xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

e3c8c4ab21bfc32860481768ba00b47689728664

1,029

py

Python

tests/fixtures/responses.py

myslak71/dmt

fcf892391656c02118733db6680d9e4e33b59495

[ "MIT" ]

1

2019-01-30T14:05:25.000Z

tests/fixtures/responses.py

myslak71/dmt

fcf892391656c02118733db6680d9e4e33b59495

[ "MIT" ]

null

tests/fixtures/responses.py

myslak71/dmt

fcf892391656c02118733db6680d9e4e33b59495

[ "MIT" ]

null

fixed_time_entries = [{'stop': '2018-03-05T18:08:21+00:00', 'at': '2018-03-05T18:08:21+00:00', 'duration': 70, 'guid': '68c5136314e9680a54d0a28508139836', 'start': '2018-03-05T18:08:15+00:00', 'id': 1, 'description': 'task-1', 'duronly': False, 'uid': 2488778, 'billable': False, 'wid': 1688309}, {'stop': '2018-03-05T18:08:21+00:00', 'at': '2018-03-05T18:08:21+00:00', 'duration': 6, 'guid': '68c5136314e9680a54d0a28508139836', 'start': '2018-03-05T18:08:15+00:00', 'id': 2, 'description': 'task-2', 'duronly': False, 'uid': 2488778, 'billable': False, 'wid': 1688309}, {'stop': '2018-03-05T18:08:21+00:00', 'at': '2018-03-05T18:08:21+00:00', 'duration': 500, 'guid': '68c5136314e9680a54d0a28508139836', 'start': '2018-03-05T18:08:15+00:00', 'id': 3, 'description': 'task-3', 'duronly': False, 'uid': 2488778, 'billable': False, 'wid': 1688309}]

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11,728

py

Python

tests/test_elastic.py

tfcollins/test-results-manager

38c9a9c28afaea67b6d73d4eb567a460dcfd276a

[ "BSD-3-Clause" ]

null

tests/test_elastic.py

tfcollins/test-results-manager

38c9a9c28afaea67b6d73d4eb567a460dcfd276a

[ "BSD-3-Clause" ]

5

2022-01-26T13:28:03.000Z

2022-03-02T19:08:23.000Z

tests/test_elastic.py

sdgtt/telemetry

38c9a9c28afaea67b6d73d4eb567a460dcfd276a

[ "BSD-3-Clause" ]

null

import pytest import os import telemetry import time import datetime server = os.environ.get("SERVER") if "SERVER" in os.environ else "alpine" @pytest.fixture(autouse=True) def run_around_tests(): # Before test res = telemetry.elastic(server=server) res.index_name = "dummy" res.delete_index() yield # After test res = telemetry.elastic(server=server) res.index_name = "dummy" res.delete_index() def test_db_connect(): telemetry.elastic(server=server) # Should complete without error assert True def test_db_create_delete(): res = telemetry.elastic(server=server) loc = os.path.dirname(__file__) loc = os.path.split(loc)[:-1] loc = os.path.join(loc[0], "telemetry", "resources", "evm_tests_el.json") s = res.import_schema(loc) res.create_db_from_schema(s) res.delete_index() def test_add_entry(): res = telemetry.elastic(server=server) loc = os.path.dirname(__file__) loc = os.path.split(loc)[:-1] loc = os.path.join(loc[0], "telemetry", "resources", "evm_tests_el.json") s = res.import_schema(loc) res.create_db_from_schema(s) # Add entry import datetime entry = { "test_name": "EVM_1", "date": datetime.datetime.now(), "tx_device": "PlutoA", "rx_device": "PlutoA", "CARRIER_FREQUENCY": 1000000000, "tx_sample_rate": 1000000, "rx_sample_rate": 1000000, "standard": "LTE10_ETM3p1", "evm_db": 3.2, "iteration": 1, } res.add_entry(entry) time.sleep(2) results = res.search_all() res.delete_index() print(results) assert results["hits"]["total"]["value"] == 1 def test_ingest_tx_quad_cal(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_ad9361_tx_quad_cal_test("test1", "pluto", 4, 100, 0) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_search_tx_quad_cal(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_ad9361_tx_quad_cal_test("test1", "pluto", 4, 100, 0) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True x, y, t = tel.ad9361_tx_quad_cal_test() tel.db.delete_index() assert y == [4] assert t == [100] assert x def test_search_tx_quad_cal_chan1(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_ad9361_tx_quad_cal_test("test1", "pluto", 4, 100, 0) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True x, y, t = tel.ad9361_tx_quad_cal_test(channel=1) tel.db.delete_index() assert y == [] assert t == [] assert x == [] def test_search_tx_quad_cal_chan0(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_ad9361_tx_quad_cal_test("test1", "pluto", 4, 100, 0) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True x, y, t = tel.ad9361_tx_quad_cal_test(channel=0) tel.db.delete_index() assert y == [4] assert t == [100] assert x def test_ingest_lte(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_lte_evm_test( "AD9361", -10, "slow_attack", 1e9, "TM 3.1", "5 MHz", 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, ) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_ingest_github_stats(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_ad9361_tx_quad_cal_test("TransceiverToolbox", 1, 2, 3, 4) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_search_github_stats(): tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_github_stats("TransceiverToolbox", 1, 2, 3, 4) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True stats = tel.github_stats() tel.db.delete_index() for k in stats: assert k == "TransceiverToolbox" assert stats["TransceiverToolbox"]["views"] == 1 assert stats["TransceiverToolbox"]["clones"] == 2 assert stats["TransceiverToolbox"]["view_unique"] == 3 assert stats["TransceiverToolbox"]["clones_unique"] == 4 def test_log_github_release_stats(): tel = telemetry.ingest(server=server) tel.use_test_index = True rd = datetime.datetime.now() tel.log_github_release_stats("TransceiverToolbox", "v19.2.1", 1024, rd) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_search_github_release_stats(): tel = telemetry.ingest(server=server) tel.use_test_index = True rd = datetime.datetime.now() tel.log_github_release_stats("TransceiverToolbox", "v19.2.1", 1024, rd) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True stats = tel.github_release_stats() tel.db.delete_index() s = datetime.datetime.strptime( stats["TransceiverToolbox"]["release_date"], "%Y-%m-%dT%H:%M:%S.%f" ) for k in stats: assert k == "TransceiverToolbox" assert stats["TransceiverToolbox"]["tag"] == "v19.2.1" assert stats["TransceiverToolbox"]["downloads"] == 1024 assert s == rd def test_ingest_boot_tests_stats(): tel = telemetry.ingest(server=server) tel.use_test_index = True inputs = { "boot_folder_name": "zynq-adrv9361-z7035-bob", "hdl_hash": "ecd880d44cdd000691283f2edbd31aa52d6ccc3e", "linux_hash": "b0cb7c3bfd1fec02b1671b061112cd2551a9b340", "boot_partition_hash": "decb7c3bfd1fec02b1671b061112cd2551a9b3ac", "hdl_branch": "hdl_2019_r2", "linux_branch": "2019_R2", "boot_partition_branch": "NA", "is_hdl_release": True, "is_linux_release": True, "is_boot_partition_release": True, "uboot_reached": True, "linux_prompt_reached": True, "drivers_enumerated": 10, "drivers_missing": 5, "pytest_errors": 5, "pytest_failures": 5, "pytest_skipped": 5, "pytest_tests": 5, "matlab_errors": 5, "matlab_failures": 6, "matlab_skipped": 7, "matlab_tests": 8, "dmesg_warnings_found": 0, "dmesg_errors_found": 0, "jenkins_job_date": datetime.datetime.now(), # "Dec 31, 2020 @ 13:47:04.129", "jenkins_build_number": 34, "jenkins_project_name": "pyadi-iio-hw", "jenkins_agent": "master", "jenkins_trigger": "manual", "last_failing_stage": "NA", "last_failing_stage_failure": "NA" } tel.log_boot_tests(**inputs) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_ingest_hdl_resources(): loc = os.path.dirname(__file__) loc = os.path.split(loc)[:-1] loc = os.path.join(loc[0], "tests", "resource_utilization.csv") tel = telemetry.ingest(server=server) tel.use_test_index = True tel.log_hdl_resources_from_csv(loc) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_search_boot_tests(): tel = telemetry.ingest(server=server) tel.use_test_index = True inputs = { "boot_folder_name": "zynq-adrv9361-z7035-bob", "hdl_hash": "ecd880d44cdd000691283f2edbd31aa52d6ccc3e", "linux_hash": "b0cb7c3bfd1fec02b1671b061112cd2551a9b340", "boot_partition_hash": "decb7c3bfd1fec02b1671b061112cd2551a9b3ac", "hdl_branch": "hdl_2019_r2", "linux_branch": "2019_R2", "boot_partition_branch": "NA", "is_hdl_release": True, "is_linux_release": True, "is_boot_partition_release": True, "uboot_reached": True, "linux_prompt_reached": True, "drivers_enumerated": 10, "drivers_missing": 5, "pytest_errors": 5, "pytest_failures": 5, "pytest_skipped": 5, "pytest_tests": 5, "matlab_errors": 5, "matlab_failures": 6, "matlab_skipped": 7, "matlab_tests": 8, "dmesg_warnings_found": 0, "dmesg_errors_found": 0, "jenkins_job_date": datetime.datetime.now(), # "Dec 31, 2020 @ 13:47:04.129", "jenkins_build_number": 34, "jenkins_project_name": "pyadi-iio-hw", "jenkins_agent": "master", "jenkins_trigger": "manual", "last_failing_stage": "NA", "last_failing_stage_failure": "NA" } tel.log_boot_tests(**inputs) time.sleep(2) inputs["boot_folder_name"] = "zynq-adrv9361-z7035-fmc" tel.log_boot_tests(**inputs) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True res = tel.boot_tests() tel.db.delete_index() assert len(res) == 2 assert "zynq-adrv9361-z7035-fmc" in res.keys() assert "zynq-adrv9361-z7035-bob" in res.keys() def test_ingest_log_artifacts(): tel = telemetry.ingest(server=server) tel.use_test_index = True inputs = { "url": "http://SERVER/jenkins/job/HW_tests/job/HW_test_multiconfig/690/artifact/dmesg_zynq-adrv9361-z7035-fmc_err.log", "server": "http://SERVER/jenkins", "job": "HW_tests/HW_test_multiconfig", "job_no": 690, "job_date": None, "job_build_parameters": "NA", "file_name": "dmesg_zynq-adrv9361-z7035-fmc_err.log", "target_board": "zynq-adrv9361-z7035-fmc", "artifact_info_type": "dmesg_error", "payload_raw": "[ 3.820072] systemd[1]: Failed to look up module alias 'autofs4': Function not implemented", "payload_ts": "3.820072", "payload": "systemd[1]: Failed to look up module alias 'autofs4': Function not implemented", "payload_param": "False-0-adi.adrv9002" } tel.log_artifacts(**inputs) time.sleep(2) results = tel.db.search_all() tel.db.delete_index() assert results["hits"]["total"]["value"] == 1 def test_search_artifacts(): tel = telemetry.ingest(server=server) tel.use_test_index = True inputs = { "url": "http://SERVER/jenkins/job/HW_tests/job/HW_test_multiconfig/690/artifact/dmesg_zynq-adrv9361-z7035-fmc_err.log", "server": "http://SERVER/jenkins", "job": "HW_tests/HW_test_multiconfig", "job_no": 690, "job_date": None, "job_build_parameters": "NA", "file_name": "dmesg_zynq-adrv9361-z7035-fmc_err.log", "target_board": "zynq-adrv9361-z7035-fmc", "artifact_info_type": "dmesg_error", "payload_raw": "[ 3.820072] systemd[1]: Failed to look up module alias 'autofs4': Function not implemented", "payload_ts": "3.820072", "payload": "systemd[1]: Failed to look up module alias 'autofs4': Function not implemented", "payload_param": "False-0-adi.adrv9002" } tel.log_artifacts(**inputs) time.sleep(2) inputs["file_name"] = "zynq-adrv9361-z7035-fmc_enumerated_devs.log" tel.log_artifacts(**inputs) time.sleep(2) tel = telemetry.searches(server=server) tel.use_test_index = True res = tel.artifacts() tel.db.delete_index() assert len(res) == 2 assert "zynq-adrv9361-z7035-fmc_enumerated_devs.log" in res[0]['file_name'] assert "dmesg_zynq-adrv9361-z7035-fmc_err.log" in res[1]['file_name']

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Python

tests/llvm/static/test.py

ganeshutah/FPChecker

53a471429762ace13f69733cb2f8b7227fc15b9f

[ "Apache-2.0" ]

19

2019-09-28T16:15:45.000Z

2022-02-15T15:11:28.000Z

tests/llvm/static/test.py

tanmaytirpankar/FPChecker

d3fe4bd9489c5705df58a67dbbc388ac1ebf56bf

[ "Apache-2.0" ]

16

2020-02-01T18:43:00.000Z

2021-12-22T14:47:39.000Z

tests/llvm/static/test.py

tanmaytirpankar/FPChecker

d3fe4bd9489c5705df58a67dbbc388ac1ebf56bf

[ "Apache-2.0" ]

5

2020-07-27T18:15:36.000Z

2021-11-01T18:43:34.000Z

#!/usr/bin/env python import test_config import subprocess import os import sys def main(): print "* Static Tests *" ########################################################################### t = "Test: find instrumentation functions" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_find_inst_functions/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: num. fp operations" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_number_fp_operations/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: a device function is found" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_device_func_found/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: a global function is found" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_global_func_found/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: main() is found" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_main_is_found/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: global array instrumentation" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_global_array_instrumentation/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### ########################################################################### t = "Test: correct func are found and instrumented" testTarget = test_config.textWidth.format(t) sys.stdout.write(testTarget) os.chdir(test_config.path + "/test_correct_inst_functions_found/") cmd = ["./test.py"] cmdOutput = subprocess.check_output(cmd, stderr=subprocess.STDOUT, shell=True) sys.stdout.write(cmdOutput) os.chdir("../") ########################################################################### main()

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588c7b60ead93b3b3f3300d29b0e672ec555a4a2

