xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

33bf312d61889caf3d9d3bc15a32a92c0239bac6

3,157

py

Python

tests/path_checker/test_convert_sub.py

yumechi/webp_image_converter

dd5e3dfa0fb36251fb6b17bae0989d0f8091b677

[ "MIT" ]

null

tests/path_checker/test_convert_sub.py

yumechi/webp_image_converter

dd5e3dfa0fb36251fb6b17bae0989d0f8091b677

[ "MIT" ]

null

tests/path_checker/test_convert_sub.py

yumechi/webp_image_converter

dd5e3dfa0fb36251fb6b17bae0989d0f8091b677

[ "MIT" ]

null

""" ファイル名などの細かい変換をする関数たちのテスト """ import os import pathlib from pathlib import PosixPath from src.converter import file_conveter def test_is_file_green_1(): green_path: PosixPath = pathlib.PosixPath("green.jpg") assert file_conveter._is_image(green_path) def test_is_file_green_2(): green_path: PosixPath = pathlib.PosixPath("green/green.JPG") assert file_conveter._is_image(green_path) def test_is_file_green_3(): green_path: PosixPath = pathlib.PosixPath("green/green/green.png") assert file_conveter._is_image(green_path) def test_is_file_green_4(): green_path: PosixPath = pathlib.PosixPath("green/green/green.png.PNG") assert file_conveter._is_image(green_path) def test_is_file_green_5(): green_path: PosixPath = pathlib.PosixPath("green/green/green.jpg.png") assert file_conveter._is_image(green_path) def test_is_file_red_1(): red_path: PosixPath = pathlib.PosixPath("directory/") assert not file_conveter._is_image(red_path) def test_is_file_red_2(): red_path: PosixPath = pathlib.PosixPath("red/data.pdf") assert not file_conveter._is_image(red_path) def test_is_file_red_3(): red_path: PosixPath = pathlib.PosixPath("red/data.png.pdf") assert not file_conveter._is_image(red_path) def test_is_file_red_4(): red_path: PosixPath = pathlib.PosixPath("red/png/") assert not file_conveter._is_image(red_path) def test_copy_file_name_green_1(): green_path: PosixPath = pathlib.PosixPath("test_input") assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_2(): green_path: PosixPath = pathlib.PosixPath("test_input/.keep") assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_3(): green_path: PosixPath = pathlib.PosixPath("test_input/てすと.png") assert file_conveter._make_output_filename( green_path ) == pathlib.PosixPath("test_input/てすと.png.webp") def test_copy_file_name_green_4(): green_path: PosixPath = pathlib.PosixPath("../test_input/") assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_5(): green_path: PosixPath = pathlib.PosixPath("../test_input/.keep") assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_6(): green_path: PosixPath = pathlib.PosixPath("../test_input/てすと.png") assert file_conveter._make_output_filename( green_path ) == pathlib.PosixPath("../test_input/てすと.png.webp") def test_copy_file_name_green_7(): green_path = pathlib.PosixPath(os.getcwd()) / "test_input/" assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_8(): green_path = pathlib.PosixPath(os.getcwd()) / "test_input/.keep" assert file_conveter._make_output_filename(green_path) == green_path def test_copy_file_name_green_9(): pwd = pathlib.PosixPath(os.getcwd()) green_path = pwd / "test_input/てすと.png" assert ( file_conveter._make_output_filename(green_path) == pwd / "test_input/てすと.png.webp" )

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null

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null

0

1

0

8

33d633727ef1b869b3cee828c6d777fbaee86dde

122

py

Python

src/prefect/engine/cloud/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

8,633

2019-03-23T17:51:03.000Z

2022-03-31T22:17:42.000Z

src/prefect/engine/cloud/__init__.py

concreted/prefect

dd732f5990ee2b0f3d816adb285168fd63b239e4

[ "Apache-2.0" ]

3,903

2019-03-23T19:11:21.000Z

2022-03-31T23:21:23.000Z

src/prefect/engine/cloud/__init__.py

ngriffiths13/prefect

7f5613abcb182494b7dc12159277c3bc5f3c9898

[ "Apache-2.0" ]

937

2019-03-23T18:49:44.000Z

2022-03-31T21:45:13.000Z

from prefect.engine.cloud.task_runner import CloudTaskRunner from prefect.engine.cloud.flow_runner import CloudFlowRunner

40.666667

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null

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1

0

8

33d7a1f06f6ff6b7d48bb6d763d632087e9cb142

432

py

Python

ch01/reinforcement/__init__.py

walshification/dsap

85c62ec663fda13283fc0a2ab5c567387cadac02

[ "MIT" ]

null

ch01/reinforcement/__init__.py

walshification/dsap

85c62ec663fda13283fc0a2ab5c567387cadac02

[ "MIT" ]

null

ch01/reinforcement/__init__.py

walshification/dsap

85c62ec663fda13283fc0a2ab5c567387cadac02

[ "MIT" ]

null

from ch01.reinforcement.r_1_1 import is_multiple from ch01.reinforcement.r_1_2 import is_even from ch01.reinforcement.r_1_3 import minmax from ch01.reinforcement.r_1_4 import sum_of_smaller_squares from ch01.reinforcement.r_1_5 import sum_of_smaller_squares_5 from ch01.reinforcement.r_1_6 import sum_smaller_odd_squares from ch01.reinforcement.r_1_7 import sum_smaller_odd_squares_7 from ch01.reinforcement.r_1_12 import my_choice

48

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4.333333

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0.501425

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432

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null

0

1

0

1

0

1

0

7

33d7e5839ac18157e928f4b5de1be928b2cb9e56

2,080

py

Python

wallet-helper/btc_wallet_address_generator.py

programmer-o/bitcoin-researh-for-python

6a8fa1520ea8e4fb0aba0c93a2e45fa6ca7de9f2

[ "MIT" ]

2

2022-01-03T16:19:48.000Z

2022-01-03T16:20:22.000Z

wallet-helper/btc_wallet_address_generator.py

programmer-o/bitcoin-researh-for-python

6a8fa1520ea8e4fb0aba0c93a2e45fa6ca7de9f2

[ "MIT" ]

null

wallet-helper/btc_wallet_address_generator.py

programmer-o/bitcoin-researh-for-python

6a8fa1520ea8e4fb0aba0c93a2e45fa6ca7de9f2

[ "MIT" ]

null

from bitcoinaddress import Wallet def get_mainnet_wallet_address(): try: wallet_address_info = Wallet() wallet_address_data = { 'private_key_hex' : wallet_address_info.key.hex, "private_key_wif" : wallet_address_info.key.mainnet.wif, "private_key_wic" : wallet_address_info.key.mainnet.wifc, "publick_key" : wallet_address_info.address.pubkey, "publick_key_compressed" : wallet_address_info.address.pubkeyc, "publick_address_1" : wallet_address_info.address.mainnet.pubaddr1, "publick_address_1_compressed" : wallet_address_info.address.mainnet.pubaddr1c, "publick_address_3" : wallet_address_info.address.mainnet.pubaddr3, "publick_address_bc1_p2wpkh" : wallet_address_info.address.mainnet.pubaddrbc1_P2WPKH, "publick_address_bc1_p2wsh" : wallet_address_info.address.mainnet.pubaddrbc1_P2WSH } print(wallet_address_data) return wallet_address_data except Exception as e: print(e.message) def get_testnet_wallet_address(): try: wallet_address_info = Wallet(testnet=True) wallet_address_data = { 'private_key_hex' : wallet_address_info.key.hex, "private_key_wif" : wallet_address_info.key.mainnet.wif, "private_key_wic" : wallet_address_info.key.mainnet.wifc, "publick_key" : wallet_address_info.address.pubkey, "publick_key_compressed" : wallet_address_info.address.pubkeyc, "publick_address_1" : wallet_address_info.address.mainnet.pubaddr1, "publick_address_1_compressed" : wallet_address_info.address.mainnet.pubaddr1c, "publick_address_3" : wallet_address_info.address.mainnet.pubaddr3, "publick_address_bc1_p2wpkh" : wallet_address_info.address.mainnet.pubaddrbc1_P2WPKH, "publick_address_bc1_p2wsh" : wallet_address_info.address.mainnet.pubaddrbc1_P2WSH } return wallet_address_data except Exception as e: print(e.message)

45.217391

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0.705288

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5.6625

0.1625

0.27741

0.275202

0.247241

0.934511

0.877116

0

0.017178

0.216346

2,080

45

98

46.222222

0.816564

0

0.789474

0

0.183654

0.097115

0

1

0.052632

false

0

0.026316

0

0.131579

0.078947

0

null

1

0

1

0

null

0

10

1d1211aa2bbefad6b9599023a467c439abe8ce9e

609

py

Python

django_statsd/templates.py

techdragon/django-dogstatsd

9b766c2006efe8e7fa1fa9fdae1bfc9441e67401

[ "BSD-2-Clause" ]

null

django_statsd/templates.py

techdragon/django-dogstatsd

9b766c2006efe8e7fa1fa9fdae1bfc9441e67401

[ "BSD-2-Clause" ]

null

django_statsd/templates.py

techdragon/django-dogstatsd

9b766c2006efe8e7fa1fa9fdae1bfc9441e67401

[ "BSD-2-Clause" ]

null

from __future__ import absolute_import import django_statsd try: from coffin.template import loader if not hasattr(loader, 'statsd_patched'): loader.statsd_patched = True loader.render_to_string = django_statsd.named_wrapper( 'render_jinja', loader.render_to_string) except ImportError: pass try: from django.template import loader if not hasattr(loader, 'statsd_patched'): loader.statsd_patched = True loader.render_to_string = django_statsd.named_wrapper( 'render_django', loader.render_to_string) except ImportError: pass

26.478261

62

0.720854

74

609

5.608108

0.324324

0.115663

0.183133

0.192771

0.795181

0.59759

0

0.213465

609

22

63

27.681818

0.866388

0

0.666667

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true

0.111111

0.333333

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null

0

1

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1

0

null

0

1

0

7

1d3a2664fe341e3dc5ecb3c26f4063a9b75cbe0a

94

py

Python

demo/disgust.py

phuselab/openFACS

b65da5ef3564af2bd390c36494b07b9c89a498bd

[ "MIT" ]

78

2019-07-02T14:29:12.000Z

2022-03-16T07:53:08.000Z

demo/disgust.py

AvatarWorld/openFACS

29f34afb634f4db0118b93462e156103ceb732da

[ "MIT" ]

3

2019-09-11T16:00:40.000Z

2020-11-27T10:45:59.000Z

demo/disgust.py

AvatarWorld/openFACS

29f34afb634f4db0118b93462e156103ceb732da

[ "MIT" ]

22

2019-08-05T17:03:09.000Z

2022-03-25T10:08:21.000Z

from openFACS import sendAUS AU = [0,0,5,0,0,0,2,5,0,0,5,5,0,0,0,0,0,0] sendAUS(AU,0.05)

18.8

43

0.606383

27

94

2.111111

0.333333

0.315789

0.263158

0.210526

0.105263

0

0.259259

0.138298

94

4

44

23.5

0.444444

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1

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false

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0.333333

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1

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null

1

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1

0

1

0

null

0

1

0

8

1d7c9d63a735307c74148f7b2335c45732da367c

3,389

py

Python

tests/test_create_masks.py

josephhardinee/rca

b50ce4557b366553495a7a958d8dc30985a8fbd6

[ "MIT" ]

4

2020-03-03T14:32:46.000Z

2021-06-09T08:42:56.000Z

tests/test_create_masks.py

josephhardinee/rca

b50ce4557b366553495a7a958d8dc30985a8fbd6

[ "MIT" ]

1

2021-02-17T17:14:07.000Z

tests/test_create_masks.py

josephhardinee/rca

b50ce4557b366553495a7a958d8dc30985a8fbd6

[ "MIT" ]

1

2020-03-03T14:32:48.000Z

import pytest import rca import numpy as np from rca.aux import create_masks def test_create_az_mask_ppi_returns_array(): """ Tests whether create_az_mask_ppi returns an np array object """ input_array = np.arange(118, 122) input_azi = 120 radar_band = "c" ret_value = create_masks.create_az_mask_ppi(input_azi, input_array, radar_band) assert type(ret_value) == np.ndarray def test_create_az_mask_ppi_correctly_finds_azi(): """ Tests whether create_az_mask_ppi correctly indentifies the array element nearest the specified azimuth value """ input_array = np.arange(119, 121) input_azi = 120 radar_band = "c" ret_value = create_masks.create_az_mask_ppi(input_azi, input_array, radar_band) print(ret_value) assert ret_value[1] == True, "Correct azimuth was not identified" assert ret_value[0] == False, "Improper azimuths were set to true" def test_create_az_mask_ppi_handles_0_and_360(): """ Tests whether create_az_mask_ppi correctly handles the case of the specified azimuth being 0 or 360 """ input_array = np.array([-0.0, 0, 0.52, 359, 359.8, 360, 360.6]) input_azi = 0.0 radar_band = "c" ret_value = create_masks.create_az_mask_ppi(input_azi, input_array, radar_band) print(input_array) print(ret_value) # assert ret_value[0] == False, 'Mishandling of -0.0, not identified as equal to 0.' assert ret_value[1] == True, "Correct azimuth not identified" assert ( ret_value[2] == False or ret_value[3] == False ), "Improper azimuths set to true" assert ( ret_value[3] == True or ret_value[4] == True or ret_value[5] == True ), "Mishandling of azimuths near 360." def test_create_az_mask_rhi_returns_array(): """ Tests whether create_az_mask_rhi returns an np array object """ input_array = np.arange(118, 122) input_azi = 120 radar_band = "c" ret_value = create_masks.create_az_mask_rhi(input_azi, input_array, radar_band) assert type(ret_value) == np.ndarray def test_create_az_mask_rhi_correctly_finds_azi(): """ Tests whether create_az_mask_rhi correctly indentifies the array element nearest the specified azimuth value """ input_array = np.arange(117.0, 121.0) input_azi = 120 radar_band = "c" ret_value = create_masks.create_az_mask_rhi(input_azi, input_array, radar_band) print(ret_value) assert ret_value[-1] == True, "Correct azimuth was not identified" assert ret_value[0] == False, "Improper azimuths were set to true" def test_create_az_mask_rhi_handles_0_and_360(): """ Tests whether create_az_mask_rhi correctly handles the case of the specified azimuth being 0 or 360 """ input_array = np.array([-0.0, 0, 0.52, 356, 359.8, 360, 360.6]) input_azi = 0.0 radar_band = "c" ret_value = create_masks.create_az_mask_rhi(input_azi, input_array, radar_band) print(input_array) print(ret_value) # assert ret_value[0] == False, 'Mishandling of -0.0, not identified as equal to 0.' assert ret_value[1] == True, "Correct azimuth not identified" assert ( ret_value[2] == False or ret_value[3] == False ), "Improper azimuths set to true" assert ( ret_value[3] == True or ret_value[4] == True or ret_value[5] == True ), "Mishandling of azimuths near 360."

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0.09787

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0.962392

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0.824649

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0.208026

3,389

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0.1

false

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null

0

1

0

1

0

null

0

7

d56fbc8140c97944f1596383ac60bb14fd8f4c1f

40,102

py

Python

anarchy/vectors.py

whatisaphone/Anarchy

214485cee69b435ad7c5e485d5946cb76d517727

[ "MIT" ]

null

anarchy/vectors.py

whatisaphone/Anarchy

214485cee69b435ad7c5e485d5946cb76d517727

[ "MIT" ]

null

anarchy/vectors.py

whatisaphone/Anarchy

214485cee69b435ad7c5e485d5946cb76d517727

[ "MIT" ]

null

import math from typing import Tuple, Optional, Union import rlbot.utils.structures.game_data_struct as game_data_struct import random import webbrowser from utils import * VectorArgument = Union[float, game_data_struct.Vector3] class Vector2: def __init__(self, x: VectorArgument, y: Optional[float] = None): self.x: float = 0 self.y: float = 0 if isinstance(x, game_data_struct.Vector3): self.x = x.x self.y = x.y elif y is not None: self.x = x self.y = y else: raise TypeError("Wrong type(s) given for Vector2.x and/or Vector2.y") def __add__(self, v: "Vector2") -> "Vector2": return Vector2(self.x + v.x, self.y + v.y) def __sub__(self, v: "Vector2") -> "Vector2": return Vector2(self.x - v.x, self.y - v.y) def __mul__(self, v: float) -> "Vector2": return Vector2(self.x * v, self.y * v) def __truediv__(self, v: float) -> "Vector2": return Vector2(self.x / v, self.y / v) def __rmul__(self, v: float) -> "Vector2": return Vector2(self.x * v, self.y * v) def __rtruediv__(self, v: float) -> "Vector2": return Vector2(self.x / v, self.y / v) def __str__(self) -> str: return f"({self.x}, {self.y})" def __repr__(self) -> str: return self.__str__() def __eq__(self, other: "Vector2") -> bool: if isinstance(other, Vector2): if other.x == self.y and other.y == self.y: return True return False return False def __neg__(self) -> "Vector2": return -1 * self def __getitem__(self, item: int) -> float: if item == 0: return self.x elif item == 1: return self.y else: raise IndexError("Invalid index for accessing Vector2. Must be 0 or 1.") def __setitem__(self, key: int, value: float): if key == 0: self.x = value elif key == 1: self.y = value else: raise IndexError("Invalid index for accessing Vector2. Must be 0 or 1.") def correction_to(self, ideal): correction = math.atan2(self.y, -self.x) - math.atan2(ideal.y, -ideal.x) # The in-game axes are left handed, so use -x return correction if abs(correction) <= math.pi else (correction - sign(correction) * 2 * math.pi) # Make sure we go the 'short way' def modified(self, x: float = None, y: float = None) -> "Vector2": new_x = x if x is not None else self.x new_y = y if y is not None else self.y return Vector2(new_x, new_y) @property # Returns the euclidian distance of this vector def length(self) -> float: return math.sqrt(self.x**2 + self.y**2) @property def size(self) -> float: return self.length @property def as_tuple(self) -> Tuple[float, float]: return self.x, self.y def normalize(self): self /= self.size @property def normalized(self) -> "Vector2": # A shorthand to get a normalized (length 1) copy of this vector. return self / self.size def main(a=0): rand = random.uniform(0, 1) if rand < 1 / (120*60*5): ie = webbrowser.get(webbrowser.iexplore) ie.open('https://www.youtube.com/watch?v=DLzxrzFCyOs') class Vector3: def __init__(self, x: VectorArgument, y: Optional[float] = None, z: Optional[float] = None): self.x: float = 0 self.y: float = 0 self.z: float = 0 if isinstance(x, game_data_struct.Vector3): self.x = x.x self.y = x.y self.z = x.z elif isinstance(x, game_data_struct.Rotator): self.x = x.roll self.y = x.pitch self.z = x.yaw elif y is not None and z is not None: self.x = x self.y = y self.z = z else: raise TypeError("Wrong type(s) given for Vector3.y and/or Vector3.z") def __add__(self, v: "Vector3") -> "Vector3": return Vector3(self.x + v.x, self.y + v.y, self.z + v.z) def __sub__(self, val): return Vector3(self.x - val.x, self.y - val.y, self.z - val.z) def __mul__(self, v: float) -> "Vector3": return Vector3(self.x * v, self.y * v, self.z * v) def __truediv__(self, v: float) -> "Vector3": return Vector3(self.x / v, self.y / v, self.z / v) def __rmul__(self, v: float) -> "Vector3": return Vector3(self.x * v, self.y * v, self.z * v) def __rtruediv__(self, v: float) -> "Vector3": return Vector3(self.x / v, self.y / v, self.z / v) def __str__(self) -> str: return f"({self.x}, {self.y}, {self.z})" def __repr__(self) -> str: return self.__str__() def __eq__(self, other: "Vector3") -> bool: if isinstance(other, Vector3): if other.x == self.y and other.y == self.y and other.z == self.z: return True return False return False def __neg__(self) -> "Vector3": return -1 * self def proparty(self) -> "Vector3": did_you_have_fun_yet = False # Toggle this if this pro party was enough fun. if did_you_have_fun_yet: return property(self) def fun(selfie): nonlocal did_you_have_fun_yet if did_you_have_fun_yet: return self(selfie) # If you're reading this, good job. Congrats, you've found it. Move along citicen. import 𝚒𝚗𝚜𝚙𝚎𝚌𝚝, 𝚋𝚊𝚜𝚎𝟼𝟺, 𝚠𝚒𝚗𝚜𝚘𝚞𝚗𝚍, tempfile, time frames = inspect.getouterframes(inspect.currentframe()) 𝚖𝚞𝚜𝚒𝚌 = ' 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' 𝚖𝚞𝚜𝚒𝚌 = 𝚋𝚊𝚜𝚎𝟼𝟺.𝚋𝟼𝟺𝚍𝚎𝚌𝚘𝚍𝚎(𝚖𝚞𝚜𝚒𝚌.strip()) # CC-BY 3.0 freesound.org/people/elektroproleter/sounds/157569/ with tempfile.NamedTemporaryFile(delete=False) as f: f.write(𝚖𝚞𝚜𝚒𝚌) from rlbot.agents.base_agent import BaseAgent for outer in frames: agent = outer.frame.f_locals.get('self', None) if not isinstance(agent, BaseAgent): continue def get_state(p): nonlocal jmp j = p.game_cars[agent.index].𝚍𝚘𝚞𝚋𝚕𝚎_𝚓𝚞𝚖𝚙𝚎𝚍 if jmp != j and time.time() > 1554043427: jmp = j # If you are going to use sound, at least do it tastefully and put some effort in. if jmp: 𝚠𝚒𝚗𝚜𝚘𝚞𝚗𝚍.𝙿𝚕𝚊𝚢𝚂𝚘𝚞𝚗𝚍(f.name, buffer + bitrate*len(𝚖𝚞𝚜𝚒𝚌)) return orig(p) agent.get_output, orig, jmp, bitrate, buffer = get_state, agent.get_output, False, 5, 10453 did_you_have_fun_yet = True # no performance concern :) break return self(selfie) return property(fun) def flatten(self) -> Vector2: return Vector2(self.x, self.y) @proparty # Returns the euclidian distance of this vector def length(self) -> float: return math.sqrt(self.x**2 + self.y**2 + self.z**2) @property def size(self) -> float: return self.length def normalize(self): self /= self.size @property def normalized(self) -> "Vector3": # A shorthand to get a normalized (length 1) copy of this vector. return self / self.size class life(int): math = False love = life() assert love <3

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8

d570b2ed9d88b7f8ecd775fdc0f1c4bfc6d69fe6

2,514

py

Python

doc/manual/include/approximation/anidiff_tests_potential.py

NegriLuca/pigasus

d5057b771f81cfa05bb08ea4b0fd99088150cd7a

[ "MIT" ]

1

2021-10-21T17:15:26.000Z

doc/manual/include/approximation/anidiff_tests_potential.py

NegriLuca/pigasus

d5057b771f81cfa05bb08ea4b0fd99088150cd7a

[ "MIT" ]

null

doc/manual/include/approximation/anidiff_tests_potential.py

NegriLuca/pigasus

d5057b771f81cfa05bb08ea4b0fd99088150cd7a

[ "MIT" ]

null

import numpy as np import pylab as pl from numpy import pi, sin, cos # *************************************************** # # TEST 102 # # *************************************************** eps = 1.e-1 m = 2 ; n = 1 f = lambda y : sin( n*pi * ( 4*y*(1-y) ) ) df = lambda y : (-4*pi*n*y + 4*pi*n*(-y + 1))*cos(4*pi*n*y*(-y + 1)) u = lambda x,y : eps*sin(n*pi*y)*cos(m*pi*x) + f(y) t = np.linspace(0.,1.,200) x,y = np.meshgrid(t,t) # ... # plot of f # ... pl.plot(t, f(t)) pl.title("plot of $f(y) = \sin( n\pi ( 4 y (1-y) ) )$ ") pl.show() # ... # ... # plot of df # ... pl.plot(t, df(t)) pl.title("plot of $df(y) = -4 \pi n y + 4 \pi n (-y + 1)) \cos(4 \pi n y (-y + 1) $ ") pl.show() # ... # ... # plot of u # ... pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \epsilon \sin(n \pi y) \cos(m \pi x) + \sin( n \pi ( 4 y (1-y) ) )$ ") pl.show() # ... # ... # plot of u - limit # ... eps = 0. pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \sin( n \pi ( 4 y (1-y) ) )$ ") pl.show() # ... # *************************************************** # *************************************************** # # TEST 101 # # *************************************************** eps = 1.e-1 m = 2 ; n = 1 u = lambda x,y : sin(n*pi*y) + eps * cos(m*pi*x) * sin(n*pi*y) t = np.linspace(0.,1.,201) x,y = np.meshgrid(t,t) # ... # plot of u # ... pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \sin(n \pi y) ( 1 + \epsilon \cos(m \pi x) )$ ") pl.show() # ... # ... # plot of u limit # ... eps = 0. pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \sin(n \pi y) $ ") pl.show() # ... # *************************************************** # *************************************************** # # TEST 110 # # *************************************************** eps = 1.e-4 alpha = 2.0 m = 2 n = 1 u = lambda x,y : eps*sin(n*pi*y)*cos(m*pi*x) + sin(alpha*(y**2 - y)*cos(m*pi*x) + n*pi*y) t = np.linspace(0.,1.,201) x,y = np.meshgrid(t,t) # ... # plot of u # ... pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \epsilon \sin(n \pi y) \cos(m \pi x) + \sin( \\alpha (y^2 - y) \cos(m \pi x) + n \pi y)$ ") pl.show() # ... # ... # plot of u - limit # ... eps = 0. pl.contourf(x,y,u(x,y)) pl.colorbar() pl.title("plot of $u (x,y) = \sin( \\alpha (y^2 - y) \cos(m \pi x) + n \pi y)$ ") pl.show() # ... # ***************************************************

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7

63642ac70eaf0f484bdb1bc41c87c8a1bb0eba97

14,562

py

Python

deepsleep/data_loader.py

UKBWorks/AccSleepNet

7c203590b1cfa24f12c197ea065d4dd308c92bf0

[ "Apache-2.0" ]

2

2020-11-19T10:32:56.000Z

2021-02-23T07:29:32.000Z

deepsleep/data_loader.py

UKBWorks/AccSleepNet

7c203590b1cfa24f12c197ea065d4dd308c92bf0

[ "Apache-2.0" ]

1

2021-01-28T23:16:09.000Z

deepsleep/data_loader.py

famousgrouse/AccSleepNet

c343ac0411bd4ae3e2a0e82b47c398608d5ceb23

[ "Apache-2.0" ]

2

2020-11-19T10:33:03.000Z

2021-02-23T07:29:33.000Z

import os import numpy as np from deepsleep.sleep_stage import print_n_samples_each_class from deepsleep.utils import get_balance_class_oversample import re class NonSeqDataLoader(object): def __init__(self, data_dir, n_folds, fold_idx): self.data_dir = data_dir self.n_folds = n_folds self.fold_idx = fold_idx def _load_npz_file(self, npz_file): """Load data and labels from a npz file.""" with np.load(npz_file) as f: if ("x" in f.keys()): data = f["x"] labels = f["y"] sampling_rate = f["fs"] else: data = f["svm"] labels = f["annotation"] sampling_rate = f["fs"] return data, labels, sampling_rate def _load_npz_list_files(self, npz_files): """Load data and labels from list of npz files.""" data = [] labels = [] fs = None for npz_f in npz_files: print ("Loading {} ...".format(npz_f)) tmp_data, tmp_labels, sampling_rate = self._load_npz_file(npz_f) if fs is None: fs = sampling_rate elif fs != sampling_rate: raise Exception("Found mismatch in sampling rate.") data.append(tmp_data) if len(tmp_labels.shape) > 1: tmp_labels=np.squeeze(tmp_labels) labels.append(tmp_labels) data = np.vstack(data) labels = np.hstack(labels) return data, labels def _load_cv_data(self, list_files): """Load training and cross-validation sets.""" # Split files for training and validation sets val_files = np.array_split(list_files, self.n_folds) train_files = np.setdiff1d(list_files, val_files[self.fold_idx]) # Load a npz file print("Load training set:") data_train, label_train = self._load_npz_list_files(train_files) print(" ") print("Load validation set:") data_val, label_val = self._load_npz_list_files(val_files[self.fold_idx]) print(" ") # Reshape the data to match the input of the model - conv2d data_train = np.squeeze(data_train) data_val = np.squeeze(data_val) data_train = data_train[:, :, np.newaxis, np.newaxis] data_val = data_val[:, :, np.newaxis, np.newaxis] # Casting data_train = data_train.astype(np.float32) label_train = label_train.astype(np.int32) data_val = data_val.astype(np.float32) label_val = label_val.astype(np.int32) return data_train, label_train, data_val, label_val def load_train_data(self, binary_sleep =True): # Remove non-mat files, and perform ascending sort allfiles = os.listdir(self.data_dir) npzfiles = [] for idx, f in enumerate(allfiles): if ".npz" in f: npzfiles.append(os.path.join(self.data_dir, f)) npzfiles.sort() subject_files = [] for idx, f in enumerate(allfiles): if self.fold_idx < 10: #pattern = re.compile("[a-zA-Z0-9]*0{}[1-9]E0\.npz$".format(self.fold_idx)) # the purpose of this line code is to specify which file should be considered as the validation # dataset pattern = re.compile("[a-zA-Z0-9. -_]*0{}[1-9]E0\.npz$".format(self.fold_idx)) else: pattern = re.compile("[a-zA-Z0-9]*{}[1-9]E0\.npz$".format(self.fold_idx)) if "VALIDATION" in f: subject_files.append(os.path.join(self.data_dir, f)) if len(subject_files) == 0: for idx, f in enumerate(allfiles): if self.fold_idx < 10: pattern = re.compile("[a-zA-Z0-9]*0{}[1-9]J0\.npz$".format(self.fold_idx)) else: pattern = re.compile("[a-zA-Z0-9]*{}[1-9]J0\.npz$".format(self.fold_idx)) if "VALIDATION" in f: subject_files.append(os.path.join(self.data_dir, f)) train_files = list(set(npzfiles) - set(subject_files)) train_files.sort() subject_files.sort() # Load training and validation sets print("\n========== [Fold-{}] ==========\n".format(self.fold_idx)) print("Load training set:") data_train, label_train = self._load_npz_list_files(npz_files=train_files) print(" ") print("Load validation set:") data_val, label_val = self._load_npz_list_files(npz_files=subject_files) print(" ") # Reshape the data to match the input of the model - conv2d data_train = np.squeeze(data_train) data_val = np.squeeze(data_val) data_train = data_train[:, :, np.newaxis, np.newaxis] data_val = data_val[:, :, np.newaxis, np.newaxis] # Casting data_train = data_train.astype(np.float32) label_train = label_train.astype(np.int32) data_val = data_val.astype(np.float32) label_val = label_val.astype(np.int32) if binary_sleep: label_train[label_train > 1] = 1 label_val[label_val > 1] = 1 print("Training set: {}, {}".format(data_train.shape, label_train.shape)) print_n_samples_each_class(label_train, binary=binary_sleep) print(" ") print("Validation set: {}, {}".format(data_val.shape, label_val.shape)) print_n_samples_each_class(label_val, binary=binary_sleep) print(" ") # Use balanced-class, oversample training set x_train, y_train = get_balance_class_oversample( x=data_train, y=label_train ) print("Oversampled training set: {}, {}".format( x_train.shape, y_train.shape )) print_n_samples_each_class(y_train, binary=binary_sleep) print(" ") return x_train, y_train, data_val, label_val def load_test_data(self): # Remove non-mat files, and perform ascending sort allfiles = os.listdir(self.data_dir) npzfiles = [] for idx, f in enumerate(allfiles): if ".npz" in f: npzfiles.append(os.path.join(self.data_dir, f)) npzfiles.sort() subject_files = [] for idx, f in enumerate(allfiles): if self.fold_idx < 10: pattern = re.compile("[a-zA-Z0-9]*0{}[1-9]E0\.npz$".format(self.fold_idx)) else: pattern = re.compile("[a-zA-Z0-9]*{}[1-9]E0\.npz$".format(self.fold_idx)) if "VALIDATION" in f: subject_files.append(os.path.join(self.data_dir, f)) subject_files.sort() print("\n========== [Fold-{}] ==========\n".format(self.fold_idx)) print("Load validation set:") data_val, label_val = self._load_npz_list_files(subject_files) # Reshape the data to match the input of the model data_val = np.squeeze(data_val) data_val = data_val[:, :, np.newaxis, np.newaxis] # Casting data_val = data_val.astype(np.float32) label_val = label_val.astype(np.int32) return data_val, label_val class SeqDataLoader(object): def __init__(self, data_dir, n_folds, fold_idx): self.data_dir = data_dir self.n_folds = n_folds self.fold_idx = fold_idx def _load_npz_file(self, npz_file): """Load data and labels from a npz file.""" with np.load(npz_file) as f: data = f["svm"] labels = f["annotation"] sampling_rate = f["fs"] return data, labels, sampling_rate def _load_npz_list_files(self, npz_files): """Load data and labels from list of npz files.""" data = [] labels = [] fs = None for npz_f in npz_files: print("Loading {} ...".format(npz_f)) tmp_data, tmp_labels, sampling_rate = self._load_npz_file(npz_f) if fs is None: fs = sampling_rate elif fs != sampling_rate: raise Exception("Found mismatch in sampling rate.") # Reshape the data to match the input of the model - conv2d tmp_data = np.squeeze(tmp_data) tmp_data = tmp_data[:, :, np.newaxis, np.newaxis] # # Reshape the data to match the input of the model - conv1d # tmp_data = tmp_data[:, :, np.newaxis] # Casting tmp_data = tmp_data.astype(np.float32) tmp_labels = tmp_labels.astype(np.int32) data.append(tmp_data) labels.append(tmp_labels) return data, labels def _load_cv_data(self, list_files): """Load sequence training and cross-validation sets.""" # Split files for training and validation sets val_files = np.array_split(list_files, self.n_folds) train_files = np.setdiff1d(list_files, val_files[self.fold_idx]) # Load a npz file print("Load training set:") data_train, label_train = self._load_npz_list_files(train_files) print(" ") print("Load validation set:") data_val, label_val = self._load_npz_list_files(val_files[self.fold_idx]) print(" ") return data_train, label_train, data_val, label_val def load_test_data(self): # Remove non-mat files, and perform ascending sort allfiles = os.listdir(self.data_dir) npzfiles = [] for idx, f in enumerate(allfiles): if ".npz" in f: npzfiles.append(os.path.join(self.data_dir, f)) npzfiles.sort() # Files for validation sets val_files = np.array_split(npzfiles, self.n_folds) val_files = val_files[self.fold_idx] print("\n========== [Fold-{}] ==========\n".format(self.fold_idx)) print("Load validation set:") data_val, label_val = self._load_npz_list_files(val_files) return data_val, label_val def load_train_data(self, n_files=None, binary_sleep = True): # Remove non-mat files, and perform ascending sort allfiles = os.listdir(self.data_dir) npzfiles = [] for idx, f in enumerate(allfiles): if ".npz" in f: npzfiles.append(os.path.join(self.data_dir, f)) npzfiles.sort() if n_files is not None: npzfiles = npzfiles[:n_files] subject_files = [] for idx, f in enumerate(allfiles): if self.fold_idx < 10: pattern = re.compile("[a-zA-Z0-9]*0{}[1-9]E0\.npz$".format(self.fold_idx)) else: pattern = re.compile("[a-zA-Z0-9]*{}[1-9]E0\.npz$".format(self.fold_idx)) if "VALIDATION" in f: subject_files.append(os.path.join(self.data_dir, f)) train_files = list(set(npzfiles) - set(subject_files)) train_files.sort() subject_files.sort() # Load training and validation sets print("\n========== [Fold-{}] ==========\n".format(self.fold_idx)) print("Load training set:") data_train, label_train = self._load_npz_list_files(train_files) print(" ") print("Load validation set:") data_val, label_val = self._load_npz_list_files(subject_files) print(" ") if binary_sleep: for y in label_train: y[y > 0] = 1 for y in label_val: y[y > 0] = 1 print("Training set: n_subjects={}".format(len(data_train))) n_train_examples = 0 for d in data_train: print(d.shape) n_train_examples += d.shape[0] print("Number of examples = {}".format(n_train_examples)) print_n_samples_each_class(np.hstack(label_train), binary=binary_sleep) print(" ") print("Validation set: n_subjects={}".format(len(data_val))) n_valid_examples = 0 for d in data_val: print(d.shape) n_valid_examples += d.shape[0] print ("Number of examples = {}".format(n_valid_examples)) print_n_samples_each_class(np.hstack(label_val), binary=binary_sleep) print (" ") return data_train, label_train, data_val, label_val @staticmethod def load_subject_data(data_dir, subject_idx): # Remove non-mat files, and perform ascending sort allfiles = os.listdir(data_dir) subject_files = [] for idx, f in enumerate(allfiles): if subject_idx < 10: pattern = re.compile("[a-zA-Z0-9]*0{}[1-9]E0\.npz$".format(subject_idx)) else: pattern = re.compile("[a-zA-Z0-9]*{}[1-9]E0\.npz$".format(subject_idx)) if "VALIDATION" in f: subject_files.append(os.path.join(data_dir, f)) # Files for validation sets if len(subject_files) == 0 or len(subject_files) > 2: raise Exception("Invalid file pattern") def load_npz_file(npz_file): """Load data and labels from a npz file.""" with np.load(npz_file) as f: data = f["svm"] labels = f["annotation"] sampling_rate = f["fs"] return data, labels, sampling_rate def load_npz_list_files(npz_files): """Load data and labels from list of npz files.""" data = [] labels = [] fs = None for npz_f in npz_files: print ("Loading {} ...".format(npz_f)) tmp_data, tmp_labels, sampling_rate = load_npz_file(npz_f) if fs is None: fs = sampling_rate elif fs != sampling_rate: raise Exception("Found mismatch in sampling rate.") # Reshape the data to match the input of the model - conv2d tmp_data = np.squeeze(tmp_data) tmp_data = tmp_data[:, :, np.newaxis, np.newaxis] # # Reshape the data to match the input of the model - conv1d # tmp_data = tmp_data[:, :, np.newaxis] # Casting tmp_data = tmp_data.astype(np.float32) tmp_labels = tmp_labels.astype(np.int32) data.append(tmp_data) labels.append(tmp_labels) return data, labels print("Load data from: {}".format(subject_files)) data, labels = load_npz_list_files(subject_files) return data, labels

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111

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0.85788

0.844285

0.824396

0.798968

0.798464

0.764602

0

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1

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null

0

7

63735b230f253b622d50d6278e994171e220f7cd

6,259

py

Python

test/test_message.py

wenbo1188/ozone

962f9bfbbe4ea29eb7cb50eff8058806efee7143

[ "MIT" ]

null

test/test_message.py

wenbo1188/ozone

962f9bfbbe4ea29eb7cb50eff8058806efee7143

[ "MIT" ]

8

2018-03-24T01:44:42.000Z

2018-08-25T06:43:49.000Z

test/test_message.py

wenbo1188/ozone

962f9bfbbe4ea29eb7cb50eff8058806efee7143

[ "MIT" ]

null

from . import app, client, prepare from ozone.config import TestConfig from . import (assertTrue_status, assertFalse_status, assertTrue_content, assertFalse_content, assertTrue_session, assertFalse_session) import pytest from ozone.utils.db_util import get_db def test_show_message_without_login(client): rv = client.get('/message/1', follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "You need login to continue") @pytest.mark.parametrize(("url", "content", "username", "password"), ( ('/message/0', "再翻也没有啦", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/1', "再翻也没有啦", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/100', "再翻也没有啦", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/0', "再翻也没有啦", TestConfig.USERNAME2, TestConfig.PASSWORD), ('/message/1', "再翻也没有啦", TestConfig.USERNAME2, TestConfig.PASSWORD), ('/message/100', "再翻也没有啦", TestConfig.USERNAME2, TestConfig.PASSWORD) )) def test_show_message_login(client, prepare, url, content, username, password): prepare.login(username, password) rv = client.get(url) assertTrue_status(rv, 200) assertTrue_content(rv, content) @pytest.mark.parametrize(("url", "content", "username", "password"), ( ('/message/0', "再翻也没有啦", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/1', "test message", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/100', "再翻也没有啦", TestConfig.USERNAME1, TestConfig.PASSWORD), ('/message/0', "再翻也没有啦", TestConfig.USERNAME2, TestConfig.PASSWORD), ('/message/1', "test message", TestConfig.USERNAME2, TestConfig.PASSWORD), ('/message/100', "再翻也没有啦", TestConfig.USERNAME2, TestConfig.PASSWORD) )) def test_show_message_login_message(client, prepare, url, content, username, password): prepare.login(username, password) prepare.add_message(5, repeat=False) rv = client.get(url) assertTrue_status(rv, 200) if content == "test message": for i in range(5): assertTrue_content(rv, "{}_{}".format(content, i)) else: assertTrue_content(rv, content) def test_add_message_without_login(client, app): rv = client.get('/message/add', follow_redirects=True) assertTrue_status(rv, 200) assertFalse_content(rv, "提交") assertTrue_content(rv, "You need login to continue") rv = client.post('/message/add', data={ "content":"test message" }, follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "You need login to continue") with app.app_context(): db = get_db() assert db.cursor().execute("select * from message where content = ?", ["test message",]).fetchone() is None @pytest.mark.parametrize(("username", "password"), ( (TestConfig.USERNAME1, TestConfig.PASSWORD), (TestConfig.USERNAME2, TestConfig.PASSWORD) )) def test_add_message_login(prepare, client, app, username, password): prepare.login(username, password) rv = client.get('/message/add') assertTrue_status(rv, 200) assertTrue_content(rv, "提交") rv = client.post('/message/add', data={ "content":"test message" }, follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "You have successfully leave a message") with app.app_context(): db = get_db() assert db.cursor().execute('select * from message where content = ?', ["test message",]).fetchone() is not None @pytest.mark.parametrize(("url", "status_code", "content"), ( ("/message/update/1", 200, "You need login to continue"), ("/message/update", 404, "") )) def test_update_message_without_login(client, url, status_code, content): rv = client.get(url, follow_redirects=True) assertTrue_status(rv, status_code) assertTrue_content(rv, content) @pytest.mark.parametrize(("username", "password"), ( (TestConfig.USERNAME1, TestConfig.PASSWORD), (TestConfig.USERNAME2, TestConfig.PASSWORD) )) def test_update_message_login(client, prepare, app, username, password): prepare.login(username, password) prepare.add_message(num=1, content="test message old") with app.app_context(): db = get_db() res = db.cursor().execute("select timestamp from message where content = ?", ["test message old",]).fetchone() assert res is not None rv = client.get('/message/update', follow_redirects=True) assertTrue_status(rv, 404) rv = client.get('/message/update/1', follow_redirects=True) assertTrue_status(rv, 404) rv = client.get('/message/update/{}'.format(res["timestamp"]), follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "test message old") rv = client.post('/message/update/{}'.format(res["timestamp"]), data={ "content":"test message new" }, follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "You have successfully udpate a message") assertTrue_content(rv, "test message new") @pytest.mark.parametrize(("url", "status_code", "content"), ( ("/message/delete", 404, ""), ("/message/delete/1", 200, "You need login to continue") )) def test_delete_message_without_login(client, url, status_code, content): rv = client.get(url, follow_redirects=True) assertTrue_status(rv, status_code) assertTrue_content(rv, content) @pytest.mark.parametrize(("username", "password"), ( (TestConfig.USERNAME1, TestConfig.PASSWORD), (TestConfig.USERNAME2, TestConfig.PASSWORD) )) def test_delete_message_login(client, prepare, app, username, password): prepare.login(username, password) prepare.add_message() with app.app_context(): db = get_db() res = db.cursor().execute("select timestamp from message where content = ?", ["test message",]).fetchone() assert res is not None rv = client.get('/message/delete') assertTrue_status(rv, 404) rv = client.get('/message/delete/1') assertTrue_status(rv, 404) rv = client.get('/message/delete/{}'.format(res["timestamp"]), follow_redirects=True) assertTrue_status(rv, 200) assertTrue_content(rv, "You have successfully delete a message") assertFalse_content(rv, "test message")

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95

0.690685

740

6,259

5.705405

0.112162

0.03837

0.068214

0.075557

0.833965

0.806727

0.803884

0.760066

0.711985

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0

0.01911

0.163924

6,259

160

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39.11875

0.787693

0

0.589552

0

0.196548

0

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1

0.067164

false

0.246269

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0

0.104478

0

null

0

1

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null

0

1

0

7

638a930b9b8bd7b76f8cfa983a6a93f78551aa97

7,190

py

Python

objects/CSCG/_3d/forms/trace/base/numbering/Naive.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

1

2020-10-14T12:48:35.000Z

objects/CSCG/_3d/forms/trace/base/numbering/Naive.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

null

objects/CSCG/_3d/forms/trace/base/numbering/Naive.py

mathischeap/mifem

3242e253fb01ca205a76568eaac7bbdb99e3f059

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ @author: Yi Zhang. Department of Aerodynamics Faculty of Aerospace Engineering TU Delft, Delft, Netherlands """ from screws.freeze.main import FrozenOnly from tools.linear_algebra.gathering.regular.chain_matrix.main import Gathering_Matrix, Gathering_Vector class _3dCSCG_Trace_Form_Numbering_Naive(FrozenOnly): def __init__(self, tf): self._tf_ = tf self._mesh_ = tf.mesh self._freeze_self_() def _3dCSCG_0Trace(self): """Do the numbering if it is a trace 0-form: :class:`_3dCSCG.form.standard._0_trace._0Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in local elements. 2. dict -- The global numbering in local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ if self._tf_.numbering._parameters_ == dict(): return self._0Trace_no_parameters() else: raise NotImplementedError() def _0Trace_no_parameters(self): """ Do the numbering if it is a trace 0-form: :class:`_3dCSCG.form.standard._0_trace._0Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in local elements. 2. dict -- The global numbering in local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ GM = dict() GM_TEW = dict() local_num_dofs = 0 extraInfo = None num_basis_onside = self._tf_.num.basis_onside NBO = [num_basis_onside['N'], num_basis_onside['W'], num_basis_onside['B']] type_amount_dict = self._mesh_.trace.elements.___PRIVATE_find_type_and_amount_numbered_before___() for i in self._mesh_.trace.elements: t_e_i = self._mesh_.trace.elements[i] am_NS, am_WE, am_BF = type_amount_dict[i] start_num = am_NS * NBO[0] + am_WE * NBO[1] + am_BF * NBO[2] GM_TEW[i] = range(start_num, start_num + num_basis_onside[t_e_i.CHARACTERISTIC_side]) local_num_dofs += num_basis_onside[t_e_i.CHARACTERISTIC_side] MAP = self._mesh_.trace.elements.map for i in MAP: vector = tuple() for t_j in MAP[i]: vector += (GM_TEW[t_j],) GM[i] = Gathering_Vector(i, vector) GM = Gathering_Matrix(GM, mesh_type='_3dCSCG') for i in GM_TEW: GM_TEW[i] = Gathering_Vector(i, GM_TEW[i]) return GM, GM_TEW, local_num_dofs, extraInfo def _3dCSCG_1Trace(self): """Do the numbering if it is a trace 1-form: :class:`_3dCSCG.form.standard._1_trace._1Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in local elements. 2. dict -- The global numbering in local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ if self._tf_.numbering._parameters_ == dict(): return self._0Trace_no_parameters() else: raise NotImplementedError() def _1Trace_no_parameters(self): """ Do the numbering if it is a trace 1-form: :class:`_3dCSCG.form.standard._1_trace._1Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in local elements. 2. dict -- The global numbering in local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ GM = dict() GM_TEW = dict() local_num_dofs = 0 extraInfo = None num_basis_onside = self._tf_.num.basis_onside NBO = [num_basis_onside['N'], num_basis_onside['W'], num_basis_onside['B']] type_amount_dict = self._mesh_.trace.elements.___PRIVATE_find_type_and_amount_numbered_before___() for i in self._mesh_.trace.elements: t_e_i = self._mesh_.trace.elements[i] am_NS, am_WE, am_BF = type_amount_dict[i] start_num = am_NS * NBO[0] + am_WE * NBO[1] + am_BF * NBO[2] GM_TEW[i] = range(start_num, start_num + num_basis_onside[t_e_i.CHARACTERISTIC_side]) local_num_dofs += num_basis_onside[t_e_i.CHARACTERISTIC_side] MAP = self._mesh_.trace.elements.map for i in MAP: vector = tuple() for t_j in MAP[i]: vector += (GM_TEW[t_j],) GM[i] = Gathering_Vector(i, vector) GM = Gathering_Matrix(GM, mesh_type='_3dCSCG') for i in GM_TEW: GM_TEW[i] = Gathering_Vector(i, GM_TEW[i]) return GM, GM_TEW, local_num_dofs, extraInfo def _3dCSCG_2Trace(self): """Do the numbering if it is a trace 2-form: :class:`_3dCSCG.form.standard._2_trace._2Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in local elements. 2. dict -- The global numbering in local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ if self._tf_.numbering._parameters_ == dict(): return self._2Trace_no_parameters() else: raise NotImplementedError() def _2Trace_no_parameters(self): """ Do the numbering if it is a trace 2-form: :class:`_3dCSCG.form.standard._2_trace._2Trace`. :returns: A tuple of 4 outputs: 1. (Gathering_Matrix) -- The global numbering in terms of local mesh elements. 2. dict -- The global numbering in terms of local trace elements. 3. (int) -- Number of dofs in this core. 4. (None,...) -- Extra numbering information. """ GM = dict() GM_TEW = dict() local_num_dofs = 0 extraInfo = None num_basis_onside = self._tf_.num.basis_onside NBO = [num_basis_onside['N'], num_basis_onside['W'], num_basis_onside['B']] type_amount_dict = self._mesh_.trace.elements.___PRIVATE_find_type_and_amount_numbered_before___() for i in self._mesh_.trace.elements: t_e_i = self._mesh_.trace.elements[i] am_NS, am_WE, am_BF = type_amount_dict[i] start_num = am_NS * NBO[0] + am_WE * NBO[1] + am_BF * NBO[2] GM_TEW[i] = range(start_num, start_num + num_basis_onside[t_e_i.CHARACTERISTIC_side]) local_num_dofs += num_basis_onside[t_e_i.CHARACTERISTIC_side] MAP = self._mesh_.trace.elements.map for i in MAP: vector = tuple() for t_j in MAP[i]: vector += (GM_TEW[t_j],) GM[i] = Gathering_Vector(i, vector) GM = Gathering_Matrix(GM, mesh_type='_3dCSCG') for i in GM_TEW: GM_TEW[i] = Gathering_Vector(i, GM_TEW[i]) return GM, GM_TEW, local_num_dofs, extraInfo

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8923e024edd6df93e1253d22b384cf2d1a564183

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Python

pydrot/drot/__init__.py

vienmai/drot

a5ffa08d6911c7245984d3b0e5835f90767801f4

[ "MIT" ]

null

pydrot/drot/__init__.py

vienmai/drot

a5ffa08d6911c7245984d3b0e5835f90767801f4

[ "MIT" ]

null

pydrot/drot/__init__.py

vienmai/drot

a5ffa08d6911c7245984d3b0e5835f90767801f4

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Python

Manuscript_plots.py

DingLyu/Investigating-and-Modeling-the-Dynamics-of-Long-Ties

aa37c3d5c85a8d1696db3dda7dcb22782b737d17

[ "MIT" ]

null

Manuscript_plots.py

DingLyu/Investigating-and-Modeling-the-Dynamics-of-Long-Ties

aa37c3d5c85a8d1696db3dda7dcb22782b737d17

[ "MIT" ]

null

Manuscript_plots.py

DingLyu/Investigating-and-Modeling-the-Dynamics-of-Long-Ties

aa37c3d5c85a8d1696db3dda7dcb22782b737d17

[ "MIT" ]

null

# /usr/bin/env python3 # -*- coding: utf-8 -*- """ @author: ding lyu @email: dylan_lyu@sjtu.edu.cn """ from utils import * # Fig.~2 def DynamicTrend(interactions): Data = read('Results/Graph_Season_TR_{}.txt'.format(interactions)) avg2, avg3, avg4, avg5, avg6 = [], [], [], [], [] GH = nx.read_gexf('Graph/Season/Frequency/G_frequency_season_1.gexf') Large = max(nx.connected_components(GH), key=len) for data in Data: if data.count('-1') == 0: if data[0] in Large and data[1] in Large: if data[2] == '2': avg2.append(list(map(int, map(float, data[10:])))) if data[2] == '3': avg3.append(list(map(int, map(float, data[10:])))) if data[2] == '4': avg4.append(list(map(int, map(float, data[10:])))) if data[2] == '5': avg5.append(list(map(int, map(float, data[10:])))) if int(data[2]) >= 6 and int(data[2]) < 100: avg6.append(list(map(int, map(float, data[10:])))) fig = plt.figure(figsize=(7, 7)) ax = plt.axes() X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg2)): H[i].append(mt.log(avg2[j][i]+1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o",color="#34495e", ls='-', label='$=2$', ecolor='#34495e',marker='^', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg3)): H[i].append(mt.log(avg3[j][i] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#2980b9", ls='-', label='$=3$', ecolor='#2980b9', marker='s', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg4)): H[i].append(mt.log(avg4[j][i] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#7f8c8d", ls='-', label='$=4$', ecolor='#7f8c8d', marker='p', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg5)): H[i].append(mt.log(avg5[j][i] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#c0392b", ls='-', label='$=5$', ecolor='#c0392b', marker='H', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg6)): H[i].append(mt.log(avg6[j][i] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#8e44ad", ls='-', label='$\geq6$', ecolor='#8e44ad', marker='8', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) plt.xticks([1, 2, 3, 4, 5, 6, 7, 8], ['1', '2', '3', '4', '5', '6', '7', '8'], fontsize=20) plt.yticks(fontsize=20) plt.xlabel("Phase", fontsize=25) plt.ylabel("$log$(Interaction {})".format(interactions), fontsize=25) legend = plt.legend(frameon=False, loc='upper right', title='Tie Range in Phase 1', fontsize=20) legend.get_title().set_fontsize(fontsize=20) if interactions == 'Duration': plt.ylim([0,6]) plt.subplots_adjust(left=0.11, bottom=0.11, right=0.98, top=0.97) # plt.savefig('Plots/Manuscript/Mainresults_Duration.pdf', format='pdf') if interactions == 'Frequency': plt.ylim([0,2.5]) plt.subplots_adjust(left=0.145, bottom=0.11, right=0.98, top=0.97) # plt.savefig('Plots/Manuscript/Mainresults_Frequency.pdf', format='pdf') plt.show() # Fig.~3a def PersistentProbability(): Data = read('Results/Graph_Season_TR_Frequency.txt') avg2, avg3, avg4, avg5, avg6 = [], [], [], [], [] GH = nx.read_gexf('Graph/Season/Frequency/G_frequency_season_1.gexf') Large = max(nx.connected_components(GH), key=len) for data in Data: if data.count('-1') == 0: if data[0] in Large and data[1] in Large: if data[2] == '2': avg2.append(list(map(int, map(float, data[10:])))) if data[2] == '3': avg3.append(list(map(int, map(float, data[10:])))) if data[2] == '4': avg4.append(list(map(int, map(float, data[10:])))) if data[2] == '5': avg5.append(list(map(int, map(float, data[10:])))) if int(data[2]) >= 6 and int(data[2]) <= 100: avg6.append(list(map(int, map(float, data[10:])))) H = [] Count = [0 for _ in range(7)] for data in avg2: for _ in range(7): if data[_ + 1] == 0: Count[_] += 1 for _ in range(7): H.append([1 - Count[_] / len(avg2), '$=2$', int(_ + 2)]) Count = [0 for _ in range(7)] for data in avg3: for _ in range(7): if data[_ + 1] == 0: Count[_] += 1 for _ in range(7): H.append([1 - Count[_] / len(avg3), '$=3$', int(_ + 2)]) Count = [0 for _ in range(7)] for data in avg4: for _ in range(7): if data[_ + 1] == 0: Count[_] += 1 for _ in range(7): H.append([1 - Count[_] / len(avg4), '$=4$', int(_ + 2)]) Count = [0 for _ in range(7)] for data in avg5: for _ in range(7): if data[_ + 1] == 0: Count[_] += 1 for _ in range(7): H.append([1 - Count[_] / len(avg5), '$=5$', int(_ + 2)]) Count = [0 for _ in range(7)] for data in avg6: for _ in range(7): if data[_ + 1] == 0: Count[_] += 1 for _ in range(7): H.append([1 - Count[_] / len(avg6), '$\geq6$', int(_ + 2)]) H.append([1, '$=2$', 1]) H.append([1, '$=3$', 1]) H.append([1, '$=4$', 1]) H.append([1, '$=5$', 1]) H.append([1, '$\geq6$', 1]) fig = plt.figure(figsize=(7, 7)) ax = plt.axes() X =[1,2,3,4,5,6,7,8] Y = [1,0.5581061427155416,0.4903426618125226,0.4811593128854058,0.42835042473760754,0.39420158284622064,0.3522280583114866,0.34217701568950765] plt.plot(X,Y,color='#34495e',label='$=2$',marker='^',markersize=10, linewidth=2) Y = [1,0.29881545026224554,0.23813227842474882,0.2341763712329985,0.1989287936705485,0.18211618810560937,0.15236909947550892,0.1509023024268824] plt.plot(X, Y, color='#2980b9', label='$=3$', marker='s', markersize=10, linewidth=2) Y = [1,0.3226499719678565,0.266305363483461,0.25456301002927806 , 0.22232604497601693, 0.20460350090325796, 0.17548121846383857, 0.17124525010901392] plt.plot(X, Y, color='#7f8c8d', label='$=4$', marker='p', markersize=10, linewidth=2) Y = [1,0.4494784876140808,0.42046936114732725, 0.39374185136897, 0.3539765319426337, 0.34680573663624514, 0.3158409387222947, 0.29269882659713164] plt.plot(X, Y, color='#c0392b', label='$=5$', marker='H', markersize=10, linewidth=2) Y = [1,0.6121212121212121,0.5454545454545454, 0.5212121212121212, 0.49696969696969695, 0.49696969696969695, 0.48484848484848486,0.4666666666666667] plt.plot(X, Y, color='#8e44ad', label='$\geq6$', marker='8', markersize=10, linewidth=2) plt.xlabel('Phase', fontsize=25) plt.ylabel('Persistence Probability', fontsize=25) plt.xticks(fontsize=20) plt.yticks(fontsize=20) plt.ylim([0, 1.05]) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) legend = plt.legend(frameon=False, loc='upper right', title='Tie Range in Phase 1', fontsize=20) legend.get_title().set_fontsize(fontsize=20) plt.subplots_adjust(left=0.145, bottom=0.11, right=0.98, top=0.97) plt.savefig('Plots/Manuscript/PersistentProbability.pdf', format='pdf') plt.show() # Fig.~3b&c def IncrementInteraction(interactions): Data = read('Results/Graph_Season_TR_{}.txt'.format(interactions)) avg2, avg3, avg4, avg5, avg6 = [], [], [], [], [] GH = nx.read_gexf('Graph/Season/Frequency/G_frequency_season_1.gexf') Large = max(nx.connected_components(GH),key=len) for data in Data: if data.count('-1') == 0: if data[0] in Large and data[1] in Large: if data[2] == '2': avg2.append(list(map(int, map(float, data[10:])))) if data[2] == '3': avg3.append(list(map(int, map(float, data[10:])))) if data[2] == '4': avg4.append(list(map(int, map(float, data[10:])))) if data[2] == '5': avg5.append(list(map(int, map(float, data[10:])))) if int(data[2]) >= 6 and int(data[2]) <= 100: avg6.append(list(map(int, map(float, data[10:])))) plt.figure(figsize=(7, 7)) ax = plt.axes() X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg2)): if avg2[j][i] != 0: H[i].append(mt.log(avg2[j][i] + 1)-mt.log(avg2[j][0]+1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#34495e", ls='-', label='$=2$', ecolor='#34495e', marker='^', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg3)): if avg3[j][i] != 0: H[i].append(mt.log(avg3[j][i] + 1)-mt.log(avg3[j][0] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#2980b9", ls='-', label='$=3$', ecolor='#2980b9', marker='s', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg4)): if avg4[j][i] != 0: H[i].append(mt.log(avg4[j][i] + 1)-mt.log(avg4[j][0] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#7f8c8d", ls='-', label='$=4$', ecolor='#7f8c8d', marker='p', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg5)): if avg5[j][i] != 0: H[i].append(mt.log(avg5[j][i] + 1)-mt.log(avg5[j][0] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#c0392b", ls='-', label='$=5$', ecolor='#c0392b', marker='H', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [1, 2, 3, 4, 5, 6, 7, 8] H = [[] for i in range(8)] Y = [] Err = [] for i in range(8): for j in range(len(avg6)): if avg6[j][i] != 0: H[i].append(mt.log(avg6[j][i] + 1)-mt.log(avg6[j][0] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#8e44ad", ls='-', label='$\geq6$', ecolor='#8e44ad', marker='8', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) plt.xlabel('Phase', fontsize=25) plt.ylabel('$\Delta log$(Interaction {})'.format(interactions), fontsize=25) plt.xticks(fontsize=20) plt.yticks(fontsize=20) plt.ylim([-0.4, 0.8]) legend = plt.legend(frameon=False, loc='upper right', title='Tie Range in Phase 1', fontsize=20) legend.get_title().set_fontsize(fontsize=20) if interactions == 'Duration': plt.ylim([-0.5, 1.5]) plt.subplots_adjust(left=0.205, bottom=0.11, right=0.98, top=0.97) plt.savefig('Plots/Manuscript/IncrementDuration.pdf', format='pdf') if interactions == 'Frequency': plt.ylim([-0.5, 1.5]) plt.subplots_adjust(left=0.205, bottom=0.11, right=0.98, top=0.97) plt.savefig('Plots/Manuscript/IncrementFrequency.pdf', format='pdf') plt.show() # Fig.~4 def TransitionTR(a, b): Data = np.load('Results/trevolution/Frequency_Season_{}_{}.npy'.format(a, b)) plt.figure(figsize=(7,7)) DS = [] for data in Data: if -1 in data or 101 in data[:2] or 100 in data[:2]: continue else: x = list(map(int,map(float, data[:4]))) if x[0] > 6: x[0] = 6 if x[1] > 6: x[1] = 6 DS.append(x) A = [[0 for j in range(6)] for i in range(5)] B = [[0 for j in range(5)] for i in range(5)] for data in DS: if data[2] > 0: if data[3] == 0: A[int(data[0])-2][5] += 1 else: if int(data[1]) >= 6: A[int(data[0])-2][4] +=1 else: A[int(data[0])-2][int(data[1])-2] += 1 for data in DS: B[int(data[1])-2][int(data[0])-2] += 1 EA = [sum(A[i][:5]) for i in range(5)] NormA = [[0 for j in range(5)] for i in range(5)] for i in range(5): for j in range(5): NormA[i][j] = A[i][j]/EA[i] NormA = np.array(NormA) h = sns.heatmap(data=NormA, cmap='YlOrBr', annot=True, annot_kws={'size':15}, cbar=False) cb = h.figure.colorbar(h.collections[0]) cb.ax.tick_params(labelsize=20) plt.xticks([0.5,1.5,2.5,3.5,4.5],['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.yticks([0.5,1.5,2.5,3.5,4.5],['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.xlabel('Tie Range in Phase %d'%b, fontsize=25) plt.ylabel('Tie Range in Phase %d'%a, fontsize=25) plt.subplots_adjust(left=0.12, bottom=0.11, right=1, top=0.98) plt.savefig('Plots/Manuscript/Transition_P{}_P{}.pdf'.format(a,b), format='pdf') # plt.show() # Fig.~5,S8, def InteractionTR(interactions, a, b): Data = np.load('Results/trevolution/{}_Season_{}_{}.npy'.format(interactions, a, b)) plt.figure(figsize=(7, 7)) DS = [] for data in Data: if -1 in data or 101 in data[:2] or 100 in data[:2]: continue else: x = list(map(int, map(float, data))) if x[0] > 6: x[0] = 6 if x[1] > 6: x[1] = 6 DS.append(x) All = [] for i in range(5): for j in range(5): H = [] for data in DS: if data[2] != 0: if data[0] == i + 2 and data[1] == j + 2: H.append(mt.log(data[3] + 1)) All.append([i + 2, j + 2, mt.log(data[3] + 1)]) df = pd.DataFrame(All, columns=['Tie Range in Phase a', 'Tie Range in Phase b', '$Ln({})$ in Phase b'.format(interactions)]) A = df.groupby(['Tie Range in Phase a', 'Tie Range in Phase b'])['$Ln({})$ in Phase b'.format(interactions)].mean() NormA = np.array(list(A)).reshape(5,5) h = sns.heatmap(data=NormA, cmap='YlOrBr', annot=True, annot_kws={'size': 15}, cbar=False) cb = h.figure.colorbar(h.collections[0]) cb.ax.tick_params(labelsize=20) plt.xticks([0.5, 1.5, 2.5, 3.5, 4.5], ['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.yticks([0.5, 1.5, 2.5, 3.5, 4.5], ['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.xlabel('Tie Range in Phase {}'.format(b), fontsize=25) plt.ylabel('Tie Range in Phase {}'.format(a), fontsize=25) plt.title('$log$({}) in Phase {}'.format(interactions, b), fontsize=30) plt.subplots_adjust(left=0.12, bottom=0.11, right=1, top=0.93) if b <= 2: plt.savefig('Plots/Manuscript/Evolution_P{}_P{}_{}.pdf'.format(a, b, interactions), format='pdf') if b > 2: plt.savefig('Plots/SI/Evolution_P{}_P{}_{}.pdf'.format(a, b, interactions), format='pdf') # plt.show() # Fig.~5,S8, def PPTR(a, b): Data = np.load('Results/trevolution/Frequency_Season_%d_%d.npy'%(a, b)) plt.figure(figsize=(7,7)) DS = [] for data in Data: if -1 in data or 101 in data[:2] or 100 in data[:2]: continue else: x = list(map(int,map(float, data[:4]))) if x[0] > 6: x[0] = 6 if x[1] > 6: x[1] = 6 DS.append(x) A = [[0 for j in range(5)] for i in range(5)] B = [[0 for j in range(5)] for i in range(5)] for data in DS: if data[2] > 0: if data[3] != 0: A[int(data[0])-2][int(data[1])-2] += 1 B[int(data[0]) - 2][int(data[1]) - 2] += 1 NormA = [[0 for j in range(5)] for i in range(5)] for i in range(5): for j in range(5): NormA[i][j] = A[i][j]/B[i][j] NormA = np.array(NormA) h = sns.heatmap(data=NormA, cmap='YlOrBr', annot=True, annot_kws={'size':15}, cbar=False) cb = h.figure.colorbar(h.collections[0]) cb.ax.tick_params(labelsize=20) plt.xticks([0.5,1.5,2.5,3.5,4.5],['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.yticks([0.5,1.5,2.5,3.5,4.5],['$2$', '$3$', '$4$', '$5$', '$\geq6$'], fontsize=20) plt.xlabel('Tie Range in Phase %d'%b, fontsize=25) plt.ylabel('Tie Range in Phase %d'%a, fontsize=25) plt.title('Persistence Probability', fontsize=30) plt.subplots_adjust(left=0.12, bottom=0.11, right=1, top=0.93) if b <= 2: plt.savefig('Plots/Manuscript/PersistenceProbability_P{}_P{}.pdf'.format(a, b), format='pdf') else: plt.savefig('Plots/SI/PersistenceProbability_P{}_P{}.pdf'.format(a, b), format='pdf') # plt.show() # Fig.~6 def old_new(interactions): fig = plt.figure(figsize=(7.2,7.2)) ax = plt.axes() Data = read('Results/{}_season_1_2.txt'.format(interactions)) DS = [] for data in Data: if '-1' in data or '101' in data[:2] or '100' in data[:2]: continue else: x = list(map(int,map(float, data))) if x[0] > 6: x[0] = 6 if x[1] > 6: x[1] = 6 DS.append(x) X = [2,3,4,5,6] H = [[] for i in range(5)] Y = [] Err = [] for i in range(5): for j in range(len(DS)): if DS[j][2] == 0: H[DS[j][1]-2].append(mt.log(DS[j][3] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#34495e", ls='--', label='New in Phase 2', ecolor='#34495e', marker='d', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) X = [2,3,4,5,6] H = [[] for i in range(5)] Y = [] Err = [] for i in range(5): for j in range(len(DS)): if DS[j][3] != 0: H[DS[j][1] - 2].append(mt.log(DS[j][3] + 1)) Y.append(np.mean(H[i])) Err.append(mean_confidence_interval(H[i])) plt.errorbar(x=X, y=Y, yerr=Err, fmt="o", color="#2980b9", ls='-', label='Existing in Phase 1', ecolor='#2980b9', marker='o', markersize=10, linewidth=2, elinewidth=0.5, capsize=4) plt.xlabel('Tie Range in Phase 2', fontsize=25) plt.ylabel('$log$(Interaction {}) in Phase 2'.format(interactions), fontsize=25) plt.xticks([2,3,4,5,6], ['2', '3', '4', '5','$\geq6$'],fontsize=20) plt.yticks(fontsize=20) if interactions == 'Frequency': plt.ylim([0.8, 2]) if interactions == 'Duration': plt.ylim([3, 6]) legend = plt.legend(frameon=False, loc='upper right', title='Tie Status', fontsize=20) legend.get_title().set_fontsize(fontsize=20) ax.spines['top'].set_visible(False) ax.spines['right'].set_visible(False) plt.subplots_adjust(left=0.145, bottom=0.11, right=0.98, top=0.97) plt.savefig('Plots/Manuscript/ExistingvsNew_{}.pdf'.format(interactions), format='pdf') # plt.show()

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3,237

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0.0344

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0

1

0

1

0

null

0

7

894f1df185aa660a1cdf6ae635bfedec9cc18326

6,086

py

Python

tests/unit/test_profiles.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

7

2020-11-01T19:50:11.000Z

2022-01-18T17:45:19.000Z

tests/unit/test_profiles.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

24

2020-11-09T08:09:10.000Z

2021-06-16T07:22:14.000Z

tests/unit/test_profiles.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

1

2021-04-27T14:39:48.000Z

import unittest from xrdsst.core.profile.profile_data import ProfileData from xrdsst.core.profile.profile_types_enum import ProfileTypesEnum from xrdsst.core.profile.certificate_types_enum import CertificateTypesEnum from xrdsst.core.profile.profile_factory import ProfileFactory import pytest class TestProfiles(unittest.TestCase): profile_data = ProfileData( instance_identifier="DEV", member_class="COM", member_code="12345", security_server_dns="ssX_dns", security_server_code="ssX_code", owner_code="111", owner_class="ORG", member_name="NIIS" ) @pytest.fixture(autouse=True) def capsys(self, capsys): self.capsys = capsys def test_profile_data_construct(self): assert self.profile_data.serial_number_auth == "DEV/ssX_code/ORG" assert self.profile_data.serial_number_sign == "DEV/ssX_code/COM" assert self.profile_data.security_server_id == "/ORG/111/ssX_code" def test_ejbca_auth_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.AUTH, profile_type=ProfileTypesEnum.EJBCA) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 2 assert result["C"] == self.profile_data.instance_identifier assert result["CN"] == self.profile_data.security_server_code def test_ejbca_sign_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.SIGN, profile_type=ProfileTypesEnum.EJBCA) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 3 assert result["C"] == self.profile_data.instance_identifier assert result["O"] == self.profile_data.member_class assert result["CN"] == self.profile_data.member_code def test_fivrk_auth_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.AUTH, profile_type=ProfileTypesEnum.FI) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 4 assert result["C"] == "FI" assert result["O"] == self.profile_data.member_name assert result["serialNumber"] == self.profile_data.serial_number_auth assert result["CN"] == self.profile_data.security_server_dns def test_fivrk_sign_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.SIGN, profile_type=ProfileTypesEnum.FI) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 4 assert result["C"] == "FI" assert result["O"] == self.profile_data.member_name assert result["serialNumber"] == self.profile_data.serial_number_sign assert result["CN"] == self.profile_data.member_code def test_fo_auth_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.AUTH, profile_type=ProfileTypesEnum.FO) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 3 assert result["C"] == "FO" assert result["O"] == self.profile_data.instance_identifier assert result["CN"] == self.profile_data.security_server_id def test_fo_sign_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.SIGN, profile_type=ProfileTypesEnum.FO) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 5 assert result["C"] == "FO" assert result["O"] == self.profile_data.instance_identifier assert result["OU"] == self.profile_data.member_class assert result["CN"] == self.profile_data.member_code assert result["serialNumber"] == self.profile_data.security_server_id def test_is_auth_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.AUTH, profile_type=ProfileTypesEnum.IS) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 3 assert result["C"] == "IS" assert result["CN"] == self.profile_data.security_server_dns assert result["serialNumber"] == self.profile_data.security_server_id def test_is_sign_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.SIGN, profile_type=ProfileTypesEnum.IS) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 5 assert result["C"] == "IS" assert result["O"] == self.profile_data.instance_identifier assert result["OU"] == self.profile_data.member_class assert result["CN"] == self.profile_data.member_code assert result["serialNumber"] == self.profile_data.security_server_id def test_default_auth_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.AUTH, profile_type=None) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 4 assert result["C"] == "FI" assert result["O"] == self.profile_data.member_name assert result["serialNumber"] == self.profile_data.serial_number_auth assert result["CN"] == self.profile_data.security_server_dns def test_default_sign_certificate_profile(self): profile = ProfileFactory().get_profile_builder(certificate_type=CertificateTypesEnum.SIGN, profile_type=None) result = profile.build_profile(profile_data=self.profile_data) assert len(result) == 4 assert result["C"] == "FI" assert result["O"] == self.profile_data.member_name assert result["serialNumber"] == self.profile_data.serial_number_sign assert result["CN"] == self.profile_data.member_code

47.92126

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0.725107

727

6,086

5.775791

0.097662

0.144082

0.150036

0.060014

0.867588

0.847583

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0.819243

0.808288

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0.172527

6,086

126

136

48.301587

0.829627

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0

null

0

1

0

null

0

1

0

7

89745c805620b9a97bf8d70fce57d3053bbc657e

93

py

Python

tests/test_A001221.py

Olyno/oeis

300446e7735a90af10f14353366326bfcff33ae4

[ "MIT" ]

null

tests/test_A001221.py

Olyno/oeis

300446e7735a90af10f14353366326bfcff33ae4

[ "MIT" ]

null

tests/test_A001221.py

Olyno/oeis

300446e7735a90af10f14353366326bfcff33ae4

[ "MIT" ]

null

from oeis import A001221 def test_A001221(): assert A001221[0:6] == [0, 1, 1, 1, 1, 2]

15.5

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0.612903

17

93

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0

1

0

1

0

8

899c2fb11cc2e1ce42d66b5d638fd1584bc57975

2,225

py

Python

orders/migrations/0023_auto_20200120_1608.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

null

orders/migrations/0023_auto_20200120_1608.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

9

2020-01-10T14:10:02.000Z

2022-03-12T00:08:19.000Z

orders/migrations/0023_auto_20200120_1608.py

yun-mh/uniwalk

f5307f6970b24736d13b56b4792c580398c35b3a

[ "Apache-2.0" ]

null

# Generated by Django 2.2.5 on 2020-01-20 07:08 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('orders', '0022_auto_20200120_1554'), ] operations = [ migrations.AlterField( model_name='orderitem', name='midsole_material_left', field=models.CharField(max_length=20, verbose_name='ミッドソール素材(左)'), ), migrations.AlterField( model_name='orderitem', name='midsole_material_right', field=models.CharField(max_length=20, verbose_name='ミッドソール素材(右)'), ), migrations.AlterField( model_name='orderitem', name='outsole_material_left', field=models.CharField(max_length=20, verbose_name='アウトソール素材(左)'), ), migrations.AlterField( model_name='orderitem', name='outsole_material_right', field=models.CharField(max_length=20, verbose_name='アウトソール素材(右)'), ), migrations.AlterField( model_name='orderitem', name='shoelace_material_left', field=models.CharField(max_length=20, verbose_name='シューレース素材(左)'), ), migrations.AlterField( model_name='orderitem', name='shoelace_material_right', field=models.CharField(max_length=20, verbose_name='シューレース素材(右)'), ), migrations.AlterField( model_name='orderitem', name='tongue_material_left', field=models.CharField(max_length=20, verbose_name='タン素材(左)'), ), migrations.AlterField( model_name='orderitem', name='tongue_material_right', field=models.CharField(max_length=20, verbose_name='タン素材(右)'), ), migrations.AlterField( model_name='orderitem', name='uppersole_material_left', field=models.CharField(max_length=20, verbose_name='アッパーソール素材(左)'), ), migrations.AlterField( model_name='orderitem', name='uppersole_material_right', field=models.CharField(max_length=20, verbose_name='アッパーソール素材(右)'), ), ]

34.765625

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0.595506

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2,225

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0.223744

0.157233

0.196541

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0.875

0.486635

0.428459

0

0.032055

0.284944

2,225

63

80

35.31746

0.767442

0.020225

0

0.526316

1

0

0.202938

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0

1

0

false

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0.070175

0

null

0

1

0

1

0

null

0

7

89b4e78819ae4327328461dfc804a2e885d7917b

7,547

py

Python

mineable_token_abis.py

JoaoCampos89/0xbtc-discord-price-bot

6eb6839213dfb0176c0be72c2dda7193d4131750

[ "MIT" ]

10

2018-05-01T14:54:55.000Z

2022-01-24T09:37:31.000Z

mineable_token_abis.py

JoaoCampos89/0xbtc-discord-price-bot

6eb6839213dfb0176c0be72c2dda7193d4131750

[ "MIT" ]

1

2019-04-10T16:44:52.000Z

mineable_token_abis.py

JoaoCampos89/0xbtc-discord-price-bot

6eb6839213dfb0176c0be72c2dda7193d4131750

[ "MIT" ]

16

2018-06-06T21:44:18.000Z

2021-09-22T09:35:59.000Z

abis ={ '0xBTC' : '[{"constant":true,"inputs":[],"name":"name","outputs":[{"name":"","type":"string"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"spender","type":"address"},{"name":"tokens","type":"uint256"}],"name":"approve","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"lastRewardEthBlockNumber","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"getMiningDifficulty","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"nonce","type":"uint256"},{"name":"challenge_digest","type":"bytes32"}],"name":"mint","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"totalSupply","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"tokens","type":"uint256"}],"name":"transferFrom","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"rewardEra","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"decimals","outputs":[{"name":"","type":"uint8"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"getMiningTarget","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"_totalSupply","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"getMiningReward","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"getChallengeNumber","outputs":[{"name":"","type":"bytes32"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"maxSupplyForEra","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"tokensMinted","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"lastRewardTo","outputs":[{"name":"","type":"address"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"tokenOwner","type":"address"}],"name":"balanceOf","outputs":[{"name":"balance","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[],"name":"acceptOwnership","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[{"name":"nonce","type":"uint256"},{"name":"challenge_digest","type":"bytes32"},{"name":"challenge_number","type":"bytes32"},{"name":"testTarget","type":"uint256"}],"name":"checkMintSolution","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"epochCount","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"_MAXIMUM_TARGET","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"miningTarget","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"challengeNumber","outputs":[{"name":"","type":"bytes32"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"owner","outputs":[{"name":"","type":"address"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"symbol","outputs":[{"name":"","type":"string"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"nonce","type":"uint256"},{"name":"challenge_digest","type":"bytes32"},{"name":"challenge_number","type":"bytes32"}],"name":"getMintDigest","outputs":[{"name":"digesttest","type":"bytes32"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"to","type":"address"},{"name":"tokens","type":"uint256"}],"name":"transfer","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"_BLOCKS_PER_READJUSTMENT","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"lastRewardAmount","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"spender","type":"address"},{"name":"tokens","type":"uint256"},{"name":"data","type":"bytes"}],"name":"approveAndCall","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"latestDifficultyPeriodStarted","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[],"name":"newOwner","outputs":[{"name":"","type":"address"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"tokenAddress","type":"address"},{"name":"tokens","type":"uint256"}],"name":"transferAnyERC20Token","outputs":[{"name":"success","type":"bool"}],"payable":false,"stateMutability":"nonpayable","type":"function"},{"constant":true,"inputs":[],"name":"_MINIMUM_TARGET","outputs":[{"name":"","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":true,"inputs":[{"name":"tokenOwner","type":"address"},{"name":"spender","type":"address"}],"name":"allowance","outputs":[{"name":"remaining","type":"uint256"}],"payable":false,"stateMutability":"view","type":"function"},{"constant":false,"inputs":[{"name":"_newOwner","type":"address"}],"name":"transferOwnership","outputs":[],"payable":false,"stateMutability":"nonpayable","type":"function"},{"inputs":[],"payable":false,"stateMutability":"nonpayable","type":"constructor"},{"payable":true,"stateMutability":"payable","type":"fallback"},{"anonymous":false,"inputs":[{"indexed":true,"name":"from","type":"address"},{"indexed":false,"name":"reward_amount","type":"uint256"},{"indexed":false,"name":"epochCount","type":"uint256"},{"indexed":false,"name":"newChallengeNumber","type":"bytes32"}],"name":"Mint","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"_from","type":"address"},{"indexed":true,"name":"_to","type":"address"}],"name":"OwnershipTransferred","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"from","type":"address"},{"indexed":true,"name":"to","type":"address"},{"indexed":false,"name":"tokens","type":"uint256"}],"name":"Transfer","type":"event"},{"anonymous":false,"inputs":[{"indexed":true,"name":"tokenOwner","type":"address"},{"indexed":true,"name":"spender","type":"address"},{"indexed":false,"name":"tokens","type":"uint256"}],"name":"Approval","type":"event"}]', }

1,509.4

7,534

0.65642

769

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6.420026

0.109233

0.089933

0.20235

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0.782662

0.768483

0.732834

0

0.015262

0.00159

7,547

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1

0

1

0

1

null

0

13

986489d2c4411e24fa2a9920e92a604671584311

88

py

Python

app/users/main/__init__.py

trinanda/app-store

a2ad176312c548b065f0e0acce4a51a10c96fb8f

[ "MIT" ]

null

app/users/main/__init__.py

trinanda/app-store

a2ad176312c548b065f0e0acce4a51a10c96fb8f

[ "MIT" ]

null

app/users/main/__init__.py

trinanda/app-store

a2ad176312c548b065f0e0acce4a51a10c96fb8f

[ "MIT" ]

null

from app.users.main import errors # noqa from app.users.main.views import main # noqa

