+++ /dev/null
@@ -1,64 +0,0 @@
-import pandas as pd
-from quickmpc import JobStatus
-from quickmpc.qmpc_new import QMPC
-from quickmpc.qmpc_request import QMPCRequest
-from quickmpc.share_data_frame import ShareDataFrame
-
-from .container import Containers
-
-""" 各種コンテナ """
-__cc_names = [
-    "dev_cc1",
-    "dev_cc_envoy1",
-    "dev_cc3",
-    "dev_cc_envoy2",
-    "dev_cc2",
-    "dev_cc_envoy3",
-]
-__mc_names = [
-    "dev_mc1",
-    "dev_mc_envoy1",
-    "dev_mc2",
-    "dev_mc_envoy2",
-    "dev_mc3",
-    "dev_mc_envoy3",
-]
-__bts_names = [
-    "dev_bts",
-]
-
-
-def cc_p(n: int) -> Containers:
-    # 1-indexでparty-nのCCを返す
-    return Containers(__cc_names[2*n-2:2*n])
-
-
-def cc_all() -> Containers:
-    return Containers(__cc_names)
-
-
-def mc_p(n: int) -> Containers:
-    # 1-indexでparty-nのMCを返す
-    return Containers(__mc_names[2*n-2:2*n])
-
-
-def mc_all() -> Containers:
-    return Containers(__mc_names)
-
-
-def bts_p() -> Containers:
-    return Containers(__bts_names)
-
-
-def all_containers() -> Containers:
-    return Containers(__cc_names+__mc_names+__bts_names)
-
-
-""" quickmpcへ簡易request群 """
-qmpc: QMPC = QMPC(QMPCRequest([
-    "http://localhost:50001",
-    "http://localhost:50002",
-    "http://localhost:50003",
-], 1, 1))
-
-df = pd.DataFrame([[1, 2, 3], [4, 5, 6]], columns=["a", "b", "c"])

From 1131787f9f10d0f6697e811c371d0eac11da5a97 Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Thu, 6 Jul 2023 11:17:02 +0900
Subject: [PATCH 5/9] remove old libclient medium test CI

---
 .github/workflows/test-server-all.yml | 45 +--------------------------
 1 file changed, 1 insertion(+), 44 deletions(-)

diff --git a/.github/workflows/test-server-all.yml b/.github/workflows/test-server-all.yml
index be8984ed8..3ced606f4 100644
--- a/.github/workflows/test-server-all.yml
+++ b/.github/workflows/test-server-all.yml
@@ -189,49 +189,7 @@ jobs:
         test_name:
           [
             correl,
-            get_elapsed_time,
-            job_error_info,
-            join,
-            mean,
-            parallel,
-            send_share,
-            string,
-            sum,
-            token,
-            variance,
             get_computation_result
-          ]
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v2
-        with:
-          fetch-depth: 0
-          token: ${{ secrets.CI_REPOSITORY_ACCESS_TOKEN }}
-          submodules: true
-
-      - name: Update .bazelrc for using remote cache
-        run: |
-          eval "echo \"$(cat ./.github/workflows/.bazelrc_for_ci)\"" >> ./packages/server/computation_container/.bazelrc
-        env:
-          BUILDBUDDY_API_KEY: ${{ secrets.BUILDBUDDY_API_KEY }}
-
-      - name: Log into registry
-        run: echo "${{ secrets.GITHUB_TOKEN }}" | docker login ghcr.io -u ${{ github.repository_owner }} --password-stdin
-
-      - uses: ./.github/actions/prepare_libclient_test
-
-      - name: Run container test
-        run: docker-compose ${{ env.COMPOSE_FILES_OPT }} run medium-libc pytest src/tests/test_${{ matrix.test_name }}.py -s -v -log-cli-level=DEBUG
-        working-directory: ./scripts
-
-  medium_test_libclient_new:
-    runs-on: ubuntu-latest
-    strategy:
-      fail-fast: false
-      matrix:
-        test_name:
-          [
-            correl,
             get_elapsed_time,
             job_error_info,
             join,
@@ -242,7 +200,6 @@ jobs:
             sum,
             token,
             variance,
-            get_computation_result
           ]
     steps:
       - name: Checkout
@@ -264,7 +221,7 @@ jobs:
       - uses: ./.github/actions/prepare_libclient_test
 