18,545

py

Python

startup/users/30-user-McNeil.py

mrakitin/profile_collection-smi

1eea45a3b886b2c0daeec715ce94f27da24d0ba3

[ "BSD-3-Clause" ]

null

startup/users/30-user-McNeil.py

mrakitin/profile_collection-smi

1eea45a3b886b2c0daeec715ce94f27da24d0ba3

[ "BSD-3-Clause" ]

null

startup/users/30-user-McNeil.py

mrakitin/profile_collection-smi

1eea45a3b886b2c0daeec715ce94f27da24d0ba3

[ "BSD-3-Clause" ]

null

def waxs_S_edge_guil(t=1): dets = [pil300KW] names = ['sample02', 'sample03', 'sample04', 'sample05', 'sample06', 'sample07', 'sample08', 'sample09', 'sample10', 'sample11', 'sample12'] x = [26500, 21500, 16000, 10500, 5000, 0, -5500, -10500, 16000, -21000, -26500]#, -34000, -41000] y = [600, 600, 800, 700, 700, 600, 600, 600, 600, 900, 900]#, 700, 800] energies = np.linspace(2450, 2500, 26) waxs_arc = [0, 6.5, 13] for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1300, 26) if int(waxs.arc.position) == 0: waxs_arc = [0, 6.5, 13] elif int(waxs.arc.position) == 13: waxs_arc = [13, 6.5, 0] if name == 'sample02': waxs_arc = [6.5, 0] for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}' for e, ysss in zip(energies, yss): yield from bps.sleep(1) yield from bps.mv(energy, e) yield from bps.mv(piezo.y, ysss) sample_name = name_fmt.format(sample=name, energy=e, wax = wa) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) def giwaxs_S_edge_chris(t=1): dets = [pil300KW] # names = ['e1_01', 'e1_02', 'e1_03', 'e1_04', 'd1_01', 'd1_02', 'd1_03', 'd1_04', 'd1_05', 'd1_06'] # x = [56000, 45500, 34000, 22000, 11000, 0, -11000, -22500, -34000, -46000] names = ['d1_07', 'd1_08', 'd1_10', 'd1_11'] x = [55000, 42500, 31000, 19000] energies = np.arange(2450, 2470, 5).tolist() + np.arange(2470, 2480, 0.25).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist() waxs_arc = np.linspace(0, 39, 7) ai0 = 0 for name, xs in zip(names, x): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.th, ai0) yield from bps.mv(GV7.open_cmd, 1 ) yield from bps.sleep(1) yield from bps.mv(GV7.open_cmd, 1 ) yield from bps.sleep(1) yield from alignement_gisaxs(angle = 0.4) # yield from bps.mv(att2_9, 'Insert') yield from bps.mv(GV7.close_cmd, 1 ) yield from bps.sleep(1) # yield from bps.mv(att2_9, 'Insert') yield from bps.mv(GV7.close_cmd, 1 ) yield from bps.sleep(1) ai0 = piezo.th.position yield from bps.mv(piezo.th, ai0 + 0.7) xss = np.linspace(xs, xs - 8000, 57) for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, xsss in zip(energies, xss): yield from bps.mv(energy, e) yield from bps.sleep(2) yield from bps.mv(piezo.x, xsss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) def giwaxs_S_edge_chris_redo(t=1): dets = [pil300KW] names = ['a1_02_redo']#, 'sample03', 'sample04', 'sample05', 'sample06', 'sample07', 'sample08', 'sample09', 'sample10', 'sample11', 'sample12'] x = [38000,-6000,-16000, -26000, -38000]#, 21500, 16000, 10500, 5000, 0, -5500, -10500, 16000, -21000, -26500]#, -34000, -41000] #y = [600]#, 600, 800, 700, 700, 600, 600, 600, 600, 900, 900]#, 700, 800] energiess = [[2495, 2500], [2495], [2455, 2470, 2495, 2500], [2488, 2490, 2495, 2500], [2495, 2500]] waxs_arc = np.linspace(0, 39, 7) ai0 = 0 for name, xs, energies in zip(names, x, energiess): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.th, ai0) yield from bps.mv(GV7.open_cmd, 1 ) yield from bps.sleep(1) yield from bps.mv(GV7.open_cmd, 1 ) yield from bps.sleep(1) yield from alignement_gisaxs(angle = 0.4) yield from bps.mv(att2_9, 'Insert') yield from bps.mv(GV7.close_cmd, 1 ) yield from bps.sleep(1) yield from bps.mv(att2_9, 'Insert') yield from bps.mv(GV7.close_cmd, 1 ) yield from bps.sleep(1) ai0 = piezo.th.position yield from bps.mv(piezo.th, ai0 + 0.7) ''' if int(waxs.arc.position) == 0: waxs_arc = [0, 6.5, 13] elif int(waxs.arc.position) == 13: waxs_arc = [13, 6.5, 0] ''' for wa in waxs_arc: yield from bps.mv(waxs, wa) yield from bps.mvr(piezo.x, -500) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e in energies: yield from bps.mv(energy, e) yield from bps.sleep(1) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) def waxs_S_edge_chris_n(t=1): dets = [pil300KW] names = ['b2_08', 'b2_09', 'b2_10', 'c2_01', 'c2_02', 'c2_03', 'c2_04', 'c2_05', 'c2_06', 'c2_07', 'c2_08'] x = [41500, 36300, 30900, 25600, 20200, 15200, 9700, 4700, -500, -5900, -11500] y = [1000, 800, 800, 900, 800, 800, 600, 400, 500, 600, 500] energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 0.25).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist() waxs_arc = np.linspace(0, 39, 7) for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1000, 29) xss = np.array([xs, xs + 500]) yss, xss = np.meshgrid(yss, xss) yss = yss.ravel() xss = xss.ravel() for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, xsss, ysss in zip(energies, xss, yss): yield from bps.mv(energy, e) yield from bps.sleep(1) yield from bps.mv(piezo.y, ysss) yield from bps.mv(piezo.x, xsss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) dets = [pil300KW] names = ['EH_static'] x = [-16700] y = [1000] energies = [2450, 2470, 2475, 2500] waxs_arc = np.linspace(0, 39, 7) for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e in energies: yield from bps.mv(energy, e) yield from bps.sleep(1) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) yield from bps.mv(energy, 2450) yield from bps.sleep(5) yield from bps.mv(energy, 2500) yield from bps.sleep(5) yield from bps.mv(energy, 2550) yield from bps.sleep(5) yield from bps.mv(energy, 2580) yield from bps.sleep(5) yield from bps.mv(energy, 2610) yield from bps.sleep(5) yield from bps.mv(energy, 2640) yield from bps.sleep(5) yield from bps.mv(energy, 2660) yield from bps.sleep(5) yield from bps.mv(energy, 2680) yield from bps.sleep(5) yield from bps.mv(energy, 2700) yield from bps.sleep(5) yield from bps.mv(energy, 2720) yield from bps.sleep(5) yield from bps.mv(energy, 2740) yield from bps.sleep(5) yield from bps.mv(energy, 2760) yield from bps.sleep(5) yield from bps.mv(energy, 2780) yield from bps.sleep(5) yield from bps.mv(energy, 2800) yield from bps.sleep(5) dets = [pil300KW] names = ['c2_04', 'c2_06', 'c2_08'] x = [10600, 400, -10400] y = [600, 500, 500] energies = np.arange(2810, 2820, 5).tolist() + np.arange(2820, 2840, 0.5).tolist() + np.arange(2840, 2850, 1).tolist() waxs_arc = np.linspace(0, 36, 5) for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1000, 52) for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, ysss in zip(energies, yss): yield from bps.mv(energy, e) yield from bps.sleep(1) yield from bps.mv(piezo.y, ysss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2830) yield from bps.sleep(5) yield from bps.mv(energy, 2810) yield from bps.sleep(5) def waxs_S_edge_chris_night(t=1): dets = [pil300KW] energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 0.25).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist() waxs_arc = np.linspace(0, 39, 7) yield from bps.mv(stage.th, 0) yield from bps.mv(stage.y, 0) names = ['e2_01', 'e2_02', 'e2_03', 'e2_04', 'b2_04', 'b2_08', 'd2_01', 'd2_02', 'd2_03', 'd2_04', 'd2_05', 'd2_06', 'd2_07', 'd2_08'] x = [41600, 35800, 29400, 23500, 6500, 1200, -4500, -9800,-15200,-21000,-26700,-32000,-37200,-42800,] y = [-4300, -4300, -4100, -4000, -4200,-4200, -4300, -4200, -4200, -4300, -4300, -4200, -4100, -4300, ] for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1000, 29) xss = np.array([xs, xs + 500]) yss, xss = np.meshgrid(yss, xss) yss = yss.ravel() xss = xss.ravel() for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, xsss, ysss in zip(energies, xss, yss): yield from bps.mv(energy, e) yield from bps.sleep(1) yield from bps.mv(piezo.y, ysss) yield from bps.mv(piezo.x, xsss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) yield from bps.mv(stage.th, 1) yield from bps.mv(stage.y, -8) names = ['d2_10', 'd2_11'] x = [-15700, -10200] y = [-8800, -8800] for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1000, 29) xss = np.array([xs, xs + 500]) yss, xss = np.meshgrid(yss, xss) yss = yss.ravel() xss = xss.ravel() for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, xsss, ysss in zip(energies, xss, yss): yield from bps.mv(energy, e) yield from bps.sleep(1) yield from bps.mv(piezo.y, ysss) yield from bps.mv(piezo.x, xsss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) yield from bps.mv(energy, 2450) yield from bps.sleep(5) yield from bps.mv(energy, 2500) yield from bps.sleep(5) yield from bps.mv(energy, 2550) yield from bps.sleep(5) yield from bps.mv(energy, 2580) yield from bps.sleep(5) yield from bps.mv(energy, 2610) yield from bps.sleep(5) yield from bps.mv(energy, 2640) yield from bps.sleep(5) yield from bps.mv(energy, 2660) yield from bps.sleep(5) yield from bps.mv(energy, 2680) yield from bps.sleep(5) yield from bps.mv(energy, 2700) yield from bps.sleep(5) yield from bps.mv(energy, 2720) yield from bps.sleep(5) yield from bps.mv(energy, 2740) yield from bps.sleep(5) yield from bps.mv(energy, 2760) yield from bps.sleep(5) yield from bps.mv(energy, 2780) yield from bps.sleep(5) yield from bps.mv(energy, 2800) yield from bps.sleep(5) dets = [pil300KW] yield from bps.mv(stage.th, 0) yield from bps.mv(stage.y, 0) names = ['b2_01', 'b2_02', 'b2_04', 'b2_08'] x = [17800, 12200, 6750, 1450] y = [-4100, -4200,-4200,-4200] energies = np.arange(2810, 2820, 5).tolist() + np.arange(2820, 2825, 1).tolist() + np.arange(2825, 2835, 0.25).tolist() + np.arange(2835, 2840, 0.5).tolist() + np.arange(2840, 2850, 1).tolist() waxs_arc = np.linspace(0, 39, 7) for name, xs, ys in zip(names, x, y): yield from bps.mv(piezo.x, xs) yield from bps.mv(piezo.y, ys) yss = np.linspace(ys, ys + 1000, 29) xss = np.array([xs, xs + 500]) yss, xss = np.meshgrid(yss, xss) yss = yss.ravel() xss = xss.ravel() for wa in waxs_arc: yield from bps.mv(waxs, wa) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_wa{wax}_bpm{xbpm}' for e, xsss, ysss in zip(energies, xss, yss): yield from bps.mv(energy, e) yield from bps.sleep(1) yield from bps.mv(piezo.y, ysss) yield from bps.mv(piezo.x, xsss) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2830) yield from bps.sleep(2) yield from bps.mv(energy, 2810) yield from bps.sleep(2) def nexafs_90deg_McNeil(t=1): dets = [pil300KW] energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 0.25).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist() waxs_arc = [52.5] ai = [0.7, 20, 55] names = ['D1_06'] for name in names: det_exposure_time(t,t) name_fmt = 'nexafs_vert_{sample}_{energy}eV_angle{ai}_bpm{xbpm}' ai0 = prs.position for ais in ai: yield from bps.mv(prs, ai0-ais) yield from bps.mvr(piezo.y, 100) for e in energies: yield from bps.mv(energy, e) yield from bps.sleep(1) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, ai ='%2.2d'%ais, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450) def giwaxs_vert_S_edge_McNeil(t=1): dets = [pil300KW] names = ['D1_06'] energies = np.arange(2445, 2470, 5).tolist() + np.arange(2470, 2480, 0.25).tolist() + np.arange(2480, 2490, 1).tolist()+ np.arange(2490, 2501, 5).tolist() waxs_arc = [4, 10.5, 17] dets = [pil300KW] for name in names: for i, wa in enumerate(waxs_arc): if i==0: print('wa=4deg') else: yield from bps.mv(waxs, wa) name_fmt = 'GIWAXS_90deg_{sample}_{energy}eV_ai0.7_wa{wax}_bpm{xbpm}' for e in energies: yield from bps.mv(energy, e) yield from bps.sleep(1) bpm = xbpm2.sumX.value sample_name = name_fmt.format(sample=name, energy='%6.2f'%e, wax = wa, xbpm = '%4.3f'%bpm) sample_id(user_name='GF', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mv(energy, 2450)

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5455ebcc430ceab97bee5eae3b35ccb133680914

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py

Python

tests/api/v3_0_0/test_sponsor_group.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

36

2021-05-18T16:24:19.000Z

2022-03-05T13:44:41.000Z

tests/api/v3_0_0/test_sponsor_group.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

15

2021-06-08T19:03:37.000Z

2022-02-25T14:47:33.000Z

tests/api/v3_0_0/test_sponsor_group.py

CiscoISE/ciscoisesdk

860b0fc7cc15d0c2a39c64608195a7ab3d5f4885

[ "MIT" ]