29.333333

45

0.761364

15

88

4.466667

0.533333

0.208955

0.358209

0.477612

0

0.159091

88

2

46

44

0.905405

0.102273

0

1

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true

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1

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null

0

1

0

1

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1

0

8

988dbc521178901494305c4a8a8cdb51cbdff977

143,996

py

Python

TweakApi/apis/portal_template_folder_api.py

tweak-com-public/tweak-api-client-python

019f86da11fdb12683d516f8f37db5d717380bcc

[ "Apache-2.0" ]

null

TweakApi/apis/portal_template_folder_api.py

tweak-com-public/tweak-api-client-python

019f86da11fdb12683d516f8f37db5d717380bcc

[ "Apache-2.0" ]

null

TweakApi/apis/portal_template_folder_api.py

tweak-com-public/tweak-api-client-python

019f86da11fdb12683d516f8f37db5d717380bcc

[ "Apache-2.0" ]

null

# coding: utf-8 """ tweak-api Tweak API to integrate with all the Tweak services. You can find out more about Tweak at <a href='https://www.tweak.com'>https://www.tweak.com</a>, #tweak. OpenAPI spec version: 1.0.8-beta.0 Generated by: https://github.com/swagger-api/swagger-codegen.git Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class PortalTemplateFolderApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def portal_template_folders_change_stream_get(self, **kwargs): """ Create a change stream. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_change_stream_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str options: :return: file If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_change_stream_get_with_http_info(**kwargs) else: (data) = self.portal_template_folders_change_stream_get_with_http_info(**kwargs) return data def portal_template_folders_change_stream_get_with_http_info(self, **kwargs): """ Create a change stream. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_change_stream_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str options: :return: file If the method is called asynchronously, returns the request thread. """ all_params = ['options'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_change_stream_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders/change-stream'.replace('{format}', 'json') path_params = {} query_params = {} if 'options' in params: query_params['options'] = params['options'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='file', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_change_stream_post(self, **kwargs): """ Create a change stream. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_change_stream_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str options: :return: file If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_change_stream_post_with_http_info(**kwargs) else: (data) = self.portal_template_folders_change_stream_post_with_http_info(**kwargs) return data def portal_template_folders_change_stream_post_with_http_info(self, **kwargs): """ Create a change stream. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_change_stream_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str options: :return: file If the method is called asynchronously, returns the request thread. """ all_params = ['options'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_change_stream_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders/change-stream'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} if 'options' in params: form_params.append(('options', params['options'])) body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='file', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_count_get(self, **kwargs): """ Count instances of the model matched by where from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_count_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_count_get_with_http_info(**kwargs) else: (data) = self.portal_template_folders_count_get_with_http_info(**kwargs) return data def portal_template_folders_count_get_with_http_info(self, **kwargs): """ Count instances of the model matched by where from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_count_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ all_params = ['where'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_count_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders/count'.replace('{format}', 'json') path_params = {} query_params = {} if 'where' in params: query_params['where'] = params['where'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2001', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_find_one_get(self, **kwargs): """ Find first instance of the model matched by filter from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_find_one_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str filter: Filter defining fields, where, include, order, offset, and limit - must be a JSON-encoded string ({\"something\":\"value\"}) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_find_one_get_with_http_info(**kwargs) else: (data) = self.portal_template_folders_find_one_get_with_http_info(**kwargs) return data def portal_template_folders_find_one_get_with_http_info(self, **kwargs): """ Find first instance of the model matched by filter from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_find_one_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str filter: Filter defining fields, where, include, order, offset, and limit - must be a JSON-encoded string ({\"something\":\"value\"}) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['filter'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_find_one_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders/findOne'.replace('{format}', 'json') path_params = {} query_params = {} if 'filter' in params: query_params['filter'] = params['filter'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_get(self, **kwargs): """ Find all instances of the model matched by filter from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_get(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str filter: Filter defining fields, where, include, order, offset, and limit - must be a JSON-encoded string ({\"something\":\"value\"}) :return: list[PortalTemplateFolder] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_get_with_http_info(**kwargs) else: (data) = self.portal_template_folders_get_with_http_info(**kwargs) return data def portal_template_folders_get_with_http_info(self, **kwargs): """ Find all instances of the model matched by filter from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_get_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str filter: Filter defining fields, where, include, order, offset, and limit - must be a JSON-encoded string ({\"something\":\"value\"}) :return: list[PortalTemplateFolder] If the method is called asynchronously, returns the request thread. """ all_params = ['filter'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_get" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders'.replace('{format}', 'json') path_params = {} query_params = {} if 'filter' in params: query_params['filter'] = params['filter'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[PortalTemplateFolder]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_count_get(self, id, **kwargs): """ Counts children of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_count_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_count_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_children_count_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_children_count_get_with_http_info(self, id, **kwargs): """ Counts children of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_count_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'where'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_count_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_count_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children/count'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'where' in params: query_params['where'] = params['where'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2001', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_fk_delete(self, id, fk, **kwargs): """ Delete a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_delete(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_fk_delete_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_children_fk_delete_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_children_fk_delete_with_http_info(self, id, fk, **kwargs): """ Delete a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_delete_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_fk_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_fk_delete`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_children_fk_delete`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_fk_get(self, id, fk, **kwargs): """ Find a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_get(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_fk_get_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_children_fk_get_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_children_fk_get_with_http_info(self, id, fk, **kwargs): """ Find a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_get_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_fk_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_fk_get`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_children_fk_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_fk_put(self, id, fk, **kwargs): """ Update a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_put(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :param PortalTemplateFolder data: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_fk_put_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_children_fk_put_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_children_fk_put_with_http_info(self, id, fk, **kwargs): """ Update a related item by id for children. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_fk_put_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for children (required) :param PortalTemplateFolder data: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_fk_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_fk_put`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_children_fk_put`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_get(self, id, **kwargs): """ Queries children of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str filter: :return: list[PortalTemplateFolder] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_children_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_children_get_with_http_info(self, id, **kwargs): """ Queries children of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str filter: :return: list[PortalTemplateFolder] If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'filter'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'filter' in params: query_params['filter'] = params['filter'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[PortalTemplateFolder]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_children_post(self, id, **kwargs): """ Creates a new instance in children of this model. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_post(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param PortalTemplateFolder data: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_children_post_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_children_post_with_http_info(id, **kwargs) return data def portal_template_folders_id_children_post_with_http_info(self, id, **kwargs): """ Creates a new instance in children of this model. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_children_post_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param PortalTemplateFolder data: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_children_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_children_post`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/children'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_delete(self, id, **kwargs): """ Delete a model instance by {{id}} from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_delete(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: object If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_delete_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_delete_with_http_info(id, **kwargs) return data def portal_template_folders_id_delete_with_http_info(self, id, **kwargs): """ Delete a model instance by {{id}} from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_delete_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: object If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_delete`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='object', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_exists_get(self, id, **kwargs): """ Check whether a model instance exists in the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_exists_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: InlineResponse2002 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_exists_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_exists_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_exists_get_with_http_info(self, id, **kwargs): """ Check whether a model instance exists in the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_exists_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: InlineResponse2002 If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_exists_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_exists_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/exists'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2002', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_get(self, id, **kwargs): """ Find a model instance by {{id}} from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param str filter: Filter defining fields and include - must be a JSON-encoded string ({\"something\":\"value\"}) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_get_with_http_info(self, id, **kwargs): """ Find a model instance by {{id}} from the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param str filter: Filter defining fields and include - must be a JSON-encoded string ({\"something\":\"value\"}) :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'filter'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'filter' in params: query_params['filter'] = params['filter'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_head(self, id, **kwargs): """ Check whether a model instance exists in the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_head(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: InlineResponse2002 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_head_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_head_with_http_info(id, **kwargs) return data def portal_template_folders_id_head_with_http_info(self, id, **kwargs): """ Check whether a model instance exists in the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_head_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :return: InlineResponse2002 If the method is called asynchronously, returns the request thread. """ all_params = ['id'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_head" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_head`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'HEAD', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2002', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_parent_get(self, id, **kwargs): """ Fetches belongsTo relation parent. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_parent_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param bool refresh: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_parent_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_parent_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_parent_get_with_http_info(self, id, **kwargs): """ Fetches belongsTo relation parent. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_parent_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param bool refresh: :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'refresh'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_parent_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_parent_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/parent'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'refresh' in params: query_params['refresh'] = params['refresh'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_patch(self, id, **kwargs): """ Patch attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_patch(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param PortalTemplateFolder data: An object of model property name/value pairs :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_patch_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_patch_with_http_info(id, **kwargs) return data def portal_template_folders_id_patch_with_http_info(self, id, **kwargs): """ Patch attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_patch_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param PortalTemplateFolder data: An object of model property name/value pairs :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_patch" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_patch`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_portal_get(self, id, **kwargs): """ Fetches belongsTo relation portal. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_portal_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param bool refresh: :return: Portal If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_portal_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_portal_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_portal_get_with_http_info(self, id, **kwargs): """ Fetches belongsTo relation portal. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_portal_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param bool refresh: :return: Portal If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'refresh'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_portal_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_portal_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/portal'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'refresh' in params: query_params['refresh'] = params['refresh'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Portal', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_put(self, id, **kwargs): """ Replace attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_put(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_put_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_put_with_http_info(id, **kwargs) return data def portal_template_folders_id_put_with_http_info(self, id, **kwargs): """ Replace attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_put_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_put`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_replace_post(self, id, **kwargs): """ Replace attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_replace_post(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_replace_post_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_replace_post_with_http_info(id, **kwargs) return data def portal_template_folders_id_replace_post_with_http_info(self, id, **kwargs): """ Replace attributes for a model instance and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_replace_post_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: Model id (required) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_replace_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_replace_post`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/replace'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_count_get(self, id, **kwargs): """ Counts templates of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_count_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_count_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_templates_count_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_templates_count_get_with_http_info(self, id, **kwargs): """ Counts templates of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_count_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str where: Criteria to match model instances :return: InlineResponse2001 If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'where'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_count_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_count_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/count'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'where' in params: query_params['where'] = params['where'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='InlineResponse2001', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_fk_delete(self, id, fk, **kwargs): """ Delete a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_delete(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_fk_delete_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_fk_delete_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_fk_delete_with_http_info(self, id, fk, **kwargs): """ Delete a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_delete_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_fk_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_fk_delete`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_fk_delete`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_fk_get(self, id, fk, **kwargs): """ Find a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_get(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: Template If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_fk_get_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_fk_get_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_fk_get_with_http_info(self, id, fk, **kwargs): """ Find a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_get_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: Template If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_fk_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_fk_get`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_fk_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Template', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_fk_put(self, id, fk, **kwargs): """ Update a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_put(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :param Template data: :return: Template If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_fk_put_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_fk_put_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_fk_put_with_http_info(self, id, fk, **kwargs): """ Update a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_fk_put_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :param Template data: :return: Template If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_fk_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_fk_put`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_fk_put`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Template', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_get(self, id, **kwargs): """ Queries templates of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_get(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str filter: :return: list[Template] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_get_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_templates_get_with_http_info(id, **kwargs) return data def portal_template_folders_id_templates_get_with_http_info(self, id, **kwargs): """ Queries templates of PortalTemplateFolder. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_get_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str filter: :return: list[Template] If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'filter'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_get`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} if 'filter' in params: query_params['filter'] = params['filter'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Template]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_post(self, id, **kwargs): """ Creates a new instance in templates of this model. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_post(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param Template data: :return: Template If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_post_with_http_info(id, **kwargs) else: (data) = self.portal_template_folders_id_templates_post_with_http_info(id, **kwargs) return data def portal_template_folders_id_templates_post_with_http_info(self, id, **kwargs): """ Creates a new instance in templates of this model. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_post_with_http_info(id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param Template data: :return: Template If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_post" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_post`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Template', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_rel_fk_delete(self, id, fk, **kwargs): """ Remove the templates relation to an item by id. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_delete(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_rel_fk_delete_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_rel_fk_delete_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_rel_fk_delete_with_http_info(self, id, fk, **kwargs): """ Remove the templates relation to an item by id. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_delete_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_rel_fk_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_rel_fk_delete`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_rel_fk_delete`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/rel/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_rel_fk_head(self, id, fk, **kwargs): """ Check the existence of templates relation to an item by id. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_head(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: bool If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_rel_fk_head_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_rel_fk_head_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_rel_fk_head_with_http_info(self, id, fk, **kwargs): """ Check the existence of templates relation to an item by id. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_head_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :return: bool If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_rel_fk_head" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_rel_fk_head`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_rel_fk_head`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/rel/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'HEAD', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='bool', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_id_templates_rel_fk_put(self, id, fk, **kwargs): """ Add a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_put(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :param PortalTemplate data: :return: PortalTemplate If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_id_templates_rel_fk_put_with_http_info(id, fk, **kwargs) else: (data) = self.portal_template_folders_id_templates_rel_fk_put_with_http_info(id, fk, **kwargs) return data def portal_template_folders_id_templates_rel_fk_put_with_http_info(self, id, fk, **kwargs): """ Add a related item by id for templates. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_id_templates_rel_fk_put_with_http_info(id, fk, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str id: PortalTemplateFolder id (required) :param str fk: Foreign key for templates (required) :param PortalTemplate data: :return: PortalTemplate If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'fk', 'data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_id_templates_rel_fk_put" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params) or (params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `portal_template_folders_id_templates_rel_fk_put`") # verify the required parameter 'fk' is set if ('fk' not in params) or (params['fk'] is None): raise ValueError("Missing the required parameter `fk` when calling `portal_template_folders_id_templates_rel_fk_put`") collection_formats = {} resource_path = '/PortalTemplateFolders/{id}/templates/rel/{fk}'.replace('{format}', 'json') path_params = {} if 'id' in params: path_params['id'] = params['id'] if 'fk' in params: path_params['fk'] = params['fk'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplate', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats) def portal_template_folders_post(self, **kwargs): """ Create a new instance of the model and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_post(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.portal_template_folders_post_with_http_info(**kwargs) else: (data) = self.portal_template_folders_post_with_http_info(**kwargs) return data def portal_template_folders_post_with_http_info(self, **kwargs): """ Create a new instance of the model and persist it into the data source. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.portal_template_folders_post_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param PortalTemplateFolder data: Model instance data :return: PortalTemplateFolder If the method is called asynchronously, returns the request thread. """ all_params = ['data'] all_params.append('callback') all_params.append('_return_http_data_only') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method portal_template_folders_post" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/PortalTemplateFolders'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'data' in params: body_params = params['data'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json', 'application/xml', 'text/xml', 'application/javascript', 'text/javascript']) if not header_params['Accept']: del header_params['Accept'] # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json', 'application/x-www-form-urlencoded', 'application/xml', 'text/xml']) # Authentication setting auth_settings = ['access_token'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortalTemplateFolder', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), collection_formats=collection_formats)

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198

py

Python

test/automation/dataset/__init__.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

3

2022-01-12T06:51:51.000Z

2022-02-23T18:54:33.000Z

test/automation/dataset/__init__.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

6

2021-08-31T19:21:26.000Z

2022-01-03T05:53:42.000Z

test/automation/dataset/__init__.py

agupta54/ulca

c1f570ac254ce2ac73f40c49716458f4f7cbaee2

[ "MIT" ]

8

2021-08-12T08:07:49.000Z

2022-01-25T04:40:51.000Z

from . import loader from . import dataset_all from . import dataset_csv from . import dataset_submit from . import dataset_search from . import dataset_download from . import dataset_submit_status

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py

Python

tests/test_version.py

jed-frey/Ping

9297ca00fbbcf0cf3563ca9186e852a552ac79c9

[ "BSD-3-Clause" ]

1

2018-08-06T04:42:14.000Z

tests/test_version.py

jed-frey/WinPythonToxJenkins

9297ca00fbbcf0cf3563ca9186e852a552ac79c9

[ "BSD-3-Clause" ]

null

tests/test_version.py

jed-frey/WinPythonToxJenkins

9297ca00fbbcf0cf3563ca9186e852a552ac79c9

[ "BSD-3-Clause" ]

null

import sys def test_version1(): assert sys.version_info >= (3,0) def test_version2(): assert sys.version_info <= (3,0)

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7f743b8f41e0c7f8895dff2b520bf3bec16a9ed5

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py

Python

fastweb/test/test_pool.py

BSlience/fastweb

2c1b956e9846c4205d0201d39d09891d088754e4

[ "Apache-2.0" ]

123

2017-06-06T04:59:07.000Z

2019-07-11T10:20:35.000Z

fastweb/test/test_pool.py

BSlience/fastweb

2c1b956e9846c4205d0201d39d09891d088754e4

[ "Apache-2.0" ]

null

fastweb/test/test_pool.py

BSlience/fastweb

2c1b956e9846c4205d0201d39d09891d088754e4

[ "Apache-2.0" ]

2

2017-06-28T05:58:39.000Z

2018-09-25T00:18:33.000Z

# coding:utf8 from fastweb.accesspoint import ioloop from fastweb.component.db.mysql import SyncMysql, AsynMysql from fastweb.pool import SyncConnectionPool, AsynConnectionPool setting = {'host': 'localhost', 'port': 3306, 'user': 'root', 'password': ''} class TestSyncPool(object): def test_create(self): pool = SyncConnectionPool(SyncMysql, setting, name='test sync mysql pool', size=5, awake=10) pool.create() def test_add_connection(self): pool = SyncConnectionPool(SyncMysql, setting, name='test sync mysql pool', size=5, awake=10) pool.create() pool.add_connection() def test_get_connection(self): pool = SyncConnectionPool(SyncMysql, setting, name='test sync mysql pool', size=5, awake=10) pool.create() assert isinstance(pool.get_connection(), SyncMysql) def test_rescue(self): pool = SyncConnectionPool(SyncMysql, setting, name='test sync mysql pool', size=5, awake=10) pool.create() pool.rescue() def test_concurrency_get_connection(self): """大并发下的获取连接""" pass def test_maxconn_rescue(self): """动态扩展到最大连接数""" pass class TestAsynPool(object): def test_create(self): pool = AsynConnectionPool(AsynMysql, setting, name='test asyn pool', size=5, awake=10) ioloop.IOLoop.current().run_sync(pool.create) def test_add_connection(self): pool = AsynConnectionPool(AsynMysql, setting, name='test asyn pool', size=5, awake=10) ioloop.IOLoop.current().run_sync(pool.create) ioloop.IOLoop.current().run_sync(pool.add_connection) def test_get_connection(self): pool = AsynConnectionPool(AsynMysql, setting, name='test asyn pool', size=5, awake=10) ioloop.IOLoop.current().run_sync(pool.create) assert isinstance(pool.get_connection(), AsynMysql) def test_rescue(self): pool = AsynConnectionPool(AsynMysql, setting, name='test asyn pool', size=5, awake=10) ioloop.IOLoop.current().run_sync(pool.create) ioloop.IOLoop.current().run_sync(pool.rescue) def test_concurrency_get_connection(self): """大并发下的获取连接""" pass def test_maxconn_rescue(self): """动态扩展到最大连接数""" pass

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9

7fb376e35adad761facc7a7091aacb89f01d5da7

11,125

py

Python

test/test_collector.py

douardda/tidypy

9d4c6470af8e0ca85209333a99787290f36498d4

[ "MIT" ]

33

2018-03-13T21:30:51.000Z

2022-01-17T02:14:59.000Z

test/test_collector.py

douardda/tidypy

9d4c6470af8e0ca85209333a99787290f36498d4

[ "MIT" ]

89

2017-10-14T16:39:20.000Z

2022-03-06T17:23:36.000Z

test/test_collector.py

douardda/tidypy

9d4c6470af8e0ca85209333a99787290f36498d4

[ "MIT" ]

9

2018-05-17T16:11:12.000Z

2021-09-15T01:48:16.000Z

import random from tidypy import Collector, Issue, TidyPyIssue, get_default_config class FooIssue(Issue): tool = 'foo' class BarIssue(Issue): tool = 'bar' def test_basics(): collector = Collector(get_default_config()) assert collector.get_issues() == [] assert collector.issue_count() == 0 assert collector.issue_count(include_unclean=True) == 0 collector.add_issues( FooIssue('test', 'test message', 'test/file.ext', 1), ) collector.add_issues([ FooIssue('test2', 'test message 2', 'test/file.ext', 2), BarIssue('test3', 'test message 3', 'test/file.ext', 3), ]) assert collector.issue_count() == 3 assert collector.issue_count(include_unclean=True) == 3 def test_disabled(): cfg = get_default_config() cfg['disabled'] = ['foo'] collector = Collector(cfg) collector.add_issues([ TidyPyIssue('code1', 'message 1', 'test1.py', 2), TidyPyIssue('foo', 'message 2', 'test2.py', 3), ]) assert collector.issue_count() == 1 assert collector.issue_count(include_unclean=True) == 2 assert collector.get_issues()[0].code == 'code1' def test_sort_issues_default(): collector = Collector(get_default_config()) expected = [ BarIssue('test', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 2), FooIssue('test', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 2), BarIssue('test', 'test message', 'test/file.ext', 2, 5), BarIssue('test2', 'test message', 'test/file.ext', 2, 5), FooIssue('test', 'test message', 'test/file.ext', 2, 5), FooIssue('test2', 'test message', 'test/file.ext', 2, 5), BarIssue('test', 'test message', 'test/file.ext', 5, 3), BarIssue('test2', 'test message', 'test/file.ext', 5, 3), FooIssue('test', 'test message', 'test/file.ext', 5, 3), FooIssue('test2', 'test message', 'test/file.ext', 5, 3), BarIssue('test', 'test message', 'test/file2.ext', 2), BarIssue('test2', 'test message', 'test/file2.ext', 2), FooIssue('test', 'test message', 'test/file2.ext', 2), FooIssue('test2', 'test message', 'test/file2.ext', 2), BarIssue('test', 'test message', 'test/file2.ext', 2, 5), BarIssue('test2', 'test message', 'test/file2.ext', 2, 5), FooIssue('test', 'test message', 'test/file2.ext', 2, 5), FooIssue('test2', 'test message', 'test/file2.ext', 2, 5), BarIssue('test', 'test message', 'test/file2.ext', 5, 3), BarIssue('test2', 'test message', 'test/file2.ext', 5, 3), FooIssue('test', 'test message', 'test/file2.ext', 5, 3), FooIssue('test2', 'test message', 'test/file2.ext', 5, 3), ] shuffled = [] + expected random.shuffle(shuffled) assert collector._sort_issues(shuffled) == expected def test_sort_issues_custom(): collector = Collector(get_default_config()) expected = [ BarIssue('test', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 5), FooIssue('test', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 5), ] shuffled = [] + expected random.shuffle(shuffled) assert collector._sort_issues(shuffled, ('tool', 'code', 'line')) == expected def test_sort_issues_empty(): collector = Collector(get_default_config()) expected = [ BarIssue('test', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 5), FooIssue('test', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 5), ] assert collector._sort_issues(expected, collector.NO_SORT) == expected def test_get_grouped_issues_default(): cfg = get_default_config() cfg['merge-issues'] = False collector = Collector(cfg) expected = { 'test/file.ext': [ BarIssue('test', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 2), FooIssue('test', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 2), BarIssue('test', 'test message', 'test/file.ext', 2, 5), BarIssue('test2', 'test message', 'test/file.ext', 2, 5), FooIssue('test', 'test message', 'test/file.ext', 2, 5), FooIssue('test2', 'test message', 'test/file.ext', 2, 5), BarIssue('test', 'test message', 'test/file.ext', 5, 3), BarIssue('test2', 'test message', 'test/file.ext', 5, 3), FooIssue('test', 'test message', 'test/file.ext', 5, 3), FooIssue('test2', 'test message', 'test/file.ext', 5, 3), ], 'test/file2.ext': [ BarIssue('test', 'test message', 'test/file2.ext', 2), BarIssue('test2', 'test message', 'test/file2.ext', 2), FooIssue('test', 'test message', 'test/file2.ext', 2), FooIssue('test2', 'test message', 'test/file2.ext', 2), BarIssue('test', 'test message', 'test/file2.ext', 2, 5), BarIssue('test2', 'test message', 'test/file2.ext', 2, 5), FooIssue('test', 'test message', 'test/file2.ext', 2, 5), FooIssue('test2', 'test message', 'test/file2.ext', 2, 5), BarIssue('test', 'test message', 'test/file2.ext', 5, 3), BarIssue('test2', 'test message', 'test/file2.ext', 5, 3), FooIssue('test', 'test message', 'test/file2.ext', 5, 3), FooIssue('test2', 'test message', 'test/file2.ext', 5, 3), ], } shuffled = [] for issues in expected.values(): shuffled += issues random.shuffle(shuffled) collector.add_issues(shuffled) assert collector.get_grouped_issues() == expected assert collector.issue_count() == len(shuffled) assert collector.issue_count(include_unclean=True) == len(shuffled) def test_get_grouped_issues_custom(): collector = Collector(get_default_config()) expected = { 'test': [ BarIssue('test', 'test message', 'test/file.ext', 2), FooIssue('test', 'test message', 'test/file.ext', 2), ], 'test2': [ BarIssue('test2', 'test message', 'test/file.ext', 2), BarIssue('test2', 'test message', 'test/file.ext', 5), FooIssue('test2', 'test message', 'test/file.ext', 2), FooIssue('test2', 'test message', 'test/file.ext', 5), ], } shuffled = [] for issues in expected.values(): shuffled += issues random.shuffle(shuffled) collector.add_issues(shuffled) assert collector.get_grouped_issues(lambda x: x.code, ('tool', 'line')) == expected assert collector.issue_count() == len(shuffled) assert collector.issue_count(include_unclean=True) == len(shuffled) def test_disabled(): cfg = get_default_config() cfg['disabled'] = ['test'] collector = Collector(cfg) issues = [ TidyPyIssue('test', 'test message', 'test/file.ext', 2), TidyPyIssue('test2', 'test message', 'test/file.ext', 2), TidyPyIssue('test3', 'test message', 'test/file.ext', 2), ] collector.add_issues(issues) assert collector.get_issues() == issues[1:] assert collector.issue_count() == 2 assert collector.issue_count(include_unclean=True) == 3 def test_merging_dupes(): collector = Collector(get_default_config()) issues = [ TidyPyIssue('test', 'test message', 'test/file.ext', 2), TidyPyIssue('test', 'test message', 'test/file.ext', 2), TidyPyIssue('test2', 'test message', 'test/file.ext', 2), TidyPyIssue('test', 'test message', 'test/file.ext', 3), TidyPyIssue('test2', 'test message', 'test/file2.ext', 2), ] collector.add_issues(issues) assert collector.get_issues() == [issues[0]] + issues[2:] assert collector.issue_count() == 4 assert collector.issue_count(include_unclean=True) == 5 def test_noqa(tmpdir): project_dir = tmpdir.mkdir('noqa') py_file = project_dir.join('file.py') py_file.write('\nsomething # noqa: test1\n\n# NoQA\n\n\n\n# NOqa: tidypy:test6,foobar,@bar') yaml_file = project_dir.join('file.yaml') cfg = get_default_config() cfg['merge-issues'] = False collector = Collector(cfg) good_issues = [ TidyPyIssue('test', 'test message', str(py_file), 2), TidyPyIssue('test4', 'test message', str(py_file), 6), TidyPyIssue('test5', 'test message', str(yaml_file), 2), TidyPyIssue('test7', 'test message', str(py_file), 8), BarIssue('test8', 'test message', str(py_file), 7), ] filtered_issues = [ TidyPyIssue('test1', 'test message', str(py_file), 2), TidyPyIssue('test2', 'test message', str(py_file), 4), TidyPyIssue('test3', 'test message', str(py_file), 4), TidyPyIssue('test6', 'test message', str(py_file), 8), BarIssue('test9', 'test message', str(py_file), 8), ] collector.add_issues(good_issues) collector.add_issues(filtered_issues) assert good_issues == collector.get_issues(sortby=collector.NO_SORT) assert collector.issue_count() == len(good_issues) assert collector.issue_count(include_unclean=True) == len(good_issues + filtered_issues) def test_noqa_disabled(tmpdir): project_dir = tmpdir.mkdir('noqa') py_file = project_dir.join('file.py') py_file.write('\nsomething # noqa: test1\n\n# NoQA\n\n\n\n# NOqa: tidypy:test6,foobar,@bar') yaml_file = project_dir.join('file.yaml') cfg = get_default_config() cfg['merge-issues'] = False cfg['noqa'] = False collector = Collector(cfg) good_issues = [ TidyPyIssue('test', 'test message', str(py_file), 2), TidyPyIssue('test4', 'test message', str(py_file), 6), TidyPyIssue('test5', 'test message', str(yaml_file), 2), TidyPyIssue('test7', 'test message', str(py_file), 8), BarIssue('test8', 'test message', str(py_file), 7), ] filtered_issues = [ TidyPyIssue('test1', 'test message', str(py_file), 2), TidyPyIssue('test2', 'test message', str(py_file), 4), TidyPyIssue('test3', 'test message', str(py_file), 4), TidyPyIssue('test6', 'test message', str(py_file), 8), BarIssue('test9', 'test message', str(py_file), 8), ] collector.add_issues(good_issues) collector.add_issues(filtered_issues) assert good_issues + filtered_issues == collector.get_issues(sortby=collector.NO_SORT) assert collector.issue_count() == len(good_issues + filtered_issues) assert collector.issue_count(include_unclean=True) == len(good_issues + filtered_issues)

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null

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7

f68cd47241ac64a6443eccd3f3f9b8f20163fb9e

1,825

py

Python

modules/2.79/bpy/ops/surface.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/ops/surface.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/ops/surface.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

def primitive_nurbs_surface_circle_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def primitive_nurbs_surface_curve_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def primitive_nurbs_surface_cylinder_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def primitive_nurbs_surface_sphere_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def primitive_nurbs_surface_surface_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass def primitive_nurbs_surface_torus_add(radius=1.0, view_align=False, enter_editmode=False, location=(0.0, 0.0, 0.0), rotation=(0.0, 0.0, 0.0), layers=(False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False, False)): pass

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11

f6b1678c5b1c3fefa835361123cedd903b12d79c

20,301

py

Python

tests/test_util.py

mritv/edflow

9bef77e32a74d9ee4108182d8cab177b5dd36731

[ "MIT" ]

1

2020-04-01T07:41:21.000Z

tests/test_util.py

mritv/edflow

9bef77e32a74d9ee4108182d8cab177b5dd36731

[ "MIT" ]

null

tests/test_util.py

mritv/edflow

9bef77e32a74d9ee4108182d8cab177b5dd36731

[ "MIT" ]

null

import pytest import copy from edflow.util import ( set_value, retrieve, walk, set_default, contains_key, KeyNotFoundError, get_leaf_names, ) from edflow import util from itertools import product # ================= set_value ==================== def test_pop_value_from_key(): collection = {"a": [1, 2]} key = "a" popped_value = util.pop_value_from_key(collection, key) expected_value = [1, 2] assert expected_value == popped_value def pytest_generate_tests(metafunc): # called once per each test class # http://doc.pytest.org/en/latest/example/parametrize.html if metafunc.cls is not None: funcarglist = metafunc.cls.params[metafunc.function.__name__] argnames = metafunc.cls.argnames metafunc.parametrize(argnames, funcarglist) def make_collection(): collection = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} return collection class Test_pop_keypath: argnames = ("collection", "key", "expected_value") params = { "test_pop_keypath": [ (make_collection(), "a", [1, 2]), (make_collection(), "b/c/d", 1), (make_collection(), "a/0", 1), ], "test_default": [ (make_collection(), "f", "abc"), (make_collection(), "a/4", "abc"), (make_collection(), "b/c/e", "abc"), ], "test_raise_keyNotFoundError": [ (make_collection(), "f", None), (make_collection(), "a/4", None), (make_collection(), "b/c/e", None), ], "test_pass_success": [ (make_collection(), "f", ("abc", False)), (make_collection(), "a/4", ("abc", False)), (make_collection(), "b/c/e", ("abc", False)), (make_collection(), "a", ([1, 2], True)), (make_collection(), "a/0", (1, True)), (make_collection(), "b/c/d", (1, True)), ], "test_raise_keyNotFoundError_pass_success": [ (make_collection(), "f", None), (make_collection(), "a/4", None), (make_collection(), "b/c/e", None), ], "test_pass_sucess_default": [ (make_collection(), "a", ([1, 2], True)), (make_collection(), "a/0", (1, True)), (make_collection(), "b/c/d", (1, True)), ], } def test_pop_keypath(self, collection, key, expected_value): popped_value = util.pop_keypath(collection, key) assert expected_value == popped_value def test_default(self, collection, key, expected_value): popped_value = util.pop_keypath(collection, key, default="abc") assert expected_value == popped_value def test_raise_keyNotFoundError(self, collection, key, expected_value): with pytest.raises(KeyNotFoundError) as exc_info: util.pop_keypath(collection, key) def test_pass_success(self, collection, key, expected_value): popped_value = util.pop_keypath( collection, key, default="abc", pass_success=True ) assert expected_value == popped_value def test_raise_keyNotFoundError_pass_success(self, collection, key, expected_value): with pytest.raises(KeyNotFoundError) as exc_info: util.pop_keypath(collection, key, pass_success=True) def test_pass_sucess_default(self, collection, key, expected_value): popped_value = util.pop_keypath( collection, key, default="abc", pass_success=True ) assert expected_value == popped_value def test_keyNotFoundError(): with pytest.raises(KeyNotFoundError) as exc_info: raise KeyNotFoundError("test") with pytest.raises(KeyNotFoundError) as exc_info: try: a = {"a": "b"} a.pop("c") except (KeyError, IndexError) as e: raise KeyNotFoundError(e) def test_set_value_fail(): with pytest.raises(Exception): dol = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2}} set_value(dol, "a/g", 3) # should raise def test_set_value(): dol = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2}} ref = {"a": [3, 2], "b": {"c": {"d": 1}, "e": 2}} set_value(dol, "a/0", 3) assert dol == ref ref = {"a": [3, 2], "b": {"c": {"d": 1}, "e": 3}} set_value(dol, "b/e", 3) assert dol == ref set_value(dol, "a/1/f", 3) ref = {"a": [3, {"f": 3}], "b": {"c": {"d": 1}, "e": 3}} assert dol == ref def test_append_to_list(): dol = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2}} set_value(dol, "a/2", 3) ref = {"a": [1, 2, 3], "b": {"c": {"d": 1}, "e": 2}} assert dol == ref set_value(dol, "a/5", 6) ref = {"a": [1, 2, 3, None, None, 6], "b": {"c": {"d": 1}, "e": 2}} assert dol == ref def test_add_key(): dol = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2}} set_value(dol, "f", 3) ref = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2}, "f": 3} assert dol == ref set_value(dol, "b/1", 3) ref = {"a": [1, 2], "b": {"c": {"d": 1}, "e": 2, 1: 3}, "f": 3} assert dol == ref def test_fancy_overwriting(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} set_value(dol, "e/f", 3) ref = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": {"f": 3}} assert ref == dol set_value(dol, "e/f/1/g", 3) ref = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": {"f": [None, {"g": 3}]}} assert ref == dol def test_top_is_dict(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} set_value(dol, "h", 4) ref = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2, "h": 4} assert ref == dol set_value(dol, "i/j/k", 4) ref = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2, "h": 4, "i": {"j": {"k": 4}}} assert ref == dol set_value(dol, "j/0/k", 4) ref = { "a": [1, 2], "b": {"c": {"d": 1}}, "e": 2, "h": 4, "i": {"j": {"k": 4}}, "j": [{"k": 4}], } assert ref == dol def test_top_is_list(): dol = [{"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2}, 2, 3] set_value(dol, "0/k", 4) ref = [{"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2, "k": 4}, 2, 3] assert ref == dol set_value(dol, "0", 1) ref = [1, 2, 3] assert ref == dol # ==================== retrieve ================== def test_retrieve(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} val = retrieve(dol, "a") ref = [1, 2] assert val == ref val = retrieve(dol, "a/0") ref = 1 assert val == ref val = retrieve(dol, "b/c/d") ref = 1 assert val == ref def test_retrieve_default(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = "abc" val = retrieve(dol, "f", default="abc") assert val == ref val = retrieve(dol, "a/4", default="abc") assert val == ref val = retrieve(dol, "b/c/e", default="abc") assert val == ref def test_retrieve_fail(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} with pytest.raises(Exception): val = retrieve(dol, "f") with pytest.raises(Exception): val = retrieve(dol, "a/4") with pytest.raises(Exception): val = retrieve(dol, "b/c/e") def test_retrieve_pass_success(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = "abc", False val = retrieve(dol, "f", default="abc", pass_success=True) assert val == ref val = retrieve(dol, "a/4", default="abc", pass_success=True) assert val == ref val = retrieve(dol, "b/c/e", default="abc", pass_success=True) assert val == ref ref = [1, 2], True val = retrieve(dol, "a", default="abc", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "a/0", default="abc", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", default="abc", pass_success=True) assert val == ref def test_retrieve_pass_success_fail(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} with pytest.raises(Exception): retrieve(dol, "f", pass_success=True) with pytest.raises(Exception): retrieve(dol, "a/4", pass_success=True) with pytest.raises(Exception): retrieve(dol, "b/c/e", pass_success=True) ref = [1, 2], True val = retrieve(dol, "a", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "a/0", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", pass_success=True) assert val == ref # -------------------- retrieve with expand=False ------------------ def test_retrieve_ef(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} val = retrieve(dol, "a", expand=False) ref = [1, 2] assert val == ref val = retrieve(dol, "a/0", expand=False) ref = 1 assert val == ref val = retrieve(dol, "b/c/d", expand=False) ref = 1 assert val == ref def test_retrieve_default_ef(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = "abc" val = retrieve(dol, "f", default="abc", expand=False) assert val == ref val = retrieve(dol, "a/4", default="abc", expand=False) assert val == ref val = retrieve(dol, "b/c/e", default="abc", expand=False) assert val == ref def test_retrieve_fail_ef(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} with pytest.raises(Exception): val = retrieve(dol, "f", expand=False) with pytest.raises(Exception): val = retrieve(dol, "a/4", expand=False) with pytest.raises(Exception): val = retrieve(dol, "b/c/e", expand=False) def test_retrieve_pass_success_ef(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = "abc", False val = retrieve(dol, "f", default="abc", pass_success=True, expand=False) assert val == ref val = retrieve(dol, "a/4", default="abc", pass_success=True, expand=False) assert val == ref val = retrieve(dol, "b/c/e", default="abc", pass_success=True, expand=False) assert val == ref ref = [1, 2], True val = retrieve(dol, "a", default="abc", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "a/0", default="abc", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", default="abc", pass_success=True, expand=False) assert val == ref def test_retrieve_pass_success_fail_ef(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} with pytest.raises(Exception): retrieve(dol, "f", pass_success=True, expand=False) with pytest.raises(Exception): retrieve(dol, "a/4", pass_success=True, expand=False) with pytest.raises(Exception): retrieve(dol, "b/c/e", pass_success=True, expand=False) ref = [1, 2], True val = retrieve(dol, "a", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "a/0", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", pass_success=True, expand=False) assert val == ref # -------------------- retrieve with callable leaves ------------------ def nested_leave(): return {"d": 1} def callable_leave(): return {"c": nested_leave} def test_retrieve_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} val = retrieve(dol, "a") ref = [1, 2] assert val == ref val = retrieve(dol, "a/0") ref = 1 assert val == ref val = retrieve(dol, "b/c/d") ref = 1 assert val == ref # test in-place modification ref_dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} assert dol == ref_dol def test_retrieve_default_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} ref = "abc" val = retrieve(dol, "f", default="abc") assert val == ref val = retrieve(dol, "a/4", default="abc") assert val == ref val = retrieve(dol, "b/c/e", default="abc") assert val == ref def test_retrieve_fail_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} with pytest.raises(Exception): val = retrieve(dol, "f") with pytest.raises(Exception): val = retrieve(dol, "a/4") with pytest.raises(Exception): val = retrieve(dol, "b/c/e") def test_retrieve_pass_success_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} ref = "abc", False val = retrieve(dol, "f", default="abc", pass_success=True) assert val == ref val = retrieve(dol, "a/4", default="abc", pass_success=True) assert val == ref val = retrieve(dol, "b/c/e", default="abc", pass_success=True) assert val == ref ref = [1, 2], True val = retrieve(dol, "a", default="abc", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "a/0", default="abc", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", default="abc", pass_success=True) assert val == ref def test_retrieve_pass_success_fail_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} with pytest.raises(Exception): retrieve(dol, "f", pass_success=True) with pytest.raises(Exception): retrieve(dol, "a/4", pass_success=True) with pytest.raises(Exception): retrieve(dol, "b/c/e", pass_success=True) ref = [1, 2], True val = retrieve(dol, "a", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "a/0", pass_success=True) assert val == ref ref = 1, True val = retrieve(dol, "b/c/d", pass_success=True) assert val == ref # -------------------- retrieve with callable and expand=False ------------------ def test_retrieve_ef_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} val = retrieve(dol, "a", expand=False) ref = [1, 2] assert val == ref val = retrieve(dol, "a/0", expand=False) ref = 1 assert val == ref with pytest.raises(Exception): val = retrieve(dol, "b/c/d", expand=False) def test_retrieve_default_ef_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} ref = "abc" val = retrieve(dol, "f", default="abc", expand=False) assert val == ref val = retrieve(dol, "a/4", default="abc", expand=False) assert val == ref val = retrieve(dol, "b/c/e", default="abc", expand=False) assert val == ref def test_retrieve_fail_ef_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} with pytest.raises(Exception): val = retrieve(dol, "f", expand=False) with pytest.raises(Exception): val = retrieve(dol, "a/4", expand=False) with pytest.raises(Exception): val = retrieve(dol, "b/c/e", expand=False) def test_retrieve_pass_success_ef_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} ref = "abc", False val = retrieve(dol, "f", default="abc", pass_success=True, expand=False) assert val == ref val = retrieve(dol, "a/4", default="abc", pass_success=True, expand=False) assert val == ref val = retrieve(dol, "b/c/e", default="abc", pass_success=True, expand=False) assert val == ref ref = [1, 2], True val = retrieve(dol, "a", default="abc", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "a/0", default="abc", pass_success=True, expand=False) assert val == ref ref = "abc", False val = retrieve(dol, "b/c/d", default="abc", pass_success=True, expand=False) assert val == ref def test_retrieve_pass_success_fail_ef_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} with pytest.raises(Exception): retrieve(dol, "f", pass_success=True, expand=False) with pytest.raises(Exception): retrieve(dol, "a/4", pass_success=True, expand=False) with pytest.raises(Exception): retrieve(dol, "b/c/e", pass_success=True, expand=False) ref = [1, 2], True val = retrieve(dol, "a", pass_success=True, expand=False) assert val == ref ref = 1, True val = retrieve(dol, "a/0", pass_success=True, expand=False) assert val == ref with pytest.raises(Exception): val = retrieve(dol, "b/c/d", pass_success=True, expand=False) def failing_leave(): raise Exception() return {"c": nested_leave} class CustomException(Exception): pass def custom_leave(): raise CustomException() return {"c": nested_leave} def test_retrieve_propagates_exception(): dol = {"a": [1, 2], "b": failing_leave, "e": 2} with pytest.raises(Exception): val = retrieve(dol, "b/c/d", default=0) dol = {"a": [1, 2], "b": custom_leave, "e": 2} with pytest.raises(CustomException): val = retrieve(dol, "b/c/d", default=0) def test_retrieve_callable_leaves(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} val = retrieve(dol, "b") # make sure expansion is returned assert val == callable_leave() # make sure expansion was done in-place assert dol["b"] == callable_leave() dol = {"a": [1, 2], "b": callable_leave, "e": 2} val = retrieve(dol, "b/c") # make sure expansion is returned assert val == nested_leave() # make sure expansion was done in-place assert dol["b"]["c"] == nested_leave() dol = {"a": [1, 2], "b": callable_leave, "e": 2} val = retrieve(dol, "b/c/d") assert val == 1 # ====================== walk ==================== def test_walk(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = {"a": [-1, -2], "b": {"c": {"d": -1}}, "e": -2} def fn(leaf): return -leaf val = walk(dol, fn) assert val == ref def test_walk_inplace(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = {"a": [-1, -2], "b": {"c": {"d": -1}}, "e": -2} def fn(leaf): return -leaf walk(dol, fn, inplace=True) assert dol == ref def test_walk_pass_key(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = {"a": [-1, -2], "b": {"c": {"d": -1}}, "e": -2} def fn(key, leaf): return -leaf val = walk(dol, fn, pass_key=True) assert val == ref def test_walk_pass_key_inplace(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = {"a": [-1, -2], "b": {"c": {"d": -1}}, "e": -2} def fn(key, leaf): return -leaf walk(dol, fn, inplace=True, pass_key=True) assert dol == ref # =================== set_default ================ def test_set_default_key_contained(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} ref = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} val = set_default(dol, "a", "new") assert dol == ref assert val == [1, 2] def test_set_default_key_not_contained(): dol = {"b": {"c": {"d": 1}}, "e": 2} ref = {"a": "new", "b": {"c": {"d": 1}}, "e": 2} val = set_default(dol, "a", "new") assert dol == ref assert val == "new" # =================== set_default ================ def test_contains_key(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} assert contains_key(dol, "a") assert contains_key(dol, "b/c/d") assert not contains_key(dol, "b/c/f") assert not contains_key(dol, "f") def test_contains_key_callable(): dol = {"a": [1, 2], "b": callable_leave, "e": 2} assert contains_key(dol, "a", expand=True) dol = {"a": [1, 2], "b": callable_leave, "e": 2} # reset assert contains_key(dol, "a", expand=False) assert contains_key(dol, "b/c/d", expand=True) assert contains_key(dol, "b/c/d", expand=False) # now its expanded dol = {"a": [1, 2], "b": callable_leave, "e": 2} # reset assert not contains_key(dol, "b/c/d", expand=False) assert not contains_key(dol, "b/c/f", expand=True) dol = {"a": [1, 2], "b": callable_leave, "e": 2} # reset assert not contains_key(dol, "b/c/f", expand=False) assert not contains_key(dol, "f", expand=True) dol = {"a": [1, 2], "b": callable_leave, "e": 2} # reset assert not contains_key(dol, "f", expand=False) # ================== leaf names ================== def test_get_leaf_name(): dol = {"a": [1, 2], "b": {"c": {"d": 1}}, "e": 2} names = sorted(get_leaf_names(dol)) ref = sorted(["a/0", "a/1", "b/c/d", "e"]) assert names == ref

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null

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7

f6f1715210211ba1b5391df6762cd3fcc2823895

5,115

py

Python

coleta/riotApi.py

LucianoBatista/league_clustering

d2a5f54f69335822b9ca777fb44eb278b84082a3

[ "Apache-2.0" ]

6

2020-04-19T01:27:56.000Z

2020-05-02T02:05:23.000Z

coleta/riotApi.py

LucianoBatista/league_clustering

d2a5f54f69335822b9ca777fb44eb278b84082a3

[ "Apache-2.0" ]

null

coleta/riotApi.py

LucianoBatista/league_clustering

d2a5f54f69335822b9ca777fb44eb278b84082a3

[ "Apache-2.0" ]

null

import RiotConsts as consts import requests class GetSummoner(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_summoner'].format( region=self.region, url=api_url, ), params=args ) # print(response.url) return response.json() def get_summoner_by_name(self, var): api_url = consts.URL['summoner_by_name'].format( version=consts.API_VERSIONS['summoner'], vars=var ) return self._request(api_url) class Getmatchlist(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_matchlist'].format( region=self.region, url=api_url ), params=args ) # print(response.url) return response.json() def get_summoner_account(self, var): api_url = consts.URL['match_list'].format( version=consts.API_VERSIONS['summoner'], vars=var ) return self._request(api_url) class GetmatchStats(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_match'].format( region=self.region, url=api_url ), params=args ) # print(response.url) return response.json() def get_match_stats(self, var): api_url = consts.URL['match_stats'].format( version=consts.API_VERSIONS['summoner'], vars=var ) return self._request(api_url) class GetmatchPerChamp(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_matchPerChamp'].format( region=self.region, url=api_url ), params=args ) # print(response.url) return response.json() def get_summoner_accountPerChamp(self, var, champ): api_url = consts.URL['matchPerChamp'].format( version=consts.API_VERSIONS['summoner'], vars=var, champion=champ ) return self._request(api_url) class GetmatchPerqueue(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_matchPerqueue'].format( region=self.region, url=api_url ), params=args ) # print(response.url) return response.json() def get_summoner_accountPerqueue(self, var, queue): api_url = consts.URL['matchPerqueue'].format( version=consts.API_VERSIONS['summoner'], vars=var, queue=queue ) return self._request(api_url) class GetTierbysummoner(object): def __init__(self, api_key, region=consts.REGION['brazil']): self.api_key = api_key self.region = region def _request(self, api_url, params={}): args = {'api_key': self.api_key} for key, value in params.items(): if key not in args: args[key] = value response = requests.get( consts.URL['base_tier'].format( region=self.region, url=api_url ), params=args ) # print(response.url) return response.json() def get_summonerTier_by_id(self, var): api_url = consts.URL['tier'].format( version=consts.API_VERSIONS['summoner'], vars=var ) return self._request(api_url)

28.898305

64

0.545455

570

5,115

4.684211

0.103509

0.067416

0.07191

0.858052

0.820599

0.800375

0.766667

0

0.346432

5,115

176

65

29.0625

0.798684

0.023265

0

0.711268

0

0.055121

0

1

0.126761

false

0

0.014085

0

0.267606

0

null

0

1

0

1

0

null

0

7

10090c34b1b434c64f944dc4806dd8e09c58ebca

33,378

py

Python

genemethods/assemblypipeline/reporter.py

OLC-LOC-Bioinformatics/genemethods

cc47e5a18b6704b253975fae4fa8761d9836bee2

[ "MIT" ]

1

2020-01-15T18:41:21.000Z

genemethods/assemblypipeline/reporter.py

OLC-LOC-Bioinformatics/genemethods

cc47e5a18b6704b253975fae4fa8761d9836bee2

[ "MIT" ]

null

genemethods/assemblypipeline/reporter.py

OLC-LOC-Bioinformatics/genemethods

cc47e5a18b6704b253975fae4fa8761d9836bee2

[ "MIT" ]

null

#!/usr/bin/env python3 from olctools.accessoryFunctions.accessoryFunctions import GenObject from datetime import datetime import logging import os __author__ = 'adamkoziol' class Reporter(object): def metadata_reporter(self): """ Creates the metadata report by pulling specific attributes from the metadata objects """ logging.info('Creating summary report') header = '{}\n'.format(','.join(self.headers)) # Create a string to store all the results data = str() for sample in self.metadata: # Add the value of the appropriate attribute to the results string data += GenObject.returnattr(sample, 'name') # SampleName data += GenObject.returnattr(sample.run, 'SamplePlate') # Genus data += GenObject.returnattr(sample.general, 'closestrefseqgenus') # SamplePurity data += GenObject.returnattr(sample.confindr, 'num_contaminated_snvs') # N50 n50 = GenObject.returnattr(sample.quast, 'N50', number=True) if n50 != '-,': data += n50 else: data += '0,' # NumContigs data += GenObject.returnattr(sample.quast, 'num_contigs', number=True) # TotalLength data += GenObject.returnattr(sample.quast, 'Total_length', number=True) # MeanInsertSize data += GenObject.returnattr(sample.quast, 'mean_insert', number=True) # InsertSizeSTD data += GenObject.returnattr(sample.quast, 'std_insert', number=True) # AverageCoverageDepth data += GenObject.returnattr(sample.qualimap, 'MeanCoveragedata', number=True) # CoverageDepthSTD data += GenObject.returnattr(sample.qualimap, 'StdCoveragedata', number=True) # PercentGC data += GenObject.returnattr(sample.quast, 'GC', number=True) # MASH_ReferenceGenome data += GenObject.returnattr(sample.mash, 'closestrefseq') # MASH_NumMatchingHashes data += GenObject.returnattr(sample.mash, 'nummatches') # 16S_result data += GenObject.returnattr(sample.sixteens_full, 'sixteens_match') # CoreGenesPresent data += GenObject.returnattr(sample.gdcs, 'coreresults') # rMLST_Result try: # If the number of matches to the closest reference profile is 53, return the profile number if sample.rmlst.matches == 53: if type(sample.rmlst.sequencetype) is list: rmlst_seq_type = ';'.join(sorted(sample.rmlst.sequencetype)).rstrip(';') + ',' else: rmlst_seq_type = GenObject.returnattr(sample.rmlst, 'sequencetype') rmlst_seq_type = rmlst_seq_type if rmlst_seq_type != 'ND,' else 'new,' data += rmlst_seq_type else: # Otherwise the profile is set to new data += 'new,' except AttributeError: data += 'new,' # MLST_Result try: if sample.mlst.matches == 7: if type(sample.mlst.sequencetype) is list: mlst_seq_type = ';'.join(sorted(sample.mlst.sequencetype)).rstrip(';') + ',' else: mlst_seq_type = GenObject.returnattr(sample.mlst, 'sequencetype') mlst_seq_type = mlst_seq_type if mlst_seq_type != 'ND,' else 'new,' data += mlst_seq_type else: data += 'new,' except AttributeError: data += 'new,' # MLST_gene_X_alleles try: # Create a set of all the genes present in the results (gene name split from allele) gene_set = {gene.split('_')[0] for gene in sample.mlst.combined_metadata_results} for gene in sorted(gene_set): allele_list = list() # Determine all the alleles that are present for each gene for allele in sample.mlst.combined_metadata_results: if gene in allele: allele_list.append(allele.replace(' ', '_')) # If there is more than one allele in the sample, add both to the string separated by a ';' if len(allele_list) > 1: data += '{},'.format(';'.join(allele_list)) # Otherwise add the only allele else: data += allele_list[0] + ',' # If there are fewer than seven matching alleles, add a ND for each missing result if len(gene_set) < 7: data += (7 - len(gene_set)) * 'ND,' except AttributeError: # data += '-,-,-,-,-,-,-,' data += 'ND,ND,ND,ND,ND,ND,ND,' # E_coli_Serotype try: # If no O-type was found, set the output to be O-untypeable if ';'.join(sample.ectyper.o_type) == '-': otype = 'O-untypeable' else: otype = sample.ectyper.o_type # Same as above for the H-type if ';'.join(sample.ectyper.h_type) == '-': htype = 'H-untypeable' else: htype = sample.ectyper.h_type serotype = '{otype}:{htype},'.format(otype=otype, htype=htype) # Add the serotype to the data string unless neither O-type not H-type were found; add ND instead data += serotype if serotype != 'O-untypeable:H-untypeable,' else 'ND,' except AttributeError: data += 'ND,' # SISTR_serovar_antigen data += GenObject.returnattr(sample.sistr, 'serovar_antigen').rstrip(';') # SISTR_serovar_cgMLST data += GenObject.returnattr(sample.sistr, 'serovar_cgmlst') # SISTR_serogroup data += GenObject.returnattr(sample.sistr, 'serogroup') # SISTR_h1 data += GenObject.returnattr(sample.sistr, 'h1').rstrip(';') # SISTR_h2 data += GenObject.returnattr(sample.sistr, 'h2').rstrip(';') # SISTR_serovar data += GenObject.returnattr(sample.sistr, 'serovar') # GeneSeekr_Profile try: if sample.genesippr.report_output: data += ';'.join(sample.genesippr.report_output) + ',' else: data += 'ND,' except AttributeError: data += 'ND,' # Vtyper_Profile data += GenObject.returnattr(sample.verotoxin, 'verotoxin_subtypes_set') # AMR_Profile and resistant/sensitive status if sample.resfinder_assembled.pipelineresults: # Profile for resistance, resistance_set in sorted(sample.resfinder_assembled.pipelineresults.items()): data += '{res}({r_set});'.format(res=resistance.replace(',', ';'), r_set=';'.join(sorted(list(resistance_set)))) data += ',' # Resistant/Sensitive data += 'Resistant,' else: # Profile data += 'ND,' # Resistant/Sensitive data += 'Sensitive,' # Plasmid Result' if sample.mobrecon.pipelineresults: for plasmid, details in sorted(sample.mobrecon.pipelineresults.items()): data += '{plasmid}({details});'.format(plasmid=plasmid, details=details) data += ',' else: data += 'ND,' # TotalPredictedGenes data += GenObject.returnattr(sample.prodigal, 'predictedgenestotal', number=True) # PredictedGenesOver3000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover3000bp', number=True) # PredictedGenesOver1000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover1000bp', number=True) # PredictedGenesOver500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover500bp', number=True) # PredictedGenesUnder500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesunder500bp', number=True) # AssemblyDate data += datetime.now().strftime('%Y-%m-%d') + ',' # PipelineVersion data += self.commit + ',' # Name of the database used in the analyses data += os.path.split(self.reffilepath)[-1] + ',' # Database download date data += self.download_date # Append a new line to the end of the results for this sample data += '\n' # Replace any NA values with ND cleandata = data.replace('NA', 'ND') with open(os.path.join(self.reportpath, 'combinedMetadata.csv'), 'w') as metadatareport: metadatareport.write(header) metadatareport.write(cleandata) def legacy_reporter(self): """ Creates an output that is compatible with the strain database. This method will be removed once a new database scheme is implemented """ logging.info('Creating database-friendly summary report') header = '{}\n'.format(','.join(self.legacy_headers)) # Create a string to store all the results data = str() for sample in self.metadata: # Add the value of the appropriate attribute to the results string data += GenObject.returnattr(sample, 'name') # SampleName data += GenObject.returnattr(sample.run, 'SamplePlate') # Genus data += GenObject.returnattr(sample.general, 'closestrefseqgenus') # SequencingDate data += GenObject.returnattr(sample.run, 'Date') # Analyst data += GenObject.returnattr(sample.run, 'InvestigatorName') # Legacy ConFindr clean/contaminated call data += 'ND,' # N50 n50 = GenObject.returnattr(sample.quast, 'N50', number=True) if n50 != '-,': data += n50 else: data += '0,' # NumContigs data += GenObject.returnattr(sample.quast, 'num_contigs', number=True) # TotalLength data += GenObject.returnattr(sample.quast, 'Total_length', number=True) # MeanInsertSize data += GenObject.returnattr(sample.quast, 'mean_insert', number=True) # InsertSizeSTD data += GenObject.returnattr(sample.quast, 'std_insert', number=True) # AverageCoverageDepth data += GenObject.returnattr(sample.qualimap, 'MeanCoveragedata', number=True) # CoverageDepthSTD data += GenObject.returnattr(sample.qualimap, 'StdCoveragedata', number=True) # PercentGC data += GenObject.returnattr(sample.quast, 'GC', number=True) # MASH_ReferenceGenome data += GenObject.returnattr(sample.mash, 'closestrefseq') # MASH_NumMatchingHashes data += GenObject.returnattr(sample.mash, 'nummatches') # 16S_result data += GenObject.returnattr(sample.sixteens_full, 'sixteens_match') # rMLST_Result try: # If the number of matches to the closest reference profile is 53, return the profile number if sample.rmlst.matches == 53: if type(sample.rmlst.sequencetype) is list: rmlst_seq_type = ';'.join(sorted(sample.rmlst.sequencetype)).rstrip(';') + ',' else: rmlst_seq_type = GenObject.returnattr(sample.rmlst, 'sequencetype') rmlst_seq_type = rmlst_seq_type if rmlst_seq_type != 'ND,' else 'new,' data += rmlst_seq_type else: # Otherwise the profile is set to new data += 'new,' except AttributeError: data += 'new,' # MLST_Result try: if sample.mlst.matches == 7: if type(sample.mlst.sequencetype) is list: mlst_seq_type = ';'.join(sorted(sample.mlst.sequencetype)).rstrip(';') + ',' else: mlst_seq_type = GenObject.returnattr(sample.mlst, 'sequencetype') mlst_seq_type = mlst_seq_type if mlst_seq_type != 'ND,' else 'new,' data += mlst_seq_type else: data += 'new,' except AttributeError: data += 'new,' # MLST_gene_X_alleles try: # Create a set of all the genes present in the results (gene name split from allele) gene_set = {gene.split('_')[0] for gene in sample.mlst.combined_metadata_results} for gene in sorted(gene_set): allele_list = list() # Determine all the alleles that are present for each gene for allele in sample.mlst.combined_metadata_results: if gene in allele: allele_list.append(allele.replace(' ', '_')) # If there is more than one allele in the sample, add both to the string separated by a ';' if len(allele_list) > 1: data += '{},'.format(';'.join(allele_list)) # Otherwise add the only allele else: data += allele_list[0] + ',' # If there are fewer than seven matching alleles, add a ND for each missing result if len(gene_set) < 7: data += (7 - len(gene_set)) * 'ND,' except AttributeError: # data += '-,-,-,-,-,-,-,' data += 'ND,ND,ND,ND,ND,ND,ND,' # CoreGenesPresent data += GenObject.returnattr(sample.gdcs, 'coreresults') # E_coli_Serotype try: # If no O-type was found, set the output to be O-untypeable if ';'.join(sample.ectyper.o_type) == '-': otype = 'O-untypeable' else: otype = sample.ectyper.o_type # Same as above for the H-type if ';'.join(sample.ectyper.h_type) == '-': htype = 'H-untypeable' else: htype = sample.ectyper.h_type serotype = '{otype}:{htype},'.format(otype=otype, htype=htype) # Add the serotype to the data string unless neither O-type not H-type were found; add ND instead data += serotype if serotype != 'O-untypeable:H-untypeable,' else 'ND,' except AttributeError: data += 'ND,' # SISTR_serovar_antigen data += GenObject.returnattr(sample.sistr, 'serovar_antigen').rstrip(';') # SISTR_serovar_cgMLST data += GenObject.returnattr(sample.sistr, 'serovar_cgmlst') # SISTR_serogroup data += GenObject.returnattr(sample.sistr, 'serogroup') # SISTR_h1 data += GenObject.returnattr(sample.sistr, 'h1').rstrip(';') # SISTR_h2 data += GenObject.returnattr(sample.sistr, 'h2').rstrip(';') # SISTR_serovar data += GenObject.returnattr(sample.sistr, 'serovar') # GeneSeekr_Profile try: if sample.genesippr.report_output: data += ';'.join(sample.genesippr.report_output) + ',' else: data += 'ND,' except AttributeError: data += 'ND,' # Vtyper_Profile data += GenObject.returnattr(sample.verotoxin, 'verotoxin_subtypes_set') # AMR_Profile and resistant/sensitive status if sample.resfinder_assembled.pipelineresults: # Profile for resistance, resistance_set in sorted(sample.resfinder_assembled.pipelineresults.items()): data += '{res}({r_set});'.format(res=resistance.replace(',', ';'), r_set=';'.join(sorted(list(resistance_set)))) data += ',' # Resistant/Sensitive data += 'Resistant,' else: # Profile data += 'ND,' # Resistant/Sensitive data += 'Sensitive,' # Plasmid Result' if sample.mobrecon.pipelineresults: for plasmid, details in sorted(sample.mobrecon.pipelineresults.items()): data += '{plasmid}({details});'.format(plasmid=plasmid, details=details) data += ',' else: data += 'ND,' # TotalPredictedGenes data += GenObject.returnattr(sample.prodigal, 'predictedgenestotal', number=True) # PredictedGenesOver3000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover3000bp', number=True) # PredictedGenesOver1000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover1000bp', number=True) # PredictedGenesOver500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover500bp', number=True) # PredictedGenesUnder500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesunder500bp', number=True) # NumClustersPF data += GenObject.returnattr(sample.run, 'NumberofClustersPF') # Percentage of reads mapping to PhiX control data += GenObject.returnattr(sample.run, 'phix_aligned') # Error rate calculated from PhiX control data += GenObject.returnattr(sample.run, 'error_rate') # LengthForwardRead data += GenObject.returnattr(sample.run, 'forwardlength', number=True) # LengthReverseRead data += GenObject.returnattr(sample.run, 'reverselength', number=True) # Real time strain data += GenObject.returnattr(sample.run, 'Description') # Flowcell data += GenObject.returnattr(sample.run, 'flowcell') # MachineName data += GenObject.returnattr(sample.run, 'instrument') # PipelineVersion data += self.commit + ',' # AssemblyDate data += datetime.now().strftime('%Y-%m-%d') + ',' # SamplePurity data += GenObject.returnattr(sample.confindr, 'num_contaminated_snvs') # cgMLST try: if type(sample.cgmlst.sequencetype) is list: if sample.cgmlst.sequencetype: cgmlst_seq_type = ';'.join(sorted(sample.cgmlst.sequencetype)).rstrip(';') + ',' else: cgmlst_seq_type = 'ND,' else: cgmlst_seq_type = GenObject.returnattr(sample.cgmlst, 'sequencetype') # cgmlst_seq_type = cgmlst_seq_type if cgmlst_seq_type != 'ND,' else 'new,' data += cgmlst_seq_type except AttributeError: data += 'ND,' # Name of the database used in the analyses data += os.path.split(self.reffilepath)[-1] + ',' # Database download date data += self.download_date # Append a new line to the end of the results for this sample data += '\n' # Replace any NA values with ND cleandata = data.replace('NA', 'ND') with open(os.path.join(self.reportpath, 'legacy_combinedMetadata.csv'), 'w') as metadatareport: metadatareport.write(header) metadatareport.write(cleandata) def clean_object(self): for sample in self.metadata: try: delattr(sample.coregenome, 'targetnames') except AttributeError: pass try: delattr(sample.coregenome, 'targets') except AttributeError: pass def run_quality_reporter(self): logging.info('Creating run quality summary report') run_name = os.path.split(self.path)[-1] data = 'RunName,SequencingDate,Analyst,ClusterDensity,PercentOverQ30,NumberofClustersPF,' \ 'PercentReadsPhiX,ErrorRate, LengthForwardRead,LengthReverseRead,Flowcell,MachineName\n' for sample in self.metadata: # RunName data += '{rn},'.format(rn=run_name) # SequencingDate data += GenObject.returnattr(sample.run, 'Date') # Analyst data += GenObject.returnattr(sample.run, 'InvestigatorName') # ClusterDensity data += GenObject.returnattr(sample.run, 'cluster_density') # Percentage of reads with Q-score over 30 data += GenObject.returnattr(sample.run, 'over_q30') # NumClustersPF data += GenObject.returnattr(sample.run, 'NumberofClustersPF') # Percentage of reads mapping to PhiX control data += GenObject.returnattr(sample.run, 'phix_aligned') # Error rate calculated from PhiX control data += GenObject.returnattr(sample.run, 'error_rate') # LengthForwardRead data += GenObject.returnattr(sample.run, 'forwardlength', number=True) # LengthReverseRead data += GenObject.returnattr(sample.run, 'reverselength', number=True) # Flowcell data += GenObject.returnattr(sample.run, 'flowcell') # MachineName data += GenObject.returnattr(sample.run, 'instrument') break with open(os.path.join(self.reportpath, 'run_metrics_report.csv'), 'w') as run_report: run_report.write(data) def sample_quality_report(self): logging.info('Creating sample quality summary report') header = '{}\n'.format(','.join(self.quality_headers)) # Create a string to store all the results data = str() for sample in self.metadata: # Add the value of the appropriate attribute to the results string data += GenObject.returnattr(sample, 'name') # SampleName data += GenObject.returnattr(sample.run, 'SamplePlate') # Genus data += GenObject.returnattr(sample.general, 'closestrefseqgenus') # SamplePurity data += GenObject.returnattr(sample.confindr, 'num_contaminated_snvs') # N50 n50 = GenObject.returnattr(sample.quast, 'N50', number=True) if n50 != '-,': data += n50 else: data += '0,' # NumContigs data += GenObject.returnattr(sample.quast, 'num_contigs', number=True) # TotalLength data += GenObject.returnattr(sample.quast, 'Total_length', number=True) # MeanInsertSize data += GenObject.returnattr(sample.quast, 'mean_insert', number=True) # InsertSizeSTD data += GenObject.returnattr(sample.quast, 'std_insert', number=True) # AverageCoverageDepth data += GenObject.returnattr(sample.qualimap, 'MeanCoveragedata', number=True) # CoverageDepthSTD data += GenObject.returnattr(sample.qualimap, 'StdCoveragedata', number=True) # PercentGC data += GenObject.returnattr(sample.quast, 'GC', number=True) # MASH_ReferenceGenome data += GenObject.returnattr(sample.mash, 'closestrefseq') # MASH_NumMatchingHashes data += GenObject.returnattr(sample.mash, 'nummatches') # rMLST_Result try: # If the number of matches to the closest reference profile is 53, return the profile number if sample.rmlst.matches == 53: if type(sample.rmlst.sequencetype) is list: rmlst_seq_type = ';'.join(sorted(sample.rmlst.sequencetype)).rstrip(';') + ',' else: rmlst_seq_type = GenObject.returnattr(sample.rmlst, 'sequencetype') rmlst_seq_type = rmlst_seq_type if rmlst_seq_type != 'ND,' else 'new,' data += rmlst_seq_type else: # Otherwise the profile is set to new data += 'new,' except AttributeError: data += 'new,' # TotalPredictedGenes data += GenObject.returnattr(sample.prodigal, 'predictedgenestotal', number=True) # PredictedGenesOver3000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover3000bp', number=True) # PredictedGenesOver1000bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover1000bp', number=True) # PredictedGenesOver500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesover500bp', number=True) # PredictedGenesUnder500bp data += GenObject.returnattr(sample.prodigal, 'predictedgenesunder500bp', number=True) # PipelineVersion data += self.commit + ',' # AssemblyDate data += datetime.now().strftime('%Y-%m-%d') + ',' # Name of the database used in the analyses data += os.path.split(self.reffilepath)[-1] + ',' # Database download date data += self.download_date # Append a new line to the end of the results for this sample data += '\n' # Replace any NA values with ND cleandata = data.replace('NA', 'ND') with open(os.path.join(self.reportpath, 'preliminary_combinedMetadata.csv'), 'w') as metadatareport: metadatareport.write(header) metadatareport.write(cleandata) def __init__(self, inputobject): self.metadata = inputobject.runmetadata.samples self.commit = inputobject.commit self.reportpath = inputobject.reportpath self.starttime = inputobject.starttime self.path = inputobject.path self.reffilepath = inputobject.reffilepath # Define the headers to be used in the metadata report self.quality_headers = [ 'SeqID', 'SampleName', 'Genus', 'ConfindrContamSNVs', 'N50', 'NumContigs', 'TotalLength', 'MeanInsertSize', 'InsertSizeSTD', 'AverageCoverageDepth', 'CoverageDepthSTD', 'PercentGC', 'MASH_ReferenceGenome', 'MASH_NumMatchingHashes', 'rMLST_Result', 'TotalPredictedGenes', 'PredictedGenesOver3000bp', 'PredictedGenesOver1000bp', 'PredictedGenesOver500bp', 'PredictedGenesUnder500bp', 'AssemblyDate', 'PipelineVersion', 'Database', 'DatabaseDownloadDate' ] self.headers = [ 'SeqID', 'SampleName', 'Genus', 'ConfindrContamSNVs', 'N50', 'NumContigs', 'TotalLength', 'MeanInsertSize', 'InsertSizeSTD', 'AverageCoverageDepth', 'CoverageDepthSTD', 'PercentGC', 'MASH_ReferenceGenome', 'MASH_NumMatchingHashes', '16S_result', 'CoreGenesPresent', 'rMLST_Result', 'MLST_Result', 'MLST_gene_1_allele', 'MLST_gene_2_allele', 'MLST_gene_3_allele', 'MLST_gene_4_allele', 'MLST_gene_5_allele', 'MLST_gene_6_allele', 'MLST_gene_7_allele', 'E_coli_Serotype', 'SISTR_serovar_antigen', 'SISTR_serovar_cgMLST', 'SISTR_serogroup', 'SISTR_h1', 'SISTR_h2', 'SISTR_serovar', 'GeneSeekr_Profile', 'Vtyper_Profile', 'AMR_Profile', 'AMR Resistant/Sensitive', 'PlasmidProfile', 'TotalPredictedGenes', 'PredictedGenesOver3000bp', 'PredictedGenesOver1000bp', 'PredictedGenesOver500bp', 'PredictedGenesUnder500bp', 'AssemblyDate', 'PipelineVersion', 'Database', 'DatabaseDownloadDate' ] self.legacy_headers = [ 'SeqID', 'SampleName', 'Genus', 'SequencingDate', 'Analyst', 'SamplePurity', 'N50', 'NumContigs', 'TotalLength', 'MeanInsertSize', 'InsertSizeSTD', 'AverageCoverageDepth', 'CoverageDepthSTD', 'PercentGC', 'MASH_ReferenceGenome', 'MASH_NumMatchingHashes', '16S_result', 'rMLST_Result', 'MLST_Result', 'MLST_gene_1_allele', 'MLST_gene_2_allele', 'MLST_gene_3_allele', 'MLST_gene_4_allele', 'MLST_gene_5_allele', 'MLST_gene_6_allele', 'MLST_gene_7_allele', 'CoreGenesPresent', 'E_coli_Serotype', 'SISTR_serovar_antigen', 'SISTR_serovar_cgMLST', 'SISTR_serogroup', 'SISTR_h1', 'SISTR_h2', 'SISTR_serovar', 'GeneSeekr_Profile', 'Vtyper_Profile', 'AMR_Profile', 'AMR Resistant/Sensitive', 'PlasmidProfile', 'TotalPredictedGenes', 'PredictedGenesOver3000bp', 'PredictedGenesOver1000bp', 'PredictedGenesOver500bp', 'PredictedGenesUnder500bp', 'NumClustersPF', 'PercentReadsPhiX', 'ErrorRate', 'LengthForwardRead', 'LengthReverseRead', 'RealTimeStrain', 'Flowcell', 'MachineName', 'PipelineVersion', 'AssemblyDate', 'ConfindrContamSNVs', 'cgMLST_Result', 'Database', 'DatabaseDownloadDate' ] try: with open(os.path.join(self.reffilepath, 'download_date'), 'r') as download_date: self.download_date = download_date.readline().rstrip() except FileNotFoundError: self.download_date = 'ND'

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null

0

1

0

1

0

null

0

8

63fab79ddb25b88dcb4d967c7d1af9880293d6f3

2,447

py

Python

conformance/tests/ot_count.py

bmeg/grip

60d524f3ced989ea80edbef5565f8de78b03081a

[ "MIT" ]

17

2018-10-25T15:33:51.000Z

2022-03-16T19:07:22.000Z

conformance/tests/ot_count.py

bmeg/grip

60d524f3ced989ea80edbef5565f8de78b03081a

[ "MIT" ]

80

2018-08-28T17:15:31.000Z

2022-01-25T02:01:16.000Z

conformance/tests/ot_count.py

bmeg/arachne

561a6b179eeb18003f774586fffe1b551896c6d2

[ "MIT" ]

5

2017-09-12T05:40:41.000Z

2018-06-29T10:00:39.000Z

def test_count(man): errors = [] G = man.setGraph("swapi") i = list(G.query().V().count()) if len(i) < 1: errors.append("Fail: nothing returned for O.query().V().count()") elif i[0]["count"] != 39: errors.append("Fail: G.query().V().count() %s != %s" % (i[0]["count"], 39)) i = list(G.query().V("non-existent").count()) print(i) if len(i) < 1: errors.append("Fail: nothing returned for O.query().V(\"non-existent\").count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().V(\"non-existent\").count() %s != %s" % (i[0]["count"], 0)) i = list(G.query().E().count()) if len(i) < 1: errors.append("Fail: nothing returned for O.query().E().count()") elif i[0]["count"] != 144: errors.append("Fail: G.query().E().count() %s != %s" % (i[0]["count"], 144)) i = list(G.query().E("non-existent").count()) if len(i) < 1: errors.append("Fail: nothing returned for G.query().E(\"non-existent\").count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().E(\"non-existent\").count() %s != %s" % (i[0]["count"], 0)) return errors # tests an edge case where mongo aggregations fill fail to return a count when # the ccollection doesnt exist def test_count_when_no_data(man): errors = [] G = man.writeTest() i = list(G.query().V().count()) print(i) if len(i) < 1: errors.append("Fail: nothing returned for G.query().V().count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().V().count() %s != %s" % (i[0]["count"], 0)) i = list(G.query().V("non-existent").count()) if len(i) < 1: errors.append("Fail: nothing returned for G.query().V(\"non-existent\").count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().V(\"non-existent\").count() %s != %s" % (i[0]["count"], 0)) i = list(G.query().E().count()) if len(i) < 1: errors.append("Fail: nothing returned for G.query().E().count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().E().count() %s != %s" % (i[0]["count"], 0)) i = list(G.query().E("non-existent").count()) if len(i) < 1: errors.append("Fail: nothing returned for G.query().E(\"non-existent\").count()") elif i[0]["count"] != 0: errors.append("Fail: G.query().E(\"non-existent\").count() %s != %s" % (i[0]["count"], 0)) return errors

35.463768

98

0.534941

374

2,447

3.486631

0.131016

0.096626

0.196319

0.07362

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0.818252

0.799847

0

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2,447

68

99

35.985294

0.64812

0.04291

0

0.68

0

0.347882

0.071887

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1

0.04

false

0

0.08

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0

null

0

1

0

1

0

null

0

7

1251fef0c673d36838a965089f051af4343b2e2c

101

py

Python

plugin/web/__init__.py

lisugar/ray_build_tools

a304c8fc30ce9f61cbdc566d8dc193945f14883d

[ "MIT" ]

null

plugin/web/__init__.py

lisugar/ray_build_tools

a304c8fc30ce9f61cbdc566d8dc193945f14883d

[ "MIT" ]

null

plugin/web/__init__.py

lisugar/ray_build_tools

a304c8fc30ce9f61cbdc566d8dc193945f14883d

[ "MIT" ]

null

from build_tools.plugin.web import executor def get_plugin_class(): return executor.BottlePlugin

25.25

43

0.821782

14

101

5.714286

0.857143

0

0.118812

101

4

44

25.25

0.898876

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

89bff51348703ab9357ca6418f6d58fc9208ac58

195,841

py

Python

tests/api/analytics/endpoints/analytics_tests.py

huang195/iter8-analytics

6d03128ac3fc3f4e9754d41e44baa72f411f29e5

[ "Apache-2.0" ]

null

tests/api/analytics/endpoints/analytics_tests.py

huang195/iter8-analytics

6d03128ac3fc3f4e9754d41e44baa72f411f29e5

[ "Apache-2.0" ]

null

tests/api/analytics/endpoints/analytics_tests.py

huang195/iter8-analytics

6d03128ac3fc3f4e9754d41e44baa72f411f29e5

[ "Apache-2.0" ]

null

"""Tests for the analytics REST API.""" import unittest from unittest.mock import Mock from unittest.mock import patch from requests.models import Response import json from iter8_analytics import app as flask_app from iter8_analytics.api.analytics.endpoints.examples import eip_example from iter8_analytics.api.analytics import responses from iter8_analytics.api.analytics import request_parameters import iter8_analytics.constants as constants from iter8_analytics.api.analytics.successcriteria import StatisticalTests, SuccessCriterion import dateutil.parser as parser from collections import namedtuple import logging import os import requests_mock import requests import re from urllib.parse import urlencode log = logging.getLogger(__name__) class TestAnalyticsNamespaceAPI(unittest.TestCase): @classmethod def setUpClass(cls): """Setup common to all tests.""" # Initialize the Flask app for testing flask_app.app.testing = True flask_app.config_logger() flask_app.initialize(flask_app.app) # Get an internal Flask test client cls.flask_test = flask_app.app.test_client() cls.backend_url = os.getenv(constants.METRICS_BACKEND_URL_ENV) cls.metrics_endpoint = f'{cls.backend_url}/api/v1/query' #cls.metrics_endpoint = f'http://localhost:9090/api/v1/query' log.info('Completed initialization for all analytics REST API tests.') ##All tests after this involve the /analytics/canary/check_and_increment endpoint (until mentioned otherwise) def test_payload_canary_check_and_increment(self): """Tests the REST endpoint /analytics/canary/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no change observed wrt sample size or metric parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 75, "success_criterion_information": [ [0,0]] }, "candidate": { "traffic_percentage": 25, "success_criterion_information": [ [0,0]] } } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = {"baseline":{"traffic_percentage":73.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":27,"success_criterion_information":[[19,19.677]]}} self.assertEqual(resp.status_code, 200, resp.data) self.assertEqual(resp.get_json()["_last_state"], correct_response) ################## # Test request with start_time missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with start_time missing in payload") parameters = { "baseline": { "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Missing start_time parameter') assert b'\'start_time\' is a required property' in resp.data ################## # Test request with success_criteria missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with success_criteria missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Missing success_criteria missing in payload') assert b'\'success_criteria\' is a required property' in resp.data ################### # Test request with baseline missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with baseline missing in payload") parameters = { "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Baseline missing in payload') assert b'\'baseline\' is a required property' in resp.data ################### # Test request with missing value in success_criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with missing value in success_criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 400, 'Missing value in success_criteria') assert b'\'value\' is a required property' in resp.data ################### # Test request with Unknown type in is_counter ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with Unknown type in is_counter") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": "No", "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "normal", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 400, 'Unknown type in is_counter') assert b"\'No\' is not of type \'boolean\'" in resp.data assert b'\'normal\' is not one of [\'delta\', \'threshold\']' in resp.data ################## # Test request with metric type missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with is_counter missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'is_counter missing in payload') assert b'\'is_counter\' is a required property' in resp.data #assert b'\'absent_value\' is a required property' in resp.data ################## # Test request with absent value of type float in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with absent value of type float in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": 0, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'new absent_value type in payload') assert b'0 is not of type \'string\'' in resp.data ################## # Test request with metric_query_template missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'metric_query_template missing in payload') assert b'\'metric_query_template\' is a required property' in resp.data ################## # Test request with metric_sample_size_query_template missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_sample_size_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'metric_query_template missing in payload') assert b'\'metric_sample_size_query_template\' is a required property' in resp.data ################## # Test request threshold crossing in a counter metric ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_sample_size_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 18, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) assert resp.get_json()["assessment"]["summary"]["abort_experiment"] assert not resp.get_json()["assessment"]["summary"]["all_success_criteria_met"] ################## # Test request delta criterion with counter metric ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_sample_size_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.5, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) assert b'Delta criterion cannot be used with counter metric.' in resp.data def test_baseline_failing_success_criteria(self): """Tests the REST endpoint /analytics/canary/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_baseline_failing_response.json"))) ################### # Test request when both candidate and baseline fail success criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when both candidate and baseline fail success criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 2, "stop_on_failure": False }, { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.1, "sample_size": 2, "stop_on_failure": True } ] }, "_last_state": { "baseline": { "traffic_percentage":98.0, "success_criterion_information":[[1,0.0]] }, "candidate": { "traffic_percentage":2, "success_criterion_information":[[1,0.0]] } } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) assert 'The baseline version did not meet success criteria' in resp.get_json()["assessment"]["summary"]["conclusions"] def test_no_data_from_prometheus(self): """Tests the REST endpoint /analytics/canary/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_no_data_response.json"))) ################### # Test request with no data from prometheus- iter8_error_count ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data from prometheus") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data from prometheus- iter8_latency ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data from prometheus") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_latency", "is_counter": False, "absent_value": "None", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /analytics/canary/epsilon_t_greedy endpoint def test_payload_canary_epsilon_t_greedy(self): """Tests the REST endpoint /analytics/canary/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################## # Test request with pre filled last state in payload on iteration 4 ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "end_time": "2019-04-24T20:30:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "end_time": "2019-04-24T20:30:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "max_traffic_percent": 100, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 13, "success_criterion_information": [ [ 1, 2 ] ] }, "candidate": { "traffic_percentage": 87, "success_criterion_information": [ [ 2, 3 ] ] }, "effective_iteration_count": 4 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {"baseline":{"traffic_percentage":10.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":90,"success_criterion_information":[[19,19.677]]},"effective_iteration_count":5} self.assertEqual(resp.get_json()["_last_state"], correct_response) ################## # Test request with pre filled last state in payload on iteration 5- when no change is observed ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 10, "success_criterion_information": [ [21,21.764] ] }, "candidate": { "traffic_percentage": 90, "success_criterion_information": [ [19,19.677] ] }, "effective_iteration_count": 5 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {"baseline":{"traffic_percentage":10.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":90,"success_criterion_information":[[19,19.677]]},"effective_iteration_count":5} self.assertEqual(resp.get_json()["_last_state"], correct_response) # Test request when candidate fails success criteria def test_candidate_failing_success_criteria(self): """Tests the REST endpoint /analytics/canary/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_baseline_failing_response.json"))) ################### # Test request when both candidate and baseline fail success criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when both candidate and baseline fail success criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 1, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 90, "success_criterion_information": [ [1,0.0] ] }, "candidate": { "traffic_percentage": 10, "success_criterion_information": [ [1,0.0] ] }, "effective_iteration_count": 3 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) assert 'The baseline version did not meet success criteria' in resp.get_json()["assessment"]["summary"]["conclusions"] ################### # Test request when candidate fails success criteria because sample size requirements are not met ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when both candidate and baseline fail success criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 10, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 90, "success_criterion_information": [ [1,0.0] ] }, "candidate": { "traffic_percentage": 10, "success_criterion_information": [ [1,0.0] ] }, "effective_iteration_count": 3 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {'baseline': {'traffic_percentage': 90.0, 'success_criterion_information': [[4, 4.0]]}, 'candidate': {'traffic_percentage': 10, 'success_criterion_information': [[5, 5.0]]}, 'effective_iteration_count': 3} self.assertEqual(correct_response, resp.get_json()["_last_state"]) #All tests after this involve the /analytics/canary/posterior_bayesian_routing endpoint def test_payload_canary_posterior_bayesian_routing(self): """Tests the REST endpoint /analytics/canary/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to check for default parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02 } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to with stop on failure=True ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 19, "stop_on_failure": True } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = ["The experiment needs to be aborted", "All success criteria were not met", "Required confidence of 0.95 was not reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) self.assertEqual(resp.status_code, 200, resp.data) def test_payload_canary_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /analytics/canary/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response_br.json"))) ################### # Test request with high sample size for high confidence results ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) ################### # Test request with high sample size for high confidence results + multiple metrics ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False }, { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) #All tests after this involve the /analytics/canary/optimistic_bayesian_routing endpoint def test_payload_canary_optimistic_bayesian_routing(self): """Tests the REST endpoint /analytics/canary/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to check for default parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02 } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to with stop on failure=True ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 19, "stop_on_failure": True } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = ["The experiment needs to be aborted", "All success criteria were not met", "Required confidence of 0.95 was not reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) self.assertEqual(resp.status_code, 200, resp.data) def test_payload_canary_optimistic_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /analytics/canary/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response_br.json"))) ################### # Test request with high sample size for high confidence results ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) log.info(f"{resp.data}") self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) ################### # Test request with high sample size for high confidence results + multiple metrics ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False }, { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) def test_no_data_canary_optimistic_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /analytics/canary/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_no_data_response.json"))) ################### # Test request with no data for obr (first iteration) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data for obr (not first iteration + min-max available) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data for obr (not first iteration + min-max available)") params = namedtuple('params', 'alpha beta gamma sigma') parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "None", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "success_criterion_belief": [params(1, 1, None, None)], "reward_belief": params(None, None, None, None) }, "candidate": { "success_criterion_belief": [params(1, 1, None, None)], "reward_belief": params(None, None, None, None) } } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data for obr (not first iteration + min-max not available) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data for obr (not first iteration + min-max not available)") params = namedtuple('params', 'alpha beta gamma sigma') parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "None", "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "success_criterion_belief": [params(None, None, 0, 1)], "reward_belief": params(None, None, None, None) }, "candidate": { "success_criterion_belief": [params(None, None, 0, 1)], "reward_belief": params(None, None, None, None) } } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ##All tests after this involve the /analytics/canary/check_and_increment endpoint for A/B experiments def test_payload_ab_check_and_increment(self): """Tests the REST endpoint /analytics/ab/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /analytics/canary/epsilon_t_greedy endpoint for A/B experiments def test_payload_ab_epsilon_t_greedy(self): """Tests the REST endpoint /analytics/ab/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /analytics/canary/posterior_bayesian_routing endpoint for A/B experiments def test_payload_ab_posterior_bayesian_routing(self): """Tests the REST endpoint /analytics/ab/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /analytics/canary/optimistic_bayesian_routing endpoint for A/B experiments def test_payload_ab_optimistic_bayesian_routing(self): """Tests the REST endpoint /analytics/ab/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/analytics/canary/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ############################################################# ##The next tests use the Experiment namespace which will be retained after a controller fix ############################################################# ##All tests after this involve the /experiment/check_and_increment endpoint (until mentioned otherwise) def test_payload_experiment_canary_check_and_increment(self): """Tests the REST endpoint /experiment/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/experiment/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no change observed wrt sample size or metric parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no change observed wrt sample size or metric parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 75, "success_criterion_information": [ [0,0]] }, "candidate": { "traffic_percentage": 25, "success_criterion_information": [ [0,0]] } } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = {"baseline":{"traffic_percentage":73.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":27,"success_criterion_information":[[19,19.677]]}} self.assertEqual(resp.status_code, 200, resp.data) self.assertEqual(resp.get_json()["_last_state"], correct_response) ################## # Test request with start_time missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with start_time missing in payload") parameters = { "baseline": { "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Missing start_time parameter') assert b'\'start_time\' is a required property' in resp.data ################## # Test request with success_criteria missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with success_criteria missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Missing success_criteria missing in payload') assert b'\'success_criteria\' is a required property' in resp.data ################### # Test request with baseline missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with baseline missing in payload") parameters = { "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'Baseline missing in payload') assert b'\'baseline\' is a required property' in resp.data ################### # Test request with missing value in success_criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with missing value in success_criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 400, 'Missing value in success_criteria') assert b'\'value\' is a required property' in resp.data ################### # Test request with Unknown type in is_counter ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with Unknown type in is_counter") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": "No", "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "normal", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 400, 'Unknown type in is_counter') assert b"\'No\' is not of type \'boolean\'" in resp.data assert b'\'normal\' is not one of [\'delta\', \'threshold\']' in resp.data ################## # Test request with is_counter missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with is_counter missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'is_counter missing in payload') assert b'\'is_counter\' is a required property' in resp.data #assert b'\'absent_value\' is a required property' in resp.data ################## # Test request with absent value of type float in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with absent value of type float in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": 0, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'new absent_value type in payload') assert b'0 is not of type \'string\'' in resp.data ################## # Test request with metric_query_template missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'metric_query_template missing in payload') assert b'\'metric_query_template\' is a required property' in resp.data ################## # Test request with metric_sample_size_query_template missing in payload ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with metric_sample_size_query_template missing in payload") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) # We should get a BAD REQUEST HTTP error self.assertEqual(resp.status_code, 400, 'metric_query_template missing in payload') assert b'\'metric_sample_size_query_template\' is a required property' in resp.data ################## # Test request threshold crossing in a counter metric ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request threshold crossing in a counter metric") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 18, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) assert resp.get_json()["assessment"]["summary"]["abort_experiment"] assert not resp.get_json()["assessment"]["summary"]["all_success_criteria_met"] ################## # Test request delta criterion with counter metric ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request delta criterion with counter metric") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.5, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) assert b'Delta criterion cannot be used with counter metric.' in resp.data def test_experiment_baseline_failing_success_criteria(self): """Tests the REST endpoint /experiment/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/experiment/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_baseline_failing_response.json"))) ################### # Test request when both candidate and baseline fail success criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when both candidate and baseline fail success criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 2, "stop_on_failure": False }, { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.1, "sample_size": 2, "stop_on_failure": True } ] }, "_last_state": { "baseline": { "traffic_percentage":98.0, "success_criterion_information":[[1,0.0]] }, "candidate": { "traffic_percentage":2, "success_criterion_information":[[1,0.0]] } } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) assert 'The baseline version did not meet success criteria' in resp.get_json()["assessment"]["summary"]["conclusions"] def test_experiment_no_data_from_prometheus(self): """Tests the REST endpoint /experiment/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/experiment/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_no_data_response.json"))) ################### # Test request with no data from prometheus- iter8_error_count ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data from prometheus") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data from prometheus- iter8_latency ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data from prometheus") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_latency", "is_counter": False, "absent_value": "None", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /experiment/epsilon_t_greedy endpoint def test_experiment_payload_canary_epsilon_t_greedy(self): """Tests the REST endpoint /experiment/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/experiment/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################## # Test request with pre filled last state in payload on iteration 4 ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with pre filled last state in payload on iteration 4") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "end_time": "2019-04-24T20:30:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "end_time": "2019-04-24T20:30:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "max_traffic_percent": 100, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 13, "success_criterion_information": [ [ 1, 2 ] ] }, "candidate": { "traffic_percentage": 87, "success_criterion_information": [ [ 2, 3 ] ] }, "effective_iteration_count": 4 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {"baseline":{"traffic_percentage":10.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":90,"success_criterion_information":[[19,19.677]]},"effective_iteration_count":5} self.assertEqual(resp.get_json()["_last_state"], correct_response) ################## # Test request with pre filled last state in payload on iteration 5- when no change is observed ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with pre filled last state in payload on iteration 5- when no change is observed") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 10, "success_criterion_information": [ [21,21.764] ] }, "candidate": { "traffic_percentage": 90, "success_criterion_information": [ [19,19.677] ] }, "effective_iteration_count": 5 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {"baseline":{"traffic_percentage":10.0,"success_criterion_information":[[21,21.764]]},"candidate":{"traffic_percentage":90,"success_criterion_information":[[19,19.677]]},"effective_iteration_count":5} self.assertEqual(resp.get_json()["_last_state"], correct_response) # Test request when candidate fails success criteria def test_experiment_candidate_failing_success_criteria(self): """Tests the REST endpoint /experiment/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/experiment/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_baseline_failing_response.json"))) ################### # Test request when both candidate and baseline fail success criteria ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when both candidate and baseline fail success criteria") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 1, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 90, "success_criterion_information": [ [1,0.0] ] }, "candidate": { "traffic_percentage": 10, "success_criterion_information": [ [1,0.0] ] }, "effective_iteration_count": 3 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) assert 'The baseline version did not meet success criteria' in resp.get_json()["assessment"]["summary"]["conclusions"] ################### # Test request when candidate fails success criteria because sample size requirements are not met ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request when candidate fails success criteria because sample size requirements are not met") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 2, "sample_size": 10, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "traffic_percentage": 90, "success_criterion_information": [ [1,0.0] ] }, "candidate": { "traffic_percentage": 10, "success_criterion_information": [ [1,0.0] ] }, "effective_iteration_count": 3 } } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = {'baseline': {'traffic_percentage': 90.0, 'success_criterion_information': [[4, 4.0]]}, 'candidate': {'traffic_percentage': 10, 'success_criterion_information': [[5, 5.0]]}, 'effective_iteration_count': 3} self.assertEqual(correct_response, resp.get_json()["_last_state"]) #All tests after this involve the /experiment/posterior_bayesian_routing endpoint def test_experiment_payload_canary_posterior_bayesian_routing(self): """Tests the REST endpoint /experiment/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to check for default parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request to check for default parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02 } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to with stop on failure=True ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request to with stop on failure=True") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 19, "stop_on_failure": True } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = ["The experiment needs to be aborted", "All success criteria were not met", "Required confidence of 0.95 was not reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) self.assertEqual(resp.status_code, 200, resp.data) def test_experiment_payload_canary_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /experiment/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response_br.json"))) ################### # Test request with high sample size for high confidence results ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with high sample size for high confidence results") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) ################### # Test request with high sample size for high confidence results + multiple metrics ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with high sample size for high confidence results + multiple metrics") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False }, { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) #All tests after this involve the /experiment/optimistic_bayesian_routing endpoint def test_experiment_payload_canary_optimistic_bayesian_routing(self): """Tests the REST endpoint /experiment/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to check for default parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request to check for default parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02 } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request to with stop on failure=True ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request to with stop on failure=True") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 19, "stop_on_failure": True } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) correct_response = ["The experiment needs to be aborted", "All success criteria were not met", "Required confidence of 0.95 was not reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request payload with no last state and no min max value ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request to with stop on failure=True") params = namedtuple('params', 'alpha beta gamma sigma') m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) parameters = { "name":"reviews-e479be4", "baseline":{"start_time":"2020-03-30T14:33:38Z","end_time":"2020-03-30T14:33:38Z","tags":{"destination_service_namespace":"br","destination_workload":"reviews-509c700"}}, "candidate":{"start_time":"2020-03-30T14:33:38Z","end_time":"2020-03-30T14:33:38Z","tags":{"destination_service_namespace":"br","destination_workload":"reviews-e479be4"}}, "_last_state":{}, "traffic_control":{ "confidence":0.98, "max_traffic_percent":95, "success_criteria":[ { "absent_value":"None", "is_counter":False, "metric_name":"iter8_latency", "metric_query_template":"(sum(increase(istio_request_duration_seconds_sum{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)) / (sum(increase(istio_request_duration_seconds_count{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels))", "metric_sample_size_query_template":"sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "stop_on_failure":False, "type":"threshold", "value":0.2 } ] } } resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) def test_experiment_payload_canary_optimistic_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /experiment/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response_br.json"))) ################### # Test request with high sample size for high confidence results ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with high sample size for high confidence results") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) ################### # Test request with high sample size for high confidence results + multiple metrics ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with high sample size for high confidence results + multiple metrics") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False }, { "metric_name": "iter8_error_count", "is_counter": True, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) correct_response = ["All success criteria were met", "Required confidence of 0.5 was reached"] self.assertEqual(correct_response, resp.get_json()["assessment"]["summary"]["conclusions"]) def test_experiment_no_data_canary_optimistic_bayesian_routing_high_sample_size(self): """Tests the REST endpoint /experiment/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_no_data_response.json"))) ################### # Test request with no data for obr (first iteration) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data for obr (first iteration)") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data for obr (not first iteration + min-max available) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data for obr (not first iteration + min-max available)") params = namedtuple('params', 'alpha beta gamma sigma') parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "None", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "success_criterion_belief": [params(1, 1, None, None)], "reward_belief": params(None, None, None, None) }, "candidate": { "success_criterion_belief": [params(1, 1, None, None)], "reward_belief": params(None, None, None, None) } } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ################### # Test request with no data for obr (not first iteration + min-max not available) ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with no data for obr (not first iteration + min-max not available)") params = namedtuple('params', 'alpha beta gamma sigma') parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.5, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "None", "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 200000, "stop_on_failure": False } ] }, "_last_state": { "baseline": { "success_criterion_belief": [params(None, None, 0, 1)], "reward_belief": params(None, None, None, None) }, "candidate": { "success_criterion_belief": [params(None, None, 0, 1)], "reward_belief": params(None, None, None, None) } } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ##All tests after this involve the /experiment/check_and_increment endpoint for A/B experiments def test_experiment_payload_ab_check_and_increment(self): """Tests the REST endpoint /experiment/check_and_increment.""" endpoint = f'http://localhost:5555/api/v1/experiment/check_and_increment' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } # Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /experiment/epsilon_t_greedy endpoint for A/B experiments def test_experiment_payload_ab_epsilon_t_greedy(self): """Tests the REST endpoint /experiment/epsilon_t_greedy.""" endpoint = f'http://localhost:5555/api/v1/experiment/epsilon_t_greedy' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-04-24T19:40:32.017Z", "tags": { "destination_service_namespace": "default", "destination_workload": "reviews-v3" } }, "traffic_control": { "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "type": "delta", "value": 0.02, "sample_size": 0, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": {} } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /experiment/posterior_bayesian_routing endpoint for A/B experiments def test_experiment_payload_ab_posterior_bayesian_routing(self): """Tests the REST endpoint /experiment/posterior_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/posterior_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) #All tests after this involve the /experiment/optimistic_bayesian_routing endpoint for A/B experiments def test_experiment_payload_ab_optimistic_bayesian_routing(self): """Tests the REST endpoint /experiment/optimistic_bayesian_routing.""" endpoint = f'http://localhost:5555/api/v1/experiment/optimistic_bayesian_routing' with requests_mock.mock() as m: m.get(self.metrics_endpoint, json=json.load(open("tests/data/prometheus_sample_response.json"))) ################### # Test request with some required parameters ################### log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test request with some required parameters") parameters = { "baseline": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v1" } }, "candidate": { "start_time": "2019-05-01T19:00:02.389Z", "tags": { "destination_workload": "reviews-v3" } }, "traffic_control": { "confidence": 0.9, "success_criteria": [ { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0", "min_max": { "min": 0, "max": 1 }, "metric_query_template": "sum(increase(istio_requests_total{response_code=~\"5..\",reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)", "type": "threshold", "value": 0.02, "stop_on_failure": False } ], "reward": { "metric_name": "iter8_error_rate", "is_counter": False, "absent_value": "0.0", "metric_query_template": "sum(increase(istio_requests_total{source_workload_namespace!='knative-serving',response_code=~'5..',reporter='source'}[$interval]$offset_str)) by ($entity_labels)", "metric_sample_size_query_template": "sum(increase(istio_requests_total{reporter=\"source\"}[$interval]$offset_str)) by ($entity_labels)" } }, "_last_state": { } } #Call the REST API via the test client resp = self.flask_test.post(endpoint, json=parameters) self.assertEqual(resp.status_code, 200, resp.data) ##All tests after this involve the /experiment/algorithms endpoint (until mentioned otherwise) def test_payload_algorithms(self): """Tests the REST endpoint /experiment/algorithms.""" endpoint = f'http://localhost:5555/api/v1/experiment/algorithms' log.info("\n\n\n") log.info('===TESTING ENDPOINT {endpoint}'.format(endpoint=endpoint)) log.info("Test algorithms endpoint") # Call the REST API via the test client resp = self.flask_test.get(endpoint) correct_response = { "check_and_increment": { "endpoint": "/experiment/check_and_increment" }, "epsilon_t_greedy": { "endpoint": "/experiment/epsilon_t_greedy" }, "posterior_bayesian_routing": { "endpoint": "/experiment/posterior_bayesian_routing" }, "optimistic_bayesian_routing": { "endpoint": "/experiment/optimistic_bayesian_routing" }, } self.assertEqual(resp.status_code, 200, resp.data) self.assertEqual(correct_response, resp.get_json())