       - name: Run container test
-        run: docker-compose ${{ env.COMPOSE_FILES_OPT }} run medium-libc pytest src/tests_new/test_${{ matrix.test_name }}.py -s -v -log-cli-level=DEBUG
+        run: docker-compose ${{ env.COMPOSE_FILES_OPT }} run medium-libc pytest src/tests/test_${{ matrix.test_name }}.py -s -v -log-cli-level=DEBUG
         working-directory: ./scripts
 
   medium_test_container_up:

From 48ea5b5db3d984e6944ae6ebaf9d89cb6fa9d265 Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Thu, 6 Jul 2023 11:22:47 +0900
Subject: [PATCH 6/9] Remove old csv data

---
 scripts/docker-compose.medium.yml             |     5 +-
 .../libclient/data/table_data_10000x10.csv    | 10001 ----------------
 scripts/libclient/data/table_data_1000x10.csv |  1001 --
 scripts/libclient/data/table_data_100x100.csv |   101 -
 scripts/libclient/data/table_data_5x5.csv     |     6 -
 .../data/table_data_5x5_for_failjoin.csv      |     6 -
 .../data/table_data_5x5_for_join.csv          |     6 -
 scripts/libclient/medium_test.sh              |     2 +-
 8 files changed, 5 insertions(+), 11123 deletions(-)
 delete mode 100644 scripts/libclient/data/table_data_10000x10.csv
 delete mode 100644 scripts/libclient/data/table_data_1000x10.csv
 delete mode 100644 scripts/libclient/data/table_data_100x100.csv
 delete mode 100644 scripts/libclient/data/table_data_5x5.csv
 delete mode 100644 scripts/libclient/data/table_data_5x5_for_failjoin.csv
 delete mode 100644 scripts/libclient/data/table_data_5x5_for_join.csv