6

2021-06-10T09:32:01.000Z

2022-01-12T08:34:39.000Z

# -*- coding: utf-8 -*- """IdentityServicesEngineAPI sponsor_group API fixtures and tests. Copyright (c) 2021 Cisco and/or its affiliates. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. """ import pytest from fastjsonschema.exceptions import JsonSchemaException from ciscoisesdk.exceptions import MalformedRequest from ciscoisesdk.exceptions import ciscoisesdkException from tests.environment import IDENTITY_SERVICES_ENGINE_VERSION pytestmark = pytest.mark.skipif(IDENTITY_SERVICES_ENGINE_VERSION != '3.0.0', reason='version does not match') def is_valid_get_sponsor_group_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_eaa0d7c339d152b688876c2e10f51fe7_v3_0_0').validate(obj.response) return True def get_sponsor_group_by_id(api): endpoint_result = api.sponsor_group.get_sponsor_group_by_id( id='string' ) return endpoint_result @pytest.mark.sponsor_group def test_get_sponsor_group_by_id(api, validator): try: assert is_valid_get_sponsor_group_by_id( validator, get_sponsor_group_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def get_sponsor_group_by_id_default(api): endpoint_result = api.sponsor_group.get_sponsor_group_by_id( id='string' ) return endpoint_result @pytest.mark.sponsor_group def test_get_sponsor_group_by_id_default(api, validator): try: assert is_valid_get_sponsor_group_by_id( validator, get_sponsor_group_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_update_sponsor_group_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_dfc44f7f24d153d789efa48e904b3832_v3_0_0').validate(obj.response) return True def update_sponsor_group_by_id(api): endpoint_result = api.sponsor_group.update_sponsor_group_by_id( active_validation=False, auto_notification=True, create_permissions={'canImportMultipleAccounts': True, 'importBatchSizeLimit': 0, 'canCreateRandomAccounts': True, 'randomBatchSizeLimit': 0, 'defaultUsernamePrefix': 'string', 'canSpecifyUsernamePrefix': True, 'canSetFutureStartDate': True, 'startDateFutureLimitDays': 0}, description='string', guest_types=['string'], id='string', is_default_group=True, is_enabled=True, locations=['string'], manage_permission='string', member_groups=['string'], name='string', other_permissions={'canUpdateGuestContactInfo': True, 'canViewGuestPasswords': True, 'canSendSmsNotifications': True, 'canResetGuestPasswords': True, 'canExtendGuestAccounts': True, 'canDeleteGuestAccounts': True, 'canSuspendGuestAccounts': True, 'requireSuspensionReason': True, 'canReinstateSuspendedAccounts': True, 'canApproveSelfregGuests': True, 'limitApprovalToSponsorsGuests': True, 'canAccessViaRest': True}, payload=None ) return endpoint_result @pytest.mark.sponsor_group def test_update_sponsor_group_by_id(api, validator): try: assert is_valid_update_sponsor_group_by_id( validator, update_sponsor_group_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def update_sponsor_group_by_id_default(api): endpoint_result = api.sponsor_group.update_sponsor_group_by_id( active_validation=False, id='string', auto_notification=None, create_permissions=None, description=None, guest_types=None, is_default_group=None, is_enabled=None, locations=None, manage_permission=None, member_groups=None, name=None, other_permissions=None, payload=None ) return endpoint_result @pytest.mark.sponsor_group def test_update_sponsor_group_by_id_default(api, validator): try: assert is_valid_update_sponsor_group_by_id( validator, update_sponsor_group_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_delete_sponsor_group_by_id(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_61c28a45acf05fec98879d8d2ac51129_v3_0_0').validate(obj.response) return True def delete_sponsor_group_by_id(api): endpoint_result = api.sponsor_group.delete_sponsor_group_by_id( id='string' ) return endpoint_result @pytest.mark.sponsor_group def test_delete_sponsor_group_by_id(api, validator): try: assert is_valid_delete_sponsor_group_by_id( validator, delete_sponsor_group_by_id(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def delete_sponsor_group_by_id_default(api): endpoint_result = api.sponsor_group.delete_sponsor_group_by_id( id='string' ) return endpoint_result @pytest.mark.sponsor_group def test_delete_sponsor_group_by_id_default(api, validator): try: assert is_valid_delete_sponsor_group_by_id( validator, delete_sponsor_group_by_id_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_get_sponsor_group(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_f1196f1f6fde5978b0522f096926d443_v3_0_0').validate(obj.response) return True def get_sponsor_group(api): endpoint_result = api.sponsor_group.get_sponsor_group( filter='value1,value2', filter_type='string', page=0, size=0, sortasc='string', sortdsc='string' ) return endpoint_result @pytest.mark.sponsor_group def test_get_sponsor_group(api, validator): try: assert is_valid_get_sponsor_group( validator, get_sponsor_group(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def get_sponsor_group_default(api): endpoint_result = api.sponsor_group.get_sponsor_group( filter=None, filter_type=None, page=None, size=None, sortasc=None, sortdsc=None ) return endpoint_result @pytest.mark.sponsor_group def test_get_sponsor_group_default(api, validator): try: assert is_valid_get_sponsor_group( validator, get_sponsor_group_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_create_sponsor_group(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_56311acd30d35ee2ae16ff23757de7d8_v3_0_0').validate(obj.response) return True def create_sponsor_group(api): endpoint_result = api.sponsor_group.create_sponsor_group( active_validation=False, auto_notification=True, create_permissions={'canImportMultipleAccounts': True, 'importBatchSizeLimit': 0, 'canCreateRandomAccounts': True, 'randomBatchSizeLimit': 0, 'defaultUsernamePrefix': 'string', 'canSpecifyUsernamePrefix': True, 'canSetFutureStartDate': True, 'startDateFutureLimitDays': 0}, description='string', guest_types=['string'], is_default_group=True, is_enabled=True, locations=['string'], manage_permission='string', member_groups=['string'], name='string', other_permissions={'canUpdateGuestContactInfo': True, 'canViewGuestPasswords': True, 'canSendSmsNotifications': True, 'canResetGuestPasswords': True, 'canExtendGuestAccounts': True, 'canDeleteGuestAccounts': True, 'canSuspendGuestAccounts': True, 'requireSuspensionReason': True, 'canReinstateSuspendedAccounts': True, 'canApproveSelfregGuests': True, 'limitApprovalToSponsorsGuests': True, 'canAccessViaRest': True}, payload=None ) return endpoint_result @pytest.mark.sponsor_group def test_create_sponsor_group(api, validator): try: assert is_valid_create_sponsor_group( validator, create_sponsor_group(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def create_sponsor_group_default(api): endpoint_result = api.sponsor_group.create_sponsor_group( active_validation=False, auto_notification=None, create_permissions=None, description=None, guest_types=None, is_default_group=None, is_enabled=None, locations=None, manage_permission=None, member_groups=None, name=None, other_permissions=None, payload=None ) return endpoint_result @pytest.mark.sponsor_group def test_create_sponsor_group_default(api, validator): try: assert is_valid_create_sponsor_group( validator, create_sponsor_group_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e def is_valid_get_version(json_schema_validate, obj): if not obj: return False assert hasattr(obj, 'headers') assert hasattr(obj, 'content') assert hasattr(obj, 'text') assert hasattr(obj, 'response') json_schema_validate('jsd_e8d4001b740751e08cfc19e1fdc5fddf_v3_0_0').validate(obj.response) return True def get_version(api): endpoint_result = api.sponsor_group.get_version( ) return endpoint_result @pytest.mark.sponsor_group def test_get_version(api, validator): try: assert is_valid_get_version( validator, get_version(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest)): print("ERROR: {error}".format(error=original_e)) raise original_e def get_version_default(api): endpoint_result = api.sponsor_group.get_version( ) return endpoint_result @pytest.mark.sponsor_group def test_get_version_default(api, validator): try: assert is_valid_get_version( validator, get_version_default(api) ) except Exception as original_e: with pytest.raises((JsonSchemaException, MalformedRequest, TypeError)): raise original_e

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425

0.711008

1,490

12,990

5.911409

0.145638

0.108992

0.052452

0.059946

0.821866

0.820504

0.818801

0.814941

0.811989

0.796776

0

0.015076

0.208545

12,990

390

426

33.307692

0.84165

0.089222

0

0.703947

0

0.134303

0.089479

0

0.118421

1

0.098684

false

0.006579

0.023026

0

0.200658

0.019737

0

null

0

1

0

1

0

null

0

7

54bd4be82b2a42329aede2359d2d5d9f389c156d

7,026

py

Python

pdf_ocr.py

im47cn/pdfOCR

b8ce65c62752824046607b95d21c741e97f634f0

[ "Apache-2.0" ]

null

pdf_ocr.py

im47cn/pdfOCR

b8ce65c62752824046607b95d21c741e97f634f0

[ "Apache-2.0" ]

null

pdf_ocr.py

im47cn/pdfOCR

b8ce65c62752824046607b95d21c741e97f634f0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- import os import fitz import time from paddleocr import PaddleOCR, draw_ocr def pdf2png_tbo(pdfPath, imgPath, zoom_x=2, zoom_y=2, rotation_angle=0): ''' # 将PDF转化为图片 pdfPath pdf文件的路径 imgPath 图像要保存的文件夹 zoom_x x方向的缩放系数 zoom_y y方向的缩放系数 rotation_angle 旋转角度 ''' time_start = time.time() # 打开PDF文件 pdf = fitz.open(pdfPath) files = [] # 逐页读取PDF for pg in range(0, pdf.pageCount): page = pdf[pg] # 删除图片 img_list = page.get_images() for img in img_list: pdf._deleteObject(img[0]) # 设置缩放和旋转系数 trans = fitz.Matrix(zoom_x, zoom_y) # pm = page.get_pixmap(matrix=trans, alpha=False) # if pm.width > 2000 or pm.height > 2000: # pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False) # pm.save(imgPath + str(pg) + ".jpeg") # tbo No. clip1 = fitz.Rect(515, 86, 558, 100) pm1 = page.get_pixmap(matrix=trans, clip=clip1, alpha=False) file1 = imgPath + str(pg) + "-1.jpeg" files.append(file1) pm1.save(file1) # tbo Issues by clip2 = fitz.Rect(380, 105, 558, 119) # clip2 = fitz.Rect(37, 256, 280, 269) pm2 = page.get_pixmap(matrix=trans, clip=clip2, alpha=False) file2 = imgPath + str(pg) + "-2.jpeg" files.append(file2) pm2.save(file2) # tbo payment clip3 = fitz.Rect(450, 255, 558, 285) pm3 = page.get_pixmap(matrix=trans, clip=clip3, alpha=False) file3 = imgPath + str(pg) + "-3.jpeg" files.append(file3) pm3.save(file3) pdf.close() time_end = time.time() time_cost = time_end - time_start print('totally cost: {}, page: {}, each page cost: {}'.format( time_cost, pg + 1, time_cost / (pg + 1))) return files def pdf2png_exp(pdfPath, imgPath, zoom_x=2, zoom_y=2, rotation_angle=0): ''' # 将PDF转化为图片 pdfPath pdf文件的路径 imgPath 图像要保存的文件夹 zoom_x x方向的缩放系数 zoom_y y方向的缩放系数 rotation_angle 旋转角度 ''' time_start = time.time() # 打开PDF文件 pdf = fitz.open(pdfPath) files = [] # 逐页读取PDF for pg in range(0, pdf.pageCount): page = pdf[pg] # 删除图片 img_list = page.get_images() for img in img_list: pdf._deleteObject(img[0]) # 设置缩放和旋转系数 trans = fitz.Matrix(zoom_x, zoom_y) # pm = page.get_pixmap(matrix=trans, alpha=False) # if pm.width > 2000 or pm.height > 2000: # pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False) # pm.save(imgPath + str(pg) + ".jpeg") # exp No. clip1 = fitz.Rect(160, 180, 440, 205) pm1 = page.get_pixmap(matrix=trans, clip=clip1, alpha=False) file1 = imgPath + str(pg) + "-1.jpeg" files.append(file1) pm1.save(file1) # exp payment clip2 = fitz.Rect(460, 440, 535, 465) pm2 = page.get_pixmap(matrix=trans, clip=clip2, alpha=False) file2 = imgPath + str(pg) + "-2.jpeg" files.append(file2) pm2.save(file2) pdf.close() time_end = time.time() time_cost = time_end - time_start print('totally cost: {}, page: {}, each page cost: {}'.format( time_cost, pg + 1, time_cost / (pg + 1))) return files def pdf2png_agoda(pdfPath, imgPath, zoom_x=2, zoom_y=2, rotation_angle=0): ''' # 将PDF转化为图片 pdfPath pdf文件的路径 imgPath 图像要保存的文件夹 zoom_x x方向的缩放系数 zoom_y y方向的缩放系数 rotation_angle 旋转角度 ''' time_start = time.time() # 打开PDF文件 pdf = fitz.open(pdfPath) files = [] # 逐页读取PDF for pg in range(0, pdf.pageCount): page = pdf[pg] # 删除图片 img_list = page.get_images() for img in img_list: pdf._deleteObject(img[0]) # 设置缩放和旋转系数 trans = fitz.Matrix(zoom_x, zoom_y) pm = page.get_pixmap(matrix=trans, alpha=False) if pm.width > 2000 or pm.height > 2000: pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False) pm.save(imgPath + str(pg) + ".jpeg") # agoda No. clip1 = fitz.Rect(160, 180, 440, 205) pm1 = page.get_pixmap(matrix=trans, clip=clip1, alpha=False) file1 = imgPath + str(pg) + "-1.jpeg" files.append(file1) pm1.save(file1) # agoda payment clip2 = fitz.Rect(460, 440, 535, 465) pm2 = page.get_pixmap(matrix=trans, clip=clip2, alpha=False) file2 = imgPath + str(pg) + "-2.jpeg" files.append(file2) pm2.save(file2) pdf.close() time_end = time.time() time_cost = time_end - time_start print('totally cost: {}, page: {}, each page cost: {}'.format( time_cost, pg + 1, time_cost / (pg + 1))) return files def pdf2png_agoda2(pdfPath, imgPath, zoom_x=2, zoom_y=2, rotation_angle=0): ''' # 将PDF转化为图片 pdfPath pdf文件的路径 imgPath 图像要保存的文件夹 zoom_x x方向的缩放系数 zoom_y y方向的缩放系数 rotation_angle 旋转角度 ''' time_start = time.time() # 打开PDF文件 pdf = fitz.open(pdfPath) files = [] # 逐页读取PDF for pg in range(0, pdf.pageCount): page = pdf[pg] # 删除图片 img_list = page.get_images() for img in img_list: pdf._deleteObject(img[0]) # 设置缩放和旋转系数 trans = fitz.Matrix(zoom_x, zoom_y) # pm = page.get_pixmap(matrix=trans, alpha=False) # if pm.width > 2000 or pm.height > 2000: # pm = page.get_pixmap(matrix=fitz.Matrix(1, 1), alpha=False) # pm.save(imgPath + str(pg) + ".jpeg") # agoda No. clip1 = fitz.Rect(140, 95, 200, 110) pm1 = page.get_pixmap(matrix=trans, clip=clip1, alpha=False) file1 = imgPath + str(pg) + "-1.jpeg" files.append(file1) pm1.save(file1) # agoda payment clip2 = fitz.Rect(205, 436, 290, 446) pm2 = page.get_pixmap(matrix=trans, clip=clip2, alpha=False) file2 = imgPath + str(pg) + "-2.jpeg" files.append(file2) pm2.save(file2) pdf.close() time_end = time.time() time_cost = time_end - time_start print('totally cost: {}, page: {}, each page cost: {}'.format( time_cost, pg + 1, time_cost / (pg + 1))) return files if __name__ == '__main__': ocr = PaddleOCR( # det_model_dir='./PaddleOCR/output/ch_db_mv3_inference/inference', use_angle_cls=False, use_gpu=False, language_type='en') pdfFolder = '../agoda2' for p in os.listdir(pdfFolder): if p[-4:] == '.pdf': pdfPath = pdfFolder + '/' + p imgPath = p[:-4] # imgPath = pdfFolder+'/'+os.path.basename(p)[:-4]+'/' # os.mkdir(imgPath) files = pdf2png_agoda2(pdfPath, imgPath) for file in files: result = ocr.ocr(file, cls=False) print(result[0][1])

27.880952

82

0.561771

914

7,026

4.191466

0.157549

0.038371

0.057687

0.084312

0.833986

0.826677

0

0.056254

0.30928

7,026

251

83

27.992032

0.733155

0.200968

0

0.732824

0

0.050819

0

1

0.030534

false

0

0.030534

0

0.091603

0.038168

0

null

0

1

0

1

0

null

0

7

54c0f339696f8692840ba44f55fc9be7f91836e4

299

py

Python

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core/views.py

pythdasch/cookiecutter-django

c998afe16cc7632af329e623d29e7fb7e6b3795a

[ "BSD-3-Clause" ]

null

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core/views.py

pythdasch/cookiecutter-django

c998afe16cc7632af329e623d29e7fb7e6b3795a

[ "BSD-3-Clause" ]

null

{{cookiecutter.project_slug}}/{{cookiecutter.project_slug}}/core/views.py

pythdasch/cookiecutter-django

c998afe16cc7632af329e623d29e7fb7e6b3795a

[ "BSD-3-Clause" ]

null

from django.contrib.auth import get_user_model from django.contrib.auth.mixins import LoginRequiredMixin from django.urls import reverse from django.views.generic import DetailView, RedirectView, UpdateView from django.contrib import messages from django.utils.translation import ugettext_lazy as _

42.714286

69

0.862876

41

299

6.195122

0.560976

0.23622

0.200787

0.165354

0

0.093645

299

6

70

49.833333

0.937269

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

54c51b24b61f37011b617fdccb5bb0d0fd562013

1,752

py

Python

depend.py

Google1234/NLP

393ed1131c07ca55aaadf144b74251a466b3d418

[ "Apache-2.0" ]