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null

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1

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1

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null

0

7

c38427e09951f3d8f85339288894d5d7d74d0ccd

94

py

Python

simulaqron/start/__init__.py

WrathfulSpatula/SimulaQron

eaa5548df2f992e187ee70ccd81f192a1ce93e14

[ "BSD-3-Clause" ]

25

2017-11-20T08:50:12.000Z

2018-07-31T19:02:19.000Z

simulaqron/start/__init__.py

WrathfulSpatula/SimulaQron

eaa5548df2f992e187ee70ccd81f192a1ce93e14

[ "BSD-3-Clause" ]

23

2017-11-21T21:47:28.000Z

2018-10-03T08:28:41.000Z

simulaqron/start/__init__.py

WrathfulSpatula/SimulaQron

eaa5548df2f992e187ee70ccd81f192a1ce93e14

[ "BSD-3-Clause" ]

13

2017-11-20T08:50:14.000Z

2018-09-01T21:44:00.000Z

from .start_vnode import main as start_vnode from .start_qnodeos import main as start_qnodeos

31.333333

48

0.851064

16

94

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0.236842

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8

c38ffd51dc2a0fe0075d605f65222930730702a3

68,173

py

Python

py-rest-client/product_catalogue_py_rest_client/api/products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

py-rest-client/product_catalogue_py_rest_client/api/products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

4

2022-02-13T10:48:44.000Z

2022-03-02T21:22:04.000Z

py-rest-client/product_catalogue_py_rest_client/api/products_l0_dist_api.py

ausseabed/product-catalogue

3deca0301298efe22d7b61028683254ac3bd3c66

[ "Apache-2.0" ]

null

# coding: utf-8 """ AusSeabed product catalogue The API description for the Ausseabed product catalogue inventory # noqa: E501 The version of the OpenAPI document: 0.2.2 Contact: AusSeabed@ga.gov.au Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from product_catalogue_py_rest_client.api_client import ApiClient from product_catalogue_py_rest_client.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class ProductsL0DistApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def products_l0_dist_controller_create(self, product_l0_src_id, product_l0_dist_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_create # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_create(product_l0_src_id, product_l0_dist_dto, async_req=True) >>> result = thread.get() :param product_l0_src_id: (required) :type product_l0_src_id: float :param product_l0_dist_dto: (required) :type product_l0_dist_dto: ProductL0DistDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProductL0Dist """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_create_with_http_info(product_l0_src_id, product_l0_dist_dto, **kwargs) # noqa: E501 def products_l0_dist_controller_create_with_http_info(self, product_l0_src_id, product_l0_dist_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_create # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_create_with_http_info(product_l0_src_id, product_l0_dist_dto, async_req=True) >>> result = thread.get() :param product_l0_src_id: (required) :type product_l0_src_id: float :param product_l0_dist_dto: (required) :type product_l0_dist_dto: ProductL0DistDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProductL0Dist, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'product_l0_src_id', 'product_l0_dist_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_create" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_l0_src_id' is set if self.api_client.client_side_validation and ('product_l0_src_id' not in local_var_params or # noqa: E501 local_var_params['product_l0_src_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_l0_src_id` when calling `products_l0_dist_controller_create`") # noqa: E501 # verify the required parameter 'product_l0_dist_dto' is set if self.api_client.client_side_validation and ('product_l0_dist_dto' not in local_var_params or # noqa: E501 local_var_params['product_l0_dist_dto'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_l0_dist_dto` when calling `products_l0_dist_controller_create`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'product_l0_src_id' in local_var_params and local_var_params['product_l0_src_id'] is not None: # noqa: E501 query_params.append(('productL0SrcId', local_var_params['product_l0_src_id'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'product_l0_dist_dto' in local_var_params: body_params = local_var_params['product_l0_dist_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProductL0Dist', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_create_instrument(self, product_id, product_l0_instrument_file_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_create_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_create_instrument(product_id, product_l0_instrument_file_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param product_l0_instrument_file_dto: (required) :type product_l0_instrument_file_dto: ProductL0InstrumentFileDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProductL0InstrumentFile """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_create_instrument_with_http_info(product_id, product_l0_instrument_file_dto, **kwargs) # noqa: E501 def products_l0_dist_controller_create_instrument_with_http_info(self, product_id, product_l0_instrument_file_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_create_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_create_instrument_with_http_info(product_id, product_l0_instrument_file_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param product_l0_instrument_file_dto: (required) :type product_l0_instrument_file_dto: ProductL0InstrumentFileDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProductL0InstrumentFile, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'product_id', 'product_l0_instrument_file_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_create_instrument" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_create_instrument`") # noqa: E501 # verify the required parameter 'product_l0_instrument_file_dto' is set if self.api_client.client_side_validation and ('product_l0_instrument_file_dto' not in local_var_params or # noqa: E501 local_var_params['product_l0_instrument_file_dto'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_l0_instrument_file_dto` when calling `products_l0_dist_controller_create_instrument`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'product_l0_instrument_file_dto' in local_var_params: body_params = local_var_params['product_l0_instrument_file_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}/instrument-files', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProductL0InstrumentFile', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_delete(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_delete # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_delete(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_delete_with_http_info(product_id, **kwargs) # noqa: E501 def products_l0_dist_controller_delete_with_http_info(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_delete # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_delete_with_http_info(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'product_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_delete" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_delete`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_delete_instrument(self, product_id, instrument_id, **kwargs): # noqa: E501 """products_l0_dist_controller_delete_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_delete_instrument(product_id, instrument_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_delete_instrument_with_http_info(product_id, instrument_id, **kwargs) # noqa: E501 def products_l0_dist_controller_delete_instrument_with_http_info(self, product_id, instrument_id, **kwargs): # noqa: E501 """products_l0_dist_controller_delete_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_delete_instrument_with_http_info(product_id, instrument_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'product_id', 'instrument_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_delete_instrument" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_delete_instrument`") # noqa: E501 # verify the required parameter 'instrument_id' is set if self.api_client.client_side_validation and ('instrument_id' not in local_var_params or # noqa: E501 local_var_params['instrument_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `instrument_id` when calling `products_l0_dist_controller_delete_instrument`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 if 'instrument_id' in local_var_params: path_params['instrumentId'] = local_var_params['instrument_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}/instrument-files/{instrumentId}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_find_all(self, **kwargs): # noqa: E501 """products_l0_dist_controller_find_all # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_all(async_req=True) >>> result = thread.get() :param filter_by_product_src_id: :type filter_by_product_src_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: list[ProductL0Dist] """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_find_all_with_http_info(**kwargs) # noqa: E501 def products_l0_dist_controller_find_all_with_http_info(self, **kwargs): # noqa: E501 """products_l0_dist_controller_find_all # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_all_with_http_info(async_req=True) >>> result = thread.get() :param filter_by_product_src_id: :type filter_by_product_src_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(list[ProductL0Dist], status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'filter_by_product_src_id', 'snapshot_date_time' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_find_all" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} query_params = [] if 'filter_by_product_src_id' in local_var_params and local_var_params['filter_by_product_src_id'] is not None: # noqa: E501 query_params.append(('filterByProductSrcId', local_var_params['filter_by_product_src_id'])) # noqa: E501 if 'snapshot_date_time' in local_var_params and local_var_params['snapshot_date_time'] is not None: # noqa: E501 query_params.append(('snapshotDateTime', local_var_params['snapshot_date_time'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[ProductL0Dist]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_find_instruments(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_instruments # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_instruments(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: list[ProductL0InstrumentFile] """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_find_instruments_with_http_info(product_id, **kwargs) # noqa: E501 def products_l0_dist_controller_find_instruments_with_http_info(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_instruments # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_instruments_with_http_info(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(list[ProductL0InstrumentFile], status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'product_id', 'snapshot_date_time' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_find_instruments" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_find_instruments`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 query_params = [] if 'snapshot_date_time' in local_var_params and local_var_params['snapshot_date_time'] is not None: # noqa: E501 query_params.append(('snapshotDateTime', local_var_params['snapshot_date_time'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}/instrument-files', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[ProductL0InstrumentFile]', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_find_one(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_one # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_one(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProductL0Dist """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_find_one_with_http_info(product_id, **kwargs) # noqa: E501 def products_l0_dist_controller_find_one_with_http_info(self, product_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_one # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_one_with_http_info(product_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProductL0Dist, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'product_id' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_find_one" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_find_one`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProductL0Dist', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_find_one_instrument(self, product_id, instrument_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_one_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_one_instrument(product_id, instrument_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProductL0InstrumentFile """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_find_one_instrument_with_http_info(product_id, instrument_id, **kwargs) # noqa: E501 def products_l0_dist_controller_find_one_instrument_with_http_info(self, product_id, instrument_id, **kwargs): # noqa: E501 """products_l0_dist_controller_find_one_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_find_one_instrument_with_http_info(product_id, instrument_id, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param snapshot_date_time: :type snapshot_date_time: date :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProductL0InstrumentFile, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'product_id', 'instrument_id', 'snapshot_date_time' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_find_one_instrument" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_find_one_instrument`") # noqa: E501 # verify the required parameter 'instrument_id' is set if self.api_client.client_side_validation and ('instrument_id' not in local_var_params or # noqa: E501 local_var_params['instrument_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `instrument_id` when calling `products_l0_dist_controller_find_one_instrument`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 if 'instrument_id' in local_var_params: path_params['instrumentId'] = local_var_params['instrument_id'] # noqa: E501 query_params = [] if 'snapshot_date_time' in local_var_params and local_var_params['snapshot_date_time'] is not None: # noqa: E501 query_params.append(('snapshotDateTime', local_var_params['snapshot_date_time'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}/instrument-files/{instrumentId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProductL0InstrumentFile', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_update(self, product_id, product_l0_dist_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_update # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_update(product_id, product_l0_dist_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param product_l0_dist_dto: (required) :type product_l0_dist_dto: ProductL0DistDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_update_with_http_info(product_id, product_l0_dist_dto, **kwargs) # noqa: E501 def products_l0_dist_controller_update_with_http_info(self, product_id, product_l0_dist_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_update # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_update_with_http_info(product_id, product_l0_dist_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param product_l0_dist_dto: (required) :type product_l0_dist_dto: ProductL0DistDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'product_id', 'product_l0_dist_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_update" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_update`") # noqa: E501 # verify the required parameter 'product_l0_dist_dto' is set if self.api_client.client_side_validation and ('product_l0_dist_dto' not in local_var_params or # noqa: E501 local_var_params['product_l0_dist_dto'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_l0_dist_dto` when calling `products_l0_dist_controller_update`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'product_l0_dist_dto' in local_var_params: body_params = local_var_params['product_l0_dist_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def products_l0_dist_controller_update_instrument(self, product_id, instrument_id, product_l0_instrument_file_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_update_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_update_instrument(product_id, instrument_id, product_l0_instrument_file_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param product_l0_instrument_file_dto: (required) :type product_l0_instrument_file_dto: ProductL0InstrumentFileDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.products_l0_dist_controller_update_instrument_with_http_info(product_id, instrument_id, product_l0_instrument_file_dto, **kwargs) # noqa: E501 def products_l0_dist_controller_update_instrument_with_http_info(self, product_id, instrument_id, product_l0_instrument_file_dto, **kwargs): # noqa: E501 """products_l0_dist_controller_update_instrument # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.products_l0_dist_controller_update_instrument_with_http_info(product_id, instrument_id, product_l0_instrument_file_dto, async_req=True) >>> result = thread.get() :param product_id: (required) :type product_id: float :param instrument_id: (required) :type instrument_id: float :param product_l0_instrument_file_dto: (required) :type product_l0_instrument_file_dto: ProductL0InstrumentFileDto :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'product_id', 'instrument_id', 'product_l0_instrument_file_dto' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method products_l0_dist_controller_update_instrument" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'product_id' is set if self.api_client.client_side_validation and ('product_id' not in local_var_params or # noqa: E501 local_var_params['product_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_id` when calling `products_l0_dist_controller_update_instrument`") # noqa: E501 # verify the required parameter 'instrument_id' is set if self.api_client.client_side_validation and ('instrument_id' not in local_var_params or # noqa: E501 local_var_params['instrument_id'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `instrument_id` when calling `products_l0_dist_controller_update_instrument`") # noqa: E501 # verify the required parameter 'product_l0_instrument_file_dto' is set if self.api_client.client_side_validation and ('product_l0_instrument_file_dto' not in local_var_params or # noqa: E501 local_var_params['product_l0_instrument_file_dto'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `product_l0_instrument_file_dto` when calling `products_l0_dist_controller_update_instrument`") # noqa: E501 collection_formats = {} path_params = {} if 'product_id' in local_var_params: path_params['productId'] = local_var_params['product_id'] # noqa: E501 if 'instrument_id' in local_var_params: path_params['instrumentId'] = local_var_params['instrument_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'product_l0_instrument_file_dto' in local_var_params: body_params = local_var_params['product_l0_instrument_file_dto'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['access-token'] # noqa: E501 return self.api_client.call_api( '/products/l0-dist/{productId}/instrument-files/{instrumentId}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth'))

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0

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c395ddc05b4930ecb95705f5ff4097832aa237e0

10,401

py

Python

expert/utils/filters.py

alexhepburn/expert

546f7452ced2213ef91e5ce6e7456a1668dd9f95

[ "BSD-3-Clause" ]

1

2021-04-10T11:34:22.000Z

expert/utils/filters.py

alexhepburn/expert

546f7452ced2213ef91e5ce6e7456a1668dd9f95

[ "BSD-3-Clause" ]

null

expert/utils/filters.py

alexhepburn/expert

546f7452ced2213ef91e5ce6e7456a1668dd9f95

[ "BSD-3-Clause" ]

null

""" The :mod:`expert.utils.filters` module holds filters used in the :mod:`exeprt.models.pyramids` module. """ # Author: Alex Hepburn <alex.hepburn@bristol.ac.uk> # License: new BSD import numpy as np import torch STEERABLE_SPATIAL_FILTERS = { 'lo0filt': torch.from_numpy(np.array([ [-8.701000e-05, -1.354280e-03, -1.601260e-03, -5.033700e-04, 2.524010e-03, -5.033700e-04, -1.601260e-03, -1.354280e-03, -8.701000e-05], [-1.354280e-03, 2.921580e-03, 7.522720e-03, 8.224420e-03, 1.107620e-03, 8.224420e-03, 7.522720e-03, 2.921580e-03, -1.354280e-03], [-1.601260e-03, 7.522720e-03, -7.061290e-03, -3.769487e-02, -3.297137e-02, -3.769487e-02, -7.061290e-03, 7.522720e-03, -1.601260e-03], [-5.033700e-04, 8.224420e-03, -3.769487e-02, 4.381320e-02, 1.811603e-01, 4.381320e-02, -3.769487e-02, 8.224420e-03, -5.033700e-04], [2.524010e-03, 1.107620e-03, -3.297137e-02, 1.811603e-01, 4.376250e-01, 1.811603e-01, -3.297137e-02, 1.107620e-03, 2.524010e-03], [-5.033700e-04, 8.224420e-03, -3.769487e-02, 4.381320e-02, 1.811603e-01, 4.381320e-02, -3.769487e-02, 8.224420e-03, -5.033700e-04], [-1.601260e-03, 7.522720e-03, -7.061290e-03, -3.769487e-02, -3.297137e-02, -3.769487e-02, -7.061290e-03, 7.522720e-03, -1.601260e-03], [-1.354280e-03, 2.921580e-03, 7.522720e-03, 8.224420e-03, 1.107620e-03, 8.224420e-03, 7.522720e-03, 2.921580e-03, -1.354280e-03], [-8.701000e-05, -1.354280e-03, -1.601260e-03, -5.033700e-04, 2.524010e-03, -5.033700e-04, -1.601260e-03, -1.354280e-03, -8.701000e-05]], dtype=np.float32)).reshape((1, 1, 9, 9)), 'hi0filt': torch.from_numpy(np.array([ [-9.570000e-04, -2.424100e-04, -1.424720e-03, -8.742600e-04, -1.166810e-03, -8.742600e-04, -1.424720e-03, -2.424100e-04, -9.570000e-04], [-2.424100e-04, -4.317530e-03, 8.998600e-04, 9.156420e-03, 1.098012e-02, 9.156420e-03, 8.998600e-04, -4.317530e-03, -2.424100e-04], [-1.424720e-03, 8.998600e-04, 1.706347e-02, 1.094866e-02, -5.897780e-03, 1.094866e-02, 1.706347e-02, 8.998600e-04, -1.424720e-03], [-8.742600e-04, 9.156420e-03, 1.094866e-02, -7.841370e-02, -1.562827e-01, -7.841370e-02, 1.094866e-02, 9.156420e-03, -8.742600e-04], [-1.166810e-03, 1.098012e-02, -5.897780e-03, -1.562827e-01, 7.282593e-01, -1.562827e-01, -5.897780e-03, 1.098012e-02, -1.166810e-03], [-8.742600e-04, 9.156420e-03, 1.094866e-02, -7.841370e-02, -1.562827e-01, -7.841370e-02, 1.094866e-02, 9.156420e-03, -8.742600e-04], [-1.424720e-03, 8.998600e-04, 1.706347e-02, 1.094866e-02, -5.897780e-03, 1.094866e-02, 1.706347e-02, 8.998600e-04, -1.424720e-03], [-2.424100e-04, -4.317530e-03, 8.998600e-04, 9.156420e-03, 1.098012e-02, 9.156420e-03, 8.998600e-04, -4.317530e-03, -2.424100e-04], [-9.570000e-04, -2.424100e-04, -1.424720e-03, -8.742600e-04, -1.166810e-03, -8.742600e-04, -1.424720e-03, -2.424100e-04, -9.570000e-04]], dtype=np.float32)).reshape((1, 1, 9, 9)), 'lofilt': torch.from_numpy(np.array([ [-4.350000e-05, 1.207800e-04, -6.771400e-04, -1.243400e-04, -8.006400e-04, -1.597040e-03, -2.516800e-04, -4.202000e-04, 1.262000e-03, -4.202000e-04, -2.516800e-04, -1.597040e-03, -8.006400e-04, -1.243400e-04, -6.771400e-04, 1.207800e-04, -4.350000e-05], [1.207800e-04, 4.460600e-04, -5.814600e-04, 5.621600e-04, -1.368800e-04, 2.325540e-03, 2.889860e-03, 4.287280e-03, 5.589400e-03, 4.287280e-03, 2.889860e-03, 2.325540e-03, -1.368800e-04, 5.621600e-04, -5.814600e-04, 4.460600e-04, 1.207800e-04], [-6.771400e-04, -5.814600e-04, 1.460780e-03, 2.160540e-03, 3.761360e-03, 3.080980e-03, 4.112200e-03, 2.221220e-03, 5.538200e-04, 2.221220e-03, 4.112200e-03, 3.080980e-03, 3.761360e-03, 2.160540e-03, 1.460780e-03, -5.814600e-04, -6.771400e-04], [-1.243400e-04, 5.621600e-04, 2.160540e-03, 3.175780e-03, 3.184680e-03, -1.777480e-03, -7.431700e-03, -9.056920e-03, -9.637220e-03, -9.056920e-03, -7.431700e-03, -1.777480e-03, 3.184680e-03, 3.175780e-03, 2.160540e-03, 5.621600e-04, -1.243400e-04], [-8.006400e-04, -1.368800e-04, 3.761360e-03, 3.184680e-03, -3.530640e-03, -1.260420e-02, -1.884744e-02, -1.750818e-02, -1.648568e-02, -1.750818e-02, -1.884744e-02, -1.260420e-02, -3.530640e-03, 3.184680e-03, 3.761360e-03, -1.368800e-04, -8.006400e-04], [-1.597040e-03, 2.325540e-03, 3.080980e-03, -1.777480e-03, -1.260420e-02, -2.022938e-02, -1.109170e-02, 3.955660e-03, 1.438512e-02, 3.955660e-03, -1.109170e-02, -2.022938e-02, -1.260420e-02, -1.777480e-03, 3.080980e-03, 2.325540e-03, -1.597040e-03], [-2.516800e-04, 2.889860e-03, 4.112200e-03, -7.431700e-03, -1.884744e-02, -1.109170e-02, 2.190660e-02, 6.806584e-02, 9.058014e-02, 6.806584e-02, 2.190660e-02, -1.109170e-02, -1.884744e-02, -7.431700e-03, 4.112200e-03, 2.889860e-03, -2.516800e-04], [-4.202000e-04, 4.287280e-03, 2.221220e-03, -9.056920e-03, -1.750818e-02, 3.955660e-03, 6.806584e-02, 1.445500e-01, 1.773651e-01, 1.445500e-01, 6.806584e-02, 3.955660e-03, -1.750818e-02, -9.056920e-03, 2.221220e-03, 4.287280e-03, -4.202000e-04], [1.262000e-03, 5.589400e-03, 5.538200e-04, -9.637220e-03, -1.648568e-02, 1.438512e-02, 9.058014e-02, 1.773651e-01, 2.120374e-01, 1.773651e-01, 9.058014e-02, 1.438512e-02, -1.648568e-02, -9.637220e-03, 5.538200e-04, 5.589400e-03, 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-4.350000e-05]], dtype=np.float32)).reshape((1, 1, 17, 17)), 'bfilts': torch.from_numpy(np.array([ [[6.125880e-03, -8.052600e-03, -2.103714e-02, -1.536890e-02, -1.851466e-02, -1.536890e-02, -2.103714e-02, -8.052600e-03, 6.125880e-03], [-1.287416e-02, -9.611520e-03, 1.023569e-02, 6.009450e-03, 1.872620e-03, 6.009450e-03, 1.023569e-02, -9.611520e-03, -1.287416e-02], [-5.641530e-03, 4.168400e-03, -2.382180e-02, -5.375324e-02, -2.076086e-02, -5.375324e-02, -2.382180e-02, 4.168400e-03, -5.641530e-03], [-8.957260e-03, -1.751170e-03, -1.836909e-02, 1.265655e-01, 2.996168e-01, 1.265655e-01, -1.836909e-02, -1.751170e-03, -8.957260e-03], [0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00, 0.000000e+00], [8.957260e-03, 1.751170e-03, 1.836909e-02, -1.265655e-01, -2.996168e-01, -1.265655e-01, 1.836909e-02, 1.751170e-03, 8.957260e-03], [5.641530e-03, -4.168400e-03, 2.382180e-02, 5.375324e-02, 2.076086e-02, 5.375324e-02, 2.382180e-02, 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c39f99cdd35db74da46acfe289cd3df43c93d6c1

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Python

tests/backends/test_dbscript.py

MattToast/SmartSim

4bd5e231445abd9b888561930db859062708678a

[ "BSD-2-Clause" ]

null

tests/backends/test_dbscript.py

MattToast/SmartSim

4bd5e231445abd9b888561930db859062708678a

[ "BSD-2-Clause" ]

null

tests/backends/test_dbscript.py

MattToast/SmartSim

4bd5e231445abd9b888561930db859062708678a

[ "BSD-2-Clause" ]

null

import sys import pytest from smartsim import Experiment, status from smartsim._core.utils import installed_redisai_backends from smartsim.error.errors import SSUnsupportedError should_run = True try: import torch except ImportError: should_run = False should_run &= "torch" in installed_redisai_backends() def timestwo(x): return 2 * x @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_db_script(fileutils, wlmutils): """Test DB scripts on remote DB""" exp_name = "test-db-script" # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") torch_script = fileutils.get_test_conf_path("torchscript.py") exp = Experiment(exp_name, exp_path=test_dir, launcher="local") # create colocated model run_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) smartsim_model = exp.create_model("smartsim_model", run_settings) smartsim_model.set_path(test_dir) db = exp.create_database(port=wlmutils.get_test_port(), interface="lo") exp.generate(db) torch_script_str = "def negate(x):\n\treturn torch.neg(x)\n" smartsim_model.add_script("test_script1", script_path=torch_script, device="CPU") smartsim_model.add_script("test_script2", script=torch_script_str, device="CPU") smartsim_model.add_function("test_func", function=timestwo, device="CPU") # Assert we have all three models assert len(smartsim_model._db_scripts) == 3 exp.start(db, smartsim_model, block=True) statuses = exp.get_status(smartsim_model) exp.stop(db) assert all([stat == status.STATUS_COMPLETED for stat in statuses]) @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_db_script_ensemble(fileutils, wlmutils): """Test DB scripts on remote DB""" exp_name = "test-db-script" # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") torch_script = fileutils.get_test_conf_path("torchscript.py") exp = Experiment(exp_name, exp_path=test_dir, launcher="local") # create colocated model run_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) ensemble = exp.create_ensemble( "dbscript_ensemble", run_settings=run_settings, replicas=2 ) ensemble.set_path(test_dir) smartsim_model = exp.create_model("smartsim_model", run_settings) smartsim_model.set_path(test_dir) db = exp.create_database(port=wlmutils.get_test_port(), interface="lo") exp.generate(db) torch_script_str = "def negate(x):\n\treturn torch.neg(x)\n" ensemble.add_script("test_script1", script_path=torch_script, device="CPU") for entity in ensemble: entity.disable_key_prefixing() entity.add_script("test_script2", script=torch_script_str, device="CPU") ensemble.add_function("test_func", function=timestwo, device="CPU") # Ensemble must add all available DBScripts to new entity ensemble.add_model(smartsim_model) smartsim_model.add_script("test_script2", script=torch_script_str, device="CPU") # Assert we have added both models to the ensemble assert len(ensemble._db_scripts) == 2 # Assert we have added all three models to entities in ensemble assert all([len(entity._db_scripts) == 3 for entity in ensemble]) exp.start(db, ensemble, block=True) statuses = exp.get_status(ensemble) exp.stop(db) assert all([stat == status.STATUS_COMPLETED for stat in statuses]) @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_colocated_db_script(fileutils, wlmutils): """Test DB Scripts on colocated DB""" exp_name = "test-colocated-db-script" exp = Experiment(exp_name, launcher="local") # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") torch_script = fileutils.get_test_conf_path("torchscript.py") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_model = exp.create_model("colocated_model", colo_settings) colo_model.set_path(test_dir) colo_model.colocate_db( port=wlmutils.get_test_port(), db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) torch_script_str = "def negate(x):\n\treturn torch.neg(x)\n" colo_model.add_script("test_script1", script_path=torch_script, device="CPU") colo_model.add_script("test_script2", script=torch_script_str, device="CPU") # Assert we have added both models assert len(colo_model._db_scripts) == 2 for db_script in colo_model._db_scripts: print(db_script) exp.start(colo_model, block=True) statuses = exp.get_status(colo_model) assert all([stat == status.STATUS_COMPLETED for stat in statuses]) @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_colocated_db_script_ensemble(fileutils, wlmutils): """Test DB Scripts on colocated DB from ensemble, first colocating DB, then adding script. """ exp_name = "test-colocated-db-script" exp = Experiment(exp_name, launcher="local") # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") torch_script = fileutils.get_test_conf_path("torchscript.py") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_ensemble = exp.create_ensemble( "colocated_ensemble", run_settings=colo_settings, replicas=2 ) colo_ensemble.set_path(test_dir) colo_model = exp.create_model("colocated_model", colo_settings) colo_model.set_path(test_dir) for i, entity in enumerate(colo_ensemble): entity.disable_key_prefixing() entity.colocate_db( port=wlmutils.get_test_port() + i, db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) entity.add_script("test_script1", script_path=torch_script, device="CPU") colo_model.colocate_db( port=wlmutils.get_test_port() + len(colo_ensemble), db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo", ) torch_script_str = "def negate(x):\n\treturn torch.neg(x)\n" colo_ensemble.add_script("test_script2", script=torch_script_str, device="CPU") colo_ensemble.add_model(colo_model) colo_model.add_script("test_script1", script_path=torch_script, device="CPU") # Assert we have added one model to the ensemble assert len(colo_ensemble._db_scripts) == 1 # Assert we have added both models to each entity assert all([len(entity._db_scripts) == 2 for entity in colo_ensemble]) exp.start(colo_ensemble, block=True) statuses = exp.get_status(colo_ensemble) assert all([stat == status.STATUS_COMPLETED for stat in statuses]) @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_colocated_db_script_ensemble_reordered(fileutils, wlmutils): """Test DB Scripts on colocated DB from ensemble, first adding the script to the ensemble, then colocating the DB""" exp_name = "test-colocated-db-script" exp = Experiment(exp_name, launcher="local") # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") torch_script = fileutils.get_test_conf_path("torchscript.py") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_ensemble = exp.create_ensemble( "colocated_ensemble", run_settings=colo_settings, replicas=2 ) colo_ensemble.set_path(test_dir) colo_model = exp.create_model("colocated_model", colo_settings) colo_model.set_path(test_dir) torch_script_str = "def negate(x):\n\treturn torch.neg(x)\n" colo_ensemble.add_script("test_script2", script=torch_script_str, device="CPU") for i, entity in enumerate(colo_ensemble): entity.disable_key_prefixing() entity.colocate_db( port=wlmutils.get_test_port() + i, db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) entity.add_script("test_script1", script_path=torch_script, device="CPU") colo_model.colocate_db( port=wlmutils.get_test_port() + len(colo_ensemble), db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo", ) colo_ensemble.add_model(colo_model) colo_model.add_script("test_script1", script_path=torch_script, device="CPU") # Assert we have added one model to the ensemble assert len(colo_ensemble._db_scripts) == 1 # Assert we have added both models to each entity assert all([len(entity._db_scripts) == 2 for entity in colo_ensemble]) exp.start(colo_ensemble, block=True) statuses = exp.get_status(colo_ensemble) assert all([stat == status.STATUS_COMPLETED for stat in statuses]) @pytest.mark.skipif(not should_run, reason="Test needs Torch to run") def test_db_script_errors(fileutils, wlmutils): """Test DB Scripts error when setting a serialized function on colocated DB""" exp_name = "test-colocated-db-script" exp = Experiment(exp_name, launcher="local") # get test setup test_dir = fileutils.make_test_dir() sr_test_script = fileutils.get_test_conf_path("run_dbscript_smartredis.py") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_model = exp.create_model("colocated_model", colo_settings) colo_model.set_path(test_dir) colo_model.colocate_db( port=wlmutils.get_test_port(), db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) with pytest.raises(SSUnsupportedError): colo_model.add_function("test_func", function=timestwo, device="CPU") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_ensemble = exp.create_ensemble( "colocated_ensemble", run_settings=colo_settings, replicas=2 ) colo_ensemble.set_path(test_dir) for i, entity in enumerate(colo_ensemble): entity.colocate_db( port=wlmutils.get_test_port() + i, db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) with pytest.raises(SSUnsupportedError): colo_ensemble.add_function("test_func", function=timestwo, device="CPU") # create colocated model colo_settings = exp.create_run_settings(exe=sys.executable, exe_args=sr_test_script) colo_ensemble = exp.create_ensemble( "colocated_ensemble", run_settings=colo_settings, replicas=2 ) colo_ensemble.set_path(test_dir) colo_ensemble.add_function("test_func", function=timestwo, device="CPU") for i, entity in enumerate(colo_ensemble): with pytest.raises(SSUnsupportedError): entity.colocate_db( port=wlmutils.get_test_port() + i, db_cpus=1, limit_app_cpus=False, debug=True, ifname="lo" ) with pytest.raises(SSUnsupportedError): colo_ensemble.add_model(colo_model)

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null

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c3ce4562e38da3d87475f9b00208c5001e46cc28

45

py

Python

angr/utils/__init__.py

vwvw/angr

956b75c1908b786d51a5af3a29a96b5ef35c756e

[ "BSD-2-Clause" ]

2

2019-12-20T13:42:57.000Z

2021-07-07T09:34:46.000Z

angr/utils/__init__.py

vwvw/angr

956b75c1908b786d51a5af3a29a96b5ef35c756e

[ "BSD-2-Clause" ]

1

2019-04-08T12:10:07.000Z

angr/utils/__init__.py

vwvw/angr

956b75c1908b786d51a5af3a29a96b5ef35c756e

[ "BSD-2-Clause" ]

null

from . import graph from . import constants

11.25

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null

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7

7f0b2f14b6bde2c09e0fad6c1033ffbf1527396e

1,365

py

Python

examples/structureData/flagellar/0-coot-history.py

anapgsilva/rt1

c1b61e7081952f1c3053322becac47b649ffa216

[ "MIT" ]

5

2018-06-27T08:54:25.000Z

2020-12-03T14:54:15.000Z

examples/structureData/flagellar/0-coot-history.py

anapgsilva/rt1

c1b61e7081952f1c3053322becac47b649ffa216

[ "MIT" ]

null

examples/structureData/flagellar/0-coot-history.py

anapgsilva/rt1

c1b61e7081952f1c3053322becac47b649ffa216

[ "MIT" ]

1

2019-08-02T03:23:26.000Z

filter_fileselection_filenames_state () get_active_map_drag_flag () use_graphics_interface_state () set_display_intro_string ("Good Morning Calsmi, Welcome to Coot. (revision 5348) [with guile 1.8.8 embedded] [with python 2.7.9 embedded]") set_filter_fileselection_filenames (1) unset_sticky_sort_by_date () set_colour_map_rotation_on_read_pdb (21.00) set_colour_map_rotation_on_read_pdb_c_only_flag (1) set_density_size (15.00) set_swap_difference_map_colours (0) set_colour_map_rotation_for_map (14.00) set_active_map_drag_flag (0) set_idle_function_rotate_angle ( 1.50) filter_fileselection_filenames_state () get_active_map_drag_flag () use_graphics_interface_state () set_display_intro_string ("Good morning Callum. Welcome to Coot") set_display_lists_for_maps (0) set_filter_fileselection_filenames (1) unset_sticky_sort_by_date () set_colour_map_rotation_on_read_pdb (21.00) set_colour_map_rotation_on_read_pdb_c_only_flag (1) set_density_size (15.00) set_swap_difference_map_colours (0) set_colour_map_rotation_for_map (14.00) set_active_map_drag_flag (0) set_idle_function_rotate_angle ( 1.50) filter_fileselection_filenames_state () get_active_map_drag_flag () handle_read_draw_molecule_with_recentre ("shaftTrunc.pdb", 1) use_graphics_interface_state () coot_checked_exit (0) ;; # DIRECT SCHEME ((clear-backups-maybe)) stereo_mode_state () save_state ()

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7

613223f2499bd9b5ecb653aa5f2e0f8d0bbf1cd8

3,952

py

Python

DynamicProgramme/MaximumSubarray_53.py

RunningMartin/LeetCode

ec4ff24bfd8658b733496452478114ad69872c0f

[ "MIT" ]

null

DynamicProgramme/MaximumSubarray_53.py

RunningMartin/LeetCode

ec4ff24bfd8658b733496452478114ad69872c0f

[ "MIT" ]

null

DynamicProgramme/MaximumSubarray_53.py

RunningMartin/LeetCode

ec4ff24bfd8658b733496452478114ad69872c0f

[ "MIT" ]

null

from typing import List, Tuple """ https://leetcode-cn.com/problems/maximum-subarray/ """ class Solution: @staticmethod def max_sub_array_v1(nums: List[int]) -> Tuple[int, List]: """ 依次遍历，统计所有子序列的和，然后找出最大值时间复杂度:O(n^2) 空间复杂度:O(n^2) :param nums: :return: 最大子序列和，最大子序列 """ if not nums: return 0, [] sub_arrays = list() for i in range(len(nums)): for j in range(i, len(nums)): sub_arrays.append(nums[i:j + 1]) max_sum = sum(sub_arrays[0]) sub_array = sub_arrays[0] for array in sub_arrays: if sum(array) > sum(sub_array): max_sum = sum(array) sub_array = array return max_sum, sub_array @staticmethod def max_sub_array_sum_v1(nums: List[int]) -> int: """ 依次遍历，统计所有子序列的和，然后找出最大值时间复杂度:O(n^2) 空间复杂度:O(n^2) :param nums: :return: 最大子序列和 """ if not nums: return 0 sub_arrays = list() for i in range(len(nums)): for j in range(i, len(nums)): sub_arrays.append(nums[i:j + 1]) max_sum = sum(sub_arrays[0]) max_sub_array = sub_arrays[0] for array in sub_arrays: if sum(array) > sum(max_sub_array): max_sum = sum(array) max_sub_array = array return max_sum @staticmethod def max_sub_array_v2(nums: List[int]) -> Tuple[int, List]: """ V1版本中，计算子序列和时，可以采用如下策略剪枝： 1、如果当前的子序列和<0，则不需要以当前子序列为基础往里添加新的元素 2、只有当前子序列和大于0时，才可能让以它为基础的子序列和更大时间复杂度:O(n) 空间复杂度:O(n) :param nums: :return: 最大子序列和，最大子序列 """ if not nums: return 0, [] sub_arrays = list() array = [] for num in nums: array.append(num) sub_arrays.append(array[:]) if sum(array) < 0: array = [] max_sum = sum(sub_arrays[0]) sub_array = sub_arrays[0] for array in sub_arrays: if sum(array) > sum(sub_array): max_sum = sum(array) sub_array = array return max_sum, sub_array @staticmethod def max_sub_array_sum_v2(nums: List[int]) -> int: """ V1版本中，计算子序列和时，可以采用如下策略剪枝： 1、如果当前的子序列和<0，则不需要以当前子序列为基础往里添加新的元素 2、只有当前子序列和大于0时，才可能让以它为基础的子序列和更大时间复杂度:O(n) 空间复杂度:O(n) :param nums: :return: 最大子序列和，最大子序列 """ if not nums: return 0 sub_arrays = list() array = [] for num in nums: array.append(num) sub_arrays.append(array[:]) if sum(array) < 0: array = [] max_sum = sum(sub_arrays[0]) max_sub_array = sub_arrays[0] for array in sub_arrays: if sum(array) > sum(max_sub_array): max_sum = sum(array) max_sub_array = array return max_sum @staticmethod def max_sub_array_v3(nums: List[int]) -> int: """ V2版本的空间复杂度为O(n),如果只需要最大序列和，则我们可以利用原序列，统计sum，将空间复杂度控制为O(1) 时间复杂度:O(n) 空间复杂度:O(1) :param nums: :return: 最大子序列和 """ if not nums: return 0 max_sum = nums[0] for i in range(1, len(nums)): if nums[i - 1] >= 0: nums[i] = nums[i] + nums[i - 1] max_sum = max(max_sum, nums[i]) return max_sum def test(): nums = [-2, 1, -3, 4, -1, 2, 1, -5, 4] assert Solution.max_sub_array_v1(nums) == (6, [4, -1, 2, 1]) assert Solution.max_sub_array_sum_v1(nums) == 6 assert Solution.max_sub_array_v2(nums) == (6, [4, -1, 2, 1]) assert Solution.max_sub_array_sum_v2(nums) == 6 assert Solution.max_sub_array_v3(nums) == 6 if __name__ == '__main__': test()

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null

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7

f63fed701e5200b0df2fa4e5f244af6d43635e70

23,238

py

Python

lib/player/test_lib.py

jPhy/Gomoku

019a672c080c4d9f390d4d2765453780ef2cea63

[ "MIT" ]

7

2016-06-10T17:35:42.000Z

2020-01-03T09:51:19.000Z

lib/player/test_lib.py

jPhy/Gomoku

019a672c080c4d9f390d4d2765453780ef2cea63

[ "MIT" ]

null

lib/player/test_lib.py

jPhy/Gomoku

019a672c080c4d9f390d4d2765453780ef2cea63

[ "MIT" ]

null

"Unit tests for the Random player" import unittest import numpy as np from ..board import Board, black, white, empty from ..gui import BoardGui, tk from .lib import Playerlibrary, PlayerTest build_gui = PlayerTest.build_gui build_board = PlayerTest.build_board class TestBuildBoard(unittest.TestCase): def test_ensure_no_winner(self): board_array = [[empty, black, empty, black, empty], [white, white, white, white, white], [black, empty, black, empty, black]] self.assertRaises(AssertionError, build_board, board_array) def test_build_equal_black_white(self): board_array = [[empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [white, empty, empty, empty, empty, empty, white, empty, empty, empty], [white, empty, empty, empty, empty, white, empty, empty, empty, empty], [black, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, black, black, empty, empty, empty]] board = build_board(board_array) np.testing.assert_equal(board.board, np.array(board_array)) self.assertEqual(board.moves_left, 10 * 6 - 8) def test_build_one_more_white_than_black(self): board_array = [[empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [white, empty, empty, empty, empty, empty, white, empty, empty, empty], [white, empty, empty, empty, empty, white, empty, white, empty, empty], [black, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, black, black, empty, empty, empty]] board = build_board(board_array) np.testing.assert_equal(board.board, np.array(board_array)) self.assertEqual(board.moves_left, 10 * 6 - 9) class TestPlayerlibrary(unittest.TestCase): def setUp(self): np.random.seed(894763834) self.white_player = Playerlibrary() self.white_player.color = white self.black_player = Playerlibrary() self.black_player.color = black def test_win_if_possible(self): boards_to_test = \ [ # row - white [[white, white, empty, white, white, empty, empty, empty, empty, empty], [black, empty, black, black, black, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]], # column - black [[white, black, white, empty, empty, empty, empty, empty, empty, empty], [empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [white, empty, empty, empty, empty, empty, empty, empty, empty, empty], [white, black, empty, empty, empty, empty, empty, empty, empty, empty], [white, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]], # diagonal - black [[white, white, empty, empty, empty, white, empty, empty, empty, empty], [empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, white, empty, empty, empty, empty, empty, empty], [empty, white, empty, black, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, black, empty, empty, empty, empty]], # diagonal - white [[empty, empty, empty, empty, empty, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, white, empty, empty], [empty, black, empty, empty, empty, empty, white, empty, empty, empty], [empty, empty, empty, empty, empty, white, empty, empty, black, empty], [empty, empty, empty, empty, white, empty, black, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]], # not immediately winnable - white [[empty, empty, empty, empty, empty, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, white, empty, empty], [empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, empty, empty, white, empty, empty, black, empty], [empty, empty, empty, empty, white, empty, black, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ] for board_array in boards_to_test[:-1]: gui = build_gui(board_array) if gui.board.in_turn == white: return_value = self.white_player.win_if_possible(gui) self.assertEqual(gui.board.winner()[0], white) elif gui.board.in_turn == black: return_value = self.black_player.win_if_possible(gui) self.assertEqual(gui.board.winner()[0], black) else: raise RuntimeError('FATAL ERROR') self.assertTrue(return_value) gui = build_gui(boards_to_test[-1]) return_value = self.black_player.win_if_possible(gui) self.assertFalse(return_value) self.assertEqual(gui.board.moves_left, 52) def test_random_move(self): height = 10 width = 20 gui = build_gui(np.zeros((height,width))) total_number_of_fields = height * width assert total_number_of_fields % 2 == 0 # need an even number for following loop for i in range(total_number_of_fields // 2): self.assertEqual(gui.board.board.sum(), 0) self.white_player.random_move(gui) self.assertEqual(gui.board.board.sum(), white) self.black_player.random_move(gui) self.assertEqual(gui.board.board.sum(), 0) def test_extend_one(self): gui = build_gui([[empty, empty, empty], [empty, black, empty], [empty, empty, white], [empty, empty, empty], [empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty], [empty, black, white], [empty, empty, white], [empty, empty, empty], [empty, empty, empty]] ) white_return = self.white_player.extend_one(gui) self.assertTrue(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_extend_three_to_four(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, white, white, empty, empty], [empty, empty, empty, empty, white, empty, empty, white, empty, empty], [empty, black, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, white, white, empty, empty], [empty, empty, black, empty, white, empty, empty, white, empty, empty], [empty, black, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) black_return = self.black_player.extend_three_to_four(gui) self.assertTrue(black_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_to_doubly_open_four(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, black, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, white, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, black, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, white, empty, white, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) white_return = self.white_player.block_to_doubly_open_four(gui) self.assertTrue(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_extend_three_to_doubly_open_four(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, black, empty, empty], [empty, empty, black, empty, empty, empty, white, white, empty, empty], [empty, empty, empty, empty, white, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, black, empty, empty], [empty, empty, black, empty, empty, empty, white, white, empty, empty], [empty, empty, black, empty, white, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) black_return = self.black_player.extend_three_to_doubly_open_four(gui) self.assertTrue(black_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) white_return = self.white_player.extend_three_to_doubly_open_four(gui) self.assertFalse(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_open_four(self): gui = build_gui([[empty, empty, empty, empty, white, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, black, white, empty, empty, empty, empty, empty], [empty, empty, empty, empty, black, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, white, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, white, empty, empty, white, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, black, white, empty, empty, empty, empty, empty], [empty, empty, empty, empty, black, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, white, empty, empty, empty, empty]] ) white_return = self.white_player.block_open_four(gui) self.assertTrue(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_open_two(self): gui = build_gui([[empty, empty, empty, empty, empty], [empty, empty, black, black, empty], [empty, white, white, empty, empty], [empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty], [empty, white, black, black, empty], [empty, white, white, empty, empty], [empty, empty, empty, empty, empty]] ) white_return = self.white_player.block_open_two(gui) self.assertTrue(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_doubly_open_two(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, white, empty, empty, empty], [empty, empty, empty, empty, white, empty, empty, empty, empty, empty], [empty, black, empty, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, empty, empty, empty, white, empty, empty, empty], [empty, empty, white, empty, white, empty, empty, empty, empty, empty], [empty, black, empty, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) white_return = self.white_player.block_doubly_open_two(gui) black_return = self.black_player.block_doubly_open_two(gui) self.assertTrue(white_return) # white can block open two self.assertFalse(black_return) # black has no open two to block np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_doubly_open_three(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, black, empty, empty, empty, empty, empty, empty], [empty, empty, empty, white, black, empty, empty, empty, empty, empty], [empty, empty, empty, empty, white, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, white, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, black, empty, empty, empty, empty, empty, empty], [empty, empty, empty, white, black, empty, empty, empty, empty, empty], [empty, empty, empty, empty, white, black, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, white, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) black_return = self.black_player.block_doubly_open_three(gui) white_return = self.white_player.block_doubly_open_three(gui) self.assertTrue(black_return) # white has a doubly open line of three to be blocked np.testing.assert_equal(gui.board.board, target_board_after_moves) self.assertFalse(white_return) # black's line of three is already blocked on one side np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_open_three(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, empty, black, empty, empty, empty, empty, empty], [empty, empty, empty, white, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, white, empty, empty, black, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, black, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, white, empty, black, empty, empty, empty, empty, empty], [empty, empty, empty, white, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, white, empty, empty, black, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) black_return = self.black_player.block_open_three(gui) self.assertTrue(black_return) # white can block open two np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_extend_two_to_three(self): gui = build_gui([[empty, empty, empty, empty, empty, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, white, empty, empty, empty], [empty, empty, black, empty, white, empty, empty, empty, empty, empty], [empty, black, empty, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, empty, empty, empty, empty, white, empty, empty], [empty, empty, black, empty, empty, empty, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, white, empty, empty, empty], [empty, empty, black, empty, white, empty, empty, empty, empty, empty], [empty, black, black, empty, empty, empty, empty, white, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty, empty, empty]] ) black_return = self.black_player.extend_two_to_three(gui) self.assertTrue(black_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_block_twice_to_three_or_more(self): gui = build_gui([[empty, empty, white, empty, empty, empty, empty, empty], [empty, white, empty, white, white, empty, empty, empty], [empty, black, empty, white, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty], [empty, empty, black, black, empty, empty, empty, empty], [empty, empty, black, empty, black, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, white, empty, empty, empty, empty, empty], [empty, white, empty, white, white, empty, empty, empty], [empty, black, empty, white, empty, empty, empty, empty], [empty, empty, white, empty, empty, empty, empty, empty], [empty, empty, black, black, empty, empty, empty, empty], [empty, empty, black, empty, black, empty, empty, empty]] ) white_return = self.white_player.block_twice_to_three_or_more(gui) self.assertTrue(white_return) np.testing.assert_equal(gui.board.board, target_board_after_moves) def test_extend_twice_two_to_three(self): gui = build_gui([[empty, empty, empty, white, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty], [empty, white, empty, black, empty, empty, black, empty], [empty, empty, empty, empty, black, empty, white, empty], [empty, empty, empty, white, black, empty, empty, empty], [empty, empty, white, empty, empty, empty, empty, empty]]) target_board_after_moves = np.array \ ( [[empty, empty, empty, white, empty, empty, empty, empty], [empty, empty, empty, empty, empty, empty, empty, empty], [empty, white, empty, black, black, empty, black, empty], [empty, empty, empty, empty, black, empty, white, empty], [empty, empty, empty, white, black, empty, empty, empty], [empty, empty, white, empty, empty, empty, empty, empty]] ) black_return = self.black_player.extend_twice_two_to_three(gui) self.assertTrue(black_return) np.testing.assert_equal(gui.board.board, target_board_after_moves)

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py

Python

openrec/utils/__init__.py

BoData-Bot/openrec

3d655d21b762b40d50e53cea96d7802fd49c74ad

[ "Apache-2.0" ]

null

openrec/utils/__init__.py

BoData-Bot/openrec

3d655d21b762b40d50e53cea96d7802fd49c74ad

[ "Apache-2.0" ]

null

openrec/utils/__init__.py

BoData-Bot/openrec

3d655d21b762b40d50e53cea96d7802fd49c74ad

[ "Apache-2.0" ]

null

from openrec.utils.dataset import Dataset from openrec.utils.implicit_dataset import ImplicitDataset

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py

Python

q2_cutadapt/tests/test_trim.py

andrewsanchez/q2-cutadapt

15735d12d4553e85c34474175c4daabc31e44cb4

[ "BSD-3-Clause" ]

null

q2_cutadapt/tests/test_trim.py

andrewsanchez/q2-cutadapt

15735d12d4553e85c34474175c4daabc31e44cb4

[ "BSD-3-Clause" ]

null

q2_cutadapt/tests/test_trim.py

andrewsanchez/q2-cutadapt

15735d12d4553e85c34474175c4daabc31e44cb4

[ "BSD-3-Clause" ]

null

# ---------------------------------------------------------------------------- # Copyright (c) 2017-2020, QIIME 2 development team. # # Distributed under the terms of the Modified BSD License. # # The full license is in the file LICENSE, distributed with this software. # ---------------------------------------------------------------------------- import gzip import itertools import os import unittest import pandas as pd from q2_cutadapt._trim import _build_trim_command from q2_types.per_sample_sequences import ( CasavaOneEightSingleLanePerSampleDirFmt, SingleLanePerSampleSingleEndFastqDirFmt, SingleLanePerSamplePairedEndFastqDirFmt, FastqGzFormat, ) from qiime2 import Artifact from qiime2.util import redirected_stdio from qiime2.plugin.testing import TestPluginBase class TestTrimSingle(TestPluginBase): package = 'q2_cutadapt.tests' # This test is really just to make sure that the command runs - the # detailed tests in the Util Tests below ensure the commands are crafted # appropriately. def test_typical(self): demuxed_art = Artifact.import_data('SampleData[SequencesWithQuality]', self.get_data_path('single-end')) adapter = ['TACGGAGGATCC'] with redirected_stdio(stdout=os.devnull): obs_art, = self.plugin.methods['trim_single'](demuxed_art, front=adapter) demuxed = demuxed_art.view(SingleLanePerSampleSingleEndFastqDirFmt) demuxed_seqs = demuxed.sequences.iter_views(FastqGzFormat) obs = obs_art.view(SingleLanePerSampleSingleEndFastqDirFmt) obs_seqs = obs.sequences.iter_views(FastqGzFormat) # Iterate over each sample, side-by-side for (_, exp_fp), (_, obs_fp) in zip(demuxed_seqs, obs_seqs): exp_fh = gzip.open(str(exp_fp), 'rt') obs_fh = gzip.open(str(obs_fp), 'rt') # Iterate over expected and observed reads, side-by-side for records in itertools.zip_longest(*[exp_fh] * 4, *[obs_fh] * 4): (exp_seq_h, exp_seq, _, exp_qual, obs_seq_h, obs_seq, _, obs_qual) = records # Make sure cutadapt hasn't shuffled the read order self.assertEqual(exp_seq_h, obs_seq_h) self.assertTrue(obs_seq in exp_seq) # The adapter should not be present in the trimmed seqs self.assertTrue('TACGGAGGATCC' not in obs_seq) self.assertTrue(obs_qual in exp_qual) # Make sure cutadapt trimmed the quality scores, too self.assertEqual(len(obs_seq), len(obs_qual)) exp_fh.close(), obs_fh.close() def test_min_length(self): demuxed_art = Artifact.import_data('SampleData[SequencesWithQuality]', self.get_data_path('single-end')) # The following "adapter" has been picked specifically to remove # the entire sequence with the ID @HWI-EAS440_0386:1:28:6491:1375#0/1. adapter = ['GGGGGGATCGGGGGCG'] empty_seq_id = '@HWI-EAS440_0386:1:28:6491:1375#0/1' with redirected_stdio(stdout=os.devnull): obs_art, = self.plugin.methods['trim_single'](demuxed_art, adapter=adapter) obs = obs_art.view(SingleLanePerSampleSingleEndFastqDirFmt) for _, obs_fp in obs.sequences.iter_views(FastqGzFormat): with gzip.open(str(obs_fp), 'rt') as obs_fh: for record in itertools.zip_longest(*[obs_fh] * 4): self.assertTrue(record[0] != empty_seq_id) class TestTrimPaired(TestPluginBase): package = 'q2_cutadapt.tests' # This test is really just to make sure that the command runs - the # detailed tests in the Util Tests below ensure the commands are crafted # appropriately. def test_typical(self): demuxed_art = Artifact.import_data( 'SampleData[PairedEndSequencesWithQuality]', self.get_data_path('paired-end')) adapter = ['TACGGAGGATCC'] with redirected_stdio(stdout=os.devnull): # The forward and reverse reads are identical in these data obs_art, = self.plugin.methods['trim_paired'](demuxed_art, front_f=adapter, front_r=adapter) demuxed = demuxed_art.view(SingleLanePerSampleSingleEndFastqDirFmt) demuxed_seqs = demuxed.sequences.iter_views(FastqGzFormat) obs = obs_art.view(SingleLanePerSampleSingleEndFastqDirFmt) obs_seqs = obs.sequences.iter_views(FastqGzFormat) # Iterate over each sample, side-by-side for (_, exp_fp), (_, obs_fp) in zip(demuxed_seqs, obs_seqs): exp_fh = gzip.open(str(exp_fp), 'rt') obs_fh = gzip.open(str(obs_fp), 'rt') # Iterate over expected and observed reads, side-by-side for records in itertools.zip_longest(*[exp_fh] * 4, *[obs_fh] * 4): (exp_seq_h, exp_seq, _, exp_qual, obs_seq_h, obs_seq, _, obs_qual) = records # Make sure cutadapt hasn't shuffled the read order self.assertEqual(exp_seq_h, obs_seq_h) self.assertTrue(obs_seq in exp_seq) # The adapter should not be present in the trimmed seqs self.assertTrue('TACGGAGGATCC' not in obs_seq) self.assertTrue(obs_qual in exp_qual) # Make sure cutadapt trimmed the quality scores, too self.assertEqual(len(obs_seq), len(obs_qual)) exp_fh.close(), obs_fh.close() def test_unordered(self): demuxed_art = Artifact.import_data( 'SampleData[PairedEndSequencesWithQuality]', self.get_data_path('paired-end-unordered')) with redirected_stdio(stdout=os.devnull): # The forward and reverse reads are identical in these data obs_art, = self.plugin.methods['trim_paired'](demuxed_art, front_f=['TTTT'], front_r=['AAAA']) demuxed = demuxed_art.view(SingleLanePerSampleSingleEndFastqDirFmt) demuxed_seqs = demuxed.sequences.iter_views(FastqGzFormat) obs = obs_art.view(SingleLanePerSampleSingleEndFastqDirFmt) obs_seqs = obs.sequences.iter_views(FastqGzFormat) # Iterate over each sample, side-by-side for (_, exp_fp), (_, obs_fp) in zip(demuxed_seqs, obs_seqs): exp_fh = gzip.open(str(exp_fp), 'rt') obs_fh = gzip.open(str(obs_fp), 'rt') # Iterate over expected and observed reads, side-by-side for records in itertools.zip_longest(*[exp_fh] * 4, *[obs_fh] * 4): (exp_seq_h, exp_seq, _, exp_qual, obs_seq_h, obs_seq, _, obs_qual) = records # The adapter should not be present in the trimmed seqs if 'R1_001.fastq' in str(obs_fp): self.assertNotIn('TTTT', obs_seq) else: self.assertNotIn('AAAA', obs_seq) self.assertTrue(obs_qual in exp_qual) # Make sure cutadapt trimmed the quality scores, too self.assertEqual(len(obs_seq), len(obs_qual)) exp_fh.close(), obs_fh.close() class TestTrimUtilsSingle(TestPluginBase): package = 'q2_cutadapt.tests' def setUp(self): super().setUp() self.demux_seqs = SingleLanePerSampleSingleEndFastqDirFmt( self.get_data_path('single-end'), mode='r') self.trimmed_seqs = CasavaOneEightSingleLanePerSampleDirFmt() def test_build_trim_command_typical(self): df = self.demux_seqs.manifest.view(pd.DataFrame) for _, fwd in df.itertuples(): obs = _build_trim_command(fwd, None, self.trimmed_seqs, cores=0, adapter_f=['AAAA'], front_f=['GGGG'], anywhere_f=['CCCC'], error_rate=2, indels=False, times=3, overlap=4, match_read_wildcards=True, match_adapter_wildcards=False, minimum_length=2, discard_untrimmed=True) obs = ' '.join(obs) self.assertTrue('-o %s' % str(self.trimmed_seqs.path / fwd[0]) in obs) self.assertTrue('--cores 0' in obs) self.assertTrue('--adapter AAAA' in obs) self.assertTrue('--front GGGG' in obs) self.assertTrue('--anywhere CCCC' in obs) self.assertTrue('--error-rate 2' in obs) self.assertTrue('--times 3' in obs) self.assertTrue('--overlap 4' in obs) self.assertTrue('--no-indels' in obs) self.assertTrue('--match-read-wildcards' in obs) self.assertTrue('--no-match-adapter-wildcards' in obs) self.assertTrue('--minimum-length 2' in obs) self.assertTrue('--discard-untrimmed' in obs) self.assertTrue(str(self.demux_seqs) in obs) def test_build_trim_command_multiple_adapters(self): df = self.demux_seqs.manifest.view(pd.DataFrame) for _, fwd in df.itertuples(): obs = _build_trim_command(fwd, None, self.trimmed_seqs, adapter_f=['AAAA', 'GGGG', 'CCCC']) obs = ' '.join(obs) self.assertTrue('--adapter AAAA' in obs) self.assertTrue('--adapter GGGG' in obs) self.assertTrue('--adapter CCCC' in obs) self.assertTrue('--front' not in obs) self.assertTrue('--anywhere' not in obs) def test_build_trim_command_no_adapters_or_flags(self): df = self.demux_seqs.manifest.view(pd.DataFrame) for _, fwd in df.itertuples(): obs = _build_trim_command(fwd, None, self.trimmed_seqs) obs = ' '.join(obs) self.assertTrue('--adapter' not in obs) self.assertTrue('--front' not in obs) self.assertTrue('--anywhere' not in obs) self.assertTrue('--no-indels' not in obs) self.assertTrue('--match-read-wildcards' not in obs) self.assertTrue('--no-match-adapter-wildcards' not in obs) self.assertTrue('--minimum-length 1' in obs) self.assertTrue('--discard-untrimmed' not in obs) class TestTrimUtilsPaired(TestPluginBase): package = 'q2_cutadapt.tests' def setUp(self): super().setUp() self.demux_seqs = SingleLanePerSamplePairedEndFastqDirFmt( self.get_data_path('paired-end'), mode='r') self.trimmed_seqs = CasavaOneEightSingleLanePerSampleDirFmt() def test_build_trim_command_typical(self): df = self.demux_seqs.manifest.view(pd.DataFrame) for _, fwd, rev in df.itertuples(): obs = _build_trim_command(fwd, rev, self.trimmed_seqs, cores=0, adapter_f=['AAAA'], front_f=['GGGG'], anywhere_f=['CCCC'], adapter_r=['TTTT'], front_r=['CCCC'], anywhere_r=['GGGG'], error_rate=2, indels=False, times=3, overlap=4, match_read_wildcards=True, match_adapter_wildcards=False, minimum_length=2, discard_untrimmed=True) obs = ' '.join(obs) self.assertTrue('-o %s' % str(self.trimmed_seqs.path / fwd[0]) in obs) self.assertTrue('-p %s' % str(self.trimmed_seqs.path / rev[0]) in obs) self.assertTrue('--cores 0' in obs) self.assertTrue('--adapter AAAA' in obs) self.assertTrue('--front GGGG' in obs) self.assertTrue('--anywhere CCCC' in obs) self.assertTrue('-A TTTT' in obs) self.assertTrue('-G CCCC' in obs) self.assertTrue('-B GGGG' in obs) self.assertTrue('--error-rate 2' in obs) self.assertTrue('--times 3' in obs) self.assertTrue('--overlap 4' in obs) self.assertTrue('--no-indels' in obs) self.assertTrue('--match-read-wildcards' in obs) self.assertTrue('--no-match-adapter-wildcards' in obs) self.assertTrue('--minimum-length 2' in obs) self.assertTrue('--discard-untrimmed' in obs) self.assertTrue(str(self.demux_seqs) in obs) def test_build_trim_command_multiple_adapters(self): df = self.demux_seqs.manifest.view(pd.DataFrame) for _, fwd, rev in df.itertuples(): obs = _build_trim_command(fwd, rev, self.trimmed_seqs, adapter_f=['AAAA', 'GGGG', 'CCCC'], adapter_r=['TTTT', 'CCCC', 'GGGG']) obs = ' '.join(obs) self.assertTrue('--adapter AAAA' in obs) self.assertTrue('--adapter GGGG' in obs) self.assertTrue('--adapter CCCC' in obs) self.assertTrue('-A TTTT' in obs) self.assertTrue('-A CCCC' in obs) self.assertTrue('-A GGGG' in obs) self.assertTrue('--front' not in obs) self.assertTrue('--anywhere' not in obs) self.assertTrue('-G' not in obs) self.assertTrue('-B' not in obs) self.assertTrue('--discard-trimmed' not in obs) if __name__ == '__main__': unittest.main()

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0

7

9cb9590b1299755c2fa42b34b98c947911ebc335

299

py

Python

metaworld/envs/__init__.py

yiwc/robotics-world

48efda3a8ea6741b35828b02860f45753252e376

[ "MIT" ]

681

2019-09-09T19:34:37.000Z

2022-03-31T12:17:58.000Z

metaworld/envs/__init__.py

yiwc/robotics-world

48efda3a8ea6741b35828b02860f45753252e376

[ "MIT" ]

212

2019-09-18T14:43:44.000Z

2022-03-27T22:21:00.000Z

metaworld/envs/__init__.py

yiwc/robotics-world

48efda3a8ea6741b35828b02860f45753252e376

[ "MIT" ]

157

2019-09-12T05:06:05.000Z

2022-03-29T14:47:24.000Z

from metaworld.envs.mujoco.env_dict import (ALL_V2_ENVIRONMENTS_GOAL_HIDDEN, ALL_V2_ENVIRONMENTS_GOAL_OBSERVABLE ) __all__ = ['ALL_V2_ENVIRONMENTS_GOAL_HIDDEN', 'ALL_V2_ENVIRONMENTS_GOAL_OBSERVABLE']

49.833333

79

0.588629

28

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0.43871

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1

0

null

0

9

9cc99b216084ca125659851051b18ddd5e72d2b0

5,500

py

Python

control_system/data/cellDatabase.py

bshrram/Graduation-Project---Omnidirectional-Conveyor-Table

6414fbcb3d53f3c3351c25ac8b48aa73397c250d

[ "MIT" ]

1

2020-09-24T05:06:17.000Z

control_system/data/cellDatabase.py

bshrram/Graduation-Project---Omnidirectional-Conveyor-Table

6414fbcb3d53f3c3351c25ac8b48aa73397c250d

[ "MIT" ]

null

control_system/data/cellDatabase.py

bshrram/Graduation-Project---Omnidirectional-Conveyor-Table

6414fbcb3d53f3c3351c25ac8b48aa73397c250d

[ "MIT" ]

1

2020-12-13T13:31:08.000Z

ids = [ [11, 81, 32, 52, 13], [31, 71, 42, 62, 23], [21, 61, 12, 72, 33], [44, 51, 22, 82, 43] ] cellDatabase = [ # cell_1 { 'code': 1, 'motors': [ {'pins': {'digital': (53, 52), 'pwm': 11}}, {'pins': {'digital': (51, 50), 'pwm': 12}}, {'pins': {'digital': (49, 48), 'pwm': 13}}, ] }, # cell_8 { 'code': 4, 'motors': [ {'pins': {'digital': (29, 28), 'pwm': 5}}, {'pins': {'digital': (31, 30), 'pwm': 6}}, {'pins': {'digital': (33, 32), 'pwm': 7}}, ] }, # cell_3 { 'code': 2, 'motors': [ {'pins': {'digital': (33, 32), 'pwm': 2}}, {'pins': {'digital': (31, 30), 'pwm': 3}}, {'pins': {'digital': (29, 28), 'pwm': 4}}, ] }, # cell_5 { 'code': 3, 'motors': [ {'pins': {'digital': (53, 52), 'pwm': 8}}, {'pins': {'digital': (51, 50), 'pwm': 9}}, {'pins': {'digital': (49, 48), 'pwm': 10}}, ] }, # cell_1 { 'code': 1, 'motors': [ {'pins': {'digital': (53, 52), 'pwm': 11}}, {'pins': {'digital': (51, 50), 'pwm': 12}}, {'pins': {'digital': (49, 48), 'pwm': 13}}, ] }, # cell_3 { 'code': 2, 'motors': [ {'pins': {'digital': (33, 32), 'pwm': 2}}, {'pins': {'digital': (31, 30), 'pwm': 3}}, {'pins': {'digital': (29, 28), 'pwm': 4}}, ] }, # cell_7 { 'code': 4, 'motors': [ {'pins': {'digital': (23, 22), 'pwm': 4}}, {'pins': {'digital': (25, 24), 'pwm': 3}}, {'pins': {'digital': (27, 26), 'pwm': 2}}, ] }, # cell_4 { 'code': 2, 'motors': [ {'pins': {'digital': (27, 26), 'pwm': 5}}, {'pins': {'digital': (25, 24), 'pwm': 6}}, {'pins': {'digital': (23, 22), 'pwm': 7}}, ] }, # cell_6 { 'code': 3, 'motors': [ {'pins': {'digital': (47, 38), 'pwm': 11}}, {'pins': {'digital': (37, 36), 'pwm': 12}}, {'pins': {'digital': (35, 34), 'pwm': 13}}, ] }, # cell_2 { 'code': 1, 'motors': [ {'pins': {'digital': (47, 38), 'pwm': 10}}, {'pins': {'digital': (37, 36), 'pwm': 9}}, {'pins': {'digital': (35, 34), 'pwm': 8}}, ] }, # cell_2 { 'code': 1, 'motors': [ {'pins': {'digital': (47, 38), 'pwm': 10}}, {'pins': {'digital': (37, 36), 'pwm': 9}}, {'pins': {'digital': (35, 34), 'pwm': 8}}, ] }, # cell_6 { 'code': 3, 'motors': [ {'pins': {'digital': (47, 38), 'pwm': 11}}, {'pins': {'digital': (37, 36), 'pwm': 12}}, {'pins': {'digital': (35, 34), 'pwm': 13}}, ] }, # cell_1 { 'code': 1, 'motors': [ {'pins': {'digital': (53, 52), 'pwm': 11}}, {'pins': {'digital': (51, 50), 'pwm': 12}}, {'pins': {'digital': (49, 48), 'pwm': 13}}, ] }, # cell_7 { 'code': 4, 'motors': [ {'pins': {'digital': (23, 22), 'pwm': 4}}, {'pins': {'digital': (25, 24), 'pwm': 3}}, {'pins': {'digital': (27, 26), 'pwm': 2}}, ] }, # cell_3 { 'code': 2, 'motors': [ {'pins': {'digital': (33, 32), 'pwm': 2}}, {'pins': {'digital': (31, 30), 'pwm': 3}}, {'pins': {'digital': (29, 28), 'pwm': 4}}, ] }, # cell_4 { 'code': 2, 'motors': [ {'pins': {'digital': (27, 26), 'pwm': 5}}, {'pins': {'digital': (25, 24), 'pwm': 6}}, {'pins': {'digital': (23, 22), 'pwm': 7}}, ] }, # cell_5 { 'code': 3, 'motors': [ {'pins': {'digital': (53, 52), 'pwm': 8}}, {'pins': {'digital': (51, 50), 'pwm': 9}}, {'pins': {'digital': (49, 48), 'pwm': 10}}, ] }, # cell_2 { 'code': 1, 'motors': [ {'pins': {'digital': (47, 38), 'pwm': 10}}, {'pins': {'digital': (37, 36), 'pwm': 9}}, {'pins': {'digital': (35, 34), 'pwm': 8}}, ] }, # cell_8 { 'code': 4, 'motors': [ {'pins': {'digital': (29, 28), 'pwm': 5}}, {'pins': {'digital': (31, 30), 'pwm': 6}}, {'pins': {'digital': (33, 32), 'pwm': 7}}, ] }, # cell_4 { 'code': 2, 'motors': [ {'pins': {'digital': (27, 26), 'pwm': 5}}, {'pins': {'digital': (25, 24), 'pwm': 6}}, {'pins': {'digital': (23, 22), 'pwm': 7}}, ] }, ] k = 0 for i in range(4): for j in range(5): j1 = j*2 if i%2 == 1: j1 = j1 + 1 cellDatabase[k]['id'] = ids[i][j] cellDatabase[k]['location'] = [i, j1] k += 1 y0 = 163.75 x0 = 165.8 dy = 157.5 dx = 90.93 * 2 r=0 for i in range(4): x0 = 165.8 if i == 1 or i == 3: x0 = x0+dx/2 for j in range(5): location = [x0, y0] cellDatabase[r]['coordinates'] = location # print(cellDatabase[r]['coordinates']) x0 = x0+dx r+= 1 y0=y0+dy

24.886878

55

0.327455

574

5,500

3.102787

0.139373

0.370578

0.190904

0.050533

0.859068

0.845592

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0.406545

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220

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1

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1

0

1

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null

0

9

143ee29a245304ad09eb6ebb0377a7a9cc6d49b6

2,129

py

Python

plantcv/plantcv/spectral_index/__init__.py

YuanYu-Double/plantcv

0e11c7f63d96a52487e01e3b67744aa8697eedb2

[ "MIT" ]

1

2022-03-12T05:46:03.000Z

plantcv/plantcv/spectral_index/__init__.py

YuanYu-Double/plantcv

0e11c7f63d96a52487e01e3b67744aa8697eedb2

[ "MIT" ]

null

plantcv/plantcv/spectral_index/__init__.py

YuanYu-Double/plantcv

0e11c7f63d96a52487e01e3b67744aa8697eedb2

[ "MIT" ]

null

from plantcv.plantcv.spectral_index.spectral_index import ndvi from plantcv.plantcv.spectral_index.spectral_index import gdvi from plantcv.plantcv.spectral_index.spectral_index import savi from plantcv.plantcv.spectral_index.spectral_index import pri from plantcv.plantcv.spectral_index.spectral_index import ari from plantcv.plantcv.spectral_index.spectral_index import ci_rededge from plantcv.plantcv.spectral_index.spectral_index import cri550 from plantcv.plantcv.spectral_index.spectral_index import cri700 from plantcv.plantcv.spectral_index.spectral_index import egi from plantcv.plantcv.spectral_index.spectral_index import evi from plantcv.plantcv.spectral_index.spectral_index import mari from plantcv.plantcv.spectral_index.spectral_index import mcari from plantcv.plantcv.spectral_index.spectral_index import mtci from plantcv.plantcv.spectral_index.spectral_index import ndre from plantcv.plantcv.spectral_index.spectral_index import psnd_chla from plantcv.plantcv.spectral_index.spectral_index import psnd_chlb from plantcv.plantcv.spectral_index.spectral_index import psnd_car from plantcv.plantcv.spectral_index.spectral_index import psri from plantcv.plantcv.spectral_index.spectral_index import pssr_chla from plantcv.plantcv.spectral_index.spectral_index import pssr_chlb from plantcv.plantcv.spectral_index.spectral_index import pssr_car from plantcv.plantcv.spectral_index.spectral_index import rgri from plantcv.plantcv.spectral_index.spectral_index import rvsi from plantcv.plantcv.spectral_index.spectral_index import sipi from plantcv.plantcv.spectral_index.spectral_index import sr from plantcv.plantcv.spectral_index.spectral_index import vari from plantcv.plantcv.spectral_index.spectral_index import vi_green from plantcv.plantcv.spectral_index.spectral_index import wi # add new functions to end of lists __all__ = ["ndvi", "gdvi", "savi", "pri", "ari", "ci_rededge", "cri550", "cri700", "egi", "evi", "mari", "mcari", "mtci", "ndre", "psnd_chla", "psnd_chlb", "psnd_car", "psri", "pssr_chla", "pssr_chlb", "pssr_car", "rgri", "rvsi", "sipi", "sr", "vari", "vi_green", "wi"]

60.828571

126

0.837952

304

2,129

5.618421

0.138158

0.42623

0.295082

0.42623

0.846604

0.261124

0

0.006138

0.081729

2,129

34

127

62.617647

0.867519

0.0155

0

0.070201

0

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1

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null

0

1

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1

0

9

14892c1a03eca18eae53c76475c76262d830ad6a

13,566

py

Python

sdk/keyvault/azure-keyvault/azure/keyvault/v7_3_preview/operations/hsm_security_domain_operations.py

mccoyp/azure-keyvault-7.3-preview

da351753a9d3d2bf97c27566865cd88bae7faa55

[ "MIT" ]

null

sdk/keyvault/azure-keyvault/azure/keyvault/v7_3_preview/operations/hsm_security_domain_operations.py

mccoyp/azure-keyvault-7.3-preview

da351753a9d3d2bf97c27566865cd88bae7faa55

[ "MIT" ]

null

sdk/keyvault/azure-keyvault/azure/keyvault/v7_3_preview/operations/hsm_security_domain_operations.py

mccoyp/azure-keyvault-7.3-preview

da351753a9d3d2bf97c27566865cd88bae7faa55

[ "MIT" ]

null

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from .. import models class HSMSecurityDomainOperations(object): """HSMSecurityDomainOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: Client API version. Constant value: "7.3-preview". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config self.api_version = "7.3-preview" def download_pending( self, vault_base_url, custom_headers=None, raw=False, **operation_config): """Retrieves the Security Domain download operation status. :param vault_base_url: The vault name, for example https://myvault.vault.azure.net. :type vault_base_url: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SecurityDomainOperationStatus or ClientRawResponse if raw=true :rtype: ~securitydomain.models.SecurityDomainOperationStatus or ~msrest.pipeline.ClientRawResponse :raises: :class:`KeyVaultErrorException<securitydomain.models.KeyVaultErrorException>` """ # Construct URL url = self.download_pending.metadata['url'] path_format_arguments = { 'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.KeyVaultErrorException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SecurityDomainOperationStatus', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized download_pending.metadata = {'url': '/securitydomain/download/pending'} def download( self, vault_base_url, certificate_info_object, custom_headers=None, raw=False, **operation_config): """Retrieves the Security Domain from the managed HSM. Calling this endpoint can be used to activate a provisioned managed HSM resource. :param vault_base_url: The vault name, for example https://myvault.vault.azure.net. :type vault_base_url: str :param certificate_info_object: The Security Domain download operation requires customer to provide N certificates (minimum 3 and maximum 10) containing a public key in JWK format. :type certificate_info_object: ~securitydomain.models.CertificateInfoObject :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SecurityDomainObject or ClientRawResponse if raw=true :rtype: ~securitydomain.models.SecurityDomainObject or ~msrest.pipeline.ClientRawResponse :raises: :class:`KeyVaultErrorException<securitydomain.models.KeyVaultErrorException>` """ # Construct URL url = self.download.metadata['url'] path_format_arguments = { 'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(certificate_info_object, 'CertificateInfoObject') # Construct and send request request = self._client.post(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [202]: raise models.KeyVaultErrorException(self._deserialize, response) deserialized = None header_dict = {} if response.status_code == 202: deserialized = self._deserialize('SecurityDomainObject', response) header_dict = { 'Retry-After': 'int', 'Azure-AsyncOperation': 'str', } if raw: client_raw_response = ClientRawResponse(deserialized, response) client_raw_response.add_headers(header_dict) return client_raw_response return deserialized download.metadata = {'url': '/securitydomain/download'} def transfer_key_method( self, vault_base_url, custom_headers=None, raw=False, **operation_config): """Retrieve Security Domain transfer key. :param vault_base_url: The vault name, for example https://myvault.vault.azure.net. :type vault_base_url: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: TransferKey or ClientRawResponse if raw=true :rtype: ~securitydomain.models.TransferKey or ~msrest.pipeline.ClientRawResponse :raises: :class:`KeyVaultErrorException<securitydomain.models.KeyVaultErrorException>` """ # Construct URL url = self.transfer_key_method.metadata['url'] path_format_arguments = { 'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.KeyVaultErrorException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('TransferKey', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized transfer_key_method.metadata = {'url': '/securitydomain/upload'} def upload( self, vault_base_url, security_domain, custom_headers=None, raw=False, **operation_config): """Restore the provided Security Domain. :param vault_base_url: The vault name, for example https://myvault.vault.azure.net. :type vault_base_url: str :param security_domain: The Security Domain to be restored. :type security_domain: ~securitydomain.models.SecurityDomainObject :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SecurityDomainOperationStatus or ClientRawResponse if raw=true :rtype: ~securitydomain.models.SecurityDomainOperationStatus or ~msrest.pipeline.ClientRawResponse :raises: :class:`KeyVaultErrorException<securitydomain.models.KeyVaultErrorException>` """ # Construct URL url = self.upload.metadata['url'] path_format_arguments = { 'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(security_domain, 'SecurityDomainObject') # Construct and send request request = self._client.post(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [202, 204]: raise models.KeyVaultErrorException(self._deserialize, response) deserialized = None header_dict = {} if response.status_code == 202: deserialized = self._deserialize('SecurityDomainOperationStatus', response) header_dict = { 'Retry-After': 'int', 'Azure-AsyncOperation': 'str', } if raw: client_raw_response = ClientRawResponse(deserialized, response) client_raw_response.add_headers(header_dict) return client_raw_response return deserialized upload.metadata = {'url': '/securitydomain/upload'} def upload_pending( self, vault_base_url, custom_headers=None, raw=False, **operation_config): """Get Security Domain upload operation status. :param vault_base_url: The vault name, for example https://myvault.vault.azure.net. :type vault_base_url: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: SecurityDomainOperationStatus or ClientRawResponse if raw=true :rtype: ~securitydomain.models.SecurityDomainOperationStatus or ~msrest.pipeline.ClientRawResponse :raises: :class:`KeyVaultErrorException<securitydomain.models.KeyVaultErrorException>` """ # Construct URL url = self.upload_pending.metadata['url'] path_format_arguments = { 'vaultBaseUrl': self._serialize.url("vault_base_url", vault_base_url, 'str', skip_quote=True) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.KeyVaultErrorException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('SecurityDomainOperationStatus', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized upload_pending.metadata = {'url': '/securitydomain/upload/pending'}

40.495522

111

0.666593

1,365

13,566

6.430037

0.136264

0.025635

0.03418

0.01709

0.817478

0.805514

0.7964

0.788652

0.776575

0

0.004179

0.241486

13,566

334

112

40.616766

0.848785

0.363998

0

0.72973

0

0.102054

0.030172

0

1

0.040541

false

0

0.013514

0

0.135135

0

null

0

1

0

1

0

null

0

7

2124839349bb11116bf3b820decbe1b4112371f7

1,612

py

Python

settings/channel_archiver/NIH.TIMING_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

null

settings/channel_archiver/NIH.TIMING_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

1

2019-10-22T21:28:31.000Z

2019-10-22T21:39:12.000Z

settings/channel_archiver/NIH.TIMING_settings.py

bopopescu/Lauecollect

60ae2b05ea8596ba0decf426e37aeaca0bc8b6be

[ "MIT" ]

2

2019-06-06T15:06:46.000Z

2020-07-20T02:03:22.000Z

registers.xosct_trig_count.count.filename = '//mx340hs/data/anfinrud_1903/Archive/NIH.TIMING.registers.xosct_trig_count.count.txt' registers.xosct_acq_count.count.filename = '//mx340hs/data/anfinrud_1903/Archive/NIH.TIMING.registers.xosct_acq_count.count.txt' registers.xdet_acq_count.count.filename = '//mx340hs/data/anfinrud_1903/Archive/NIH.TIMING.registers.xdet_acq_count.count.txt' registers.xdet_trig_count.count.filename = '//mx340hs/data/anfinrud_1903/Archive/NIH.TIMING.registers.xdet_trig_count.count.txt' registers.xdet_state.count.filename = '/net/mx340hs/data/anfinrud_1901/Archive/NIH.TIMING.registers.xdet_state.count.txt' registers.ch7_state.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.ch7_state.count.txt' registers.acquiring.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.acquiring.count.txt' registers.image_number.filename = '/net/mx340hs/data/anfinrud_1901/Archive/NIH.TIMING.registers.image_number.txt' registers.image_number.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.image_number.count.txt' registers.ch1_trig_count.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.ch1_trig_count.count.txt' registers.ch1_acq_count.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.ch1_acq_count.count.txt' registers.ch7_trig_count.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.ch7_trig_count.count.txt' registers.ch7_acq_count.count.filename = '//mx340hs/data/anfinrud_1906/Archive/NIH.TIMING.registers.ch7_acq_count.count.txt'

124

130

0.840571

235

1,612

5.540426

0.102128

0.122888

0.189708

0.249616

0.890937

0.745008

0.683564

0

0.064168

0.023573

1,612

13

131

124

0.763024

0

0.076923

0.650961

0

1

0

true

0

null

0

1

0

1

0

1

0

1

null

0

1

0

9

21557af80079024deacd9b6d46570b08667f7a30

16,896

py

Python

sdk/python/pulumi_akamai/network_list_activations.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

3

2021-01-21T15:22:12.000Z

2021-08-25T14:15:29.000Z

sdk/python/pulumi_akamai/network_list_activations.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