diff --git a/scripts/docker-compose.medium.yml b/scripts/docker-compose.medium.yml
index 1d167154a..ab0b800e1 100644
--- a/scripts/docker-compose.medium.yml
+++ b/scripts/docker-compose.medium.yml
@@ -223,5 +223,8 @@ services:
       - target: /libclient/src
         source: ./libclient/src
         type: bind
-    tty: true
+    command:
+      - /bin/bash
+      - '-c'
+      - pip list
     network_mode: host
diff --git a/scripts/libclient/data/table_data_10000x10.csv b/scripts/libclient/data/table_data_10000x10.csv
deleted file mode 100644
index f095afdcd..000000000
--- a/scripts/libclient/data/table_data_10000x10.csv
+++ /dev/null
@@ -1,10001 +0,0 @@
-id,attr1,attr2,attr3,attr4,attr5,attr6,attr7,attr8,attr9,attr10
-id1,0.48984129224625894,0.00313050534753323,0.745894383563252,0.0010523701073553715,0.16186408713200973,0.12939542442474383,0.1123723235078321,0.8521160492218661,0.940099818760683,0.5940436772850836
-id2,0.26758193217205994,0.6908961424152226,0.3398379881938688,0.3256763027678644,0.12169321248824405,0.3544695386248272,0.8608692831724756,0.7521406763171451,0.8493875561547476,0.13146588417989657
-id3,0.24364324857510222,0.9804947037107687,0.4955696446892208,0.3637211260111841,0.4439721067596981,0.13973854951318876,0.7465980519092211,0.7932985490228454,0.7412026478637374,0.7061194991723001
-id4,0.1109386954180962,0.6184528743092658,0.7469049119934331,0.6586838997616223,0.7323359645390665,0.8329971846943299,0.6079746309235415,0.7592558685736166,0.3577344055182463,0.5552627272842114
-id5,0.5975674818021266,0.7561655284384228,0.5256507908186882,0.725991672948647,0.5568681147363923,0.3695717510265212,0.965633911115488,0.6204537846809294,0.3589697444053057,0.21556524706586633
-id6,0.4164265861839873,0.05918622053271394,0.829476465289901,0.221075211426067,0.08752711102699151,0.6457599999038309,0.27950263190384583,0.02364040490142505,0.17452944775660584,0.5643609135107639
-id7,0.8995680748027299,0.871891718554246,0.8222469192117304,0.9807915391577733,0.1148779399613522,0.12770394368719618,0.37129311785370267,0.24298605738839896,0.08598326829704761,0.7748131913632278
-id8,0.28348929063130646,0.20785994876156166,0.49008518584977956,0.16869275976795117,0.9662264686407401,0.06910058758610538,0.31875446218030656,0.18083816420495036,0.28974103447420085,0.07464337167272528
-id9,0.5043999970352738,0.17557004794315667,0.6537402142959149,0.2189570732231817,0.7532409021117515,0.3575488824104631,0.09909494527087381,0.8288230037811326,0.33783591251473843,0.860612823812147
-id10,0.5858573012230823,0.9504979562802579,0.6606845442579077,0.8357149163318179,0.23709559381103418,0.9699103546783983,0.2079256876817588,0.70341604003409,0.7384309688498915,0.6239053618438513
-id11,0.4766740872284917,0.9993362998185376,0.12487164206893164,0.2785779275384379,0.47995311148148934,0.553264974391561,0.6799500900283776,0.6523433535903931,0.23139104923800935,0.5139133438158453
-id12,0.30992510163371423,0.8507812430651073,0.3457272354429336,0.37431575133474015,0.3617535160404234,0.8679547618473242,0.27043933595937975,0.7499197063238389,0.3918316325432746,0.38332660266310625
-id13,0.6362869012599411,0.6493913052088056,0.24603474254699764,0.6526405344037963,0.3803050136836159,0.476558690309393,0.40271941491203855,0.23624510350651728,0.4761501994552676,0.13167858696550183
-id14,0.8136445442613848,0.9367474464897033,0.8083124369608051,0.33532733295284756,0.14739136504711203,0.2384604551083882,0.28171271400026543,0.14006016278187094,0.3965570767424933,0.109549974323631
-id15,0.2684871248885652,0.7700602304174795,0.07474706039399404,0.3334971446390841,0.3960686765290855,0.8473817278405381,0.6117469968786211,0.7496399167152792,0.6966255921891189,0.2689299488486312
-id16,0.5164949501871078,0.47735372746209415,0.2048755963936828,0.027411541739417178,0.7190431005194962,0.6383277484149738,0.8453365099548547,0.880099071338124,0.11453914745540761,0.287889429243262
-id17,0.8974240159439573,0.5307219175882414,0.6350174022151382,0.9256528286769291,0.9005517346509783,0.5979814282439468,0.1929632477095925,0.5270885625362666,0.27799072797983804,0.9836320636768283
-id18,0.20735019248993847,0.40693707999732376,0.7777857683828152,0.7302544683581098,0.11913838400613541,0.7993241691998608,0.16320583379903197,0.09259861976694961,0.5800563272460917,0.20359699309778645