1

2016-07-05T13:11:18.000Z

depend.py

Google1234/NLP

393ed1131c07ca55aaadf144b74251a466b3d418

[ "Apache-2.0" ]

null

depend.py

Google1234/NLP

393ed1131c07ca55aaadf144b74251a466b3d418

[ "Apache-2.0" ]

null

#-*- coding: UTF-8 -*- class quick_sort(): a=[] def __init__(self,data): self.a=data[:] def sort(self,left,right): if left!=right: mid=left+int((right-left)/2) self.sort(left,mid) self.sort(mid+1,right) b=[] i=0 for i in range(left,mid+1): b.append(self.a[i]) b.append('zz') i=0 for i in range(mid+1,right+1): b.append(self.a[i]) b.append('zz') i=j=0 k=mid-left+2 for i in range(left,right+1): if b[j]>b[k]: value=b[k] k+=1 else: value=b[j] j+=1 self.a[i]=value return self.a def show(self): print(self.a) class quick_sort_Multidimensional_Data(): a=[] def __init__(self,data): self.a=data[:] def sort(self,left,right): if left!=right: mid=left+int((right-left)/2) self.sort(left,mid) self.sort(mid+1,right) b=[] i=0 for i in range(left,mid+1): b.append(self.a[i]) b.append(['',10]) i=0 for i in range(mid+1,right+1): b.append(self.a[i]) b.append(['',10]) i=j=0 k=mid-left+2 for i in range(left,right+1): if b[j][0]>b[k][0]: value=b[k] k+=1 else: value=b[j] j+=1 self.a[i]=value return self.a def show(self): print(self.a)

26.953846

42

0.384703

233

1,752

2.841202

0.150215

0.090634

0.054381

0.099698

0.903323

0

0.033514

0.472032

1,752

65

43

26.953846

0.682162

0.011986

0

0.935484

0

0.002311

0

1

0.096774

false

0

0.193548

0.032258

0

null

0

1

0

1

0

null

0

7

3f7730e63139c8af678a4948c000165bd6e5b7b3

7,501

py

Python

tests/test_crystal.py

davidtangGT/mol2vector

081f06eca5d66279853c24bf2de698edee689261

[ "MIT" ]

57

2017-03-17T02:41:20.000Z

2022-02-21T04:29:26.000Z

tests/test_crystal.py

davidtangGT/mol2vector

081f06eca5d66279853c24bf2de698edee689261

[ "MIT" ]

7

2019-05-23T18:32:40.000Z

2020-10-13T20:43:46.000Z

tests/test_crystal.py

davidtangGT/mol2vector

081f06eca5d66279853c24bf2de698edee689261

[ "MIT" ]

20

2017-03-17T02:41:53.000Z

2020-10-07T07:06:20.000Z

import unittest import numpy from molml.molecule import Connectivity from molml.crystal import GenerallizedCrystal from molml.crystal import EwaldSumMatrix, SineMatrix H_ELES = ['H'] H_NUMS = [1] H_COORDS = numpy.array([[0.0, 0.0, 0.0]]) H_UNIT = numpy.array([ [2., .5, 0.], [.25, 1., 0.], [0., .3, 1.], ]) H_INPUT = ("elements", "coords", "unit_cell") H = (H_ELES, H_COORDS, H_UNIT) H2_ELES = ['H', 'H'] H2_NUMS = [1, 1] H2_COORDS = numpy.array([ [0.0, 0.0, 0.0], [1.0, 0.0, 0.0], ]) H2_CONNS = { 0: {1: '1'}, 1: {0: '1'}, } H2_UNIT = numpy.array([ [2., .5, 0.], [.25, 1., 0.], [0., .3, 1.], ]) H2 = (H2_ELES, H2_COORDS, H2_UNIT) class GenerallizedCrystalTest(unittest.TestCase): def test_fit(self): t = Connectivity(input_type=H_INPUT) a = GenerallizedCrystal(transformer=t, radius=2.5) a.fit([H]) self.assertEqual(a.transformer.get_labels(), ('H', )) def test_transform(self): t = Connectivity(input_type=H_INPUT) a = GenerallizedCrystal(transformer=t, radius=2.5) a.fit([H]) res = a.transform([H]) self.assertEqual(res, numpy.array([[37]])) def test_transform_before_fit(self): t = Connectivity(input_type=H_INPUT) a = GenerallizedCrystal(transformer=t, radius=2.5) with self.assertRaises(ValueError): a.transform([H]) def test_fit_transform(self): t = Connectivity(input_type=H_INPUT) a = GenerallizedCrystal(transformer=t, radius=2.5) res = a.fit_transform([H]) self.assertEqual(res, numpy.array([[37]])) def test_radius_and_units(self): t = Connectivity(input_type=H_INPUT) with self.assertRaises(ValueError): GenerallizedCrystal(transformer=t, radius=2.5, units=2) class EwaldSumMatrixCrystalTest(unittest.TestCase): def test_fit(self): a = EwaldSumMatrix() a.fit([(H2_ELES, H2_COORDS)]) self.assertEqual(a._max_size, 2) def test_transform(self): a = EwaldSumMatrix(input_type=H_INPUT) a.fit([H2]) res = a.transform([H2]) expected = numpy.array([[-1.68059225, 0.94480435, 0.94480435, -1.68059225]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_G_max(self): a = EwaldSumMatrix(input_type=H_INPUT, G_max=2) a.fit([H2]) res = a.transform([H2]) expected = numpy.array([[-1.68059225, 0.945167, 0.945167, -1.68059225]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_L_max(self): a = EwaldSumMatrix(input_type=H_INPUT, L_max=2) a.fit([H2]) res = a.transform([H2]) expected = numpy.array([[-1.68059225, 0.43748, 0.43748, -1.68059225]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_small_to_large_transform(self): a = EwaldSumMatrix(input_type=H_INPUT) a.fit([H]) with self.assertRaises(ValueError): a.transform([H2]) def test_large_to_small_transform(self): a = EwaldSumMatrix(input_type=H_INPUT) a.fit([(H2_ELES, H2_COORDS, H2_UNIT)]) res = a.transform([H]) expected = numpy.array([[-1.944276, 0., 0., 0.]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_transform_before_fit(self): a = EwaldSumMatrix() with self.assertRaises(ValueError): a.transform([H]) def test_fit_transform(self): a = EwaldSumMatrix(input_type=H_INPUT) res = a.fit_transform([H2]) expected = numpy.array([[-1.68059225, 0.94480435, 0.94480435, -1.68059225]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_sort(self): a = EwaldSumMatrix(input_type=H_INPUT, sort=True) res = a.fit_transform([H2]) expected = numpy.array([[-1.68059225, 0.94480435, 0.94480435, -1.68059225]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_eigen(self): a = EwaldSumMatrix(input_type=H_INPUT, eigen=True) res = a.fit_transform([H2]) expected = numpy.array([[-0.735788, -2.625397]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) class SineMatrixTest(unittest.TestCase): def test_fit(self): a = SineMatrix() a.fit([(H2_ELES, H2_COORDS)]) self.assertEqual(a._max_size, 2) def test_transform(self): a = SineMatrix(input_type=H_INPUT) a.fit([H2]) res = a.transform([H2]) expected = numpy.array([[0.5, 0.475557, 0.475557, 0.5]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_small_to_large_transform(self): a = SineMatrix(input_type=H_INPUT) a.fit([H]) with self.assertRaises(ValueError): a.transform([H2]) def test_large_to_small_transform(self): a = SineMatrix(input_type=H_INPUT) a.fit([H2]) res = a.transform([H]) expected = numpy.array([[0.5, 0., 0., 0.]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_transform_before_fit(self): a = SineMatrix() with self.assertRaises(ValueError): a.transform([H]) def test_fit_transform(self): a = SineMatrix(input_type=H_INPUT) res = a.fit_transform([H2]) expected = numpy.array([[0.5, 0.475557, 0.475557, 0.5]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_sort(self): a = SineMatrix(input_type=H_INPUT, sort=True) res = a.fit_transform([H2]) expected = numpy.array([[0.5, 0.475557, 0.475557, 0.5]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) def test_eigen(self): a = SineMatrix(input_type=H_INPUT, eigen=True) res = a.fit_transform([H2]) expected = numpy.array([[0.975557, 0.024443]]) try: numpy.testing.assert_array_almost_equal( res, expected) except AssertionError as e: self.fail(e) if __name__ == '__main__': unittest.main()

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0

1

0

1

0

null

0

7

3fd7cbdeddb359ba677ec43426fa7ed1dcddbb98

6,088

py

Python

libs/fully_connected_opt_weight_generation.py

achenbachsven/learningSkript

7af067cbf0c8d7eed010806923f8af2e38977be2

[ "BSD-3-Clause" ]

null

libs/fully_connected_opt_weight_generation.py

achenbachsven/learningSkript

7af067cbf0c8d7eed010806923f8af2e38977be2

[ "BSD-3-Clause" ]

3

2020-03-24T15:59:06.000Z

2022-02-10T01:53:37.000Z

libs/fully_connected_opt_weight_generation.py

achenbachsven/learningSkript

7af067cbf0c8d7eed010806923f8af2e38977be2

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python import numpy as np def convert_to_x4_q7_weights(weights): [r, h, w, c] = weights.shape weights = np.reshape(weights, (r, h*w*c)) num_of_rows = r num_of_cols = h*w*c new_weights = np.copy(weights) new_weights = np.reshape(new_weights, (r*h*w*c)) counter = 0 for i in range(int(num_of_rows/4)): # we only need to do the re-ordering for every 4 rows row_base = 4*i for j in range(int(num_of_cols/4)): # for each 4 entries column_base = 4*j new_weights[counter] = weights[row_base ][column_base ] new_weights[counter+1] = weights[row_base+1][column_base ] new_weights[counter+2] = weights[row_base ][column_base+2] new_weights[counter+3] = weights[row_base+1][column_base+2] new_weights[counter+4] = weights[row_base+2][column_base ] new_weights[counter+5] = weights[row_base+3][column_base ] new_weights[counter+6] = weights[row_base+2][column_base+2] new_weights[counter+7] = weights[row_base+3][column_base+2] new_weights[counter+8] = weights[row_base ][column_base+1] new_weights[counter+9] = weights[row_base+1][column_base+1] new_weights[counter+10] = weights[row_base ][column_base+3] new_weights[counter+11] = weights[row_base+1][column_base+3] new_weights[counter+12] = weights[row_base+2][column_base+1] new_weights[counter+13] = weights[row_base+3][column_base+1] new_weights[counter+14] = weights[row_base+2][column_base+3] new_weights[counter+15] = weights[row_base+3][column_base+3] counter = counter + 16 # the remaining ones are in order for j in range((int)(num_of_cols-num_of_cols%4), int(num_of_cols)): new_weights[counter] = weights[row_base][j] new_weights[counter+1] = weights[row_base+1][j] new_weights[counter+2] = weights[row_base+2][j] new_weights[counter+3] = weights[row_base+3][j] counter = counter + 4 return new_weights.reshape(r, h) def convert_to_x4_q15_weights(weights): [r, h, w, c] = weights.shape weights = np.reshape(weights, (r, h*w*c)) num_of_rows = r num_of_cols = h*w*c new_weights = np.copy(weights) new_weights = np.reshape(new_weights, (r*h*w*c)) counter = 0 for i in range(int(num_of_rows/4)): # we only need to do the re-ordering for every 4 rows row_base = 4*i for j in range(int(num_of_cols/4)): # for each 2 entries column_base = 2*j new_weights[counter] = weights[row_base ][column_base ] new_weights[counter+1] = weights[row_base ][column_base+1] new_weights[counter+2] = weights[row_base+1][column_base ] new_weights[counter+3] = weights[row_base+1][column_base+1] new_weights[counter+4] = weights[row_base+2][column_base ] new_weights[counter+5] = weights[row_base+2][column_base+1] new_weights[counter+6] = weights[row_base+3][column_base ] new_weights[counter+7] = weights[row_base+3][column_base+1] counter = counter + 8 # the remaining ones are in order for j in range((int)(num_of_cols-num_of_cols%2), int(num_of_cols)): new_weights[counter] = weights[row_base][j] new_weights[counter+1] = weights[row_base+1][j] new_weights[counter+2] = weights[row_base+2][j] new_weights[counter+3] = weights[row_base+3][j] counter = counter + 4 return new_weights.reshape(r, h) def convert_q7_q15_weights(weights): [r, h, w, c] = weights.shape weights = np.reshape(weights, (r, h*w*c)) num_of_rows = r num_of_cols = h*w*c new_weights = np.copy(weights) new_weights = np.reshape(new_weights, (r*h*w*c)) counter = 0 for i in range(int(num_of_rows/4)): # we only need to do the re-ordering for every 4 rows row_base = 4*i for j in range(int(num_of_cols/4)): # for each 2 entries column_base = 2*j new_weights[counter] = weights[row_base ][column_base ] new_weights[counter+1] = weights[row_base+1][column_base ] new_weights[counter+2] = weights[row_base ][column_base+1] new_weights[counter+3] = weights[row_base+1][column_base+1] new_weights[counter+4] = weights[row_base+2][column_base ] new_weights[counter+5] = weights[row_base+3][column_base ] new_weights[counter+6] = weights[row_base+2][column_base+1] new_weights[counter+7] = weights[row_base+3][column_base+1] counter = counter + 8 # the remaining ones are in order for j in range((int)(num_of_cols-num_of_cols%2), int(num_of_cols)): new_weights[counter] = weights[row_base][j] new_weights[counter+1] = weights[row_base+1][j] new_weights[counter+2] = weights[row_base+2][j] new_weights[counter+3] = weights[row_base+3][j] counter = counter + 4 return new_weights.reshape(r, h) if __name__ == "__main__": # input dimensions vec_dim = 127 row_dim = 127 weight = np.zeros((row_dim,vec_dim), dtype=int) # generate random inputs for i in range(row_dim): for j in range(vec_dim): weight[i][j] = np.random.randint(256)-128 weight = np.reshape(weight, (row_dim, vec_dim, 1, 1)) outfile = open("../Ref_Implementations/fully_connected_testing_weights.h", "w") outfile.write("#define IP2_WEIGHT {") weight.tofile(outfile,sep=",",format="%d") outfile.write("}\n\n") new_weight = convert_to_x4_q7_weights(weight) outfile.write("#define IP4_WEIGHT {") new_weight.tofile(outfile,sep=",",format="%d") outfile.write("}\n\n") new_weight = convert_q7_q15_weights(weight) outfile.write("#define IP4_q7_q15_WEIGHT {") new_weight.tofile(outfile,sep=",",format="%d") outfile.write("}\n\n") new_weight = convert_to_x4_q15_weights(weight) outfile.write("#define IP4_WEIGHT_Q15 {") new_weight.tofile(outfile,sep=",",format="%d") outfile.write("}\n\n") outfile.close()

40.586667

83

0.64931

964

6,088

3.856846

0.106846

0.150619

0.201183

0.058096

0.895643

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0.800968

0.768424

0

0.034974

0.21567

6,088

149

84

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0

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0

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false

0

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0

null

0

1

0

1

0

null

0

7

3fe8590f0de37e670e206f9cfe46d5785e6ac0a9

631

py

Python

electricity_api/models.py

gbakthavatchalam/electricity-api

5f8e8c9a813ffc059db8fb39d4022fb9a00f216b

[ "Apache-2.0" ]

null

electricity_api/models.py

gbakthavatchalam/electricity-api

5f8e8c9a813ffc059db8fb39d4022fb9a00f216b

[ "Apache-2.0" ]

null

electricity_api/models.py

gbakthavatchalam/electricity-api

5f8e8c9a813ffc059db8fb39d4022fb9a00f216b

[ "Apache-2.0" ]

null

from django.db import models class Days(models.Model): class Meta: db_table = "days" day_id = models.IntegerField(primary_key=True) user_id = models.IntegerField() timestamp_raw = models.TextField(db_column="timestamp") consumption = models.IntegerField() temperature = models.IntegerField() class Months(models.Model): class Meta: db_table = "months" month_id = models.IntegerField(primary_key=True) user_id = models.IntegerField() timestamp_raw = models.TextField(db_column="timestamp") consumption = models.IntegerField() temperature = models.IntegerField()