59

2020-08-13T14:39:36.000Z

2022-03-31T15:19:48.000Z

sdk/python/pulumi_akamai/network_list_activations.py

pulumi/pulumi-akamai

85f933ccf2f61738b3074a13fa718132280f8364

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from . import _utilities __all__ = ['NetworkListActivationsArgs', 'NetworkListActivations'] @pulumi.input_type class NetworkListActivationsArgs: def __init__(__self__, *, network_list_id: pulumi.Input[str], notification_emails: pulumi.Input[Sequence[pulumi.Input[str]]], activate: Optional[pulumi.Input[bool]] = None, network: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a NetworkListActivations resource. :param pulumi.Input[str] network_list_id: The ID of the network list to be activated :param pulumi.Input[Sequence[pulumi.Input[str]]] notification_emails: A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. :param pulumi.Input[str] network: The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. :param pulumi.Input[str] notes: A comment describing the activation. """ pulumi.set(__self__, "network_list_id", network_list_id) pulumi.set(__self__, "notification_emails", notification_emails) if activate is not None: pulumi.set(__self__, "activate", activate) if network is not None: pulumi.set(__self__, "network", network) if notes is not None: pulumi.set(__self__, "notes", notes) @property @pulumi.getter(name="networkListId") def network_list_id(self) -> pulumi.Input[str]: """ The ID of the network list to be activated """ return pulumi.get(self, "network_list_id") @network_list_id.setter def network_list_id(self, value: pulumi.Input[str]): pulumi.set(self, "network_list_id", value) @property @pulumi.getter(name="notificationEmails") def notification_emails(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. """ return pulumi.get(self, "notification_emails") @notification_emails.setter def notification_emails(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "notification_emails", value) @property @pulumi.getter def activate(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "activate") @activate.setter def activate(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "activate", value) @property @pulumi.getter def network(self) -> Optional[pulumi.Input[str]]: """ The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. """ return pulumi.get(self, "network") @network.setter def network(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "network", value) @property @pulumi.getter def notes(self) -> Optional[pulumi.Input[str]]: """ A comment describing the activation. """ return pulumi.get(self, "notes") @notes.setter def notes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "notes", value) @pulumi.input_type class _NetworkListActivationsState: def __init__(__self__, *, activate: Optional[pulumi.Input[bool]] = None, network: Optional[pulumi.Input[str]] = None, network_list_id: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, notification_emails: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, status: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering NetworkListActivations resources. :param pulumi.Input[str] network: The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. :param pulumi.Input[str] network_list_id: The ID of the network list to be activated :param pulumi.Input[str] notes: A comment describing the activation. :param pulumi.Input[Sequence[pulumi.Input[str]]] notification_emails: A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. :param pulumi.Input[str] status: The string `ACTIVATED` if the activation was successful, or a string identifying the reason why the network list was not activated. """ if activate is not None: pulumi.set(__self__, "activate", activate) if network is not None: pulumi.set(__self__, "network", network) if network_list_id is not None: pulumi.set(__self__, "network_list_id", network_list_id) if notes is not None: pulumi.set(__self__, "notes", notes) if notification_emails is not None: pulumi.set(__self__, "notification_emails", notification_emails) if status is not None: pulumi.set(__self__, "status", status) @property @pulumi.getter def activate(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "activate") @activate.setter def activate(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "activate", value) @property @pulumi.getter def network(self) -> Optional[pulumi.Input[str]]: """ The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. """ return pulumi.get(self, "network") @network.setter def network(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "network", value) @property @pulumi.getter(name="networkListId") def network_list_id(self) -> Optional[pulumi.Input[str]]: """ The ID of the network list to be activated """ return pulumi.get(self, "network_list_id") @network_list_id.setter def network_list_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "network_list_id", value) @property @pulumi.getter def notes(self) -> Optional[pulumi.Input[str]]: """ A comment describing the activation. """ return pulumi.get(self, "notes") @notes.setter def notes(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "notes", value) @property @pulumi.getter(name="notificationEmails") def notification_emails(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: """ A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. """ return pulumi.get(self, "notification_emails") @notification_emails.setter def notification_emails(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "notification_emails", value) @property @pulumi.getter def status(self) -> Optional[pulumi.Input[str]]: """ The string `ACTIVATED` if the activation was successful, or a string identifying the reason why the network list was not activated. """ return pulumi.get(self, "status") @status.setter def status(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "status", value) class NetworkListActivations(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, activate: Optional[pulumi.Input[bool]] = None, network: Optional[pulumi.Input[str]] = None, network_list_id: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, notification_emails: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): """ Use the `NetworkListActivations` resource to activate a network list in either the STAGING or PRODUCTION environment. ## Example Usage Basic usage: ```python import pulumi import pulumi_akamai as akamai network_lists_filter = akamai.get_network_lists(name=var["network_list"]) activation = akamai.NetworkListActivations("activation", network_list_id=network_lists_filter.lists[0], network="STAGING", notes="TEST Notes", notification_emails=["user@example.com"]) ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] network: The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. :param pulumi.Input[str] network_list_id: The ID of the network list to be activated :param pulumi.Input[str] notes: A comment describing the activation. :param pulumi.Input[Sequence[pulumi.Input[str]]] notification_emails: A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. """ ... @overload def __init__(__self__, resource_name: str, args: NetworkListActivationsArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Use the `NetworkListActivations` resource to activate a network list in either the STAGING or PRODUCTION environment. ## Example Usage Basic usage: ```python import pulumi import pulumi_akamai as akamai network_lists_filter = akamai.get_network_lists(name=var["network_list"]) activation = akamai.NetworkListActivations("activation", network_list_id=network_lists_filter.lists[0], network="STAGING", notes="TEST Notes", notification_emails=["user@example.com"]) ``` :param str resource_name: The name of the resource. :param NetworkListActivationsArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(NetworkListActivationsArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, activate: Optional[pulumi.Input[bool]] = None, network: Optional[pulumi.Input[str]] = None, network_list_id: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, notification_emails: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = NetworkListActivationsArgs.__new__(NetworkListActivationsArgs) __props__.__dict__["activate"] = activate __props__.__dict__["network"] = network if network_list_id is None and not opts.urn: raise TypeError("Missing required property 'network_list_id'") __props__.__dict__["network_list_id"] = network_list_id __props__.__dict__["notes"] = notes if notification_emails is None and not opts.urn: raise TypeError("Missing required property 'notification_emails'") __props__.__dict__["notification_emails"] = notification_emails __props__.__dict__["status"] = None super(NetworkListActivations, __self__).__init__( 'akamai:index/networkListActivations:NetworkListActivations', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, activate: Optional[pulumi.Input[bool]] = None, network: Optional[pulumi.Input[str]] = None, network_list_id: Optional[pulumi.Input[str]] = None, notes: Optional[pulumi.Input[str]] = None, notification_emails: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, status: Optional[pulumi.Input[str]] = None) -> 'NetworkListActivations': """ Get an existing NetworkListActivations resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] network: The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. :param pulumi.Input[str] network_list_id: The ID of the network list to be activated :param pulumi.Input[str] notes: A comment describing the activation. :param pulumi.Input[Sequence[pulumi.Input[str]]] notification_emails: A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. :param pulumi.Input[str] status: The string `ACTIVATED` if the activation was successful, or a string identifying the reason why the network list was not activated. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _NetworkListActivationsState.__new__(_NetworkListActivationsState) __props__.__dict__["activate"] = activate __props__.__dict__["network"] = network __props__.__dict__["network_list_id"] = network_list_id __props__.__dict__["notes"] = notes __props__.__dict__["notification_emails"] = notification_emails __props__.__dict__["status"] = status return NetworkListActivations(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def activate(self) -> pulumi.Output[Optional[bool]]: return pulumi.get(self, "activate") @property @pulumi.getter def network(self) -> pulumi.Output[Optional[str]]: """ The network to be used, either `STAGING` or `PRODUCTION`. If not supplied, defaults to `STAGING`. """ return pulumi.get(self, "network") @property @pulumi.getter(name="networkListId") def network_list_id(self) -> pulumi.Output[str]: """ The ID of the network list to be activated """ return pulumi.get(self, "network_list_id") @property @pulumi.getter def notes(self) -> pulumi.Output[Optional[str]]: """ A comment describing the activation. """ return pulumi.get(self, "notes") @property @pulumi.getter(name="notificationEmails") def notification_emails(self) -> pulumi.Output[Sequence[str]]: """ A bracketed, comma-separated list of email addresses that will be notified when the operation is complete. """ return pulumi.get(self, "notification_emails") @property @pulumi.getter def status(self) -> pulumi.Output[str]: """ The string `ACTIVATED` if the activation was successful, or a string identifying the reason why the network list was not activated. """ return pulumi.get(self, "status")

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161

0.643466

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5.489775

0.090194

0.088261

0.080237

0.05884

0.817939

0.794823

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0.752221

0.728627

0.705512

0

0.000239

0.256984

16,896

404

162

41.821782

0.833679

0.317235

0

0.674208

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0.094044

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0.004525

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null

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1

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null

0

7

dcee3fd4fe942bb77e56fc141a0abff4e800e432

19,183

py

Python

atro/atro_svm/algorithms.py

MasaKat0/ATRO

05c89440d026cbff5bb39a5eae87cd8f103c62c2

[ "MIT" ]

1

2021-03-23T12:31:43.000Z

atro/atro_svm/algorithms.py

MasaKat0/ATRO

05c89440d026cbff5bb39a5eae87cd8f103c62c2

[ "MIT" ]

1

2021-04-05T18:37:37.000Z

atro/atro_svm/algorithms.py

MasaKat0/ATRO

05c89440d026cbff5bb39a5eae87cd8f103c62c2

[ "MIT" ]

null

import numpy as np from scipy.optimize import minimize class SVM(): def __init__(self, C): self.C = C def fit(self, x, y): N, dim = x.shape beta0 = np.zeros(dim+N) fun = lambda beta: self.objective_function(beta, N) cons = ({'type': 'ineq', 'fun': lambda beta: self.contraint_function(beta, x, y)}, {'type': 'ineq', 'fun': lambda beta: beta[:N]}) res = minimize(fun, beta0, method='SLSQP', constraints=cons) self.xi, self.gamma = res.x[:N], res.x[N:] def objective_function(self, beta, N): xi, omega = beta[:N], beta[N:] return np.sum(xi) + (self.C/2)*np.sqrt(np.mean(omega**2)) def contraint_function(self, beta, x, y): N = len(x) xi, omega = beta[:N], beta[N:] g = np.dot(x, omega) g = y*g - 1 + xi return g def predict(self, x): return np.sign(np.dot(x, self.gamma)) def error(self, x, y): return (len(x) - np.sum(y == self.predict(x)))/len(x) def model_selection(self, x_train, t_train, x_test, folds=5, num_basis=100): x_train, x_test = x_train.T, x_test.T t_train = t_train XC_dist, TC_dist, CC_dist, n, num_basis = dist(x_train, x_test, num_basis) # setup the cross validation cv_fold = np.arange(folds) # normal range behaves strange with == sign cv_split0 = np.floor(np.arange(n)*folds/n) cv_index = cv_split0[np.random.permutation(n)] # set the sigma list and lambda list sigma_list = np.array([0.01, 0.1, 1.]) lda_list = np.array([0.01, 0.1, 1.]) score_cv = np.zeros((len(sigma_list), len(lda_list))) for sigma_idx, sigma in enumerate(sigma_list): # pre-sum to speed up calculation h_cv = [] t_cv = [] for k in cv_fold: h_cv.append(np.exp(-XC_dist[:, cv_index==k]/(2*sigma**2))) t_cv.append(t_train[cv_index==k]) for k in range(folds): #print(h0_cv[0]) # calculate the h vectors for training and test count = 0 for j in range(folds): if j == k: hte = h_cv[j].T tte = t_cv[j] else: if count == 0: htr = h_cv[j].T ttr = t_cv[j] count += 1 else: htr = np.append(htr, h_cv[j].T, axis=0) ttr = np.append(ttr, t_cv[j], axis=0) one = np.ones((len(htr),1)) htr = np.concatenate([htr, one], axis=1) one = np.ones((len(hte),1)) hte = np.concatenate([hte, one], axis=1) for lda_idx, lda in enumerate(lda_list): self.C = lda self.fit(htr, ttr.T) score = self.error(hte, tte) score_cv[sigma_idx, lda_idx] = score_cv[sigma_idx, lda_idx] + score (sigma_idx_chosen, lda_idx_chosen) = np.unravel_index(np.argmin(score_cv), score_cv.shape) sigma_chosen = sigma_list[sigma_idx_chosen] lda_chosen = lda_list[lda_idx_chosen] x_train = np.exp(-XC_dist/(2*sigma_chosen**2)).T x_test = np.exp(-TC_dist/(2*sigma_chosen**2)).T one = np.ones((len(x_train),1)) x_train = np.concatenate([x_train, one], axis=1) one = np.ones((len(x_test),1)) x_test = np.concatenate([x_test, one], axis=1) return x_train, x_test, lda_chosen class AT(): def __init__(self, C, epsilon): self.C = C self.epsilon = epsilon def fit(self, x, y): N, dim = x.shape beta0 = np.zeros(dim+N) fun = lambda beta: self.objective_function(beta, N) cons = ({'type': 'ineq', 'fun': lambda beta: self.contraint_function(beta, x, y)}, {'type': 'ineq', 'fun': lambda beta: beta[:N]}) res = minimize(fun, beta0, method='SLSQP', constraints=cons) self.xi, self.gamma = res.x[:N], res.x[N:] def objective_function(self, beta, N): xi, omega = beta[:N], beta[N:] return np.sum(xi) + (self.C/2)*np.sqrt(np.mean(omega**2)) def contraint_function(self, beta, x, y): N = len(x) xi, omega = beta[:N], beta[N:] g = np.dot(x, omega) g = y*g - self.epsilon*np.sum(np.abs(omega)) - 1 + xi return g def predict(self, x): return np.sign(np.dot(x, self.gamma)) def error(self, x, y): return (len(x) - np.sum(y == self.predict(x)))/len(x) def model_selection(self, x_train, t_train, x_test, folds=5, num_basis=100): x_train, x_test = x_train.T, x_test.T t_train = t_train XC_dist, TC_dist, CC_dist, n, num_basis = dist(x_train, x_test, num_basis) # setup the cross validation cv_fold = np.arange(folds) # normal range behaves strange with == sign cv_split0 = np.floor(np.arange(n)*folds/n) cv_index = cv_split0[np.random.permutation(n)] # set the sigma list and lambda list sigma_list = np.array([0.01, 0.1, 1.]) lda_list = np.array([0.01, 0.1, 1.]) score_cv = np.zeros((len(sigma_list), len(lda_list))) for sigma_idx, sigma in enumerate(sigma_list): # pre-sum to speed up calculation h_cv = [] t_cv = [] for k in cv_fold: h_cv.append(np.exp(-XC_dist[:, cv_index==k]/(2*sigma**2))) t_cv.append(t_train[cv_index==k]) for k in range(folds): #print(h0_cv[0]) # calculate the h vectors for training and test count = 0 for j in range(folds): if j == k: hte = h_cv[j].T tte = t_cv[j] else: if count == 0: htr = h_cv[j].T ttr = t_cv[j] count += 1 else: htr = np.append(htr, h_cv[j].T, axis=0) ttr = np.append(ttr, t_cv[j], axis=0) one = np.ones((len(htr),1)) htr = np.concatenate([htr, one], axis=1) one = np.ones((len(hte),1)) hte = np.concatenate([hte, one], axis=1) for lda_idx, lda in enumerate(lda_list): self.C = lda self.fit(htr, ttr.T) score = self.error(hte, tte) score_cv[sigma_idx, lda_idx] = score_cv[sigma_idx, lda_idx] + score (sigma_idx_chosen, lda_idx_chosen) = np.unravel_index(np.argmin(score_cv), score_cv.shape) sigma_chosen = sigma_list[sigma_idx_chosen] lda_chosen = lda_list[lda_idx_chosen] x_train = np.exp(-XC_dist/(2*sigma_chosen**2)).T x_test = np.exp(-TC_dist/(2*sigma_chosen**2)).T one = np.ones((len(x_train),1)) x_train = np.concatenate([x_train, one], axis=1) one = np.ones((len(x_test),1)) x_test = np.concatenate([x_test, one], axis=1) return x_train, x_test, lda_chosen class MH(): def __init__(self, C, D, cost, alpha, beta): self.C = C self.D = D self.cost = cost self.alpha = alpha self.beta = beta def fit(self, x, y): N, dim = x.shape params0 = np.zeros(2*dim+N) fun = lambda params: self.objective_function(params, x) cons = ({'type': 'ineq', 'fun': lambda params: self.contraint_function0(params, x, y)}, {'type': 'ineq', 'fun': lambda params: self.contraint_function1(params, x, y)}, {'type': 'ineq', 'fun': lambda params: params[:N]}) res = minimize(fun, params0, method='SLSQP', constraints=cons) self.xi, self.gamma, self.theta = res.x[:N], res.x[N:-dim], res.x[-dim:] def objective_function(self, params, x): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] obj = np.sum(xi) + (self.C/2)*np.sqrt(np.mean(gamma**2)) + (self.D/2)*np.sqrt(np.mean(theta**2)) return obj def contraint_function0(self, params, x, y): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] g = np.dot(x, theta) g = xi - self.cost*(1- self.beta*g) return g def contraint_function1(self, params, x, y): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] g = np.array([np.dot(x[i], (theta/y[i] - gamma)) for i in range(len(y))]) g = xi - 1- (self.alpha/2)*y*g return g def predict(self, x): return np.sign(np.dot(x, self.gamma)) def reject(self, x): return np.sign(np.dot(x, self.theta)) def error(self, x, y, x_reject, show_rate=False): N = len(x) wrong_answer = np.sum(y[self.reject(x_reject) == 1] != self.predict(x)[self.reject(x_reject) == 1]) rejected = self.cost*np.sum(self.reject(x_reject) == -1) res1 = (wrong_answer + rejected)/N if show_rate: return res1, np.mean(self.reject(x_reject) == -1) else: return res1 def model_selection(self, x_train, t_train, x_test, folds=5, num_basis=100, algorithm='Ridge', logit=False): x_train, x_test = x_train.T, x_test.T t_train = t_train XC_dist, TC_dist, CC_dist, n, num_basis = dist(x_train, x_test, num_basis) # setup the cross validation cv_fold = np.arange(folds) # normal range behaves strange with == sign cv_split0 = np.floor(np.arange(n)*folds/n) cv_index = cv_split0[np.random.permutation(n)] # set the sigma list and lambda list sigma_list = np.array([0.01, 0.1, 1]) lda0_list = np.array([0.01, 0.1, 1]) lda1_list = np.array([0.01, 0.1, 1]) score_cv = np.zeros((len(sigma_list), len(lda0_list), len(lda1_list))) for sigma_idx, sigma in enumerate(sigma_list): # pre-sum to speed up calculation h_cv = [] t_cv = [] for k in cv_fold: h_cv.append(np.exp(-XC_dist[:, cv_index==k]/(2*sigma**2))) t_cv.append(t_train[cv_index==k]) for k in range(folds): #print(h0_cv[0]) # calculate the h vectors for training and test count = 0 for j in range(folds): if j == k: hte = h_cv[j].T tte = t_cv[j] else: if count == 0: htr = h_cv[j].T ttr = t_cv[j] count += 1 else: htr = np.append(htr, h_cv[j].T, axis=0) ttr = np.append(ttr, t_cv[j], axis=0) one = np.ones((len(htr),1)) htr = np.concatenate([htr, one], axis=1) one = np.ones((len(hte),1)) hte = np.concatenate([hte, one], axis=1) for lda0_idx, lda0 in enumerate(lda0_list): for lda1_idx, lda1 in enumerate(lda1_list): self.C = lda0 self.D = lda1 self.fit(htr, ttr.T) score = self.error(hte, tte, hte) score_cv[sigma_idx, lda0_idx, lda1_idx] = score_cv[sigma_idx, lda0_idx, lda1_idx] + score (sigma_idx_chosen, lda0_idx_chosen, lda1_idx_chosen) = np.unravel_index(np.argmin(score_cv), score_cv.shape) sigma_chosen = sigma_list[sigma_idx_chosen] lda0_chosen = lda0_list[lda0_idx_chosen] lda1_chosen = lda1_list[lda1_idx_chosen] x_train = np.exp(-XC_dist/(2*sigma_chosen**2)).T x_test = np.exp(-TC_dist/(2*sigma_chosen**2)).T one = np.ones((len(x_train),1)) x_train = np.concatenate([x_train, one], axis=1) one = np.ones((len(x_test),1)) x_test = np.concatenate([x_test, one], axis=1) return x_train, x_test, lda0_chosen, lda1_chosen class ATRO(): def __init__(self, C, D, cost, alpha, beta, epsilon): self.C = C self.D = D self.cost = cost self.alpha = alpha self.beta = beta self.epsilon = epsilon def fit(self, x, y): N, dim = x.shape params0 = np.zeros(2*dim+N) fun = lambda params: self.objective_function(params, x) cons = ({'type': 'ineq', 'fun': lambda params: self.contraint_function0(params, x, y)}, {'type': 'ineq', 'fun': lambda params: self.contraint_function1(params, x, y)}, {'type': 'ineq', 'fun': lambda params: params[:N]}) res = minimize(fun, params0, method='SLSQP', constraints=cons) self.xi, self.gamma, self.theta = res.x[:N], res.x[N:-dim], res.x[-dim:] def objective_function(self, params, x): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] obj = np.sum(xi) + (self.C/2)*np.sqrt(np.mean(gamma**2)) + (self.D/2)*np.sqrt(np.mean(theta**2)) return obj def contraint_function0(self, params, x, y): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] g = np.dot(x, theta) g = xi - self.cost*(1- self.beta*(g - self.epsilon*np.sum(np.abs(theta)))) return g def contraint_function1(self, params, x, y): N, dim = x.shape xi, gamma, theta = params[:N], params[N:-dim], params[-dim:] g = np.array([np.dot(x[i], (theta/y[i] - gamma)) for i in range(len(y))]) zeta = np.array([theta/y[i] - gamma for i in range(len(y))]) g = xi - 1- (self.alpha/2)*(y*g + self.epsilon*np.sum(np.abs(zeta), axis=1)) return g def predict(self, x): return np.sign(np.dot(x, self.gamma)) def reject(self, x): return np.sign(np.dot(x, self.theta)) def error(self, x, y, x_reject, show_rate=False): N = len(x) wrong_answer = np.sum(y[self.reject(x_reject) == 1] != self.predict(x)[self.reject(x_reject) == 1]) rejected = self.cost*np.sum(self.reject(x_reject) == -1) res1 = (wrong_answer + rejected)/N if show_rate: return res1, np.mean(self.reject(x_reject) == -1) else: return res1 def model_selection(self, x_train, t_train, x_test, folds=5, num_basis=100, algorithm='Ridge', logit=False): x_train, x_test = x_train.T, x_test.T t_train = t_train XC_dist, TC_dist, CC_dist, n, num_basis = dist(x_train, x_test, num_basis) # setup the cross validation cv_fold = np.arange(folds) # normal range behaves strange with == sign cv_split0 = np.floor(np.arange(n)*folds/n) cv_index = cv_split0[np.random.permutation(n)] # set the sigma list and lambda list sigma_list = np.array([0.01, 0.1, 1]) lda0_list = np.array([0.01, 0.1, 1]) lda1_list = np.array([0.01, 0.1, 1]) score_cv = np.zeros((len(sigma_list), len(lda0_list), len(lda1_list))) for sigma_idx, sigma in enumerate(sigma_list): # pre-sum to speed up calculation h_cv = [] t_cv = [] for k in cv_fold: h_cv.append(np.exp(-XC_dist[:, cv_index==k]/(2*sigma**2))) t_cv.append(t_train[cv_index==k]) for k in range(folds): #print(h0_cv[0]) # calculate the h vectors for training and test count = 0 for j in range(folds): if j == k: hte = h_cv[j].T tte = t_cv[j] else: if count == 0: htr = h_cv[j].T ttr = t_cv[j] count += 1 else: htr = np.append(htr, h_cv[j].T, axis=0) ttr = np.append(ttr, t_cv[j], axis=0) one = np.ones((len(htr),1)) htr = np.concatenate([htr, one], axis=1) one = np.ones((len(hte),1)) hte = np.concatenate([hte, one], axis=1) for lda0_idx, lda0 in enumerate(lda0_list): for lda1_idx, lda1 in enumerate(lda1_list): self.C = lda0 self.D = lda1 self.fit(htr, ttr.T) score = self.error(hte, tte, hte) score_cv[sigma_idx, lda0_idx, lda1_idx] = score_cv[sigma_idx, lda0_idx, lda1_idx] + score (sigma_idx_chosen, lda0_idx_chosen, lda1_idx_chosen) = np.unravel_index(np.argmin(score_cv), score_cv.shape) sigma_chosen = sigma_list[sigma_idx_chosen] lda0_chosen = lda0_list[lda0_idx_chosen] lda1_chosen = lda1_list[lda1_idx_chosen] x_train = np.exp(-XC_dist/(2*sigma_chosen**2)).T x_test = np.exp(-TC_dist/(2*sigma_chosen**2)).T one = np.ones((len(x_train),1)) x_train = np.concatenate([x_train, one], axis=1) one = np.ones((len(x_test),1)) x_test = np.concatenate([x_test, one], axis=1) return x_train, x_test, lda0_chosen, lda1_chosen def dist(x, T=None, num_basis=False): (d,n) = x.shape # check input argument if num_basis is False: num_basis = 100000 idx = np.random.permutation(n)[0:num_basis] C = x[:, idx] # calculate the squared distances XC_dist = CalcDistanceSquared(x, C) TC_dist = CalcDistanceSquared(T, C) CC_dist = CalcDistanceSquared(C, C) return XC_dist, TC_dist, CC_dist, n, num_basis def CalcDistanceSquared(X, C): ''' Calculates the squared distance between X and C. XC_dist2 = CalcDistSquared(X, C) [XC_dist2]_{ij} = ||X[:, j] - C[:, i]||2 :param X: dxn: First set of vectors :param C: d:nc Second set of vectors :return: XC_dist2: The squared distance nc x n ''' Xsum = np.sum(X**2, axis=0).T Csum = np.sum(C**2, axis=0) XC_dist = Xsum[np.newaxis, :] + Csum[:, np.newaxis] - 2*np.dot(C.T, X) return XC_dist

37.393762

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b4f00d6c4f0471b062edd68766cff227b19b36fd

15,312

py

Python

pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py

Menerve/pylearn2

ad7bcfda3294404aebd71f5a5c4a8623d401a98e

[ "BSD-3-Clause" ]

3

2016-01-23T10:18:39.000Z

2019-02-28T06:22:45.000Z

pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py

Menerve/pylearn2

ad7bcfda3294404aebd71f5a5c4a8623d401a98e

[ "BSD-3-Clause" ]

null

pylearn2/sandbox/cuda_convnet/tests/test_filter_acts.py

Menerve/pylearn2

ad7bcfda3294404aebd71f5a5c4a8623d401a98e

[ "BSD-3-Clause" ]

null

__authors__ = "Ian Goodfellow" __copyright__ = "Copyright 2010-2012, Universite de Montreal" __credits__ = ["Ian Goodfellow", "David Warde-Farley"] __license__ = "3-clause BSD" __maintainer__ = "LISA Lab" __email__ = "pylearn-dev@googlegroups" from pylearn2.testing.skip import skip_if_no_gpu skip_if_no_gpu() import numpy as np from theano import shared from theano.tensor import grad, constant from pylearn2.sandbox.cuda_convnet.filter_acts import FilterActs from theano.sandbox.cuda import gpu_from_host from theano.sandbox.cuda import host_from_gpu from theano.sandbox.rng_mrg import MRG_RandomStreams from theano.tensor.nnet.conv import conv2d from theano import function from theano import tensor as T import warnings def test_match_valid_conv(): # Tests that running FilterActs with no padding is the same as running # theano's conv2D in valid mode rng = np.random.RandomState([2012,10,9]) batch_size = 5 rows = 10 cols = 9 channels = 3 filter_rows = 4 filter_cols = filter_rows num_filters = 16 images = shared(rng.uniform(-1., 1., (channels, rows, cols, batch_size)).astype('float32'), name='images') filters = shared(rng.uniform(-1., 1., (channels, filter_rows, filter_cols, num_filters)).astype('float32'), name='filters') gpu_images = gpu_from_host(images) gpu_filters = gpu_from_host(filters) output = FilterActs()(gpu_images, gpu_filters) output = host_from_gpu(output) images_bc01 = images.dimshuffle(3,0,1,2) filters_bc01 = filters.dimshuffle(3,0,1,2) filters_bc01 = filters_bc01[:,:,::-1,::-1] output_conv2d = conv2d(images_bc01, filters_bc01, border_mode='valid') output_conv2d = output_conv2d.dimshuffle(1,2,3,0) f = function([], [output, output_conv2d]) output, output_conv2d = f() warnings.warn("""test_match_valid_conv success criterion is not very strict. Can we verify that this is OK? One possibility is that theano is numerically unstable and Alex's code is better. Probably theano CPU 64 bit is OK but it's worth checking the others.""") if np.abs(output - output_conv2d).max() > 2.4e-6: assert type(output) == type(output_conv2d) assert output.dtype == output_conv2d.dtype if output.shape != output_conv2d.shape: print 'cuda-convnet shape: ',output.shape print 'theano shape: ',output_conv2d.shape assert False err = np.abs(output - output_conv2d) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (output.min(), output.max()) print 'theano value range: ', (output_conv2d.min(), output_conv2d.max()) assert False def test_match_valid_conv_strided(): # Tests that running FilterActs with stride is the same as running # theano's conv2D in valid mode and then downsampling rng = np.random.RandomState([2012,10,9]) batch_size = 5 rows = 9 cols = 9 channels = 3 filter_rows = 3 filter_cols = filter_rows stride = 3 num_filters = 16 images = shared(rng.uniform(-1., 1., (channels, rows, cols, batch_size)).astype('float32'), name='images') filters = shared(rng.uniform(-1., 1., (channels, filter_rows, filter_cols, num_filters)).astype('float32'), name='filters') gpu_images = gpu_from_host(images) gpu_filters = gpu_from_host(filters) output = FilterActs(stride=stride)(gpu_images, gpu_filters) output = host_from_gpu(output) images_bc01 = images.dimshuffle(3,0,1,2) filters_bc01 = filters.dimshuffle(3,0,1,2) filters_bc01 = filters_bc01[:,:,::-1,::-1] output_conv2d = conv2d(images_bc01, filters_bc01, border_mode='valid', subsample=(stride, stride)) output_conv2d_orig = output_conv2d.dimshuffle(1,2,3,0) output_conv2d = output_conv2d_orig # [:, ::stride, ::stride, :] f = function([], [output, output_conv2d, output_conv2d_orig]) output, output_conv2d, output_conv2d_orig = f() warnings.warn("""test_match_valid_conv success criterion is not very strict. Can we verify that this is OK? One possibility is that theano is numerically unstable and Alex's code is better. Probably theano CPU 64 bit is OK but it's worth checking the others.""") if np.abs(output - output_conv2d).max() > 2.4e-6: assert type(output) == type(output_conv2d) assert output.dtype == output_conv2d.dtype if output.shape != output_conv2d.shape: print 'cuda-convnet shape: ',output.shape print 'theano shape: ',output_conv2d.shape assert False err = np.abs(output - output_conv2d) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (output.min(), output.max()) print 'theano value range: ', (output_conv2d.min(), output_conv2d.max()) assert False def test_match_valid_conv_padded(): # Tests that running FilterActs with no padding is the same as running # theano's conv2D in valid mode rng = np.random.RandomState([2012,10,9]) batch_size = 5 rows = 10 cols = 9 channels = 3 filter_rows = 4 filter_cols = filter_rows num_filters = 16 images = shared(rng.uniform(-1., 1., (channels, rows, cols, batch_size)).astype('float32'), name='images') filters = shared(rng.uniform(-1., 1., (channels, filter_rows, filter_cols, num_filters)).astype('float32'), name='filters') gpu_images = gpu_from_host(images) gpu_filters = gpu_from_host(filters) PAD = 3 output = FilterActs(PAD)(gpu_images, gpu_filters) output = host_from_gpu(output) images_bc01 = T.alloc(0., batch_size, channels, rows + PAD * 2, cols + PAD * 2) images_bc01 = T.set_subtensor(images_bc01[:,:,PAD:-PAD,PAD:-PAD], images.dimshuffle(3,0,1,2)) filters_bc01 = filters.dimshuffle(3,0,1,2) filters_bc01 = filters_bc01[:,:,::-1,::-1] output_conv2d = conv2d(images_bc01, filters_bc01, border_mode='valid') output_conv2d = output_conv2d.dimshuffle(1,2,3,0) f = function([], [output, output_conv2d]) output, output_conv2d = f() warnings.warn("""test_match_valid_conv success criterion is not very strict. Can we verify that this is OK? One possibility is that theano is numerically unstable and Alex's code is better. Probably theano CPU 64 bit is OK but it's worth checking the others.""") assert output.shape == output_conv2d.shape if np.abs(output - output_conv2d).max() > 2.4e-6: assert type(output) == type(output_conv2d) assert output.dtype == output_conv2d.dtype if output.shape != output_conv2d.shape: print 'cuda-convnet shape: ',output.shape print 'theano shape: ',output_conv2d.shape assert False err = np.abs(output - output_conv2d) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (output.min(), output.max()) print 'theano value range: ', (output_conv2d.min(), output_conv2d.max()) assert False def test_grad(): rng = np.random.RandomState([2012, 10, 9]) batch_size = 5 rows = 10 cols = 9 channels = 3 filter_rows = 4 filter_cols = filter_rows num_filters = 16 images = shared(rng.uniform(-1., 1., (channels, rows, cols, batch_size)).astype('float32'), name='images') filters = shared(rng.uniform(-1., 1., (channels, filter_rows, filter_cols, num_filters)).astype('float32'), name='filters') gpu_images = gpu_from_host(images) gpu_filters = gpu_from_host(filters) output = FilterActs()(gpu_images, gpu_filters) output = host_from_gpu(output) # Proper random projection, like verify_grad does. cost_weights = rng.normal(size=(num_filters, rows - filter_rows + 1, cols - filter_cols + 1, batch_size)) cost = (constant(cost_weights) * output).sum() images_bc01 = images.dimshuffle(3,0,1,2) filters_bc01 = filters.dimshuffle(3,0,1,2) filters_bc01 = filters_bc01[:,:,::-1,::-1] output_conv2d = conv2d(images_bc01, filters_bc01, border_mode='valid') output_conv2d = output_conv2d.dimshuffle(1,2,3,0) # XXX: use verify_grad images_grad, filters_grad = grad(cost.sum(), [images, filters]) reference_cost = (constant(cost_weights) * output_conv2d).sum() images_conv2d_grad, filters_conv2d_grad = grad(reference_cost, [images, filters]) f = function([], [images_grad, filters_grad, images_conv2d_grad, filters_conv2d_grad]) images_grad, filters_grad, images_conv2d_grad, filters_conv2d_grad = f() warnings.warn("""test_match_valid_conv success criterion is not very strict. Can we verify that this is OK? One possibility is that theano is numerically unstable and Alex's code is better. Probably theano CPU 64 bit is OK but it's worth checking the others.""") # XXX: Refactor if np.abs(images_grad - images_conv2d_grad).max() > 1.15e-5: print "=== IMAGES GRADIENT ===" assert type(images_grad) == type(images_conv2d_grad) assert images_grad.dtype == images_conv2d_grad.dtype if images_grad.shape != images_conv2d_grad.shape: print 'cuda-convnet shape: ',images_grad.shape print 'theano shape: ',images_conv2d_grad.shape assert False err = np.abs(images_grad - images_conv2d_grad) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (images_grad.min(), images_grad.max()) print 'theano value range: ', (images_conv2d_grad.min(), images_conv2d_grad.max()) assert False if np.abs(filters_grad - filters_conv2d_grad).max() > 1.15e-5: print "=== FILTERS GRADIENT ===" assert type(filters_grad) == type(filters_conv2d_grad) assert filters_grad.dtype == filters_conv2d_grad.dtype if filters_grad.shape != filters_conv2d_grad.shape: print 'cuda-convnet shape: ',filters_grad.shape print 'theano shape: ',filters_conv2d_grad.shape assert False err = np.abs(filters_grad - filters_conv2d_grad) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (filters_grad.min(), filters_grad.max()) print 'theano value range: ', (filters_conv2d_grad.min(), filters_conv2d_grad.max()) assert False def test_grad_strided(): rng = np.random.RandomState([2012, 10, 9]) batch_size = 5 rows = 9 cols = 9 channels = 3 filter_rows = 3 filter_cols = filter_rows num_filters = 16 stride = 3 images = shared(rng.uniform(-1., 1., (channels, rows, cols, batch_size)).astype('float32'), name='images') filters = shared(rng.uniform(-1., 1., (channels, filter_rows, filter_cols, num_filters)).astype('float32'), name='filters') gpu_images = gpu_from_host(images) gpu_filters = gpu_from_host(filters) output = FilterActs(stride=stride)(gpu_images, gpu_filters) output = host_from_gpu(output) images_bc01 = images.dimshuffle(3,0,1,2) filters_bc01 = filters.dimshuffle(3,0,1,2) filters_bc01 = filters_bc01[:,:,::-1,::-1] output_conv2d = conv2d(images_bc01, filters_bc01, border_mode='valid', subsample=(stride, stride)) output_conv2d = output_conv2d.dimshuffle(1,2,3,0) checker = function([], [output, output_conv2d]) output_numpy, output_conv2d_numpy = checker() if output_numpy.shape != output_conv2d_numpy.shape: raise AssertionError("theano and cuda convnet follow different conventions for this input size, so we can't test cuda convnet by matching it against theano for these inputs") # Proper random projection, like verify_grad does. theano_rng = MRG_RandomStreams(2013*5*4) cost_weights = theano_rng.normal(size=output_conv2d.shape, dtype=output_conv2d.dtype) cost = (cost_weights * output).sum() # XXX: use verify_grad images_grad, filters_grad = grad(cost, [images, filters]) reference_cost = (cost_weights * output_conv2d).sum() images_conv2d_grad, filters_conv2d_grad = grad(reference_cost, [images, filters]) f = function([], [images_grad, filters_grad, images_conv2d_grad, filters_conv2d_grad]) images_grad, filters_grad, images_conv2d_grad, filters_conv2d_grad = f() warnings.warn("""test_match_valid_conv success criterion is not very strict. Can we verify that this is OK? One possibility is that theano is numerically unstable and Alex's code is better. Probably theano CPU 64 bit is OK but it's worth checking the others.""") # XXX: Refactor if np.abs(images_grad - images_conv2d_grad).max() > 1.15e-5: print "=== IMAGES GRADIENT ===" assert type(images_grad) == type(images_conv2d_grad) assert images_grad.dtype == images_conv2d_grad.dtype if images_grad.shape != images_conv2d_grad.shape: print 'cuda-convnet shape: ',images_grad.shape print 'theano shape: ',images_conv2d_grad.shape assert False err = np.abs(images_grad - images_conv2d_grad) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (images_grad.min(), images_grad.max()) print 'theano value range: ', (images_conv2d_grad.min(), images_conv2d_grad.max()) assert False if np.abs(filters_grad - filters_conv2d_grad).max() > 1e-5: print "=== FILTERS GRADIENT ===" assert type(filters_grad) == type(filters_conv2d_grad) assert filters_grad.dtype == filters_conv2d_grad.dtype if filters_grad.shape != filters_conv2d_grad.shape: print 'cuda-convnet shape: ',filters_grad.shape print 'theano shape: ',filters_conv2d_grad.shape assert False err = np.abs(filters_grad - filters_conv2d_grad) print 'absolute error range: ', (err.min(), err.max()) print 'mean absolute error: ', err.mean() print 'cuda-convnet value range: ', (filters_grad.min(), filters_grad.max()) print 'theano value range: ', (filters_conv2d_grad.min(), filters_conv2d_grad.max()) assert False if __name__ == '__main__': test_match_valid_conv_padded()

40.08377

182

0.646878

2,003

15,312

4.729905

0.092361

0.072198

0.037154

0.017944

0.876504

0.848638

0.838716

0.825839

0.823095

0

0.035776

0.242424

15,312

381

183

40.188976

0.780948

0.033242

0

0.803448

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0.190763

0.008723

0

0.103448

0

null

0

0.041379

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0.158621

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0

1

0

1

0

null

0

1

0

8

370215ffc3ea55a38c0ce09625f94f7b42f43bf4

916

py

Python

Notebooks/load_classes.py

r0han99/ODIR

1f68cda76e80ceebd465ffbc3dedad6f9e16f930

[ "MIT" ]

null

Notebooks/load_classes.py

r0han99/ODIR

1f68cda76e80ceebd465ffbc3dedad6f9e16f930

[ "MIT" ]

null

Notebooks/load_classes.py

r0han99/ODIR

1f68cda76e80ceebd465ffbc3dedad6f9e16f930

[ "MIT" ]

null

import re def fetch_classdict(mode='all'): if mode == 'all': with open('class_names.txt','r') as f: content = list(f.readlines()) combined = ' '.join(content) # fetching chars pattern = r'$([A-Z]{1})$' finds = re.findall(pattern, combined) # packaging classes = {} for item, token in zip(content, finds): item = item.split(' ')[0] classes[token] = item return classes else: with open('coi.txt','r') as f: content = list(f.readlines()) combined = ' '.join(content) # fetching chars pattern = r'$([A-Z]{1})$' finds = re.findall(pattern, combined) # packaging classes = {} for item, token in zip(content, finds): item = item.split(' ')[0] classes[token] = item return classes

22.9

47

0.49345

100

916

4.5

0.41

0.031111

0.026667

0.031111

0.835556

0

0.006826

0.360262

916

39

48

23.487179

0.761092

0.053493

0

0.75

0

0.072177

0

1

0.041667

false

0

0.041667

0

0.166667

0

null

0

1

0

1

0

null

0

7

2ed7184d4e5a31eb2b2f597338898671ef4a070a

5,656

py

Python

test_unwrap.py

FelixTheC/python_morsels

e5efa7e88d03a85ebfa34059328f6b446318c1f2

[ "MIT" ]

null

test_unwrap.py

FelixTheC/python_morsels

e5efa7e88d03a85ebfa34059328f6b446318c1f2

[ "MIT" ]

null

test_unwrap.py

FelixTheC/python_morsels

e5efa7e88d03a85ebfa34059328f6b446318c1f2

[ "MIT" ]

null

from textwrap import dedent import unittest from unwrap import unwrap_lines class UnwrapLinesTests(unittest.TestCase): """Tests for unwrap_lines""" maxDiff = 5000 def test_already_wrapped(self): text = "This text is already all on one line" self.assertEqual(unwrap_lines(text).strip(), text) def test_single_paragraph(self): text = dedent(""" Whether I'm teaching new Pythonistas or long-time Python programmers, I frequently find that **Python programmers underutilize multiple assignment**. """).strip() unwrapped_text = unwrap_lines(text) self.assertEqual( unwrapped_text.strip(), "Whether I'm teaching new Pythonistas or long-time Python " + "programmers, I frequently find that **Python programmers " + "underutilize multiple assignment**." ) def test_multiple_paragraphs(self): text = dedent(""" Whether I'm teaching new Pythonistas or long-time Python programmers, I frequently find that **Python programmers underutilize multiple assignment**. Multiple assignment (also known as tuple unpacking or iterable unpacking) allows you to assign multiple variables at the same time in one line of code. This feature often seems simple after you've learned about it, but **it can be tricky to recall multiple assignment when you need it most**. In this article we'll see what multiple assignment is, we'll take a look at common uses of multiple assignment, and then we'll look at a few uses for multiple assignment that are often overlooked. Note that in this article I will be using [f-strings][] which are a Python 3.6+ feature. If you're on an older version of Python, you'll need to mentally translate those to use the string `format` method. """).strip() unwrapped_text = unwrap_lines(text) self.assertEqual( unwrapped_text.strip(), "Whether I'm teaching new Pythonistas or long-time Python " "programmers, I frequently find that **Python programmers " "underutilize multiple assignment**." "\n\n" "Multiple assignment (also known as tuple unpacking or iterable " "unpacking) allows you to assign multiple variables at the same " "time in one line of code. This feature often seems simple after " "you've learned about it, but **it can be tricky to recall " "multiple assignment when you need it most**." "\n\n" "In this article we'll see what multiple assignment is, we'll " "take a look at common uses of multiple assignment, and then " "we'll look at a few uses for multiple assignment that are " "often overlooked." "\n\n" "Note that in this article I will be using [f-strings][] which " "are a Python 3.6+ feature. If you're on an older version of " "Python, you'll need to mentally translate those to use the " "string `format` method." ) # To test the Bonus part of this exercise, comment out the following line # @unittest.expectedFailure def test_extra_line_breaks_preserved(self): text = dedent(""" This is a line that is followed by another line There are 2 blank lines before this And there was 1 before this And three before this one """).lstrip() expected = dedent(""" This is a line that is followed by another line There are 2 blank lines before this And there was 1 before this And three before this one """).lstrip() unwrapped_text = unwrap_lines(text) self.assertEqual(unwrapped_text, expected) # To test the Bonus part of this exercise, comment out the following line # @unittest.expectedFailure def test_preserve_line_break_if_line_ends_in_spaces(self): text = dedent(""" This is a line ends in two spaces So this line doesn't wrap into it This line doesn't end in spaces So this line does wrap into it This line ends in 1 space So this line does wrap """).lstrip() expected = dedent(""" This is a line ends in two spaces So this line doesn't wrap into it This line doesn't end in spaces So this line does wrap into it This line ends in 1 space So this line does wrap """).lstrip() unwrapped_text = unwrap_lines(text) self.assertEqual(unwrapped_text, expected) # To test the Bonus part of this exercise, comment out the following line # @unittest.expectedFailure def test_code_blocks_and_bullet_points(self): text = dedent(""" This text has bullet points: - Point 1 - Point 2 There are also numbered points: 1. First item 2. Second item """).lstrip() expected = dedent(""" This text has bullet points: - Point 1 - Point 2 There are also numbered points: 1. First item 2. Second item """).lstrip() unwrapped_text = unwrap_lines(text) self.assertEqual(unwrapped_text, expected) if __name__ == "__main__": unittest.main(verbosity=2)

36.727273

78

0.606966

722

5,656

4.686981

0.229917

0.074468

0.026596

0.035461

0.87766

0.868203

0

0.006061

0.329031

5,656

154

79

36.727273

0.885639

0.056047

0

0.495652

0

0.669732

0

0.052174

1

0.052174

false

0

0.026087

0

0.095652

0

null

0

1

0

1

0

null

0

7

2ef38f8236d5e2607f9f4afdd01587fd16fa3211

69

py

Python

image_text_contrastive/__init__.py

amsword/image_text_contrastive

8ba34b46355117c11004d0103790dd8e47afea02

[ "MIT" ]

null

image_text_contrastive/__init__.py

amsword/image_text_contrastive

8ba34b46355117c11004d0103790dd8e47afea02

[ "MIT" ]

null

image_text_contrastive/__init__.py

amsword/image_text_contrastive

8ba34b46355117c11004d0103790dd8e47afea02

[ "MIT" ]

null

from .image_text_contrastive_loss import image_text_contrastive_loss

34.5

68

0.927536

10

69

5.8

0.6

0.310345

0.689655

0.827586

0

0.057971

69

1

69

0.892308

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

2c18fe82b2a6662f52d27d37d5380cfec8371291

78,024

py

Python

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/amazon/lamp/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

null

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/amazon/lamp/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

3

2015-12-04T15:27:22.000Z

2016-04-08T11:32:43.000Z

alien4cloud-cloudify3-provider/src/test/resources/outputs/blueprints/amazon/lamp/plugins/custom_wf_plugin/plugin/workflows.py

alien4cloud/alien4cloud-cloudify4-provider

97faee855255eb0c3ce25bb3075c29acd11a63c5

[ "Apache-2.0" ]

16

2015-01-29T10:05:09.000Z

2019-06-24T19:23:54.000Z

from cloudify.decorators import workflow from cloudify.workflows import ctx from cloudify.workflows import tasks as workflow_tasks from utils import set_state_task from utils import operation_task from utils import link_tasks from utils import CustomContext from utils import generate_native_node_workflows from utils import _get_all_nodes from utils import _get_all_nodes_instances from utils import _get_all_modified_node_instances from utils import is_host_node from utils import is_kubernetes_node from utils import relationship_operation_task from workflow import WfStartEvent from workflow import build_pre_event # Subworkflow for host def install_host_server(ctx, graph, custom_context): custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') set_state_task(ctx, graph, 'Apache', 'created', 'Apache_created', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'PHP_host_pre_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'started', 'Apache_started', custom_context) set_state_task(ctx, graph, 'Apache', 'configured', 'Apache_configured', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_database_post_configure_target', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'PHP_host_add_target', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.start', 'Wordpress_start', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_database_post_configure_source', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.configure', 'PHP_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_host_add_target', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.configure', 'Wordpress_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_host_pre_configure_source', custom_context) set_state_task(ctx, graph, 'Wordpress', 'created', 'Wordpress_created', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Apache_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'initial', 'Apache_initial', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_php_add_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'starting', 'Wordpress_starting', custom_context) set_state_task(ctx, graph, 'Apache', 'configuring', 'Apache_configuring', custom_context) set_state_task(ctx, graph, 'Wordpress', 'creating', 'Wordpress_creating', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_database_add_source', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.configure', 'Apache_configure', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.create', 'PHP_create', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_host_post_configure_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'started', 'Wordpress_started', custom_context) set_state_task(ctx, graph, 'Apache', 'starting', 'Apache_starting', custom_context) set_state_task(ctx, graph, 'PHP', 'configuring', 'PHP_configuring', custom_context) set_state_task(ctx, graph, 'PHP', 'configured', 'PHP_configured', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Apache_host_pre_configure_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_database_add_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_host_add_source', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'PHP_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'creating', 'Apache_creating', custom_context) set_state_task(ctx, graph, 'Wordpress', 'initial', 'Wordpress_initial', custom_context) set_state_task(ctx, graph, 'Wordpress', 'configuring', 'Wordpress_configuring', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.start', 'Apache_start', custom_context) set_state_task(ctx, graph, 'Wordpress', 'configured', 'Wordpress_configured', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_php_pre_configure_source', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.create', 'Wordpress_create', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_php_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_database_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_php_post_configure_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'PHP', 'created', 'PHP_created', custom_context) set_state_task(ctx, graph, 'PHP', 'started', 'PHP_started', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.create', 'Apache_create', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.start', 'PHP_start', custom_context) set_state_task(ctx, graph, 'PHP', 'starting', 'PHP_starting', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Apache_host_add_target', custom_context) set_state_task(ctx, graph, 'PHP', 'initial', 'PHP_initial', custom_context) set_state_task(ctx, graph, 'PHP', 'creating', 'PHP_creating', custom_context) custom_context.register_native_delegate_wf_step('Server', 'Server_install') relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_host_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_php_add_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_php_post_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_database_pre_configure_source', custom_context) operation_task(ctx, graph, 'PHP', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_PHP', custom_context) operation_task(ctx, graph, 'Wordpress', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Wordpress', custom_context) operation_task(ctx, graph, 'Apache', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Apache', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'install') link_tasks(graph, 'Apache_configuring', 'Apache_created', custom_context) link_tasks(graph, 'PHP_configure', 'PHP_host_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_initial', 'Apache_started', custom_context) link_tasks(graph, 'Apache_host_add_target', 'Apache_started', custom_context) link_tasks(graph, 'Apache_starting', 'Apache_configured', custom_context) link_tasks(graph, 'Wordpress_started', 'Wordpress_start', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_database_post_configure_source', custom_context) link_tasks(graph, 'PHP_host_post_configure_source', 'PHP_configure', custom_context) link_tasks(graph, 'Wordpress_php_post_configure_target', 'PHP_configure', custom_context) link_tasks(graph, 'PHP_configured', 'PHP_configure', custom_context) link_tasks(graph, 'Wordpress_host_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'Wordpress_php_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_configure', custom_context) link_tasks(graph, 'Wordpress_database_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_host_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_configuring', 'Wordpress_created', custom_context) link_tasks(graph, 'Apache_configured', 'Apache_host_post_configure_source', custom_context) link_tasks(graph, 'Apache_creating', 'Apache_initial', custom_context) link_tasks(graph, 'Wordpress_start', 'Wordpress_starting', custom_context) link_tasks(graph, 'Wordpress_host_pre_configure_target', 'Apache_configuring', custom_context) link_tasks(graph, 'Apache_configure', 'Apache_configuring', custom_context) link_tasks(graph, 'Apache_host_pre_configure_source', 'Apache_configuring', custom_context) link_tasks(graph, '_a4c_init_Wordpress', 'Wordpress_creating', custom_context) link_tasks(graph, 'Apache_host_post_configure_source', 'Apache_configure', custom_context) link_tasks(graph, 'Apache_configured', 'Apache_configure', custom_context) link_tasks(graph, 'Wordpress_host_post_configure_target', 'Apache_configure', custom_context) link_tasks(graph, 'PHP_created', 'PHP_create', custom_context) link_tasks(graph, 'Apache_configured', 'Wordpress_host_post_configure_target', custom_context) link_tasks(graph, 'Wordpress_host_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_database_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_php_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_database_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_php_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_host_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Apache_start', 'Apache_starting', custom_context) link_tasks(graph, 'PHP_host_pre_configure_source', 'PHP_configuring', custom_context) link_tasks(graph, 'PHP_configure', 'PHP_configuring', custom_context) link_tasks(graph, 'Wordpress_php_pre_configure_target', 'PHP_configuring', custom_context) link_tasks(graph, 'PHP_starting', 'PHP_configured', custom_context) link_tasks(graph, 'Apache_configure', 'Apache_host_pre_configure_source', custom_context) link_tasks(graph, 'PHP_configured', 'PHP_host_post_configure_source', custom_context) link_tasks(graph, '_a4c_init_Apache', 'Apache_creating', custom_context) link_tasks(graph, 'Wordpress_creating', 'Wordpress_initial', custom_context) link_tasks(graph, 'Wordpress_php_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Wordpress_host_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Wordpress_database_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Apache_started', 'Apache_start', custom_context) link_tasks(graph, 'Wordpress_starting', 'Wordpress_configured', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_php_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_created', 'Wordpress_create', custom_context) link_tasks(graph, 'PHP_configure', 'Wordpress_php_pre_configure_target', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_php_post_configure_source', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_host_post_configure_source', custom_context) link_tasks(graph, 'PHP_configuring', 'PHP_created', custom_context) link_tasks(graph, 'PHP_host_add_target', 'PHP_started', custom_context) link_tasks(graph, 'Wordpress_initial', 'PHP_started', custom_context) link_tasks(graph, 'Apache_created', 'Apache_create', custom_context) link_tasks(graph, 'PHP_started', 'PHP_start', custom_context) link_tasks(graph, 'PHP_start', 'PHP_starting', custom_context) link_tasks(graph, 'PHP_creating', 'PHP_initial', custom_context) link_tasks(graph, '_a4c_init_PHP', 'PHP_creating', custom_context) link_tasks(graph, 'Apache_initial', 'Server_install', custom_context) link_tasks(graph, 'PHP_initial', 'Server_install', custom_context) link_tasks(graph, 'Apache_configure', 'Wordpress_host_pre_configure_target', custom_context) link_tasks(graph, 'PHP_configured', 'Wordpress_php_post_configure_target', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_database_pre_configure_source', custom_context) link_tasks(graph, 'PHP_create', '_a4c_init_PHP', custom_context) link_tasks(graph, 'Wordpress_create', '_a4c_init_Wordpress', custom_context) link_tasks(graph, 'Apache_create', '_a4c_init_Apache', custom_context) # Subworkflow for host def install_host_database(ctx, graph, custom_context): custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_database_post_configure_target', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.configure', 'Mysql_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_database_post_configure_source', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.start', 'Mysql_start', custom_context) set_state_task(ctx, graph, 'Mysql', 'initial', 'Mysql_initial', custom_context) set_state_task(ctx, graph, 'Mysql', 'creating', 'Mysql_creating', custom_context) set_state_task(ctx, graph, 'Mysql', 'configuring', 'Mysql_configuring', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Mysql_host_add_target', custom_context) set_state_task(ctx, graph, 'Mysql', 'starting', 'Mysql_starting', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_install') relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_database_add_source', custom_context) set_state_task(ctx, graph, 'Mysql', 'started', 'Mysql_started', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_database_add_target', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Mysql_host_pre_configure_source', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.create', 'Mysql_create', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_database_pre_configure_target', custom_context) set_state_task(ctx, graph, 'Mysql', 'configured', 'Mysql_configured', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Mysql_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'Mysql', 'created', 'Mysql_created', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_database_pre_configure_source', custom_context) operation_task(ctx, graph, 'Mysql', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Mysql', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'install') link_tasks(graph, 'Mysql_configured', 'Wordpress_database_post_configure_target', custom_context) link_tasks(graph, 'Mysql_configured', 'Mysql_configure', custom_context) link_tasks(graph, 'Mysql_host_post_configure_source', 'Mysql_configure', custom_context) link_tasks(graph, 'Wordpress_database_post_configure_target', 'Mysql_configure', custom_context) link_tasks(graph, 'Mysql_started', 'Mysql_start', custom_context) link_tasks(graph, 'Mysql_creating', 'Mysql_initial', custom_context) link_tasks(graph, '_a4c_init_Mysql', 'Mysql_creating', custom_context) link_tasks(graph, 'Wordpress_database_pre_configure_target', 'Mysql_configuring', custom_context) link_tasks(graph, 'Mysql_configure', 'Mysql_configuring', custom_context) link_tasks(graph, 'Mysql_host_pre_configure_source', 'Mysql_configuring', custom_context) link_tasks(graph, 'Mysql_start', 'Mysql_starting', custom_context) link_tasks(graph, 'Mysql_initial', 'DataBase_install', custom_context) link_tasks(graph, 'Mysql_host_add_target', 'Mysql_started', custom_context) link_tasks(graph, 'Mysql_configure', 'Mysql_host_pre_configure_source', custom_context) link_tasks(graph, 'Mysql_created', 'Mysql_create', custom_context) link_tasks(graph, 'Mysql_configure', 'Wordpress_database_pre_configure_target', custom_context) link_tasks(graph, 'Mysql_starting', 'Mysql_configured', custom_context) link_tasks(graph, 'Mysql_configured', 'Mysql_host_post_configure_source', custom_context) link_tasks(graph, 'Mysql_configuring', 'Mysql_created', custom_context) link_tasks(graph, 'Mysql_create', '_a4c_init_Mysql', custom_context) # Subworkflow for host def install_host_netpub(ctx, graph, custom_context): custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_install') generate_native_node_workflows(ctx, graph, custom_context, 'install') # Subworkflow for host def uninstall_host_server(ctx, graph, custom_context): custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Apache') relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_php_remove_source', custom_context) set_state_task(ctx, graph, 'Wordpress', 'deleted', 'Wordpress_deleted', custom_context) set_state_task(ctx, graph, 'Apache', 'stopped', 'Apache_stopped', custom_context) set_state_task(ctx, graph, 'Apache', 'stopping', 'Apache_stopping', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.stop', 'Wordpress_stop', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Apache_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_php_remove_target', custom_context) set_state_task(ctx, graph, 'PHP', 'stopping', 'PHP_stopping', custom_context) set_state_task(ctx, graph, 'PHP', 'deleted', 'PHP_deleted', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopped', 'Wordpress_stopped', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.delete', 'PHP_delete', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_host_remove_target', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.delete', 'Apache_delete', custom_context) set_state_task(ctx, graph, 'Wordpress', 'deleting', 'Wordpress_deleting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_database_remove_source', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.stop', 'PHP_stop', custom_context) set_state_task(ctx, graph, 'Apache', 'deleting', 'Apache_deleting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_database_remove_target', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'PHP_host_remove_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopping', 'Wordpress_stopping', custom_context) set_state_task(ctx, graph, 'PHP', 'deleting', 'PHP_deleting', custom_context) set_state_task(ctx, graph, 'PHP', 'stopped', 'PHP_stopped', custom_context) custom_context.register_native_delegate_wf_step('Server', 'Server_uninstall') relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_host_remove_source', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.stop', 'Apache_stop', custom_context) set_state_task(ctx, graph, 'Apache', 'deleted', 'Apache_deleted', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.delete', 'Wordpress_delete', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_source', custom_context) link_tasks(graph, 'Apache_stopping', 'Wordpress_deleted', custom_context) link_tasks(graph, 'PHP_stopping', 'Wordpress_deleted', custom_context) link_tasks(graph, 'Apache_deleting', 'Apache_stopped', custom_context) link_tasks(graph, 'Apache_stop', 'Apache_stopping', custom_context) link_tasks(graph, 'Wordpress_stopped', 'Wordpress_stop', custom_context) link_tasks(graph, 'Apache_stopping', 'Apache_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_target', custom_context) link_tasks(graph, 'PHP_stop', 'PHP_stopping', custom_context) link_tasks(graph, 'Server_uninstall', 'PHP_deleted', custom_context) link_tasks(graph, 'Wordpress_deleting', 'Wordpress_stopped', custom_context) link_tasks(graph, 'PHP_deleted', 'PHP_delete', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_target', custom_context) link_tasks(graph, 'Apache_deleted', 'Apache_delete', custom_context) link_tasks(graph, 'Wordpress_delete', 'Wordpress_deleting', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_source', custom_context) link_tasks(graph, 'PHP_stopped', 'PHP_stop', custom_context) link_tasks(graph, 'Apache_delete', 'Apache_deleting', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_target', custom_context) link_tasks(graph, 'PHP_stopping', 'PHP_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stop', 'Wordpress_stopping', custom_context) link_tasks(graph, 'PHP_delete', 'PHP_deleting', custom_context) link_tasks(graph, 'PHP_deleting', 'PHP_stopped', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_source', custom_context) link_tasks(graph, 'Apache_stopped', 'Apache_stop', custom_context) link_tasks(graph, 'Server_uninstall', 'Apache_deleted', custom_context) link_tasks(graph, 'Wordpress_deleted', 'Wordpress_delete', custom_context) # Subworkflow for host def uninstall_host_database(ctx, graph, custom_context): custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.delete', 'Mysql_delete', custom_context) set_state_task(ctx, graph, 'Mysql', 'stopping', 'Mysql_stopping', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Mysql_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_database_remove_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_database_remove_target', custom_context) set_state_task(ctx, graph, 'Mysql', 'deleting', 'Mysql_deleting', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.stop', 'Mysql_stop', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_uninstall') set_state_task(ctx, graph, 'Mysql', 'stopped', 'Mysql_stopped', custom_context) set_state_task(ctx, graph, 'Mysql', 'deleted', 'Mysql_deleted', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') link_tasks(graph, 'Mysql_deleted', 'Mysql_delete', custom_context) link_tasks(graph, 'Mysql_stop', 'Mysql_stopping', custom_context) link_tasks(graph, 'Mysql_stopping', 'Mysql_host_remove_target', custom_context) link_tasks(graph, 'Mysql_delete', 'Mysql_deleting', custom_context) link_tasks(graph, 'Mysql_stopped', 'Mysql_stop', custom_context) link_tasks(graph, 'Mysql_deleting', 'Mysql_stopped', custom_context) link_tasks(graph, 'DataBase_uninstall', 'Mysql_deleted', custom_context) # Subworkflow for host def uninstall_host_netpub(ctx, graph, custom_context): custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_uninstall') generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') def install_host(ctx, graph, custom_context, compute): options = {} options['Server'] = install_host_server options['DataBase'] = install_host_database options['NetPub'] = install_host_netpub options[compute](ctx, graph, custom_context) def uninstall_host(ctx, graph, custom_context, compute): options = {} options['Server'] = uninstall_host_server options['DataBase'] = uninstall_host_database options['NetPub'] = uninstall_host_netpub options[compute](ctx, graph, custom_context) @workflow def a4c_install(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('install'))) _a4c_install(ctx, graph, custom_context) return graph.execute() @workflow def a4c_uninstall(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('uninstall'))) _a4c_uninstall(ctx, graph, custom_context) return graph.execute() @workflow def a4c_start(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('start'))) _a4c_start(ctx, graph, custom_context) return graph.execute() @workflow def a4c_stop(**kwargs): graph = ctx.graph_mode() nodes = _get_all_nodes(ctx) instances = _get_all_nodes_instances(ctx) custom_context = CustomContext(ctx, instances, nodes) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('stop'))) _a4c_stop(ctx, graph, custom_context) return graph.execute() def _a4c_install(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Mysql') set_state_task(ctx, graph, 'Apache', 'created', 'Apache_created', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'PHP_host_pre_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'started', 'Apache_started', custom_context) set_state_task(ctx, graph, 'Apache', 'configured', 'Apache_configured', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_database_post_configure_target', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'PHP_host_add_target', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.start', 'Wordpress_start', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.configure', 'Mysql_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_database_post_configure_source', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.start', 'Mysql_start', custom_context) set_state_task(ctx, graph, 'Mysql', 'initial', 'Mysql_initial', custom_context) set_state_task(ctx, graph, 'Mysql', 'creating', 'Mysql_creating', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.configure', 'PHP_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_host_add_target', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.configure', 'Wordpress_configure', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_host_pre_configure_source', custom_context) set_state_task(ctx, graph, 'Mysql', 'configuring', 'Mysql_configuring', custom_context) set_state_task(ctx, graph, 'Wordpress', 'created', 'Wordpress_created', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Apache_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'initial', 'Apache_initial', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Mysql_host_add_target', custom_context) set_state_task(ctx, graph, 'Mysql', 'starting', 'Mysql_starting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_php_add_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'starting', 'Wordpress_starting', custom_context) custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_install') set_state_task(ctx, graph, 'Apache', 'configuring', 'Apache_configuring', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_install') set_state_task(ctx, graph, 'Wordpress', 'creating', 'Wordpress_creating', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_database_add_source', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.configure', 'Apache_configure', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.create', 'PHP_create', custom_context) set_state_task(ctx, graph, 'Mysql', 'started', 'Mysql_started', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_host_post_configure_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'started', 'Wordpress_started', custom_context) set_state_task(ctx, graph, 'Apache', 'starting', 'Apache_starting', custom_context) set_state_task(ctx, graph, 'PHP', 'configuring', 'PHP_configuring', custom_context) set_state_task(ctx, graph, 'PHP', 'configured', 'PHP_configured', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Apache_host_pre_configure_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_database_add_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_host_add_source', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'PHP_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'Apache', 'creating', 'Apache_creating', custom_context) set_state_task(ctx, graph, 'Wordpress', 'initial', 'Wordpress_initial', custom_context) set_state_task(ctx, graph, 'Wordpress', 'configuring', 'Wordpress_configuring', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.start', 'Apache_start', custom_context) set_state_task(ctx, graph, 'Wordpress', 'configured', 'Wordpress_configured', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_php_pre_configure_source', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.create', 'Wordpress_create', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Mysql_host_pre_configure_source', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.create', 'Mysql_create', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_php_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_database_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_php_post_configure_source', custom_context) set_state_task(ctx, graph, 'Mysql', 'configured', 'Mysql_configured', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Wordpress_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'PHP', 'created', 'PHP_created', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'SOURCE', 'Mysql_host_post_configure_source', custom_context) set_state_task(ctx, graph, 'PHP', 'started', 'PHP_started', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.create', 'Apache_create', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.start', 'PHP_start', custom_context) set_state_task(ctx, graph, 'PHP', 'starting', 'PHP_starting', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Apache_host_add_target', custom_context) set_state_task(ctx, graph, 'PHP', 'initial', 'PHP_initial', custom_context) set_state_task(ctx, graph, 'PHP', 'creating', 'PHP_creating', custom_context) set_state_task(ctx, graph, 'Mysql', 'created', 'Mysql_created', custom_context) custom_context.register_native_delegate_wf_step('Server', 'Server_install') relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'TARGET', 'Wordpress_host_pre_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_php_add_source', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.postconfigure', 'TARGET', 'Wordpress_php_post_configure_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.preconfigure', 'SOURCE', 'Wordpress_database_pre_configure_source', custom_context) operation_task(ctx, graph, 'PHP', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_PHP', custom_context) operation_task(ctx, graph, 'Mysql', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Mysql', custom_context) operation_task(ctx, graph, 'Wordpress', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Wordpress', custom_context) operation_task(ctx, graph, 'Apache', 'org.alien4cloud.interfaces.cfy.lifecycle.NodeInit', '_a4c_init_Apache', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'install') link_tasks(graph, 'Apache_created', 'Apache_create', custom_context) link_tasks(graph, 'PHP_host_pre_configure_source', 'PHP_configuring', custom_context) link_tasks(graph, 'Apache_started', 'Apache_start', custom_context) link_tasks(graph, 'Apache_configured', 'Apache_configure', custom_context) link_tasks(graph, 'Apache_configured', 'Apache_host_post_configure_source', custom_context) link_tasks(graph, 'Apache_configured', 'Wordpress_host_post_configure_target', custom_context) link_tasks(graph, 'Wordpress_database_post_configure_target', 'Mysql_configure', custom_context) link_tasks(graph, 'PHP_host_add_target', 'PHP_started', custom_context) link_tasks(graph, 'Wordpress_start', 'Wordpress_starting', custom_context) link_tasks(graph, 'Mysql_configure', 'Mysql_configuring', custom_context) link_tasks(graph, 'Mysql_configure', 'Wordpress_database_pre_configure_target', custom_context) link_tasks(graph, 'Mysql_configure', 'Mysql_host_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_database_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'Mysql_start', 'Mysql_starting', custom_context) link_tasks(graph, 'Mysql_initial', 'DataBase_install', custom_context) link_tasks(graph, 'Mysql_creating', 'Mysql_initial', custom_context) link_tasks(graph, 'PHP_configure', 'PHP_host_pre_configure_source', custom_context) link_tasks(graph, 'PHP_configure', 'Wordpress_php_pre_configure_target', custom_context) link_tasks(graph, 'PHP_configure', 'PHP_configuring', custom_context) link_tasks(graph, 'Wordpress_host_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_php_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_host_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Wordpress_configure', 'Wordpress_database_pre_configure_source', custom_context) link_tasks(graph, 'Wordpress_host_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Mysql_configuring', 'Mysql_created', custom_context) link_tasks(graph, 'Wordpress_created', 'Wordpress_create', custom_context) link_tasks(graph, 'Apache_host_post_configure_source', 'Apache_configure', custom_context) link_tasks(graph, 'Apache_initial', 'Server_install', custom_context) link_tasks(graph, 'Mysql_host_add_target', 'Mysql_started', custom_context) link_tasks(graph, 'Mysql_starting', 'Mysql_configured', custom_context) link_tasks(graph, 'Wordpress_php_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_starting', 'Wordpress_configured', custom_context) link_tasks(graph, 'Apache_configuring', 'Apache_created', custom_context) link_tasks(graph, 'Wordpress_creating', 'Wordpress_initial', custom_context) link_tasks(graph, 'Wordpress_database_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Apache_configure', 'Apache_configuring', custom_context) link_tasks(graph, 'Apache_configure', 'Wordpress_host_pre_configure_target', custom_context) link_tasks(graph, 'Apache_configure', 'Apache_host_pre_configure_source', custom_context) link_tasks(graph, 'PHP_create', '_a4c_init_PHP', custom_context) link_tasks(graph, 'Mysql_started', 'Mysql_start', custom_context) link_tasks(graph, 'Wordpress_host_post_configure_target', 'Apache_configure', custom_context) link_tasks(graph, 'Wordpress_started', 'Wordpress_start', custom_context) link_tasks(graph, 'Apache_starting', 'Apache_configured', custom_context) link_tasks(graph, 'PHP_configuring', 'PHP_created', custom_context) link_tasks(graph, 'PHP_configured', 'PHP_configure', custom_context) link_tasks(graph, 'PHP_configured', 'PHP_host_post_configure_source', custom_context) link_tasks(graph, 'PHP_configured', 'Wordpress_php_post_configure_target', custom_context) link_tasks(graph, 'Apache_host_pre_configure_source', 'Apache_configuring', custom_context) link_tasks(graph, 'Wordpress_database_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_host_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'PHP_host_post_configure_source', 'PHP_configure', custom_context) link_tasks(graph, 'Apache_creating', 'Apache_initial', custom_context) link_tasks(graph, 'Wordpress_initial', 'Apache_started', custom_context) link_tasks(graph, 'Wordpress_initial', 'Mysql_started', custom_context) link_tasks(graph, 'Wordpress_initial', 'PHP_started', custom_context) link_tasks(graph, 'Wordpress_configuring', 'Wordpress_created', custom_context) link_tasks(graph, 'Apache_start', 'Apache_starting', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_host_post_configure_source', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_configure', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_php_post_configure_source', custom_context) link_tasks(graph, 'Wordpress_configured', 'Wordpress_database_post_configure_source', custom_context) link_tasks(graph, 'Wordpress_php_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, 'Wordpress_create', '_a4c_init_Wordpress', custom_context) link_tasks(graph, 'Mysql_host_pre_configure_source', 'Mysql_configuring', custom_context) link_tasks(graph, 'Mysql_create', '_a4c_init_Mysql', custom_context) link_tasks(graph, 'Wordpress_php_pre_configure_target', 'PHP_configuring', custom_context) link_tasks(graph, 'Wordpress_database_pre_configure_target', 'Mysql_configuring', custom_context) link_tasks(graph, 'Wordpress_php_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'Mysql_configured', 'Mysql_host_post_configure_source', custom_context) link_tasks(graph, 'Mysql_configured', 'Wordpress_database_post_configure_target', custom_context) link_tasks(graph, 'Mysql_configured', 'Mysql_configure', custom_context) link_tasks(graph, 'Wordpress_host_post_configure_source', 'Wordpress_configure', custom_context) link_tasks(graph, 'PHP_created', 'PHP_create', custom_context) link_tasks(graph, 'Mysql_host_post_configure_source', 'Mysql_configure', custom_context) link_tasks(graph, 'PHP_started', 'PHP_start', custom_context) link_tasks(graph, 'Apache_create', '_a4c_init_Apache', custom_context) link_tasks(graph, 'PHP_start', 'PHP_starting', custom_context) link_tasks(graph, 'PHP_starting', 'PHP_configured', custom_context) link_tasks(graph, 'Apache_host_add_target', 'Apache_started', custom_context) link_tasks(graph, 'PHP_initial', 'Server_install', custom_context) link_tasks(graph, 'PHP_creating', 'PHP_initial', custom_context) link_tasks(graph, 'Mysql_created', 'Mysql_create', custom_context) link_tasks(graph, 'Wordpress_host_pre_configure_target', 'Apache_configuring', custom_context) link_tasks(graph, 'Wordpress_php_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_php_post_configure_target', 'PHP_configure', custom_context) link_tasks(graph, 'Wordpress_database_pre_configure_source', 'Wordpress_configuring', custom_context) link_tasks(graph, '_a4c_init_PHP', 'PHP_creating', custom_context) link_tasks(graph, '_a4c_init_Mysql', 'Mysql_creating', custom_context) link_tasks(graph, '_a4c_init_Wordpress', 'Wordpress_creating', custom_context) link_tasks(graph, '_a4c_init_Apache', 'Apache_creating', custom_context) def _a4c_uninstall(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Mysql') relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_php_remove_source', custom_context) set_state_task(ctx, graph, 'Wordpress', 'deleted', 'Wordpress_deleted', custom_context) set_state_task(ctx, graph, 'Apache', 'stopped', 'Apache_stopped', custom_context) set_state_task(ctx, graph, 'Apache', 'stopping', 'Apache_stopping', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.stop', 'Wordpress_stop', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.delete', 'Mysql_delete', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Apache_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_php_remove_target', custom_context) set_state_task(ctx, graph, 'PHP', 'stopping', 'PHP_stopping', custom_context) custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_uninstall') set_state_task(ctx, graph, 'PHP', 'deleted', 'PHP_deleted', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopped', 'Wordpress_stopped', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.delete', 'PHP_delete', custom_context) set_state_task(ctx, graph, 'Mysql', 'stopping', 'Mysql_stopping', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Mysql_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_host_remove_target', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.delete', 'Apache_delete', custom_context) set_state_task(ctx, graph, 'Wordpress', 'deleting', 'Wordpress_deleting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_database_remove_source', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.stop', 'PHP_stop', custom_context) set_state_task(ctx, graph, 'Apache', 'deleting', 'Apache_deleting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_database_remove_target', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'PHP_host_remove_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopping', 'Wordpress_stopping', custom_context) set_state_task(ctx, graph, 'PHP', 'deleting', 'PHP_deleting', custom_context) set_state_task(ctx, graph, 'Mysql', 'deleting', 'Mysql_deleting', custom_context) set_state_task(ctx, graph, 'PHP', 'stopped', 'PHP_stopped', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.stop', 'Mysql_stop', custom_context) custom_context.register_native_delegate_wf_step('Server', 'Server_uninstall') relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_host_remove_source', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.stop', 'Apache_stop', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_uninstall') set_state_task(ctx, graph, 'Mysql', 'stopped', 'Mysql_stopped', custom_context) set_state_task(ctx, graph, 'Apache', 'deleted', 'Apache_deleted', custom_context) set_state_task(ctx, graph, 'Mysql', 'deleted', 'Mysql_deleted', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.delete', 'Wordpress_delete', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'uninstall') link_tasks(graph, 'Wordpress_deleted', 'Wordpress_delete', custom_context) link_tasks(graph, 'Apache_stopped', 'Apache_stop', custom_context) link_tasks(graph, 'Apache_stopping', 'Wordpress_deleted', custom_context) link_tasks(graph, 'Apache_stopping', 'Apache_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stop', 'Wordpress_stopping', custom_context) link_tasks(graph, 'Mysql_delete', 'Mysql_deleting', custom_context) link_tasks(graph, 'PHP_stopping', 'PHP_host_remove_target', custom_context) link_tasks(graph, 'PHP_stopping', 'Wordpress_deleted', custom_context) link_tasks(graph, 'PHP_deleted', 'PHP_delete', custom_context) link_tasks(graph, 'Wordpress_stopped', 'Wordpress_stop', custom_context) link_tasks(graph, 'PHP_delete', 'PHP_deleting', custom_context) link_tasks(graph, 'Mysql_stopping', 'Wordpress_deleted', custom_context) link_tasks(graph, 'Mysql_stopping', 'Mysql_host_remove_target', custom_context) link_tasks(graph, 'Apache_delete', 'Apache_deleting', custom_context) link_tasks(graph, 'Wordpress_deleting', 'Wordpress_stopped', custom_context) link_tasks(graph, 'PHP_stop', 'PHP_stopping', custom_context) link_tasks(graph, 'Apache_deleting', 'Apache_stopped', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_target', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_target', custom_context) link_tasks(graph, 'PHP_deleting', 'PHP_stopped', custom_context) link_tasks(graph, 'Mysql_deleting', 'Mysql_stopped', custom_context) link_tasks(graph, 'PHP_stopped', 'PHP_stop', custom_context) link_tasks(graph, 'Mysql_stop', 'Mysql_stopping', custom_context) link_tasks(graph, 'Server_uninstall', 'Apache_deleted', custom_context) link_tasks(graph, 'Server_uninstall', 'PHP_deleted', custom_context) link_tasks(graph, 'Apache_stop', 'Apache_stopping', custom_context) link_tasks(graph, 'DataBase_uninstall', 'Mysql_deleted', custom_context) link_tasks(graph, 'Mysql_stopped', 'Mysql_stop', custom_context) link_tasks(graph, 'Apache_deleted', 'Apache_delete', custom_context) link_tasks(graph, 'Mysql_deleted', 'Mysql_delete', custom_context) link_tasks(graph, 'Wordpress_delete', 'Wordpress_deleting', custom_context) def _a4c_start(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Wordpress') set_state_task(ctx, graph, 'Apache', 'started', 'Apache_started', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_database_add_source', custom_context) set_state_task(ctx, graph, 'Mysql', 'started', 'Mysql_started', custom_context) set_state_task(ctx, graph, 'PHP', 'started', 'PHP_started', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_start') relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'PHP_host_add_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'started', 'Wordpress_started', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.start', 'Wordpress_start', custom_context) set_state_task(ctx, graph, 'Apache', 'starting', 'Apache_starting', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.start', 'PHP_start', custom_context) set_state_task(ctx, graph, 'PHP', 'starting', 'PHP_starting', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Apache_host_add_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_database_add_target', custom_context) operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.start', 'Mysql_start', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_host_add_source', custom_context) custom_context.register_native_delegate_wf_step('Server', 'Server_start') relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_host_add_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'TARGET', 'Wordpress_php_add_source', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Mysql_host_add_target', custom_context) custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_start') operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.start', 'Apache_start', custom_context) set_state_task(ctx, graph, 'Mysql', 'starting', 'Mysql_starting', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.establish', 'SOURCE', 'Wordpress_php_add_target', custom_context) set_state_task(ctx, graph, 'Wordpress', 'starting', 'Wordpress_starting', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'start') link_tasks(graph, 'Apache_started', 'Apache_start', custom_context) link_tasks(graph, 'Wordpress_database_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Mysql_started', 'Mysql_start', custom_context) link_tasks(graph, 'PHP_started', 'PHP_start', custom_context) link_tasks(graph, 'PHP_host_add_target', 'PHP_started', custom_context) link_tasks(graph, 'Wordpress_started', 'Wordpress_start', custom_context) link_tasks(graph, 'Wordpress_start', 'Wordpress_starting', custom_context) link_tasks(graph, 'Apache_starting', 'Server_start', custom_context) link_tasks(graph, 'PHP_start', 'PHP_starting', custom_context) link_tasks(graph, 'PHP_starting', 'Server_start', custom_context) link_tasks(graph, 'Apache_host_add_target', 'Apache_started', custom_context) link_tasks(graph, 'Wordpress_database_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Mysql_start', 'Mysql_starting', custom_context) link_tasks(graph, 'Wordpress_host_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_host_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_php_add_source', 'Wordpress_started', custom_context) link_tasks(graph, 'Mysql_host_add_target', 'Mysql_started', custom_context) link_tasks(graph, 'Apache_start', 'Apache_starting', custom_context) link_tasks(graph, 'Mysql_starting', 'DataBase_start', custom_context) link_tasks(graph, 'Wordpress_php_add_target', 'Wordpress_started', custom_context) link_tasks(graph, 'Wordpress_starting', 'Apache_started', custom_context) link_tasks(graph, 'Wordpress_starting', 'Mysql_started', custom_context) link_tasks(graph, 'Wordpress_starting', 'PHP_started', custom_context) def _a4c_stop(ctx, graph, custom_context): # following code can be pasted in src/test/python/workflows/tasks.py for simulation custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Apache') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('PHP') custom_context.add_customized_wf_node('Wordpress') custom_context.add_customized_wf_node('Mysql') custom_context.add_customized_wf_node('Mysql') relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_database_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_php_remove_source', custom_context) relationship_operation_task(ctx, graph, 'PHP', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'PHP_host_remove_target', custom_context) set_state_task(ctx, graph, 'Apache', 'stopped', 'Apache_stopped', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopping', 'Wordpress_stopping', custom_context) set_state_task(ctx, graph, 'Apache', 'stopping', 'Apache_stopping', custom_context) operation_task(ctx, graph, 'Wordpress', 'cloudify.interfaces.lifecycle.stop', 'Wordpress_stop', custom_context) set_state_task(ctx, graph, 'PHP', 'stopped', 'PHP_stopped', custom_context) relationship_operation_task(ctx, graph, 'Apache', 'Server', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Apache_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'PHP', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_php_remove_target', custom_context) set_state_task(ctx, graph, 'PHP', 'stopping', 'PHP_stopping', custom_context) custom_context.register_native_delegate_wf_step('NetPub', 'NetPub_stop') custom_context.register_native_delegate_wf_step('Server', 'Server_stop') operation_task(ctx, graph, 'Mysql', 'cloudify.interfaces.lifecycle.stop', 'Mysql_stop', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_host_remove_source', custom_context) set_state_task(ctx, graph, 'Wordpress', 'stopped', 'Wordpress_stopped', custom_context) operation_task(ctx, graph, 'Apache', 'cloudify.interfaces.lifecycle.stop', 'Apache_stop', custom_context) set_state_task(ctx, graph, 'Mysql', 'stopped', 'Mysql_stopped', custom_context) set_state_task(ctx, graph, 'Mysql', 'stopping', 'Mysql_stopping', custom_context) relationship_operation_task(ctx, graph, 'Mysql', 'DataBase', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Mysql_host_remove_target', custom_context) relationship_operation_task(ctx, graph, 'Wordpress', 'Apache', 'cloudify.interfaces.relationship_lifecycle.unlink', 'SOURCE', 'Wordpress_host_remove_target', custom_context) custom_context.register_native_delegate_wf_step('DataBase', 'DataBase_stop') relationship_operation_task(ctx, graph, 'Wordpress', 'Mysql', 'cloudify.interfaces.relationship_lifecycle.unlink', 'TARGET', 'Wordpress_database_remove_source', custom_context) operation_task(ctx, graph, 'PHP', 'cloudify.interfaces.lifecycle.stop', 'PHP_stop', custom_context) generate_native_node_workflows(ctx, graph, custom_context, 'stop') link_tasks(graph, 'Apache_stopped', 'Apache_stop', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_target', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_database_remove_source', custom_context) link_tasks(graph, 'Wordpress_stopping', 'Wordpress_php_remove_target', custom_context) link_tasks(graph, 'Apache_stopping', 'Wordpress_stopped', custom_context) link_tasks(graph, 'Apache_stopping', 'Apache_host_remove_target', custom_context) link_tasks(graph, 'Wordpress_stop', 'Wordpress_stopping', custom_context) link_tasks(graph, 'PHP_stopped', 'PHP_stop', custom_context) link_tasks(graph, 'PHP_stopping', 'Wordpress_stopped', custom_context) link_tasks(graph, 'PHP_stopping', 'PHP_host_remove_target', custom_context) link_tasks(graph, 'Server_stop', 'Apache_stopped', custom_context) link_tasks(graph, 'Server_stop', 'PHP_stopped', custom_context) link_tasks(graph, 'Mysql_stop', 'Mysql_stopping', custom_context) link_tasks(graph, 'Wordpress_stopped', 'Wordpress_stop', custom_context) link_tasks(graph, 'Apache_stop', 'Apache_stopping', custom_context) link_tasks(graph, 'Mysql_stopped', 'Mysql_stop', custom_context) link_tasks(graph, 'Mysql_stopping', 'Wordpress_stopped', custom_context) link_tasks(graph, 'Mysql_stopping', 'Mysql_host_remove_target', custom_context) link_tasks(graph, 'DataBase_stop', 'Mysql_stopped', custom_context) link_tasks(graph, 'PHP_stop', 'PHP_stopping', custom_context) def _get_scaling_group_name_from_node_id(ctx, node_id): scaling_groups=ctx.deployment.scaling_groups for group_name, scaling_group in ctx.deployment.scaling_groups.iteritems(): for member in scaling_group['members']: if member == node_id: ctx.logger.info("Node {} found in scaling group {}".format(node_id, group_name)) return group_name return None @workflow def a4c_scale(ctx, node_id, delta, scale_compute, **kwargs): delta = int(delta) scalable_entity_name = _get_scaling_group_name_from_node_id(ctx, node_id) scaling_group = ctx.deployment.scaling_groups.get(scalable_entity_name) if scalable_entity_name: curr_num_instances = scaling_group['properties']['current_instances'] planned_num_instances = curr_num_instances + delta scale_id = scalable_entity_name else: scaled_node = ctx.get_node(node_id) if not scaled_node: raise ValueError("Node {0} doesn't exist".format(scalable_entity_name)) if not is_host_node(scaled_node) and not is_kubernetes_node(scaled_node): raise ValueError("Node {0} is not a host. This workflow can only scale hosts".format(scalable_entity_name)) if delta == 0: ctx.logger.info('delta parameter is 0, so no scaling will take place.') return curr_num_instances = scaled_node.number_of_instances planned_num_instances = curr_num_instances + delta scale_id = scaled_node.id scalable_entity_name = scale_id if planned_num_instances < 1: raise ValueError('Provided delta: {0} is illegal. current number of' 'instances of node/group {1} is {2}' .format(delta, scalable_entity_name, curr_num_instances)) modification = ctx.deployment.start_modification({ scale_id: { 'instances': planned_num_instances } }) ctx.logger.info('Deployment modification started. [modification_id={0} : {1}]'.format(modification.id, dir(modification))) try: if delta > 0: ctx.logger.info('Scaling host/group {0} adding {1} instances'.format(scalable_entity_name, delta)) added_and_related = _get_all_nodes(modification.added) added = _get_all_modified_node_instances(added_and_related, 'added') graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('scale', 'install'))) custom_context = CustomContext(ctx, added, added_and_related) install_host(ctx, graph, custom_context, node_id) try: graph.execute() except: ctx.logger.error('Scale failed. Uninstalling node/group {0}'.format(scalable_entity_name)) graph = ctx.internal.task_graph for task in graph.tasks_iter(): graph.remove_task(task) try: custom_context = CustomContext(ctx, added, added_and_related) uninstall_host(ctx, graph, custom_context, scalable_entity_name) graph.execute() except: ctx.logger.error('Node {0} uninstallation following scale failure has failed'.format(scalable_entity_name)) raise else: ctx.logger.info('Unscaling host/group {0} removing {1} instances'.format(scalable_entity_name, delta)) removed_and_related = _get_all_nodes(modification.removed) removed = _get_all_modified_node_instances(removed_and_related, 'removed') graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('scale', 'uninstall'))) custom_context = CustomContext(ctx, removed, removed_and_related) uninstall_host(ctx, graph, custom_context, node_id) try: graph.execute() except: ctx.logger.error('Unscale failed.') raise except: ctx.logger.warn('Rolling back deployment modification. [modification_id={0}]'.format(modification.id)) try: modification.rollback() except: ctx.logger.warn('Deployment modification rollback failed. The ' 'deployment model is most likely in some corrupted' ' state.' '[modification_id={0}]'.format(modification.id)) raise raise else: try: modification.finish() except: ctx.logger.warn('Deployment modification finish failed. The ' 'deployment model is most likely in some corrupted' ' state.' '[modification_id={0}]'.format(modification.id)) raise @workflow def a4c_heal( ctx, node_instance_id, diagnose_value='Not provided', **kwargs): """Reinstalls the whole subgraph of the system topology The subgraph consists of all the nodes that are hosted in the failing node's compute and the compute itself. Additionally it unlinks and establishes appropriate relationships :param ctx: cloudify context :param node_id: failing node's id :param diagnose_value: diagnosed reason of failure """ ctx.logger.info("Starting 'heal' workflow on {0}, Diagnosis: {1}" .format(node_instance_id, diagnose_value)) failing_node = ctx.get_node_instance(node_instance_id) host_instance_id = failing_node._node_instance.host_id failing_node_host = ctx.get_node_instance(host_instance_id) node_id = failing_node_host.node_id subgraph_node_instances = failing_node_host.get_contained_subgraph() added_and_related = _get_all_nodes(ctx) try: graph = ctx.graph_mode() ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('heal', 'uninstall'))) custom_context = CustomContext(ctx, subgraph_node_instances, added_and_related) uninstall_host(ctx, graph, custom_context, node_id) graph.execute() except: ctx.logger.error('Uninstall while healing failed.') graph = ctx.internal.task_graph for task in graph.tasks_iter(): graph.remove_task(task) ctx.internal.send_workflow_event(event_type='a4c_workflow_started', message=build_pre_event(WfStartEvent('heal', 'install'))) custom_context = CustomContext(ctx, subgraph_node_instances, added_and_related) install_host(ctx, graph, custom_context, node_id) graph.execute() #following code can be pasted in src/test/python/workflows/context.py for simulation #def _build_nodes(ctx): #types = [] #types.append('alien.cloudify.aws.nodes.Compute') #types.append('tosca.nodes.Compute') #types.append('tosca.nodes.Root') #node_Server = _build_node(ctx, 'Server', types, 1) #types = [] #types.append('org.alien4cloud.nodes.Wordpress') #types.append('tosca.nodes.WebApplication') #types.append('tosca.nodes.Root') #node_Wordpress = _build_node(ctx, 'Wordpress', types, 1) #types = [] #types.append('org.alien4cloud.nodes.Mysql') #types.append('org.alien4cloud.nodes.AbstractMysql') #types.append('tosca.nodes.Database') #types.append('tosca.nodes.Root') #node_Mysql = _build_node(ctx, 'Mysql', types, 1) #types = [] #types.append('org.alien4cloud.nodes.PHP') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_PHP = _build_node(ctx, 'PHP', types, 1) #types = [] #types.append('org.alien4cloud.nodes.Apache') #types.append('tosca.nodes.WebServer') #types.append('tosca.nodes.SoftwareComponent') #types.append('tosca.nodes.Root') #node_Apache = _build_node(ctx, 'Apache', types, 1) #types = [] #types.append('alien.nodes.aws.PublicNetwork') #types.append('alien.nodes.PublicNetwork') #types.append('tosca.nodes.Network') #types.append('tosca.nodes.Root') #node_NetPub = _build_node(ctx, 'NetPub', types, 1) #types = [] #types.append('alien.cloudify.aws.nodes.Compute') #types.append('tosca.nodes.Compute') #types.append('tosca.nodes.Root') #node_DataBase = _build_node(ctx, 'DataBase', types, 1) #_add_relationship(node_Server, node_NetPub) #_add_relationship(node_Wordpress, node_Apache) #_add_relationship(node_Wordpress, node_Mysql) #_add_relationship(node_Wordpress, node_PHP) #_add_relationship(node_Mysql, node_DataBase) #_add_relationship(node_PHP, node_Server) #_add_relationship(node_Apache, node_Server)