-id19,0.06805106931577476,0.33702923953649244,0.988519140773186,0.7666772826785652,0.9174453735139946,0.23406442125782478,0.6734606847304933,0.8834119046631329,0.41050716882194693,0.31263541403355355
-id20,0.3953856815450145,0.01921258182782215,0.7427461840477945,0.7108196913597027,0.7219830038323212,0.7790674291986219,0.904409501043862,0.332308798614824,0.36588197740650463,0.973729733969464
-id21,0.8295567995983197,0.002688476987763755,0.5515005927742381,0.36068433805463884,0.806378500506183,0.8057866593980482,0.5252565988555085,0.707175779772376,0.9773234105952192,0.6817263584109802
-id22,0.5919571995444293,0.436281520110271,0.0993849460112125,0.48109665084455633,0.585491190950513,0.8242846363692964,0.21685892817566954,0.9670964005280696,0.13100700371042207,0.2724701085332193
-id23,0.6192929855626204,0.6630807365283736,0.9997859094717778,0.30596328815361495,0.6334749519972906,0.2593567169027179,0.4621020469967114,0.7121381265344362,0.49478570848985304,0.3852327804840897
-id24,0.4057786794245277,0.0823508784332303,0.43112813531198513,0.28195341849067435,0.2948967081231779,0.32382687806967725,0.023225130791431625,0.21522791294321486,0.4211912211530833,0.8600905207586165
-id25,0.4987534270336479,0.90103168820881,0.5002913973090567,0.13615208556253589,0.39420222970662855,0.0992140098984734,0.19950220723486367,0.7332013718213989,0.08558711078625181,0.43495487784311926
-id26,0.061662946800588925,0.48363171213144696,0.7774681989032743,0.09865950081813357,0.5580196719796835,0.8239601404857577,0.7975791114105241,0.053158665785689285,0.5752272057480402,0.24521153228154624
-id27,0.7810998827268848,0.7468945233347092,0.3986454567215528,0.8858347719096024,0.6998021543516767,0.9245780007793313,0.6648801633653734,0.24922227659489626,0.7347814161275057,0.3259066072115633
-id28,0.9917697694908615,0.07489917384255562,0.5294940142468284,0.6875438263783361,0.24778516928507455,0.28704210792827745,0.482767852053945,0.4759389394825506,0.9009385816246553,0.9796818076937
-id29,0.18227967129893596,0.34373741019642357,0.7092769943096477,0.7615147473221247,0.7523519768279441,0.7093010010761235,0.3164292994194974,0.7886805900437625,0.40785899171405393,0.347128463282691
-id30,0.15996393036966028,0.8353970167589797,0.47437096364160236,0.09622249176608444,0.7712995041162858,0.9022877480033559,0.6626681129934611,0.5184501205867225,0.1528219227106855,0.10833433454438379
-id31,0.03498407954957372,0.6801635755746812,0.5948395847703045,0.27744538827085086,0.9804408781293331,0.7422865411408889,0.9107391325340404,0.9111555004061189,0.22930217110514128,0.021806508547490222
-id32,0.11765348564985745,0.4061053001720898,0.9607711917162048,0.13987639276257013,0.05519902750095085,0.01019735451937731,0.4646990067671046,0.31247959862097674,0.713187738988102,0.1515138660188805
-id33,0.3421884654699533,0.5828173071798793,0.8346234100804973,0.19215063524317388,0.6446170171529463,0.702338268501315,0.03430691915691986,0.6423457738496798,0.2727807909809037,0.5290540650732642
-id34,0.8613012464502326,0.971521735761483,0.8598366402173034,0.7551237945969348,0.7805829401734415,0.10763469156807937,0.42024958547846136,0.008341722706471821,0.1462887513540284,0.9063114035741826
-id35,0.18859532628150044,0.22378401330957365,0.06287900138440983,0.5916421085881064,0.3807614162845957,0.42870768675884074,0.48474593761404494,0.6344985937379426,0.531526706850366,0.207361513750848
-id36,0.4677267247869499,0.23872860796880102,0.9201146089002518,0.5954303191376333,0.6336042523448413,0.8141218893067472,0.5218574344814949,0.716399989462834,0.453185352342083,0.25726518538884
-id37,0.017834533820164977,0.837703954801637,0.44653347155907286,0.9152579875435062,0.7644160923569273,0.8842132594311142,0.25978744852215807,0.38260097957998407,0.07887902698862392,0.7795541613325627
-id38,0.5454867753543063,0.4189984645240661,0.8576259893624287,0.3600249945538462,0.5403603979190814,0.9037772482927628,0.12709837660468815,0.6334060822304317,0.06703689590117734,0.9096073336144003
-id39,0.2724867570812306,0.16708844462615546,0.10896950478135448,0.5752338680558422,0.348180028813192,0.9220204845107411,0.6977595157656202,0.5173343720550927,0.6576203218017239,0.8776181848756