26.291667

59

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71

631

6.140845

0.352113

0.330275

0.183486

0.091743

0.857798

0.733945

0

0.187005

631

23

60

27.434783

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0

0.588235

0

0.044374

0

1

0

false

0

0.058824

0

0.882353

0

null

1

0

1

0

null

0

8

3fef40fcd20ff41a32204e723549c85b6402b10b

9,762

py

Python

robotframework-onap/tests/ONAPLibrary/JSONKeywordsTest.py

onap/testsuite-python-testing-utils

84d2f0e4e68862b8cbfd5b1aec7fea747507d501

[ "Apache-2.0" ]

2

2019-04-30T23:50:46.000Z

2019-05-22T13:45:42.000Z

robotframework-onap/tests/ONAPLibrary/JSONKeywordsTest.py

onap/testsuite-python-testing-utils

84d2f0e4e68862b8cbfd5b1aec7fea747507d501

[ "Apache-2.0" ]

null

robotframework-onap/tests/ONAPLibrary/JSONKeywordsTest.py

onap/testsuite-python-testing-utils

84d2f0e4e68862b8cbfd5b1aec7fea747507d501

[ "Apache-2.0" ]

1

2021-10-15T15:32:51.000Z

# Copyright 2019 Samsung Electronics Co., Ltd. # # 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. import json from unittest import TestCase from ONAPLibrary.JSONKeywords import JSONKeywords class JSONKeywordsTest(TestCase): content_empty_string = '{}' content_empty_dict = {} content1_string = '{"foo": "bar"}' content1_dict = {"foo": u"bar"} content1b_string = '{"foo": "quuz"}' content1b_dict = {"foo": u"quuz"} content2_string = '{"baz": "quuz"}' content2_dict = {"baz": u"quuz"} content_big_string = '{"foo": "bar", "baz": "quuz"}' content_big_dict = {"foo": u"bar", "baz": u"quuz"} def setUp(self): self.jk = JSONKeywords() # equality - corner cases def test_json_empty_strings_equality(self): left_json_string = JSONKeywordsTest.content_empty_string right_json_string = JSONKeywordsTest.content_empty_string self.assertTrue(self.jk.json_equals(left_json_string, right_json_string)) def test_json_empty_objects_equality(self): left_json_object = JSONKeywordsTest.content_empty_dict right_json_object = JSONKeywordsTest.content_empty_dict self.assertTrue(self.jk.json_equals(left_json_object, right_json_object)) # equality - type conversions def test_json_strings_equality(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_equals(left_json_string, right_json_string)) def test_json_objects_equality(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_equals(left_json_object, right_json_object)) def test_json_string_object_equality(self): left_json_string = JSONKeywordsTest.content1_string right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_equals(left_json_string, right_json_object)) def test_json_object_string_equality(self): left_json_object = JSONKeywordsTest.content1_dict right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_equals(left_json_object, right_json_string)) # equality - difference detection def test_json_strings_inequality(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content2_string self.assertFalse(self.jk.json_equals(left_json_string, right_json_string)) def test_json_objects_inequality(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content2_dict self.assertFalse(self.jk.json_equals(left_json_object, right_json_object)) def test_json_string_object_inequality(self): left_json_string = JSONKeywordsTest.content1_string right_json_object = JSONKeywordsTest.content2_dict self.assertFalse(self.jk.json_equals(left_json_string, right_json_object)) def test_json_object_string_inequality(self): left_json_object = JSONKeywordsTest.content1_dict right_json_string = JSONKeywordsTest.content2_string self.assertFalse(self.jk.json_equals(left_json_object, right_json_string)) # subsets - corner cases def test_json_empty_strings_subset(self): left_json_string = JSONKeywordsTest.content_empty_string right_json_string = JSONKeywordsTest.content_empty_string self.assertTrue(self.jk.json_should_contain_sub_json(left_json_string, right_json_string)) def test_json_empty_objects_subset(self): left_json_object = JSONKeywordsTest.content_empty_dict right_json_object = JSONKeywordsTest.content_empty_dict self.assertTrue(self.jk.json_should_contain_sub_json(left_json_object, right_json_object)) # subsets - type conversions def test_json_strings_subset(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_should_contain_sub_json(left_json_string, right_json_string)) def test_json_objects_subset(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_should_contain_sub_json(left_json_object, right_json_object)) def test_json_string_object_subset(self): left_json_string = JSONKeywordsTest.content1_string right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_should_contain_sub_json(left_json_string, right_json_object)) def test_json_object_string_subset(self): left_json_object = JSONKeywordsTest.content1_dict right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_should_contain_sub_json(left_json_object, right_json_string)) # subsets - inclusion def test_json_strings_proper_subset(self): left_json_string = JSONKeywordsTest.content_big_string right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_should_contain_sub_json(left_json_string, right_json_string)) def test_json_objects_proper_subset(self): left_json_object = JSONKeywordsTest.content_big_dict right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_should_contain_sub_json(left_json_object, right_json_object)) def test_json_string_object_proper_subset(self): left_json_string = JSONKeywordsTest.content_big_string right_json_object = JSONKeywordsTest.content1_dict self.assertTrue(self.jk.json_should_contain_sub_json(left_json_string, right_json_object)) def test_json_object_string_proper_subset(self): left_json_object = JSONKeywordsTest.content_big_dict right_json_string = JSONKeywordsTest.content1_string self.assertTrue(self.jk.json_should_contain_sub_json(left_json_object, right_json_string)) # subsets - intersection def test_json_strings_intersection(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content_big_string self.assertFalse(self.jk.json_should_contain_sub_json(left_json_string, right_json_string)) def test_json_objects_intersection(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content_big_dict self.assertFalse(self.jk.json_should_contain_sub_json(left_json_object, right_json_object)) def test_json_string_object_intersection(self): left_json_string = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content_big_string self.assertFalse(self.jk.json_should_contain_sub_json(left_json_string, right_json_object)) def test_json_object_string_intersection(self): left_json_object = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content_big_dict self.assertFalse(self.jk.json_should_contain_sub_json(left_json_object, right_json_string)) # subsets - exclusion def test_json_strings_exclusion(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content2_string self.assertFalse(self.jk.json_equals(left_json_string, right_json_string)) def test_json_objects_exclusion(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content2_dict self.assertFalse(self.jk.json_equals(left_json_object, right_json_object)) def test_json_string_object_exclusion(self): left_json_string = JSONKeywordsTest.content1_string right_json_object = JSONKeywordsTest.content2_dict self.assertFalse(self.jk.json_equals(left_json_string, right_json_object)) def test_json_object_string_exclusion(self): left_json_object = JSONKeywordsTest.content1_dict right_json_string = JSONKeywordsTest.content2_string self.assertFalse(self.jk.json_equals(left_json_object, right_json_string)) # subsets - value change detection def test_json_strings_changed_value(self): left_json_string = JSONKeywordsTest.content1_string right_json_string = JSONKeywordsTest.content1b_string self.assertFalse(self.jk.json_equals(left_json_string, right_json_string)) def test_json_objects_changed_value(self): left_json_object = JSONKeywordsTest.content1_dict right_json_object = JSONKeywordsTest.content1b_dict self.assertFalse(self.jk.json_equals(left_json_object, right_json_object)) def test_json_string_object_changed_value(self): left_json_string = JSONKeywordsTest.content1_string right_json_object = JSONKeywordsTest.content1b_dict self.assertFalse(self.jk.json_equals(left_json_string, right_json_object)) def test_json_object_string_changed_value(self): left_json_object = JSONKeywordsTest.content1_dict right_json_string = JSONKeywordsTest.content1b_string self.assertFalse(self.jk.json_equals(left_json_object, right_json_string))

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0.050085

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100

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0.847961

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null

0

1

0

7

b2092a0dd4d5965d46c3866ca3cf0f46f54a9264

416,844

py

Python

1andi.py

Fahsaiiii2608/tk

44b4a14de11a328a9fa2ca6d0c23b1f52850adff

[ "MIT" ]

null

1andi.py

Fahsaiiii2608/tk

44b4a14de11a328a9fa2ca6d0c23b1f52850adff

[ "MIT" ]

null

1andi.py

Fahsaiiii2608/tk

44b4a14de11a328a9fa2ca6d0c23b1f52850adff

[ "MIT" ]