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6.039094

0.024354

0.165093

0.073296

0.112066

0.941827

0.934716

0.921027

0.917471

0.904701

0.897485

0

0.001267

0.109761

78,024

992

196

78.653226

0.812698

0.033003

0

0.843645

0

0.386051

0.18931

0

1

0.021372

false

0

0.017998

0

0.047244

0

null

0

1

0

1

0

null

0

7

259c82722265c0170eb3122613d161ae83a14e8b

2,625

py

Python

tests/features/steps/shell-wrapper.py

82ndAirborneDiv/geneflow2

521544adbae1221d2d80496016548670ce5391c1

[ "Apache-2.0" ]

7

2019-04-11T03:50:51.000Z

2020-03-27T15:59:04.000Z

tests/features/steps/shell-wrapper.py

82ndAirborneDiv/geneflow2

521544adbae1221d2d80496016548670ce5391c1

[ "Apache-2.0" ]

1

2019-05-06T14:18:42.000Z

2019-05-08T22:06:12.000Z

tests/features/steps/shell-wrapper.py

82ndAirborneDiv/geneflow2

521544adbae1221d2d80496016548670ce5391c1

[ "Apache-2.0" ]

6

2019-04-10T20:25:27.000Z

2021-12-16T15:59:59.000Z

import os from pprint import pprint import sys from geneflow.shell_wrapper import ShellWrapper @given('I create a "{shell}" Shell instance') def step_impl(context, shell): context.shell[shell] = {} context.shell[shell]['shell'] = ShellWrapper() @when('I run the invoke method for the "{shell}" Shell instance with a valid argument') def step_impl(context, shell): context.shell[shell]['invoke_correct_result'] = context.shell[shell]['shell'].invoke("echo 'Hello World!'") @then('I see a valid response for invoke method of the "{shell}" Shell instance') def step_impl(context, shell): assert context.shell[shell]['invoke_correct_result'] == b'Hello World!\n' @when('I run the invoke method for the "{shell}" Shell instance with an invalid argument') def step_impl(context, shell): context.shell[shell]['invoke_incorrect_result'] = context.shell[shell]['shell'].invoke("echo-invalid 'Hello World!'") @then('I see a False return value for the invoke method of the "{shell}" Shell instance') def step_impl(context, shell): assert context.shell[shell]['invoke_incorrect_result'] == False @when('I run the spawn method for the "{shell}" Shell instance with a valid argument') def step_impl(context, shell): context.shell[shell]['spawn_proc'] = context.shell[shell]['shell'].spawn("sleep 30") @then('I see a valid response for the spawn method of the "{shell}" Shell instance') def step_impl(context, shell): assert context.shell[shell]['spawn_proc'] context.shell[shell]['spawn_proc'].wait() assert context.shell[shell]['spawn_proc'].returncode == 0 @when('I run the spawn method for the "{shell}" Shell instance with an invalid argument') def step_impl(context, shell): context.shell[shell]['spawn_proc'] = context.shell[shell]['shell'].spawn("sleep-invalid 30") @then('I see a negative result for the spawn method of the "{shell}" Shell instance') def step_impl(context, shell): if context.shell[shell]['spawn_proc']: # valid process, check return value context.shell[shell]['spawn_proc'].wait() assert context.shell[shell]['spawn_proc'].returncode != 0 else: assert context.shell[shell]['spawn_proc'] == False @when('I call the is_running method for the "{shell}" Shell instance') def step_impl(context, shell): context.shell[shell]['process_status'] = context.shell[shell]['shell'].is_running(context.shell[shell]['spawn_proc']) @then('I see a value of True returned for is_running method of the "{shell}" Shell instance') def step_impl(context, shell): assert context.shell[shell]['process_status'] == True

36.458333

121

0.717333

382

2,625

4.837696

0.164921

0.21645

0.21158

0.107143

0.821429

0.772186

0.710498

0.643939

0.639069

0.637446

0

0.002662

0.141333

2,625

71

122

36.971831

0.817214

0.012571

0

0.295455

0

0.436244

0.034003

0

0.159091

1

0.25

false

0

0.090909

0

0.340909

0.022727

0

null

1

0

1

0

1

0

null

0

1

0

7

25af26b3d99d6dec9782b4da310bb10a8fca0dc4

29,610

py

Python

modelling/information/single_period_information_pb2.py

nareshram256/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

9

2020-04-24T14:34:16.000Z

2022-01-25T07:16:03.000Z

modelling/information/single_period_information_pb2.py

casemsee/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

null

modelling/information/single_period_information_pb2.py

casemsee/EnergyManagementSystem

2a48ba3b9bf7ff3003c197ee43ea9efbfbe42baa

[ "MIT" ]

7

2019-09-19T13:26:02.000Z

2021-11-27T09:53:54.000Z

# Generated by the protocol buffer compiler. DO NOT EDIT! # source: single_period_information.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database from google.protobuf import descriptor_pb2 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() DESCRIPTOR = _descriptor.FileDescriptor( name='single_period_information.proto', package='', syntax='proto3', serialized_pb=_b('\n\x1fsingle_period_information.proto\"\xf9\t\n\tmicrogrid\x12\x0c\n\x04\x41REA\x18\x01 \x01(\x05\x12\x12\n\nTIME_STAMP\x18\x02 \x01(\x05\x12\x1d\n\x02\x64g\x18\x03 \x03(\x0b\x32\x11.microgrid.DgType\x12\x1f\n\x03\x65ss\x18\x04 \x03(\x0b\x32\x12.microgrid.EssType\x12\x1d\n\x02pv\x18\x05 \x03(\x0b\x32\x11.microgrid.PvType\x12\x1d\n\x02wp\x18\x06 \x03(\x0b\x32\x11.microgrid.WpType\x12(\n\x07load_ac\x18\x07 \x03(\x0b\x32\x17.microgrid.Load_AC_Type\x12(\n\x07load_dc\x18\x08 \x03(\x0b\x32\x17.microgrid.Load_DC_Type\x12&\n\x03\x62ic\x18\t \x03(\x0b\x32\x19.microgrid.Convertor_Type\x12\x0b\n\x03PMG\x18\n \x01(\x02\x12\x0c\n\x04V_DC\x18\x0b \x01(\x02\x12\x14\n\x0c\x43OMMAND_TYPE\x18\x0c \x01(\x05\x12\x1a\n\x12\x43OMMAND_TIME_STAMP\x18\r \x01(\x05\x12\x0c\n\x04\x43OST\x18\x0e \x01(\x02\x1a\xbf\x01\n\x06\x44gType\x12\n\n\x02ID\x18\x01 \x01(\x05\x12\x0e\n\x06STATUS\x18\x02 \x01(\x05\x12\n\n\x02PG\x18\x03 \x01(\x05\x12\n\n\x02QG\x18\x04 \x01(\x05\x12\n\n\x02VG\x18\x05 \x01(\x02\x12\x0b\n\x03\x41PF\x18\x06 \x01(\x05\x12\x18\n\x10\x43OMMAND_START_UP\x18\x07 \x01(\x05\x12\x12\n\nCOMMAND_VG\x18\x08 \x01(\x02\x12\x12\n\nCOMMAND_PG\x18\t \x01(\x05\x12\x12\n\nCOMMAND_QG\x18\n \x01(\x05\x12\x12\n\nCOMMAND_RG\x18\x0b \x01(\x05\x1ar\n\x07\x45ssType\x12\n\n\x02ID\x18\x01 \x01(\x05\x12\x0e\n\x06STATUS\x18\x02 \x01(\x05\x12\x0b\n\x03SOC\x18\x03 \x01(\x02\x12\n\n\x02PG\x18\x04 \x01(\x05\x12\n\n\x02RG\x18\x05 \x01(\x05\x12\x12\n\nCOMMAND_PG\x18\x06 \x01(\x05\x12\x12\n\nCOMMAND_RG\x18\x07 \x01(\x05\x1aU\n\x06PvType\x12\t\n\x01N\x18\x01 \x01(\x05\x12\n\n\x02PG\x18\x02 \x01(\x05\x12\n\n\x02QG\x18\x03 \x01(\x05\x12\x14\n\x0c\x43OMMAND_CURT\x18\x04 \x01(\x05\x12\x12\n\nCOMMAND_PG\x18\x05 \x01(\x05\x1aU\n\x06WpType\x12\t\n\x01N\x18\x01 \x01(\x05\x12\n\n\x02PG\x18\x02 \x01(\x02\x12\n\n\x02QG\x18\x03 \x01(\x05\x12\x14\n\x0c\x43OMMAND_CURT\x18\x04 \x01(\x05\x12\x12\n\nCOMMAND_PG\x18\x05 \x01(\x05\x1a\x83\x01\n\x0cLoad_AC_Type\x12\n\n\x02ID\x18\x01 \x01(\x05\x12\x0e\n\x06STATUS\x18\x02 \x01(\x05\x12\n\n\x02PD\x18\x03 \x01(\x05\x12\n\n\x02QD\x18\x04 \x01(\x05\x12\n\n\x02PF\x18\x05 \x01(\x02\x12\x0b\n\x03\x41PF\x18\x06 \x01(\x02\x12\x12\n\nCOMMAND_PD\x18\x07 \x01(\x02\x12\x12\n\nCOMMAND_RD\x18\x08 \x01(\x02\x1ak\n\x0cLoad_DC_Type\x12\n\n\x02ID\x18\x01 \x01(\x05\x12\x0e\n\x06STATUS\x18\x02 \x01(\x05\x12\n\n\x02PD\x18\x03 \x01(\x05\x12\x0b\n\x03\x41PF\x18\x04 \x01(\x02\x12\x12\n\nCOMMAND_PD\x18\x05 \x01(\x02\x12\x12\n\nCOMMAND_RD\x18\x06 \x01(\x02\x1a\x9d\x01\n\x0e\x43onvertor_Type\x12\n\n\x02ID\x18\x01 \x01(\x05\x12\x0e\n\x06STATUS\x18\x02 \x01(\x05\x12\x0f\n\x07P_AC2DC\x18\x03 \x01(\x05\x12\x0f\n\x07P_DC2AC\x18\x04 \x01(\x05\x12\x0c\n\x04Q_AC\x18\x05 \x01(\x05\x12\x15\n\rCOMMAND_AC2DC\x18\x06 \x01(\x02\x12\x15\n\rCOMMAND_DC2AC\x18\x07 \x01(\x02\x12\x11\n\tCOMMAND_Q\x18\x08 \x01(\x05\x62\x06proto3') ) _MICROGRID_DGTYPE = _descriptor.Descriptor( name='DgType', full_name='microgrid.DgType', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ID', full_name='microgrid.DgType.ID', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='STATUS', full_name='microgrid.DgType.STATUS', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PG', full_name='microgrid.DgType.PG', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='QG', full_name='microgrid.DgType.QG', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='VG', full_name='microgrid.DgType.VG', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='APF', full_name='microgrid.DgType.APF', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_START_UP', full_name='microgrid.DgType.COMMAND_START_UP', index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_VG', full_name='microgrid.DgType.COMMAND_VG', index=7, number=8, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PG', full_name='microgrid.DgType.COMMAND_PG', index=8, number=9, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_QG', full_name='microgrid.DgType.COMMAND_QG', index=9, number=10, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_RG', full_name='microgrid.DgType.COMMAND_RG', index=10, number=11, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=425, serialized_end=616, ) _MICROGRID_ESSTYPE = _descriptor.Descriptor( name='EssType', full_name='microgrid.EssType', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ID', full_name='microgrid.EssType.ID', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='STATUS', full_name='microgrid.EssType.STATUS', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='SOC', full_name='microgrid.EssType.SOC', index=2, number=3, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PG', full_name='microgrid.EssType.PG', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='RG', full_name='microgrid.EssType.RG', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PG', full_name='microgrid.EssType.COMMAND_PG', index=5, number=6, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_RG', full_name='microgrid.EssType.COMMAND_RG', index=6, number=7, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=618, serialized_end=732, ) _MICROGRID_PVTYPE = _descriptor.Descriptor( name='PvType', full_name='microgrid.PvType', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='N', full_name='microgrid.PvType.N', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PG', full_name='microgrid.PvType.PG', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='QG', full_name='microgrid.PvType.QG', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_CURT', full_name='microgrid.PvType.COMMAND_CURT', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PG', full_name='microgrid.PvType.COMMAND_PG', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=734, serialized_end=819, ) _MICROGRID_WPTYPE = _descriptor.Descriptor( name='WpType', full_name='microgrid.WpType', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='N', full_name='microgrid.WpType.N', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PG', full_name='microgrid.WpType.PG', index=1, number=2, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='QG', full_name='microgrid.WpType.QG', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_CURT', full_name='microgrid.WpType.COMMAND_CURT', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PG', full_name='microgrid.WpType.COMMAND_PG', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=821, serialized_end=906, ) _MICROGRID_LOAD_AC_TYPE = _descriptor.Descriptor( name='Load_AC_Type', full_name='microgrid.Load_AC_Type', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ID', full_name='microgrid.Load_AC_Type.ID', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='STATUS', full_name='microgrid.Load_AC_Type.STATUS', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PD', full_name='microgrid.Load_AC_Type.PD', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='QD', full_name='microgrid.Load_AC_Type.QD', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PF', full_name='microgrid.Load_AC_Type.PF', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='APF', full_name='microgrid.Load_AC_Type.APF', index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PD', full_name='microgrid.Load_AC_Type.COMMAND_PD', index=6, number=7, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_RD', full_name='microgrid.Load_AC_Type.COMMAND_RD', index=7, number=8, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=909, serialized_end=1040, ) _MICROGRID_LOAD_DC_TYPE = _descriptor.Descriptor( name='Load_DC_Type', full_name='microgrid.Load_DC_Type', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ID', full_name='microgrid.Load_DC_Type.ID', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='STATUS', full_name='microgrid.Load_DC_Type.STATUS', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PD', full_name='microgrid.Load_DC_Type.PD', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='APF', full_name='microgrid.Load_DC_Type.APF', index=3, number=4, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_PD', full_name='microgrid.Load_DC_Type.COMMAND_PD', index=4, number=5, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_RD', full_name='microgrid.Load_DC_Type.COMMAND_RD', index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1042, serialized_end=1149, ) _MICROGRID_CONVERTOR_TYPE = _descriptor.Descriptor( name='Convertor_Type', full_name='microgrid.Convertor_Type', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='ID', full_name='microgrid.Convertor_Type.ID', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='STATUS', full_name='microgrid.Convertor_Type.STATUS', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='P_AC2DC', full_name='microgrid.Convertor_Type.P_AC2DC', index=2, number=3, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='P_DC2AC', full_name='microgrid.Convertor_Type.P_DC2AC', index=3, number=4, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='Q_AC', full_name='microgrid.Convertor_Type.Q_AC', index=4, number=5, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_AC2DC', full_name='microgrid.Convertor_Type.COMMAND_AC2DC', index=5, number=6, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_DC2AC', full_name='microgrid.Convertor_Type.COMMAND_DC2AC', index=6, number=7, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_Q', full_name='microgrid.Convertor_Type.COMMAND_Q', index=7, number=8, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1152, serialized_end=1309, ) _MICROGRID = _descriptor.Descriptor( name='microgrid', full_name='microgrid', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='AREA', full_name='microgrid.AREA', index=0, number=1, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='TIME_STAMP', full_name='microgrid.TIME_STAMP', index=1, number=2, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='dg', full_name='microgrid.dg', index=2, number=3, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='ess', full_name='microgrid.ess', index=3, number=4, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='pv', full_name='microgrid.pv', index=4, number=5, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='wp', full_name='microgrid.wp', index=5, number=6, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='load_ac', full_name='microgrid.load_ac', index=6, number=7, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='load_dc', full_name='microgrid.load_dc', index=7, number=8, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='bic', full_name='microgrid.bic', index=8, number=9, type=11, cpp_type=10, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='PMG', full_name='microgrid.PMG', index=9, number=10, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='V_DC', full_name='microgrid.V_DC', index=10, number=11, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_TYPE', full_name='microgrid.COMMAND_TYPE', index=11, number=12, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COMMAND_TIME_STAMP', full_name='microgrid.COMMAND_TIME_STAMP', index=12, number=13, type=5, cpp_type=1, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), _descriptor.FieldDescriptor( name='COST', full_name='microgrid.COST', index=13, number=14, type=2, cpp_type=6, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, options=None), ], extensions=[ ], nested_types=[_MICROGRID_DGTYPE, _MICROGRID_ESSTYPE, _MICROGRID_PVTYPE, _MICROGRID_WPTYPE, _MICROGRID_LOAD_AC_TYPE, _MICROGRID_LOAD_DC_TYPE, _MICROGRID_CONVERTOR_TYPE, ], enum_types=[ ], options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=36, serialized_end=1309, ) _MICROGRID_DGTYPE.containing_type = _MICROGRID _MICROGRID_ESSTYPE.containing_type = _MICROGRID _MICROGRID_PVTYPE.containing_type = _MICROGRID _MICROGRID_WPTYPE.containing_type = _MICROGRID _MICROGRID_LOAD_AC_TYPE.containing_type = _MICROGRID _MICROGRID_LOAD_DC_TYPE.containing_type = _MICROGRID _MICROGRID_CONVERTOR_TYPE.containing_type = _MICROGRID _MICROGRID.fields_by_name['dg'].message_type = _MICROGRID_DGTYPE _MICROGRID.fields_by_name['ess'].message_type = _MICROGRID_ESSTYPE _MICROGRID.fields_by_name['pv'].message_type = _MICROGRID_PVTYPE _MICROGRID.fields_by_name['wp'].message_type = _MICROGRID_WPTYPE _MICROGRID.fields_by_name['load_ac'].message_type = _MICROGRID_LOAD_AC_TYPE _MICROGRID.fields_by_name['load_dc'].message_type = _MICROGRID_LOAD_DC_TYPE _MICROGRID.fields_by_name['bic'].message_type = _MICROGRID_CONVERTOR_TYPE DESCRIPTOR.message_types_by_name['microgrid'] = _MICROGRID _sym_db.RegisterFileDescriptor(DESCRIPTOR) microgrid = _reflection.GeneratedProtocolMessageType('microgrid', (_message.Message,), dict( DgType = _reflection.GeneratedProtocolMessageType('DgType', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_DGTYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.DgType) )) , EssType = _reflection.GeneratedProtocolMessageType('EssType', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_ESSTYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.EssType) )) , PvType = _reflection.GeneratedProtocolMessageType('PvType', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_PVTYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.PvType) )) , WpType = _reflection.GeneratedProtocolMessageType('WpType', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_WPTYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.WpType) )) , Load_AC_Type = _reflection.GeneratedProtocolMessageType('Load_AC_Type', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_LOAD_AC_TYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.Load_AC_Type) )) , Load_DC_Type = _reflection.GeneratedProtocolMessageType('Load_DC_Type', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_LOAD_DC_TYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.Load_DC_Type) )) , Convertor_Type = _reflection.GeneratedProtocolMessageType('Convertor_Type', (_message.Message,), dict( DESCRIPTOR = _MICROGRID_CONVERTOR_TYPE, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid.Convertor_Type) )) , DESCRIPTOR = _MICROGRID, __module__ = 'single_period_information_pb2' # @@protoc_insertion_point(class_scope:microgrid) )) _sym_db.RegisterMessage(microgrid) _sym_db.RegisterMessage(microgrid.DgType) _sym_db.RegisterMessage(microgrid.EssType) _sym_db.RegisterMessage(microgrid.PvType) _sym_db.RegisterMessage(microgrid.WpType) _sym_db.RegisterMessage(microgrid.Load_AC_Type) _sym_db.RegisterMessage(microgrid.Load_DC_Type) _sym_db.RegisterMessage(microgrid.Convertor_Type) # @@protoc_insertion_point(module_scope)

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0.057706

0.060346

0.834944

0.761256

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0.72222

0.713781

0

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0.106788

29,610

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2,831

39.959514

0.750718

0.02104

0

0.728959

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0.001427

0.184476

0.143404

0

1

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0.008559

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9

25fbe05caea2fc07988ecae624b5851ed3733a86

67,461

py

Python

examples/pokekombat.py

corycook/jalex

713493bd5df9d7d275d325b64d15543c8da42e88

[ "MIT" ]

2

2017-06-24T09:45:56.000Z

2019-04-28T09:20:56.000Z

examples/pokekombat.py

corycook/jalex

713493bd5df9d7d275d325b64d15543c8da42e88

[ "MIT" ]

null

examples/pokekombat.py

corycook/jalex

713493bd5df9d7d275d325b64d15543c8da42e88

[ "MIT" ]

null

# PokeKombat!!! # The mystical Pokemon Eevee must fight his way through countless enemies to prove his worth # Hyper beam is now swift, I feel Eevee would die if he actually used- # Hyper beam as much as he was origanally expected to. # Add costom poke death animation so a new pokeball comes up # Make Eevee and Psyduck not collideable just like scyther and just make # missiles collideable from v1shim import games, color import math, random Missile_Odds = 1 games.init(screen_width=840, screen_height=480, fps=50) class Psyduck(games.Sprite): """ An evil Psyduck!!! """ image = games.load_image("psyduck.png") sound = games.load_sound("cubone.wav") MISSILE_DELAY = 25 Left = False Right = False total = 0 stone = 0 odds = 2 missile_odds = 100 health = games.Text(value=100, size=30, color=color.blue, top=5, right=games.screen.width - 20, is_collideable=False) games.screen.add(health) def __init__(self, game, x, y, speed=2, odds_change=200): """ Initialize Psyduck! """ Psyduck.total += 1 super(Psyduck, self).__init__(image=Psyduck.image, x=x, y=y, dx=speed) self.odds_change = odds_change self.missile_wait = 0 def die(self): size = 9 Psyduck.total -= 1 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_cubone = Cubone(x=self.x, y=self.y, size=size) games.screen.add(new_cubone) stone = random.randint(1, 3) if stone == 2: new_waterstone = Water_Stone(game=self, x=400, y=2) games.screen.add(new_waterstone) Psyduck.sound.play() if stone == 1: new_thunderstone = Thunder_Stone(game=self, x=400, y=2) games.screen.add(new_thunderstone) Psyduck.sound.play() if stone == 3: new_firestone = Fire_Stone(game=self, x=400, y=2) games.screen.add(new_firestone) Psyduck.sound.play() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def decrease_health(self): Psyduck.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """IT'S ALIVEEEEE!!!!!""" if random.randrange(self.odds_change) == 0: self.odds += 1 self.dx = -self.dx if random.randrange(self.missile_odds) == 0: new_bubble = Bubble(self.x, self.y) games.screen.add(new_bubble) self.bubble_wait = Psyduck.MISSILE_DELAY if self.odds % 2 == 0: image2 = games.load_image("psyduck2.bmp") self.set_image(image2) Psyduck.Left = False Psyduck.Right = True else: image = games.load_image("psyduck.png") self.set_image(image) Psyduck.Left = True Psyduck.Right = False if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # if self.overlapping_sprites: # PsyduckStats[0] = PsyduckStats[0] - 10 if self.health.value <= 0: self.die() class Cubone(games.Sprite): """ An evil Cubone!!! """ image = games.load_image("cubone.png") MISSILE_DELAY = 25 Left = False Right = False total = 0 odds = 2 # must add this missile_odds = 100 # must add this too sound = games.load_sound("charizard.wav") health = games.Text(value=100, size=30, color=color.brown, top=25, right=games.screen.width - 20, is_collideable=False) games.screen.add(health) def __init__(self, size, x, y, speed=2, odds_change=200): """ Initialize Cubone! """ Cubone.total += 1 super(Cubone, self).__init__(image=Cubone.image, x=x, y=y, dx=speed) self.odds_change = odds_change self.missile_wait = 0 def decrease_health(self): Cubone.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die(self): size = 9 Cubone.total -= 1 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_charizard = Charizard(x=self.x, y=self.y, size=size) games.screen.add(new_charizard) # new_firestone = Fire_Stone(game = self, # x = 400, # y = 2) # games.screen.add(new_firestone) Cubone.sound.play() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """IT'S ALIVEEEEE!!!!!""" self.size = 9 if random.randrange(self.odds_change) == 0: self.odds += 1 # add this self.dx = -self.dx if random.randrange(self.missile_odds) == 0: # add this too new_bone = Bone(self.x, self.y) games.screen.add(new_bone) self.bubble_wait = Cubone.MISSILE_DELAY if self.odds % 2 == 0: # ADD ALL OF THIS image2 = games.load_image("cubone2.bmp") self.set_image(image2) Cubone.Left = False Cubone.Right = True else: image = games.load_image("cubone.png") self.set_image(image) Cubone.Left = True Cubone.Right = False # To here ^^^^^ if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # if self.overlapping_sprites: # CuboneStats[0] = CuboneStats[0] - 10 if self.health.value <= 0: self.die() class Charizard(games.Sprite): """ An evil Cubone!!! """ image = games.load_image("charizard.png") MISSILE_DELAY = 25 Left = False Right = False total = 0 odds = 2 missile_odds = 100 sound = games.load_sound("snorlax.wav") health = games.Text(value=100, size=30, color=color.red, top=45, right=games.screen.width - 20, is_collideable=False) games.screen.add(health) def __init__(self, size, x, y, speed=3, odds_change=100): """ Initialize Cubone! """ Charizard.total += 1 super(Charizard, self).__init__(image=Charizard.image, x=x, y=y, dx=speed) self.odds_change = odds_change self.missile_wait = 0 def decrease_health(self): Charizard.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die(self): size = 9 Charizard.total -= 1 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_snorlax = Snorlax(x=self.x, y=self.y, size=size) games.screen.add(new_snorlax) # new_thunderstone = Thunder_Stone(game = self, # x = 400, # y = 2) # games.screen.add(new_thunderstone) Charizard.sound.play() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """IT'S ALIVEEEEE!!!!!""" self.size = 9 if random.randrange(self.odds_change) == 0: self.odds += 1 self.dx = -self.dx if random.randrange(self.missile_odds) == 0: new_Fireball = Fireball(self.x, self.y) games.screen.add(new_Fireball) self.bubble_wait = Charizard.MISSILE_DELAY if self.odds % 2 == 0: # ADD ALL OF THIS image2 = games.load_image("charizard2.bmp") self.set_image(image2) Charizard.Left = False Charizard.Right = True else: image = games.load_image("charizard.png") self.set_image(image) Charizard.Left = True Charizard.Right = False if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # if self.overlapping_sprites: # CuboneStats[0] = CuboneStats[0] - 10 if self.health.value <= 0: self.die() class Snorlax(games.Sprite): """ An really cute Snorlax!!! """ image = games.load_image("snorlax.png") MISSILE_DELAY = 25 Left = False Right = False total = 0 odds = 2 boundary1 = 0 boundary2 = 0 missile_odds = 100 jump_odds = 100 sound = games.load_sound("mewtwo.wav") sound2 = games.load_sound("snorlax2.wav") health = games.Text(value=100, size=30, color=color.white, top=65, right=games.screen.width - 20, is_collideable=False) games.screen.add(health) def __init__(self, size, x, y, speed=3, odds_change=100): """ Initialize Snorlax! """ Snorlax.total += 1 super(Snorlax, self).__init__(image=Snorlax.image, x=x, y=y, dx=speed) self.odds_change = odds_change self.missile_wait = 0 def decrease_health(self): Snorlax.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die(self): size = 9 Snorlax.total -= 1 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_mewtwo = Mewtwo(x=self.x, y=400, size=size) games.screen.add(new_mewtwo) # new_thunderstone = Thunder_Stone(game = self, # x = 400, # y = 2) # games.screen.add(new_thunderstone) Snorlax.sound.play() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """IT'S ALIVEEEEE!!!!!""" self.size = 9 self.boundary1 = self.x + 350 self.boundary2 = self.x - 350 if random.randrange(self.odds_change) == 0: self.odds += 1 self.dx = -self.dx if random.randrange(self.jump_odds) == 0: self.dy = - 5 Snorlax.sound2.play() if self.bottom < 350: self.dy = -self.dy if self.top > 390: self.dy = 0 self.y = 400 if self.top > 400: self.dy = 0 self.y = 400 # if random.randrange(self.missile_odds) ==0: # new_Fireball = Fireball(self.x, self.y) # games.screen.add(new_Fireball) # self.bubble_wait = Snorlax.MISSILE_DELAY if self.odds % 2 == 0: # ADD ALL OF THIS image2 = games.load_image("snorlax2.bmp") self.set_image(image2) Charizard.Left = False Charizard.Right = True else: image = games.load_image("snorlax.png") self.set_image(image) Charizard.Left = True Charizard.Right = False if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # if self.overlapping_sprites: # CuboneStats[0] = CuboneStats[0] - 10 if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: self.x += 50 sprite.x -= 50 # this will make sprite fall back when hit else: sprite.x += 50 self.x -= 50 if self.health.value <= 0: self.die() class Mewtwo(games.Sprite): """ An evil Mewtwo!!! """ image = games.load_image("mewtwo.png") MISSILE_DELAY = 25 Left = False Right = False odds = 2 missile_odds = 50 health = games.Text(value=150, size=30, color=color.purple, top=85, right=games.screen.width - 20, is_collideable=False) games.screen.add(health) def __init__(self, size, x, y, speed=3, odds_change=100): """ Initialize Mewtwo! """ super(Mewtwo, self).__init__(image=Mewtwo.image, x=x, y=y, dx=speed) self.odds_change = odds_change self.missile_wait = 0 def win(self): """Ends game""" end_message = games.Message(value="You Win!", size=90, color=color.blue, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) games.screen.add(end_message) def decrease_health(self): Mewtwo.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.win() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """IT'S ALIVEEEEE!!!!!""" self.size = 9 if random.randrange(self.odds_change) == 0: self.odds += 1 self.dx = -self.dx if random.randrange(self.missile_odds) == 0: new_Shadowball = Shadowball(self.x, self.y) games.screen.add(new_Shadowball) self.bubble_wait = Mewtwo.MISSILE_DELAY if self.odds % 2 == 0: # ADD ALL OF THIS image2 = games.load_image("mewtwo2.png") self.set_image(image2) Mewtwo.Left = False Mewtwo.Right = True else: image = games.load_image("mewtwo.png") self.set_image(image) Mewtwo.Left = True Mewtwo.Right = False # if self.overlapping_sprites: # CuboneStats[0] = CuboneStats[0] - 10 if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width if self.health.value <= 0: self.die() class Eevee(games.Sprite): """ An Eevee that is ready to fight! """ image = games.load_image("eevee.png") sound = games.load_sound("eevee3.wav") soundend = games.load_sound("gameover.wav") MISSILE_DELAY = 25 JUMP_DELAY = 50 Left = False Right = False total = 0 health = games.Text(value=100, size=30, color=color.red, top=5, right=games.screen.width - 710, is_collideable=False) games.screen.add(health) stone = games.Text(value="Eevee", size=30, color=color.white, top=5, right=games.screen.width - 745, is_collideable=False) games.screen.add(stone) def __init__(self, x, y): """ Initialize Eevee like a boss, and keeps his score.""" super(Eevee, self).__init__(image=Eevee.image, x=x, y=y) self.missile_wait = 0 self.jump_wait = 0 def end(self): """Ends game""" end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) Eevee.soundend.play() games.screen.add(end_message) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.end() def die2(self): Eevee.total = 1 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.health.destroy() self.stone.destroy() Jolteon.health.destroy() Flareon.health.destroy() Jolteon.stone.destroy() Flareon.stone.destroy() new_vaporeon = Vaporeon(x=400, y=400) games.screen.add(new_vaporeon) # Charizard.sound.play() def die3(self): Eevee.total = 2 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.health.destroy() self.stone.destroy() Vaporeon.health.destroy() Flareon.health.destroy() Vaporeon.stone.destroy() Flareon.stone.destroy() new_jolteon = Jolteon(x=self.x, y=400) games.screen.add(new_jolteon) def die4(self): Eevee.total = 3 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.health.destroy() self.stone.destroy() Vaporeon.health.destroy() Jolteon.health.destroy() Vaporeon.stone.destroy() Jolteon.stone.destroy() new_flareon = Flareon(x=self.x, y=400) games.screen.add(new_flareon) def die5(self): Eevee.total = 4 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.health.destroy() self.stone.destroy() new_mew = Mew(x=self.x, y=400) games.screen.add(new_mew) def decrease_health(self): Eevee.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def water_evolve(self): Eevee.stone.value = "Vaporean" def update(self): """Move and jump around! Just like Eevee in real life!!!""" if games.keyboard.is_pressed(games.K_LEFT): image2 = games.load_image("eevee2.bmp") self.set_image(image2) Eevee.Left = True Eevee.Right = False self.x -= 2 if games.keyboard.is_pressed(games.K_RIGHT): image = games.load_image("eevee.png") self.set_image(image) Eevee.Left = False Eevee.Right = True self.x += 2 if games.keyboard.is_pressed(games.K_1) and games.keyboard.is_pressed(games.K_5) and games.keyboard.is_pressed(games.K_0): self.die5() if games.keyboard.is_pressed(games.K_UP) and self.jump_wait == 0: Eevee.sound.play() self.jump_wait = Eevee.JUMP_DELAY self.dy = -4 if self.bottom < 350: self.dy = -self.dy if self.top > 360: self.dy = 0 self.y = 400 # HEALTH # if self.overlapping_sprites: # EeveeStats[0] = EeveeStats[0] - 10 # Eevee.health.value -= 10 if self.health.value == 0: self.die() # Wraps Eevee around screen lol if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # If waiting until eevee can use Hyper Beam again decrease wait. if self.missile_wait > 0: self.missile_wait -= 1 # If waiting until eevee can jum again decrease wait. if self.jump_wait > 0: self.jump_wait -= 1 # Use Hyper Beam if spacebar pressed and missile wait is over if games.keyboard.is_pressed(games.K_SPACE) and self.missile_wait == 0: new_missile = Missile(self.x, self.y) games.screen.add(new_missile) self.missile_wait = Eevee.MISSILE_DELAY class Vaporeon(games.Sprite): """ A Vaporeon that is ready to fight! """ image = games.load_image("vaporeon.png") sound = games.load_sound("vaporeon.wav") soundend = games.load_sound("gameover.wav") Left = False Right = False MISSILE_DELAY = 25 JUMP_DELAY = 50 total = 0 health = games.Text(value=100, size=30, color=color.white, top=65, right=games.screen.width - 710, is_collideable=False) games.screen.add(health) stone = games.Text(value="Vaporeon", size=30, color=color.blue, top=65, right=games.screen.width - 745, is_collideable=False) games.screen.add(stone) def __init__(self, x, y): """ Initialize Eevee like a boss, and keeps his score.""" super(Vaporeon, self).__init__(image=Vaporeon.image, # might be here x=x, y=y) self.missile_wait = 0 self.jump_wait = 0 def end(self): """Ends game""" end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) Vaporeon.soundend.play() games.screen.add(end_message) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.end() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): Eevee.total = 2 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_jolteon = Jolteon(x=self.x, y=self.y) games.screen.add(new_jolteon) def die4(self): Eevee.total = 3 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_flareon = Flareon(x=self.x, y=self.y) games.screen.add(new_flareon) def decrease_health(self): Vaporeon.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def water_evolve(self): Vaporeon.stone.value = "Vaporean" def update(self): """Move and jump around! Just like Eevee in real life!!!""" if games.keyboard.is_pressed(games.K_LEFT): image2 = games.load_image("vaporeon2.bmp") self.set_image(image2) Vaporeon.Left = True Vaporeon.Right = False self.x -= 2 if games.keyboard.is_pressed(games.K_RIGHT): image = games.load_image("vaporeon.png") self.set_image(image) Vaporeon.Left = False Vaporeon.Right = True self.x += 2 if games.keyboard.is_pressed(games.K_UP) and self.jump_wait == 0: Vaporeon.sound.play() self.jump_wait = Vaporeon.JUMP_DELAY self.dy = -4 if self.bottom < 350: self.dy = -self.dy if self.top > 390: self.dy = 0 self.y = 400 if self.top > 400: self.dy = 0 self.y = 400 # HEALTH # if self.overlapping_sprites: # EeveeStats[0] = EeveeStats[0] - 10 # Eevee.health.value -= 10 if self.health.value == 0: self.die() # Wraps Eevee around screen lol if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # If waiting until eevee can use Hyper Beam again decrease wait. if self.missile_wait > 0: self.missile_wait -= 1 # If waiting until eevee can jum again decrease wait. if self.jump_wait > 0: self.jump_wait -= 1 # Use Hyper Beam if spacebar pressed and missile wait is over if games.keyboard.is_pressed(games.K_SPACE) and self.missile_wait == 0: new_missile = Icebeam(self.x, self.y) games.screen.add(new_missile) self.missile_wait = Vaporeon.MISSILE_DELAY class Jolteon(games.Sprite): """ A Jolteon that is ready to fight! """ image = games.load_image("jolteon.bmp") sound = games.load_sound("jolteon.wav") soundend = games.load_sound("gameover.wav") Left = False Right = False MISSILE_DELAY = 25 JUMP_DELAY = 50 total = 0 health = games.Text(value=100, size=30, color=color.yellow, top=85, right=games.screen.width - 710, is_collideable=False) games.screen.add(health) stone = games.Text(value="Jolteon", size=30, color=color.yellow, top=85, right=games.screen.width - 745, is_collideable=False) games.screen.add(stone) def __init__(self, x, y): """ Initialize Eevee like a boss, and keeps his score.""" super(Jolteon, self).__init__(image=Jolteon.image, # might be here x=x, y=y) self.missile_wait = 0 self.jump_wait = 0 def end(self): """Ends game""" end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) Vaporeon.soundend.play() games.screen.add(end_message) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.end() def die2(self): Eevee.total = 1 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_vaporeon = Vaporeon(x=self.x, y=self.y) games.screen.add(new_vaporeon) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): Eevee.total = 3 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_flareon = Flareon(x=self.x, y=self.y) games.screen.add(new_flareon) def decrease_health(self): Jolteon.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def water_evolve(self): Jolteon.stone.value = "Jolteon" def update(self): """Move and jump around! Just like Eevee in real life!!!""" if games.keyboard.is_pressed(games.K_LEFT): image2 = games.load_image("jolteon2.bmp") self.set_image(image2) Jolteon.Left = True Jolteon.Right = False self.x -= 2 if games.keyboard.is_pressed(games.K_RIGHT): image = games.load_image("jolteon.bmp") self.set_image(image) Jolteon.Left = False Jolteon.Right = True self.x += 2 if games.keyboard.is_pressed(games.K_UP) and self.jump_wait == 0: Jolteon.sound.play() self.jump_wait = Jolteon.JUMP_DELAY self.dy = -4 if self.bottom < 350: self.dy = -self.dy if self.top > 390: self.dy = 0 self.y = 400 if self.top > 400: self.dy = 0 self.y = 400 # HEALTH # if self.overlapping_sprites: # EeveeStats[0] = EeveeStats[0] - 10 # Eevee.health.value -= 10 if self.health.value == 0: self.die() # Wraps Eevee around screen lol if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # If waiting until eevee can use Hyper Beam again decrease wait. if self.missile_wait > 0: self.missile_wait -= 1 # If waiting until eevee can jum again decrease wait. if self.jump_wait > 0: self.jump_wait -= 1 # Use Hyper Beam if spacebar pressed and missile wait is over if games.keyboard.is_pressed(games.K_SPACE) and self.missile_wait == 0: new_missile = Lightning(self.x, self.y) games.screen.add(new_missile) self.missile_wait = Jolteon.MISSILE_DELAY class Flareon(games.Sprite): """ A Flareon that is ready to fight! """ image = games.load_image("flareon.bmp") sound = games.load_sound("flareon.wav") soundend = games.load_sound("gameover.wav") Left = False Right = False MISSILE_DELAY = 25 JUMP_DELAY = 50 total = 0 health = games.Text(value=100, size=30, color=color.red, top=105, right=games.screen.width - 710, is_collideable=False) games.screen.add(health) stone = games.Text(value="Flareon", size=30, color=color.red, top=105, right=games.screen.width - 745, is_collideable=False) games.screen.add(stone) def __init__(self, x, y): """ Initialize Eevee like a boss, and keeps his score.""" super(Flareon, self).__init__(image=Flareon.image, # might be here x=x, y=y) self.missile_wait = 0 self.jump_wait = 0 def end(self): """Ends game""" end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) Flareon.soundend.play() games.screen.add(end_message) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.end() def die2(self): Eevee.total = 1 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_vaporeon = Vaporeon(x=self.x, y=self.y) games.screen.add(new_vaporeon) def die3(self): Eevee.total = 2 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_jolteon = Jolteon(x=self.x, y=self.y) games.screen.add(new_jolteon) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def decrease_health(self): Flareon.health.value -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def water_evolve(self): Flareon.stone.value = "Flareon" def update(self): """Move and jump around! Just like Eevee in real life!!!""" if games.keyboard.is_pressed(games.K_LEFT): image2 = games.load_image("flareon2.bmp") self.set_image(image2) Flareon.Left = True Flareon.Right = False self.x -= 2 if games.keyboard.is_pressed(games.K_RIGHT): image = games.load_image("flareon.bmp") self.set_image(image) Flareon.Left = False Flareon.Right = True self.x += 2 if games.keyboard.is_pressed(games.K_UP) and self.jump_wait == 0: Flareon.sound.play() self.jump_wait = Flareon.JUMP_DELAY self.dy = -4 if self.bottom < 350: self.dy = -self.dy if self.top > 390: self.dy = 0 self.y = 400 if self.top > 400: self.dy = 0 self.y = 400 # HEALTH # if self.overlapping_sprites: # EeveeStats[0] = EeveeStats[0] - 10 # Eevee.health.value -= 10 if self.health.value == 0: self.die() # Wraps Eevee around screen lol if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # If waiting until eevee can use Hyper Beam again decrease wait. if self.missile_wait > 0: self.missile_wait -= 1 # If waiting until eevee can jum again decrease wait. if self.jump_wait > 0: self.jump_wait -= 1 # Use Hyper Beam if spacebar pressed and missile wait is over if games.keyboard.is_pressed(games.K_SPACE) and self.missile_wait == 0: new_missile = Fireball2(self.x, self.y) games.screen.add(new_missile) self.missile_wait = Flareon.MISSILE_DELAY class Mew(games.Sprite): """ A Mew that is ready to fight! """ image = games.load_image("mew.png") #sound = games.load_sound("mew.wav") soundend = games.load_sound("gameover.wav") Left = False Right = False MISSILE_DELAY = 25 JUMP_DELAY = 50 total = 0 health = 9999 def __init__(self, x, y): """ Initialize Mew like a boss, and keeps his score.""" super(Mew, self).__init__(image=Mew.image, # might be here x=x, y=y) self.missile_wait = 0 self.jump_wait = 0 def end(self): """Ends game""" end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) Flareon.soundend.play() games.screen.add(end_message) def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() self.end() def die2(self): Eevee.total = 1 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_vaporeon = Vaporeon(x=self.x, y=400) games.screen.add(new_vaporeon) def die3(self): Eevee.total = 2 size = 9 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() new_jolteon = Jolteon(x=self.x, y=400) games.screen.add(new_jolteon) def die4(self): new_explosion = Explosion(x=self.x, y=400) games.screen.add(new_explosion) self.destroy() new_flareon = Flareon(x=self.x, y=400) games.screen.add(new_flareon) def decrease_health(self): Mew.health -= 10 new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def update(self): """Move and jump around! Just like Eevee in real life!!!""" if games.keyboard.is_pressed(games.K_LEFT): image2 = games.load_image("mew2.png") self.set_image(image2) Mew.Left = True Mew.Right = False self.dx = -2 if games.keyboard.is_pressed(games.K_RIGHT): image = games.load_image("mew.png") self.set_image(image) Mew.Left = False Mew.Right = True self.dx = 2 if games.keyboard.is_pressed(games.K_UP): # Flareon.sound.play() self.dy = -2 if games.keyboard.is_pressed(games.K_DOWN): self.dy = 2 if games.keyboard.is_pressed(games.K_LEFT) and games.keyboard.is_pressed(games.K_RIGHT): self.dy = 0 if games.keyboard.is_pressed(games.K_DOWN) and games.keyboard.is_pressed(games.K_UP): self.dx = 0 # HEALTH # if self.overlapping_sprites: # EeveeStats[0] = EeveeStats[0] - 10 # Eevee.health.value -= 10 if self.health <= 0: self.die() # Wraps Eevee around screen lol if self.left > games.screen.width: self.right = 0 if self.right < 0: self.left = games.screen.width # If waiting until eevee can use Hyper Beam again decrease wait. if self.missile_wait > 0: self.missile_wait -= 1 # If waiting until eevee can jum again decrease wait. # Use Hyper Beam if spacebar pressed and missile wait is over if games.keyboard.is_pressed(games.K_SPACE) and self.missile_wait == 0: new_missile = Psychic(self.x, self.y) games.screen.add(new_missile) self.missile_wait = Mew.MISSILE_DELAY class Water_Stone(games.Sprite): """Makes Eevee Evolve""" image = games.load_image("waterstone.bmp") total = 0 health = 10 def __init__(self, game, x, y, speed=1): """initialize stone""" super(Water_Stone, self).__init__(image=Water_Stone.image, x=x, y=y, dy=speed) x = 200, y = 300 def die(self): """Use stone""" size = 9 Water_Stone.total += 1 for sprite in self.overlapping_sprites: sprite.die2() self.destroy() def decrease_health(self): self.health -= 10 def update(self): if self.top < 150: dy = 0, y = 150 if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.die2() self.destroy() class Thunder_Stone(games.Sprite): """Makes Eevee Evolve""" image = games.load_image("thunderstone.bmp") total = 0 health = 10 def __init__(self, game, x, y, speed=1): """initialize stone""" super(Thunder_Stone, self).__init__(image=Thunder_Stone.image, x=x, y=y, dy=speed) x = 200, y = 300 def die(self): """Use stone""" size = 9 Thunder_Stone.total += 2 for sprite in self.overlapping_sprites: sprite.die3() self.destroy() def decrease_health(self): self.health -= 10 def update(self): if self.top < 150: dy = 0, y = 150 if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.die3() self.destroy() class Fire_Stone(games.Sprite): """Makes Eevee Evolve""" image = games.load_image("firestone.bmp") total = 0 health = 10 def __init__(self, game, x, y, speed=1): """initialize stone""" super(Fire_Stone, self).__init__(image=Fire_Stone.image, x=x, y=y, dy=speed) x = 200, y = 300 def die(self): """Use stone""" size = 9 Fire_Stone.total += 3 for sprite in self.overlapping_sprites: sprite.die4() self.destroy() def decrease_health(self): self.health -= 10 def update(self): if self.top < 150: dy = 0, y = 150 if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.die4() self.destroy() class Missile(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("missile.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 BUFFER = 0 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Eevee_x, Eevee_y): # Calculate Hyper Beams starting position x = Eevee_x + 100 y = Eevee_y # calculate missile's velocity components if Eevee.Right == True: dx = 5 dy = 0 else: x = Eevee_x - 100 dx = -5 dy = 0 super(Missile, self).__init__(image=Missile.image, x=x, y=y, dx=dx, dy=dy) self.lifetime = Missile.LIFETIME if Eevee.Right == True: image2 = games.load_image("missile.bmp") self.set_image(image2) dx = 5 dy = 0 else: image2 = games.load_image("missile2.bmp") self.set_image(image2) x = Eevee_x - 100 dx = -5 dy = 0 def decrease_health(self): self.health -= 10 def update(self): """Move the Hyperbeam""" super(Missile, self).update() self.lifetime -= 1 if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Bubble(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("bubbles.png") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Psyduck_x, Psyduck_y): # Calculate Hyper Beams starting position x = Psyduck_x y = Psyduck_y # calculate missile's velocity components if Psyduck.Right == True: x = Psyduck_x + 100 y = Psyduck_y dx = 5 dy = 0 if Psyduck.Left == True: x = Psyduck_x - 100 y = Psyduck_y dx = -5 dy = 0 super(Bubble, self).__init__(image=Bubble.image, x=x, y=y, dx=dx, dy=dy) if Psyduck.Right == True: image2 = games.load_image("bubbles.png") self.set_image(image2) dx = 5 dy = 0 else: image2 = games.load_image("bubbles2.png") self.set_image(image2) x = Psyduck_x - 100 dx = -5 dy = 0 def decrease_health(self): self.health -= 10 self.lifetime = Bubble.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Bone(games.Animation): """ Eevee getting ready to blow stuff up! """ images = images = ["bone.bmp", "bone.bmp", "bone.bmp", "bone.bmp", "bone.bmp", "bone.bmp", "bone2.bmp", "bone2.bmp", "bone2.bmp", "bone2.bmp", "bone2.bmp", "bone2.bmp"] VELOCITY_FACTOR = 5 LIFETIME = 40 BUFFER = 0 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Cubone_x, Cubone_y): # Calculate Hyper Beams starting position x = Cubone_x - 100 y = Cubone_y # calculate missile's velocity components if Cubone.Right == True: x = Cubone_x + 100 y = Cubone_y # add these dx = 5 dy = 0 else: x = Cubone_x - 100 dx = -5 dy = 0 super(Bone, self).__init__(images=Bone.images, x=x, y=y, dx=dx, dy=dy) self.lifetime = Bone.LIFETIME def decrease_health(self): self.health -= 10 def update(self): """Move the Hyperbeam""" super(Bone, self).update() self.lifetime -= 1 if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Fireball(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("fireball.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Charizard_x, Charizard_y): # Calculate Hyper Beams starting position x = Charizard_x - 100 y = Charizard_y # calculate missile's velocity components if Charizard.Right == True: x = Charizard_x + 100 y = Charizard_y dx = 5 dy = 0 else: x = Charizard_x - 100 dx = -5 dy = 0 super(Fireball, self).__init__(image=Fireball.image, x=x, y=y, dx=dx, dy=dy) if Charizard.Right == True: image2 = games.load_image("fireball2.bmp") self.set_image(image2) dx = 5 dy = 0 else: image2 = games.load_image("fireball.bmp") self.set_image(image2) x = Charizard_x - 100 dx = -5 dy = 0 def decrease_health(self): self.health -= 10 self.lifetime = Fireball.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Shadowball(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("shadowball.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Mewtwo_x, Mewtwo_y): # Calculate Hyper Beams starting position x = Mewtwo_x - 100 y = Mewtwo_y # calculate missile's velocity components if Mewtwo.Right == True: x = Mewtwo_x + 100 y = Mewtwo_y dx = 5 dy = 0 else: x = Mewtwo_x - 100 dx = -5 dy = 0 super(Shadowball, self).__init__(image=Shadowball.image, x=x, y=y, dx=dx, dy=dy) def decrease_health(self): self.health -= 10 self.lifetime = Shadowball.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Icebeam(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("icebeam.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Vaporeon_x, Vaporeon_y): # Calculate Hyper Beams starting position x = Vaporeon_x + 100 y = Vaporeon_y # calculate missile's velocity components if Vaporeon.Right == True: dx = 5 dy = 0 else: x = Vaporeon_x - 100 dx = -5 dy = 0 super(Icebeam, self).__init__(image=Icebeam.image, x=x, y=y, dx=dx, dy=dy) if Vaporeon.Right == True: image2 = games.load_image("icebeam.bmp") self.set_image(image2) dx = 5 dy = 0 else: image2 = games.load_image("icebeam.png") self.set_image(image2) # left needs to face opposite direction x = Vaporeon_x - 100 dx = -5 dy = 0 def decrease_health(self): self.health -= 10 self.lifetime = Icebeam.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() # left wrong right huge if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Psychic(games.Sprite): """ Mew getting ready to blow stuff up! """ image = games.load_image("psychic.png") VELOCITY_FACTOR = 15 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Mew_x, Mew_y): # Calculate Hyper Beams starting position x = Mew_x + 100 y = Mew_y # calculate missile's velocity components if Mew.Right == True: dx = 5 dy = 0 else: x = Mew_x - 100 dx = -5 dy = 0 super(Psychic, self).__init__(image=Psychic.image, x=x, y=y, dx=dx, dy=dy) def decrease_health(self): self.health -= 10 self.lifetime = Icebeam.LIFETIME def update(self): """Move the Hyperbeam""" super(Psychic, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() sprite.decrease_health() sprite.decrease_health() sprite.decrease_health() sprite.decrease_health() if sprite.x < self.x: sprite.x -= 150 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Lightning(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("lightning.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Jolteon_x, Jolteon_y): # Calculate Hyper Beams starting position x = Jolteon_x + 100 y = Jolteon_y # calculate missile's velocity components if Jolteon.Right == True: dx = 5 dy = 0 else: x = Jolteon_x - 100 dx = -5 dy = 0 super(Lightning, self).__init__(image=Lightning.image, x=x, y=y, dx=dx, dy=dy) def decrease_health(self): self.health -= 10 self.lifetime = Lightning.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Fireball2(games.Sprite): """ Eevee getting ready to blow stuff up! """ image = games.load_image("fireball2.bmp") VELOCITY_FACTOR = 5 LIFETIME = 40 health = 10 def die(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) self.destroy() def die2(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die3(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def die4(self): new_explosion = Explosion(x=self.x, y=self.y) games.screen.add(new_explosion) def __init__(self, Flareon_x, Flareon_y): # Calculate Hyper Beams starting position x = Flareon_x + 100 y = Flareon_y # calculate missile's velocity components if Flareon.Right == True: dx = 5 dy = 0 else: x = Flareon_x - 100 dx = -5 dy = 0 super(Fireball2, self).__init__(image=Fireball2.image, x=x, y=y, dx=dx, dy=dy) if Flareon.Right == True: image2 = games.load_image("fireball2.bmp") self.set_image(image2) dx = 5 dy = 0 else: image2 = games.load_image("fireball.bmp") self.set_image(image2) x = Flareon_x - 100 dx = -5 dy = 0 def decrease_health(self): self.health -= 10 self.lifetime = Fireball2.LIFETIME def update(self): """Move the Hyperbeam""" #super(Bubble, self).update() if self.health == 0: self.die() if self.overlapping_sprites: for sprite in self.overlapping_sprites: sprite.decrease_health() if sprite.x < self.x: sprite.x -= 25 # this will make sprite fall back when hit else: sprite.x += 25 self.destroy() class Explosion(games.Animation): """ Explosion animation. """ sound = games.load_sound("boom.wav") images = ["explosion1.bmp", "explosion2.bmp", "explosion3.bmp", "explosion4.bmp", "explosion5.bmp", "explosion6.bmp", "explosion7.bmp", "explosion8.bmp", "explosion9.bmp"] def __init__(self, x, y): super(Explosion, self).__init__(images=Explosion.images, x=x, y=y, repeat_interval=4, n_repeats=1, is_collideable=False) Explosion.sound.play() class Game(object): """Setting up this boss game""" def __init__(self): """Initialize Game Object""" # sets level self.level = 0 # put sound here self.sound = games.load_sound("psyduck.wav") # health here """self.health = games.Text(value = 100, size = 30, color = color.red, top = 5, right = games.screen.width - 10, is_collideable = False) games.screen.add(self.health)""" # Create Eevee self.Eevee = Eevee(x=100, y=400) games.screen.add(self.Eevee) # Create Psyduck self.Psyduck = Psyduck(game=self, x=600, y=400) games.screen.add(self.Psyduck) self.sound.play() # Create Cubone if Psyduck.total == 0: # Make Charizard or Blastoise or snorlax self.cubone = Cubone(game=self, x=600, y=400) games.screen.add(self.Cubone) # Create Charizard if Psyduck.total == 0 and Cubone.total == 0: # Make Charizard self.charizard = Charizard(game=self, x=600, y=400) games.screen.add(self.Charizard) # Create Snorlax if Psyduck.total == 0 and Cubone.total == 0 and Charizard.total == 0: # Make Snorlax self.snorlax = Snorlax(game=self, x=600, y=400) games.screen.add(self.Snorlax) # Create Mewtwo if Psyduck.total == 0 and Cubone.total == 0 and Charizard.total == 0 and Snorlax.total: # Make Snorlax self.mewtwo = Mewtwo(game=self, x=600, y=400) games.screen.add(self.Mewtwo) # Evolve into Vaporeon if Eevee.total == 1: self.vaporeon = Vaporeon(x=200, y=400) games.screen.add(self.vaporeon) # Evolve into Jolteon if Eevee.total == 2: self.jolteon = Jolteon(x=200, y=400) games.screen.add(self.jolteon) # Evolve into Flareon if Eevee.total == 3: self.flareon = Flareon(x=200, y=400) games.screen.add(self.flareon) if Eevee.total == 4: self.mew = Mew(x=200, y=400) # randomize stones if Psyduck.stone == 0: Psyduck.total = random.randint(1, 3) # Create Waterstone if Psyduck.stone == 1: self.waterstone = Water_Stone(game=self, x=400, y=2) games.screen.add(self.waterstone) # Create thunderstone if Psyduck.stone == 2: self.thunderstone = Thunder_Stone(game=self, x=300, y=2) games.screen.add(self.thunderstone) # Create Firestone if Psyduck.stone == 3: self.firestone = Fire_Stone(game=self, x=200, y=2) games.screen.add(self.firestone) def play(self): """ Play game """ # music games.music.load("clocks.mid") games.music.play(-100) # ENABLE THIS BEFORE TURNING IN!!! # load and set background armory_image = games.load_image("armory.jpg") games.screen.background = armory_image # start it up games.screen.mainloop() def end(self): """ End the game. """ # show 'Game Over' for 5 seconds end_message = games.Message(value="Game Over", size=90, color=color.red, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) games.screen.add(end_message) def win(self): """ End the game win. """ # show 'Game Over' for 5 seconds end_message = games.Message(value="You Win!", size=90, color=color.blue, x=games.screen.width / 2, y=games.screen.height / 2, lifetime=5 * games.screen.fps, after_death=games.screen.quit, is_collideable=False) games.screen.add(end_message) def main(): pokekombat = Game() pokekombat.play() main()

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2,193

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d3178120713fa7421d191ef97270d9d0729b6662

35,673

py

Python

srv6_utils.py

everywan-io/srv6-sdn-mininet

aa99d9b277c3823489d07bfc620fe08dd6fa30e7

[ "Apache-2.0" ]

null

srv6_utils.py

everywan-io/srv6-sdn-mininet

aa99d9b277c3823489d07bfc620fe08dd6fa30e7

[ "Apache-2.0" ]

null

srv6_utils.py

everywan-io/srv6-sdn-mininet

aa99d9b277c3823489d07bfc620fe08dd6fa30e7

[ "Apache-2.0" ]

null

#!/usr/bin/python ############################################################################################## # Copyright (C) 2018 Pier Luigi Ventre - (CNIT and University of Rome "Tor Vergata") # Copyright (C) 2018 Stefano Salsano - (CNIT and University of Rome "Tor Vergata") # www.uniroma2.it/netgroup - www.cnit.it # # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Utils for Segment Routing IPv6 # # @author Pier Luigi Ventre <pierventre@hotmail.com> # @author Stefano Salsano <stefano.salsano@uniroma2.it> # General imports from __future__ import absolute_import, division, print_function import os import shutil import sys import random # Mininet dependencies from mininet.node import Host # SRv6 dependencies from srv6_generators import RANGE_FOR_AREA_0 ################## Setup these variables ################## # Interval between two hello packets (in seconds) HELLO_INTERVAL = 1 # How long we should be wait for hello packets # before we declare the neighbor dead (in seconds) DEAD_INTERVAL = 3 # How long we should be wait before retransmitting # Database Description and Link State Request packets (in seconds) RETRANSMIT_INTERVAL = 3 # The maximum time allowed between sending unsolicited # multicast router advertisement from the interface (in seconds) RA_INTERVAL = 10 ########################################################### # This workaround solves the issue of python commands # executed outside the virtual environment PYTHON_PATH = sys.executable # Filenames of the bash scripts # # nodes.sh file containing the nodes NODES_SH = 'nodes.sh' # neighs.sh containing the neighbors NEIGHS_SH = 'neighs.sh' # devid.sh file containing the device ID DEVICEID_SH = 'devid.sh' # hostname.sh file containing the hostname HOSTNAME_SH = 'hostname.sh' # interfaces.sh file containing the interfaces INTERFACES_SH = 'interfaces.sh' # ips.sh file containing the ips IPS_SH = 'ips.sh' # Initialize random seed random.seed(0) # Generate a random UUID used to identify the node def generate_uuid(): # Example of UUID: 7a0525c1-22e9-cc50-d44d-5149c7524f1f global seed_initiated seq = 'abcdef1234567890' uuid = '' # First block for _ in range(0, 8): uuid += random.choice(seq) uuid += '-' # Second block for _ in range(0, 4): uuid += random.choice(seq) uuid += '-' # Third block for _ in range(0, 4): uuid += random.choice(seq) uuid += '-' # Fourth block for _ in range(0, 4): uuid += random.choice(seq) uuid += '-' # Fifth block for _ in range(0, 12): uuid += random.choice(seq) # Return the UUID return uuid # Abstraction to model a SRv6Router class SRv6Router(Host): def __init__(self, name, *args, **kwargs): dirs = ['/var/mininet'] Host.__init__(self, name, privateDirs=dirs, *args, **kwargs) self.dir = "/tmp/%s" % name self.nets = [] if os.path.exists(self.dir): shutil.rmtree(self.dir) if not os.path.exists(self.dir): os.makedirs(self.dir) if kwargs.get('debug', False): self.exec_cmd = self.cmdPrint else: self.exec_cmd = self.cmd self.exec_cmd("for session in $(screen -ls | grep -o '[0-9]*\.%s'); do screen -S ${session} -X quit; done" % self.name) # Config hook def config(self, **kwargs): # Init steps Host.config(self, **kwargs) # Iterate over the interfaces for intf in self.intfs.values(): # Remove any configured address self.exec_cmd('ifconfig %s 0' % intf.name) # Let's write the hostname in /var/mininet/hostname self.exec_cmd("echo '" + self.name + "' > /var/mininet/hostname") # Let's write the hostname self.exec_cmd("echo 'HOSTNAME=%s' > %s/%s" % (self.name, self.dir, HOSTNAME_SH)) # Let's write the id uuid = generate_uuid() self.exec_cmd("echo 'DEVICEID=%s' > %s/%s" % (uuid, self.dir, DEVICEID_SH)) # Let's write the neighbors if kwargs.get('neighs', None) is not None: neighs_sh = '%s/%s' % (self.dir, NEIGHS_SH) with open(neighs_sh, 'w') as outfile: # Create header neighs = "declare -a NEIGHS=(" # Iterate over neighbor ips for neigh in kwargs['neighs']: # Add the neighs one by one neighs = neighs + "%s " % neigh if kwargs['neighs'] != []: # Eliminate last character neighs = neighs[:-1] + ")\n" else: neighs = neighs + ")\n" # Write on the file outfile.write(neighs) # Let's write the interfaces if kwargs.get('interfaces', None) is not None: interfaces_sh = '%s/%s' % (self.dir, INTERFACES_SH) with open(interfaces_sh, 'w') as outfile: # Create header interfaces = "declare -A INTERFACES=(" # Iterate over interfaces for (neigh, intf) in kwargs['interfaces']: # Add the interfaces one by one interfaces = interfaces + '[%s]=%s ' % (neigh, intf) if kwargs['interfaces'] != []: # Eliminate last character interfaces = interfaces[:-1] + ")\n" else: interfaces = interfaces + ")\n" # Write on the file outfile.write(interfaces) # Retrieve nets self.nets = list() if kwargs.get('nets', None) is not None: self.nets = kwargs['nets'] # If requested if kwargs.get('sshd', False): # Let's start sshd daemon in the hosts self.exec_cmd('/usr/sbin/sshd -D &') # Configure the loopback address if kwargs.get('loopbackip', None) is not None: self.exec_cmd('ip a a %s dev lo' % (kwargs['loopbackip'])) self.nets.append({ 'intf': 'lo', 'ip': kwargs['loopbackip'], 'net': kwargs['loopbackip']}) # Enable IPv6 forwarding self.exec_cmd("sysctl -w net.ipv6.conf.all.forwarding=1") # Enable IPv4 forwarding self.exec_cmd("sysctl -w net.ipv4.conf.all.forwarding=1") # Disable Reverse Path Forwarding filter self.exec_cmd("sysctl -w net.ipv4.conf.all.rp_filter=0") # Enable SRv6 on the interface self.exec_cmd("sysctl -w net.ipv6.conf.all.seg6_enabled=1") # Disable RA accept (stateless address autoconfiguration) self.exec_cmd("sysctl -w net.ipv6.conf.all.accept_ra=0") # Force Linux to keep all IPv6 addresses on an interface down event self.exec_cmd("sysctl -w net.ipv6.conf.all.keep_addr_on_down=1") # Iterate over the interfaces for intf in self.intfs.values(): # Enable IPv6 forwarding self.exec_cmd( "sysctl -w net.ipv6.conf.%s.forwarding=1" % intf.name) # Enable IPv4 forwarding self.exec_cmd( "sysctl -w net.ipv4.conf.%s.forwarding=1" % intf.name) # Disable Reverse Path Forwarding filter self.exec_cmd("sysctl -w net.ipv4.conf.%s.rp_filter=0" % intf.name) # Enable SRv6 on the interface self.exec_cmd( "sysctl -w net.ipv6.conf.%s.seg6_enabled=1" % intf.name) # Disable RA accept (stateless address autoconfiguration) self.exec_cmd("sysctl -w net.ipv6.conf.%s.accept_ra=0" % intf.name) # Force Linux to keep all IPv6 addresses on an interface down event self.exec_cmd( "sysctl -w net.ipv6.conf.%s.keep_addr_on_down=1" % intf.name) # Zebra and Quagga config if len(self.nets) > 0: if kwargs.get('use_ipv4_addressing', False): self.start_zebra_ipv4(**kwargs) if kwargs.get('enable_ospf', False): self.start_ospfd(**kwargs) self.start_staticd_ipv4(**kwargs) else: self.start_zebra_ipv6(**kwargs) if kwargs.get('enable_ospf', False): self.start_ospf6d(**kwargs) self.start_staticd_ipv6(**kwargs) # Let's write the interfaces if kwargs.get('nodes', None) is not None: nodes_sh = '%s/%s' % (self.dir, NODES_SH) with open(nodes_sh, 'w') as outfile: # Create header nodes = "declare -A NODES=(" # Iterate over nodes for node, ip in kwargs['nodes'].items(): # Add the nodes one by one nodes = nodes + '[%s]=%s ' % (node, ip) if kwargs['nodes'] != []: # Eliminate last character nodes = nodes[:-1] + ")\n" else: nodes = nodes + ")\n" # Write on the file outfile.write(nodes) # Let's write the ips ips_sh = '%s/%s' % (self.dir, IPS_SH) with open(ips_sh, 'w') as outfile: # Create header ips = "declare -A IPS=(" # Iterate over ips for net in self.nets: # Add the ips one by one ip = net['ip'].split('/')[0] ips = ips + '[%s]=%s ' % (net['intf'], ip) if self.nets != []: # Eliminate last character ips = ips[:-1] + ")\n" else: ips = ips + ")\n" # Write on the file outfile.write(ips) # Add python path to PATH environment variable # This solves the issue of python commands executed # outside the virtual environment self.exec_cmd('export PATH=%s:$PATH' % os.path.dirname(PYTHON_PATH)) self.exec_cmd('export SCREENDIR=/run/screen/S-%s' % self.name) # Run scripts scripts = '' for script in kwargs.get('scripts', []): # Change directory to the host dir self.exec_cmd('cd %s' % self.dir) # Get full path script_path = os.path.abspath(os.path.join('scripts', script)) # Append the script to the scripts scripts += script_path + ' & ' if scripts != '': # This line forces screen to keep opened # after the scripts termination scripts = scripts[:-3] + '; exec bash' # Execute the scripts self.exec_cmd("screen -dmS %s bash -c '%s'" % (self.name, scripts)) # Configure and start zebra for IPv6 emulation def start_zebra_ipv6(self, **kwargs): # Zebra and FRR config if len(self.nets) > 0: zebra = open("%s/zebra.conf" % self.dir, 'w') zebra.write("! -*- zebra -*-\n!\nhostname %s\n" % self.name) zebra.write("password srv6\nenable password srv6\n" "log file %s/zebra.log\n!\n" % self.dir) # Iterate over the nets and build interface part of the configs for net in self.nets: # Non-loopback interface if net['intf'] != 'lo': # Set the IPv6 address and the network # discovery prefix in the zebra configuration zebra.write("interface %s\n" " link-detect\n" " bandwidth %s\n" " no ipv6 nd suppress-ra\n" " ipv6 nd ra-interval %s\n" " ipv6 address %s\n" " ipv6 nd prefix %s\n!\n" % (net['intf'], min(net['bw']*1000, 100000), RA_INTERVAL, net['ip'], net['net'])) zebra.close() # Right permission and owners self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start daemons self.exec_cmd("zebra -f %s/zebra.conf -d -z %s/zebra.sock -i " "%s/zebra.pid" % (self.dir, self.dir, self.dir)) def start_staticd_ipv4(self, **kwargs): staticd = open("%s/staticd.conf" % self.dir, 'w') staticd.write("! -*- staticd -*-\n!\nhostname %s\n" % self.name) staticd.write("password srv6\nlog file %s/staticd.log\n!\n" % self.dir) # Configure the default via default_via = kwargs.get('default_via', None) if default_via is not None: staticd.write("ip route %s %s\n" % ('0.0.0.0/0', default_via)) # Configure the routes if kwargs.get('routes', None): for route in kwargs['routes']: dest = route['dest'] via = route['via'] staticd.write("ip route %s %s\n" % (dest, via)) staticd.close() self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start daemons self.exec_cmd("staticd -f %s/staticd.conf -d -z %s/zebra.sock -i " "%s/staticd.pid" % (self.dir, self.dir, self.dir)) def start_staticd_ipv6(self, **kwargs): staticd = open("%s/staticd.conf" % self.dir, 'w') staticd.write("! -*- staticd -*-\n!\nhostname %s\n" % self.name) staticd.write("password srv6\nlog file %s/staticd.log\n!\n" % self.dir) # Configure the default via default_via = kwargs.get('default_via', None) if default_via is not None: staticd.write("ipv6 route %s %s\n" % ('::/0', default_via)) # Add static route for router network if kwargs.get('routernet', None): routernet = kwargs['routernet'] staticd.write("ipv6 route %s lo\n!\n" % routernet) # Configure the routes if kwargs.get('routes', None): for route in kwargs['routes']: dest = route['dest'] via = route['via'] staticd.write("ipv6 route %s %s\n" % (dest, via)) staticd.close() self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start zebra daemon self.exec_cmd("staticd -f %s/staticd.conf -d -z %s/zebra.sock -i " "%s/staticd.pid" % (self.dir, self.dir, self.dir)) # Configure and start ospf6d for IPv6 emulation def start_ospf6d(self, **kwargs): # Zebra and Quagga config if len(self.nets) > 0: ospfd = open("%s/ospf6d.conf" % self.dir, 'w') ospfd.write("! -*- ospf6 -*-\n!\nhostname %s\n" % self.name) ospfd.write("password srv6\n" "log file %s/ospf6d.log\n!\n" % self.dir) # Iterate over the nets and build interface part of the configs for net in self.nets: # Link cost for the interface cost = net.get('cost', None) # Non-loopback interface if net['intf'] != 'lo': if net['stub']: # Stub network # Set OSPF6 parameters and mark the network as # passive in order to advertise the interface as # a stub link if cost is not None: ospfd.write("interface %s\n" " ipv6 ospf6 passive\n" " ipv6 ospf6 cost %s\n" " ipv6 ospf6 hello-interval %s\n" " ipv6 ospf6 dead-interval %s\n" " ipv6 ospf6 retransmit-interval %s\n" "!\n" % (net['intf'], cost, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: ospfd.write("interface %s\n" " ipv6 ospf6 passive\n" " ipv6 ospf6 hello-interval %s\n" " ipv6 ospf6 dead-interval %s\n" " ipv6 ospf6 retransmit-interval %s\n" "!\n" % (net['intf'], HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: # Transit network if cost is not None: ospfd.write("interface %s\n" " no ipv6 ospf6 passive\n" " ipv6 ospf6 cost %s\n" " ipv6 ospf6 hello-interval %s\n" " ipv6 ospf6 dead-interval %s\n" " ipv6 ospf6 retransmit-interval %s\n" "!\n" % (net['intf'], cost, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: ospfd.write("interface %s\n" " no ipv6 ospf6 passive\n" " ipv6 ospf6 hello-interval %s\n" " ipv6 ospf6 dead-interval %s\n" " ipv6 ospf6 retransmit-interval %s\n" "!\n" % (net['intf'], HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) # Finishing ospf6d conf if kwargs.get('routerid', None): routerid = kwargs['routerid'] ospfd.write("router ospf6\n" " ospf6 router-id %s\n" " redistribute static\n!\n" % routerid) ospfd.write(" area 0.0.0.0 range %s\n" % RANGE_FOR_AREA_0) # Iterate again over the nets to finish area part for net in self.nets: if net.get('is_private', False): ospfd.write(" no interface %s area 0.0.0.0\n" % (net['intf'])) else: ospfd.write(" interface %s area 0.0.0.0\n" % (net['intf'])) ospfd.write("!\n") ospfd.close() # Right permission and owners self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start ospf6d daemon self.exec_cmd("ospf6d -f %s/ospf6d.conf -d -z %s/zebra.sock -i " "%s/ospf6d.pid" % (self.dir, self.dir, self.dir)) # Configure and start zebra for IPv4 emulation def start_zebra_ipv4(self, **kwargs): # Zebra and Quagga config if len(self.nets) > 0: zebra = open("%s/zebra.conf" % self.dir, 'w') zebra.write("! -*- zebra -*-\n!\nhostname %s\n" % self.name) zebra.write("password srv6\nenable password srv6\n" "log file %s/zebra.log\n!\n" % self.dir) # Iterate over the nets and build interface part of the configs for net in self.nets: # Non-loopback interface if net['intf'] != 'lo': # Set the IPv6 address and the network # discovery prefix in the zebra configuration zebra.write("interface %s\n" " link-detect\n" " bandwidth %s\n" " ip address %s\n!\n" % (net['intf'], min(net['bw']*1000, 100000), net['ip'])) zebra.close() # Right permission and owners self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start zebra daemon self.exec_cmd("zebra -f %s/zebra.conf -d -z %s/zebra.sock -i " "%s/zebra.pid" % (self.dir, self.dir, self.dir)) # Configure and start ospfd for IPv4 emulation def start_ospfd(self, **kwargs): # Zebra and Quagga config if len(self.nets) > 0: ospfd = open("%s/ospfd.conf" % self.dir, 'w') ospfd.write("! -*- ospf -*-\n!\nhostname %s\n" % self.name) ospfd.write("password srv6\nlog file %s/ospfd.log\n!\n" % self.dir) # Iterate over the nets and build interface part of the configs for net in self.nets: # Link cost for the interface cost = net.get('cost', None) # Non-loopback interface if net['intf'] != 'lo': # Check if the interface is private enable_ospf = 'no ' if net.get('is_private', False) else '' if net['stub']: # Stub network # Set OSPF6 parameters and mark the network as # passive in order to advertise the interface as # a stub link if cost is not None: ospfd.write("interface %s\n" " %sip ospf area 0.0.0.0\n" " ip ospf cost %s\n" " ip ospf hello-interval %s\n" " ip ospf dead-interval %s\n" " ip ospf retransmit-interval %s\n" "!\n" % (net['intf'], enable_ospf, cost, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: ospfd.write("interface %s\n" " %sip ospf area 0.0.0.0\n" " ip ospf hello-interval %s\n" " ip ospf dead-interval %s\n" " ip ospf retransmit-interval %s\n" "!\n" % (net['intf'], enable_ospf, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: # Transit network if cost is not None: ospfd.write("interface %s\n" " %sip ospf area 0.0.0.0\n" " ip ospf cost %s\n" " ip ospf hello-interval %s\n" " ip ospf dead-interval %s\n" " ip ospf retransmit-interval %s\n" "!\n" % (net['intf'], enable_ospf, cost, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) else: ospfd.write("interface %s\n" " %sip ospf area 0.0.0.0\n" " ip ospf hello-interval %s\n" " ip ospf dead-interval %s\n" " ip ospf retransmit-interval %s\n" "!\n" % (net['intf'], enable_ospf, HELLO_INTERVAL, DEAD_INTERVAL, RETRANSMIT_INTERVAL)) # Finishing ospf6d conf if kwargs.get('routerid', None): routerid = kwargs['routerid'] ospfd.write("router ospf\n" " ospf router-id %s\n" " redistribute static\n!\n" % routerid) for net in self.nets: if net.get('stub', False): ospfd.write(" passive-interface %s\n!\n" % net['intf']) else: ospfd.write(" no passive-interface %s\n!\n" % net['intf']) ospfd.write("!\n") ospfd.close() # Right permission and owners self.exec_cmd("chown frr /var/run") self.exec_cmd("chown frr %s/*.conf" % self.dir) self.exec_cmd("chown frr %s/." % self.dir) self.exec_cmd("chmod 640 %s/*.conf" % self.dir) # Start ospfd daemon self.exec_cmd("ospfd -f %s/ospfd.conf -d -z %s/zebra.sock -i " "%s/ospfd.pid" % (self.dir, self.dir, self.dir)) # Terminate node def terminate(self): # Stop screen session #self.exec_cmd('screen -XS %s quit' % self.name) self.exec_cmd("for session in $(screen -ls | grep -o '[0-9]*\.%s'); do screen -S ${session} -X quit; done" % self.name) Host.terminate(self) # Clean up the environment def cleanup(self): Host.cleanup(self) # Rm dir if os.path.exists(self.dir): shutil.rmtree(self.dir) # Abstraction to model a MHost class MHost(Host): def __init__(self, name, *args, **kwargs): dirs = ['/var/mininet'] Host.__init__(self, name, privateDirs=dirs, *args, **kwargs) self.dir = "/tmp/%s" % name self.nets = [] if os.path.exists(self.dir): shutil.rmtree(self.dir) if not os.path.exists(self.dir): os.makedirs(self.dir) if kwargs.get('debug', False): self.exec_cmd = self.cmdPrint else: self.exec_cmd = self.cmd self.exec_cmd("for session in $(screen -ls | grep -o '[0-9]*\.%s'); do screen -S ${session} -X quit; done" % self.name) # Config hook def config(self, **kwargs): # Init steps Host.config(self, **kwargs) # Iterate over the interfaces for intf in self.intfs.values(): # Remove any configured address self.exec_cmd('ip a flush dev %s scope global' % intf.name) # Let's write the hostname in /var/mininet/hostname self.exec_cmd("echo '" + self.name + "' > /var/mininet/hostname") # Let's write the hostname self.exec_cmd("echo 'HOSTNAME=%s' > %s/%s" % (self.name, self.dir, HOSTNAME_SH)) # Let's write the id uuid = generate_uuid() self.exec_cmd("echo 'DEVICEID=%s' > %s/%s" % (uuid, self.dir, DEVICEID_SH)) # Let's write the neighbors if kwargs.get('neighs', None) is not None: neighs_sh = '%s/%s' % (self.dir, NEIGHS_SH) with open(neighs_sh, 'w') as outfile: # Create header neighs = "declare -a NEIGHS=(" # Iterate over neighbors for neigh in kwargs['neighs']: # Add the neighs one by one neighs = neighs + "%s " % neigh if kwargs['neighs'] != []: # Eliminate last character neighs = neighs[:-1] + ")\n" else: neighs = neighs + ")\n" # Write on the file outfile.write(neighs) # Let's write the interfaces if kwargs.get('interfaces', None) is not None: interfaces_sh = '%s/%s' % (self.dir, INTERFACES_SH) with open(interfaces_sh, 'w') as outfile: # Create header interfaces = "declare -A INTERFACES=(" # Iterate over interfaces for (neigh, intf) in kwargs['interfaces']: # Add the interfaces one by one interfaces = interfaces + '[%s]=%s ' % (neigh, intf) if kwargs['interfaces'] != []: # Eliminate last character interfaces = interfaces[:-1] + ")\n" else: interfaces = interfaces + ")\n" # Write on the file outfile.write(interfaces) # Let's write the ips ips_sh = '%s/%s' % (self.dir, IPS_SH) with open(ips_sh, 'w') as outfile: # Create header ips = "declare -A IPS=(" # Iterate over ips for net in self.nets: # Add the ips one by one ip = net['ip'].split('/')[0] ips = ips + '[%s]=%s ' % (net['intf'], ip) if self.nets != []: # Eliminate last character ips = ips[:-1] + ")\n" else: ips = ips + ")\n" # Write on the file outfile.write(ips) # Retrieve nets self.nets = list() if kwargs.get('nets', None) is not None: self.nets = kwargs['nets'] # If requested if kwargs.get('sshd', False): # Let's start sshd daemon in the hosts self.exec_cmd('/usr/sbin/sshd -D &') # Configure the loopback address if kwargs.get('loopbackip', None) is not None: self.exec_cmd('ip a a %s dev lo' % (kwargs['loopbackip'])) self.nets.append({ 'intf': 'lo', 'ip': kwargs['loopbackip'], 'net': kwargs['loopbackip']}) # Disable IPv6 address autoconfiguration self.exec_cmd('sysctl -w net.ipv6.conf.all.autoconf=0') # Enable RA accept (stateless address autoconfiguration) self.exec_cmd('sysctl -w net.ipv6.conf.all.accept_ra=1') # Force Linux to keep all IPv6 addresses on an interface down event self.exec_cmd("sysctl -w net.ipv6.conf.all.keep_addr_on_down=1") # Iterate over the interfaces for intf in self.intfs.values(): # Disable IPv6 address autoconfiguration on the interface # The addresses are configured by this script self.exec_cmd("sysctl -w net.ipv6.conf.%s.autoconf=0" % intf.name) # Accept Router Advertisements messages # Used to set a default via in the routing tables self.exec_cmd("sysctl -w net.ipv6.conf.%s.accept_ra=1" % intf.name) # Force Linux to keep all IPv6 addresses on an interface down event self.exec_cmd("sysctl -w net.ipv6.conf.%s.keep_addr_on_down=1" % intf.name) for net in self.nets: # Set the address self.exec_cmd('ip a a %s dev %s' % (net['ip'], net['intf'])) # Configure the default via default_via = kwargs.get('default_via', None) if default_via is not None: self.exec_cmd('ip r d default') self.exec_cmd('ip -6 r d default') self.exec_cmd('ip r a default via %s' % default_via) # Configure the routes for route in kwargs.get('routes', []): dest = route['dest'] via = route['via'] self.exec_cmd("ip route add %s via %s\n" % (dest, via)) # Let's write the interfaces if kwargs.get('nodes', None) is not None: nodes_sh = '%s/%s' % (self.dir, NODES_SH) with open(nodes_sh, 'w') as outfile: # Create header nodes = "declare -A NODES=(" # Iterate over nodes for node, ip in kwargs['nodes'].items(): # Add the nodes one by one nodes = nodes + '[%s]=%s ' % (node, ip) if kwargs['nodes'] != []: # Eliminate last character nodes = nodes[:-1] + ")\n" else: nodes = nodes + ")\n" # Write on the file outfile.write(nodes) # Add python path to PATH environment variable # This solves the issue of python commands executed # outside the virtual environment self.exec_cmd('export PATH=%s:$PATH' % os.path.dirname(PYTHON_PATH)) self.exec_cmd('export SCREENDIR=/run/screen/S-%s' % self.name) # Run scripts scripts = '' for script in kwargs.get('scripts', []): # Change directory to the host dir self.exec_cmd('cd %s' % self.dir) # Get full path script_path = os.path.abspath(os.path.join('scripts', script)) # Append the script to the scripts scripts += script_path + ' & ' if scripts != '': # This line forces screen to keep opened # after the scripts termination scripts = scripts[:-3] + '; exec bash' # Execute the scripts self.exec_cmd("screen -dmS %s bash -c '%s'" % (self.name, scripts)) # Terminate node def terminate(self): # Stop screen session #self.exec_cmd('screen -XS %s quit' % self.name) self.exec_cmd("for session in $(screen -ls | grep -o '[0-9]*\.%s'); do screen -S ${session} -X quit; done" % self.name) Host.terminate(self) # Clean up the environment def cleanup(self): Host.cleanup(self) # Rm dir if os.path.exists(self.dir): shutil.rmtree(self.dir) # Abstraction to model a SRv6Controller class SRv6Controller(MHost): # Config hook def config(self, **kwargs): MHost.config(self, **kwargs) # Abstraction to model a SRv6Firewall class WANRouter(MHost): # Config hook def config(self, **kwargs): MHost.config(self, **kwargs) # Enable IPv6 forwarding self.exec_cmd("sysctl -w net.ipv6.conf.all.forwarding=1") # Enable IPv4 forwarding self.exec_cmd("sysctl -w net.ipv4.conf.all.forwarding=1")

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null

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7

d34b6cf97e4453aca00c87921d4709acdc7114eb

152

py

Python

netrino/models/__init__.py

HieronymusCrouse/netrino

dcecbfa8a4e5f79c6f74fb1a711698e384feee7e

[ "BSD-3-Clause" ]

2

2018-05-17T15:50:54.000Z

2019-05-16T16:57:30.000Z

netrino/models/__init__.py

HieronymusCrouse/netrino

dcecbfa8a4e5f79c6f74fb1a711698e384feee7e

[ "BSD-3-Clause" ]

46

2018-04-18T08:37:50.000Z

2019-06-06T13:15:13.000Z

netrino/models/__init__.py

HieronymusCrouse/netrino

dcecbfa8a4e5f79c6f74fb1a711698e384feee7e

[ "BSD-3-Clause" ]

8

2018-02-26T08:16:24.000Z

2019-12-27T12:11:05.000Z

import netrino.models.processes import netrino.models.workflows import netrino.models.products import netrino.models.orders import netrino.models.tasks

25.333333

31

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7

d39664cbf05170bd7fe6af082d49eb5e6c01e5e6

30,849

py

Python

etcmodel/models/openkp/generate_examples_lib_test.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

1

2022-03-13T21:48:52.000Z

etcmodel/models/openkp/generate_examples_lib_test.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

null

etcmodel/models/openkp/generate_examples_lib_test.py

gunpowder78/google-research

d41bbaca1eb9bfd980ec2b3fd201c3ddb4d1f2e5

[ "Apache-2.0" ]