-id40,0.3024008348329875,0.29735936034140786,0.624605093116744,0.6270983965927679,0.6784663699292021,0.7287535795758789,0.9785768986891175,0.5330658176075408,0.5285287914474104,0.9131865202655418
-id41,0.921891270272064,0.9923452134231276,0.4543607288511584,0.2751774589067274,0.4694112176978338,0.1558943843224051,0.6153565853888127,0.6821590665945442,0.014491212002627374,0.8082693274623619
-id42,0.1496020384329252,0.1054462969620078,0.19175136199068632,0.9206210858450413,0.46924434785604696,0.49316749019079476,0.9993331988672634,0.9867555847063832,0.9873129964890445,0.9059577490694
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diff --git a/scripts/libclient/data/table_data_1000x10.csv b/scripts/libclient/data/table_data_1000x10.csv
deleted file mode 100644
index a1dc19490..000000000
--- a/scripts/libclient/data/table_data_1000x10.csv
+++ /dev/null
@@ -1,1001 +0,0 @@
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diff --git a/scripts/libclient/data/table_data_100x100.csv b/scripts/libclient/data/table_data_100x100.csv
deleted file mode 100644
index 5655f84da..000000000
--- a/scripts/libclient/data/table_data_100x100.csv
+++ /dev/null
@@ -1,101 +0,0 @@
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-id98,0.07529110806538264,0.9861522600520753,0.22627813393700635,0.29304087239938326,0.8554771709407722,0.17815125947591248,0.1552724308217801,0.43534668475093974,0.3094797222450103,0.44043885270980165,0.5037626973767771,0.09050048419601053,0.32827968958755316,0.5027684245950926,0.46825783769092033,0.9340021069905533,0.031764942190400935,0.29589818916451915,0.17271640480957529,0.36292811109611944,0.8994695310952194,0.5019432412140106,0.605377218892077,0.1282337609637082,0.9513014324642362,0.6802950894736182,0.22330290848716172,0.3796013338788006,0.2970500143527136,0.12425787977285307,0.9887595026736434,0.10051926488596874,0.08834282239370372,0.9467350192072853,0.8358918355888473,0.8791897069056199,0.41724158870915806,0.07744822006992003,0.12382093961635776,0.8192217953498586,0.44671888170120455,0.07217812806039003,0.8615541448624612,0.40578750081297854,0.2745800134895928,0.06146909538790846,0.34699604522795346,0.5037375265721186,0.6670383045155643,0.0776648451570291,0.7733357044528774,0.7966480790930417,0.5181833541857026,0.9264713315156942,0.443845738301047,0.931576989061434,0.015823859972965537,0.47064631396709355,0.28286834455289944,0.21556818054478477,0.1380321832679784,0.43760341266861436,0.8136119138539089,0.2264748217637883,0.8525794165451268,0.8284456212487821,0.5802008979022658,0.1473500802990284,0.05428338015318834,0.7592402539816382,0.3573748349978979,0.1349927254172284,0.15281337655442195,0.3034822493077164,0.7804112053413349,0.08730473328576871,0.7155686839552733,0.8990074840937463,0.7181035199393443,0.5567674924787778,0.816896602279632,0.3926840481330778,0.32136197339143047,0.9021245490827067,0.11853670986211806,0.6891357188814694,0.5336691116096924,0.43810552585969087,0.8713228620109629,0.3754167591604308,0.5413813662336682,0.48366966566607184,0.5161779310435819,0.3691486934062683,0.2580319316930262,0.6412324095326454,0.0432104080118999,0.8886204767562051,0.4421641564411851,0.452618684052163
-id99,0.09114463868335132,0.053009167852872574,0.584599235184285,0.27008555441995785,0.09065710333356913,0.47113885459619553,0.35119477533333643,0.5889149497136874,0.3748217348517081,0.313622054692546,0.9482801410162126,0.32508960566447875,0.9095224759358328,0.9304194683479898,0.4073855408438465,0.38042605696067755,0.35705919441681555,0.9906104119753371,0.9166817274333013,0.6305042659038401,0.5923821603187356,0.12370873810426464,0.4850213488280506,0.3435411804210481,0.18299503419059648,0.5116799142092547,0.28858398589058143,0.7563302930729626,0.2324624816768177,0.975166065068485,0.2867996429484777,0.13212234242496357,0.27908862139453317,0.0276518976151906,0.21008435736557818,0.7299721816576393,0.5336209939625757,0.6624522655109308,0.8686100168297943,0.6275561737345788,0.9098724678796433,0.006612069885987948,0.9355672319139279,0.7090604692576213,0.8050468410784497,0.4895709661879045,0.3372684455112457,0.8219490145431676,0.21257952853789253,0.652679759706426,0.4631609651578523,0.2717214793108379,0.6553872725723671,0.01777876530156952,0.8230282916093077,0.34661653135131865,0.8860580886007752,0.9848862085119059,0.33608816006948605,0.9392453