2

2018-11-04T11:17:46.000Z

2019-01-20T14:10:48.000Z

# -*- coding: utf-8 -*- import LINETCR from LINETCR.lib.curve.ttypes import * from datetime import datetime from bs4 import BeautifulSoup from threading import Thread from googletrans import Translator import requests from io import StringIO from threading import Thread from urllib import urlopen from gtts import gTTS import time,random,sys,json,codecs,threading,glob,urllib,urllib2,urllib3,re,ast,os,subprocess,requests,wikipedia,tempfile cl = LINETCR.LINE() cl.login(token="") cl.loginResult() print u"login success" reload(sys) sys.setdefaultencoding('utf-8') myhelpMessage ="""──────┅═ই۝ई═┅────── ╔════════════════ ╠==[ DAENG TEAM BOT ]== ╚════════════════ ──────┅═ই۝ई═┅────── 🄲🄾🄼🄼🄰🄽🄳 🄷🄴🄻🄿 ──────┅═ই۝ई═┅────── ❂͜͡☆➣ ╠Id ❂͜͡☆➣ ╠Cek @ ❂͜͡☆➣ ╠Mid @ ❂͜͡☆➣ ╠Gn: ❂͜͡☆➣ ╠Gname: ❂͜͡☆➣ ╠Cancel ❂͜͡☆➣ ╠tagmem ❂͜͡☆➣ ╠Halo ❂͜͡☆➣ ╠Hola ❂͜͡☆➣ ╠Tag all ❂͜͡☆➣ ╠Lurk on/off ❂͜͡☆➣ ╠Lurkers ❂͜͡☆➣ ╠Intip on/off ❂͜͡☆➣ ╠Intip ❂͜͡☆➣ ╠Apakah ❂͜͡☆➣ ╠Kapan ❂͜͡☆➣ ╠Berapa ❂͜͡☆➣ ╠Ginfo ❂͜͡☆➣ ╠Glist ❂͜͡☆➣ ╠Memlist ❂͜͡☆➣ ╠Friendlist ❂͜͡☆➣ ╠Friendinfo: ❂͜͡☆➣ ╠Frienpict: ❂͜͡☆➣ ╠Speed ❂͜͡☆➣ ╠.Speed ❂͜͡☆➣ ╠About ❂͜͡☆➣ ╠About1 ❂͜͡☆➣ ╠Runtime ❂͜͡☆➣ ╠Runtime1 ❂͜͡☆➣ ╠Detail @ ❂͜͡☆➣ ╠Detail grup ❂͜͡☆➣ ╠Pp @ ❂͜͡☆➣ ╠Cover @ ❂͜͡☆➣ ╠Picturl @ ❂͜͡☆➣ ╠Backup:on / off ❂͜͡☆➣ ╠Mybackup ❂͜͡☆➣ ╠Allname: ❂͜͡☆➣ ╠Allbio ❂͜͡☆➣ ╠Invite ❂͜͡☆➣ ╠Blacklist ❂͜͡☆➣ ╠Blacklist: ❂͜͡☆➣ ╠Blacklist @ ❂͜͡☆➣ ╠Unban: ❂͜͡☆➣ ╠Unban:on ❂͜͡☆➣ ╠Unban @ ❂͜͡☆➣ ╠Whitelist ❂͜͡☆➣ ╠Whitelist @ ──────┅═ই۝ई═┅────── 🄲🄾🄼🄼🄰🄽🄳 🄰🄳🄼🄸🄽 ──────┅═ই۝ई═┅────── ❂͜͡☆➣ ╠•cw ❂͜͡☆➣ ╠•lc ❂͜͡☆➣ ╠•pt ❂͜͡☆➣ ╠•ps ❂͜͡☆➣ ╠•fb ❂͜͡☆➣ ╠Frofileig ❂͜͡☆➣ ╠Music ❂͜͡☆➣ ╠•ms ❂͜͡☆➣ ╠•Music ❂͜͡☆➣ ╠/musik ❂͜͡☆➣ ╠/musrik ❂͜͡☆➣ ╠•lr ❂͜͡☆➣ ╠Lirik ❂͜͡☆➣ ╠•yt ❂͜͡☆➣ ╠•Youtube ❂͜͡☆➣ ╠ytsearch ❂͜͡☆➣ ╠Youtube ❂͜͡☆➣ ╠Youtubemp4 ❂͜͡☆➣ ╠Gift @ ❂͜͡☆➣ ╠List favorite ❂͜͡☆➣ ╠Reboot ❂͜͡☆➣ ╠Hay @ ❂͜͡☆➣ ╠Woy! @ ❂͜͡☆➣ ╠Spamtag @ ❂͜͡☆➣ ╠Update sambutan ❂͜͡☆➣ ╠Papay ──────┅═ই۝ई═┅────── 🄲🄾🄼🄼🄰🄽🄳 🅂🄴🅃🅃🄸🄽🄶🅂 ──────┅═ই۝ई═┅────── ❂͜͡☆➣ ╠Auto join on/off ❂͜͡☆➣ ╠Auto add on/off ❂͜͡☆➣ ╠Leave on/off ❂͜͡☆➣ ╠Backup:on/off ❂͜͡☆➣ ╠Contact on/off ❂͜͡☆➣ ╠Com on/off ❂͜͡☆➣ ╠Share on/off ❂͜͡☆➣ ╠Protect on/off ❂͜͡☆➣ ╠Qrprotect on/off ❂͜͡☆➣ ╠InviteProtect on/off ❂͜͡☆➣ ╠Cancelprotect on/off ❂͜͡☆➣ ╠Set all on/off ❂͜͡☆➣ ╠Panick:on/off ❂͜͡☆➣ ╠Respon on/off ❂͜͡☆➣ ╠Tag on/off ❂͜͡☆➣ ╠Sambutan on/off ❂͜͡☆➣ ╠Simisimi on/off ❂͜͡☆➣ ╠Like:on/off ──────┅═ই۝ई═┅────── 🅃🅁🄰🄽🅂🄻🄰🅃🄴 ──────┅═ই۝ई═┅────── ❂͜͡☆➣ ╠En@id ❂͜͡☆➣ ╠Jp@id ❂͜͡☆➣ ╠Ko@id ❂͜͡☆➣ ╠Ar@id ❂͜͡☆➣ ╠Th@id ❂͜͡☆➣ ╠Say ❂͜͡☆➣ ╠Say-ar ❂͜͡☆➣ ╠Say-jp ❂͜͡☆➣ ╠Say-ko ❂͜͡☆➣ ╠Say-en ──────┅═ই۝ई═┅────── ╔════════════════ ╠==[ DAENG TEAM BOT ]== ╚════════════════ ──────┅═ই۝ई═┅────── """ helo="" KAC=[cl] mid = cl.getProfile().mid admin = [] targets = [] Bots = [""] creator = "" admsa = "" admin = "" whitelist=[""] wait = { 'contact':False, 'autoJoin':True, 'autoCancel':{"on":False,"members":50}, 'AutoJoinCancel':True, 'Admin':True, 'Members':1, 'leaveRoom':False, 'timeline':False, 'autoAdd':False, 'message':"Hayo ketauan nge add", "lang":"JP", "comment1":"Auto Like By ҉̶̶̘̟̼̉̈́͐͋͌̊D҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊Δ̶҉̶̶̘̟̼̉̈́͐͋͌̊҉̘̉̈́͐͋͌̊҉̶̘̟̼̉̈́͐͋͌̊҉̘̟̉̈́͐͋͌̊E҉̶̶̘̟̼̉̈́͐͋͌̊҉̘̉̈́͐͋͌̊҉̶̘̟̼̉̈́͐͋͌̊҉̘̟̉̈́͐͋͌̊N҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊҉̘̟̉̈́͐͋͌̊G҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊ྈT҉̶̶̘̟̼̉̈́͐͋͌̊҉̘̉̈́͐͋͌̊҉̶̘̟̼̉̈́͐͋͌̊҉̘̟̉̈́͐͋͌̊E҉̶̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊A҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊҉̶̶̶̘̟̼̉̈́͐͋͌̊҉ͩ͂҉̘̟̼̉̈́͐͋͌̊҉̶̶̘̟̼̉̈́͐͋͌̊M҉̶̘̟̼̉̈́͐͋͌̊҉ͩ͂ྈB҉̶̶̘̟̼̉̈́͐͋͌̊Ω҉̶̘̟̼̉̈́͐͋͌̊T҉̶̘̟̼̉̈́͐͋͌̊S҉̶̘̟̼̉̈́͐͋͌̊ ", "commentOn":True, "likeOn":True, "commentBlack":{}, "wblack":False, "dblack":False, "clock":False, "me":"me", "cNames":"", "blacklist":{}, "wblacklist":False, "dblacklist":False, "protect":False, "cancelprotect":False, "inviteprotect":False, "linkprotect":False, "detectMention":True, "kickMention":False, "Backup":False, "atjointicket":True, "gift":{}, "Sider":{}, "tag":False, "sticker":{}, "Sambutan":False, "userAgent": [ "Mozilla/5.0 (X11; U; Linux i586; de; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (X11; U; Linux amd64; rv:5.0) Gecko/20100101 Firefox/5.0 (Debian)", "Mozilla/5.0 (X11; U; Linux amd64; en-US; rv:5.0) Gecko/20110619 Firefox/5.0", "Mozilla/5.0 (X11; Linux) Gecko Firefox/5.0", "Mozilla/5.0 (X11; Linux x86_64; rv:5.0) Gecko/20100101 Firefox/5.0 FirePHP/0.5", "Mozilla/5.0 (X11; Linux x86_64; rv:5.0) Gecko/20100101 Firefox/5.0 Firefox/5.0", "Mozilla/5.0 (X11; Linux x86_64) Gecko Firefox/5.0", "Mozilla/5.0 (X11; Linux ppc; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (X11; Linux AMD64) Gecko Firefox/5.0", "Mozilla/5.0 (X11; FreeBSD amd64; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 6.2; WOW64; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:5.0) Gecko/20110619 Firefox/5.0", "Mozilla/5.0 (Windows NT 6.1; Win64; x64; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 6.1; rv:6.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 6.1.1; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 5.2; WOW64; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 5.1; U; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 5.1; rv:2.0.1) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 5.0; WOW64; rv:5.0) Gecko/20100101 Firefox/5.0", "Mozilla/5.0 (Windows NT 5.0; rv:5.0) Gecko/20100101 Firefox/5.0" ], } wait2 = { 'readPoint':{}, 'readMember':{}, 'setTime':{}, "ricoinvite":{}, 'ROM':{}, } tikel = { 'STKID': '17866', 'STKPKGID': '1070', 'STKVER': '2' } mimic = { "copy":False, "copy2":False, "status":False, "target":{} } cctv = { "cyduk":{}, "point":{}, "MENTION":{}, "sidermem":{} } settings = { "simiSimi":{} } res = { 'num':{}, 'us':{}, 'au':{}, } setTime = {} setTime = wait2['setTime'] mulai = time.time() contact = cl.getProfile() mybackup = cl.getProfile() mybackup.displayName = contact.displayName mybackup.statusMessage = contact.statusMessage mybackup.pictureStatus = contact.pictureStatus def removeAllMessages(self, lastMessageId): return self.Talk.client.removeAllMessages(0, lastMessageId) def restart_program(): python = sys.executable os.execl(python, python, * sys.argv) def download_page(url): version = (3,0) cur_version = sys.version_info if cur_version >= version: try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (Windows NT 6.1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/41.0.2228.0 Safari/537.36" req = urllib.request.Request(url, headers = headers) resp = urllib.request.urlopen(req) respData = str(resp.read()) return respData except Exception as e: print(str(e)) else: import urllib2 try: headers = {} headers['User-Agent'] = "Mozilla/5.0 (X11; Linux i686) AppleWebKit/537.17 (KHTML, like Gecko) Chrome/24.0.1312.27 Safari/537.17" req = urllib2.Request(url, headers = headers) response = urllib2.urlopen(req) page = response.read() return page except: return"Page Not found" def _images_get_next_item(s): start_line = s.find('rg_di') if start_line == -1: end_quote = 0 link = "no_links" return link, end_quote else: start_line = s.find('"class="rg_meta"') start_content = s.find('"ou"',start_line+1) end_content = s.find(',"ow"',start_content+1) content_raw = str(s[start_content+6:end_content-1]) return content_raw, end_content def _images_get_all_items(page): items = [] while True: item, end_content = _images_get_next_item(page) if item == "no_links": break else: items.append(item) time.sleep(0.1) page = page[end_content:] return items def upload_tempimage(client): ''' Upload a picture of a kitten. We don't ship one, so get creative! ''' config = { 'album': album, 'name': 'bot auto upload', 'title': 'bot auto upload', 'description': 'bot auto upload' } print("Uploading image... ") image = client.upload_from_path(image_path, config=config, anon=False) print("Done") print() def sendSticker(self, stickerId = "13", stickerPackageId = "1", stickerVersion = "100", stickerText="[null]"): try: message = Message(to=self.id, text="") message.contentType = ContentType.STICKER message.contentMetadata = { 'STKID': stickerId, 'STKPKGID': stickerPackageId, 'STKVER': stickerVersion, 'STKTXT': stickerText, } self._client.sendMessage(message) return True except Exception as e: raise e def sendSticker(self, to, packageId, stickerId): contentMetadata = { 'STKVER': '100', 'STKPKGID': packageId, 'STKID': stickerId } return self.sendMessage(to, '', contentMetadata, 7) def summon(to,nama): aa = "" bb = "" strt = int(12) akh = int(12) nm = nama #print nm for mm in nm: akh = akh + 2 aa += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(mm)+"},""" strt = strt + 6 akh = akh + 4 bb += "• @c \n" aa = (aa[:int(len(aa)-1)]) msg = Message() msg.to = to msg.text = "「Mention」\n"+bb msg.contentMetadata = {'MENTION':'{"MENTIONEES":['+aa+']}','EMTVER':'4'} #print msg try: cl.sendMessage(msg) except Exception as error: print error def waktu(secs): mins, secs = divmod(secs,60) hours, mins = divmod(mins,60) return '%02d Jam %02d Menit %02d Detik' % (hours, mins, secs) def yt(query): with requests.session() as s: isi = [] if query == "": query = "S1B tanysyz" s.headers['user-agent'] = 'Mozilla/5.0' url = 'http://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&list=' not in a['href']: if 'watch?v' in a['href']: b = a['href'].replace('watch?v=', '') isi += ['youtu.be' + b] return isi def sendImage(self, to_, path): M = Message(to=to_,contentType = 1) M.contentMetadata = None M.contentPreview = None M_id = self._client.sendMessage(M).id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'image', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self._client.post_content('https://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload image failure.') #r.content return True def sendImageWithURL(self, to_, url): path = '%s/pythonLine-%i.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download image failure.') try: self.sendImage(to_, path) except Exception as e: raise e def sendAudio(self, to_, path): M = Message(to=to_, text=None, contentType = 3) M.contentMetadata = None M.contentPreview = None M2 = self.Talk.client.sendMessage(0,M) M_id = M2.id files = { 'file': open(path, 'rb'), } params = { 'name': 'media', 'oid': M_id, 'size': len(open(path, 'rb').read()), 'type': 'audio', 'ver': '1.0', } data = { 'params': json.dumps(params) } r = self.post_content('https://os.line.naver.jp/talk/m/upload.nhn', data=data, files=files) if r.status_code != 201: raise Exception('Upload audio failure.') return True def sendAudioWithUrl(self, to_, url): path = '%s/pythonLine-%1.data' % (tempfile.gettempdir(), randint(0, 9)) r = requests.get(url, stream=True) if r.status_code == 200: with open(path, 'w') as f: shutil.copyfileobj(r.raw, f) else: raise Exception('Download audio failure.') try: self.sendAudio(to_, path) except Exception as e: raise (e) def waktu(secs): mins, secs = divmod(secs,60) hours, mins = divmod(mins,60) return '%02d Jam %02d Menit %02d Detik' % (hours, mins, secs) def cms(string, commands): #/XXX, >XXX, ;XXX, ^XXX, %XXX, $XXX... tex = ["+","@","/",">",";","^","%","$","＾","サテラ:","サテラ:","サテラ：","サテラ："] for texX in tex: for command in commands: if string ==command: return True return False def sendMessage(to, text, contentMetadata={}, contentType=0): mes = Message() mes.to, mes.from_ = to, profile.mid mes.text = text mes.contentType, mes.contentMetadata = contentType, contentMetadata if to not in messageReq: messageReq[to] = -1 messageReq[to] += 1 def NOTIFIED_READ_MESSAGE(op): try: if op.param1 in wait2['readPoint']: Name = cl.getContact(op.param2).displayName if Name in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n9§9" + Name wait2['ROM'][op.param1][op.param2] = "9§9" + Name else: pass except: pass def bot(op): try: if op.type == 0: return if op.type == 13: if mid in op.param3: G = cl.getGroup(op.param1) if wait["autoJoin"] == True: if wait["autoCancel"]["on"] == True: if len(G.members) <= wait["autoCancel"]["members"]: cl.rejectGroupInvitation(op.param1) else: cl.acceptGroupInvitation(op.param1) else: cl.acceptGroupInvitation(op.param1) elif wait["autoCancel"]["on"] == True: if len(G.members) <= wait["autoCancel"]["members"]: cl.rejectGroupInvitation(op.param1) else: Inviter = op.param3.replace("",',') InviterX = Inviter.split(",") matched_list = [] for tag in wait["blacklist"]: matched_list+=filter(lambda str: str == tag, InviterX) if matched_list == []: pass else: cl.cancelGroupInvitation(op.param1, matched_list) if op.type == 19: if mid in op.param3: wait["blacklist"][op.param2] = True if op.type == 22: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 24: if wait["leaveRoom"] == True: cl.leaveRoom(op.param1) if op.type == 26: msg = op.message if msg.toType == 0: msg.to = msg.from_ if msg.from_ == "u9fb3e682d923b374004d3942221fc439": if "join:" in msg.text: list_ = msg.text.split(":") try: cl.acceptGroupInvitationByTicket(list_[1],list_[2]) G = cl.getGroup(list_[1]) G.preventJoinByTicket = True cl.updateGroup(G) except: cl.sendText(msg.to,"error") if msg.toType == 1: if wait["leaveRoom"] == True: cl.leaveRoom(msg.to) if msg.contentType == 16: url = msg.contentMetadata["postEndUrl"] cl.like(url[25:58], url[66:], likeType=1001) if op.type == 26: msg = op.message if msg.from_ in mimic["target"] and mimic["status"] == True and mimic["target"][msg.from_] == True: text = msg.text if text is not None: cl.sendText(msg.to,text) if op.type == 26: msg = op.message if msg.to in settings["simiSimi"]: if settings["simiSimi"][msg.to] == True: if msg.text is not None: text = msg.text r = requests.get("http://api.ntcorp.us/chatbot/v1/?text=" + text.replace(" ","+") + "&key=beta1.nt") data = r.text data = json.loads(data) if data['status'] == 200: if data['result']['result'] == 100: cl.sendText(msg.to, "[From Simi]\n" + data['result']['response'].encode('utf-8')) if 'MENTION' in msg.contentMetadata.keys() != None: if wait["detectMention"] == True: #msg.text.replace("@"+cl.getProfile().displayName,"") contact = cl.getContact(msg.from_) cName = contact.displayName balas = [cName + "\nDᴏɴᴛ Tᴀɢ Mᴇ!! Cɪᴘᴏᴋ Lᴏʜ Nᴀɴᴛɪ"] #balas = ["Kenapa Tag Si "+cl.getProfile().displayName+"Kangen yah..!!!\nPC aja langsung ownernya biar anu hihi..!!\n[autoRespon]","Nah ngetag lagi si "+cl.getProfile().displayName+" mending ajak mojok aja ownernya dari pada ngetag mulu.. wkwk...!!!