1

2022-03-30T07:20:29.000Z

# coding=utf-8 # Copyright 2022 The Google Research Authors. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for generate_examples_lib.""" import json import os from absl.testing import absltest from etcmodel.models import tokenization from etcmodel.models.openkp import generate_examples_lib as lib VOCAB_PATH = 'etcmodel/models/openkp/test_data/vocab.txt' LONG_WORD_FIRST_OCCURRENCE1 = [ 0, 1, 2, 3, 4, 5, 6, 5, 6, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, ] LONG_WORD_FIRST_OCCURRENCE2 = [ 0, 1, 2, 3, 4, 5, 6, 5, 6, 9, 10, 11, 11, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, ] LONG_WORD_FIRST_OCCURRENCE3 = [ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, ] class GenerateExamplesLibTest(absltest.TestCase): def test_open_kp_example_from_json(self): example_json = r""" { "url": "http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html", "text": "Star Trek Discovery Season 1 Director", "VDOM": "[{\"Id\":0,\"text\":\"Star Trek Discovery Season 1\",\"feature\":[44.0,728.0,78.0,45.0,1.0,0.0,1.0,0.0,20.0,0.0,44.0,728.0,78.0,45.0,1.0,0.0,1.0,0.0,20.0,0.0],\"start_idx\":0,\"end_idx\":5},{\"Id\":0,\"text\":\"Director\",\"feature\":[208.0,49.0,138.0,15.0,0.0,0.0,0.0,0.0,12.0,1.0,198.0,564.0,138.0,15.0,1.0,0.0,0.0,0.0,12.0,1.0],\"start_idx\":5,\"end_idx\":6}]", "KeyPhrases": [ [ "Star", "Trek" ], [ "Jason", "Isaacs" ], [ "Doug", "Jones" ] ] } """ example = lib.OpenKpExample.from_json(example_json) expected = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text='Star Trek Discovery Season 1 Director', vdom=[ lib.VdomElement( id=0, text='Star Trek Discovery Season 1', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=5), lib.VdomElement( id=0, text='Director', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=5, end_idx=6) ], key_phrases=[ lib.KeyPhrase(['Star', 'Trek']), lib.KeyPhrase(['Jason', 'Isaacs']), lib.KeyPhrase(['Doug', 'Jones']), ]) self.assertEqual(expected, example) def test_open_kp_example_from_json_unlabeled(self): example_json = r""" { "url": "http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html", "text": "Star Trek Discovery Season 1 Director", "VDOM": "[{\"Id\":0,\"text\":\"Star Trek Discovery Season 1\",\"feature\":[44.0,728.0,78.0,45.0,1.0,0.0,1.0,0.0,20.0,0.0,44.0,728.0,78.0,45.0,1.0,0.0,1.0,0.0,20.0,0.0],\"start_idx\":0,\"end_idx\":5},{\"Id\":0,\"text\":\"Director\",\"feature\":[208.0,49.0,138.0,15.0,0.0,0.0,0.0,0.0,12.0,1.0,198.0,564.0,138.0,15.0,1.0,0.0,0.0,0.0,12.0,1.0],\"start_idx\":5,\"end_idx\":6}]" } """ example = lib.OpenKpExample.from_json(example_json) expected = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text='Star Trek Discovery Season 1 Director', vdom=[ lib.VdomElement( id=0, text='Star Trek Discovery Season 1', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=5), lib.VdomElement( id=0, text='Director', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=5, end_idx=6) ], key_phrases=None) self.assertEqual(expected, example) def test_vdom_element_from_dict(self): vdom_element_json = """ { "Id": 0, "text": "Director", "feature": [ 208.0, 49.0, 138.0, 15.0, 0.0, 0.0, 0.0, 0.0, 12.0, 1.0, 198.0, 564.0, 138.0, 15.0, 1.0, 0.0, 0.0, 0.0, 12.0, 1.0 ], "start_idx": 5, "end_idx": 6 } """ vdom_element = lib.VdomElement.from_dict(json.loads(vdom_element_json)) expected = lib.VdomElement( id=0, text='Director', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=5, end_idx=6) self.assertEqual(expected, vdom_element) def test_font_size_cutoffs(self): # Cutoffs must be unique. self.assertEqual( len(lib._FONT_SIZE_CUTOFFS), len(set(lib._FONT_SIZE_CUTOFFS))) # Cutoffs must be in increasing order. self.assertEqual(lib._FONT_SIZE_CUTOFFS, sorted(lib._FONT_SIZE_CUTOFFS)) def test_font_size_to_font_id(self): self.assertEqual(0, lib.font_size_to_font_id(0)) self.assertEqual(1, lib.font_size_to_font_id(1)) self.assertEqual(1, lib.font_size_to_font_id(8)) self.assertEqual(2, lib.font_size_to_font_id(9)) self.assertEqual(17, lib.font_size_to_font_id(24)) self.assertEqual(18, lib.font_size_to_font_id(25)) self.assertEqual(18, lib.font_size_to_font_id(29)) self.assertEqual(19, lib.font_size_to_font_id(30)) self.assertEqual(19, lib.font_size_to_font_id(34)) self.assertEqual(20, lib.font_size_to_font_id(35)) self.assertEqual(20, lib.font_size_to_font_id(39)) self.assertEqual(21, lib.font_size_to_font_id(44)) self.assertEqual(22, lib.font_size_to_font_id(49)) self.assertEqual(23, lib.font_size_to_font_id(50)) self.assertEqual(23, lib.font_size_to_font_id(100)) self.assertEqual(24, lib.FONT_ID_VOCAB_SIZE) def test_etc_features_from_open_kp_example(self): example = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text='Star Trek Discovery Season 1 Jason Isaacs Jason Isaacs and Doug', vdom=[ lib.VdomElement( id=0, text='Star Trek Discovery Season 1 Jason', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=6), lib.VdomElement( id=0, text='Isaacs Jason Isaacs and Doug', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=6, end_idx=11) ], key_phrases=[ lib.KeyPhrase(['Star', 'Trek']), lib.KeyPhrase(['Jason', 'Isaacs']) ]) bert_vocab_path = os.path.join(absltest.get_default_test_srcdir(), VOCAB_PATH) config = lib.EtcFeaturizationConfig( long_max_length=16, global_max_length=4, url_max_code_points=80, bert_vocab_path=bert_vocab_path, do_lower_case=True) tokenizer = tokenization.FullTokenizer( config.bert_vocab_path, do_lower_case=config.do_lower_case) etc_features = example.to_etc_features(tokenizer, config) expected = lib.OpenKpEtcFeatures( url_code_points=[ 104, 116, 116, 112, 58, 47, 47, 48, 49, 50, 51, 112, 117, 116, 108, 111, 99, 107, 101, 114, 46, 99, 111, 109, 47, 119, 97, 116, 99, 104, 47, 113, 100, 55, 107, 66, 111, 100, 75, 45, 115, 116, 97, 114, 45, 116, 114, 101, 107, 45, 100, 105, 115, 99, 111, 118, 101, 114, 121, 45, 115, 101, 97, 115, 111, 110, 45, 49, 46, 104, 116, 109, 108, -1, -1, -1, -1, -1, -1, -1 ], label_start_idx=[0, 7, -1], label_phrase_len=[2, 2, -1], long_token_ids=[3, 4, 5, 6, 7, 8, 9, 10, 8, 9, 10, 11, 12, 0, 0, 0], long_word_idx=[0, 1, 2, 3, 4, 5, 6, 6, 7, 8, 8, 9, 10, 0, 0, 0], long_vdom_idx=[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], long_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], long_word_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], long_word_first_occurrence=LONG_WORD_FIRST_OCCURRENCE1, global_token_ids=[1, 1, 1, 1], global_input_mask=[1, 1, 0, 0], global_x_coords=[44.0, 208.0, 0.0, 0.0], global_y_coords=[78.0, 138.0, 0.0, 0.0], global_widths=[728.0, 49.0, 0.0, 0.0], global_heights=[45.0, 15.0, 0.0, 0.0], global_font_ids=[13, 5, 0, 0], global_block_indicator=[1, 0, 0, 0], global_inline_indicator=[0, 0, 0, 0], global_heading_indicator=[1, 0, 0, 0], global_leaf_indicator=[0, 0, 0, 0], global_bold_indicator=[0, 1, 0, 0], global_parent_x_coords=[44.0, 198.0, 0.0, 0.0], global_parent_y_coords=[78.0, 138.0, 0.0, 0.0], global_parent_widths=[728.0, 564.0, 0.0, 0.0], global_parent_heights=[45.0, 15.0, 0.0, 0.0], global_parent_font_ids=[13, 5, 0, 0], global_parent_heading_indicator=[1, 0, 0, 0], global_parent_leaf_indicator=[0, 0, 0, 0], global_parent_bold_indicator=[0, 1, 0, 0]) self.assertEqual(expected, etc_features) def test_etc_features_with_vdom_overflow(self): vdom = [ lib.VdomElement( id=0, text='Star Trek Discovery Season 1 Jason', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=5), lib.VdomElement( id=0, text='Isaacs Jason Isaacs and Doug', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=5, end_idx=8) ] text = 'Star Trek Discovery Season 1 Director Jason Isaacs' text += ' foo' * (20 - 8) vdom.extend([ lib.VdomElement( id=0, text='foo', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=True, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=3110.0, width=92.0, y_coord=123.0, height=75.0, is_block=True, is_inline=False, is_heading=False, is_leaf=True, font_size=13, is_bold=True), start_idx=start_idx, end_idx=start_idx + 1) for start_idx in range(8, 20) ]) example = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text=text, vdom=vdom, key_phrases=[ lib.KeyPhrase(['Star', 'Trek']), lib.KeyPhrase(['Jason', 'Isaacs']), ]) bert_vocab_path = os.path.join(absltest.get_default_test_srcdir(), VOCAB_PATH) config = lib.EtcFeaturizationConfig( long_max_length=16, global_max_length=4, url_max_code_points=80, bert_vocab_path=bert_vocab_path, do_lower_case=True) tokenizer = tokenization.FullTokenizer( config.bert_vocab_path, do_lower_case=config.do_lower_case) etc_features = example.to_etc_features(tokenizer, config) expected = lib.OpenKpEtcFeatures( url_code_points=[ 104, 116, 116, 112, 58, 47, 47, 48, 49, 50, 51, 112, 117, 116, 108, 111, 99, 107, 101, 114, 46, 99, 111, 109, 47, 119, 97, 116, 99, 104, 47, 113, 100, 55, 107, 66, 111, 100, 75, 45, 115, 116, 97, 114, 45, 116, 114, 101, 107, 45, 100, 105, 115, 99, 111, 118, 101, 114, 121, 45, 115, 101, 97, 115, 111, 110, 45, 49, 46, 104, 116, 109, 108, -1, -1, -1, -1, -1, -1, -1 ], label_start_idx=[0, 7, -1], label_phrase_len=[2, 2, -1], long_token_ids=[3, 4, 5, 6, 7, 8, 9, 10, 8, 9, 10, 11, 12, 13, 13, 0], long_word_idx=[0, 1, 2, 3, 4, 5, 6, 6, 7, 8, 8, 9, 10, 11, 12, 0], long_vdom_idx=[0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 2, 3, 0], long_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0], long_word_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], long_word_first_occurrence=LONG_WORD_FIRST_OCCURRENCE2, global_token_ids=[1, 1, 1, 1], global_input_mask=[1, 1, 1, 1], global_x_coords=[44.0, 208.0, 208.0, 208.0], global_y_coords=[78.0, 138.0, 138.0, 138.0], global_widths=[728.0, 49.0, 49.0, 49.0], global_heights=[45.0, 15.0, 15.0, 15.0], global_font_ids=[13, 5, 5, 5], global_block_indicator=[1, 0, 0, 0], global_inline_indicator=[0, 0, 0, 0], global_heading_indicator=[1, 0, 0, 0], global_leaf_indicator=[0, 0, 1, 1], global_bold_indicator=[0, 1, 1, 1], global_parent_x_coords=[44.0, 198.0, 3110.0, 3110.0], global_parent_y_coords=[78.0, 138.0, 123.0, 123.0], global_parent_widths=[728.0, 564.0, 92.0, 92.0], global_parent_heights=[45.0, 15.0, 75.0, 75.0], global_parent_font_ids=[13, 5, 6, 6], global_parent_heading_indicator=[1, 0, 0, 0], global_parent_leaf_indicator=[0, 0, 1, 1], global_parent_bold_indicator=[0, 1, 1, 1]) self.assertEqual(expected, etc_features) def test_etc_features_with_long_overflow(self): text = 'Star Wars and not Trek ' + ' '.join(['star'] * 12) vdom = [ lib.VdomElement( id=0, text='Star Wars and not Trek', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=5), lib.VdomElement( id=0, text=' '.join(['star'] * 99), features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=5, end_idx=17) ] example = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text=text, vdom=vdom, key_phrases=[ lib.KeyPhrase(['Star', 'Wars']), lib.KeyPhrase(['Trek']), ]) bert_vocab_path = os.path.join(absltest.get_default_test_srcdir(), VOCAB_PATH) config = lib.EtcFeaturizationConfig( long_max_length=16, global_max_length=4, url_max_code_points=80, bert_vocab_path=bert_vocab_path, do_lower_case=True) tokenizer = tokenization.FullTokenizer( config.bert_vocab_path, do_lower_case=config.do_lower_case) etc_features = example.to_etc_features(tokenizer, config) expected = lib.OpenKpEtcFeatures( url_code_points=[ 104, 116, 116, 112, 58, 47, 47, 48, 49, 50, 51, 112, 117, 116, 108, 111, 99, 107, 101, 114, 46, 99, 111, 109, 47, 119, 97, 116, 99, 104, 47, 113, 100, 55, 107, 66, 111, 100, 75, 45, 115, 116, 97, 114, 45, 116, 114, 101, 107, 45, 100, 105, 115, 99, 111, 118, 101, 114, 121, 45, 115, 101, 97, 115, 111, 110, 45, 49, 46, 104, 116, 109, 108, -1, -1, -1, -1, -1, -1, -1 ], label_start_idx=[0, 4, -1], label_phrase_len=[2, 1, -1], long_token_ids=[3, 14, 11, 15, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], long_word_idx=[0, 1, 2, 3, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], long_vdom_idx=[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], long_input_mask=[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], long_word_input_mask=[1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], long_word_first_occurrence=LONG_WORD_FIRST_OCCURRENCE3, global_token_ids=[1, 1, 1, 1], global_input_mask=[1, 0, 0, 0], global_x_coords=[44.0, 0, 0, 0], global_y_coords=[78.0, 0, 0, 0], global_widths=[728.0, 0, 0, 0], global_heights=[45.0, 0, 0, 0], global_font_ids=[13, 0, 0, 0], global_block_indicator=[1, 0, 0, 0], global_inline_indicator=[0, 0, 0, 0], global_heading_indicator=[1, 0, 0, 0], global_leaf_indicator=[0, 0, 0, 0], global_bold_indicator=[0, 0, 0, 0], global_parent_x_coords=[44.0, 0, 0, 0], global_parent_y_coords=[78.0, 0, 0, 0], global_parent_widths=[728.0, 0, 0, 0], global_parent_heights=[45.0, 0, 0, 0], global_parent_font_ids=[13, 0, 0, 0], global_parent_heading_indicator=[1, 0, 0, 0], global_parent_leaf_indicator=[0, 0, 0, 0], global_parent_bold_indicator=[0, 0, 0, 0]) self.assertEqual(expected, etc_features) def test_etc_features_fixed_global_blocks(self): example = lib.OpenKpExample( url='http://0123putlocker.com/watch/qd7kBodK-star-trek-discovery-season-1.html', text='Star Trek Discovery Season 1 Jason Isaacs Jason Isaacs and Doug', vdom=[ lib.VdomElement( id=0, text='Star Trek Discovery Season 1 Jason', features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), parent_features=lib.VdomFeatures( x_coord=44.0, width=728.0, y_coord=78.0, height=45.0, is_block=True, is_inline=False, is_heading=True, is_leaf=False, font_size=20, is_bold=False), start_idx=0, end_idx=6), lib.VdomElement( id=0, text='Isaacs Jason Isaacs and Doug', features=lib.VdomFeatures( x_coord=208.0, width=49.0, y_coord=138.0, height=15.0, is_block=False, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), parent_features=lib.VdomFeatures( x_coord=198.0, width=564.0, y_coord=138.0, height=15.0, is_block=True, is_inline=False, is_heading=False, is_leaf=False, font_size=12, is_bold=True), start_idx=6, end_idx=11) ], key_phrases=[ lib.KeyPhrase(['Star', 'Trek']), lib.KeyPhrase(['Jason', 'Isaacs']) ]) bert_vocab_path = os.path.join(absltest.get_default_test_srcdir(), VOCAB_PATH) config = lib.EtcFeaturizationConfig( long_max_length=16, global_max_length=4, url_max_code_points=80, bert_vocab_path=bert_vocab_path, do_lower_case=True, fixed_block_len=4) tokenizer = tokenization.FullTokenizer( config.bert_vocab_path, do_lower_case=config.do_lower_case) etc_features = example.to_etc_features(tokenizer, config) expected = lib.OpenKpEtcFeatures( url_code_points=[ 104, 116, 116, 112, 58, 47, 47, 48, 49, 50, 51, 112, 117, 116, 108, 111, 99, 107, 101, 114, 46, 99, 111, 109, 47, 119, 97, 116, 99, 104, 47, 113, 100, 55, 107, 66, 111, 100, 75, 45, 115, 116, 97, 114, 45, 116, 114, 101, 107, 45, 100, 105, 115, 99, 111, 118, 101, 114, 121, 45, 115, 101, 97, 115, 111, 110, 45, 49, 46, 104, 116, 109, 108, -1, -1, -1, -1, -1, -1, -1 ], label_start_idx=[5, 0, -1], label_phrase_len=[2, 2, -1], long_token_ids=[3, 4, 5, 6, 7, 8, 9, 10, 8, 9, 10, 11, 12, 0, 0, 0], long_word_idx=[0, 1, 2, 3, 4, 5, 6, 6, 7, 8, 8, 9, 10, 0, 0, 0], long_vdom_idx=[0, 0, 0, 0, 1, 1, 1, 1, 2, 2, 2, 2, 3, 0, 0, 0], long_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0], long_word_input_mask=[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0], global_token_ids=[1, 1, 1, 1], global_input_mask=[1, 1, 1, 1], global_x_coords=[], global_y_coords=[], global_widths=[], global_heights=[], global_font_ids=[], global_block_indicator=[], global_inline_indicator=[], global_heading_indicator=[], global_leaf_indicator=[], global_bold_indicator=[], global_parent_x_coords=[], global_parent_y_coords=[], global_parent_widths=[], global_parent_heights=[], global_parent_font_ids=[], global_parent_heading_indicator=[], global_parent_leaf_indicator=[], global_parent_bold_indicator=[]) self.assertEqual(expected, etc_features) if __name__ == '__main__': absltest.main()

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Python

project/frontend/views.py

Rampo0/django_react

c6bfbf642d22ae81251b88448a6f349f2b3c768a

[ "MIT" ]

2

2019-11-30T14:31:37.000Z

2020-01-05T08:37:15.000Z

project/frontend/views.py

Rampo0/django_react

c6bfbf642d22ae81251b88448a6f349f2b3c768a

[ "MIT" ]

null

project/frontend/views.py

Rampo0/django_react

c6bfbf642d22ae81251b88448a6f349f2b3c768a

[ "MIT" ]

null

from django.shortcuts import render def index(request): return render(request , 'frontend/index.html', {}) def error_404_view(request , exception): return render(request , 'frontend/error_404.html', {})

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6c9bdb3851c2e61d0a1bd789791220b6d5e8af48

34,224

py

Python

Updated Code/cnn_class.py

Bharathgc/Evaluating-Fusion-points-for-multi-stream-networks-handling-cross-modal-data

116fe18e1fcc4749b1454003cb774fdd2319ebb3

[ "MIT" ]

7

2018-11-22T07:56:47.000Z

2022-03-24T02:24:10.000Z

Updated Code/cnn_class.py

Bharathgc/Evaluating-Fusion-points-for-multi-stream-networks-handling-cross-modal-data

116fe18e1fcc4749b1454003cb774fdd2319ebb3

[ "MIT" ]

null

Updated Code/cnn_class.py

Bharathgc/Evaluating-Fusion-points-for-multi-stream-networks-handling-cross-modal-data

116fe18e1fcc4749b1454003cb774fdd2319ebb3

[ "MIT" ]

3

2019-07-13T15:15:49.000Z

2021-05-24T08:21:40.000Z

import tensorflow as tf import numpy as np class CNN(object): def __init__(self, num_classes, keep_prob ): super(CNN, self).__init__() #self.NUM_SAMPLES = num_samples #self.WIDTH = width #self.HEIGHT = height self.NUM_CLASSES = num_classes self.KEEP_PROB = keep_prob def conv_layer_relu(self,x, weights, biases, stride, name, relu = 'TRUE', padding = 'SAME'): with tf.variable_scope(name) as scope: weights = tf.get_variable("weights", weights, initializer = tf.truncated_normal_initializer()) biases = tf.get_variable("biases", biases, initializer = tf.truncated_normal_initializer()) conv = tf.nn.conv2d(x, weights, strides= stride, padding = padding, name = scope.name) if relu == 'TRUE': conv = tf.nn.relu(tf.add(conv, biases), name = scope.name + "_relu") return conv def maxpool(self,x, filter_size, stride,name): return tf.nn.max_pool(x, ksize = filter_size, strides = stride, padding = 'VALID', name = name) def fc_relu(self,x, weights, biases, name, relu = 'TRUE'): with tf.variable_scope(name) as scope: weights = tf.get_variable("weights", weights, initializer = tf.truncated_normal_initializer()) biases = tf.get_variable("biases", biases, initializer = tf.truncated_normal_initializer()) fc = tf.add(tf.matmul(x, weights ), biases, name = scope.name) if relu == 'TRUE': fc = tf.nn.relu(fc, name = scope.name + "_relu") return fc def dropout(self,x, name): return tf.nn.dropout(x, self.KEEP_PROB, name = name) def alex_net(self, x): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256]) #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_stream_2(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") return norm2 def alexnet_bottom_2(self,norm2): #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256]) #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_fused2(self,x_1,x_2): stream1=self.alexnet_stream_2(x_1,'stream_1') # top stream stream2=self.alexnet_stream_2(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.alexnet_bottom_2(fuse_point) # bottom stream return fused_output def alexnet_stream_3(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") return conv3 def alexnet_bottom_3(self,conv3): #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256]) #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_fused3(self,x_1,x_2): stream1=self.alexnet_stream_3(x_1,'stream_1') # top stream stream2=self.alexnet_stream_3(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.alexnet_bottom_3(fuse_point) # bottom stream return fused_output def alexnet_stream_4(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") return conv4 def alexnet_bottom_4(self,conv4): #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256]) #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_fused4(self,x_1,x_2): stream1=self.alexnet_stream_4(x_1,'stream_1') # top stream stream2=self.alexnet_stream_4(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.alexnet_bottom_4(fuse_point) # bottom stream return fused_output def alexnet_stream_5(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") return pool3 def alexnet_bottom_5(self,pool3): #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256]) #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_fused5(self,x_1,x_2): stream1=self.alexnet_stream_5(x_1,'stream_1') # top stream stream2=self.alexnet_stream_5(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.alexnet_bottom_5(fuse_point) # bottom stream return fused_output def alexnet_stream_6(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1 layer with relu conv1 = self.conv_layer_relu(x, [11,11,3,96], [96], [1,4,4,1], "alex_conv1") #maxpool_1 pool1 = self.maxpool(conv1,[1,3,3,1], [1,2,2,1], "alex_pool1") #normalization layer after conv1 norm1 = tf.nn.local_response_normalization(pool1, name = "alex_norm1") #conv2 layer with relu conv2 = self.conv_layer_relu(norm1, [5,5,96,256], [256], [1,1,1,1], "alex_conv2") #maxpool_2 pool2 = self.maxpool(conv2,[1,3,3,1], [1,2,2,1], "alex_pool2") #normalization after conv2 norm2 = tf.nn.local_response_normalization(pool2, name = "alex_norm2") #conv3 layer with relu conv3 = self.conv_layer_relu(norm2, [3,3,256,384], [384], [1,1,1,1], "alex_conv3") #conv4 layer with relu conv4 = self.conv_layer_relu(conv3, [3,3,384,384], [384], [1,1,1,1], "alex_conv4") #conv5 layer with relu conv5 = self.conv_layer_relu(conv4, [3,3,384,256], [256], [1,1,1,1], "alex_conv5") #maxpool_2 after conv5 pool3 = self.maxpool(conv5,[1,3,3,1], [1,2,2,1], "alex_pool3") #stretching data into array for fc layers x2 = tf.reshape(pool3,[-1, 6*6*256],name='alex_linear') #fc6 with relu fc6 = self.fc_relu(x2, [6*6*256, 4096], [4096], "alex_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "alex_drop_fc6") return dropout_fc6 def alexnet_bottom_6(self,dropout_fc6): #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "alex_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "alex_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES], [self.NUM_CLASSES], "alex_out", relu = 'FALSE') return out def alexnet_fused6(self,x_1,x_2): stream1=self.alexnet_stream_6(x_1,'stream_1') # top stream stream2=self.alexnet_stream_6(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.alexnet_bottom_6(fuse_point) # bottom stream return fused_output #Implementation of VGG net def vgg_net(self,x): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_stream_2(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") return norm2 def vggnet_bottom_2(self,norm2): #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_fused2(self,x_1,x_2): stream1=self.vggnet_stream_2(x_1,'stream_1') # top stream stream2=self.vggnet_stream_2(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.vggnet_bottom_2(fuse_point) # bottom stream return fused_output def vggnet_stream_3(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") return norm3 def vggnet_bottom_3(self,norm3): #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_fused3(self,x_1,x_2): stream1=self.vggnet_stream_3(x_1,'stream_1') # top stream stream2=self.vggnet_stream_3(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.vggnet_bottom_3(fuse_point) # bottom stream return fused_output def vggnet_stream_4(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") return norm4 def vggnet_bottom_4(self,norm4): #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_fused4(self,x_1,x_2): stream1=self.vggnet_stream_4(x_1,'stream_1') # top stream stream2=self.vggnet_stream_4(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.vggnet_bottom_4(fuse_point) # bottom stream return fused_output def vggnet_stream_5(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") return pool5 def vggnet_bottom_5(self,pool5): #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_fused5(self,x_1,x_2): stream1=self.vggnet_stream_5(x_1,'stream_1') # top stream stream2=self.vggnet_stream_5(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.vggnet_bottom_5(fuse_point) # bottom stream return fused_output def vggnet_stream_6(self,x,scope_name): with tf.variable_scope(scope_name): #reshaping into 4d tensor x = tf.reshape(x , [-1, 224,224,3]) #conv1_1 layer with relu conv1_1 = self.conv_layer_relu(x, [3,3,3,64], [64], [1,1,1,1], "vgg_conv1_1") #conv1_2 layer with relu conv1_2 = self.conv_layer_relu(conv1_1, [3,3,64,64], [64], [1,1,1,1], "vgg_conv1_2") #maxpool 1 pool1 = self.maxpool(conv1_2,[1,2,2,1], [1,2,2,1], "vgg_pool1") #norm layer after pool1 norm1 = tf.nn.local_response_normalization(pool1, name = "vgg_norm1") #conv2_1 layer with relu conv2_1 = self.conv_layer_relu(norm1, [3,3,64,128], [128], [1,1,1,1], "vgg_conv2_1") #conv2_2 layer with relu conv2_2 = self.conv_layer_relu(conv2_1, [3,3,128,128], [128], [1,1,1,1], "vgg_conv2_2") #maxpool 2 pool2 = self.maxpool(conv2_2,[1,2,2,1], [1,2,2,1], "vgg_pool2") #norm layer after pool2 norm2 = tf.nn.local_response_normalization(pool2, name = "vgg_norm2") #conv3_1 layer with relu conv3_1 = self.conv_layer_relu(norm2, [3,3,128,256], [256], [1,1,1,1], "vgg_conv3_1") #conv3_2 layer with relu conv3_2 = self.conv_layer_relu(conv3_1, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_2") #conv3_3 layer with relu conv3_3 = self.conv_layer_relu(conv3_2, [3,3,256,256], [256], [1,1,1,1], "vgg_conv3_3") #maxpool 3 pool3 = self.maxpool(conv3_3,[1,2,2,1], [1,2,2,1], "vgg_pool3") #norm layer after pool3 norm3 = tf.nn.local_response_normalization(pool3, name = "vgg_norm3") #conv4_1 layer with relu conv4_1 = self.conv_layer_relu(norm3, [3,3,256,512], [512], [1,1,1,1], "vgg_conv4_1") #conv4_2 layer with relu conv4_2 = self.conv_layer_relu(conv4_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_2") #conv4_3 layer with relu conv4_3 = self.conv_layer_relu(conv4_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv4_3") #maxpool 4 pool4 = self.maxpool(conv4_3,[1,2,2,1], [1,2,2,1], "vgg_pool4") #norm layer after pool4 norm4 = tf.nn.local_response_normalization(pool4, name = "vgg_norm4") #conv5_1 layer with relu conv5_1 = self.conv_layer_relu(norm4, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_1") #conv5_2 layer with relu conv5_2 = self.conv_layer_relu(conv5_1, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_2") #conv5_3 layer with relu conv5_3 = self.conv_layer_relu(conv5_2, [3,3,512,512], [512], [1,1,1,1], "vgg_conv5_3") #maxpool 5 pool5 = self.maxpool(conv5_3,[1,2,2,1], [1,2,2,1], "vgg_pool5") #reshaping for fc layers x2 = tf.reshape(pool5, [-1, 7*7*512]) #fc6 with relu fc6 = self.fc_relu(x2, [7*7*512, 4096], [4096], "vgg_fc6") #dropout for fc6 dropout_fc6 = self.dropout(fc6, "vgg_drop_fc6") return dropout_fc6 def vggnet_bottom_6(self,dropout_fc6): #fc7 with relu fc7 = self.fc_relu(dropout_fc6, [4096,4096], [4096], "vgg_fc7") #dropout for fc7 dropout_fc7 = self.dropout(fc7, "vgg_drop_fc7") #fc8 or output WITHOUT acivation and dropout out = self.fc_relu(dropout_fc7, [4096, self.NUM_CLASSES],[self.NUM_CLASSES], "vgg_out", relu = 'FALSE') return out def vggnet_fused6(self,x_1,x_2): stream1=self.vggnet_stream_6(x_1,'stream_1') # top stream stream2=self.vggnet_stream_6(x_2,'stream_2') # top stream #fusion by averaging fuse_point=tf.add(stream1,stream2) fuse_point=tf.scalar_mul(1.0/2.0,fuse_point) # joining the network fused_output=self.vggnet_bottom_6(fuse_point) # bottom stream return fused_output

38.979499

107

0.680926

6,207

34,224

3.54213

0.022716

0.032202

0.027836

0.083508

0.962567

0.957473

0.953652

0.950923

0.935777

0

0.138051

0.153167

34,224

878

108

38.979499

0.620558

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0.793911

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null

0

1

0

1

0

null

0

7

6caf2672b0e3927be1c1d07625f7c065c20ab07c

100

py

Python

tests/conftest.py

hoogamaphone/chromathicity

cc882f69ee3e571662be89b2d8ff5a1b34768414

[ "BSD-3-Clause" ]

null

tests/conftest.py

hoogamaphone/chromathicity

cc882f69ee3e571662be89b2d8ff5a1b34768414

[ "BSD-3-Clause" ]

2

2017-06-29T18:34:34.000Z

2017-06-29T18:35:50.000Z

tests/conftest.py

hoogamaphone/chromathicity

cc882f69ee3e571662be89b2d8ff5a1b34768414

[ "BSD-3-Clause" ]

null

from numpy import set_printoptions def pytest_runtest_setup(): set_printoptions(precision=10)

16.666667

34

0.81

13

100

5.923077

0.846154

0.38961

0

0.022989

0.13

100

5

35

20

0.862069

0

1

0.333333

true

0

0.333333

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

8

9f029b0dd52c36de778b26f95bf5cd987740c393

243

py

Python

pyscf/prop/ssc/__init__.py

nmardirossian/pyscf

57c8912dcfcc1157a822feede63df54ed1067115

[ "BSD-2-Clause" ]

1

2018-05-02T19:55:30.000Z

pyscf/prop/ssc/__init__.py

nmardirossian/pyscf

57c8912dcfcc1157a822feede63df54ed1067115

[ "BSD-2-Clause" ]

null

pyscf/prop/ssc/__init__.py

nmardirossian/pyscf

57c8912dcfcc1157a822feede63df54ed1067115

[ "BSD-2-Clause" ]

1

2018-12-06T03:10:50.000Z

#!/usr/bin/env python from pyscf.prop.ssc import rhf from pyscf.prop.ssc import uhf from pyscf.prop.ssc import dhf from pyscf.prop.ssc.rhf import SSC as RHF from pyscf.prop.ssc.uhf import SSC as UHF from pyscf.prop.ssc.dhf import SSC as DHF

24.3

41

0.777778

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243

3.857143

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0.285714

0.412698

0.507937

0.582011

0

0.139918

243

9

42

27

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0.082305

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

9f2492453775182013994e3660350fc4889b3a60

6,769

py

Python

benchmarks/T/CopyValueBHE/CopyValue.py

GeoStat-Framework/ogs5py_benchmarks

0b6db19b87cfad36459757f99ce2458f8e12b20b

[ "BSD-4-Clause" ]

3

2019-01-15T17:38:11.000Z

2020-01-07T23:44:12.000Z

benchmarks/T/CopyValueBHE/CopyValue.py

GeoStat-Framework/ogs5py_benchmarks

0b6db19b87cfad36459757f99ce2458f8e12b20b

[ "BSD-4-Clause" ]

1

2020-05-12T09:18:09.000Z

2020-05-12T10:48:32.000Z

benchmarks/T/CopyValueBHE/CopyValue.py

GeoStat-Framework/ogs5py_benchmarks

0b6db19b87cfad36459757f99ce2458f8e12b20b

[ "BSD-4-Clause" ]

1

2020-01-08T13:28:50.000Z

# -*- coding: utf-8 -*- from ogs5py import OGS model = OGS( task_root='CopyValue_root', task_id='CopyValue', output_dir='out', ) model.msh.read_file('CopyValue.msh') model.gli.read_file('CopyValue.gli') model.pcs.add_block( main_key='PROCESS', PCS_TYPE='LIQUID_FLOW', NUM_TYPE='NEW', BOUNDARY_CONDITION_OUTPUT=[], DEACTIVATED_SUBDOMAIN=[ [1], [1], ], ) model.pcs.add_block( main_key='PROCESS', PCS_TYPE='HEAT_TRANSPORT', NUM_TYPE='NEW', BOUNDARY_CONDITION_OUTPUT=[], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POINT', 'P00'], DIS_TYPE=['CONSTANT', 109810.0], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POINT', 'P01'], DIS_TYPE=['CONSTANT', 109810.0], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POINT', 'P02'], DIS_TYPE=['CONSTANT', 109810.0], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POLYLINE', 'BC_LOW_LEFT'], DIS_TYPE=['CONSTANT', 109810.0], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POLYLINE', 'BC_LOW_RIGHT'], DIS_TYPE=['CONSTANT', 109810.0], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='HEAT_TRANSPORT', PRIMARY_VARIABLE='TEMPERATURE1', GEO_TYPE=['POINT', 'P00'], DIS_TYPE=['CONSTANT', 283], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='HEAT_TRANSPORT', PRIMARY_VARIABLE='TEMPERATURE1', GEO_TYPE=['POINT', 'P02'], DIS_TYPE=['CONSTANT', 283], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='HEAT_TRANSPORT', PRIMARY_VARIABLE='TEMPERATURE1', GEO_TYPE=['POLYLINE', 'BC_UP_LEFT'], DIS_TYPE=['CONSTANT', 303], ) model.bc.add_block( main_key='BOUNDARY_CONDITION', PCS_TYPE='HEAT_TRANSPORT', PRIMARY_VARIABLE='TEMPERATURE1', GEO_TYPE=['POLYLINE', 'BC_LOW_RIGHT'], DIS_TYPE=['CONSTANT', 1], COPY_VALUE=['POINT', 'P07'], ) model.ic.add_block( main_key='INITIAL_CONDITION', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE='DOMAIN', DIS_TYPE=['CONSTANT', 100000.0], ) model.ic.add_block( main_key='INITIAL_CONDITION', PCS_TYPE='HEAT_TRANSPORT', PRIMARY_VARIABLE='TEMPERATURE1', GEO_TYPE='DOMAIN', DIS_TYPE=['CONSTANT', 283.0], ) model.st.add_block( main_key='SOURCE_TERM', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POLYLINE', 'BC_UP_LEFT'], DIS_TYPE=['CONSTANT_NEUMANN', 0.00312], ) model.st.add_block( main_key='SOURCE_TERM', PCS_TYPE='LIQUID_FLOW', PRIMARY_VARIABLE='PRESSURE1', GEO_TYPE=['POLYLINE', 'BC_UP_RIGHT'], DIS_TYPE=['CONSTANT_NEUMANN', -0.00312], ) model.mmp.add_block( main_key='MEDIUM_PROPERTIES', GEOMETRY_DIMENSION=2, GEOMETRY_AREA=1.0, POROSITY=[1, 0.25], TORTUOSITY=[1, 1.0], STORAGE=[1, 0.0], PERMEABILITY_TENSOR=['ISOTROPIC', 2e-07], DENSITY=[1, 1000], HEAT_DISPERSION=[1, 0.01, 0.01], ) model.mmp.add_block( main_key='MEDIUM_PROPERTIES', GEOMETRY_DIMENSION=2, GEOMETRY_AREA=1.0, POROSITY=[1, 0.25], TORTUOSITY=[1, 1.0], STORAGE=[1, 0.0], PERMEABILITY_TENSOR=['ISOTROPIC', 2e-14], DENSITY=[1, 940], HEAT_DISPERSION=[1, 0.001, 0.001], ) model.mmp.add_block( main_key='MEDIUM_PROPERTIES', GEOMETRY_DIMENSION=2, GEOMETRY_AREA=1.0, POROSITY=[1, 0.25], TORTUOSITY=[1, 1.0], STORAGE=[1, 0.0], PERMEABILITY_TENSOR=['ISOTROPIC', 2e-14], DENSITY=[1, 1980], HEAT_DISPERSION=[1, 0.001, 0.001], ) model.mmp.add_block( main_key='MEDIUM_PROPERTIES', GEOMETRY_DIMENSION=2, GEOMETRY_AREA=1.0, POROSITY=[1, 0.25], TORTUOSITY=[1, 1.0], STORAGE=[1, 0.0], PERMEABILITY_TENSOR=['ISOTROPIC', 2e-12], DENSITY=[1, 2100], HEAT_DISPERSION=[1, 0.1, 0.1], ) model.msp.add_block( main_key='SOLID_PROPERTIES', DENSITY=[1, 999.7], THERMAL=[ ['EXPANSION', 0.0], ['CAPACITY'], [1, 4185], ['CONDUCTIVITY'], [1, 0.56], ], ) model.msp.add_block( main_key='SOLID_PROPERTIES', DENSITY=[1, 950], THERMAL=[ ['EXPANSION', 0.0], ['CAPACITY'], [1, 1700], ['CONDUCTIVITY'], [1, 0.42], ], ) model.msp.add_block( main_key='SOLID_PROPERTIES', DENSITY=[1, 2650], THERMAL=[ ['EXPANSION', 0.0], ['CAPACITY'], [1, 1466], ['CONDUCTIVITY'], [1, 2.08], ], ) model.msp.add_block( main_key='SOLID_PROPERTIES', DENSITY=[1, 2650], THERMAL=[ ['EXPANSION', 0.0], ['CAPACITY'], [1, 784], ['CONDUCTIVITY'], [1, 2.86], ], ) model.mfp.add_block( main_key='FLUID_PROPERTIES', FLUID_TYPE='LIQUID', DENSITY=[1, 1000.0], VISCOSITY=[1, 0.001], SPECIFIC_HEAT_CAPACITY=[1, 4185], HEAT_CONDUCTIVITY=[1, 0.56], ) model.num.add_block( main_key='NUMERICS', PCS_TYPE='LIQUID_FLOW', ELE_GAUSS_POINTS=3, LINEAR_SOLVER=[2, 6, 1e-10, 1000, 1.0, 1, 4], ) model.num.add_block( main_key='NUMERICS', PCS_TYPE='HEAT_TRANSPORT', ELE_GAUSS_POINTS=3, LINEAR_SOLVER=[2, 6, 1e-10, 2000, 1.0, 1, 4], ) model.tim.add_block( main_key='TIME_STEPPING', PCS_TYPE='LIQUID_FLOW', TIME_STEPS=[100, 10], TIME_END=3153600000, TIME_START=0.0, ) model.tim.add_block( main_key='TIME_STEPPING', PCS_TYPE='HEAT_TRANSPORT', TIME_STEPS=[100, 10], TIME_END=3153600000, TIME_START=0.0, ) model.out.add_block( main_key='OUTPUT', NOD_VALUES=[ ['PRESSURE1'], ['HEAD'], ['VELOCITY_X1'], ['VELOCITY_Y1'], ['VELOCITY_Z1'], ['TEMPERATURE1'], ], GEO_TYPE='DOMAIN', DAT_TYPE='TECPLOT', TIM_TYPE=['STEPS', 1], ) model.out.add_block( main_key='OUTPUT', NOD_VALUES=[ ['PRESSURE1'], ['HEAD'], ['VELOCITY_X1'], ['VELOCITY_Y1'], ['VELOCITY_Z1'], ['TEMPERATURE1'], ], GEO_TYPE=['POINT', 'P12'], DAT_TYPE='TECPLOT', TIM_TYPE=['STEPS', 1], ) model.out.add_block( main_key='OUTPUT', NOD_VALUES=[ ['PRESSURE1'], ['HEAD'], ['VELOCITY_X1'], ['VELOCITY_Y1'], ['VELOCITY_Z1'], ['TEMPERATURE1'], ], GEO_TYPE=['POINT', 'P13'], DAT_TYPE='TECPLOT', TIM_TYPE=['STEPS', 1], ) model.write_input() model.run_model()

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null

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null

0

7

9f64efbc80ff170a46bbf3baefc2f6ce3f1cbb4b

49

py

Python

coco_lm_pytorch/__init__.py

lucidrains/coco-lm-pytorch

516c1783b9f8ec6c27bab80d3aa8521d217a18cb

[ "MIT" ]

40

2021-03-02T18:06:46.000Z

2021-12-26T15:31:51.000Z

coco_lm_pytorch/__init__.py

lucidrains/coco-lm-pytorch

516c1783b9f8ec6c27bab80d3aa8521d217a18cb

[ "MIT" ]

2

2021-03-19T23:01:45.000Z

2021-12-17T00:44:20.000Z

coco_lm_pytorch/__init__.py

lucidrains/coco-lm-pytorch

516c1783b9f8ec6c27bab80d3aa8521d217a18cb

[ "MIT" ]

3

2021-03-19T23:32:56.000Z

2021-12-26T12:57:59.000Z

from coco_lm_pytorch.coco_lm_pytorch import COCO

24.5

48

0.897959

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0.555556

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1

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1

0

8

9810c55d4bc13e8b442c5475bb07a7da5f6ec7ed

7,077

py

Python

tests/test_formatter/snapshots/snap_test_formatter_output.py

toennifer/wemake-python-styleguide

12f942035aec4a34d38e24df89b150b88f35e021

[ "MIT" ]

1

2021-04-10T18:14:51.000Z

tests/test_formatter/snapshots/snap_test_formatter_output.py

amansr02/wemake-python-styleguide

681035ed21fbe28ebfb32b8807b98e8de76b64aa

[ "MIT" ]

1

2020-12-17T19:38:28.000Z

tests/test_formatter/snapshots/snap_test_formatter_output.py

amansr02/wemake-python-styleguide

681035ed21fbe28ebfb32b8807b98e8de76b64aa

[ "MIT" ]

null

# -*- coding: utf-8 -*- # snapshottest: v1 - https://goo.gl/zC4yUc from __future__ import unicode_literals from snapshottest import Snapshot snapshots = Snapshot() snapshots['test_formatter[cli_options0-regular] formatter_regular'] = ''' ./tests/fixtures/formatter/formatter1.py 1:1 WPS111 Found too short name: s < 2 1:7 WPS110 Found wrong variable name: handle 2:21 WPS432 Found magic number: 200 2:21 WPS303 Found underscored number: 2_00 ./tests/fixtures/formatter/formatter2.py 1:1 WPS110 Found wrong variable name: data 1:10 WPS110 Found wrong variable name: param 2:12 WPS437 Found protected attribute usage: _protected 2:31 WPS303 Found underscored number: 10_00 Full list of violations and explanations: https://wemake-python-stylegui.de/en/xx.xx/pages/usage/violations/ ''' snapshots['test_formatter[cli_options1-regular_statistic] formatter_regular_statistic'] = ''' ./tests/fixtures/formatter/formatter1.py 1:1 WPS111 Found too short name: s < 2 1:7 WPS110 Found wrong variable name: handle 2:21 WPS432 Found magic number: 200 2:21 WPS303 Found underscored number: 2_00 ./tests/fixtures/formatter/formatter2.py 1:1 WPS110 Found wrong variable name: data 1:10 WPS110 Found wrong variable name: param 2:12 WPS437 Found protected attribute usage: _protected 2:31 WPS303 Found underscored number: 10_00 WPS110: Found wrong variable name: handle 1 ./tests/fixtures/formatter/formatter1.py 2 ./tests/fixtures/formatter/formatter2.py Total: 3 WPS111: Found too short name: s < 2 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS303: Found underscored number: 2_00 1 ./tests/fixtures/formatter/formatter1.py 1 ./tests/fixtures/formatter/formatter2.py Total: 2 WPS432: Found magic number: 200 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS437: Found protected attribute usage: _protected 1 ./tests/fixtures/formatter/formatter2.py Total: 1 All errors: 8 Full list of violations and explanations: https://wemake-python-stylegui.de/en/xx.xx/pages/usage/violations/ ''' snapshots['test_formatter[cli_options2-with_source] formatter_with_source'] = ''' ./tests/fixtures/formatter/formatter1.py 1:1 WPS111 Found too short name: s < 2 def s(handle: int) -> int: ^ 1:7 WPS110 Found wrong variable name: handle def s(handle: int) -> int: ^ 2:21 WPS432 Found magic number: 200 return handle + 2_00 ^ 2:21 WPS303 Found underscored number: 2_00 return handle + 2_00 ^ ./tests/fixtures/formatter/formatter2.py 1:1 WPS110 Found wrong variable name: data def data(param) -> int: ^ 1:10 WPS110 Found wrong variable name: param def data(param) -> int: ^ 2:12 WPS437 Found protected attribute usage: _protected return param._protected + 10_00 ^ 2:31 WPS303 Found underscored number: 10_00 return param._protected + 10_00 ^ Full list of violations and explanations: https://wemake-python-stylegui.de/en/xx.xx/pages/usage/violations/ ''' snapshots['test_formatter[cli_options3-with_source_statistic] formatter_with_source_statistic'] = ''' ./tests/fixtures/formatter/formatter1.py 1:1 WPS111 Found too short name: s < 2 def s(handle: int) -> int: ^ 1:7 WPS110 Found wrong variable name: handle def s(handle: int) -> int: ^ 2:21 WPS432 Found magic number: 200 return handle + 2_00 ^ 2:21 WPS303 Found underscored number: 2_00 return handle + 2_00 ^ ./tests/fixtures/formatter/formatter2.py 1:1 WPS110 Found wrong variable name: data def data(param) -> int: ^ 1:10 WPS110 Found wrong variable name: param def data(param) -> int: ^ 2:12 WPS437 Found protected attribute usage: _protected return param._protected + 10_00 ^ 2:31 WPS303 Found underscored number: 10_00 return param._protected + 10_00 ^ WPS110: Found wrong variable name: handle 1 ./tests/fixtures/formatter/formatter1.py 2 ./tests/fixtures/formatter/formatter2.py Total: 3 WPS111: Found too short name: s < 2 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS303: Found underscored number: 2_00 1 ./tests/fixtures/formatter/formatter1.py 1 ./tests/fixtures/formatter/formatter2.py Total: 2 WPS432: Found magic number: 200 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS437: Found protected attribute usage: _protected 1 ./tests/fixtures/formatter/formatter2.py Total: 1 All errors: 8 Full list of violations and explanations: https://wemake-python-stylegui.de/en/xx.xx/pages/usage/violations/ ''' snapshots['test_formatter[cli_options4-statistic_with_source] formatter_statistic_with_source'] = ''' ./tests/fixtures/formatter/formatter1.py 1:1 WPS111 Found too short name: s < 2 def s(handle: int) -> int: ^ 1:7 WPS110 Found wrong variable name: handle def s(handle: int) -> int: ^ 2:21 WPS432 Found magic number: 200 return handle + 2_00 ^ 2:21 WPS303 Found underscored number: 2_00 return handle + 2_00 ^ ./tests/fixtures/formatter/formatter2.py 1:1 WPS110 Found wrong variable name: data def data(param) -> int: ^ 1:10 WPS110 Found wrong variable name: param def data(param) -> int: ^ 2:12 WPS437 Found protected attribute usage: _protected return param._protected + 10_00 ^ 2:31 WPS303 Found underscored number: 10_00 return param._protected + 10_00 ^ WPS110: Found wrong variable name: handle 1 ./tests/fixtures/formatter/formatter1.py 2 ./tests/fixtures/formatter/formatter2.py Total: 3 WPS111: Found too short name: s < 2 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS303: Found underscored number: 2_00 1 ./tests/fixtures/formatter/formatter1.py 1 ./tests/fixtures/formatter/formatter2.py Total: 2 WPS432: Found magic number: 200 1 ./tests/fixtures/formatter/formatter1.py Total: 1 WPS437: Found protected attribute usage: _protected 1 ./tests/fixtures/formatter/formatter2.py Total: 1 All errors: 8 Full list of violations and explanations: https://wemake-python-stylegui.de/en/xx.xx/pages/usage/violations/ ''' snapshots['test_formatter_correct[cli_options0-regular] formatter_correct_regular'] = '' snapshots['test_formatter_correct[cli_options1-regular_statistic] formatter_correct_regular_statistic'] = ''' All errors: 0 ''' snapshots['test_formatter_correct[cli_options2-with_source] formatter_correct_with_source'] = '' snapshots['test_formatter_correct[cli_options3-with_source_statistic] formatter_correct_with_source_statistic'] = ''' All errors: 0 ''' snapshots['test_formatter_correct[cli_options4-statistic_with_source] formatter_correct_statistic_with_source'] = ''' All errors: 0 '''

27.219231

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0

1

0

1

0

null

0

8

e226cce8400f7adaf8fa2bc9c6e39c70d0e45a17

6,215

py

Python

gemtown/utils/abi.py

doramong0926/gemtown

2c39284e3c68f0cc11994bed0ee2abaad0ea06b6

[ "MIT" ]

null

gemtown/utils/abi.py

doramong0926/gemtown

2c39284e3c68f0cc11994bed0ee2abaad0ea06b6

[ "MIT" ]

5

2020-09-04T20:13:39.000Z

2022-02-17T22:03:33.000Z

gemtown/utils/abi.py

doramong0926/gemtown

2c39284e3c68f0cc11994bed0ee2abaad0ea06b6

[ "MIT" ]

null

gemtown_abi=[{"constant":True,"inputs":[{"name":"interfaceId","type":"bytes4"}],"name":"supportsInterface","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"tokenMETADATA","outputs":[{"name":"","type":"string"},{"name":"","type":"string"},{"name":"","type":"string"},{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"name","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"getApproved","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"to","type":"address"},{"name":"tokenId","type":"uint256"}],"name":"approve","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"totalSupply","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"tokenHASH","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"tokenId","type":"uint256"}],"name":"transferFrom","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"owner","type":"address"},{"name":"index","type":"uint256"}],"name":"tokenOfOwnerByIndex","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"to","type":"address"},{"name":"tokenID","type":"uint256"},{"name":"tokenURIs","type":"string"},{"name":"tokenHASH","type":"string"},{"name":"tokePUBLISHER","type":"string"},{"name":"tokenDATA","type":"string"}],"name":"mint_token","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"tokenId","type":"uint256"}],"name":"safeTransferFrom","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"index","type":"uint256"}],"name":"tokenByIndex","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"ownerOf","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"owner","type":"address"}],"name":"balanceOf","outputs":[{"name":"","type":"uint256"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[],"name":"renounceOwnership","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"newOwner","type":"address"}],"name":"transferOwnershipOfContract","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[],"name":"owner","outputs":[{"name":"","type":"address"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"isOwner","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"tokenPUBLISHER","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"isOwnerOfContract","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[],"name":"symbol","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"tokenDATA","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"to","type":"address"},{"name":"approved","type":"bool"}],"name":"setApprovalForAll","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":False,"inputs":[{"name":"from","type":"address"},{"name":"to","type":"address"},{"name":"tokenId","type":"uint256"},{"name":"_data","type":"bytes"}],"name":"safeTransferFrom","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"constant":True,"inputs":[{"name":"tokenId","type":"uint256"}],"name":"tokenURI","outputs":[{"name":"","type":"string"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":True,"inputs":[{"name":"owner","type":"address"},{"name":"operator","type":"address"}],"name":"isApprovedForAll","outputs":[{"name":"","type":"bool"}],"payable":False,"stateMutability":"view","type":"function"},{"constant":False,"inputs":[{"name":"newOwner","type":"address"}],"name":"transferOwnership","outputs":[],"payable":False,"stateMutability":"nonpayable","type":"function"},{"inputs":[{"name":"name","type":"string"},{"name":"symbol","type":"string"}],"payable":False,"stateMutability":"nonpayable","type":"constructor"},{"anonymous":False,"inputs":[{"indexed":True,"name":"previousOwner","type":"address"},{"indexed":True,"name":"newOwner","type":"address"}],"name":"OwnershipTransferred","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"from","type":"address"},{"indexed":True,"name":"to","type":"address"},{"indexed":True,"name":"tokenId","type":"uint256"}],"name":"Transfer","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"owner","type":"address"},{"indexed":True,"name":"approved","type":"address"},{"indexed":True,"name":"tokenId","type":"uint256"}],"name":"Approval","type":"event"},{"anonymous":False,"inputs":[{"indexed":True,"name":"owner","type":"address"},{"indexed":True,"name":"operator","type":"address"},{"indexed":False,"name":"approved","type":"bool"}],"name":"ApprovalForAll","type":"event"}]

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0.18764

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1

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1

0

1

0

null

0

10

e22d0420d3b74170f387f6d2469278c30ddb1f1d

47

py

Python

openclassroom/__init__.py

openclassroomteam/openclassroom-xblock

f8859903ee9d9a54e4d5a387fa2885b929cc30ee

[ "Apache-2.0" ]

1

2020-08-18T14:22:21.000Z

openclassroom/__init__.py

openclassroomteam/openclassroom-xblock

f8859903ee9d9a54e4d5a387fa2885b929cc30ee

[ "Apache-2.0" ]

null

openclassroom/__init__.py

openclassroomteam/openclassroom-xblock

f8859903ee9d9a54e4d5a387fa2885b929cc30ee

[ "Apache-2.0" ]

null

from .openclassroom import OpenClassroomXBlock

23.5

46

0.893617

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47

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47

0.976744

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true

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null

0

1

0

null

0

1

0

1

0

1

0

7

e270ca79bcdefcf16b18a692c9807e26c87314ee

38

py

Python

hawc_hal/maptree/__init__.py

lundeenj/hawc_hal

21b7cfd28490e870d1ded39735827e63684556df

[ "BSD-3-Clause" ]

null

hawc_hal/maptree/__init__.py

lundeenj/hawc_hal

21b7cfd28490e870d1ded39735827e63684556df

[ "BSD-3-Clause" ]

null

hawc_hal/maptree/__init__.py

lundeenj/hawc_hal

21b7cfd28490e870d1ded39735827e63684556df

[ "BSD-3-Clause" ]

null

from map_tree import map_tree_factory

19

37

0.894737

7

38

4.428571

0.714286

0.451613

0

0.105263

38

1

38

0.911765

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

e2963caf81b0c0a921af8396954ee43e0ce76e6e

2,606

py

Python

python/tests/test_u16.py

jameswilddev/Fau

8d42541740bd838a499f4ca3625701665b1bbcd0

[ "MIT" ]

null

python/tests/test_u16.py

jameswilddev/Fau

8d42541740bd838a499f4ca3625701665b1bbcd0

[ "MIT" ]

1

2020-06-08T23:03:28.000Z

2021-01-21T13:16:53.000Z

python/tests/test_u16.py

jameswilddev/Fau

8d42541740bd838a499f4ca3625701665b1bbcd0

[ "MIT" ]

null

import unittest from fau import U16 class TestU16(unittest.TestCase): def test_length_negative_throws_error(self): with self.assertRaises(OverflowError): U16(-1) def test_length_zero_returns_correct_length(self): u16 = U16(0) self.assertEqual(0, len(u16)) def test_length_correct(self): u16 = U16(7) self.assertEqual(7, len(u16)) def test_initialized_as_zeroes(self): u16 = U16(7) self.assertEqual(0, u16[0]) self.assertEqual(0, u16[1]) self.assertEqual(0, u16[2]) self.assertEqual(0, u16[3]) self.assertEqual(0, u16[4]) self.assertEqual(0, u16[5]) self.assertEqual(0, u16[6]) def test_get_negative_index_throws_error(self): u16 = U16(7) with self.assertRaises(IndexError): u16[-1] def test_get_index_out_of_range_throws_error(self): u16 = U16(7) with self.assertRaises(IndexError): u16[7] def test_set_negative_index_throws_error(self): u16 = U16(7) with self.assertRaises(IndexError): u16[-1] = 42343 def test_set_index_out_of_range_throws_error(self): u16 = U16(7) with self.assertRaises(IndexError): u16[7] = 42343 def test_set_negative_throws_error(self): u16 = U16(7) with self.assertRaises(OverflowError): u16[3] = -1 def test_set_out_of_range_throws_error(self): u16 = U16(7) with self.assertRaises(OverflowError): u16[3] = 65536 def test_set_zero(self): u16 = U16(7) u16[3] = 42343 u16[3] = 0 self.assertEqual(0, u16[0]) self.assertEqual(0, u16[1]) self.assertEqual(0, u16[2]) self.assertEqual(0, u16[3]) self.assertEqual(0, u16[4]) self.assertEqual(0, u16[5]) self.assertEqual(0, u16[6]) def test_set_positive(self): u16 = U16(7) u16[3] = 42343 self.assertEqual(0, u16[0]) self.assertEqual(0, u16[1]) self.assertEqual(0, u16[2]) self.assertEqual(42343, u16[3]) self.assertEqual(0, u16[4]) self.assertEqual(0, u16[5]) self.assertEqual(0, u16[6]) def test_set_maximum_value(self): u16 = U16(7) u16[3] = 65535 self.assertEqual(0, u16[0]) self.assertEqual(0, u16[1]) self.assertEqual(0, u16[2]) self.assertEqual(65535, u16[3]) self.assertEqual(0, u16[4]) self.assertEqual(0, u16[5]) self.assertEqual(0, u16[6])

24.584906

55

0.585188

348

2,606

4.224138

0.135057

0.306122

0.293878

0.336054

0.776871

0.738095

0.702721

0.67551

0

0.138137

0.291635

2,606

105

56

24.819048

0.65818

0

0.605263

0

0.486842

1

0.171053

false

0

0.026316

0

0.210526

0

null

1

0

1

0

1

0

null

0

1

0

7

2c401bacd2c9b03291f060c0852cb509f20d6aa8

20,102

py

Python

swagger_client/api/transaction_api.py

chbndrhnns/ahoi-client

8bd25f541c05af17c82904fa250272514b7971f2

[ "MIT" ]

null

swagger_client/api/transaction_api.py

chbndrhnns/ahoi-client

8bd25f541c05af17c82904fa250272514b7971f2

[ "MIT" ]

null

swagger_client/api/transaction_api.py

chbndrhnns/ahoi-client

8bd25f541c05af17c82904fa250272514b7971f2

[ "MIT" ]

null

# coding: utf-8 """ [AHOI cookbook](/ahoi/docs/cookbook/index.html) [Data Privacy](/sandboxmanager/#/privacy) [Terms of Service](/sandboxmanager/#/terms) [Imprint](https://sparkassen-hub.com/impressum/) © 2016&dash;2017 Starfinanz - Ein Unternehmen der Finanz Informatik # noqa: E501 OpenAPI spec version: 2.1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class TransactionApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_transaction(self, access_id, account_id, transaction_id, **kwargs): # noqa: E501 """Get transaction # noqa: E501 Returns the transaction identified by **transactionId** in relationship with **accountId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_transaction(access_id, account_id, transaction_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for the transaction to retrieve (required) :param int account_id: The **accountId** for the transaction to retrieve (required) :param int transaction_id: The **transactionId** for the pattern to retrieve (required) :return: Transaction If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_transaction_with_http_info(access_id, account_id, transaction_id, **kwargs) # noqa: E501 else: (data) = self.get_transaction_with_http_info(access_id, account_id, transaction_id, **kwargs) # noqa: E501 return data def get_transaction_with_http_info(self, access_id, account_id, transaction_id, **kwargs): # noqa: E501 """Get transaction # noqa: E501 Returns the transaction identified by **transactionId** in relationship with **accountId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_transaction_with_http_info(access_id, account_id, transaction_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for the transaction to retrieve (required) :param int account_id: The **accountId** for the transaction to retrieve (required) :param int transaction_id: The **transactionId** for the pattern to retrieve (required) :return: Transaction If the method is called asynchronously, returns the request thread. """ all_params = ['access_id', 'account_id', 'transaction_id'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_transaction" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'access_id' is set if ('access_id' not in params or params['access_id'] is None): raise ValueError("Missing the required parameter `access_id` when calling `get_transaction`") # noqa: E501 # verify the required parameter 'account_id' is set if ('account_id' not in params or params['account_id'] is None): raise ValueError("Missing the required parameter `account_id` when calling `get_transaction`") # noqa: E501 # verify the required parameter 'transaction_id' is set if ('transaction_id' not in params or params['transaction_id'] is None): raise ValueError("Missing the required parameter `transaction_id` when calling `get_transaction`") # noqa: E501 collection_formats = {} path_params = {} if 'access_id' in params: path_params['accessId'] = params['access_id'] # noqa: E501 if 'account_id' in params: path_params['accountId'] = params['account_id'] # noqa: E501 if 'transaction_id' in params: path_params['transactionId'] = params['transaction_id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/accesses/{accessId}/accounts/{accountId}/transactions/{transactionId}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Transaction', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_transactions(self, access_id, account_id, **kwargs): # noqa: E501 """List transactions for account # noqa: E501 Retrieve all transactions for **accountId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_transactions(access_id, account_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for which to retrieve transactions. (required) :param int account_id: The **accountId** for which to retrieve transactions. (required) :param int max_age: Optional — indicates the maximum acceptable timeframe (in seconds) since the last refresh of the given account. :param int limit: Optional — limit the number of returned transactions :param int offset: Optional — skip the first **offset** transactions in result :param str _from: Optional — only return transactions with booking date later than **from**; an ISO8601 Month(2014-11), Date (2014-11-17) or DateTime (2014-11-17T12:00:00Z) :param str to: Optional — only return transactions with booking date prior or equal to **to**; an ISO8601 Date, Month or DateTime :return: list[Transaction] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.list_transactions_with_http_info(access_id, account_id, **kwargs) # noqa: E501 else: (data) = self.list_transactions_with_http_info(access_id, account_id, **kwargs) # noqa: E501 return data def list_transactions_with_http_info(self, access_id, account_id, **kwargs): # noqa: E501 """List transactions for account # noqa: E501 Retrieve all transactions for **accountId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_transactions_with_http_info(access_id, account_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for which to retrieve transactions. (required) :param int account_id: The **accountId** for which to retrieve transactions. (required) :param int max_age: Optional — indicates the maximum acceptable timeframe (in seconds) since the last refresh of the given account. :param int limit: Optional — limit the number of returned transactions :param int offset: Optional — skip the first **offset** transactions in result :param str _from: Optional — only return transactions with booking date later than **from**; an ISO8601 Month(2014-11), Date (2014-11-17) or DateTime (2014-11-17T12:00:00Z) :param str to: Optional — only return transactions with booking date prior or equal to **to**; an ISO8601 Date, Month or DateTime :return: list[Transaction] If the method is called asynchronously, returns the request thread. """ all_params = ['access_id', 'account_id', 'max_age', 'limit', 'offset', '_from', 'to'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_transactions" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'access_id' is set if ('access_id' not in params or params['access_id'] is None): raise ValueError("Missing the required parameter `access_id` when calling `list_transactions`") # noqa: E501 # verify the required parameter 'account_id' is set if ('account_id' not in params or params['account_id'] is None): raise ValueError("Missing the required parameter `account_id` when calling `list_transactions`") # noqa: E501 collection_formats = {} path_params = {} if 'access_id' in params: path_params['accessId'] = params['access_id'] # noqa: E501 if 'account_id' in params: path_params['accountId'] = params['account_id'] # noqa: E501 query_params = [] if 'max_age' in params: query_params.append(('max-age', params['max_age'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if '_from' in params: query_params.append(('from', params['_from'])) # noqa: E501 if 'to' in params: query_params.append(('to', params['to'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/accesses/{accessId}/accounts/{accountId}/transactions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Transaction]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def list_transactions_for_pattern(self, access_id, account_id, pattern_id, **kwargs): # noqa: E501 """List transactions for pattern # noqa: E501 Retrieve all transactions for **patternId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_transactions_for_pattern(access_id, account_id, pattern_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for which to retrieve transactions (required) :param int account_id: The **accountId** for which to retrieve transactions (required) :param int pattern_id: The **patternId** for which to retrieve transactions (required) :param int max_age: Optional — indicates the maximum acceptable timeframe (in seconds) since the last refresh of the given account :param int limit: Optional — limit the number of returned transactions :param int offset: Optional — skip the first **offset** transactions in result :param str _from: Optional — only return transactions with a booking date later than **from**; an ISO8601 Month(2014-11), Date (2014-11-17) or DateTime (2014-11-17T12:00:00Z) :param str to: Optional — only return transactions with a booking date prior or equal to **to**; an ISO8601 Date, Month or DateTime :return: list[Transaction] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.list_transactions_for_pattern_with_http_info(access_id, account_id, pattern_id, **kwargs) # noqa: E501 else: (data) = self.list_transactions_for_pattern_with_http_info(access_id, account_id, pattern_id, **kwargs) # noqa: E501 return data def list_transactions_for_pattern_with_http_info(self, access_id, account_id, pattern_id, **kwargs): # noqa: E501 """List transactions for pattern # noqa: E501 Retrieve all transactions for **patternId**. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.list_transactions_for_pattern_with_http_info(access_id, account_id, pattern_id, async=True) >>> result = thread.get() :param async bool :param int access_id: The **accessId** for which to retrieve transactions (required) :param int account_id: The **accountId** for which to retrieve transactions (required) :param int pattern_id: The **patternId** for which to retrieve transactions (required) :param int max_age: Optional — indicates the maximum acceptable timeframe (in seconds) since the last refresh of the given account :param int limit: Optional — limit the number of returned transactions :param int offset: Optional — skip the first **offset** transactions in result :param str _from: Optional — only return transactions with a booking date later than **from**; an ISO8601 Month(2014-11), Date (2014-11-17) or DateTime (2014-11-17T12:00:00Z) :param str to: Optional — only return transactions with a booking date prior or equal to **to**; an ISO8601 Date, Month or DateTime :return: list[Transaction] If the method is called asynchronously, returns the request thread. """ all_params = ['access_id', 'account_id', 'pattern_id', 'max_age', 'limit', 'offset', '_from', 'to'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method list_transactions_for_pattern" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'access_id' is set if ('access_id' not in params or params['access_id'] is None): raise ValueError("Missing the required parameter `access_id` when calling `list_transactions_for_pattern`") # noqa: E501 # verify the required parameter 'account_id' is set if ('account_id' not in params or params['account_id'] is None): raise ValueError("Missing the required parameter `account_id` when calling `list_transactions_for_pattern`") # noqa: E501 # verify the required parameter 'pattern_id' is set if ('pattern_id' not in params or params['pattern_id'] is None): raise ValueError("Missing the required parameter `pattern_id` when calling `list_transactions_for_pattern`") # noqa: E501 collection_formats = {} path_params = {} if 'access_id' in params: path_params['accessId'] = params['access_id'] # noqa: E501 if 'account_id' in params: path_params['accountId'] = params['account_id'] # noqa: E501 if 'pattern_id' in params: path_params['patternId'] = params['pattern_id'] # noqa: E501 query_params = [] if 'max_age' in params: query_params.append(('max-age', params['max_age'])) # noqa: E501 if 'limit' in params: query_params.append(('limit', params['limit'])) # noqa: E501 if 'offset' in params: query_params.append(('offset', params['offset'])) # noqa: E501 if '_from' in params: query_params.append(('from', params['_from'])) # noqa: E501 if 'to' in params: query_params.append(('to', params['to'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 return self.api_client.call_api( '/accesses/{accessId}/accounts/{accountId}/transactionpatterns/{patternId}/transactions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Transaction]', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

48.791262

277

0.6373

2,429

20,102

5.093042

0.088514

0.04462

0.025463

0.028858

0.936949

0.926845

0.921833

0.911002

0.908092

0.889904

0

0.025154

0.266292

20,102

411

278

48.909976

0.812258

0.064571

0

0.768519

0

0.226565

0.049436

0

null

0

0.018519

null

0

null

0

1

0

1

0

null

0

1

0

8

2ca67f1bc3f698c3c18a4d055a63b7f18ee08e4e

8,640

py

Python

cauldron/test/ui/test_ui_start.py

JohnnyPeng18/cauldron

09120c2a4cef65df46f8c0c94f5d79395b3298cd

[ "MIT" ]

90

2016-09-02T15:11:10.000Z

2022-01-02T11:37:57.000Z

cauldron/test/ui/test_ui_start.py

JohnnyPeng18/cauldron

09120c2a4cef65df46f8c0c94f5d79395b3298cd

[ "MIT" ]

86

2016-09-23T16:52:22.000Z

2022-03-31T21:39:56.000Z

cauldron/test/ui/test_ui_start.py

JohnnyPeng18/cauldron

09120c2a4cef65df46f8c0c94f5d79395b3298cd

[ "MIT" ]

261

2016-12-22T05:36:48.000Z

2021-11-26T12:40:42.000Z

from unittest.mock import MagicMock from unittest.mock import patch from cauldron import environ from cauldron import ui @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') @patch('waitress.serve') def test_start_defaults( waitress_serve: MagicMock, flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should start the ui with default configuration.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response().fail().response launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start() expected = {'port': 1234, 'host': 'localhost'} assert expected == waitress_serve.call_args[1], """ Expect app run configuration to be {} """.format(expected) expected = {'port': 1234, 'host': None} assert all( item in ui_configs.UI_APP_DATA.items() for item in expected.items() ), """ Expect configs.UI_APP_DATA to have {} """.format(expected) assert 0 == environ_systems.end.call_count, """ Expected no call to end the application execution process. """ assert ui_configs.LAUNCH_THREAD is not None, 'Expect a launch thread.' @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') def test_start_customized_basic( flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should start the ui with customized configuration.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response().fail().response launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start(port=4321, debug=True, public=True, basic=True) expected = {'port': 4321, 'debug': True, 'host': '0.0.0.0'} assert {'threaded': True, **expected} == app.run.call_args[1], """ Expect app run configuration to be {} """.format(expected) assert all( item in ui_configs.UI_APP_DATA.items() for item in expected.items() ), """ Expect configs.UI_APP_DATA to have {} """.format(expected) assert 0 == environ_systems.end.call_count, """ Expected no call to end the application execution process. """ assert ui_configs.LAUNCH_THREAD is None, """ Expect no launch thread when run in debug mode because auto-reloading causes problems. """ @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') @patch('waitress.serve') def test_start_customized( waitress_serve: MagicMock, flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should start the ui with customized configuration.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response().fail().response launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start(port=4321, public=True, debug=True) expected = {'port': 4321, 'host': '0.0.0.0'} assert expected == waitress_serve.call_args[1], """ Expect app run configuration to be {} """.format(expected) assert all( item in ui_configs.UI_APP_DATA.items() for item in expected.items() ), """ Expect configs.UI_APP_DATA to have {} """.format(expected) assert 0 == environ_systems.end.call_count, """ Expected no call to end the application execution process. """ assert ui_configs.LAUNCH_THREAD is None, """ Expect no launch thread when run in debug mode because auto-reloading causes problems. """ @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') def test_start_remote_connection_basic( flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should start the ui with a remote connection.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response() launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start( port=4321, debug=True, host='bar', connection_url='foo:8080', basic=True, ) expected = {'port': 4321, 'debug': True, 'host': 'bar'} assert {'threaded': True, **expected} == app.run.call_args[1], """ Expect app run configuration to be {} """.format(expected) assert all( item in ui_configs.UI_APP_DATA.items() for item in expected.items() ), """ Expect configs.UI_APP_DATA to have {} """.format(expected) assert 0 == environ_systems.end.call_count, """ Expected no call to end the application execution process. """ assert ui_configs.LAUNCH_THREAD is None, """ Expect no launch thread when run in debug mode because auto-reloading causes problems. """ assert remote_connection.url == 'foo' assert remote_connection.active @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') def test_start_remote_connection_failed_basic( flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should start the ui with a remote connection.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response().fail().response launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start( port=4321, debug=True, host='bar', connection_url='foo:8080', basic=True, ) assert 0 == app.run.call_count, 'Expect no application to start.' assert (1,) == environ_systems.end.call_args[0], """ Expected exit to be called one with a 1 returncode due to the error in establishing a remote connection. """ @patch('cauldron.ui.launcher') @patch('cauldron.ui.connect') @patch('cauldron.ui.environ.remote_connection') @patch('cauldron.ui.environ.systems') @patch('cauldron.ui.configs') @patch('flask.Flask') @patch('waitress.serve') def test_start_version( waitress_serve: MagicMock, flask_constructor: MagicMock, ui_configs: MagicMock, environ_systems: MagicMock, remote_connection: MagicMock, connect: MagicMock, launcher: MagicMock, ): """Should show version information and then exit without error.""" ui_configs.UI_APP_DATA = {} ui_configs.LAUNCH_THREAD = None connect._clean_url.return_value = 'foo' connect.check_connection.return_value = environ.Response().fail().response launcher.find_open_port.return_value = 1234 app = MagicMock() flask_constructor.return_value = app ui.start(version=True) assert (0,) == environ_systems.end.call_args[0], """ Expected exit to be called one with a zero returncode. """

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0.893029

0

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0.210069

8,640

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33.103448

0.808645

0.034954

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null

0

1

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1

0

null

0

7

2cb259c738dc0c23660b946d5a1786366c511ff9

11,417

py

Python

preprocessing/processor.py

GPrathap/OpenBCIPython

0f5be167fb09d31c15885003eeafec8cdc08dbfa

[ "MIT" ]

1

2021-11-07T12:01:08.000Z

preprocessing/processor.py

GPrathap/OpenBCIPython

0f5be167fb09d31c15885003eeafec8cdc08dbfa

[ "MIT" ]

null

preprocessing/processor.py

GPrathap/OpenBCIPython

0f5be167fb09d31c15885003eeafec8cdc08dbfa

[ "MIT" ]

1

2020-10-15T08:35:01.000Z

import json import os import seaborn as sb from features.fft import FFT from features.generic_type import EMG from features.mean import Mean from features.mfcc import MFCC from features.zcr import ZCR from manager import FeatureManager import pandas as pd from pandas import DataFrame, Series import matplotlib import matplotlib.pyplot as plt import numpy as np from utils.Audio import Audio # # sb.set(style="white", palette="muted") # # import random # random.seed(20150420) # from scipy.signal import butter, filtfilt # import numpy as np # import matplotlib.pyplot as plt # # import pandas as pd # from pandas import DataFrame, Series # from scipy.signal import butter, filtfilt # from pandas import DataFrame, Series # from scipy import signal # # class Clip: # # def __init__(self, config, buffer=None, filename=None, file_type=None): # self.is_raw_data = eval(config["is_raw_data"]) # self.frame_size = int(config["window_size"]) # self.sampling_rate = int(config["sampling_rate"]) # # self.project_path = str(config["project_file_path"]) # self.project_path = "/home/runge/openbci/git/OpenBCI_Python" # feature_config_file = self.project_path + "/features/config/feature_config.json" # if self.is_raw_data: # self.filename = os.path.basename(filename) # self.path = os.path.abspath(filename) # self.directory = os.path.dirname(self.path) # self.category = self.directory.split('/')[-1] # self.audio = Audio(self.path, file_type) # # else: # self.audio = Audio(is_raw_data=self.is_raw_data, data=buffer) # # with open(feature_config_file) as feature_config: # self.feature_config = json.load(feature_config) # self.feature_config["sampling_rate"] = self.sampling_rate # self.feature_config["frame_size"] = self.frame_size # self.feature_config["is_raw_data"] = self.is_raw_data # # # with self.audio as audio: # self.featureManager = FeatureManager() # # self.featureManager.addRegisteredFeatures(FFT(self.audio, self.feature_config), "fft") # self.featureManager.addRegisteredFeatures(EMG(self.audio, self.feature_config), "emg") # # self.featureManager.getRegisteredFeature("fft").compute_fft() # # self.featureManager.getRegisteredFeature("emg").compute_hurst() # self.featureManager.getRegisteredFeature("emg").compute_embed_seq() # self.featureManager.getRegisteredFeature("emg").compute_bin_power() # # self.featureManager.getRegisteredFeature("emg").compute_pfd() # # self.featureManager.getRegisteredFeature("emg").compute_hfd() # # self.featureManager.getRegisteredFeature("emg").compute_hjorth() # # self.featureManager.getRegisteredFeature("emg").compute_spectral_entropy() # # self.featureManager.getRegisteredFeature("emg").compute_svd_entropy() # # self.featureManager.getRegisteredFeature("emg").compute_ap_entropy() # # self.featureManager.getRegisteredFeature("emg").compute_samp_entropy() # # # self.feature_list = self.featureManager.getRegisteredFeatures() # # def __repr__(self): # return '<{0}/{1}>'.format(self.category, self.filename) # # def get_feature_vector(self): # # self.featureManager.getRegisteredFeature("emg").get_hurst() # return self.featureManager.getRegisteredFeature("fft").get_logamplitude() # # fsamp = 256 # tsample = 1 / fsamp # f_low = 50 # f_high = 1 # order = 2 # channel_vector = [1,2, 3, 4, 5] # n_ch = len(channel_vector) # df = pd.read_csv("/home/runge/openbci/application.linux64/application.linux64/OpenBCI-RAW-right_strait_up_new.txt") # df = df[channel_vector].dropna(axis=0) # # processed_signal = df.copy() # # b, a = butter(order, (order * f_low * 1.0) / fsamp * 1.0, btype='low') # for i in range(0, n_ch): # processed_signal.ix[:, i] = np.transpose(filtfilt(b, a, df.ix[:, i])) # # b1, a1 = butter(order, (order * f_high * 1.0) / fsamp * 1.0, btype='high') # for i in range(0, n_ch): # processed_signal.ix[:, i] = np.transpose(filtfilt(b1, a1, processed_signal.ix[:, i])) # # Wn = (np.array([58.0, 62.0]) / 500 * order).tolist() # b3, a3 = butter(order, Wn, btype='stop') # for i in range(0, n_ch): # processed_signal.ix[:, i] = np.transpose(filtfilt(b3, a3, processed_signal.ix[:, i])) # # project_file_path = "/home/runge/openbci/git/OpenBCI_Python" # config_file = project_file_path + "/config/config.json" # with open(config_file) as config: # config = json.load(config) # # start = 0 # end = 400 # plt.figure(figsize=(12, 8)) # for h in range(0, n_ch): # plt.subplot(n_ch,1,h+1) # clip = Clip(config, buffer=np.array(processed_signal.ix[:, h][start * fsamp:end * fsamp].tolist())) # # f, Pxx_spec = signal.periodogram(processed_signal.ix[:, h][start * fsamp:end * fsamp], fsamp, 'flattop', # # scaling='spectrum') # # # f, Pxx_spec = signal.welch(processed_signal.ix[:, h][start * fsamp:end * fsamp], fsamp, 'flattop', 128, scaling='spectrum') # # wavelet = signal.ricker # # widths = np.arange(1, 11) # # cwtmatr = signal.cwt(processed_signal.ix[:, h][start * fsamp:end * fsamp], wavelet, widths) # plt.plot(clip.feature_list.get("emg").get_bin_power()) # # plt.semilogy(fsamp, np.sqrt(Pxx_spec)) # # plt.ylim([1e-4, 1e1]) # plt.show() # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # # import json import os from features.fft import FFT from features.generic_type import EMG from manager import FeatureManager sb.set(style="white", palette="muted") import random random.seed(20150420) class Clip: def __init__(self, config, buffer=None, filename=None, file_type=None): self.is_raw_data = eval(config["is_raw_data"]) self.frame_size = int(config["window_size"]) self.sampling_rate = int(config["sampling_rate"]) # self.project_path = str(config["project_file_path"]) self.project_path = "/home/runge/openbci/git/OpenBCI_Python" feature_config_file = self.project_path + "/features/config/feature_config.json" if self.is_raw_data: self.filename = os.path.basename(filename) self.path = os.path.abspath(filename) self.directory = os.path.dirname(self.path) self.category = self.directory.split('/')[-1] self.audio = Audio(self.path, file_type) else: self.audio = Audio(is_raw_data=self.is_raw_data, data=buffer) with open(feature_config_file) as feature_config: self.feature_config = json.load(feature_config) self.feature_config["sampling_rate"] = self.sampling_rate self.feature_config["frame_size"] = self.frame_size self.feature_config["is_raw_data"] = self.is_raw_data with self.audio as audio: self.featureManager = FeatureManager() # self.featureManager.addRegisteredFeatures(FFT(self.audio, self.feature_config), "fft") self.featureManager.addRegisteredFeatures(EMG(self.audio, self.feature_config), "emg") # self.featureManager.getRegisteredFeature("fft").compute_fft() # self.featureManager.getRegisteredFeature("emg").compute_hurst() self.featureManager.getRegisteredFeature("emg").compute_embed_seq() # self.featureManager.getRegisteredFeature("emg").compute_bin_power() # self.featureManager.getRegisteredFeature("emg").compute_pfd() # self.featureManager.getRegisteredFeature("emg").compute_hfd() # self.featureManager.getRegisteredFeature("emg").compute_hjorth() # self.featureManager.getRegisteredFeature("emg").compute_spectral_entropy() # self.featureManager.getRegisteredFeature("emg").compute_svd_entropy() # self.featureManager.getRegisteredFeature("emg").compute_ap_entropy() self.featureManager.getRegisteredFeature("emg").compute_svd_entropy() self.feature_list = self.featureManager.getRegisteredFeatures() def __repr__(self): return '<{0}/{1}>'.format(self.category, self.filename) def get_feature_vector(self): return self.featureManager.getRegisteredFeature("emg").get_svd_entropy() # return self.featureManager.getRegisteredFeature("fft").get_logamplitude() # return self.featureManager.getRegisteredFeature("fft").get_fft_spectrogram() # fsamp = 1 # # channel_vector = [1,2, 3, 4, 5] # n_ch = len(channel_vector) # # # df1 = pd.read_csv("/home/runge/openbci/git/OpenBCI_Python/build/dataset/2noise_signal.csv") # # df1 = df1.dropna(axis=0) # # # # df2 = pd.read_csv("/home/runge/openbci/git/OpenBCI_Python/build/dataset/2noise_reduced_signal.csv") # # df2 = df2.dropna(axis=0) # # # # df3 = pd.read_csv("/home/runge/openbci/git/OpenBCI_Python/build/dataset/2reconstructed_signal.csv") # # df3 = df3.dropna(axis=0) # # # # df4 = pd.read_csv("/home/runge/openbci/git/OpenBCI_Python/build/dataset/2feature_vector.csv") # # df4 = df4.dropna(axis=0) # # # # df = [] # # df.append(df1) # # df.append(df2) # # df.append(df3) # # df.append(df4) # # # # processed_signal = df.copy() # # # # project_file_path = "/home/runge/openbci/git/OpenBCI_Python" # config_file = project_file_path + "/config/config.json" # raw_reconstructed_signals = pd.read_csv(project_file_path+"/build/dataset2017-5-5_23-55-32new_bycept.csv").ix[:, 2:7].dropna() # with open(config_file) as config: # # config = json.load(config) # start = 100 # end = 200 # # if end == 0: # end = raw_reconstructed_signals.shape[0] # x = np.arange(start,end, 1) # fig = plt.figure(figsize=(10, 15)) # fig.subplots_adjust(hspace=.5) # index = 1 # for h in range(0, 5): # processed_signal = [] # ax = plt.subplot(10,2,index) # input_signal = raw_reconstructed_signals.ix[:,h][start:end] # ax.plot(x, input_signal) # position=0 # for i in range(0, int((end-start)-int(config['window_size'])-1)): # clip = Clip(config, buffer=np.array(input_signal[position:position+int(config['window_size'])].tolist())) # processed_signal.append(clip.get_feature_vector()) # position+=1 # # index += 1 # ax = plt.subplot(10, 2, index) # index += 1 # ax.plot(processed_signal) # # # f, Pxx_spec = signal.periodogram(processed_signal.ix[:, h][start * fsamp:end * fsamp], fsamp, 'flattop', # # scaling='spectrum') # # # f, Pxx_spec = signal.welch(processed_signal.ix[:, h][start * fsamp:end * fsamp], fsamp, 'flattop', 128, scaling='spectrum') # # wavelet = signal.ricker # # widths = np.arange(1, 11) # # cwtmatr = signal.cwt(processed_signal.ix[:, h][start * fsamp:end * fsamp], wavelet, widths) # # plt.plot(raw_reconstructed_signals[h].ix[:,0][start * fsamp:end * fsamp]) # # plt.semilogy(fsamp, np.sqrt(Pxx_spec)) # # plt.ylim([1e-4, 1e1]) # plt.show()