083829742,0.5880835335050186,0.8716847987530951,0.13355595594770275,0.2232248275977946,0.7223509533277904,0.6237427955133074,0.6934999291570204,0.5811231168914498,0.3366851580550526,0.8116751709012746,0.8847919001149892,0.25368905646503104,0.0424279890434438,0.8935867857185487,0.25444716579667026,0.9004769863120679,0.8310102734789614,0.22161050592937137,0.3560116289208841,0.6318630756184326,0.8635993748268576,0.19159718671541026,0.7716538748959593,0.09423235202760982,0.8380619959831715,0.07244366582852901,0.6209926755930552,0.307497272826347,0.10260091772535573,0.8841631851813826,0.16946196892040222,0.6459454105477609,0.5730676599407474,0.07018767347271537,0.4131349695679276,0.17729485302147263,0.9087163067401808,0.02660640513552115,0.9196881976954429,0.38904224355750905
-id100,0.3122981149864621,0.7046540528605717,0.5880944098735293,0.7329822428060818,0.6281585610121828,0.3520710082021552,0.509233283469715,0.5715611786314166,0.7647346985063075,0.016902963427788742,0.364081092320922,0.5834194645157835,0.7573714760112641,0.27669995377810686,0.5555633488543309,0.8615410892811128,0.5296670926381838,0.3433948284626367,0.25374591148076486,0.7464148449964391,0.3420565314051498,0.5917081196254554,0.6577547004071331,0.09435975610619174,0.26408543530930995,0.3651118919258851,0.7980113111945571,0.20643281413075887,0.5280819494580049,0.7492060789748287,0.29363406170990103,0.12843788472606488,0.6487419657759306,0.9950827911295682,0.4708686686036737,0.6036662228929162,0.099248157482973,0.39709795139322746,0.6247491428128225,0.01808196466577905,0.8637711130079618,0.762990932375942,0.32743436717256547,0.11003541871670142,0.32733552701576607,0.4125040356370355,0.4430095827527798,0.010124494896322056,0.5728544225785693,0.00947009407191124,0.23518569280905233,0.9267205106996945,0.5046999285414784,0.47781015482873335,0.9086351960244043,0.7868140401453961,0.024675004704887038,0.9066487603498846,0.8585862616383463,0.42043925634239365,0.6256813431185763,0.6524530744932125,0.6618191894199222,0.6114224722522961,0.38744353144625454,0.5056625128342929,0.9520323393855736,0.41234934598645734,0.22667500590127965,0.6118318634379187,0.46500611542102055,0.6701738199919127,0.5104311488182949,0.5014228418366888,0.04514741960104418,0.8485802821299375,0.29495849428147813,0.403863233954579,0.4033505392716228,0.6875750556032595,0.26932056413748584,0.40342652029635817,0.5314551666057826,0.48373442732068406,0.1386177291149866,0.8218343703589217,0.610794158390723,0.34978827387071165,0.3699295256968581,0.21798596142085536,0.1708587638950818,0.5874726680121932,0.42327077117106704,0.9066765717388401,0.9982496796203334,0.263882469979537,0.3706983236110234,0.37724610765640465,0.40313712041629046,0.23537224269526014
diff --git a/scripts/libclient/data/table_data_5x5.csv b/scripts/libclient/data/table_data_5x5.csv
deleted file mode 100644
index ad00c2c72..000000000
--- a/scripts/libclient/data/table_data_5x5.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-id,attr1,attr2,attr3,attr4,attr5
-a,1,2,3,8,1
-b,1,2,2,13,1
-c,2,5,7,22,0
-d,3,1,1,35,1
-e,5,2,4,57,0
diff --git a/scripts/libclient/data/table_data_5x5_for_failjoin.csv b/scripts/libclient/data/table_data_5x5_for_failjoin.csv
deleted file mode 100644
index 8735aa100..000000000
--- a/scripts/libclient/data/table_data_5x5_for_failjoin.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-id,attr10,attr20,attr30,attr40,attr50
-h,1,2,3,8,1
-i,1,2,2,13,1
-j,2,5,7,22,0
-k,3,1,1,35,1
-l,5,2,4,57,0
diff --git a/scripts/libclient/data/table_data_5x5_for_join.csv b/scripts/libclient/data/table_data_5x5_for_join.csv
deleted file mode 100644
index 7770d8315..000000000
--- a/scripts/libclient/data/table_data_5x5_for_join.csv
+++ /dev/null
@@ -1,6 +0,0 @@
-id,attr1,attr2,attr3,attrX,attrY
-a,1,2,3,8,1
-b,1,2,2,13,1
-c,2,5,7,22,0
-x,3,1,1,35,1
-y,5,2,4,57,0
diff --git a/scripts/libclient/medium_test.sh b/scripts/libclient/medium_test.sh
index 6ef2225fe..a4cd8c9fd 100644
--- a/scripts/libclient/medium_test.sh
+++ b/scripts/libclient/medium_test.sh
@@ -14,7 +14,7 @@ setup() {
 # run処理を記述する関数
 # NOTE: この関数は例外的にワンライナーで書かなくて良い
 run() {
-    docker-compose $COMPOSE_FILES_OPT up medium-libc
+    docker-compose $COMPOSE_FILES_OPT run medium-libc pytest src/tests -s -v -log-cli-level=DEBUG
 }
 