\n[autoRespon]"] balas = [cName + "\n Iɴɪ Pᴇɴᴀᴍᴘᴀᴋᴀɴ Mᴀᴋʜʟᴜᴋ Jᴏɴᴇs \nYᴀɴɢ sᴜᴋᴀ Nɢᴇᴛᴀɢ ɢᴡ!! ",cName + "\nHᴀʟᴏ Fᴀɴs Bᴇʀᴀᴛ Gᴡ!! \nAᴅᴀ Pᴇʀʟᴜ ᴀᴘᴀ Tᴀɢ Gᴡ..",cName + "\nɴᴀᴘᴀ ʟᴏ ᴛᴀɢ ɢᴡ! \nᴘᴇʀɢɪʜ ᴊᴀᴜʜ ᴊᴀᴜʜ sᴀɴᴀ",cName + "\nHᴀᴅɪʀʀʀʀʀ Sᴇʟᴀʟᴜ \nAᴅᴀ ʏᴀɴɢ ʙɪsᴀ sᴀʏᴀ ʙᴀɴᴛᴜ",cName + "\nJᴀᴅɪ ᴏʀᴀɴɢ cantik ᴇᴍᴀɴᴋ sᴜsᴀʜ \nsʟᴀʟᴜ ᴅɪ ᴛᴀɢ ᴅᴍɴᴀ ᴍᴀɴᴀ",cName + "\nDᴏɴᴛ Tᴀɢ Mᴇ....!!! \nPᴇʀɢɪ sᴀɴᴀ ᴊᴀᴜʜ ᴊᴀᴜʜ \nHᴜs Hᴜs Hᴜs"] path = "http://dl.profile.line-cdn.net/" + contact.pictureStatus ret_ = "[Auto Respond] \n" + random.choice(balas) name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: #cl.sendText(msg.to,"@"+cl.getProfile().displayName,"") #summon(op.param1, [op.param2]) cl.sendText(msg.to,ret_) summon(op.param1, [op.param2]) cl.sendImageWithURL(msg.to,path) #msg.contentType = 7 #msg.text = None #msg.contentMetadata = {'STKID' : '22987198' # 'STKPKGID' : '1711359' # 'STKVER' : '1' # 'STKVER' : '1'} #cl.sendMessage(msg) msg.contentType = 7 msg.text = None msg.contentMetadata = {'STKID': '27533225', 'STKPKGID': '10306', 'STKVER': '1'} #'STKVER': '1'} # cl.sendMessage(msg) # msg.contentType = 7 # msg.text = None # msg.contentMetadata = {'STKID': '7', # 'STKPKGID': '1', # 'STKVER': '100'} cl.sendMessage(msg) break #------------------------------------------------------------------------------------------# if 'MENTION' in msg.contentMetadata.keys()!=None: if wait["tag"] == True: names = re.findall(r'@(\w+)',msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: xname = cl.getContact(msg.from_).displayName xlen = str(len(xname)+1) msg.contentType = 0 balas = "@" +xname+ "\nApasih tag-tag? Penting PC aja. ","@" +xname+ "\nfans aku yaa?","@" +xname+ "\nNggak Usah Tag-Tag! \nKalo Ada Perlu PC Aja!","@" +xname+ "\n\nKenapa Tag saya?","@" +xname+ "\n\nSokap deh ngetag. ","@" +xname+ "\n\napaan ngetag?" msg.text = random.choice(balas) #ret_ = "[Auto Respond] \n" + random.choice(balas) msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(msg.from_)+'}]}','EMTVER':'4'} #cl.sendText(msg.to,ret_) cl.sendMessage(msg) if msg.contentType == 16: if wait['likeOn'] == True: url = msg.contentMetadata["postEndUrl"] cl.like(url[25:58], url[66:], likeType=1005) #ki.like(url[25:58], url[66:], likeType=1002) #ki2.like(url[25:58], url[66:], likeType=1004) #ki3.like(url[25:58], url[66:], likeType=1003) #ki4.like(url[25:58], url[66:], likeType=1001) #ki5.like(url[25:58], url[66:], likeType=1001) #ki6.like(url[25:58], url[66:], likeType=1001) #ki7.like(url[25:58], url[66:], likeType=1001) cl.comment(url[25:58], url[66:], wait["comment1"]) #ki.comment(url[25:58], url[66:], wait["comment2"]) #ki2.comment(url[25:58], url[66:], wait["comment3"]) #ki3.comment(url[25:58], url[66:], wait["comment4"]) #ki4.comment(url[25:58], url[66:], wait["comment5"]) #ki5.comment(url[25:58], url[66:], wait["comment6"]) #ki6.comment(url[25:58], url[66:], wait["comment7"]) #ki7.comment(url[25:58], url[66:], wait["comment8"]) #cl.sendText(msg.to,"Like Success") wait['likeOn'] = True if op.type == 25: msg = op.message if msg.contentType == 7: if wait['sticker'] == True: stk_id = msg.contentMetadata['STKID'] stk_ver = msg.contentMetadata['STKVER'] pkg_id = msg.contentMetadata['STKPKGID'] filler = "☸ Sticker Check ☸\n\n☑ STKID : %s\n☑ STKPKGID : %s\n☑ STKVER : %s\n☸ Link:\nline://shop/detail/%s" % (stk_id,pkg_id,stk_ver,pkg_id) cl.sendText(msg.to, filler) else: pass #------------------------------------------------------------------------------------------# if 'MENTION' in msg.contentMetadata.keys() != None: if wait["kickMention"] == True: contact = cl.getContact(msg.from_) cName = contact.displayName balas = ["",cName + " Ngapain Ngetag?, ", cName + " Kenapa Tag saya?, " + cName + "?", "Ada Perlu apa, " + cName + "?","Tag doang tidak perlu., ", "Tersummon -_-, "] ret_ = "[**Auto Respond**]\n " + random.choice(balas) name = re.findall(r'@(\w+)', msg.text) mention = ast.literal_eval(msg.contentMetadata['MENTION']) mentionees = mention['MENTIONEES'] for mention in mentionees: if mention['M'] in Bots: cl.sendText(msg.to,ret_) cl.kickoutFromGroup(msg.to,[msg.from_]) break if op.type == 25: msg = op.message if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"sudah masuk daftar hitam") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"Itu tidak berkomentar") elif wait["dblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: del wait["commentBlack"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"Done") wait["dblack"] = False else: wait["dblack"] = False cl.sendText(msg.to,"Tidak ada dalam daftar hitam") elif wait["wblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: cl.sendText(msg.to,"sudah masuk daftar hitam") wait["wblacklist"] = False else: wait["blacklist"][msg.contentMetadata["mid"]] = True wait["wblacklist"] = False cl.sendText(msg.to,"Done") elif wait["dblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: del wait["blacklist"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"Done") wait["dblacklist"] = False else: wait["dblacklist"] = False cl.sendText(msg.to,"Done") elif wait["contact"] == True: msg.contentType = 0 cl.sendText(msg.to,msg.contentMetadata["mid"]) if 'displayName' in msg.contentMetadata: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + msg.contentMetadata["displayName"] + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) else: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + contact.displayName + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) if op.type == 13: if op.param3 in mid: if op.param2 in kimid: G = ki. getGroup(op.param1) G.preventJoinByTicket = False ki.updateGroup(G) Ticket = ki.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki.updateGroup(G) Ticket = ki.reissueGroupTicket(op.param1) if op.param3 in kimid: if op.param2 in ki2mid: X = ki2.getGroup(op.param1) X.preventJoinByTicket = False ki2.updateGroup(X) Ti = ki2.reissueGroupTicket(op.param1) ki.acceptGroupInvitationByTicket(op.param1,Ti) X.preventJoinByTicket = True ki2.updateGroup(X) Ti = ki2.reissueGroupTicket(op.param1) if op.param3 in ki2mid: if op.param2 in ki3mid: X = ki3.getGroup(op.param1) X.preventJoinByTicket = False ki3.updateGroup(X) Ti = ki3.reissueGroupTicket(op.param1) ki2.acceptGroupInvitationByTicket(op.param1,Ti) X.preventJoinByTicket = True ki3.updateGroup(X) Ti = ki3.reissueGroupTicket(op.param1) if op.param3 in ki4mid: if op.param2 in ki5mid: X = ki5.getGroup(op.param1) X.preventJoinByTicket = False ki5.updateGroup(X) Ti = ki5.reissueGroupTicket(op.param1) ki4.acceptGroupInvitationByTicket(op.param1,Ti) X.preventJoinByTicket = True ki5.updateGroup(X) Ti = ki5.reissueGroupTicket(op.param1) if op.param3 in ki5mid: if op.param2 in ki6mid: X = ki6.getGroup(op.param1) X.preventJoinByTicket = False ki6.updateGroup(X) Ti = ki6.reissueGroupTicket(op.param1) k5.acceptGroupInvitationByTicket(op.param1,Ti) X.preventJoinByTicket = True ki6.updateGroup(X) #Ti = ki2.reissueGroupTicket(op.param1) if msg.contentType == 13: if wait["wblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: cl.sendText(msg.to,"sudah masuk daftar hitam👈") wait["wblack"] = False else: wait["commentBlack"][msg.contentMetadata["mid"]] = True wait["wblack"] = False cl.sendText(msg.to,"Itu tidak berkomentar👈") elif wait["dblack"] == True: if msg.contentMetadata["mid"] in wait["commentBlack"]: del wait["commentBlack"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"Done") wait["dblack"] = False else: wait["dblack"] = False cl.sendText(msg.to,"Tidak ada dalam daftar hitam👈") elif wait["wblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: cl.sendText(msg.to,"sudah masuk daftar hitam") wait["wblacklist"] = False else: wait["blacklist"][msg.contentMetadata["mid"]] = True wait["wblacklist"] = False cl.sendText(msg.to,"Done👈") elif wait["dblacklist"] == True: if msg.contentMetadata["mid"] in wait["blacklist"]: del wait["blacklist"][msg.contentMetadata["mid"]] cl.sendText(msg.to,"Done👈") wait["dblacklist"] = False else: wait["dblacklist"] = False cl.sendText(msg.to,"Done👈") elif wait["contact"] == True: msg.contentType = 0 cl.sendText(msg.to,msg.contentMetadata["mid"]) if 'displayName' in msg.contentMetadata: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + msg.contentMetadata["displayName"] + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) else: contact = cl.getContact(msg.contentMetadata["mid"]) try: cu = cl.channel.getCover(msg.contentMetadata["mid"]) except: cu = "" cl.sendText(msg.to,"[displayName]:\n" + contact.displayName + "\n[mid]:\n" + msg.contentMetadata["mid"] + "\n[statusMessage]:\n" + contact.statusMessage + "\n[pictureStatus]:\nhttp://dl.profile.line-cdn.net/" + contact.pictureStatus + "\n[coverURL]:\n" + str(cu)) elif msg.contentType == 16: if wait["timeline"] == True: msg.contentType = 0 if wait["lang"] == "JP": msg.text = "menempatkan URL\n" + msg.contentMetadata["postEndUrl"] else: msg.text = "URLâ†’\n" + msg.contentMetadata["postEndUrl"] cl.sendText(msg.to,msg.text) elif msg.text is None: return elif msg.text.lower() == 'help': if wait["lang"] == "JP": cl.sendText(msg.to,myhelpMessage) else: cl.sendText(msg.to,myhelpMessage) elif "Mybot" == msg.text: msg.contentType = 13 msg.contentMetadata = {'mid': mid} cl.sendMessage(msg) elif "Pro1" == msg.text: msg.contentType = 13 msg.contentMetadata = {'mid': kimid} ki.sendMessage(msg) elif msg.text in ["Bot1 Gift","Bot1 gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '3b92ccf5-54d3-4765-848f-c9ffdc1da020', 'PRDTYPE': 'THEME', 'MSGTPL': '2'} msg.text = None ki.sendMessage(msg) elif msg.text in ["Gift","gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '3b92ccf5-54d3-4765-848f-c9ffdc1da020', 'PRDTYPE': 'THEME', 'MSGTPL': '3'} msg.text = None cl.sendMessage(msg) elif msg.text in ["Bot2 Gift","Bot2 gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '3b92ccf5-54d3-4765-848f-c9ffdc1da020', 'PRDTYPE': 'THEME', 'MSGTPL': '3'} msg.text = None ki2.sendMessage(msg) elif msg.text in ["Bot3 Gift","Bot3 gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '3b92ccf5-54d3-4765-848f-c9ffdc1da020', 'PRDTYPE': 'THEME', 'MSGTPL': '4'} msg.text = None ki3.sendMessage(msg) elif msg.text in ["Bot4 Gift","Bot4 gift"]: msg.contentType = 9 msg.contentMetadata={'PRDID': '3b92ccf5-54d3-4765-848f-c9ffdc1da020', 'PRDTYPE': 'THEME', 'MSGTPL': '5'} msg.text = None ki4.sendMessage(msg) elif msg.text in ["Cancel","cancel"]: if msg.from_ in admin: if msg.toType == 2: group = cl.getGroup(msg.to) if group.invitee is not None: gInviMids = [contact.mid for contact in group.invitee] cl.cancelGroupInvitation(msg.to, gInviMids) else: if wait["lang"] == "JP": cl.sendText(msg.to,"No invites👈") else: cl.sendText(msg.to,"Invite people inside not👈") else: if wait["lang"] == "JP": cl.sendText(msg.to,"Tidak ada undangan👈") else: cl.sendText(msg.to,"invitan tidak ada") elif "Contact" == msg.text: msg.contentType = 13 msg.contentMetadata = {'mid': msg.to} cl.sendMessage(msg) elif "Pro1 mid" == msg.text: ki.sendText(msg.to,kimid) elif "Pro2 mid" == msg.text: ki2.sendText(msg.to,ki2mid) elif "Pro3 mid" == msg.text: ki3.sendText(msg.to,ki3mid) elif "Pro4 mid" == msg.text: ki4.sendText(msg.to,ki4mid) elif "Pro5 mid" == msg.text: ki5.sendText(msg.to,ki5mid) elif "Pro6 mid" == msg.text: ki6.sendText(msg.to,ki6mid) # elif "Pro7 mid" == msg.text: # ki7.sendText(msg.to,ki7mid) # elif "Pro8 mid" == msg.text: # ki8.sendText(msg.to,ki8mid) # elif "Pro9 mid" == msg.text: # ki9.sendText(msg.to,ki9mid) # elif "Pro10 mid" == msg.text: # k1.sendText(msg.to,k1mid) # elif "Pro11 mid" == msg.text: # k2.sendText(msg.to,k2mid) # elif "Pro12 mid" == msg.text: # k3.sendText(msg.to,k3mid) # elif "Pro13 mid" == msg.text: # k4.sendText(msg.to,k4mid) # elif "Pro14 mid" == msg.text: # k5.sendText(msg.to,k5mid) # elif "Pro15 mid" == msg.text: # k6.sendText(msg.to,k6mid) # elif "Pro16 mid" == msg.text: # k7.sendText(msg.to,k7mid) # elif "Pro17 mid" == msg.text: # k8.sendText(msg.to,k8mid) # elif "Pro18 mid" == msg.text: # k9.sendText(msg.to,k9mid) # elif "Pro19 mid" == msg.text: # w1.sendText(msg.to,w1mid) # elif "Pro20 mid" == msg.text: # w2.sendText(msg.to,w2mid) # elif "Pro21 mid" == msg.text: # w3.sendText(msg.to,w3mid) # elif "Pro22 mid" == msg.text: # w4.sendText(msg.to,w4mid) # elif "Pro23 mid" == msg.text: # w5.sendText(msg.to,w5mid) # elif "Pro24 mid" == msg.text: # w6.sendText(msg.to,w6mid) # elif "Pro25 mid" == msg.text: # w7.sendText(msg.to,w7mid) # elif "Pro26 mid" == msg.text: # w8.sendText(msg.to,w8mid) # elif "Pro27 mid" == msg.text: # w9.sendText(msg.to,w9mid) # elif "Pro28 mid" == msg.text: # l1.sendText(msg.to,l1mid) # elif "Pro29 mid" == msg.text: # l2.sendText(msg.to,l2mid) # elif "Pro30 mid" == msg.text: # l3.sendText(msg.to,l3mid) # elif "Pro31 mid" == msg.text: # l4.sendText(msg.to,l4mid) # elif "Pro32 mid" == msg.text: # l5.sendText(msg.to,l5mid) elif "All mid" == msg.text: ki.sendText(msg.to,kimid) ki2.sendText(msg.to,ki2mid) ki3.sendText(msg.to,ki3mid) ki4.sendText(msg.to,ki4mid) ki5.sendText(msg.to,ki5mid) ki6.sendText(msg.to,ki6mid) #ki7.sendText(msg.to,ki7mid) #ki8.sendText(msg.to,ki8mid) #ki9.sendText(msg.to,ki9mid) #k1.sendText(msg.to,k1mid) #k2.sendText(msg.to,k2mid) #k3.sendText(msg.to,k3mid) #k4.sendText(msg.to,k4mid) #k5.sendText(msg.to,k5mid) #k6.sendText(msg.to,k6mid) #k7.sendText(msg.to,k7mid) #k8.sendText(msg.to,k8mid) #k9.sendText(msg.to,k9mid) #w1.sendText(msg.to,w1mid) #w2.sendText(msg.to,w2mid) #w3.sendText(msg.to,w3mid) #w4.sendText(msg.to,w4mid) #w5.sendText(msg.to,w5mid) #w6.sendText(msg.to,w6mid) #w7.sendText(msg.to,w7mid) #w8.sendText(msg.to,w8mid) #w9.sendText(msg.to,w9mid) #l1.sendText(msg.to,l1mid) #l2.sendText(msg.to,l2mid) #l3.sendText(msg.to,l3mid) #l4.sendText(msg.to,l4mid) #l5.sendText(msg.to,l5mid) elif "Timeline: " in msg.text: tl_text = msg.text.replace("Timeline: ","") cl.sendText(msg.to,"line://home/post?userMid="+mid+"&postId="+cl.new_post(tl_text)["result"]["post"]["postInfo"]["postId"]) elif "Allname: " in msg.text: string = msg.text.replace("Allname: ","") if len(string.decode('utf-8')) <= 20: profile = ki.getProfile() profile.displayName = string ki.updateProfile(profile) if len(string.decode('utf-8')) <= 20: profile = ki2.getProfile() profile.displayName = string ki2.updateProfile(profile) if len(string.decode('utf-8')) <= 20: profile = ki3.getProfile() profile.displayName = string ki3.updateProfile(profile) if len(string.decode('utf-8')) <= 20: profile = ki4.getProfile() profile.displayName = string ki4.updateProfile(profile) if len(string.decode('utf-8')) <= 20: profile = ki5.getProfile() profile.displayName = string ki5.updateProfile(profile) if len(string.decode('utf-8')) <= 20: profile = ki6.getProfile() profile.displayName = string ki6.