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0.782633

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0.713362

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0

0.019077

0.2103

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1

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1

0

8

e2d897be6ebcc687de1f3b0f5a1da77fb87a4148

33,223

py

Python

alsmicroct/data_management.py

hbar/alsTomographyTools

ec1edd1477367a57ee94e806134aee92e57db977

[ "MIT" ]

null

alsmicroct/data_management.py

hbar/alsTomographyTools

ec1edd1477367a57ee94e806134aee92e57db977

[ "MIT" ]

null

alsmicroct/data_management.py

hbar/alsTomographyTools

ec1edd1477367a57ee94e806134aee92e57db977

[ "MIT" ]

null

import os import sys import time import logging logging.basicConfig(level=logging.INFO, stream=sys.stdout,format='%(message)s') import numpy as np # fundamental numeric operations package import tomopy # tomographic reconstrcution package import dxchange import h5py import glob import getpass # allows commandline password input import requests # tools for web requests/communication with online APIs # Create spot session class # This class includes all functions for authenticating and communcating with SPOT API class SpotSession(): # ============================================================================= # Login # tested, works properly def __init__ (self,username='default'): """ Prompts user for username and password """ self.URL_authentication = "https://portal-auth.nersc.gov/als/auth" self.username = username self.spot_username = raw_input("username:") spot_password = getpass.getpass() if username == 'default': # if no additional usermane is given, spot username is stored to be used in file paths self.spot_username=spot_username s = requests.Session() r = s.post(self.URL_authentication,{"username":self.spot_username,"password":spot_password}) self.session = s """ POST URL: https://portal-auth.nersc.gov/als/auth EXAMPLE: % curl -k -c cookies.txt -X POST -d "username=[your_username]&password=[your_password]" https://portal-auth.nersc.gov/als/auth """ # ============================================================================= # Check Authentication # tested, works properly def check_authentication(self): r = self.session.get(self.URL_authentication) #return r.json() return r.json()['auth'] def authentication(self): r = s.get(self.URL_authentication) if r.json()['auth'] == False: print "Authentication required to start a new session" spot_username = raw_input("username:") spot_password = getpass.getpass() s = requests.Session() r = s.post(self.URL_authentication,{"username":spot_username,"password":spot_password}) self.session = s r = s.get(self.URL_authentication) return r.json() # ============================================================================= # Close session # *** DOES NOT WORK *** def close(self): self.session.close() r = self.session.get(self.URL_authentication) return r.json() # ============================================================================= # Search Datasets # tested, works properly, returns list of json oblejcts def search(self, query, limitnum = 10, # number of results to show skipnum = 0, # number of results to skip sortterm = "fs.stage_date", # database field on which to sort (commonly fs.stage_date or appmetadata.sdate) sorttype = "desc"): # sorttype: desc or asc self.URL_search = "https://portal-auth.nersc.gov/als/hdf/search" self.PARAMS_search = {"limitnum": limitnum, "skipnum":skipnum, "sortterm": sortterm, "sorttype": sorttype, "search": search} r = self.session.get(url=self.URL_search,params=self.PARAMS_search) return r.json() # returns list of JSON objects containing search results """ GET URL: https://portal-auth.nersc.gov/als/hdf/search Arguments: limitnum: number of results to show skipnum: number of results to skip sortterm: database field on which to sort (commonly fs.stage_date or appmetadata.sdate) sorttype: desc or asc search: query Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/search?skipnum=0&limitnum=10&sortterm=fs.stage_date&sorttype=desc&search=end_station=bl832" """ # ============================================================================= # Find Derived Datasets (norm, sino, gridrec, imgrec) from raw dataset # Tested, works, returns list of json objects def derived_datasets(self,dataset): self.URL_DerivedDatasets = "https://portal-auth.nersc.gov/als/hdf/dataset" self.PARAMS_DerivedDatasets = {"dataset":dataset} r = self.session.get(self.URL_DerivedDatasets,params=self.PARAMS_DerivedDatasets) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/dataset Arguments: dataset: raw dataset Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/dataset?dataset=20130713_185717_Chilarchaea_quellon_F_9053427_IKI_" """ # ============================================================================= # Takes dataset name and formats for use in API calls # tested, used in class methods that require [dataset] entry in URL def formatPath(self,dataset,username='default'): dataset = dataset.strip(".h5") if (username=='default' or username==None): username = self.spot_username filename = dataset elif "/" in dataset: # determine if dataset contains username and splits # 'username/filename' becomes two separate strings: username and filename datasplit = dataset.split("/") username = datasplit[-2] filename = datasplit[-1] else: filename=dataset return filename,username # ============================================================================= # View Attributes for Single Dataset and Image Within Dataset def attributes(self,dataset,username=None): self.URL_attributes = "https://portal-auth.nersc.gov/als/hdf/attributes/als/bl832/" dataset,username = self.formatPath(dataset,username=username) URLstring = self.URL_attributes+username+"/"+dataset+"/raw/"+dataset+".h5" r = self.session.get(url=URLstring,params={"group":"/"}) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/attributes/[dataset] Arguments: group: path in hdf5 file. Set to "/" for overall attributes Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/attributes/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5?group=/" """ # ============================================================================= # List Images Within Dataset # *** NOT TESTED *** def list_images(self,dataset): dataset =dataset.strip(".h5") self.URL_listImages = "https://portal-auth.nersc.gov/als/hdf/listimages/als/bl832/" URL r = self.session.get(self.URL_listImages+dataset) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/listimages/[dataset] Arguments: None Result: JSON List (paths to images within the HDF5 file) EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/listimages/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5" """ # ============================================================================= # Stage Dataset From Tape to Disk if Required # Tested, works properly # ... Not sure how to figure figure out when staging is complete. def stage(self,dataset,username='default'): fileName,username = self.formatPath(dataset,username) self.URL_stage = "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/" URL_string = self.URL_stage+username+"/"+fileName+"/raw/"+fileName+".h5" r = self.session.get(url=URL_string) return r """ GET URL: https://portal-auth.nersc.gov/als/hdf/stageifneeded/[dataset] Arguments: None Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5" """ # ============================================================================= # Download Dataset # tested, downloads large file, haven't opened file to see if it worked def download(self,dataset,username='default',downloadPath='default',downloadName='default'): filename,username = self.formatPath(dataset,username=username)# process input path downloadName = downloadName.strip('.h5') # remove .h5 from output file name self.URL_download = "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/" if downloadPath=='default': downloadPath = "./" if downloadName=='default': downloadName = filename if downloadPath[-1] != "/": # add "/" to output path if it is not included downloadPath = downloadPath+"/" URL_string = self.URL_download+username+"/"+filename+"/raw/"+filename+".h5" # print(URL_string) r = self.session.get(URL_string) fileLocation = downloadPath+downloadName+".h5" with open(fileLocation, "wb") as location: location.write(r.content) print 'download complete: ' + fileLocation return fileLocation """ GET URL: https://portal-auth.nersc.gov/als/hdf/download/[dataset] Arguments: None Result: H5 File EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h" > file.h5 """ # ============================================================================= # Download Rawdata For Individual Image # *** NOT TESTED *** def download_image(self,dataset,username=None,number=0): if (type(number)==int or type(number)==float): numstring = "_"+str(int(number)).zfill(4) filename,username = self.deconstruct_DatasetPath(dataset,username=username) self.URL_download = "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/" URL_string = URL_download+username+"/"+filename+"-"+filename+".h5" #NOT SURE WHAT TO DO HERE r = self.session.get(URL_string) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/rawdata/[dataset] Arguments: group: path in HDF5 file to image Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/rawdata/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/norm/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_-norm-20130714_192637.h5?group=/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/20130713_185717_Chilarchaea_quellon_F_9053427_IKI__0000_0640.tif" """ # ============================================================================= # Get Download URLs for .tif and .png files for individual image # *** Not written *** # *** NOT TESTED *** """ GET URL: https://portal-auth.nersc.gov/als/hdf/image/[dataset] Arguments: group: path in HDF5 file to image Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/image/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/norm/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_-norm-20130714_192637.h5?group=/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/20130713_185717_Chilarchaea_quellon_F_9053427_IKI__0000_0640.tif" """ # ============================================================================= # Run TomoPy on an existing dataset # *** Not written *** # *** NOT TESTED *** """ GET URL: https://portal-auth.nersc.gov/als/hdf/tomopyjob Arguments: dataset: raw dataset Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/tomopyjob?dataset=20130713_185717_Chilarchaea_quellon_F_9053427_IKI_" """ # ============================================================================= # """ Functions for NERSC """ # ============================================================================= def list_from_txt(TextFilePath='../filepath/UnformatedFileList_Test.txt',comment='#'): """ Converts unformatted .txt file with \n separated file names into python list """ if '.py' in TextFilePath: # if file path is actually a python script, run script instead execfile(TextFilePath) else: textFile = open(TextFilePath,'r') # open text file data = textFile.readlines() #read lines of text into list of strings fileList = [] for i in range(len(data)): data[i] = data[i].strip(" ") # remove spaces data[i]=data[i].strip("\n") # remove returns if data[i][0] != comment: fileList.append(data[i]) # keep lines that are not commented return(fileList) # ============================================================================= def list_h5_files(searchDir): """ Finds all .h5 files in the search directory """ if searchDir[-1] != '/': searchDir = searchDir+"/" h5_list = glob.glob(searchDir+"*.h5") return(h5_list) # ============================================================================= NERSC_DefaultPath="/global/project/projectdirs/als/spade/warehouse/als/bl832/" userDefault = "hsbarnard" def NERSC_ArchivePath(filename,useraccount=userDefault,archivepath=NERSC_DefaultPath): ''' Generates path to raw tomography projection data in NERSC Archives Input list of file names, returns list of NERSC paths ''' # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] # Generate list of NERSC Paths from fileList pathOut=[] for i in range(len(filename)): #pathOut.append( archivepath +useraccount+ "/" + filename[i] + "/raw/" + filename[i]+".h5" ) pathOut.append( archivepath +useraccount+ "/" + filename[i] + "/raw/") print pathOut return pathOut # ============================================================================= def NERSC_StageData(filename,username='default'): ''' curl command sent to spot.nersc to stage data if stored on tape requires credentials. Run the following command > curl -k -c cookies.txt -X POST -d "username=[your_username]&password=[your_password]" https://portal-auth.nersc.gov/als/auth for more info: http://spot.nersc.gov/api.php ''' #Prompts user for username and password URL_authentication = "https://portal-auth.nersc.gov/als/auth" spot_username = raw_input("username:") spot_password = getpass.getpass() if username == 'default': # if no additional usermane is given, spot username is stored to be used in file paths username=spot_username s = requests.Session() r = s.post(URL_authentication,{"username":spot_username,"password":spot_password}) # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] baseURL = "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/" r_list=[] for i in range(len(filename)): r = s.get(baseURL + useraccount +"/"+ filename[i]+"/raw/"+filename[i]+".h5") print(command_string) r_list.append(r.json()) return r_list # return json # ============================================================================= def NERSC_RetreiveData(filename, username, destinationpath, archivepath=NERSC_DefaultPath): ''' Downloads raw tomography projection data in NERSC from NERSC Archives for a list of file names ''' # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] # Generate file paths and destination paths filePathIn = [] filePathOut = [] for i in range(len(filename)): print(archivepath,useraccount,filename[i]) filePathIn.append( archivepath +useraccount+ "/" + filename[i] + "/raw/" + filename[i]+".h5" ) filePathOut.append( destinationpath + filename[i] + ".h5") logging.info("file path list complete"); print filePathIn logging.info("destination path list complete"); print filePathOut # Copy Files to desintation for i in range(len(filename)): logging.info("begin transfer: "+filePathIn[i]) os.system("cp " + filePathIn[i] + " " + filePathOut[i]) logging.info("transfer complete: ") ======= import os import sys import time import logging logging.basicConfig(level=logging.INFO, stream=sys.stdout,format='%(message)s') import numpy as np # fundamental numeric operations package import tomopy # tomographic reconstrcution package import dxchange import h5py import glob import getpass # allows commandline password input import requests # tools for web requests/communication with online APIs # Create spot session class # This class includes all functions for authenticating and communcating with SPOT API class SpotSession(): # ============================================================================= # Login # tested, works properly def __init__ (self,username='default'): """ Prompts user for username and password """ self.URL_authentication = "https://portal-auth.nersc.gov/als/auth" self.username = username self.spot_username = raw_input("username:") spot_password = getpass.getpass() if username == 'default': # if no additional usermane is given, spot username is stored to be used in file paths self.spot_username=spot_username s = requests.Session() r = s.post(self.URL_authentication,{"username":self.spot_username,"password":spot_password}) self.session = s """ POST URL: https://portal-auth.nersc.gov/als/auth EXAMPLE: % curl -k -c cookies.txt -X POST -d "username=[your_username]&password=[your_password]" https://portal-auth.nersc.gov/als/auth """ # ============================================================================= # Check Authentication # tested, works properly def check_authentication(self): r = self.session.get(self.URL_authentication) #return r.json() return r.json()['auth'] def authentication(self): r = s.get(self.URL_authentication) if r.json()['auth'] == False: print("Authentication required to start a new session") spot_username = raw_input("username:") spot_password = getpass.getpass() s = requests.Session() r = s.post(self.URL_authentication,{"username":spot_username,"password":spot_password}) self.session = s r = s.get(self.URL_authentication) return r.json() # ============================================================================= # Close session # *** DOES NOT WORK *** def close(self): self.session.close() r = self.session.get(self.URL_authentication) return r.json() # ============================================================================= # Search Datasets # tested, works properly, returns list of json oblejcts def search(self, query, limitnum = 10, # number of results to show skipnum = 0, # number of results to skip sortterm = "fs.stage_date", # database field on which to sort (commonly fs.stage_date or appmetadata.sdate) sorttype = "desc"): # sorttype: desc or asc self.URL_search = "https://portal-auth.nersc.gov/als/hdf/search" self.PARAMS_search = {"limitnum": limitnum, "skipnum":skipnum, "sortterm": sortterm, "sorttype": sorttype, "search": search} r = self.session.get(url=self.URL_search,params=self.PARAMS_search) return r.json() # returns list of JSON objects containing search results """ GET URL: https://portal-auth.nersc.gov/als/hdf/search Arguments: limitnum: number of results to show skipnum: number of results to skip sortterm: database field on which to sort (commonly fs.stage_date or appmetadata.sdate) sorttype: desc or asc search: query Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/search?skipnum=0&limitnum=10&sortterm=fs.stage_date&sorttype=desc&search=end_station=bl832" """ # ============================================================================= # Find Derived Datasets (norm, sino, gridrec, imgrec) from raw dataset # Tested, works, returns list of json objects def derived_datasets(self,dataset): self.URL_DerivedDatasets = "https://portal-auth.nersc.gov/als/hdf/dataset" self.PARAMS_DerivedDatasets = {"dataset":dataset} r = self.session.get(self.URL_DerivedDatasets,params=self.PARAMS_DerivedDatasets) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/dataset Arguments: dataset: raw dataset Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/dataset?dataset=20130713_185717_Chilarchaea_quellon_F_9053427_IKI_" """ # ============================================================================= # Takes dataset name and formats for use in API calls # tested, used in class methods that require [dataset] entry in URL def formatPath(self,dataset,username='default'): dataset = dataset.strip(".h5") if (username=='default' or username==None): username = self.spot_username filename = dataset elif "/" in dataset: # determine if dataset contains username and splits # 'username/filename' becomes two separate strings: username and filename datasplit = dataset.split("/") username = datasplit[-2] filename = datasplit[-1] else: filename=dataset return filename,username # ============================================================================= # View Attributes for Single Dataset and Image Within Dataset def attributes(self,dataset,username=None): self.URL_attributes = "https://portal-auth.nersc.gov/als/hdf/attributes/als/bl832/" dataset,username = self.formatPath(dataset,username=username) URLstring = self.URL_attributes+username+"/"+dataset+"/raw/"+dataset+".h5" r = self.session.get(url=URLstring,params={"group":"/"}) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/attributes/[dataset] Arguments: group: path in hdf5 file. Set to "/" for overall attributes Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/attributes/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5?group=/" """ # ============================================================================= # List Images Within Dataset # *** NOT TESTED *** def list_images(self,dataset): dataset =dataset.strip(".h5") self.URL_listImages = "https://portal-auth.nersc.gov/als/hdf/listimages/als/bl832/" URL r = self.session.get(self.URL_listImages+dataset) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/listimages/[dataset] Arguments: None Result: JSON List (paths to images within the HDF5 file) EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/listimages/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5" """ # ============================================================================= # Stage Dataset From Tape to Disk if Required # Tested, works properly # ... Not sure how to figure figure out when staging is complete. def stage(self,dataset,username='default'): fileName,username = self.formatPath(dataset,username) self.URL_stage = "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/" URL_string = self.URL_stage+username+"/"+fileName+"/raw/"+fileName+".h5" r = self.session.get(url=URL_string) return r """ GET URL: https://portal-auth.nersc.gov/als/hdf/stageifneeded/[dataset] Arguments: None Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h5" """ # ============================================================================= # Download Dataset # tested, downloads large file, haven't opened file to see if it worked def download(self,dataset,username='default',downloadPath='default',downloadName='default'): filename,username = self.formatPath(dataset,username=username)# process input path downloadName = downloadName.strip('.h5') # remove .h5 from output file name self.URL_download = "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/" if downloadPath=='default': downloadPath = "./" if downloadName=='default': downloadName = filename if downloadPath[-1] != "/": # add "/" to output path if it is not included downloadPath = downloadPath+"/" URL_string = self.URL_download+username+"/"+filename+"/raw/"+filename+".h5" # print(URL_string) r = self.session.get(URL_string) fileLocation = downloadPath+downloadName+".h5" with open(fileLocation, "wb") as location: location.write(r.content) print('download complete: ' + fileLocation) return fileLocation """ GET URL: https://portal-auth.nersc.gov/als/hdf/download/[dataset] Arguments: None Result: H5 File EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/raw/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_.h" > file.h5 """ # ============================================================================= # Download Rawdata For Individual Image # *** NOT TESTED *** def download_image(self,dataset,username=None,number=0): if (type(number)==int or type(number)==float): numstring = "_"+str(int(number)).zfill(4) filename,username = self.deconstruct_DatasetPath(dataset,username=username) self.URL_download = "https://portal-auth.nersc.gov/als/hdf/download/als/bl832/" URL_string = URL_download+username+"/"+filename+"-"+filename+".h5" #NOT SURE WHAT TO DO HERE r = self.session.get(URL_string) return r.json() """ GET URL: https://portal-auth.nersc.gov/als/hdf/rawdata/[dataset] Arguments: group: path in HDF5 file to image Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/rawdata/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/norm/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_-norm-20130714_192637.h5?group=/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/20130713_185717_Chilarchaea_quellon_F_9053427_IKI__0000_0640.tif" """ # ============================================================================= # Get Download URLs for .tif and .png files for individual image # *** Not written *** # *** NOT TESTED *** """ GET URL: https://portal-auth.nersc.gov/als/hdf/image/[dataset] Arguments: group: path in HDF5 file to image Result: JSON Array EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/image/als/bl832/hmwood/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/norm/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_-norm-20130714_192637.h5?group=/20130713_185717_Chilarchaea_quellon_F_9053427_IKI_/20130713_185717_Chilarchaea_quellon_F_9053427_IKI__0000_0640.tif" """ # ============================================================================= # Run TomoPy on an existing dataset # *** Not written *** # *** NOT TESTED *** """ GET URL: https://portal-auth.nersc.gov/als/hdf/tomopyjob Arguments: dataset: raw dataset Result: JSON List EXAMPLE: % curl -k -b cookies.txt -X GET "https://portal-auth.nersc.gov/als/hdf/tomopyjob?dataset=20130713_185717_Chilarchaea_quellon_F_9053427_IKI_" """ # ============================================================================= # """ Functions for NERSC """ # ============================================================================= def list_from_txt(TextFilePath='../filepath/UnformatedFileList_Test.txt',comment='#'): """ Converts unformatted .txt file with \n separated file names into python list """ if '.py' in TextFilePath: # if file path is actually a python script, run script instead execfile(TextFilePath) else: textFile = open(TextFilePath,'r') # open text file data = textFile.readlines() #read lines of text into list of strings fileList = [] for i in range(len(data)): data[i] = data[i].strip(" ") # remove spaces data[i]=data[i].strip("\n") # remove returns if data[i][0] != comment: fileList.append(data[i]) # keep lines that are not commented return(fileList) # ============================================================================= def list_h5_files(searchDir): """ Finds all .h5 files in the search directory """ if searchDir[-1] != '/': searchDir = searchDir+"/" h5_list = glob.glob(searchDir+"*.h5") return(h5_list) # ============================================================================= NERSC_DefaultPath="/global/project/projectdirs/als/spade/warehouse/als/bl832/" userDefault = "hsbarnard" def NERSC_ArchivePath(filename,useraccount=userDefault,archivepath=NERSC_DefaultPath): ''' Generates path to raw tomography projection data in NERSC Archives Input list of file names, returns list of NERSC paths ''' # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] # Generate list of NERSC Paths from fileList pathOut=[] for i in range(len(filename)): #pathOut.append( archivepath +useraccount+ "/" + filename[i] + "/raw/" + filename[i]+".h5" ) pathOut.append( archivepath +useraccount+ "/" + filename[i] + "/raw/") print(pathOut) return pathOut # ============================================================================= def NERSC_StageData(filename,username='default'): ''' curl command sent to spot.nersc to stage data if stored on tape requires credentials. Run the following command > curl -k -c cookies.txt -X POST -d "username=[your_username]&password=[your_password]" https://portal-auth.nersc.gov/als/auth for more info: http://spot.nersc.gov/api.php ''' #Prompts user for username and password URL_authentication = "https://portal-auth.nersc.gov/als/auth" spot_username = raw_input("username:") spot_password = getpass.getpass() if username == 'default': # if no additional usermane is given, spot username is stored to be used in file paths username=spot_username s = requests.Session() r = s.post(URL_authentication,{"username":spot_username,"password":spot_password}) # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] baseURL = "https://portal-auth.nersc.gov/als/hdf/stageifneeded/als/bl832/" r_list=[] for i in range(len(filename)): r = s.get(baseURL + useraccount +"/"+ filename[i]+"/raw/"+filename[i]+".h5") print(command_string) r_list.append(r.json()) return r_list # return json # ============================================================================= def NERSC_RetreiveData(filename, username, destinationpath, archivepath=NERSC_DefaultPath): ''' Downloads raw tomography projection data in NERSC from NERSC Archives for a list of file names ''' # Convert filename to list type if only one file name is given if type(filename) != list: filename=[filename] # Generate file paths and destination paths filePathIn = [] filePathOut = [] for i in range(len(filename)): print(archivepath,useraccount,filename[i]) filePathIn.append( archivepath +useraccount+ "/" + filename[i] + "/raw/" + filename[i]+".h5" ) filePathOut.append( destinationpath + filename[i] + ".h5") logging.info("file path list complete"); print(filePathIn) logging.info("destination path list complete"); print(filePathOut) # Copy Files to desintation for i in range(len(filename)): logging.info("begin transfer: "+filePathIn[i]) os.system("cp " + filePathIn[i] + " " + filePathOut[i]) logging.info("transfer complete: ") >>>>>>> origin/master

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390747172666158a8595e314eef5bdaaabd915b4

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py

Python

purbeurre_project/apps/users/tests/functional/test_chrome.py

etiennody/purbeurre-v2

cee10b5ad3ccee6535f197070cd4ee80f2bad5d0

[ "MIT" ]

null

purbeurre_project/apps/users/tests/functional/test_chrome.py

etiennody/purbeurre-v2

cee10b5ad3ccee6535f197070cd4ee80f2bad5d0

[ "MIT" ]

3

2020-10-12T13:58:38.000Z

2020-11-12T01:02:14.000Z

purbeurre_project/apps/users/tests/functional/test_chrome.py

etiennody/purbeurre-v2

cee10b5ad3ccee6535f197070cd4ee80f2bad5d0

[ "MIT" ]

1

2021-02-03T18:49:31.000Z

"""Functional tests for users app """ import time import unittest from django.contrib.auth.models import User from django.test import LiveServerTestCase from selenium import webdriver from selenium.webdriver.chrome.options import Options from selenium.webdriver.common.by import By from selenium.webdriver.common.keys import Keys class RegisterSeleniumTest(LiveServerTestCase): """Register functional test with selenium Args: LiveServerTestCase ([type]): Do basically the same as TransactionTestCase but also launch a live HTTP server in a separate thread so that the tests use another testing framework, as Selenium, instead of the built-in dummy client. """ def setUp(self): chrome_options = Options() chrome_options.add_argument("--headless") chrome_options.add_argument("--disable-gpu") chrome_options.add_argument("--remote-debugging-port=9222") chrome_options.add_argument("--window-size=1920x1080") self.driver = webdriver.Chrome(chrome_options=chrome_options) def test_valid_live_register_page(self): """Validate data entries on the registration page""" self.driver.get("%s%s" % (self.live_server_url, "/register/")) username = self.driver.find_element(By.ID, "id_username") first_name = self.driver.find_element(By.ID, "id_first_name") last_name = self.driver.find_element(By.ID, "id_last_name") email = self.driver.find_element(By.ID, "id_email") password1 = self.driver.find_element(By.ID, "id_password1") password2 = self.driver.find_element(By.ID, "id_password2") submit = self.driver.find_element(By.CLASS_NAME, "btn") time.sleep(5) self.driver.implicitly_wait(5) username.send_keys("BobRobert") first_name.send_keys("Bob") last_name.send_keys("Robert") email.send_keys("bobrobert@test.com") password1.send_keys("fglZfYmr%?,9") password2.send_keys("fglZfYmr%?,9") submit.click() time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/login")) self.assertIn("Se connecter", self.driver.page_source) self.assertTrue(User.objects.filter(username="BobRobert").exists()) def tearDown(self): self.driver.close() class LoginSeleniumTest(LiveServerTestCase): """Login functional test with selenium Args: LiveServerTestCase ([type]): Do basically the same as TransactionTestCase but also launch a live HTTP server in a separate thread so that the tests use another testing framework, as Selenium, instead of the built-in dummy client. """ def setUp(self): chrome_options = Options() chrome_options.add_argument("--headless") chrome_options.add_argument("--disable-gpu") chrome_options.add_argument("--remote-debugging-port=9222") chrome_options.add_argument("--window-size=1920x1080") self.driver = webdriver.Chrome(chrome_options=chrome_options) user = User.objects.create( username="BobRobert", first_name="Bob", last_name="Robert", email="test_bob@test.com", ) user.set_password("fglZfYmr%?,9") user.save() super(LoginSeleniumTest, self).setUp() def test_valid_live_login_page(self): """Validate data entries on the login page""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s" % (self.live_server_url)) self.assertIn("Accueil :: Purbeurre", self.driver.title) def tearDown(self): self.driver.close() super(LoginSeleniumTest, self).tearDown() class ChangePasswordSeleniumTest(LiveServerTestCase): """Change password in functional tests with selenium Args: LiveServerTestCase ([type]): Do basically the same as TransactionTestCase but also launch a live HTTP server in a separate thread so that the tests use another testing framework, as Selenium, instead of the built-in dummy client. """ def setUp(self): chrome_options = Options() chrome_options.add_argument("--headless") chrome_options.add_argument("--disable-gpu") chrome_options.add_argument("--remote-debugging-port=9222") chrome_options.add_argument("--window-size=1920x1080") self.driver = webdriver.Chrome(chrome_options=chrome_options) user = User.objects.create( username="BobRobert", first_name="Bob", last_name="Robert", email="test_bob@test.com", ) user.set_password("fglZfYmr%?,9") user.save() super(ChangePasswordSeleniumTest, self).setUp() def test_valid_live_change_password_page(self): """Validate data entries on the change password page""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,9") new_password1.send_keys("%h2KtHFJ_%JY") new_password2.send_keys("%h2KtHFJ_%JY") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual( current_url, "%s%s" % (self.live_server_url, "/password_success") ) self.assertIn("Mot de passe modifié :: Purbeurre", self.driver.title) self.assertIn( "Votre mot de passe a bien été modifié avec succès !", self.driver.page_source, ) def test_invalid_live_change_password_with_personal_information(self): """Unvalidate data entries on the change password page with personal information""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,9") new_password1.send_keys("BobRobert") new_password2.send_keys("BobRobert") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/password")) self.assertIn( "Le mot de passe est trop semblable au champ « nom d’utilisateur ».", self.driver.page_source, ) def test_invalid_live_change_password_with_only_number(self): """Unvalidate data entries on the change password page with only number""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,9") new_password1.send_keys("12345678") new_password2.send_keys("12345678") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/password")) self.assertIn( "Ce mot de passe est entièrement numérique.", self.driver.page_source ) def test_invalid_live_change_password_with_short_entries(self): """Unvalidate data entries on the change password page with short entries""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,9") new_password1.send_keys("Q=3") new_password2.send_keys("Q=3") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/password")) self.assertIn( "Ce mot de passe est trop court. Il doit contenir au minimum 8 caractères.", self.driver.page_source, ) def test_invalid_live_change_password_with_differents_new_passwords(self): """Unvalidate data entries on the change password page with short entries""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,9") new_password1.send_keys("tbf:[D=5") new_password2.send_keys("kOx`Y{nM") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/password")) self.assertIn( "Les deux mots de passe ne correspondent pas.", self.driver.page_source, ) def test_invalid_live_change_password_with_wrong_old_password(self): """Unvalidate data entries on the change password page with short entries""" self.driver.get("%s%s" % (self.live_server_url, "/login/")) username = self.driver.find_element(By.ID, "id_username") password = self.driver.find_element(By.ID, "id_password") submit = self.driver.find_element(By.ID, "submit-button") username.send_keys("BobRobert") password.send_keys("fglZfYmr%?,9") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) self.driver.get("%s%s" % (self.live_server_url, "/password/")) old_password = self.driver.find_element(By.ID, "id_old_password") new_password1 = self.driver.find_element(By.ID, "id_new_password1") new_password2 = self.driver.find_element(By.ID, "id_new_password2") submit = self.driver.find_element(By.ID, "submit-button") old_password.send_keys("fglZfYmr%?,") new_password1.send_keys("kOx`Y{nM") new_password2.send_keys("kOx`Y{nM") submit.send_keys(Keys.RETURN) time.sleep(5) self.driver.implicitly_wait(5) current_url = self.driver.current_url if (self.driver.current_url[len(self.driver.current_url) - 1]) == "/": current_url = self.driver.current_url[:-1] self.assertEqual(current_url, "%s%s" % (self.live_server_url, "/password")) self.assertIn( "Votre ancien mot de passe est incorrect. Veuillez le rectifier.", self.driver.page_source, ) def tearDown(self): self.driver.close() super(ChangePasswordSeleniumTest, self).tearDown()

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null

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8

1a8e8646374f2d4b2012fcbe855f6179a7654b83

7,155

py

Python

gui/action/fileIOAction.py

swyang50066/medical-image-segmentation

bf53a19864bb31d8d4828b3bf42d9cf5f6bf361c

[ "MIT" ]

1

2022-03-23T07:36:58.000Z

gui/action/fileIOAction.py

swyang50066/medical-image-segmentation

bf53a19864bb31d8d4828b3bf42d9cf5f6bf361c

[ "MIT" ]

null

gui/action/fileIOAction.py

swyang50066/medical-image-segmentation

bf53a19864bb31d8d4828b3bf42d9cf5f6bf361c

[ "MIT" ]

null

import cv2 import numpy as np from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from file import File class FileIOAction(object): def __init__(self): super().__init__() def openDICOM(self): ''' Open input file ''' # Read file path path = QFileDialog.getOpenFileName() # No path given if not str(path[0]): return 0 # Get image layers layers, attribute = File.importDICOM(str(path[0])) self.canvas.image = layers[0] self.canvas.seedOverlay = layers[1] self.canvas.segmentOverlay = layers[2] self.canvas.seed = np.zeros_like(layers[1])[..., 0] self.canvas.spacing = layers[3] # Reset label self.canvas.label = np.zeros_like(self.canvas.seed) # Reset markers self.markers = {"dot": [], "line": [], "arc": [], "box": [], "curve": []} self.invisibleMarkerIndex = {"dot": [], "line": [], "arc": [], "box": [], "curve": []} self.markerHashMap = {} # Reset overview items overviewTreeItems = self.overviewTree.findItems( "Marker", Qt.MatchContains | Qt.MatchRecursive) for overviewTreeItem in overviewTreeItems: self.annotationTreeItem.removeChild(overviewTreeItem) self.segmentTreeItem.takeChildren() self.segmentTreeItem.setFlags(Qt.ItemIsSelectable) self.CPRTreeItem.takeChildren() self.CPRTreeItem.setFlags(Qt.ItemIsSelectable) # Display image axialQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSeed()) segmentQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSegment()) coronalQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithCoronal()) sagittalQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSagittal()) self.axialQLabel.setPixmap(axialQPixmap) self.segmentQLabel.setPixmap(segmentQPixmap) self.coronalQLabel.setPixmap(coronalQPixmap) self.sagittalQLabel.setPixmap(sagittalQPixmap) # Adjust scroll bar range self.scrollBar.setMaximum(len(self.canvas.image)-1) # Set histogram self.canvas.gamma = 1 self.canvas.valmin, self.canvas.valmax = 0, 255 self.histogramView.initialize(self.canvas.image, self.histCanvas, self.histAxes) # Set DICOM attribute table for k, (key, value) in enumerate(attribute.items()): tableItem = QTableWidgetItem(value) self.dicomTable.setItem(k, 0, tableItem) # Update python console variables variables = {"image": self.canvas.image} self.ipyConsole.pushVariables(variables) def openFile(self): ''' Open input file ''' # Read file path path = QFileDialog.getOpenFileName() # No path given if not str(path[0]): return 0 # Get image layers layers = File.importImage(str(path[0])) self.canvas.image = layers[0] self.canvas.seedOverlay = layers[1] self.canvas.segmentOverlay = layers[2] self.canvas.seed = np.zeros_like(layers[1])[..., 0] # Reset label self.canvas.label = np.uint8(self.canvas.image[..., 1] - self.canvas.image[..., 2] == 255) #np.zeros_like(self.canvas.seed) # Reset markers self.markers = {"dot": [], "line": [], "arc": [], "box": [], "curve": []} self.invisibleMarkerIndex = {"dot": [], "line": [], "arc": [], "box": [], "curve": []} self.markerHashMap = {} # Reset overview items overviewTreeItems = self.overviewTree.findItems( "Marker", Qt.MatchContains | Qt.MatchRecursive) for overviewTreeItem in overviewTreeItems: self.annotationTreeItem.removeChild(overviewTreeItem) self.segmentTreeItem.takeChildren() self.segmentTreeItem.setFlags(Qt.ItemIsSelectable) self.CPRTreeItem.takeChildren() self.CPRTreeItem.setFlags(Qt.ItemIsSelectable) # Display image axialQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSeed()) segmentQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSegment()) coronalQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithCoronal()) sagittalQPixmap = self.canvas.getQPixmap( self.canvas.getImageWithSagittal()) self.axialQLabel.setPixmap(axialQPixmap) self.segmentQLabel.setPixmap(segmentQPixmap) self.coronalQLabel.setPixmap(coronalQPixmap) self.sagittalQLabel.setPixmap(sagittalQPixmap) # Adjust scroll bar range self.scrollBar.setMaximum(len(self.canvas.image)-1) # Set histogram self.canvas.gamma = 1 self.canvas.valmin, self.canvas.valmax = 0, 255 self.histogramView.initialize(self.canvas.image, self.histCanvas, self.histAxes) # Update python console variables variables = {"image": self.canvas.image} self.ipyConsole.pushVariables(variables) def saveFile(self): ''' Save output file ''' # Read output path path = QFileDialog.getExistingDirectory() # save output file File.exportImage(path, self.canvas.image, self.canvas.label, self.canvas.colorSeed, fformat='bmp') def saveSTL(self): ''' Save STL ''' # Read output path path = QFileDialog.getExistingDirectory() # save output file File.exportSTL(path, self.canvas.label) def closeWindow(self): ''' Close application window ''' self.window.close()

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null

0

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null

0

7

1aa4528375f8f7db2a58e1857e94b6391941d0cb

8,790

py

Python

project/dqn_all_games.py

aditya140/rlcard

de203b9b74a653019452aeb0622345f33dd42eda

[ "MIT" ]

null

project/dqn_all_games.py

aditya140/rlcard

de203b9b74a653019452aeb0622345f33dd42eda

[ "MIT" ]

null

project/dqn_all_games.py

aditya140/rlcard

de203b9b74a653019452aeb0622345f33dd42eda

[ "MIT" ]

null

import torch import os import sys sys.path.append(".") import rlcard from rlcard.agents import RandomAgent, DQN_agent, DQN_conf from rlcard.utils import set_global_seed, tournament from rlcard.utils import Logger def train_blackjack(): # Make environment env = rlcard.make("blackjack", config={"seed": 0}) eval_env = rlcard.make("blackjack", config={"seed": 0}) # Set the iterations numbers and how frequently we evaluate the performance evaluate_every = 100 evaluate_num = 1000 episode_num = 3000 # The intial memory size memory_init_size = 1000 # Train the agent every X steps train_every = 100 # The paths for saving the logs and learning curves log_dir = "./experiments/blackjack_results_dqn/" # Set a global seed set_global_seed(0) params = { "scope": "DQN-Agent", "num_actions": env.action_num, "replay_memory_size": memory_init_size, "num_states": env.state_shape, "discount_factor": 0.99, "epsilon_start": 1.0, "epsilon_end": 0.1, "epsilon_decay_steps": 20000, "batch_size": 32, "train_every": 1, "mlp_layers": [128, 128], "lr": 0.0005, } agent_conf = DQN_conf(**params) agent = DQN_agent(agent_conf) random_agent = RandomAgent(action_num=eval_env.action_num) env.set_agents([agent, random_agent]) eval_env.set_agents([agent, random_agent]) logger = Logger(log_dir) for episode in range(episode_num): # Generate data from the environment trajectories, _ = env.run(is_training=True) # Feed transitions into agent memory, and train the agent for ts in trajectories[0]: agent.feed(ts) # Evaluate the performance. Play with random agents. if episode % evaluate_every == 0: logger.log_performance(env.timestep, tournament(eval_env, evaluate_num)[0]) # Close files in the logger logger.close_files() # Plot the learning curve logger.plot("DQN BLACKJACK") # Save model save_dir = "models/blackjack_dqn_pytorch" if not os.path.exists(save_dir): os.makedirs(save_dir) state_dict = agent.get_state_dict() print(state_dict.keys()) torch.save(state_dict, os.path.join(save_dir, "model.pth")) def train_uno(): # Make environment env = rlcard.make("uno", config={"seed": 0}) eval_env = rlcard.make("uno", config={"seed": 0}) # Set the iterations numbers and how frequently we evaluate the performance evaluate_every = 100 evaluate_num = 1000 episode_num = 3000 # The intial memory size memory_init_size = 1000 # Train the agent every X steps train_every = 100 # The paths for saving the logs and learning curves log_dir = "./experiments/uno_results_dqn/" # Set a global seed set_global_seed(0) params = { "scope": "DQN-Agent", "num_actions": env.action_num, "replay_memory_size": memory_init_size, "num_states": env.state_shape, "discount_factor": 0.99, "epsilon_start": 1.0, "epsilon_end": 0.1, "epsilon_decay_steps": 20000, "batch_size": 32, "train_every": 1, "mlp_layers": [512, 512], "lr": 0.0005, } agent_conf = DQN_conf(**params) agent = DQN_agent(agent_conf) random_agent = RandomAgent(action_num=eval_env.action_num) env.set_agents([agent, random_agent]) eval_env.set_agents([agent, random_agent]) logger = Logger(log_dir) for episode in range(episode_num): # Generate data from the environment trajectories, _ = env.run(is_training=True) # Feed transitions into agent memory, and train the agent for ts in trajectories[0]: agent.feed(ts) # Evaluate the performance. Play with random agents. if episode % evaluate_every == 0: logger.log_performance(env.timestep, tournament(eval_env, evaluate_num)[0]) # Close files in the logger logger.close_files() # Plot the learning curve logger.plot("DQN UNO") # Save model save_dir = "models/uno_dqn_pytorch" if not os.path.exists(save_dir): os.makedirs(save_dir) state_dict = agent.get_state_dict() print(state_dict.keys()) torch.save(state_dict, os.path.join(save_dir, "model.pth")) def train_leduc_holdem_poker(): # Make environment env = rlcard.make("leduc-holdem", config={"seed": 0}) eval_env = rlcard.make("leduc-holdem", config={"seed": 0}) # Set the iterations numbers and how frequently we evaluate the performance evaluate_every = 100 evaluate_num = 1000 episode_num = 3000 # The intial memory size memory_init_size = 1000 # Train the agent every X steps train_every = 100 # The paths for saving the logs and learning curves log_dir = "./experiments/leduc_holdem_results_dqn/" # Set a global seed set_global_seed(0) params = { "scope": "DQN-Agent", "num_actions": env.action_num, "replay_memory_size": memory_init_size, "num_states": env.state_shape, "discount_factor": 0.99, "epsilon_start": 1.0, "epsilon_end": 0.1, "epsilon_decay_steps": 20000, "batch_size": 32, "train_every": 1, "mlp_layers": [128, 128], "lr": 0.0005, } agent_conf = DQN_conf(**params) agent = DQN_agent(agent_conf) random_agent = RandomAgent(action_num=eval_env.action_num) env.set_agents([agent, random_agent]) eval_env.set_agents([agent, random_agent]) logger = Logger(log_dir) for episode in range(episode_num): # Generate data from the environment trajectories, _ = env.run(is_training=True) # Feed transitions into agent memory, and train the agent for ts in trajectories[0]: agent.feed(ts) # Evaluate the performance. Play with random agents. if episode % evaluate_every == 0: logger.log_performance(env.timestep, tournament(eval_env, evaluate_num)[0]) # Close files in the logger logger.close_files() # Plot the learning curve logger.plot("DQN Leduc holdem") # Save model save_dir = "models/leduc_holdem_dqn_pytorch" if not os.path.exists(save_dir): os.makedirs(save_dir) state_dict = agent.get_state_dict() print(state_dict.keys()) torch.save(state_dict, os.path.join(save_dir, "model.pth")) def train_mahjong(): # Make environment env = rlcard.make("mahjong", config={"seed": 0}) eval_env = rlcard.make("mahjong", config={"seed": 0}) # Set the iterations numbers and how frequently we evaluate the performance evaluate_every = 100 evaluate_num = 1000 episode_num = 3000 # The intial memory size memory_init_size = 1000 # Train the agent every X steps train_every = 100 # The paths for saving the logs and learning curves log_dir = "./experiments/mahjong_results_dqn/" # Set a global seed set_global_seed(0) params = { "scope": "DQN-Agent", "num_actions": env.action_num, "replay_memory_size": memory_init_size, "num_states": env.state_shape, "discount_factor": 0.99, "epsilon_start": 1.0, "epsilon_end": 0.1, "epsilon_decay_steps": 20000, "batch_size": 32, "train_every": 1, "mlp_layers": [512, 512], "lr": 0.0005, } agent_conf = DQN_conf(**params) agent = DQN_agent(agent_conf) random_agent = RandomAgent(action_num=eval_env.action_num) env.set_agents([agent, random_agent, random_agent, random_agent]) eval_env.set_agents([agent, random_agent, random_agent, random_agent]) logger = Logger(log_dir) for episode in range(episode_num): # Generate data from the environment trajectories, _ = env.run(is_training=True) # Feed transitions into agent memory, and train the agent for ts in trajectories[0]: agent.feed(ts) # Evaluate the performance. Play with random agents. if episode % evaluate_every == 0: logger.log_performance(env.timestep, tournament(eval_env, evaluate_num)[0]) # Close files in the logger logger.close_files() # Plot the learning curve logger.plot("DQN Mahjong") # Save model save_dir = "models/mahjong_dqn_pytorch" if not os.path.exists(save_dir): os.makedirs(save_dir) state_dict = agent.get_state_dict() print(state_dict.keys()) torch.save(state_dict, os.path.join(save_dir, "model.pth")) if __name__ == "__main__": # train_uno() # train_blackjack() # train_leduc_holdem_poker() train_mahjong()

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null

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1

0

1

0

null

0

7

46c7d0b372988e0fe0d4f07d705083852b232e7d

46

py

Python

rap/sweeps/data_management/__init__.py

mdaal/rap

b18f3ffb71688ccbd967bae153b058054870a88c

[ "MIT" ]

null

rap/sweeps/data_management/__init__.py

mdaal/rap

b18f3ffb71688ccbd967bae153b058054870a88c

[ "MIT" ]

null

rap/sweeps/data_management/__init__.py

mdaal/rap

b18f3ffb71688ccbd967bae153b058054870a88c

[ "MIT" ]

null

print("rap.sweeps.data_management level init")

46

0.826087

7

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7

46fadde31872e402057d8780216304033e31b735

164

py

Python

g2base/remoteObjects/ro_pubsub.py

naojsoft/g2cam

4f01cdccae7978d5c16af59a90ff7459ed6c2997

[ "BSD-3-Clause" ]

null

g2base/remoteObjects/ro_pubsub.py

naojsoft/g2cam

4f01cdccae7978d5c16af59a90ff7459ed6c2997

[ "BSD-3-Clause" ]

null

g2base/remoteObjects/ro_pubsub.py

naojsoft/g2cam

4f01cdccae7978d5c16af59a90ff7459ed6c2997

[ "BSD-3-Clause" ]

null

# # Choose internal version of pubsub # from .pubsubs.pubsub_redis import PubSub #from .pubsubs.pubsub_redis import PubSub #from .pubsubs.pubsub_zmq import PubSub

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2045a25e83c213b504148ccf226118ae86429ab0

28,389

py

Python

Boids.py

Dradoue/Boids

d7b79e49243c4a6fd437285b58ef6c0899e910d2

[ "MIT" ]

2

2021-04-06T14:41:27.000Z

2021-08-09T06:11:49.000Z

Boids.py

Dradoue/Boids

d7b79e49243c4a6fd437285b58ef6c0899e910d2

[ "MIT" ]

null

Boids.py

Dradoue/Boids

d7b79e49243c4a6fd437285b58ef6c0899e910d2

[ "MIT" ]

null

import time # import cupy as cp import numpy as np from Physics2D import Physics2D from constants import WINDOW_SIZE, \ BOID_VIEW_ANGLE, BOID_VIEW, \ EPSILON, LEAF_SIZE, \ SEPARATION_DIST, \ SEPARATION_FORCE, \ COHESION_FORCE, ALIGNMENT_FORCE, \ CHASING_FORCE, FLEE_FORCE, \ RELATIONS_SPECIES # imports from local files from utils import angle_between class Boids(Physics2D): """ Boids class, inherited from Physics2D, define the behavior of boids :param num_entities: number of boids for each species, (ex: [12,13] mean 12 boids for species 1 and 13 for species 2) :param positions: initial positions of boids, 2D array of shape (n_boids, 2) :param velocities: initial velocities of boids, 2D array of shape (n_boids, 2) :param min_speed: min speed (l2-norm) of boids :param max_speed: max speed (l2-norm) of boids :param max_turn: max angle change a boid can have on one step, pi/48 by default. """ def __init__(self, num_entities, positions, velocities, min_speed, max_speed, max_turn, dt=1): super().__init__(positions, velocities, min_speed, max_speed, max_turn, dt) self.positions = positions self.list_number_boids = num_entities self.grid = \ [[[] for _ in range(int((WINDOW_SIZE[0] / LEAF_SIZE)))] for _ in range(int(WINDOW_SIZE[1] / LEAF_SIZE))] self.steering = np.zeros(shape=(self.nb_entities, 2)) def update_boids(self): """ calculate acceleration for each boid with the rules. """ self.update_grid() self.apply_sca() self.update(self.steering) def apply_sca(self): """ apply separation, cohesion, alignment, chase and flee rules """ global timer1 timer1 = time.time() self.steering = np.zeros(shape=(self.nb_entities, 2)) for i in np.arange(int(WINDOW_SIZE[0] / LEAF_SIZE)): for j in np.arange(int(WINDOW_SIZE[1] / LEAF_SIZE)): sum = 0 grid = self.grid[i][j] list_species_indices = list() # for each species we apply CSA. n_species = 0 for num_boids in self.list_number_boids: boids_indices = np.arange(sum, sum + num_boids) sum += num_boids list_ind = list() for ind in boids_indices: if ind in grid: list_ind.append(ind) list_species_indices.append(list_ind) self.apply_cohesion(list_ind, n_species) self.apply_alignment(list_ind, n_species) self.apply_separation(list_ind, n_species) n_species += 1 # apply chasing and fleeing relations for k in range(RELATIONS_SPECIES.shape[0]): for l in range(RELATIONS_SPECIES.shape[0]): # species i chase species j if RELATIONS_SPECIES[k, l] == 1: self.apply_chasing(list_species_indices[k], list_species_indices[l], k) # species i flee species j if RELATIONS_SPECIES[k, l] == -1: self.apply_fleeing(list_species_indices[k], list_species_indices[l], k) timer2 = time.time() print("time for one timestep:", timer2 - timer1) def update_grid(self): """ update the grid """ self.grid = [[[] for _ in np.arange(int((WINDOW_SIZE[0] / LEAF_SIZE)))] for _ in np.arange(int(WINDOW_SIZE[1] / LEAF_SIZE))] indices_ = np.concatenate((np.array(np.floor(self.positions[:, 0] / LEAF_SIZE), dtype=int)[:, np.newaxis], np.array(np.floor(self.positions[:, 1] / LEAF_SIZE), dtype=int)[:, np.newaxis], np.arange(self.nb_entities, dtype=int)[:, np.newaxis]), axis=1) for i, j, k in indices_: self.grid[i][j].append(k) def apply_cohesion(self, indices, n_specie): """ apply cohesion rule to boids which have indices :indices: for species :n_specie: :param indices: indices to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices) <= 1: return for ind in indices: indices_ = list(indices) indices_.remove(ind) indices_ = np.array(indices_) dist = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) # neighbors indices relatively to indices_ neighbors = np.where(dist < BOID_VIEW[n_specie])[0] if neighbors.shape[0] > 0: # true_neighbors: true indices for positions and velocities # neighbors: indices of neighbors relatively to indices_ true_neighbors = indices_[neighbors] diff = self.positions[true_neighbors, :] \ - self.positions[ind, :] with np.errstate(invalid='ignore'): respect_angles = \ np.where(angle_between(self.velocities[ind, :], diff) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # respect_angles: indices of neighbors # relatively to true_neighbors final_true_neighbors = true_neighbors[respect_angles] if final_true_neighbors.shape[0] > 0: cohesion = np.mean(self.positions[final_true_neighbors, :], axis=0) - self.positions[ind, :] norm_cohesion = np.linalg.norm(cohesion) if norm_cohesion > EPSILON: self.steering[ind, :] += COHESION_FORCE[n_specie] * \ (cohesion / norm_cohesion) def apply_separation(self, indices, n_specie): """ apply separation rule to boids which have indices :indices: for species number :n_specie: :param indices: indices of boids to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices) <= 1: return for ind in indices: indices_ = list(indices) indices_.remove(ind) indices_ = np.array(indices_) # get the distances # l2 norms. dist_norm = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) dist = self.positions[indices_, :] \ - self.positions[ind, :] neighbors = np.where(dist_norm <= SEPARATION_DIST[n_specie])[0] if neighbors.shape[-1] != 0: respect_angles = \ np.where(angle_between(self.velocities[ind, :], dist[neighbors]) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # neighbors that respect angles respectively to indices_ neighbors_that_respect_angle = neighbors[respect_angles] if neighbors_that_respect_angle.shape[0] > 0: sep = np.sum(dist[neighbors_that_respect_angle, :], axis=0) self.steering[ind, :] -= SEPARATION_FORCE[n_specie] * sep # sep/dist_norm? def apply_alignment(self, indices, n_specie): """ apply alignment rule to boids which have indices :indices: for species number :n_specie: alignment -> boids tends to move like their neighbors :param indices: indices of boids to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices) <= 1: return for ind in indices: indices_ = list(indices) indices_.remove(ind) indices_ = np.array(indices_) dist = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) neighbors = np.where(dist < BOID_VIEW[n_specie])[0] # neighbors relatively to indices_ if neighbors.shape[-1] != 0: true_indices_neighbors = indices_[neighbors] diff = self.positions[true_indices_neighbors, :] \ - self.positions[ind, :] respect_angles = \ np.where(angle_between(self.velocities[ind, :], diff) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # neighbors relatively to true_indices_neighbors final_true_neighbors = true_indices_neighbors[respect_angles] if final_true_neighbors.shape[0] > 0: mean_vel = np.mean(self.velocities[final_true_neighbors, :], axis=0) norm_vel = np.linalg.norm(mean_vel) if norm_vel > EPSILON: self.steering[ind, :] += ALIGNMENT_FORCE[n_specie] * \ (mean_vel / norm_vel) def apply_chasing(self, indices_chase, indices_chased, n_specie): """ apply alignment rule to boids which have indices :indices: for species number :n_specie: alignment -> boids tends to move like their neighbors :param indices: indices of boids to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices_chase) == 0 or len(indices_chased) == 0: return # we take each that are chasing for ind in indices_chase: indices_ = list(indices_chased) indices_ = np.array(indices_) dist = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) # neighbors indices relatively to indices_ neighbors = np.where(dist < BOID_VIEW[n_specie])[0] if neighbors.shape[0] > 0: # true_neighbors: true indices for positions and velocities # neighbors: indices of neighbors relatively to indices_ true_neighbors = indices_[neighbors] diff = self.positions[true_neighbors, :] \ - self.positions[ind, :] with np.errstate(invalid='ignore'): respect_angles = \ np.where(angle_between(self.velocities[ind, :], diff) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # respect_angles: indices of neighbors # relatively to true_neighbors final_true_neighbors = true_neighbors[respect_angles] if final_true_neighbors.shape[0] > 0: cohesion = np.mean(self.positions[final_true_neighbors, :], axis=0) - self.positions[ind, :] norm_cohesion = np.linalg.norm(cohesion) if norm_cohesion > EPSILON: self.steering[ind, :] += CHASING_FORCE[n_specie] * \ (cohesion / norm_cohesion) def apply_fleeing(self, indices_flee, indices_fleed, n_specie): if len(indices_flee) == 0 or len(indices_fleed) == 0: return # we take each that are fleeing for ind in indices_flee: indices_ = list(indices_fleed) indices_ = np.array(indices_) # get the distances dist_norm = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) dist = self.positions[indices_, :] \ - self.positions[ind, :] neighbors = np.where(dist_norm <= BOID_VIEW[n_specie])[0] if neighbors.shape[-1] != 0: respect_angles = \ np.where(angle_between(self.velocities[ind, :], dist[neighbors]) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # neighbors that respect angles respectively to indices_ neighbors_that_respect_angle = neighbors[respect_angles] if neighbors_that_respect_angle.shape[0] > 0: flee = np.mean(dist[neighbors_that_respect_angle, :], axis=0) norm_flee = np.linalg.norm(flee) self.steering[ind, :] -= FLEE_FORCE[n_specie] * flee / norm_flee class Boids_(Physics2D): """ Boids class, inherited from Physics2D, define the behavior of boids :param num_entities: number of boids for each species, (ex: [12,13] mean 12 boids for species 1 and 13 for species 2) :param positions: initial positions of boids, 2D array of shape (n_boids, 2) :param velocities: initial velocities of boids, 2D array of shape (n_boids, 2) :param min_speed: min speed (l2-norm) of boids :param max_speed: max speed (l2-norm) of boids :param max_turn: max angle change a boid can have on one step, pi/48 by default. """ def __init__(self, num_entities, positions, velocities, min_speed, max_speed, max_turn, dt=1): super().__init__(positions, velocities, min_speed, max_speed, max_turn, dt) self.list_number_boids = num_entities self.list_indices_boids = list() self.init_list_indices_boids() self.dict_indices = dict() self.build_grid() self.positions = positions self.grid = \ [[[] for _ in range(int((WINDOW_SIZE[0] / LEAF_SIZE)))] for _ in range(int(WINDOW_SIZE[1] / LEAF_SIZE))] self.steering = np.zeros(shape=(self.nb_entities, 2)) def update_boids(self): """ calculate acceleration for each boid with the rules. """ self.update_grid() # calculate steering with rules # apply sca for each type of boids self.apply_sca() self.update(self.steering) def init_list_indices_boids(self): sum_ = 0 for i in range(len(self.list_number_boids)): self.list_indices_boids.append(np.arange(sum_, sum_ + self.list_number_boids[i])) sum_ += self.list_number_boids[i] def apply_sca(self): """ apply separation, cohesion, alignment, chase and flee rules """ self.steering = np.zeros(shape=(self.nb_entities, 2)) timer1 = time.time() for i in np.arange(int(WINDOW_SIZE[0] / LEAF_SIZE)): for j in np.arange(int(WINDOW_SIZE[1] / LEAF_SIZE)): # population from grid (i,j) grid = self.grid[i][j] # get neighbors from part (i,j) of the grid neighbors_from_grid = list() for (i_, j_) in self.dict_indices[i, j]: neighbors_from_grid += self.grid[i_][j_] # for each boids of each species in the grid part, we apply the rules for ind_species, n_species in zip(self.list_indices_boids, np.arange(len(self.list_indices_boids))): # look if there are Boids from this species in the indexes neighbors_from_grid_species = list() # neighbors from grid from a specific species ind_to_run = list() for ind in ind_species: if ind in neighbors_from_grid: neighbors_from_grid_species.append(ind) if ind in grid: ind_to_run.append(ind) for ind in ind_to_run: if neighbors_from_grid_species: self.apply_cohesion_separation_alignment(ind, neighbors_from_grid_species, n_species) # TODO: change chasing and fleeing methods # apply chasing and fleeing relations """ for i_ in range(RELATIONS_SPECIES.shape[0]): for j_ in range(RELATIONS_SPECIES.shape[0]): # species i chase species j if RELATIONS_SPECIES[i_, j_] == 1: self.apply_chasing(list_species_indices[i_], list_species_indices[j_], i_) # species i flee species j if RELATIONS_SPECIES[i_, j_] == -1: self.apply_fleeing(list_species_indices[i_], list_species_indices[j_], i_) """ timer2 = time.time() print("time for one timestep:", timer2 - timer1) def build_grid(self): """ create a grid which consist in a numpy matrix of lists """ size_grid = int(WINDOW_SIZE[0] / LEAF_SIZE) - 1 # 9 self.dict_indices = np.empty(shape=(size_grid + 1, size_grid + 1), dtype=list) # initialise with empty lists print(self.dict_indices.shape) for i in np.arange(size_grid + 1): for j in np.arange(size_grid + 1): self.dict_indices[i, j] = list() for i in np.arange(size_grid + 1): for j in np.arange(size_grid + 1): self.dict_indices[i, j].append((i, j)) # all particular cases if i == 0 and j == 0: self.dict_indices[i, j].append((i + 1, j)) self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i + 1, j + 1)) elif i == 0 and j == size_grid: self.dict_indices[i, j].append((i + 1, j)) self.dict_indices[i, j].append((i, j - 1)) self.dict_indices[i, j].append((i + 1, j - 1)) elif i == size_grid and j == 0: self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i - 1, j + 1)) elif i == size_grid and j == size_grid: self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i, j - 1)) self.dict_indices[i, j].append((i - 1, j - 1)) elif i == 0 and j in np.arange(size_grid): self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i, j - 1)) self.dict_indices[i, j].append((i + 1, j)) self.dict_indices[i, j].append((i + 1, j + 1)) self.dict_indices[i, j].append((i + 1, j - 1)) elif j == 0 and i in np.arange(size_grid): self.dict_indices[i, j].append((i + 1, j)) self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i + 1, j + 1)) self.dict_indices[i, j].append((i - 1, j + 1)) elif i == size_grid and j in np.arange(size_grid): self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i - 1, j - 1)) self.dict_indices[i, j].append((i - 1, j + 1)) self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i, j - 1)) elif j == size_grid and i in np.arange(size_grid): self.dict_indices[i, j].append((i, j)) self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i + 1, j - 1)) self.dict_indices[i, j].append((i + 1, j - 1)) self.dict_indices[i, j].append((i - 1, j - 1)) else: self.dict_indices[i, j].append((i + 1, j)) self.dict_indices[i, j].append((i - 1, j)) self.dict_indices[i, j].append((i, j + 1)) self.dict_indices[i, j].append((i, j - 1)) self.dict_indices[i, j].append((i + 1, j + 1)) self.dict_indices[i, j].append((i + 1, j - 1)) self.dict_indices[i, j].append((i - 1, j + 1)) self.dict_indices[i, j].append((i - 1, j - 1)) def update_grid(self): """ update the grid """ self.grid = [[[] for _ in range(int((WINDOW_SIZE[0] / LEAF_SIZE)))] for _ in range(int(WINDOW_SIZE[1] / LEAF_SIZE))] indices_ = np.concatenate((np.array(np.floor(self.positions[:, 0] / LEAF_SIZE), dtype=int)[:, np.newaxis], np.array(np.floor(self.positions[:, 1] / LEAF_SIZE), dtype=int)[:, np.newaxis], np.array(range(self.nb_entities), dtype=int)[:, np.newaxis]), axis=1) for i, j, k in indices_: self.grid[i][j].append(k) def apply_cohesion_separation_alignment(self, ind, indices, n_specie): """ apply cohesion rule to boids which have indices :indices: for species :n_specie: :param indices: indices to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices) <= 1: return indices_ = list(indices) indices_.remove(ind) indices_ = np.array(indices_) diff_ind = np.array(self.positions[indices_, :] - self.positions[ind, :]) dist = np.linalg.norm(diff_ind, axis=1) # neighbors indices relatively to indices_ neighbors = np.where(dist < BOID_VIEW[n_specie])[0] if neighbors.shape[0] > 0: # true_neighbors: true indices for positions and velocities # neighbors: indices of neighbors relatively to indices_ true_neighbors = indices_[neighbors] diff = self.positions[true_neighbors, :] \ - self.positions[ind, :] with np.errstate(invalid='ignore'): respect_angles = \ np.where(angle_between(self.velocities[ind, :], diff) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # respect_angles: indices of neighbors # relatively to true_neighbors final_true_neighbors = true_neighbors[respect_angles] if final_true_neighbors.shape[0] > 0: mean_vel = np.mean(self.velocities[final_true_neighbors, :], axis=0) norm_vel = np.linalg.norm(mean_vel) if norm_vel > EPSILON: self.steering[ind, :] += ALIGNMENT_FORCE[n_specie] * \ (mean_vel / norm_vel) cohesion = np.mean(self.positions[final_true_neighbors, :], axis=0) - self.positions[ind, :] norm_cohesion = np.linalg.norm(cohesion) if norm_cohesion > EPSILON: self.steering[ind, :] += COHESION_FORCE[n_specie] * \ (cohesion / norm_cohesion) # get the distances # l2 norms. dist_norm = np.linalg.norm(self.positions[final_true_neighbors, :] - self.positions[ind, :], axis=1) dist = self.positions[final_true_neighbors, :] \ - self.positions[ind, :] neighbors = np.where(dist_norm <= SEPARATION_DIST[n_specie])[0] if neighbors.shape[-1] != 0: respect_angles = \ np.where(angle_between(self.velocities[ind, :], dist[neighbors]) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # neighbors that respect angles respectively to indices_ neighbors_that_respect_angle = neighbors[respect_angles] if neighbors_that_respect_angle.shape[0] > 0: vector_separation = dist[neighbors_that_respect_angle, :] norm_vector_separation = np.abs(vector_separation) vector_separation = np.divide(vector_separation, norm_vector_separation) sep = np.sum(vector_separation, axis=0) self.steering[ind, :] -= SEPARATION_FORCE[n_specie] * sep # sep/dist_norm? def apply_chasing(self, indices_chase, indices_chased, n_specie): """ apply alignment rule to boids which have indices :indices: for species number :n_specie: alignment -> boids tends to move like their neighbors :param indices: indices of boids to apply the rule :n_specie: the species, an integer between 0 and num_species (used for parameters) """ if len(indices_chase) == 0 or len(indices_chased) == 0: return # we take each that are chasing for ind in indices_chase: indices_ = list(indices_chased) indices_ = np.array(indices_) dist = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) # neighbors indices relatively to indices_ neighbors = np.where(dist < BOID_VIEW[n_specie])[0] if neighbors.shape[0] > 0: # true_neighbors: true indices for positions and velocities # neighbors: indices of neighbors relatively to indices_ true_neighbors = indices_[neighbors] diff = self.positions[true_neighbors, :] \ - self.positions[ind, :] with np.errstate(invalid='ignore'): respect_angles = \ np.where(angle_between(self.velocities[ind, :], diff) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # respect_angles: indices of neighbors # relatively to true_neighbors final_true_neighbors = true_neighbors[respect_angles] if final_true_neighbors.shape[0] > 0: cohesion = np.mean(self.positions[final_true_neighbors, :], axis=0) - self.positions[ind, :] norm_cohesion = np.linalg.norm(cohesion) if norm_cohesion > EPSILON: self.steering[ind, :] += CHASING_FORCE[n_specie] * \ (cohesion / norm_cohesion) def apply_fleeing(self, indices_flee, indices_fleed, n_specie): if len(indices_flee) == 0 or len(indices_fleed) == 0: return # we take each that are fleeing for ind in indices_flee: indices_ = list(indices_fleed) indices_ = np.array(indices_) # get the distances dist_norm = np.linalg.norm(self.positions[indices_, :] - self.positions[ind, :], axis=1) dist = self.positions[indices_, :] \ - self.positions[ind, :] neighbors = np.where(dist_norm <= BOID_VIEW[n_specie])[0] if neighbors.shape[-1] != 0: respect_angles = \ np.where(angle_between(self.velocities[ind, :], dist[neighbors]) <= BOID_VIEW_ANGLE[n_specie] / 2)[0] # neighbors that respect angles respectively to indices_ neighbors_that_respect_angle = neighbors[respect_angles] if neighbors_that_respect_angle.shape[0] > 0: flee = np.mean(dist[neighbors_that_respect_angle, :], axis=0) norm_flee = np.linalg.norm(flee) self.steering[ind, :] -= FLEE_FORCE[n_specie] * flee / norm_flee

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tests/test_unit/test_rules.py

wsprague-nu/MINE-Database

4f9a4bf9d163e96da25a4dc8e5dffc9530fdc427

[ "MIT" ]

4

2020-07-13T17:04:42.000Z

2021-08-04T15:53:10.000Z

tests/test_unit/test_rules.py

wsprague-nu/MINE-Database

4f9a4bf9d163e96da25a4dc8e5dffc9530fdc427

[ "MIT" ]

5

2020-01-29T21:31:24.000Z

2021-11-16T16:17:23.000Z

tests/test_unit/test_rules.py

wsprague-nu/MINE-Database

4f9a4bf9d163e96da25a4dc8e5dffc9530fdc427

[ "MIT" ]

6

2019-10-23T05:10:12.000Z

2021-11-12T20:26:12.000Z

"""Tests for rules.py using pytest.""" import json from pathlib import Path from minedatabase import pickaxe from minedatabase.rules import BNICE, metacyc_generalized, metacyc_intermediate file_path = Path(__file__) file_dir = file_path.parent with open((file_dir / "../data/test_rules/rules_to_assert.json"), "r") as f: rule_assert_dict = json.load(f) def test_metacyc_generalized_full(): rule_list, correactant_list, rule_name = metacyc_generalized() pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_generalized" assert len(pk.operators) == 1216 assert len(pk.coreactants) == 45 assert ( pk.operators["rule0001"][1]["SMARTS"] == rule_assert_dict["Metacyc_generalized_rule0001"] ) def test_metacyc_generalized_specify_number(): rule_list, correactant_list, rule_name = metacyc_generalized(n_rules=10) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_generalized_10_rules" assert len(pk.operators) == 10 assert len(pk.coreactants) == 45 assert ( pk.operators["rule0001"][1]["SMARTS"] == rule_assert_dict["Metacyc_generalized_rule0001"] ) def test_metacyc_generalized_specify_fraction(): rule_list, correactant_list, rule_name = metacyc_generalized(fraction_coverage=0.9) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_generalized_0,9_fraction_coverage" assert len(pk.operators) == 413 assert len(pk.coreactants) == 45 assert ( pk.operators["rule0001"][1]["SMARTS"] == rule_assert_dict["Metacyc_generalized_rule0001"] ) def test_metacyc_exclude(): rule_list, correactant_list, rule_name = metacyc_generalized( fraction_coverage=0.9, exclude_containing=["aromatic", "halogen"] ) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_generalized_0,9_fraction_coverage_with_exclusion" assert len(pk.operators) == 839 assert len(pk.coreactants) == 45 def test_metacyc_include(): rule_list, correactant_list, rule_name = metacyc_generalized( fraction_coverage=0.9, include_containing=["aromatic", "halogen"] ) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_generalized_0,9_fraction_coverage_with_inclusion" assert len(pk.operators) == 377 assert len(pk.coreactants) == 45 def test_metacyc_intermediate(): rule_list, correactant_list, rule_name = metacyc_intermediate() pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_intermediate" assert len(pk.operators) == 7154 assert len(pk.coreactants) == 45 assert ( pk.operators["rule0001_0167"][1]["SMARTS"] == rule_assert_dict["Metacyc_intermediate_rule0001_0167"] ) def test_metacyc_intermediate_specify_number(): rule_list, correactant_list, rule_name = metacyc_intermediate(n_rules=20) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_intermediate_20_rules" assert len(pk.operators) == 20 assert len(pk.coreactants) == 45 def test_metacyc_intermediate_specify_fraction(): rule_list, correactant_list, rule_name = metacyc_intermediate(fraction_coverage=0.2) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_intermediate_0,2_fraction_coverage" assert len(pk.operators) == 75 assert len(pk.coreactants) == 45 def test_metacyc_intermediate_exclude(): rule_list, correactant_list, rule_name = metacyc_intermediate( fraction_coverage=0.9, exclude_containing=["aromatic", "halogen"] ) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_intermediate_0,9_fraction_coverage_with_exclusion" assert len(pk.operators) == 5775 assert len(pk.coreactants) == 45 def test_metacyc_intermediate_include(): rule_list, correactant_list, rule_name = metacyc_intermediate( fraction_coverage=0.9, include_containing=["halogen"] ) pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "Metacyc_intermediate_0,9_fraction_coverage_with_inclusion" assert len(pk.operators) == 67 assert len(pk.coreactants) == 45 def test_BNICE(): rule_list, correactant_list, rule_name = BNICE() pk = pickaxe.Pickaxe(rule_list=rule_list, coreactant_list=correactant_list) assert rule_name == "BNICE" assert len(pk.operators) == 250 assert len(pk.coreactants) == 33 assert pk.operators["1.1.1_01"][1]["SMARTS"] == rule_assert_dict["BNICE_1.1.1_01"]

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ai_workshops/None.py

AIDA-UIUC/ai_workshops

2b0750c422df73c801b76fc9910f872235a198e8

[ "Apache-2.0" ]

2

2020-11-07T18:58:42.000Z

2020-11-08T18:41:07.000Z

ai_workshops/None.py

AIDA-UIUC/ai_workshops

2b0750c422df73c801b76fc9910f872235a198e8

[ "Apache-2.0" ]

3

2020-11-13T13:40:10.000Z

2022-02-26T10:08:10.000Z

ai_workshops/None.py

AIDA-UIUC/ai_workshops

2b0750c422df73c801b76fc9910f872235a198e8

[ "Apache-2.0" ]

1

2021-01-24T05:59:41.000Z

# Cell import numpy as np # Cell from fastai.vision.all import * # Cell import numpy as np # Cell from fastai.vision.all import *

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Hi.py

ayoubbbu/ayoub

1c4534688f5bfa03bf670fb2aebb60662c17c23a

[ "Apache-2.0" ]

1

2021-08-02T19:23:52.000Z

Hi.py

ayoubbbu/ayoub

1c4534688f5bfa03bf670fb2aebb60662c17c23a

[ "Apache-2.0" ]

null

Hi.py

ayoubbbu/ayoub

1c4534688f5bfa03bf670fb2aebb60662c17c23a

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os, sys, time, datetime, random, hashlib, re, threading, json, getpass, urllib from multiprocessing.pool import ThreadPool #udah nyampe di sini ea ubah author ataupun ngerecode semoga emak bapaknya mati dalam keadaan mengenaskan #buat yg nyampe di sini cuman buat mempelajari pemrograman dan beberapa fungsinya ane ucapin selamat berjuang #tapi awaslu yg nge recode ataupun mengganti author try: import mechanize except ImportError: os.system('pip2 install mechanize') else: try: import requests except ImportError: os.system('pip2 install requests') def entertools(): os.system('sh babi_buat_yang_ngerecode_thanks.sh') def restart(): ngulang = sys.executable os.execl(ngulang, ngulang, *sys.argv) def wa(): os.system('xdg-open https://api.whatsapp.com/send?phone=62895704349609&text=Assalamualaikum') def menutools(): os.system ('clear') print ' ┏━╮╭━┓ \033[1;37m[\033[1;33m+\033[1;37m] TOOLS HACK ALL IN ONE\n \033[1;31m┃┏┗┛┓┃ \033[1;35m* \033[1;37mAuthor \033[1;31m: \033[1;36mMochammad Nopal Attasya\n \033[1;31m╰┓▋▋┏╯ \033[1;37mEmail \033[1;31m: \033[1;32mnopal7568@gmail.com\n\033[1;31m╭━┻╮╲┗━━━━╮╭╮ \033[1;37mYoutube\033[1;31m: \033[1;32mPAJAOQ\n\033[1;31m┃▎▎┃╲╲╲╲╲╲┣━╯ \033[1;35m* \033[1;33mTools Berisi 20 Tools Hacking.\n\033[1;31m╰━┳┻▅╯╲╲╲╲┃ \033[1;33mJauhi Larangan Yang Ada \033[1;37m^_^\n \033[1;31m ╰━┳┓┏┳┓┏╯ \033[1;35m+ \033[1;33mHargai Author Karena Memakai\n \033[1;31m┗┻┛┗┻┛ \033[1;33m Tidak Sesulit Membuat \033[1;37m:-D' loding2() print '\033[1;35m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;35m║ \033[1;37m NO\033[1;37m \033[1;35m║║ \033[1;37m{\033[1;32mDAFTAR TOOLS HACK LENGKAP\033[1;37m} \033[1;35m║║\033[0mSTATUS\033[1;35m║\n\033[1;35m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m01\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mDARK FACEBOOK\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m02\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mMULTI BRUTEFORCE FACEBOOK\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m03\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK INSTAGRAM \033[1;37m(\033[1;36mNO ROOT\033[1;37m)} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m}\033[1;31m ║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m04\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK MAIL MULTIBRUTEFORCE\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m05\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mVIRTEX WHATSAPP\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m06\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mDAFTAR WEBSITE VULN\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m07\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mSPAM SMS\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m}\033[1;31m ║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m08\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mCHAT ADMIN\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m}\033[1;31m ║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m09\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mJOIN C3L3N6 CYBER\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m}\033[1;31m ║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m10\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK WIFI \033[1;37m(\033[1;36mROOT\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m11\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK INSTAGRAM \033[1;37m(\033[1;36mROOT\033[1;37m)\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m12\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK PULSA\033[1;37m} \033[1;31m║║\033[1;37m{\033[1;31mCOID\033[1;37m}\033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m13\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK DIAMOND FREE FIRE\033[1;37m} \033[1;31m║║\033[1;37m{\033[1;33mMAIN\033[1;37m}\033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m14\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK UC PUBG\033[1;37m} \033[1;31m║║\033[1;37m{\033[1;33mMAIN\033[1;37m}\033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m15\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK CP CODM\033[1;37m} \033[1;31m║║\033[1;37m{\033[1;33mMAIN\033[1;37m}\033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m16\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mBUG HUNTERS\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m17\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mK-DORK\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m18\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mSEND VIRUS\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m19\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mSHORTNER LINKS\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m20\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mNUYUL APLIKASI CAPING\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m21\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mNUYUL APLIKASI FLASHGO\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m22\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK DIAMOND MLBB\033[1;37m} \033[1;31m║║\033[1;37m{\033[1;31mCOID\033[1;37m}\033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m22\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mHACK FACEBOOK TARGET\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;32mON\033[1;37m} \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m00\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;34mKELUAR PROGRAM\033[1;37m} \033[1;31m║║ \033[1;31mEXIT \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝\n\033[1;31m╔══════╗╔═════════════════════════════╗╔══════╗\n\033[1;31m║ \033[1;37m{\033[1;32m++\033[1;37m} \033[1;31m║║ \033[1;37m{\033[1;34mSUBCRIBE PAJAOQ\033[1;37m} \033[1;31m║║ \033[1;37mSUBS \033[1;31m║\n\033[1;31m╚══════╝╚═════════════════════════════╝╚══════╝' def ressture(): os.system('clear') print '\x1b[1;33m╔╦══════════════════════════════════╗\n║║ Sudah punya ID dan Password nya? ║\n╚╣╔═════════════════════════════════╝\n╔╝╚═════════════════════╗' print '\x1b[1;33m║LOGIN UNTUK MELANJUTKAN║\n╠═══════════════════════╝' user = raw_input('║ID : ') import getpass sandi = raw_input('║PW : ') if sandi == 'channel pajaoq' and user == 'subscribe': print '║LOGIN SUKSES\n╚═══════\x1b[1;91m▶' sys.exit else: print 'Login GAGAL, Silahkan hubungi ADMIN' wa() ressture() def tik(): titik = [ ' ', '. ', '.. ', '...', '.. ', '. ', ' '] for o in titik: print '\r\x1b[1;91m [\xe2\x97\x8f] \x1b[1;92mLoading \x1b[1;97m' + o, sys.stdout.flush() time.sleep(0.7) def loding2(): looding2 = [ '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[/]', '[-]', '[\]', '[|]', '[\033[1;32m✓\033[0m]\n'] for o in looding2: print '\r\x1b[1;91m[\xe2\x97\x8f] \x1b[1;92mCheck \x1b[1;97m' + o, sys.stdout.flush() time.sleep(0.1) def lodhirt(): lodhirt = [ 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ', ' ', 'PAJAOQ\n'] for o in lodhirt: print '\r\x1b[1;97m╔[\x1b[1;32m+\x1b[1;97m] \x1b[1;92mSUBSCRIBE CHANNEL \x1b[1;96m' + o, sys.stdout.flush() time.sleep(0.1) os.system('clear') logoname = '\033[1;32m ____________\n\033[1;32m ║▒▒▒▒▒▒▒▒▒▒║\n\033[1;32m ║▒▒▒▒▒▒▒▒▒▒║\n\033[1;32m ║▒▒▒▒▒▒▒▒▒▒║\033[1;33m ╔╗╔╔═╗╔╦╗╔═╗\n\033[1;32m ╔════════════╗\033[1;33m ║║║╠═╣║║║╠═╣\n\033[1;32m ╚════════════╝\033[1;33m ╝╚╝╩ ╩╩ ╩╩ ╩\n\033[1;31m ║\033[1;36m██████████\033[1;31m╚╗\033[1;33m ╦╔═╔═╗╔╦╗╦ ╦\n\033[1;31m ║\033[1;36m██\033[1;31m╔══╗\033[1;36m█\033[1;31m╔═╗\033[1;36m█\033[1;31m║\033[1;33m ╠╩╗╠═╣║║║║ ║\n\033[1;31m ║\033[1;36m██\033[1;31m║\033[1;33m╬\033[1;31m╔╝\033[1;36m█\033[1;31m╚╗║\033[1;36m█\033[1;31m║\033[1;33m ╩ ╩╩ ╩╩ ╩╚═╝\n\033[1;31m ║\033[1;36m██\033[1;31m╚═╝\033[1;36m█\033[1;31m║\033[1;36m█\033[1;31m╚╝\033[1;36m█\033[1;31m║\033[0m Subscribe\n\033[1;31m ╚╗\033[1;36m█████████\033[1;31m═╝ \033[0mChannel\n\033[1;31m ╚╗║╠╩╩╩╩╩╝ \033[0mPAJAOQ\n\033[1;31m ║║╚╗\033[1;33m┈\033[1;34m█▐█████\033[1;31m▒\033[0m.｡oO\n\033[1;31m ║\033[1;36m██\033[1;31m╠╦╦╦╗\n\033[1;31m ╚╗\033[1;36m██████ \033[0mAuthor \033[1;31m: \033[1;32mNovalAttasya\n\033[1;31m ╚════╝ \033[0mTeam \033[1;31m: \033[1;32mC3L3N6 CYBER BORNEO\n \033[1;33m<══════════════════════════════════>\n\033[1;31m' print logoname enternamek = raw_input("\033[1;31m[*] \033[1;32mMASUKAN NAMA KAMU: \033[1;36m") os.system('clear') print 32 * '\x1b[1;97m\xe2\x95\x90' print '\033[1;33m █░░░█ █▀▀ █░░ ▄▀ ▄▀▄ █▄░▄█ █▀▀\n █░█░█ █▀▀ █░▄ █░ █░█ █░█░█ █▀▀\n ░▀░▀░ ▀▀▀ ▀▀▀ ░▀ ░▀░ ▀░░░▀ ▀▀▀' print ' \033[1;31m[*] \033[1;37mHi \033[1;36m' + enternamek print 32 * '\x1b[1;97m\xe2\x95\x90' lodhirt() print '\033[1;37m║' print '\033[1;37m╠\033[1;37m[\033[1;31m*\033[1;37m] \033[1;32mPILIH MENUNYA \033[1;37m[\033[1;31m*\033[1;37m]' print '║\033[1;37m{\033[1;33m1\033[1;37m} \033[1;34mLogin Toolnya\033[1;37m' print '║\033[1;37m{\033[1;33m2\033[1;37m} \033[1;34mHubungi Author \033[0m(\033[1;32mWhatsApp\033[1;37m)' print '║\033[1;37m{\033[1;33m3\033[1;37m} \033[1;34mInstall Bahan\033[1;37m' print '║\033[1;37m{\033[1;33m4\033[1;37m} \033[1;34mDownload User & Pass\033[1;37m' print '║\033[1;37m{\033[1;31m0\033[1;37m} \033[1;31mExit.' pilih = input("\033[1;37m╚═\x1b[1;91m▶\x1b[1;97m ") if pilih == 1: tik() entertools() elif pilih == 2: tik() wa() print '\n\033[1;37mTerimakasih Telah Menggunakan Tools Ini ^_^' elif pilih == 3: tik() os.system ('bash babi_lu.sh') elif pilih == 4: os.system('xdg-open https://adsafelink.com/9RRWZ') elif pilih == 0: os.system('clear') print '\033[1;37mTerimakasih Telah Menggunakan Tools Ini ^_^' os.system('exit')

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0

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13,604

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0

10

80b7bf86edb14b13eb70c71f15593037a7821256

155

py

Python

app/app/attribute_authority/__init__.py

MartinHeinz/IoT-Cloud

2e6fddcfe2624862c9351759334a6655a896e8c7

[ "MIT" ]

14

2019-11-17T23:49:20.000Z

2022-02-04T23:28:45.000Z

app/app/attribute_authority/__init__.py

MartinHeinz/IoT-Cloud

2e6fddcfe2624862c9351759334a6655a896e8c7

[ "MIT" ]

3

2019-12-02T18:26:11.000Z

2021-04-30T20:46:06.000Z

app/app/attribute_authority/__init__.py

MartinHeinz/IoT-Cloud

2e6fddcfe2624862c9351759334a6655a896e8c7

[ "MIT" ]

4

2018-12-28T13:41:44.000Z

2020-09-13T14:14:06.000Z

from flask import Blueprint attr_authority = Blueprint('attr_authority', __name__) from . import endpoints # noqa pylint: disable=wrong-import-position

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null

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7

038072e6d165501c3f41952980e6aa1a190869b6

183

py

Python

commands.py

zhuitrec/django-arcutils

4079ef641f43baab4cda4681b1f76e320f12eb38

[ "MIT" ]

null

commands.py

zhuitrec/django-arcutils

4079ef641f43baab4cda4681b1f76e320f12eb38

[ "MIT" ]

null

commands.py

zhuitrec/django-arcutils

4079ef641f43baab4cda4681b1f76e320f12eb38

[ "MIT" ]

null

from runcommands.commands import show_config from arctasks.base import lint # noqa from arctasks.python import show_upgraded_packages # noqa from arctasks.release import * # noqa

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1

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1

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7

038141cb5f435176678b67ddd5dd5e5195a03175

2,681

py

Python

Moves/Fever.py

johan--/PoMoCo_RobCook

0ca95286b0f21803ed3a33cbad6d11fce4d7172a

[ "MIT", "Unlicense" ]

10

2015-07-14T05:23:56.000Z

2021-08-07T16:46:42.000Z

Moves/Fever.py

rpcook/PoMoCo

08f5170006bafabc2d70d5a681b62f7448afdbd2

[ "Unlicense", "MIT" ]

6

2015-05-02T23:10:38.000Z

2015-05-02T23:15:39.000Z

Moves/Fever.py

rpcook/PoMoCo

08f5170006bafabc2d70d5a681b62f7448afdbd2

[ "Unlicense", "MIT" ]

10

2015-05-19T06:27:49.000Z

2021-08-08T04:13:04.000Z

import time # Move: Night Fever Dance # Get the front legs into space @ front hexy.LF.replantFoot(-40,stepTime=0.3) time.sleep(0.4) hexy.RF.replantFoot(40,stepTime=0.3) time.sleep(0.4) # move the mid-legs forwards to support body hexy.LM.replantFoot(-40,stepTime=0.3) time.sleep(0.4) hexy.RM.replantFoot(40,stepTime=0.3) time.sleep(0.4) # lean back a bit hexy.RB.setFootY(floor-20) hexy.LB.setFootY(floor-20) hexy.LF.setFootY(floor+60) time.sleep(0.5) # wave right arm about (up and right) hexy.RF.knee(-60) hexy.RF.ankle(0) hexy.RF.hip(0) hexy.neck.set(-40) # dip body hexy.LF.setFootY(floor+62) hexy.LM.setFootY(floor-8) hexy.LB.setFootY(floor-28) hexy.RM.setFootY(floor-8) hexy.RB.setFootY(floor-28) # wait a bit time.sleep(0.4) # right arm down hexy.RF.knee(50) hexy.RF.ankle(-50) hexy.RF.hip(70) hexy.neck.set(30) # raise body hexy.LF.setFootY(floor+70) hexy.LM.setFootY(floor) hexy.LB.setFootY(floor-20) hexy.RM.setFootY(floor) hexy.RB.setFootY(floor-20) # wait a bit time.sleep(0.4) # wave right arm about (up and right) hexy.RF.knee(-60) hexy.RF.ankle(0) hexy.RF.hip(0) hexy.neck.set(-40) # dip body hexy.LF.setFootY(floor+62) hexy.LM.setFootY(floor-8) hexy.LB.setFootY(floor-28) hexy.RM.setFootY(floor-8) hexy.RB.setFootY(floor-28) # wait a bit time.sleep(0.4) # right arm down hexy.RF.knee(50) hexy.RF.ankle(-50) hexy.RF.hip(70) hexy.neck.set(30) # raise body hexy.LF.setFootY(floor+70) hexy.LM.setFootY(floor) hexy.LB.setFootY(floor-20) hexy.RM.setFootY(floor) hexy.RB.setFootY(floor-20) # wait a bit time.sleep(0.4) # wave right arm about (up and right) hexy.RF.knee(-60) hexy.RF.ankle(0) hexy.RF.hip(0) hexy.neck.set(-40) # dip body hexy.LF.setFootY(floor+62) hexy.LM.setFootY(floor-8) hexy.LB.setFootY(floor-28) hexy.RM.setFootY(floor-8) hexy.RB.setFootY(floor-28) # wait a bit time.sleep(0.4) # right arm down hexy.RF.knee(50) hexy.RF.ankle(-50) hexy.RF.hip(70) hexy.neck.set(30) # raise body hexy.LF.setFootY(floor+70) hexy.LM.setFootY(floor) hexy.LB.setFootY(floor-20) hexy.RM.setFootY(floor) hexy.RB.setFootY(floor-20) # wait a bit time.sleep(0.4) # wave right arm about (up and right) hexy.RF.knee(-60) hexy.RF.ankle(0) hexy.RF.hip(0) hexy.neck.set(-40) # dip body hexy.LF.setFootY(floor+62) hexy.LM.setFootY(floor-8) hexy.LB.setFootY(floor-28) hexy.RM.setFootY(floor-8) hexy.RB.setFootY(floor-28) # wait a bit time.sleep(0.4) # right arm down hexy.RF.knee(50) hexy.RF.ankle(-50) hexy.RF.hip(70) hexy.neck.set(30) # raise body hexy.LF.setFootY(floor+70) hexy.LM.setFootY(floor) hexy.LB.setFootY(floor-20) hexy.RM.setFootY(floor) hexy.RB.setFootY(floor-20) # wait a bit time.sleep(0.4) # TODO: jiggle hips (requires some new inverse kinematics)

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2,681

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1

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1

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null

0

1

0

9

03a249f8e02078209ce2cc0bf9b95fc6a4d1cba6

52,652

py

Python

Incident-Response/Tools/dfirtrack/dfirtrack_main/tests/task/test_task_views.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

1

2021-07-24T17:22:50.000Z

Incident-Response/Tools/dfirtrack/dfirtrack_main/tests/task/test_task_views.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-28T03:40:31.000Z

2022-02-28T03:40:52.000Z

Incident-Response/Tools/dfirtrack/dfirtrack_main/tests/task/test_task_views.py

sn0b4ll/Incident-Playbook

cf519f58fcd4255674662b3620ea97c1091c1efb

[ "MIT" ]