 # runの後に実行されるteardown処理を記述する関数

From 43dd5a324378a05be9cb2112d84fda6dd40bebef Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Mon, 10 Jul 2023 18:47:57 +0900
Subject: [PATCH 7/9] Fix ci

---
 .github/workflows/test-server-all.yml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.github/workflows/test-server-all.yml b/.github/workflows/test-server-all.yml
index 3ced606f4..02f784b98 100644
--- a/.github/workflows/test-server-all.yml
+++ b/.github/workflows/test-server-all.yml
@@ -189,7 +189,7 @@ jobs:
         test_name:
           [
             correl,
-            get_computation_result
+            get_computation_result,
             get_elapsed_time,
             job_error_info,
             join,

From ffba4687a4cacaae9f2028db0b35695dbd145aff Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Mon, 10 Jul 2023 19:12:33 +0900
Subject: [PATCH 8/9] Remove not exist test

---
 .github/workflows/test-server-all.yml | 1 -
 1 file changed, 1 deletion(-)

diff --git a/.github/workflows/test-server-all.yml b/.github/workflows/test-server-all.yml
index 02f784b98..eba03c9d3 100644
--- a/.github/workflows/test-server-all.yml
+++ b/.github/workflows/test-server-all.yml
@@ -261,7 +261,6 @@ jobs:
           [
             send_share,
             execute_computation,
-            execute_computations,
             get_computation_result,
             execute_multiple
           ]

From 6bcccdec18ca2f0b09eb50aef7044ef600aea64d Mon Sep 17 00:00:00 2001
From: Nakata <ryosuke.nakata@acompany-ac.com>
Date: Tue, 11 Jul 2023 15:50:45 +0900
Subject: [PATCH 9/9] Add anotation to demo

---
 demo/client_demo/scripts/execute_demo.py  |  8 +++++---
 demo/client_demo/scripts/join_demo.py     | 13 ++++++++-----
 demo/client_demo/scripts/meshcode_demo.py |  8 +++++---
 demo/client_demo/scripts/progress_demo.py | 13 ++++++++-----
 4 files changed, 26 insertions(+), 16 deletions(-)

diff --git a/demo/client_demo/scripts/execute_demo.py b/demo/client_demo/scripts/execute_demo.py
index cfecb9dc9..aeae921fd 100644
--- a/demo/client_demo/scripts/execute_demo.py
+++ b/demo/client_demo/scripts/execute_demo.py
@@ -1,5 +1,6 @@
 import logging
 
+import pandas as pd
 import quickmpc
 
 if __name__ == '__main__':
@@ -10,7 +11,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc = quickmpc.QMPC(
+    qmpc: quickmpc.QMPC = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
@@ -18,8 +19,9 @@
 
     """ Step 2. シェア送信 """
     data_dir: str = "../data/"
-    df = qmpc.read_csv(f"{data_dir}/data-statistic.csv", index_col="id")
-    sdf = qmpc.send_to(df)
+    df: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-statistic.csv",
+                                     index_col="id")
+    sdf: quickmpc.ShareDataFrame = qmpc.send_to(df)
 