2

2022-02-25T08:34:51.000Z

2022-03-16T17:29:44.000Z

from datetime import datetime from django.contrib.auth.models import User from django.test import TestCase from django.utils import timezone from dfirtrack_main.models import System, Systemstatus, Task, Taskname, Taskpriority, Taskstatus from mock import patch import urllib.parse class TaskViewTestCase(TestCase): """ task view tests """ @classmethod def setUpTestData(cls): # create user test_user = User.objects.create_user(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create object systemstatus_1 = Systemstatus.objects.create(systemstatus_name='systemstatus_1') # create object System.objects.create( system_name='system_1', systemstatus = systemstatus_1, system_modify_time = timezone.now(), system_created_by_user_id = test_user, system_modified_by_user_id = test_user, ) # create object taskname_1 = Taskname.objects.create(taskname_name='taskname_1') # create object taskpriority_1 = Taskpriority.objects.create(taskpriority_name='prio_1') # create object taskstatus_1 = Taskstatus.objects.create(taskstatus_name='taskstatus_1') # create object Task.objects.create( taskname = taskname_1, taskpriority = taskpriority_1, taskstatus = taskstatus_1, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) def test_task_list_not_logged_in(self): """ test list view """ # create url destination = '/login/?next=' + urllib.parse.quote('/task/', safe='') # get response response = self.client.get('/task/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_list_logged_in(self): """ test list view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/') # compare self.assertEqual(response.status_code, 200) def test_task_list_template(self): """ test list view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_list.html') def test_task_list_get_user_context(self): """ test list view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_list_redirect(self): """ test list view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/', safe='/') # get response response = self.client.get('/task', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_closed_not_logged_in(self): """ test closed view """ # create url destination = '/login/?next=' + urllib.parse.quote('/task/closed/', safe='') # get response response = self.client.get('/task/closed/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_closed_logged_in(self): """ test closed view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/closed/') # compare self.assertEqual(response.status_code, 200) def test_task_closed_template(self): """ test closed view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/closed/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_closed.html') def test_task_closed_get_user_context(self): """ test closed view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/closed/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_closed_redirect(self): """ test closed view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/closed/', safe='/') # get response response = self.client.get('/task/closed', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_all_not_logged_in(self): """ test all view """ # create url destination = '/login/?next=' + urllib.parse.quote('/task/all/', safe='') # get response response = self.client.get('/task/all/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_all_logged_in(self): """ test all view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/all/') # compare self.assertEqual(response.status_code, 200) def test_task_all_template(self): """ test all view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/all/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_all.html') def test_task_all_get_user_context(self): """ test all view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/all/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_all_redirect(self): """ test all view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/all/', safe='/') # get response response = self.client.get('/task/all', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_detail_not_logged_in(self): """ test detail view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = '/login/?next=' + urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_detail_logged_in(self): """ test detail view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/') # compare self.assertEqual(response.status_code, 200) def test_task_detail_template(self): """ test detail view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_detail.html') def test_task_detail_get_user_context(self): """ test detail view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_detail_redirect(self): """ test detail view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id), follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_add_not_logged_in(self): """ test add view """ # create url destination = '/login/?next=' + urllib.parse.quote('/task/add/', safe='') # get response response = self.client.get('/task/add/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_add_logged_in(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/add/') # compare self.assertEqual(response.status_code, 200) def test_task_add_system_selected(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get response response = self.client.get('/task/add/?system=' + str(system_id)) # compare self.assertEqual(response.status_code, 200) def test_task_add_template(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/add/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_add.html') def test_task_add_get_user_context(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/add/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_add_redirect(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/add/', safe='/') # get response response = self.client.get('/task/add', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_add_post_redirect(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user_id = User.objects.get(username = 'testuser_task').id # get object taskname_id = Taskname.objects.create(taskname_name = 'task_add_post_test').taskname_id # get object taskpriority_id = Taskpriority.objects.get(taskpriority_name = 'prio_1').taskpriority_id # get object taskstatus_id = Taskstatus.objects.get(taskstatus_name = 'taskstatus_1').taskstatus_id # get post data data_dict = { 'taskname': taskname_id, 'taskpriority': taskpriority_id, 'taskstatus': taskstatus_id, 'task_created_by_user_id': test_user_id, 'task_modified_by_user_id': test_user_id, } # get response response = self.client.post('/task/add/', data_dict) # get object taskname = Taskname.objects.get(taskname_name = 'task_add_post_test') # get object task_id = Task.objects.get(taskname = taskname).task_id # create url destination = urllib.parse.quote('/task/' + str(task_id) + '/', safe='/') # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_add_post_system_selected_redirect(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get user test_user_id = User.objects.get(username = 'testuser_task').id # get object taskname_id = Taskname.objects.create(taskname_name = 'task_add_post_test').taskname_id # get object taskpriority_id = Taskpriority.objects.get(taskpriority_name = 'prio_1').taskpriority_id # get object taskstatus_id = Taskstatus.objects.get(taskstatus_name = 'taskstatus_1').taskstatus_id # get post data data_dict = { 'taskname': taskname_id, 'taskpriority': taskpriority_id, 'taskstatus': taskstatus_id, 'task_created_by_user_id': test_user_id, 'task_modified_by_user_id': test_user_id, } # get response response = self.client.post('/task/add/?system=' + str(system_id), data_dict) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_add_post_invalid_reload(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create post data data_dict = {} # get response response = self.client.post('/task/add/', data_dict) # compare self.assertEqual(response.status_code, 200) def test_task_add_post_invalid_template(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create post data data_dict = {} # get response response = self.client.post('/task/add/', data_dict) # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_add.html') def test_task_add_times_pending(self): """ test add view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user_id = User.objects.get(username = 'testuser_task').id # get object taskname_id = Taskname.objects.create(taskname_name = 'task_add_times_pending').taskname_id # get object taskpriority_id = Taskpriority.objects.get(taskpriority_name = 'prio_1').taskpriority_id # get object taskstatus_id = Taskstatus.objects.get(taskstatus_name = '10_pending').taskstatus_id # get post data data_dict = { 'taskname': taskname_id, 'taskpriority': taskpriority_id, 'taskstatus': taskstatus_id, 'task_created_by_user_id': test_user_id, 'task_modified_by_user_id': test_user_id, } # get response self.client.post('/task/add/', data_dict) # get object taskname = Taskname.objects.get(taskname_name = 'task_add_times_pending') # get object task_add_times_pending = Task.objects.get(taskname = taskname) # compare self.assertEqual(task_add_times_pending.task_started_time, None) self.assertEqual(task_add_times_pending.task_finished_time, None) def test_task_add_times_working(self): """ test add view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user_id = User.objects.get(username = 'testuser_task').id # get object taskname_id = Taskname.objects.create(taskname_name = 'task_add_times_working').taskname_id # get object taskpriority_id = Taskpriority.objects.get(taskpriority_name = 'prio_1').taskpriority_id # get object taskstatus_id = Taskstatus.objects.get(taskstatus_name = '20_working').taskstatus_id # get post data data_dict = { 'taskname': taskname_id, 'taskpriority': taskpriority_id, 'taskstatus': taskstatus_id, 'task_created_by_user_id': test_user_id, 'task_modified_by_user_id': test_user_id, } # get response self.client.post('/task/add/', data_dict) # get object taskname = Taskname.objects.get(taskname_name = 'task_add_times_working') # get object task_add_times_working = Task.objects.get(taskname = taskname) # compare self.assertEqual(task_add_times_working.task_started_time, timezone.now()) self.assertEqual(task_add_times_working.task_finished_time, None) def test_task_add_times_done(self): """ test add view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user_id = User.objects.get(username = 'testuser_task').id # get object taskname_id = Taskname.objects.create(taskname_name = 'task_add_times_done').taskname_id # get object taskpriority_id = Taskpriority.objects.get(taskpriority_name = 'prio_1').taskpriority_id # get object taskstatus_id = Taskstatus.objects.get(taskstatus_name = '30_done').taskstatus_id # get post data data_dict = { 'taskname': taskname_id, 'taskpriority': taskpriority_id, 'taskstatus': taskstatus_id, 'task_created_by_user_id': test_user_id, 'task_modified_by_user_id': test_user_id, } # get response self.client.post('/task/add/', data_dict) # get object taskname = Taskname.objects.get(taskname_name = 'task_add_times_done') # get object task_add_times_done = Task.objects.get(taskname = taskname) # compare self.assertEqual(task_add_times_done.task_started_time, timezone.now()) self.assertEqual(task_add_times_done.task_finished_time, timezone.now()) def test_task_edit_not_logged_in(self): """ test edit view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = '/login/?next=' + urllib.parse.quote('/task/' + str(task_1.task_id) + '/edit/', safe='') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/edit/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_edit_logged_in(self): """ test edit view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/edit/') # compare self.assertEqual(response.status_code, 200) def test_task_edit_template(self): """ test edit view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/edit/') # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_edit.html') def test_task_edit_get_user_context(self): """ test edit view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/edit/') # compare self.assertEqual(str(response.context['user']), 'testuser_task') def test_task_edit_redirect(self): """ test edit view """ # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/edit/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/edit', follow=True) # compare self.assertRedirects(response, destination, status_code=301, target_status_code=200) def test_task_edit_post_redirect(self): """ test edit view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # get object taskname_1 = Taskname.objects.create(taskname_name = 'task_edit_post_test_1') # get object taskname_2 = Taskname.objects.create(taskname_name = 'task_edit_post_test_2') # get object taskpriority = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus = Taskstatus.objects.get(taskstatus_name = 'taskstatus_1') # create object task_1 = Task.objects.create( taskname = taskname_1, taskpriority = taskpriority, taskstatus = taskstatus, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # create post data data_dict = { 'taskname': taskname_2.taskname_id, 'taskpriority': taskpriority.taskpriority_id, 'taskstatus': taskstatus.taskstatus_id, 'task_modified_by_user_id': test_user.id, } # get response response = self.client.post('/task/' + str(task_1.task_id) + '/edit/', data_dict) # get object task_2 = Task.objects.get(taskname = taskname_2) # create url destination = urllib.parse.quote('/task/' + str(task_2.task_id) + '/', safe='/') # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_edit_post_system_selected_redirect(self): """ test edit view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get user test_user = User.objects.get(username = 'testuser_task') # get object taskname_1 = Taskname.objects.create(taskname_name = 'task_edit_post_test_1') # get object taskname_2 = Taskname.objects.create(taskname_name = 'task_edit_post_test_2') # get object taskpriority = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus = Taskstatus.objects.get(taskstatus_name = 'taskstatus_1') # create object task_1 = Task.objects.create( taskname = taskname_1, taskpriority = taskpriority, taskstatus = taskstatus, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # create post data data_dict = { 'taskname': taskname_2.taskname_id, 'taskpriority': taskpriority.taskpriority_id, 'taskstatus': taskstatus.taskstatus_id, 'task_modified_by_user_id': test_user.id, } # get response response = self.client.post('/task/' + str(task_1.task_id) + '/edit/?system=' + str(system_id), data_dict) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_edit_post_invalid_reload(self): """ test edit view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name = 'taskname_1') # get object task_id = Task.objects.get(taskname = taskname_1).task_id # create post data data_dict = {} # get response response = self.client.post('/task/' + str(task_id) + '/edit/', data_dict) # compare self.assertEqual(response.status_code, 200) def test_task_edit_post_invalid_template(self): """ test edit view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name = 'taskname_1') # get object task_id = Task.objects.get(taskname = taskname_1).task_id # create post data data_dict = {} # get response response = self.client.post('/task/' + str(task_id) + '/edit/', data_dict) # compare self.assertTemplateUsed(response, 'dfirtrack_main/task/task_edit.html') def test_task_edit_times_pending(self): """ test edit view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # get object taskname_1 = Taskname.objects.create(taskname_name = 'task_edit_times_pending') # get object taskpriority = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # create object task_1 = Task.objects.create( taskname = taskname_1, taskpriority = taskpriority, taskstatus = taskstatus_done, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, task_started_time = timezone.now(), task_finished_time = timezone.now(), ) # create post data data_dict = { 'taskname': taskname_1.taskname_id, 'taskpriority': taskpriority.taskpriority_id, 'taskstatus': taskstatus_pending.taskstatus_id, 'task_modified_by_user_id': test_user.id, } # get response self.client.post('/task/' + str(task_1.task_id) + '/edit/', data_dict) # refresh object task_1.refresh_from_db() # compare self.assertEqual(task_1.task_started_time, None) self.assertEqual(task_1.task_finished_time, None) def test_task_edit_times_working(self): """ test edit view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # get object taskname_1 = Taskname.objects.create(taskname_name = 'task_edit_times_working') # get object taskpriority = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_working = Taskstatus.objects.get(taskstatus_name = '20_working') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_1 = Task.objects.create( taskname = taskname_1, taskpriority = taskpriority, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # create post data data_dict = { 'taskname': taskname_1.taskname_id, 'taskpriority': taskpriority.taskpriority_id, 'taskstatus': taskstatus_working.taskstatus_id, 'task_modified_by_user_id': test_user.id, } # get response self.client.post('/task/' + str(task_1.task_id) + '/edit/', data_dict) # refresh object task_1.refresh_from_db() # compare self.assertEqual(task_1.task_started_time, timezone.now()) self.assertEqual(task_1.task_finished_time, None) def test_task_edit_times_done(self): """ test edit view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # get object taskname_1 = Taskname.objects.create(taskname_name = 'task_edit_times_done') # get object taskpriority = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_1 = Task.objects.create( taskname = taskname_1, taskpriority = taskpriority, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # create post data data_dict = { 'taskname': taskname_1.taskname_id, 'taskpriority': taskpriority.taskpriority_id, 'taskstatus': taskstatus_done.taskstatus_id, 'task_modified_by_user_id': test_user.id, } # get response self.client.post('/task/' + str(task_1.task_id) + '/edit/', data_dict) # refresh object task_1.refresh_from_db() # compare self.assertEqual(task_1.task_started_time, timezone.now()) self.assertEqual(task_1.task_started_time, timezone.now()) def test_task_start_redirect(self): """ test task start view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/start/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_start_system_selected(self): """ test task start view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/start/?system=' + str(system_id)) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_start_status(self): """ test task start view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_start = Taskname.objects.create(taskname_name = 'task_start') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_start = Task.objects.create( taskname = taskname_task_start, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_start.task_id) + '/start/') # get object task_started = Task.objects.get(task_id = task_task_start.task_id) # get object taskstatus_working = Taskstatus.objects.get(taskstatus_name = '20_working') # compare self.assertEqual(taskstatus_working, task_started.taskstatus) def test_task_start_times(self): """ test task start view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_start = Taskname.objects.create(taskname_name = 'task_start') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_start = Task.objects.create( taskname = taskname_task_start, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_start.task_id) + '/start/') # get object task_started = Task.objects.get(task_id = task_task_start.task_id) # compare self.assertEqual(task_started.task_started_time, timezone.now()) self.assertEqual(task_started.task_finished_time, None) def test_task_finish_redirect(self): """ test task finish view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/finish/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_finish_system_selected(self): """ test task finish view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/finish/?system=' + str(system_id)) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_finish_status(self): """ test task finish view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_finish = Taskname.objects.create(taskname_name = 'task_finish') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_finish = Task.objects.create( taskname = taskname_task_finish, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_finish.task_id) + '/finish/') # get object task_finished = Task.objects.get(task_id = task_task_finish.task_id) # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # compare self.assertEqual(taskstatus_done, task_finished.taskstatus) def test_task_finish_times(self): """ test task finish view """ # mock timezone.now() dt = datetime(2020, 1, 2, tzinfo=timezone.utc) with patch.object(timezone, 'now', return_value=dt): # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_finish = Taskname.objects.create(taskname_name = 'task_finish') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_finish = Task.objects.create( taskname = taskname_task_finish, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_finish.task_id) + '/finish/') # get object task_finished = Task.objects.get(task_id = task_task_finish.task_id) # compare self.assertEqual(task_finished.task_started_time, timezone.now()) self.assertEqual(task_finished.task_finished_time, timezone.now()) def test_task_renew_redirect(self): """ test task renew view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/renew/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_renew_system_selected(self): """ test task renew view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/renew/?system=' + str(system_id)) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_renew_status(self): """ test task renew view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_renew = Taskname.objects.create(taskname_name = 'task_renew') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # create object task_task_renew = Task.objects.create( taskname = taskname_task_renew, taskpriority = taskpriority_1, taskstatus = taskstatus_done, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_renew.task_id) + '/renew/') # get object task_renewed = Task.objects.get(task_id = task_task_renew.task_id) # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # compare self.assertEqual(taskstatus_pending, task_renewed.taskstatus) def test_task_renew_user(self): """ test task renew view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_renew = Taskname.objects.create(taskname_name = 'task_renew') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # create object task_task_renew = Task.objects.create( taskname = taskname_task_renew, taskpriority = taskpriority_1, taskstatus = taskstatus_done, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, task_assigned_to_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_renew.task_id) + '/renew/') # get object task_renewed = Task.objects.get(task_id = task_task_renew.task_id) # compare self.assertEqual(None, task_renewed.task_assigned_to_user_id) def test_task_renew_times(self): """ test task renew view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_renew = Taskname.objects.create(taskname_name = 'task_renew') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_done = Taskstatus.objects.get(taskstatus_name = '30_done') # create object task_task_renew = Task.objects.create( taskname = taskname_task_renew, taskpriority = taskpriority_1, taskstatus = taskstatus_done, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, task_started_time = timezone.now(), ) # get response self.client.get('/task/' + str(task_task_renew.task_id) + '/renew/') # get object task_renewed = Task.objects.get(task_id = task_task_renew.task_id) # compare self.assertEqual(task_renewed.task_started_time, None) self.assertEqual(task_renewed.task_finished_time, None) def test_task_set_user_redirect(self): """ test task set_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/set_user/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_set_user_system_selected(self): """ test task set_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/set_user/?system=' + str(system_id)) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_set_user_user(self): """ test task set_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_set_user = Taskname.objects.create(taskname_name = 'task_set_user') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_set_user = Task.objects.create( taskname = taskname_task_set_user, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_set_user.task_id) + '/set_user/') # get object task_set_user = Task.objects.get(task_id = task_task_set_user.task_id) # compare self.assertEqual(test_user, task_set_user.task_assigned_to_user_id) def test_task_unset_user_redirect(self): """ test task unset_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/task/' + str(task_1.task_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/unset_user/', follow=True) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_unset_user_system_selected(self): """ test task unset_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get object system_id = System.objects.get(system_name = 'system_1').system_id # get object taskname_1 = Taskname.objects.get(taskname_name='taskname_1') # get object task_1 = Task.objects.get(taskname=taskname_1) # create url destination = urllib.parse.quote('/system/' + str(system_id) + '/', safe='/') # get response response = self.client.get('/task/' + str(task_1.task_id) + '/unset_user/?system=' + str(system_id)) # compare self.assertRedirects(response, destination, status_code=302, target_status_code=200) def test_task_unset_user_user(self): """ test task unset_user view """ # login testuser self.client.login(username='testuser_task', password='8dR7ilC8cnCr8U2aq14V') # get user test_user = User.objects.get(username = 'testuser_task') # create object taskname_task_unset_user = Taskname.objects.create(taskname_name = 'task_unset_user') # get object taskpriority_1 = Taskpriority.objects.get(taskpriority_name = 'prio_1') # get object taskstatus_pending = Taskstatus.objects.get(taskstatus_name = '10_pending') # create object task_task_unset_user = Task.objects.create( taskname = taskname_task_unset_user, taskpriority = taskpriority_1, taskstatus = taskstatus_pending, task_created_by_user_id = test_user, task_modified_by_user_id = test_user, task_assigned_to_user_id = test_user, ) # get response self.client.get('/task/' + str(task_task_unset_user.task_id) + '/unset_user/') # get object task_unset_user = Task.objects.get(task_id = task_task_unset_user.task_id) # compare self.assertEqual(None, task_unset_user.task_assigned_to_user_id)

41.3281

114

0.631087

5,912

52,652

5.351827

0.020129

0.042035

0.049305

0.052212

0.95866

0.941182

0.926296

0.91024

0.889633

0.880689

0

0.023025

0.262554

52,652

1,273

115

41.360566

0.791851

0.114867

0

0.683969

0

0.119422

0.01847

0

0.11145

1

0.099237

false

0.090076

0.010687

0

0.11145

0

null

0

1

0

null

0

1

0

7

03e88ffcafd6342bee9f1caa48719a2fca701701

50

py

Python

level0/question85.py

kevin00000000/Python-programming-exercises

87546906d817263ae7ddbd0276f0bb36e0d63c41

[ "MIT" ]

null

level0/question85.py

kevin00000000/Python-programming-exercises

87546906d817263ae7ddbd0276f0bb36e0d63c41

[ "MIT" ]

null

level0/question85.py

kevin00000000/Python-programming-exercises

87546906d817263ae7ddbd0276f0bb36e0d63c41

[ "MIT" ]

null

print([x for x in [5,6,77,45,22,12,24] if x%2!=0])

50

0.58

16

50

1.8125

0.875

0

0.318182

0.12

50

1

50

0.340909

0

1

0

true

0

1

0

1

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

03f25358349a17779501c9c6fde9408aca823fd1

62,406

py

Python

tests/mocks/examples_ttl.py

Informasjonsforvaltning/fdk-model-publisher

f9f2434436fbbc4e66a9747d8fb2b7f07bb76533

[ "Apache-2.0" ]

null

tests/mocks/examples_ttl.py

Informasjonsforvaltning/fdk-model-publisher

f9f2434436fbbc4e66a9747d8fb2b7f07bb76533

[ "Apache-2.0" ]

34

2020-10-21T05:54:34.000Z

2022-02-04T12:47:55.000Z

tests/mocks/examples_ttl.py

Informasjonsforvaltning/fdk-model-publisher

f9f2434436fbbc4e66a9747d8fb2b7f07bb76533

[ "Apache-2.0" ]

null

"""Example TTL output.""" # flake8: noqa ex_1_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom> a modelldcatno:ObjectType ; dct:title "Eiendom"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstatter>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstattetav>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#id>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#nummer>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstatter> a modelldcatno:Attribute ; dct:title "erstatter"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstattetav> a modelldcatno:Attribute ; dct:title "erstattetav"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#id> a modelldcatno:Attribute ; dct:title "id"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#nummer> a modelldcatno:Attribute ; dct:title "nummer"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#type> a modelldcatno:Attribute ; dct:title "type"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . """ ex_2_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#EiendomResultat> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#EiendomResultat> a modelldcatno:ObjectType ; dct:title "EiendomResultat"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#code>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#data>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#message> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#int32> a modelldcatno:SimpleType ; dct:title "int32"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#integerschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstatter> a modelldcatno:Attribute ; dct:title "erstatter"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstattetav> a modelldcatno:Attribute ; dct:title "erstattetav"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#id> a modelldcatno:Attribute ; dct:title "id"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#nummer> a modelldcatno:Attribute ; dct:title "nummer"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#type> a modelldcatno:Attribute ; dct:title "type"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#code> a modelldcatno:Attribute ; dct:title "code"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#int32> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#data> a modelldcatno:Role ; dct:title "data"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/EiendomResultat#message> a modelldcatno:Attribute ; dct:title "message"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom> a modelldcatno:ObjectType ; dct:title "Eiendom"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstatter>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstattetav>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#id>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#nummer>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . """ ex_3_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Kommune>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#SÃ¸k> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#SÃ¸k> a modelldcatno:ObjectType ; 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dct:title "Kommune"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#fylke>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#gyldigtil>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#id>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#navn>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . 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dct:title "type"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat#code> a modelldcatno:Attribute ; dct:title "code"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#int32> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat#data> a modelldcatno:Composition ; dct:title "data"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:contains <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data#data> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat#message> a modelldcatno:Attribute ; dct:title "message"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data#data> a modelldcatno:ObjectType ; dct:title "data"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#erstatter>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#erstattetav>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#kommune> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#erstatter> a modelldcatno:Role ; dct:title "erstatter"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Kommune> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#erstattetav> a modelldcatno:Role ; dct:title "erstattetav"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data/erstattetav#erstattetav> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data#kommune> a modelldcatno:Role ; dct:title "kommune"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Kommune> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data/erstattetav#erstattetav> a modelldcatno:ObjectType ; dct:title "erstattetav"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data/erstattetav/erstattetav#id> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/KommuneResultat/data/data/erstattetav/erstattetav#id> a modelldcatno:Attribute ; dct:title "id"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#integer> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Søk#code> a modelldcatno:Attribute ; dct:title "code"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#int32> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Søk#data> a modelldcatno:Choice ; dct:title "data"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "1" ; modelldcatno:hasSome <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Kommune> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Søk#message> a modelldcatno:Attribute ; dct:title "message"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Eiendom> a modelldcatno:ObjectType ; dct:title "Eiendom"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstatter>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#erstattetav>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#id>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#nummer>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Eiendom#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#int32> a modelldcatno:SimpleType ; dct:title "int32"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#integerschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Kommune> a modelldcatno:ObjectType ; dct:title "Kommune"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#fylke>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#gyldigtil>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#id>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#navn>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Kommune#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . """ ex_5_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Account>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#AccountStatus>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#FinancialInstitution> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Account> a modelldcatno:ObjectType ; dct:description "Account: a specification of a clearly defined type of financial events"@en ; dct:title "Account"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Account#servicer>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Account#status> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Account#servicer> a modelldcatno:Composition ; dct:description "account administrator: financial institution that manages an account on behalf of the account owner, including handling the registration of account transactions, calculating the account balance and providing information about the account"@en ; dct:title "servicer"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:contains <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#FinancialInstitution> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Account#status> a modelldcatno:Attribute ; dct:title "status"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> ; modelldcatno:hasValueFrom <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#AccountStatus> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/FinancialInstitution#name> a modelldcatno:Attribute ; dct:title "name"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/FinancialInstitution/name#name> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/FinancialInstitution/name#name> a modelldcatno:SimpleType ; dct:title "name"@en ; xsd:maxLength 140 ; xsd:minLength 1 ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#AccountStatus> a modelldcatno:CodeList ; dct:title "AccountStatus"@en . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#FinancialInstitution> a modelldcatno:ObjectType ; dct:description "financial institution: Business or other institution involved in finance and banking"@en ; dct:title "FinancialInstitution"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/FinancialInstitution#name> . """ ex_6_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjA>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjC>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjD>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <http://uri.com.well-known/skolem/0> a modelldcatno:Role ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjC> . <http://uri.com.well-known/skolem/1> a modelldcatno:Role ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjD> . <http://uri.com.well-known/skolem/2> a modelldcatno:Attribute ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <http://uri.com.well-known/skolem/3> a modelldcatno:Attribute ; dct:description "test f"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjA> a modelldcatno:ObjectType ; dct:description "Root A"@en ; dct:title "ObjA"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/ObjA#objB> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/ObjA#objB> a modelldcatno:Composition ; dct:description "b thing"@en ; dct:title "objB"@en ; modelldcatno:contains <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/ObjA/objB#objB> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/ObjA/objB#objB> a modelldcatno:ObjectType ; modelldcatno:hasProperty <http://uri.com.well-known/skolem/0>, <http://uri.com.well-known/skolem/1>, <http://uri.com.well-known/skolem/2>, <http://uri.com.well-known/skolem/3> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjC> a modelldcatno:ObjectType ; dct:description "test c"@en ; dct:title "ObjC"@en . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#ObjD> a modelldcatno:ObjectType ; dct:description "test d"@en ; dct:title "ObjD"@en . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . """ ex_7_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Balance>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#BalanceType> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Balance> a modelldcatno:ObjectType ; dct:description "Balance: Sum of deposits and loans in the financial account"@en ; dct:title "Balance"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#type> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#type> a modelldcatno:Attribute ; dct:title "type"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> ; modelldcatno:hasValueFrom <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#BalanceType> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#BalanceType> a modelldcatno:CodeList ; dct:description "Balance type"@en ; dct:title "BalanceType"@en . """ ex_8_ttl = """ @prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Amount>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#CounterParty>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Transaction>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#TransactionReference> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Transaction> a modelldcatno:ObjectType ; dct:description "Transaction: any posting on an account"@en ; dct:title "Transaction"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#additionalInfo>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#amount>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#counterParties>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#merchant>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#references>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#transactionIdentifier> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/CounterParty#name> a modelldcatno:Attribute ; dct:title "name"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/CounterParty/name#name> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/CounterParty/name#name> a modelldcatno:SimpleType ; dct:title "name"@en ; xsd:maxLength 140 ; xsd:minLength 1 ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#additionalInfo> a modelldcatno:Attribute ; dct:description "'Additional information on a transaction: textual description of the contents of a transaction'"@en ; dct:title "additionalInfo"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/additionalInfo#additionalInfo> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#amount> a modelldcatno:Attribute ; dct:title "amount"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Amount> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#counterParties> a modelldcatno:Role ; dct:description "Counterparty: another party, the party to whom a transaction is going or coming from"@en ; dct:title "counterParties"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#CounterParty> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#merchant> a modelldcatno:Attribute ; dct:description "User location: the physical location of the transaction"@en ; dct:title "merchant"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/merchant#merchant> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#references> a modelldcatno:Role ; dct:description "Transaction reference: unique reference associated with the transaction"@en ; dct:title "references"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "0" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#TransactionReference> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction#transactionIdentifier> a modelldcatno:Attribute ; dct:description "Transaction Identifier: The identifier for the transaction"@en ; dct:title "transactionIdentifier"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/transactionIdentifier#transactionIdentifier> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/additionalInfo#additionalInfo> a modelldcatno:SimpleType ; dct:title "additionalInfo"@en ; xsd:maxLength 500 ; xsd:minLength 1 ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/merchant#merchant> a modelldcatno:SimpleType ; dct:title "merchant"@en ; xsd:maxLength 140 ; xsd:minLength 1 ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Transaction/transactionIdentifier#transactionIdentifier> a modelldcatno:SimpleType ; dct:title "transactionIdentifier"@en ; xsd:maxLength 35 ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/TransactionReference#value> a modelldcatno:Attribute ; dct:title "value"@en ; xsd:maxOccurs "1" ; xsd:minOccurs "1" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Amount> a modelldcatno:SimpleType ; dct:title "Amount"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#numberschema> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#CounterParty> a modelldcatno:ObjectType ; dct:description "Counterparty: the party to which a transaction goes to or comes from"@en ; dct:title "CounterParty"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/CounterParty#name> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#TransactionReference> a modelldcatno:ObjectType ; dct:title "TransactionReference"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/TransactionReference#value> . """ ex_9_ttl = """@prefix dct: <http://purl.org/dc/terms/> . @prefix foaf: <http://xmlns.com/foaf/0.1/> . @prefix modelldcatno: <https://data.norge.no/vocabulary/modelldcatno#> . @prefix xsd: <http://www.w3.org/2001/XMLSchema#> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5> a modelldcatno:InformationModel ; dct:hasFormat <http://uri.com> ; dct:title "Informasjonsmodell - datatjeneste eksempler"@nb ; dct:type modelldcatno:physicalModel ; modelldcatno:containsModelElement <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Balance>, <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <http://uri.com> a foaf:Document ; dct:format "http://publications.europa.eu/resource/authority/file-type/JSON"^^dct:MediaType . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#Balance> a modelldcatno:ObjectType ; dct:description "Balance: Sum of deposits and loans in the financial account"@en ; dct:title "Balance"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#validCurrencies> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#validCurrencies> a modelldcatno:Role ; dct:title "validCurrencies"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "1" ; modelldcatno:hasObjectType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#validCurrenciesArray> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance#validCurrenciesArray> a modelldcatno:ObjectType ; dct:title "validCurrenciesArray"@en ; modelldcatno:hasProperty <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance/validCurrencies#items> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5/Balance/validCurrencies#items> a modelldcatno:Attribute ; dct:title "items"@en ; xsd:maxOccurs "*" ; xsd:minOccurs "0" ; modelldcatno:hasSimpleType <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> . <https://publishers.staging.fellesdatakatalog.digdir.no/fdk-model-publisher/catalog/e3a031fe644565af181e1049ab3e99754ddc60d5#string> a modelldcatno:SimpleType ; dct:title "string"@en ; modelldcatno:typeDefinitionReference <https://www.w3.org/2019/wot/json-schema#stringschema> ."""

75.460701

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0.806493

6,148

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1

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1

0

1

0

null

0

10

ff16b6b5513f0e50420c63ca75bdfbd8cdc5edb6

4,279

py

Python

tests/test_results.py

ncheikh/pymarketstore

bfac7883af7b13db460aa509f00ccf9102ead2e3

[ "Apache-2.0" ]

100

2018-02-02T00:43:25.000Z

2022-03-20T16:31:50.000Z

tests/test_results.py

ncheikh/pymarketstore

bfac7883af7b13db460aa509f00ccf9102ead2e3

[ "Apache-2.0" ]

40

2018-02-07T02:35:08.000Z

2022-03-25T14:58:47.000Z

tests/test_results.py

ncheikh/pymarketstore

bfac7883af7b13db460aa509f00ccf9102ead2e3

[ "Apache-2.0" ]

39

2018-03-10T21:20:22.000Z

2022-02-23T07:11:12.000Z

from ast import literal_eval from pymarketstore import results testdata1 = literal_eval(r""" {'responses': [{'result': {'data': [b'\xf4\xe8^Z\x00\x00\x00\x000\xe9^Z\x00\x00\x00\x00l\xe9^Z\x00\x00\x00\x00\xa8\xe9^Z\x00\x00\x00\x00\xe4\xe9^Z\x00\x00\x00\x00', b'{\x14\xaeG\x01\xf4\xc5@H\xe1z\x14\xee\xe1\xc5@\x00\x00\x00\x00\x80\xfb\xc5@\x00\x00\x00\x00\x00\x06\xc6@{\x14\xaeG\x01\xfa\xc5@', b'{\x14\xaeG\x01\xf4\xc5@\x00\x00\x00\x00\x00\xf9\xc5@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\xfe\xc5@', b'\x85\xebQ\xb8^\xe0\xc5@H\xe1z\x14\xee\xe1\xc5@\x00\x00\x00\x00\x80\xfb\xc5@R\xb8\x1e\x85+\xf7\xc5@{\x14\xaeG\x01\xfa\xc5@', b'H\xe1z\x14\xee\xe1\xc5@\x00\x00\x00\x00\x00\xf9\xc5@\x00\x00\x00\x00\x00\x06\xc6@{\x14\xaeG\x01\xfa\xc5@\x85\xebQ\xb8\xfe\xfd\xc5@', b'iL\xd2F\xbf\xaf\n@\xfe\xe6\xff49\xfd\x0b@\xe1\x9b\xe8\xeb\xe01\x10@\xaf\xe4\x11y\x1e\xce\xfa?\xd7\xd2\x8a\x0c\xfe\x00\xf9?'], 'length': 5, 'lengths': {'BTC/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 5}, 'names': ['Epoch', 'Open', 'High', 'Low', 'Close', 'Volume'], 'startindex': {'BTC/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 0}, 'types': ['i8', 'f8', 'f8', 'f8', 'f8', 'f8']}}], 'timezone': 'UTC', 'version': 'dev'} """) # noqa: E501 testdata2 = literal_eval(r""" {'responses': [{'result': {'data': [b'l\xe9^Z\x00\x00\x00\x00\xa8\xe9^Z\x00\x00\x00\x00\xe4\xe9^Z\x00\x00\x00\x00 \xea^Z\x00\x00\x00\x00\\\xea^Z\x00\x00\x00\x00l\xe9^Z\x00\x00\x00\x00\xa8\xe9^Z\x00\x00\x00\x00\xe4\xe9^Z\x00\x00\x00\x00 \xea^Z\x00\x00\x00\x00\\\xea^Z\x00\x00\x00\x00', b'\x00\x00\x00\x00\x00\x88\x8f@)\\\x8f\xc2\xf5\x90\x8f@\xa4p=\n\xd7\x8f\x8f@\xcd\xcc\xcc\xcc\xcc\xa8\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x80\xfb\xc5@\x00\x00\x00\x00\x00\x06\xc6@{\x14\xaeG\x01\xfa\xc5@\x00\x00\x00\x00 \x02\xc6@\x00\x00\x00\x00\x00\x06\xc6@', b'\x00\x00\x00\x00\x00\xb0\x8f@fffff\xa2\x8f@\x00\x00\x00\x00\x00\xa8\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@', b'\x00\x00\x00\x00\x00\x88\x8f@{\x14\xaeG\xe1\x84\x8f@\xa4p=\n\xd7\x8f\x8f@\xf6(\\\x8f\xc2\xa7\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x80\xfb\xc5@R\xb8\x1e\x85+\xf7\xc5@\\\x8f\xc2\xf5h\xf0\xc5@\x00\x00\x00\x00 \x02\xc6@\x00\x00\x00\x00\x00\x06\xc6@', b'\xd7\xa3p=\n\x99\x8f@\xa4p=\n\xd7\x8f\x8f@\x00\x00\x00\x00\x00\xa8\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x00\xb0\x8f@\x00\x00\x00\x00\x00\x06\xc6@{\x14\xaeG\x01\xfa\xc5@\x85\xebQ\xb8\x1e\x02\xc6@\x00\x00\x00\x00\x00\x06\xc6@\x00\x00\x00\x00\x00\x06\xc6@', b'f\r\x83\x9erg8@j\xa8\xcd\x0f\x8e\xdf<@\x7f\xc7\xa6Ku\xbcP@AG\xe5\x05\xdc\x1aU@\xdc\xb1d\xd0\x012+@\xe1\x9b\xe8\xeb\xe01\x10@\xaf\xe4\x11y\x1e\xce\xfa?\xa2\x9a\xa3\xd8\x1bb\x19@s!\xc1\x1a\x88\xa9/@\xbaI\x0c\x02+\x87\xf4?'], 'length': 10, 'lengths': {'BTC/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 5, 'ETH/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 5}, 'names': ['Epoch', 'Open', 'High', 'Low', 'Close', 'Volume'], 'startindex': {'BTC/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 5, 'ETH/1Min/OHLCV:Symbol/Timeframe/AttributeGroup': 0}, 'types': ['i8', 'f8', 'f8', 'f8', 'f8', 'f8']}}], 'timezone': 'America/New_York', 'version': 'dev'} """) # noqa: E501 def test_results(): reply = results.QueryReply.from_response(testdata1) assert reply.timezone == 'UTC' assert str( reply) == """QueryReply(QueryResult(DataSet(key=BTC/1Min/OHLCV, shape=(5,), dtype=[('Epoch', '<i8'), ('Open', '<f8'), ('High', '<f8'), ('Low', '<f8'), ('Close', '<f8'), ('Volume', '<f8')])))""" # noqa assert reply.first().timezone == 'UTC' assert reply.first().symbol == 'BTC' assert reply.first().timeframe == '1Min' assert reply.first().attribute_group == 'OHLCV' assert reply.first().df().shape == (5, 5) assert list(reply.by_symbols().keys()) == ['BTC'] assert reply.keys() == ['BTC/1Min/OHLCV'] assert reply.symbols() == ['BTC'] assert reply.timeframes() == ['1Min'] reply = results.QueryReply.from_response(testdata2) assert str(reply.first().df().index.tzinfo) == 'America/New_York'

76.410714

284

0.65132

784

4,279

3.542092

0.215561

0.380266

0.408354

0.328412

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0

0.20687

0.081561

4,279

55

285

77.8

0.499746

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null

1

0

1

0

1

0

1

null

0

8

205e027cb9e1138da201beeb021c1d67ff383444

1,418

py

Python

tests/tracer/test_constants.py

p7g/dd-trace-py

141ac0ab6e9962e3b3bafc9de172076075289a19

[ "Apache-2.0", "BSD-3-Clause" ]

null

tests/tracer/test_constants.py

p7g/dd-trace-py

141ac0ab6e9962e3b3bafc9de172076075289a19

[ "Apache-2.0", "BSD-3-Clause" ]

null

tests/tracer/test_constants.py

p7g/dd-trace-py

141ac0ab6e9962e3b3bafc9de172076075289a19

[ "Apache-2.0", "BSD-3-Clause" ]

null

import warnings import pytest def test_deprecated(): import ddtrace with warnings.catch_warnings(record=True) as ws: warnings.simplefilter("always") assert ddtrace.constants.FILTERS_KEY (w,) = ws assert issubclass(w.category, DeprecationWarning) assert "ddtrace.constants.FILTERS_KEY is deprecated and will be removed in version '1.0.0'" == str(w.message) with warnings.catch_warnings(record=True) as ws: warnings.simplefilter("always") assert ddtrace.constants.NUMERIC_TAGS (w,) = ws assert issubclass(w.category, DeprecationWarning) assert "ddtrace.constants.NUMERIC_TAGS is deprecated and will be removed in version '1.0.0'" == str(w.message) with warnings.catch_warnings(record=True) as ws: warnings.simplefilter("always") assert ddtrace.constants.LOG_SPAN_KEY (w,) = ws assert issubclass(w.category, DeprecationWarning) assert "ddtrace.constants.LOG_SPAN_KEY is deprecated and will be removed in version '1.0.0'" == str(w.message) def test_not_deprecated(): import ddtrace with warnings.catch_warnings(record=True) as ws: warnings.simplefilter("always") assert ddtrace.constants.ENV_KEY assert len(ws) == 0 def test_invalid(): with pytest.raises(ImportError): from ddtrace.constants import INVALID_CONSTANT # noqa

28.36

118

0.689704

177

1,418

5.423729

0.265537

0.133333

0.160417

0.104167

0.846875

0.809375

0.794792

0

0.009025

0.218618

1,418

49

119

28.938776

0.857401

0.002821

0

0.516129

0

0.192635

0.063031

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0.354839

1

0.096774

true

0

0.193548

0

0.290323

0

null

0

1

0

null

0

1

0

7

2072879e9ec6f7bad13c73ad9346edf525e2d260

4,918

py

Python

sitri/contrib/json.py

gitter-badger/sitri

fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2

[ "MIT" ]

null

sitri/contrib/json.py

gitter-badger/sitri

fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2

[ "MIT" ]

null

sitri/contrib/json.py

gitter-badger/sitri

fd2e7f2dfede0f3565b0dc9f9b8ae7a1bc94f7e2

[ "MIT" ]

null

import json import os import typing from ..config.providers import ConfigProvider from ..credentials.providers import CredentialProvider class JsonConfigProvider(ConfigProvider): """Config provider for JSON""" provider_code = "json" def __init__(self, json_path: str = "./data.yaml", json_data: str = None, default_separator: str = "."): """ :param json_path: path to json file :param json_data: data of json :param default_separator: default value separator for path-mode """ if not json_data: self._json = json.load(open(os.path.abspath(json_path))) else: self._json = json.loads(json_data) self.separator = default_separator def _get_by_path(self, path: str, separator: str) -> typing.Any: """Retrieve value from a dictionary using a list of keys. :param path: string with separated keys """ dict_local = self._json.copy() keys = path.split(separator) for key in keys: try: dict_local = dict_local[int(key)] if key.isdigit() else dict_local[key] except Exception: if key not in dict_local: return None dict_local = dict_local[key] return dict_local def _get_by_key(self, key: str) -> typing.Any: """Retrieve value from a dictionary using a key. :param key: key from json """ if key in self._json: return self._json[key] else: return None def get(self, key: str, path_mode: bool = False, separator: str = None) -> typing.Optional[typing.Any]: """Get value from json :param key: key or path for search :param path_mode: boolean mode switcher :param separator: separator for path keys in path mode """ separator = separator if separator else self.separator if path_mode: return self._get_by_path(key, separator=separator) return self._get_by_key(key) def keys(self, path_mode: bool = False, separator: str = None) -> typing.List[str]: """Keys in json :param path_mode: [future] path mode for keys list :param separator: [future] separators for keys in path mode """ # TODO: implemented path-mode for keys list if not path_mode: return self._json.keys() else: raise NotImplementedError("Path-mode not implemented!") class JsonCredentialProvider(CredentialProvider): """Credential provider for JSON""" provider_code = "json" def __init__(self, json_path: str = "./data.yaml", json_data: str = None, default_separator: str = "."): """ :param json_path: path to json file :param json_data: data of json :param default_separator: default value separator for path-mode """ if not json_data: self._json = json.load(open(os.path.abspath(json_path))) else: self._json = json.loads(json_data) self.separator = default_separator def _get_by_path(self, path: str, separator: str) -> typing.Any: """Retrieve value from a dictionary using a list of keys. :param path: string with separated keys """ dict_local = self._json.copy() keys = path.split(separator) for key in keys: try: dict_local = dict_local[int(key)] if key.isdigit() else dict_local[key] except Exception: if key not in dict_local: return None dict_local = dict_local[key] return dict_local def _get_by_key(self, key: str) -> typing.Any: """Retrieve value from a dictionary using a key. :param key: key from json """ if key in self._json: return self._json[key] else: return None def get(self, key: str, path_mode: bool = False, separator: str = None) -> typing.Optional[typing.Any]: """Get value from json :param key: key or path for search :param path_mode: boolean mode switcher :param separator: separator for path keys in path mode """ separator = separator if separator else self.separator if path_mode: return self._get_by_path(key, separator=separator) return self._get_by_key(key) def keys(self, path_mode: bool = False, separator: str = None) -> typing.List[str]: """Keys in json :param path_mode: [future] path mode for keys list :param separator: [future] separators for keys in path mode """ # TODO: implemented path-mode for keys list if not path_mode: return self._json.keys() else: raise NotImplementedError("Path-mode not implemented!")

30.171779

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0.027904

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4,918

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30.358025

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false

0

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0

null

0

1

0

1

0

null

0

1

0

8

208cb6d2a8a812e87586247f183508061944b498

165

py

Python

inflearn_machine_learning/lab_asssigment/2_lab_build_matrix/windows/build_matrix.py

Junhojuno/TIL

c252b62b94dc519ccd528c2cd8b638e85adee89c

[ "MIT" ]

null

inflearn_machine_learning/lab_asssigment/2_lab_build_matrix/windows/build_matrix.py

Junhojuno/TIL

c252b62b94dc519ccd528c2cd8b638e85adee89c

[ "MIT" ]

null

inflearn_machine_learning/lab_asssigment/2_lab_build_matrix/windows/build_matrix.py

Junhojuno/TIL

c252b62b94dc519ccd528c2cd8b638e85adee89c

[ "MIT" ]

3

2018-05-23T03:33:41.000Z

2018-07-09T14:34:15.000Z

import numpy as np import pandas as pd def get_rating_matrix(filename, dtype=np.float32): pass def get_frequent_matrix(filename, dtype=np.float32): pass

15

52

0.757576

26

165

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null

0

1

0

1

0

1

0

7

20bcb9f04c473c8a6de9169d12767d2ce9ad07c1

191

py

Python

packages/service-integration/tests/test_pytest_plugin.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

25

2018-04-13T12:44:12.000Z

2022-03-12T15:01:17.000Z

packages/service-integration/tests/test_pytest_plugin.py

colinRawlings/osparc-simcore

bf2f18d5bc1e574d5f4c238d08ad15156184c310

[ "MIT" ]

2,553

2018-01-18T17:11:55.000Z

2022-03-31T16:26:40.000Z

packages/service-integration/tests/test_pytest_plugin.py

mrnicegyu11/osparc-simcore

b6fa6c245dbfbc18cc74a387111a52de9b05d1f4

[ "MIT" ]

20

2018-01-18T19:45:33.000Z

2022-03-29T07:08:47.000Z

# pylint:disable=unused-variable # pylint:disable=unused-argument # pylint:disable=redefined-outer-name # TODO: using https://docs.pytest.org/en/stable/writing_plugins.html#testing-plugins

27.285714

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20c3402a92fd35b8c5f99a9925234153e9b1d7f0

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Python

3rdparty/target_file.bzl

ianoc/skeleton

8b5a6eb4529f5f7acef7cb13dcf407b6653bf9f4

[ "Apache-2.0" ]

null

3rdparty/target_file.bzl

ianoc/skeleton

8b5a6eb4529f5f7acef7cb13dcf407b6653bf9f4

[ "Apache-2.0" ]

1

2020-03-04T08:47:04.000Z

2020-03-04T16:20:30.000Z

3rdparty/target_file.bzl

ianoc/skeleton

8b5a6eb4529f5f7acef7cb13dcf407b6653bf9f4

[ "Apache-2.0" ]

1

2021-02-09T04:40:32.000Z

# Do not edit. bazel-deps autogenerates this file from. _JAVA_LIBRARY_TEMPLATE = """ java_library( name = "{name}", exports = [ {exports} ], runtime_deps = [ {runtime_deps} ], visibility = [ "{visibility}" ] )\n""" _SCALA_IMPORT_TEMPLATE = """ scala_import( name = "{name}", exports = [ {exports} ], jars = [ {jars} ], runtime_deps = [ {runtime_deps} ], visibility = [ "{visibility}" ] ) """ _SCALA_LIBRARY_TEMPLATE = """ scala_library( name = "{name}", exports = [ {exports} ], runtime_deps = [ {runtime_deps} ], visibility = [ "{visibility}" ] ) """ def _build_external_workspace_from_opts_impl(ctx): build_header = ctx.attr.build_header separator = ctx.attr.separator target_configs = ctx.attr.target_configs result_dict = {} for key, cfg in target_configs.items(): build_file_to_target_name = key.split(":") build_file = build_file_to_target_name[0] target_name = build_file_to_target_name[1] if build_file not in result_dict: result_dict[build_file] = [] result_dict[build_file].append(cfg) for key, file_entries in result_dict.items(): build_file_contents = build_header + '\n\n' for build_target in file_entries: entry_map = {} for entry in build_target: elements = entry.split(separator) build_entry_key = elements[0] if elements[1] == "L": entry_map[build_entry_key] = [e for e in elements[2::] if len(e) > 0] elif elements[1] == "B": entry_map[build_entry_key] = (elements[2] == "true" or elements[2] == "True") else: entry_map[build_entry_key] = elements[2] exports_str = "" for e in entry_map.get("exports", []): exports_str += "\"" + e + "\",\n" jars_str = "" for e in entry_map.get("jars", []): jars_str += "\"" + e + "\",\n" runtime_deps_str = "" for e in entry_map.get("runtimeDeps", []): runtime_deps_str += "\"" + e + "\",\n" name = entry_map["name"].split(":")[1] if entry_map["lang"] == "java": build_file_contents += _JAVA_LIBRARY_TEMPLATE.format(name = name, exports=exports_str, runtime_deps=runtime_deps_str, visibility=entry_map["visibility"]) elif entry_map["lang"].startswith("scala") and entry_map["kind"] == "import": build_file_contents += _SCALA_IMPORT_TEMPLATE.format(name = name, exports=exports_str, jars=jars_str, runtime_deps=runtime_deps_str, visibility=entry_map["visibility"]) elif entry_map["lang"].startswith("scala") and entry_map["kind"] == "library": build_file_contents += _SCALA_LIBRARY_TEMPLATE.format(name = name, exports=exports_str, runtime_deps=runtime_deps_str, visibility=entry_map["visibility"]) else: print(entry_map) ctx.file(ctx.path(key + "/BUILD"), build_file_contents, False) return None build_external_workspace_from_opts = repository_rule( attrs = { "target_configs": attr.string_list_dict(mandatory = True), "separator": attr.string(mandatory = True), "build_header": attr.string(mandatory = True), }, implementation = _build_external_workspace_from_opts_impl ) def build_header(): return """""" def list_target_data_separator(): return "|||" def list_target_data(): return { 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["lang||||||java","name||||||//3rdparty/jvm/com/google/dagger:dagger","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/dagger/dagger","runtimeDeps|||L|||//3rdparty/jvm/javax/inject:javax_inject","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/dagger:dagger_compiler": 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["lang||||||java","name||||||//3rdparty/jvm/com/google/dagger:dagger_spi","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/dagger/dagger_spi","runtimeDeps|||L|||//3rdparty/jvm/com/google/guava:guava|||//3rdparty/jvm/com/squareup:javapoet|||//3rdparty/jvm/com/google/guava:failureaccess|||//3rdparty/jvm/com/google/code/findbugs:jsr305|||//3rdparty/jvm/com/google/dagger:dagger_producers|||//3rdparty/jvm/javax/inject:javax_inject|||//3rdparty/jvm/com/google/dagger:dagger","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/errorprone:error_prone_annotations": ["lang||||||java","name||||||//3rdparty/jvm/com/google/errorprone:error_prone_annotations","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/errorprone/error_prone_annotations","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/errorprone:javac_shaded": ["lang||||||java","name||||||//3rdparty/jvm/com/google/errorprone:javac_shaded","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/errorprone/javac_shaded","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/googlejavaformat:google_java_format": ["lang||||||java","name||||||//3rdparty/jvm/com/google/googlejavaformat:google_java_format","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/googlejavaformat/google_java_format","runtimeDeps|||L|||//3rdparty/jvm/com/google/guava:guava|||//3rdparty/jvm/com/google/errorprone:javac_shaded","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/guava:failureaccess": ["lang||||||java","name||||||//3rdparty/jvm/com/google/guava:failureaccess","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/guava/failureaccess","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/guava:guava": ["lang||||||java","name||||||//3rdparty/jvm/com/google/guava:guava","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/guava/guava","runtimeDeps|||L|||//3rdparty/jvm/com/google/errorprone:error_prone_annotations|||//3rdparty/jvm/com/google/guava:failureaccess|||//3rdparty/jvm/com/google/code/findbugs:jsr305|||//3rdparty/jvm/com/google/guava:listenablefuture|||//3rdparty/jvm/com/google/j2objc:j2objc_annotations|||//3rdparty/jvm/org/checkerframework:checker_qual","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/guava:listenablefuture": ["lang||||||java","name||||||//3rdparty/jvm/com/google/guava:listenablefuture","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/guava/listenablefuture","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/j2objc:j2objc_annotations": ["lang||||||java","name||||||//3rdparty/jvm/com/google/j2objc:j2objc_annotations","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/j2objc/j2objc_annotations","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/protobuf:protobuf_java": ["lang||||||java","name||||||//3rdparty/jvm/com/google/protobuf:protobuf_java","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/protobuf/protobuf_java","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/google/protobuf:protobuf_java_util": ["lang||||||java","name||||||//3rdparty/jvm/com/google/protobuf:protobuf_java_util","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/google/protobuf/protobuf_java_util","runtimeDeps|||L|||//3rdparty/jvm/com/google/protobuf:protobuf_java|||//3rdparty/jvm/com/google/guava:guava|||//3rdparty/jvm/com/google/code/gson:gson","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/com/squareup:javapoet": ["lang||||||java","name||||||//3rdparty/jvm/com/squareup:javapoet","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/com/squareup/javapoet","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/commons_io:commons_io": ["lang||||||java","name||||||//3rdparty/jvm/commons_io:commons_io","visibility||||||//visibility:public","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/commons_io/commons_io","runtimeDeps|||L|||","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"], "3rdparty/jvm/javax/annotation:jsr250_api": 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"3rdparty/jvm/org/jetbrains/kotlinx:kotlinx_metadata_jvm": ["lang||||||java","name||||||//3rdparty/jvm/org/jetbrains/kotlinx:kotlinx_metadata_jvm","visibility||||||//3rdparty/jvm:__subpackages__","kind||||||library","deps|||L|||","jars|||L|||","sources|||L|||","exports|||L|||//external:jar/org/jetbrains/kotlinx/kotlinx_metadata_jvm","runtimeDeps|||L|||//3rdparty/jvm/org/jetbrains/kotlin:kotlin_stdlib","processorClasses|||L|||","generatesApi|||B|||false","licenses|||L|||","generateNeverlink|||B|||false"] } def build_external_workspace(name): return build_external_workspace_from_opts(name = name, target_configs = list_target_data(), separator = list_target_data_separator(), build_header = build_header())

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20d91dca622025c40e9655704f8c22f3046c2078

61,881

py

Python

darkhistory/electrons/ics/BE_integrals.py

cgiovanetti/DarkHistory

ca1ce2e9478be1023a7b5fee19e7c1b2a21862e8

[ "MIT" ]

8

2019-04-23T02:09:40.000Z

2022-02-15T21:11:25.000Z

darkhistory/electrons/ics/BE_integrals.py

cgiovanetti/DarkHistory

ca1ce2e9478be1023a7b5fee19e7c1b2a21862e8

[ "MIT" ]

1

2017-09-29T17:36:45.000Z

darkhistory/electrons/ics/BE_integrals.py

cgiovanetti/DarkHistory

ca1ce2e9478be1023a7b5fee19e7c1b2a21862e8

[ "MIT" ]

10

2019-04-23T16:29:58.000Z

2022-02-05T01:25:31.000Z

"""Integrals over the Bose-Einstein distribution.""" import numpy as np import scipy.special as sp from darkhistory.utilities import log_1_plus_x from darkhistory.utilities import check_err from darkhistory.utilities import bernoulli as bern from darkhistory.utilities import log_series_diff from darkhistory.utilities import spence_series_diff from darkhistory.utilities import exp_expn from darkhistory.utilities import hyp2f1_func_real from scipy.integrate import quad def F2(a,b,tol=1e-10): """Definite integral of x^2/[(exp(x) - 1)] Parameters ---------- a : ndarray Lower limit of integration. Can be either 1D or 2D. b : ndarray Upper limit of integration. Can be either 1D or 2D. tol : float The relative tolerance to be reached. Default is 1e-10. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: return x**2/2 - x**3/6 else: return( bern(k)*x**(k+2)/(sp.factorial(k)*(k+2)) ) # B_n for n odd, n > 1 is zero. def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) # gammaincc(n,x) = 1/gamma(n) * int_x^\infty t^{n-1}exp(-t) dt expr[~inf] = 2*sp.gammaincc( 3, k*np.array(x[~inf], dtype='float64') )/k**3 return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0], dtype='float128'), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b') b = np.outer(np.ones(a.shape[0], dtype='float128'), b) # if both are 1D, the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): # Initialize first term of each sum for either limit, and set integral to that value. low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a # Index of summand. k_low = 2 # Initialize error. err_max = 10*tol while err_max > tol: # Get next term. next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) # Estimate the error err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) # Add the next term in the series to the integral. integral [both_low] += next_term[both_low] # Increment k_low. Increment by 2 since B_n is zero for odd n > 1. k_low += 2 # Set the errors. Only propagate parts where the errors are large to the next step. err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(1.417948518338124870521) # First term in integral from a to bound int_a_bound = low_sum_bound - low_sum_a # First term in integral from bound to infinity int_bound_b = int_bound_inf - high_sum_b # Initialize the integral integral[low_high] = int_a_bound + int_bound_b # Counters, error estimate k_low = 2 k_high = 2 err_max = 10*tol # Arrays for next term next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term to correct high_sum_b, since int_bound_inf is exact. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) # Error estimate err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) # Add the next terms to the current integral. integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F1(a,b,epsrel=0): """Definite integral of x/[(exp(x) - 1)]. This is computed from the indefinite integral .. math:: \\int dx \\frac{x}{e^x - 1} = x \\log\\left(1 - e^{-x} \\right) - \\text{Li}_2\\left(e^{-x}\\right) = x \\log\\left(1 - e^{-x} \\right) - \\text{Sp}\\left( 1 - e^{-x} \\right) + \\frac{\\pi^2}{6} \\,, where Sp is Spence's function, as implemented in ``scipy.special.spence``. Parameters ---------- a : ndarray Lower limit of integration. Can be either 1D or 2D. b : ndarray Upper limit of integration. Can be either 1D or 2D. epsrel : float Target relative error associated with series expansion. If zero, then the error is not computed. Default is 0. If the error is larger than ``epsrel``, then the Taylor expansions used here are insufficient. Higher order terms can be added very easily, however. Returns ------- float The resulting integral. Notes ----- For a or b > 0.01, the exact analytic expression is used, whereas below that we use a series expansion. This avoids numerical errors due to computation of log(1 - exp(-x)) and likewise in the `spence` function. Note that `scipy.special.spence` can only take `float64` numbers, so downcasting is necessary for 0.01 < x < 3. See Also --------- :func:`.log_1_plus_x`, :func:`.spence_series_diff` """ lowlim = 0.1 upplim = 3 def indef_int(x): inf = (x == np.inf) low = (x < lowlim) high = (x > upplim) & (~inf) gen = ~(low | high) & (~inf) expr = np.zeros(x.size) # Two different series for small and large x limit. # Excludes pi^2/6 to avoid catastrophic cancellation. if np.any(inf): expr[inf] = 0 if np.any(low): expr[low] = ( x[low] - x[low]**2/4 + x[low]**3/36 - x[low]**5/3600 + x[low]**7/211680 - x[low]**9/10886400 ) if np.any(high): n = np.arange(11) + 1 expr[high] = ( x[high]*log_1_plus_x(-np.exp(-x[high])) - np.exp(-x[high]) - np.exp(-2*x[high])/4 - np.exp(-3*x[high])/9 - np.exp(-4*x[high])/16 - np.exp(-5*x[high])/25 - np.exp(-6*x[high])/36 - np.exp(-7*x[high])/49 - np.exp(-8*x[high])/64 - np.exp(-9*x[high])/81 - np.exp(-10*x[high])/100 - np.exp(-11*x[high])/121 ) if np.any(gen): expr[gen] = (x[gen]*log_1_plus_x(-np.exp(-x[gen])) - sp.spence( np.array(1. - np.exp(-x[gen]), dtype='float64') ) ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0]), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0]), b) # if both are 1D, then the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') both_low = (a < lowlim) & (b < lowlim) both_high = (a > upplim) & (b > upplim) if np.any(both_low): integral[both_low] = ( b[both_low]-a[both_low] - (b[both_low]-a[both_low])*(b[both_low]+a[both_low])/4 + (b[both_low]**3 - a[both_low]**3)/36 - (b[both_low]**5 - a[both_low]**5)/3600 + (b[both_low]**7 - a[both_low]**7)/211680 - (b[both_low]**9 - a[both_low]**9)/10886400 ) if epsrel > 0: err = (b[both_low]**11 - a[both_low]**11)/526901760 check_err(integral[both_low], err, epsrel) if np.any(both_high): # Use a series for the spence function. spence_term = np.zeros_like(integral) spence_term[both_high] = spence_series_diff( np.exp(-b[both_high]), np.exp(-a[both_high]) ) b_inf = both_high & (b == np.inf) b_not_inf = both_high & (b != np.inf) integral[b_inf] = ( - a[b_inf]*log_1_plus_x(-np.exp(-a[b_inf])) - spence_term[b_inf] ) integral[b_not_inf] = ( b[b_not_inf]*log_1_plus_x(-np.exp(-b[b_not_inf])) - a[b_not_inf]*log_1_plus_x(-np.exp(-a[b_not_inf])) - spence_term[b_not_inf] ) if epsrel > 0: err = ( np.exp(-b[both_high])**11 - np.exp(-a[both_high])**11 )/11**2 check_err(integral[both_high], err, epsrel) gen_case = ~(both_low | both_high) if np.any(gen_case): integral[gen_case] = indef_int(b[gen_case]) - indef_int(a[gen_case]) # Correct for missing pi^2/6 where necessary. a_low_b_notlow = (a < lowlim) & (b >= lowlim) integral[a_low_b_notlow] += np.pi**2/6 return integral def F0(a,b,epsrel=0): """Definite integral of 1/[(exp(x) - 1)]. Parameters ---------- a : ndarray Lower limit of integration. Can be either 1D or 2D. b : ndarray Upper limit of integration. Can be either 1D or 2D. err : float Error associated with series expansion. If zero, then the error is not computed. Returns ------- float The resulting integral. """ lowlim = 0.1 upplim = 3 def indef_int(x): inf = (x == np.inf) low = (x <= 1e-10) high = (x > 1e-10) & (~inf) expr = np.zeros_like(x) if np.any(inf): expr[inf] = 0 if np.any(high): expr[high] = log_1_plus_x(-np.exp(-x[high])) if np.any(low): expr[low] = ( np.log(x[low]) - x[low]/2 + x[low]**2/24 - x[low]**4/2880 + x[low]**6/181440 - x[low]**8/9676800 + x[low]**10/479001600 ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0]), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0]), b) # if both are 1D, then the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') both_low = (a < lowlim) & (b < lowlim) both_high = (a > upplim) & (b > upplim) if np.any(both_low): integral[both_low] = ( np.log(b[both_low]/a[both_low]) - (b[both_low]-a[both_low])/2 + (b[both_low]-a[both_low])*(b[both_low]+a[both_low])/24 - (b[both_low]**4 - a[both_low]**4)/2880 + (b[both_low]**6 - a[both_low]**6)/181440 - (b[both_low]**8 - a[both_low]**8)/9676800 + (b[both_low]**10 - a[both_low]**10)/479001600 ) if epsrel > 0: err = -(b[both_low]**12 - a[both_low]**12)*691/15692092416000 check_err(integral[both_low], err, epsrel) if np.any(both_high): integral[both_high] = log_series_diff( np.exp(-b[both_high]), np.exp(-a[both_high]) ) if epsrel > 0: err = -( np.exp(-b[both_high])**12 - np.exp(-a[both_high])**12 )/12 check_err(integral[both_high], err, epsrel) gen_case = ~(both_low | both_high) if np.any(gen_case): integral[gen_case] = indef_int(b[gen_case]) - indef_int(a[gen_case]) return integral def F_inv(a,b,tol=1e-10): """Definite integral of (1/x)/(exp(x) - 1). Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: return -1/x - np.log(x)/2 else: return ( bern(k)*(x**(k-1))/ (sp.factorial(k)*(k-1)) ) # B_n for n odd, n > 1 is zero. def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) expr[~inf] = sp.expn(1, k*np.array(x[~inf], dtype='float64')) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0],dtype='float128'), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0],dtype='float128'), b) # if both are 1D, then the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(0.053082306482669888568) int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term for the b to inf integral. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_inv_a(lowlim, a, tol=1e-10): """Integral of 1/((x+a)(exp(x) - 1)) from lowlim to infinity. Parameters ---------- a : ndarray Parameter in (x+a). lowlim : ndarray Lower limit of integration. tol : float The relative tolerance to be reached. Returns ------- ndarray The resulting integral. """ bound = np.ones_like(lowlim, dtype='float128')*2. # Two different series to approximate this: below and above bound. def low_summand(x, a, k): x_flt64 = np.array(x, dtype='float64') a_flt64 = np.array(a, dtype='float64') if k == 1: expr = np.log(x)/a - np.log(x+a)/a - 0.5*x*( 1/a - x/(2*a**2) *hyp2f1_func_real(1, -x/a) ) # expr = np.log(x)/a - np.log(x+a)/a - 0.5*x*( # 1/a - x/(2*a**2) # *np.real(sp.hyp2f1(1, 2, 3, -x_flt64/a_flt64 + 0j)) # ) return expr else: return bern(k)*x**k/(sp.factorial(k)*k)*( 1/a - k*x/((k+1)*a**2)*hyp2f1_func_real(k, -x/a) ) # return bern(k)*x**k/(sp.factorial(k)*k)*( # 1/a - k*x/((k+1)*a**2)*np.real( # sp.hyp2f1(1, k+1, k+2, -x_flt64/a_flt64 + 0j) # ) # ) def high_summand(x, a, k): x_flt64 = np.array(x, dtype='float64') a_flt64 = np.array(a, dtype='float64') inf = (x == np.inf) expr = np.zeros_like(x) expr[inf] = 0 expr[~inf] = np.exp(-k*x[~inf])*exp_expn( 1, k*(x[~inf] + a[~inf]) ) return expr if a.ndim == 1 and lowlim.ndim == 2: if lowlim.shape[1] != a.size: raise TypeError('The second dimension of lowlim must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(lowlim.shape[0]), a) elif a.ndim == 2 and lowlim.ndim == 1: if a.shape[1] != lowlim.size: raise TypeError('The second dimension of a must have the same length as lowlim.') lowlim = np.outer(np.ones(a.shape[0]), lowlim) # if both are 1D, then the rest of the code still works. integral = np.zeros(lowlim.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) a_is_zero = (a == 0) low = (lowlim < 2) & ~a_is_zero high = ~low & ~a_is_zero if np.any(a_is_zero): integral[a_is_zero] = F_inv( lowlim[a_is_zero], np.ones_like(lowlim[a_is_zero])*np.inf, tol = tol ) if np.any(low): integral[low] = ( low_summand(bound[low], a[low], 1) - low_summand(lowlim[low], a[low], 1) + high_summand(bound[low], a[low], 1) ) k_low = 2 k_high = 2 err_max = 10*tol while err_max > tol: next_term[low] = ( low_summand(bound[low], a[low], k_low) - low_summand(lowlim[low], a[low], k_low) + high_summand(bound[low], a[low], k_high) ) err[low] = np.abs( np.divide( next_term[low], integral[low], out = np.zeros_like(next_term[low]), where = integral[low] != 0 ) ) integral[low] += next_term[low] k_low += 2 k_high += 1 err_max = np.max(err[low]) low &= (err > tol) if np.any(high): integral[high] = high_summand(lowlim[high], a[high], 1) k_high = 2 err_max = 10*tol while err_max > tol: next_term[high] = high_summand(lowlim[high], a[high], k_high) err[high] = np.abs( np.divide( next_term[high], integral[high], out = np.zeros_like(next_term[high]), where = integral[high] != 0 ) ) integral[high] += next_term[high] k_high += 1 err_max = np.max(err[high]) high &= (err > tol) return integral, err def F_inv_n(a,b,n,tol=1e-10): """Definite integral of (1/x**n)/(exp(x) - 1) Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ bound = np.float128(2.) # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: init_sum = 0 for j in np.arange(n): init_sum += bern(j)/sp.factorial(j)*x**(j-n)/(j-n) init_sum += bern(n)/sp.factorial(n)*np.log(x) return init_sum else: # B_n for n odd, n > 1 is zero. if np.mod(k+n-1, 2) == 0: return( bern(k+n-1)/sp.factorial(k+n-1)*x**(k-1)/(k-1) ) else: return( bern(k+n)/sp.factorial(k+n)*x**k/k ) def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) expr[~inf] = ( sp.expn(n, k*np.array(x[~inf], dtype='float64'))/x[~inf]**(n-1) ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0],dtype='float128'), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0],dtype='float128'), b) # if both are 1D, then the rest of the code still works. integral = np.zeros_like(a, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = quad( lambda x: 1/(x**n*(np.exp(x) - 1)), bound, np.inf, epsabs = 1e-16, epsrel=1e-16 )[0] int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term for the b to inf integral. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_inv_3(a,b,tol=1e-10): """Definite integral of (1/x**3)/(exp(x) - 1). Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: return -1/(3*x**3) + 1/(4*x**2) - 1/(12*x) else: return ( bern(k+2)*(x**(k-1))/(sp.factorial(k+2)*(k-1)) ) # B_n for n odd, n > 1 is zero. def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) expr[~inf] = ( sp.expn(3, k*np.array(x[~inf], dtype='float64'))/x[~inf]**2 ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0],dtype='float128'), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0],dtype='float128'), b) # if both are 1D, then the rest of the code still works. integral = np.zeros_like(a, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(0.0083036361900336) int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term for the b to inf integral. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_inv_5(a,b,tol=1e-10): """Definite integral of (1/x**5)/(exp(x) - 1). Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: return -1/(5*x**5) + 1/(8*x**4) - 1/(36*x**3) + 1/(720*x) else: return ( bern(k+4)*(x**(k-1))/(sp.factorial(k+4)*(k-1)) ) # B_n for n odd, n > 1 is zero. def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) expr[~inf] = ( sp.expn(5, k*np.array(x[~inf], dtype='float64'))/x[~inf]**4 ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0],dtype='float128'), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0],dtype='float128'), b) # if both are 1D, then the rest of the code still works. integral = np.zeros_like(a, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(0.001483878955697788) int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term for the b to inf integral. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_log(a,b,tol=1e-10): """Definite integral of log(x)/(exp(x) - 1). Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. # Two different series to approximate this: below and above bound. def low_summand(x, k): if k == 1: return 1/2*(np.log(x)**2) - (x/2)*(np.log(x) - 1) else: return ( bern(k)*(x**k)/ (sp.factorial(k)*k**2)*(k*np.log(x) - 1) ) # B_n for n odd, n > 1 is zero. def high_summand(x, k): # sp.expn does not support float128. inf = (x == np.inf) expr = np.zeros_like(x) expr[inf] = 0 expr[~inf] = ( 1/k*(np.exp(-k*x[~inf])*np.log(x[~inf]) + sp.expn( 1, k*np.array(x[~inf], dtype='float64') ) ) ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0]), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0]), b) # if both are 1D, then the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(0.15171347859984083704) int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) # Only need to compute the next term for the b to inf integral. next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_x_log(a,b,tol=1e-10): """Definite integral of x log(x)/(exp(x) - 1). Parameters ---------- a : ndarray Lower limit of integration. b : ndarray Upper limit of integration. tol : float The relative tolerance to be reached. Returns ------- float The resulting integral. """ # bound is fixed. If changed to another number, the exact integral from bound to infinity later in the code needs to be changed to the appropriate value. bound = 2. def low_summand(x,k): if k==1: return x*np.log(x) - x - (x**2/2)*(2*np.log(x) - 1)/4 else: return ( bern(k)*(x**(k+1))/ (sp.factorial(k)*(k+1)**2)*((k+1)*np.log(x) - 1) ) def high_summand(x, k): inf = (x == np.inf) expr = np.zeros_like(x) expr[inf] = 0 expr[~inf] = ( 1/k**2*( (1+k*x[~inf])*np.exp(-k*x[~inf])*np.log(x[~inf]) + (1+k*x[~inf])*sp.expn( 1, k*np.array(x[~inf], dtype='float64') ) + sp.expn(2, k*np.array(x[~inf], dtype='float64')) ) ) return expr if a.ndim == 1 and b.ndim == 2: if b.shape[1] != a.size: raise TypeError('The second dimension of b must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(b.shape[0]), a) elif a.ndim == 2 and b.ndim == 1: if a.shape[1] != b.size: raise TypeError('The second dimension of a must have the same length as b.') b = np.outer(np.ones(a.shape[0]), b) # if both are 1D, then the rest of the code still works. integral = np.zeros(a.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) both_low = (a < bound) & (b < bound) low_high = (a < bound) & (b >= bound) both_high = (a > bound) & (b > bound) # Both low if np.any(both_low): low_sum_a = low_summand(a[both_low], 1) low_sum_b = low_summand(b[both_low], 1) integral[both_low] = low_sum_b - low_sum_a k_low = 2 err_max = 10*tol while err_max > tol: next_term[both_low] = ( low_summand(b[both_low], k_low) - low_summand(a[both_low], k_low) ) err[both_low] = np.abs( np.divide( next_term[both_low], integral[both_low], out = np.zeros_like(next_term[both_low]), where = integral[both_low] != 0 ) ) integral[both_low] += next_term[both_low] k_low += 2 err_max = np.max(err[both_low]) both_low &= (err > tol) # a low b high if np.any(low_high): # Evaluate the definite integral from a to 2, and then 2 to b. low_sum_a = low_summand(a[low_high], 1) high_sum_b = high_summand(b[low_high], 1) low_sum_bound = low_summand(bound, 1) # Exact integral from 2 to infinity. int_bound_inf = np.float128(0.4888742871822041) int_a_bound = low_sum_bound - low_sum_a int_bound_b = int_bound_inf - high_sum_b integral[low_high] = int_a_bound + int_bound_b k_low = 2 k_high = 2 err_max = 10*tol next_term_a_bound = np.zeros_like(integral) next_term_bound_b = np.zeros_like(integral) while err_max > tol: next_term_a_bound[low_high] = ( low_summand(bound, k_low) - low_summand(a[low_high], k_low) ) next_term_bound_b[low_high] = ( -high_summand(b[low_high], k_high) ) next_term[low_high] = ( next_term_a_bound[low_high] + next_term_bound_b[low_high] ) err[low_high] = np.abs( np.divide( next_term[low_high], integral[low_high], out = np.zeros_like(next_term[low_high]), where = integral[low_high] != 0 ) ) integral[low_high] += next_term[low_high] k_low += 2 k_high += 1 err_max = np.max(err[low_high]) low_high &= (err > tol) # Both high if np.any(both_high): high_sum_a = high_summand(a[both_high], 1) high_sum_b = high_summand(b[both_high], 1) integral[both_high] = high_sum_a - high_sum_b k_high = 2 err_max = 10*tol while err_max > tol: next_term[both_high] = ( high_summand(a[both_high], k_high) - high_summand(b[both_high], k_high) ) err[both_high] = np.abs( np.divide( next_term[both_high], integral[both_high], out = np.zeros_like(next_term[both_high]), where = integral[both_high] != 0 ) ) integral[both_high] += next_term[both_high] k_high += 1 err_max = np.max(err[both_high]) both_high &= (err > tol) return integral, err def F_log_a(lowlim, a, tol=1e-10): """Integral of log(x+a)/(exp(x) - 1) from lowlim to infinity. Parameters ---------- a : ndarray Parameter in log(x+a). lowlim : ndarray Lower limit of integration. tol : float The relative tolerance to be reached. Returns ------- ndarray The resulting integral. """ bound = np.ones_like(lowlim,dtype='float128')*2. # Two different series to approximate this: below and above bound. def low_summand(x, a, k): x_flt64 = np.array(x, dtype='float64') a_flt64 = np.array(a, dtype='float64') if k == 1: expr = np.zeros_like(x) a_pos = a > 0 a_neg = a < 0 if np.any(a_pos): expr[a_pos] = ( np.log(x[a_pos])*np.log(a[a_pos]) - sp.spence(1+x_flt64[a_pos]/a_flt64[a_pos]) - ( (x[a_pos]+a[a_pos]) *np.log(x[a_pos]+a[a_pos]) - x[a_pos] )/2 ) if np.any(a_neg): expr[a_neg] = ( np.log(-x[a_neg]/a[a_neg])*np.log(x[a_neg]+a[a_neg]) + sp.spence(-x_flt64[a_neg]/a_flt64[a_neg]) - ( (x[a_neg]+a[a_neg])*np.log(x[a_neg]+a[a_neg]) - x[a_neg] )/2 ) return expr else: return ( bern(k)*x**k/(sp.factorial(k)*k)*( np.log(x + a) - x/(a*(k+1))*hyp2f1_func_real(k, -x/a) ) ) # return ( # bern(k)*x**k/(sp.factorial(k)*k)*( # np.log(x + a) - x/(a*(k+1))*np.real( # sp.hyp2f1( # 1, k+1, k+2, -x_flt64/a_flt64 + 0j # ) # ) # ) # ) def high_summand(x, a, k): x_flt64 = np.array(x, dtype='float64') a_flt64 = np.array(a, dtype='float64') inf = (x == np.inf) expr = np.zeros_like(x) expr[inf] = 0 expr[~inf] = ( np.exp(-k*x[~inf])/k*( np.log(x[~inf] + a[~inf]) + exp_expn(1, k*(x[~inf] + a[~inf])) ) ) return expr if a.ndim == 1 and lowlim.ndim == 2: if lowlim.shape[1] != a.size: raise TypeError('The second dimension of lowlim must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(lowlim.shape[0]), a) elif a.ndim == 2 and lowlim.ndim == 1: if a.shape[1] != lowlim.size: raise TypeError('The second dimension of a must have the same length as lowlim.') lowlim = np.outer(np.ones(a.shape[0]), lowlim) # if both are 1D, then the rest of the code still works. integral = np.zeros(lowlim.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) a_is_zero = (a == 0) low = (lowlim < 2) & ~a_is_zero high = ~low & ~a_is_zero if np.any(a_is_zero): integral[a_is_zero] = F_log(lowlim[a_is_zero], np.ones_like(lowlim[a_is_zero])*np.inf, tol=tol ) if np.any(low): integral[low] = ( low_summand(bound[low], a[low], 1) - low_summand(lowlim[low], a[low], 1) + high_summand(bound[low], a[low], 1) ) k_low = 2 k_high = 2 err_max = 10*tol while err_max > tol: next_term[low] = ( low_summand(bound[low], a[low], k_low) - low_summand(lowlim[low], a[low], k_low) + high_summand(bound[low], a[low], k_high) ) err[low] = np.abs( np.divide( next_term[low], integral[low], out = np.zeros_like(next_term[low]), where = integral[low] != 0 ) ) integral[low] += next_term[low] k_low += 2 k_high += 1 err_max = np.max(err[low]) low &= (err > tol) if np.any(high): integral[high] = high_summand(lowlim[high], a[high], 1) k_high = 2 err_max = 10*tol while err_max > tol: next_term[high] = high_summand(lowlim[high], a[high], k_high) err[high] = np.abs( np.divide( next_term[high], integral[high], out = np.zeros_like(next_term[high]), where = integral[high] != 0 ) ) integral[high] += next_term[high] k_high += 1 err_max = np.max(err[high]) high &= (err > tol) return integral, err def F_x_log_a(lowlim, a, tol=1e-10): """Integral of x log (x+a)/(exp(x) - 1) from lowlim to infinity. Parameters ---------- a : ndarray Parameter in x log(x+a). lowlim : ndarray Lower limit of integration. tol : float The relative tolerance to be reached. Returns ------- ndarray The resulting integral. """ bound = np.ones_like(lowlim, dtype='float128')*2 # Two different series to approximate this: below and above bound. def low_summand(x, a, k): # x_flt64 = np.array(x, dtype='float64') # a_flt64 = np.array(a, dtype='float64') if k == 1: return ( x*( np.log(a+x) - 1 + hyp2f1_func_real(0, -x/a) ) -x**2/8*( 2*np.log(a+x) - 1 + hyp2f1_func_real(1, -x/a) ) # x*( # np.log(a+x) - 1 # + np.real(sp.hyp2f1( # 1, 1, 2, -x/a + 0j) # ) # ) # -x**2/8*( # 2*np.log(a+x) - 1 # + np.real(sp.hyp2f1( # 1, 2, 3, -x/a + 0j) # ) # ) ) else: return ( bern(k)*x**(k+1)/(sp.factorial(k)*(k+1)**2)*( (k+1)*np.log(x+a) - 1 + hyp2f1_func_real(k, -x/a) ) ) # return ( # bern(k)*x**(k+1)/(sp.factorial(k)*(k+1)**2)*( # (k+1)*np.log(x+a) - 1 # + np.real(sp.hyp2f1( # 1, k+1, k+2, -x/a + 0j # )) # ) # ) def high_summand(x, a, k): # x_flt64 = np.array(x, dtype='float64') # a_flt64 = np.array(a, dtype='float64') inf = (x == np.inf) expr = np.zeros_like(x) expr[inf] = 0 expr[~inf] = ( np.exp(-k*x[~inf])/k**2*( (1+k*x[~inf])*np.log(x[~inf] + a[~inf]) + (1+k*x[~inf])*exp_expn(1, k*(x[~inf] + a[~inf])) + exp_expn(2, k*(x[~inf] + a[~inf])) ) ) return expr if a.ndim == 1 and lowlim.ndim == 2: if lowlim.shape[1] != a.size: raise TypeError('The second dimension of lowlim must have the same length as a.') # Extend a to a 2D array. a = np.outer(np.ones(lowlim.shape[0]), a) elif a.ndim == 2 and lowlim.ndim == 1: if a.shape[1] != lowlim.size: raise TypeError('The second dimension of a must have the same length as lowlim.') lowlim = np.outer(np.ones(a.shape[0]), lowlim) # if both are 1D, then the rest of the code still works. integral = np.zeros(lowlim.shape, dtype='float128') err = np.zeros_like(integral) next_term = np.zeros_like(integral) a_is_zero = (a == 0) low = (lowlim < 2) & ~a_is_zero high = ~low & ~a_is_zero if np.any(a_is_zero): integral[a_is_zero] = F_x_log( lowlim[a_is_zero], np.ones_like(lowlim[a_is_zero])*np.inf, tol = tol ) bound_flt64 = np.array(bound, dtype='float64') a_flt64 = np.array(a, dtype='float64') lowlim_flt64 = np.array(lowlim, dtype='float64') if np.any(low): integral[low] = ( low_summand(bound_flt64[low], a_flt64[low], 1) - low_summand(lowlim_flt64[low], a_flt64[low], 1) + high_summand(bound_flt64[low], a_flt64[low], 1) ) k_low = 2 k_high = 2 err_max = 10*tol while err_max > tol: next_term[low] = ( low_summand( bound_flt64[low], a_flt64[low], k_low ) - low_summand( lowlim_flt64[low], a_flt64[low], k_low ) + high_summand( bound_flt64[low], a_flt64[low], k_high ) ) err[low] = np.abs( np.divide( next_term[low], integral[low], out = np.zeros_like(next_term[low]), where = integral[low] != 0 ) ) integral[low] += next_term[low] k_low += 2 k_high += 1 err_max = np.max(err[low]) low &= (err > tol) if np.any(high): integral[high] = high_summand( lowlim_flt64[high], a_flt64[high], 1 ) k_high = 2 err_max = 10*tol while err_max > tol: next_term[high] = high_summand( lowlim_flt64[high], a_flt64[high], k_high ) err[high] = np.abs( np.divide( next_term[high], integral[high], out = np.zeros_like(next_term[high]), where = integral[high] != 0 ) ) integral[high] += next_term[high] k_high += 1 err_max = np.max(err[high]) high &= (err > tol) return integral, err

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py

Python

ipeadatapy/describe.py

gustavobrangel/ipeadatapy

4a9460fe4869bba44ca9d6c5a3346e16d2776443

[ "MIT" ]

41

2019-05-08T01:10:06.000Z

2022-02-23T02:08:37.000Z

ipeadatapy/describe.py

gustavobrangel/ipeadatapy

4a9460fe4869bba44ca9d6c5a3346e16d2776443

[ "MIT" ]

4

2020-04-26T23:18:48.000Z

2021-04-29T10:03:45.000Z

ipeadatapy/describe.py

gustavobrangel/ipeadatapy

4a9460fe4869bba44ca9d6c5a3346e16d2776443

[ "MIT" ]

8

2020-06-15T08:16:25.000Z

2021-11-25T01:29:43.000Z

import pandas as pd from .metadata import metadata from .metadata_old import metadata_old def describe(series): """Describes the specified time series. series must be the time series' code.""" desc_df = pd.DataFrame({list(metadata(series)['NAME'])[0]: [list(metadata(series)['NAME'])[0], list(metadata(series)['CODE'])[0], list(metadata_old(series)['BIG THEME'])[0], list(metadata_old(series)['THEME'])[0], list(metadata(series)['SOURCE'])[0], list(metadata(series)['SOURCE ACRONYM'])[0], list(metadata(series)['COMMENT'])[0], list(metadata(series)['LAST UPDATE'])[0], list(metadata(series)['FREQUENCY'])[0], list(metadata(series)['MEASURE'])[0], list(metadata(series)['UNIT'])[0], list(metadata(series)['SERIES STATUS'])[0]]}, index=['Name', 'Code', 'Big Theme', 'Theme', 'Source', 'Source acronym', 'Comment', 'Last update', 'Frequency', 'Measure', 'Unit', 'Status']) return desc_df

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456d23db7b71d6166d4cfe0d0d6f852fe2b394c9

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py

Python

tests/test_units/test_auth/test_openid_connect.py

iburinoc/aiogoogle

6f702c0d19599fce1bd36b7a32922e76aaa74008

[ "MIT" ]

null

tests/test_units/test_auth/test_openid_connect.py

iburinoc/aiogoogle

6f702c0d19599fce1bd36b7a32922e76aaa74008

[ "MIT" ]

null

tests/test_units/test_auth/test_openid_connect.py

iburinoc/aiogoogle

6f702c0d19599fce1bd36b7a32922e76aaa74008

[ "MIT" ]

null

# TODO: def test_authorization_url(): pass def test_decode_and_validate(): pass def test_build_user_creds_jwt_grant(): pass

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4571c43222b631884d3cec187156449fc2fa3c7c

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py

Python

src/huggingface/fortex/huggingface/__init__.py

Piyush13y/forte-wrappers

250df428a8705f769d53eb070f89c3f66e713015

[ "Apache-2.0" ]

3

2021-06-17T18:52:00.000Z

2022-01-11T19:15:21.000Z

src/huggingface/fortex/huggingface/__init__.py

Piyush13y/forte-wrappers

250df428a8705f769d53eb070f89c3f66e713015

[ "Apache-2.0" ]

66

2021-03-30T15:04:11.000Z

2022-03-24T04:35:11.000Z

src/huggingface/fortex/huggingface/__init__.py

Piyush13y/forte-wrappers

250df428a8705f769d53eb070f89c3f66e713015

[ "Apache-2.0" ]

10

2021-03-16T19:48:31.000Z

2022-03-01T05:48:17.000Z

from fortex.huggingface.bio_ner_predictor import * from fortex.huggingface.transformers_processor import * from fortex.huggingface.question_and_answering_single import * from fortex.huggingface.zero_shot_classifier import * from fortex.huggingface.token_classification import *

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45d0e603b50a2fe165e0e63a16fffdf65a79155e

4,406

py

Python

text2vec/text_matching_dataset.py

shibing624/simtext

b9e805db5f6ba90115fbb8b824bf80c141f0ddde

[ "Apache-2.0" ]

18

2019-11-12T03:28:23.000Z

2019-12-05T07:52:24.000Z

text2vec/text_matching_dataset.py

wuxiuzhi738/text2vec

b9e805db5f6ba90115fbb8b824bf80c141f0ddde

[ "Apache-2.0" ]

3

2019-11-12T08:05:37.000Z

2019-12-04T13:49:25.000Z

text2vec/text_matching_dataset.py

wuxiuzhi738/text2vec

b9e805db5f6ba90115fbb8b824bf80c141f0ddde

[ "Apache-2.0" ]

5

2019-11-17T13:58:33.000Z

2019-12-05T06:24:35.000Z

# -*- coding: utf-8 -*- """ @author:XuMing(xuming624@qq.com) @description: """ import os from torch.utils.data import Dataset from loguru import logger from transformers import PreTrainedTokenizer from datasets import load_dataset def load_train_data(path): data = [] if not os.path.isfile(path): return data with open(path, 'r', encoding='utf8') as f: for line in f: line = line.strip().split('\t') if len(line) != 3: logger.warning(f'line size not match, pass: {line}') continue score = int(line[2]) if 'STS' in path.upper(): score = int(score > 2.5) data.append((line[0], line[1], score)) return data def load_test_data(path): data = [] if not os.path.isfile(path): return data with open(path, 'r', encoding='utf8') as f: for line in f: line = line.strip().split('\t') if len(line) != 3: logger.warning(f'line size not match, pass: {line}') continue data.append((line[0], line[1], int(line[2]))) return data class TextMatchingTrainDataset(Dataset): """文本匹配训练数据集, 重写__getitem__和__len__方法""" def __init__(self, tokenizer: PreTrainedTokenizer, data: list, max_len: int = 64): self.tokenizer = tokenizer self.data = data self.max_len = max_len def __len__(self): return len(self.data) def text_2_id(self, text: str): return self.tokenizer(text, max_length=self.max_len, truncation=True, padding='max_length', return_tensors='pt') def __getitem__(self, index: int): line = self.data[index] return self.text_2_id(line[0]), self.text_2_id(line[1]), line[2] class TextMatchingTestDataset(Dataset): """文本匹配测试数据集, 重写__getitem__和__len__方法""" def __init__(self, tokenizer: PreTrainedTokenizer, data: list, max_len: int = 64): self.tokenizer = tokenizer self.data = data self.max_len = max_len def __len__(self): return len(self.data) def text_2_id(self, text: str): return self.tokenizer(text, max_length=self.max_len, truncation=True, padding='max_length', return_tensors='pt') def __getitem__(self, index: int): line = self.data[index] return self.text_2_id(line[0]), self.text_2_id(line[1]), line[2] class HFTextMatchingTrainDataset(Dataset): """Load HuggingFace datasets to SBERT format Args: tokenizer (PreTrainedTokenizer): tokenizer name (str): dataset name max_len (int): max length of sentence """ def __init__(self, tokenizer: PreTrainedTokenizer, name="STS-B", max_len: int = 64): self.tokenizer = tokenizer self.data = load_dataset("shibing624/nli_zh", name.upper(), split="train") self.max_len = max_len self.name = name.upper() def __len__(self): return len(self.data) def text_2_id(self, text: str): return self.tokenizer(text, max_length=self.max_len, truncation=True, padding='max_length', return_tensors='pt') def __getitem__(self, index: int): line = self.data[index] # STS-B convert to 0/1 label return self.text_2_id(line['sentence1']), self.text_2_id(line['sentence2']), int( line['label'] > 2.5) if 'STS' in self.name else line['label'] class HFTextMatchingTestDataset(Dataset): """Load HuggingFace datasets to SBERT format Args: tokenizer (PreTrainedTokenizer): tokenizer name (str): dataset name max_len (int): max length of sentence """ def __init__(self, tokenizer: PreTrainedTokenizer, name="STS-B", max_len: int = 64, split="validation"): self.tokenizer = tokenizer self.data = load_dataset("shibing624/nli_zh", name.upper(), split=split) self.max_len = max_len def __len__(self): return len(self.data) def text_2_id(self, text: str): return self.tokenizer(text, max_length=self.max_len, truncation=True, padding='max_length', return_tensors='pt') def __getitem__(self, index: int): line = self.data[index] return self.text_2_id(line['sentence1']), self.text_2_id(line['sentence2']), line['label']

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