     """ Step 3. 各種統計演算 """
     logger.info(sdf.sum([2, 3, 4]).to_data_frame())
diff --git a/demo/client_demo/scripts/join_demo.py b/demo/client_demo/scripts/join_demo.py
index 984d39219..8e42565dc 100644
--- a/demo/client_demo/scripts/join_demo.py
+++ b/demo/client_demo/scripts/join_demo.py
@@ -1,5 +1,6 @@
 import logging
 
+import pandas as pd
 import quickmpc
 
 if __name__ == '__main__':
@@ -10,7 +11,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc = quickmpc.QMPC(
+    qmpc: quickmpc.QMPC = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
@@ -18,10 +19,12 @@
 
     """ Step 2. シェア送信 """
     data_dir: str = "../data/"
-    df1 = qmpc.read_csv(f"{data_dir}/data-join1.csv", index_col="id")
-    df2 = qmpc.read_csv(f"{data_dir}/data-join2.csv", index_col="id")
-    sdf1 = qmpc.send_to(df1)
-    sdf2 = qmpc.send_to(df2)
+    df1: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-join1.csv",
+                                      index_col="id")
+    df2: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-join2.csv",
+                                      index_col="id")
+    sdf1: quickmpc.ShareDataFrame = qmpc.send_to(df1)
+    sdf2: quickmpc.ShareDataFrame = qmpc.send_to(df2)
 
     """ Step 3. join"""
     logger.info(sdf1.join(sdf2).to_data_frame())
diff --git a/demo/client_demo/scripts/meshcode_demo.py b/demo/client_demo/scripts/meshcode_demo.py
index 4e4310332..2af4300d7 100644
--- a/demo/client_demo/scripts/meshcode_demo.py
+++ b/demo/client_demo/scripts/meshcode_demo.py
@@ -1,5 +1,6 @@
 import logging
 
+import pandas as pd
 import quickmpc
 
 if __name__ == '__main__':
@@ -10,7 +11,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc = quickmpc.QMPC(
+    qmpc: quickmpc.QMPC = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
@@ -18,8 +19,9 @@
 
     """ Step 2. シェア送信 """
     data_dir: str = "../data/"
-    df = qmpc.read_csv(f"{data_dir}/data-meshcode.csv", index_col="id")
-    sdf = qmpc.send_to(df)
+    df: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-meshcode.csv",
+                                     index_col="id")
+    sdf: quickmpc.ShareDataFrame = qmpc.send_to(df)
 
     """ Step 3. 各種統計演算 """
     logger.info(sdf.meshcode([2, 3, 4, 5]).to_data_frame())
diff --git a/demo/client_demo/scripts/progress_demo.py b/demo/client_demo/scripts/progress_demo.py
index 8046748c2..2b2cddec1 100644
--- a/demo/client_demo/scripts/progress_demo.py
+++ b/demo/client_demo/scripts/progress_demo.py
@@ -1,5 +1,6 @@
 import logging
 
+import pandas as pd
 import quickmpc
 
 if __name__ == '__main__':
@@ -10,7 +11,7 @@
     quickmpc.get_logger().setLevel(level=logging.DEBUG)
 
     """ Step 1. QMPCの設定 """
-    qmpc = quickmpc.QMPC(
+    qmpc: quickmpc.QMPC = quickmpc.QMPC(
         ["http://localhost:50001",
          "http://localhost:50002",
          "http://localhost:50003"]
@@ -18,10 +19,12 @@
 
     """ Step 2. シェア送信 """
     data_dir: str = "../data/"
-    df1 = qmpc.read_csv(f"{data_dir}/data1-1.csv", index_col="id")
-    df2 = qmpc.read_csv(f"{data_dir}/data1-2.csv", index_col="id")
-    sdf1 = qmpc.send_to(df1)
-    sdf2 = qmpc.send_to(df2)
+    df1: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-join1.csv",
+                                      index_col="id")
+    df2: pd.DataFrame = qmpc.read_csv(f"{data_dir}/data-join2.csv",
+                                      index_col="id")
+    sdf1: quickmpc.ShareDataFrame = qmpc.send_to(df1)
+    sdf2: quickmpc.ShareDataFrame = qmpc.send_to(df2)
 
     """ Step 3. 進捗ログ付きでjoin"""
     df = sdf1.join(sdf2).to_data_frame(progress=True)