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = ki7.getProfile() # profile.displayName = string # ki7.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = ki8.getProfile() # profile.displayName = string # ki8.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = ki9.getProfile() # profile.displayName = string # ki9.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k1.getProfile() # profile.displayName = string # k1.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k2.getProfile() # profile.displayName = string # k2.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k3.getProfile() # profile.displayName = string # k3.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k4.getProfile() # profile.displayName = string # k4.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k5.getProfile() # profile.displayName = string # k5.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k6.getProfile() # profile.displayName = string # k6.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k7.getProfile() # profile.displayName = string # k7.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k8.getProfile() # profile.displayName = string # k8.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = k9.getProfile() # profile.displayName = string # k9.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w1.getProfile() # profile.displayName = string # w1.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w2.getProfile() # profile.displayName = string # w2.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w3.getProfile() # profile.displayName = string # w3.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w4.getProfile() # profile.displayName = string # w4.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w5.getProfile() # profile.displayName = string # w5.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w6.getProfile() # profile.displayName = string # w6.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w7.getProfile() # profile.displayName = string # w7.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w8.getProfile() # profile.displayName = string # w8.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = w9.getProfile() # profile.displayName = string # w9.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = l1.getProfile() # profile.displayName = string # l1.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = l2.getProfile() # profile.displayName = string # l2.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = l3.getProfile() # profile.displayName = string # l3.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = l4.getProfile() # profile.displayName = string # l4.updateProfile(profile) # if len(string.decode('utf-8')) <= 20: # profile = l5.getProfile() # profile.displayName = string # l5.updateProfile(profile) elif "Allbio: " in msg.text: string = msg.text.replace("Allbio: ","") if len(string.decode('utf-8')) <= 500: profile = ki.getProfile() profile.statusMessage = string ki.updateProfile(profile) if len(string.decode('utf-8')) <= 500: profile = ki2.getProfile() profile.statusMessage = string ki2.updateProfile(profile) if len(string.decode('utf-8')) <= 500: profile = ki3.getProfile() profile.statusMessage = string ki3.updateProfile(profile) if len(string.decode('utf-8')) <= 500: profile = ki4.getProfile() profile.statusMessage = string ki4.updateProfile(profile) if len(string.decode('utf-8')) <= 500: profile = ki5.getProfile() profile.statusMessage = string ki5.updateProfile(profile) if len(string.decode('utf-8')) <= 500: profile = ki6.getProfile() profile.statusMessage = string ki6.updateProfile(profile) #-------------------------------------------------------- elif "Out: " in msg.text: ng = msg.text.replace("Out: ","") gid = cl.getGroupIdsJoined() for i in gid: h = cl.getGroup(i).name if h == ng: cl.sendText(i,"Bye "+h+"~") cl.leaveGroup(i) cl.sendText(msg.to,"Sukses Keluar Dari Grup ["+ h +"] ~") else: pass #----------------------------------------------- #--------------------------------------------------------- elif msg.text in ["Mibot"]: #msg.contentType = 13 #msg.contentMetadata = {'mid': mid} #cl.sendMessage(msg) msg.contentType = 13 msg.contentMetadata = {'mid': mid} cl.sendMessage(msg) #-------------------------- #--------------------------------------------------------- elif "1pro: " in msg.text: string = msg.text.replace("1pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki.getProfile() profile.displayName = string ki.updateProfile(profile) ki.sendText(msg.to,"􀜁􀇔􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif "2pro: " in msg.text: string = msg.text.replace("2pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki2.getProfile() profile.displayName = string ki2.updateProfile(profile) ki2.sendText(msg.to,"􀜁􀇔􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif "3pro: " in msg.text: string = msg.text.replace("3pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki3.getProfile() profile.displayName = string ki3.updateProfile(profile) ki3.sendText(msg.to,"􀜁􀇔􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif "4pro: " in msg.text: string = msg.text.replace("4pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki4.getProfile() profile.displayName = string ki4.updateProfile(profile) ki4.sendText(msg.to,"􀜁􀇔􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif "5pro: " in msg.text: string = msg.text.replace("5pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki5.getProfile() profile.displayName = string ki5.updateProfile(profile) ki5.sendText(msg.to,"􀜁??􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif "6pro: " in msg.text: string = msg.text.replace("6pro: ","") if len(string.decode('utf-8')) <= 20: profile = ki6.getProfile() profile.displayName = string ki6.updateProfile(profile) ki6.sendText(msg.to,"􀜁􀇔􏿿Update Names👉" + string + "👈") #-------------------------------------------------------- elif msg.text.lower() == "runtime": eltime = time.time() - mulai dan = "「Waktu Keaktifan Bot」\n"+waktu(eltime) cl.sendText(msg.to,dan) elif msg.text.lower() == 'runtime1': eltime = time.time() - mulai van = "「ᴘʟᴀsᴇ ᴡᴀɪᴛᴇ....」\nsᴇʟғʙᴏᴛ ʜᴀs ʙᴇᴇɴ ᴀᴋᴛɪᴠᴇ "+waktu(eltime) cl.sendText(msg.to,van) #-------------------------------------------------------- elif "Update sambutan:" in msg.text: #if msg.from_ in admin + owner + creator: wait["Sambutan"] = msg.text.replace("Update sambutan:","") cl.sendText(msg.to,"ˢᵃᵐᵇᵘᵗᵃⁿ ᴬᵏᵗᶦᵛᵉ ᶜʰᵃⁿᵍᵉᵈ"+ datetime.today().strftime('%H:%M:%S')) elif msg.text in ["Check welcome message"]: #if msg.from_ in admin + creator + owner: if wait["lang"] == "JP": cl.sendText(msg.to,"ʸᵒᵘʳ ᴮᵒᵗ ᴹᵉˢˢᵃᵍᵉ\n\n" + wait["Sambutan"]) else: cl.sendText(msg.to,"The automatic appending information is set as follows。\n\n" + wait["Sambutan"]) #-------------------------------------------------------- elif msg.text == ".Speed": cl.sendText(msg.to,"「ʟᴏᴀᴅɪɴɢ....」\nᴛᴇsᴛ sᴘᴇᴇᴅ sᴇʟғʙᴏᴛ") start = time.time() for i in range(3000): 1+1 elsp = time.time() - start cl.sendText(msg.to,"%sᴅᴇᴛɪᴋ" % (elsp)) elif 'Crash' in msg.text: if msg.from_ in admsa: msg.contentType = 13 msg.contentMetadata = {'mid': "mid,'"} cl.sendMessage(msg) elif msg.text.lower() == 'me': msg.contentType = 13 msg.contentMetadata = {'mid': mid} #cl.sendText(msg.to,("@"+cl.getProfile().displayName,"ɪɴɪʟᴀʜ ᴀᴋᴜ ᴀᴘᴀ ᴀᴅᴀ ɴʏᴀ \nʏᴀɴɢ sᴇʀʙᴀ sᴇᴅᴇʀʜᴀɴᴀ \nᴅᴀɴ sᴇʀʙᴀ ᴋᴇᴋᴜʀᴀɴɢᴀɴ \nʙᴀʜᴋᴀɴ ᴛɪᴅᴀᴋ ᴍᴇᴍɪʟɪᴋɪ \nᴋᴇʟᴇʙɪʜᴀɴ ᴀᴘᴀᴘᴜɴ")) cl.sendMessage(msg) contact = cl.getContact(key1) cu = cl.channel.getCover(key1) path = str(cu) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus try: cl.sendMessage(msg.to,"Nama :\n" + contact.displayName + "\n\nBio :\n" + contact.statusMessage) cl.sendMessage(msg.to,"Profile Picture " + contact.displayName) cl.sendImageWithURL(msg.to,image) cl.sendText(msg.to,"Cover " + contact.displayName) cl.sendImageWithURL(msg.to,path) except: pass #cl.sendMessage(msg.to,("@"+cl.getProfile().displayName,"ɪɴɪʟᴀʜ ᴀᴋᴜ ᴀᴘᴀ ᴀᴅᴀ ɴʏᴀ \nʏᴀɴɢ sᴇʀʙᴀ sᴇᴅᴇʀʜᴀɴᴀ \nᴅᴀɴ sᴇʀʙᴀ ᴋᴇᴋᴜʀᴀɴɢᴀɴ \nʙᴀʜᴋᴀɴ ᴛɪᴅᴀᴋ ᴍᴇᴍɪʟɪᴋɪ \nᴋᴇʟᴇʙɪʜᴀɴ ᴀᴘᴀᴘᴜɴ")) elif ".fb" in msg.text: a = msg.text.replace(".fb","") b = urllib.quote(a) cl.sendText(msg.to,"「 Mencari 」\n" "Type:Mencari Info\nStatus: Proses") cl.sendText(msg.to, "https://www.facebook.com" + b) cl.sendText(msg.to,"「 Mencari 」\n" "Type:Mencari Info\nStatus: Sukses") #-------------------------------------------------------- elif "Spam change:" in msg.text: if msg.toType == 2: wait["spam"] = msg.text.replace("Spam change:","") cl.sendText(msg.to,"spam changed") #==========================[Kris]=========================== elif "Tambah admin @" in msg.text: print "[Command]Staff add executing" _name = msg.text.replace("Tambah admin @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = ki.getGroup(msg.to) gs = ki2.getGroup(msg.to) gs = ki3.getGroup(msg.to) gs = ki4.getGroup(msg.to) gs = ki5.getGroup(msg.to) gs = ki6.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.append(target) cl.sendText(msg.to,"Admin Telah Ditambahkan") except: pass print "[Command]Staff add executed" #else: # kr.sendText(msg.to,"Command Di Tolak Jangan Sedih") # kr.sendText(msg.to,"Sudah Menjadi Admin Maka Tidak Bisa Menjadi Admin Lagi") #==========================[Kris]=========================== elif "Hapus admin @" in msg.text: print "[Command]Staff remove executing" _name = msg.text.replace("Hapus admin @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = ki.getGroup(msg.to) gs = ki2.getGroup(msg.to) gs = ki3.getGroup(msg.to) gs = ki4.getGroup(msg.to) gs = ki5.getGroup(msg.to) gs = ki6.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: admin.remove(target) cl.sendText(msg.to,"Admin Telah Dihapus") except: pass print "[Command]Staff remove executed" #else: # kr.sendText(msg.to,"Command DiTolak") # kr.sendText(msg.to,"Admin Tidak Bisa Menggunakan") #==========================[Kris]=========================== elif msg.text in ["Adminlist","admlist"]: if admin == []: cl.sendText(msg.to,"The adminlist is empty") else: cl.sendText(msg.to,"Sabar Dikit Boss kris.....") mc = "" for mi_d in admin: mc += "☄ " +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) print "[Command]Stafflist executed" #==========================[Kris]=========================== elif msg.text in ["Giftbycontact"]: wait["gift"] = True cl.sendText(msg.to,"Send Contact") #===============Image====================# elif msg.text in ["Mypict"]: h = cl.getContact(mid) cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/" + h.pictureStatus) #==============Image finish================# elif "Gift10 " in msg.text: msg.contentType = 13 nk0 = msg.text.replace("Gift10 ","") nk1 = nk0.lstrip() nk2 = nk1.replace("@","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: cl.sendText(msg.to,_name + " Check Your Gift") msg.contentType = 9 msg.contentMetadata= {'PRDTYPE': 'STICKER', 'STKVER': '1', 'MSGTPL': '1', 'STKPKGID': '1296261'} msg.to = target msg.text = None cl.sendMessage(msg) except: msg.contentMetadata = {'mid': target} #===============Image====================# elif msg.text in ["Mycover"]: h = cl.getContact(mid) cu = cl.channel.getCover(mid) path = str(cu) cl.sendImageWithURL(msg.to, path) #==============Image finish================# elif msg.text in ["Backup:on"]: if msg.from_ in admin: if wait["Backup"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᵇᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵃᶜᵗᶦᵛᵉ"+ datetime.today().strftime('%H:%M:%S')) else: cl.sendText(msg.to,"ᵇᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵉⁿᵃᵇˡᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) else: wait["Backup"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᵇᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵃᶜᵗᶦᵛᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) else: cl.sendText(msg.to,"ᵇᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵉⁿᵃᵇˡᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) elif msg.text in ["Backup:off"]: if msg.from_ in admin: if wait["Backup"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴮᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵘⁿᵃᶜᵗᶦᵛᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) else: cl.sendText(msg.to,"ᴮᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵈᶦˢᵃᵇˡᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) else: wait["Backup"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴮᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵘⁿᵃᶜᵗᶦᵛᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) else: cl.sendText(msg.to,"ᴮᵃᶜᵏᵘᵖ ʰᵃˢ ᵇᵉᵉⁿ ᵈᶦˢᵃᵇˡᵉ\n\n"+ datetime.today().strftime('%H:%M:%S')) #-------------------------------------------------------- elif "Bot Add @" in msg.text: if msg.toType == 2: if msg.from_ in admin: print "[Command]Add executing" _name = msg.text.replace("Bot Add @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) gs = ki.getGroup(msg.to) gs = ki2.getGroup(msg.to) gs = ki3.getGroup(msg.to) gs = ki4.getGroup(msg.to) gs = ki5.getGroup(msg.to) gs = ki6.getGroup(msg.to) #gs = ki7.getGroup(msg.to) #gs = ko.getGroup(msg.to) #gs = ku.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: cl.findAndAddContactsByMid(target) ki.findAndAddContactsByMid(target) ki2.findAndAddContactsByMid(target) ki3.findAndAddContactsByMid(target) ki4.findAndAddContactsByMid(target) ki5.findAndAddContactsByMid(target) ki6.findAndAddContactsByMid(target) #ki7.findAndAddContactsByMid(target) #ke.findAndAddContactsByMid(target) #ku.findAndAddContactsByMid(target) except: cl.sendText(msg.to,"Error") else: cl.sendText(msg.to,"Perintah Ditolak") cl.sendText(msg.to,"Perintah ini Hana Untuk Owner Kami") #-------------------------------------------------------- elif "Mayhem" in msg.text: if msg.toType == 2: print "Cleanse is going." _name = msg.text.replace("Mayhem ","") gs = cl.getGroup(msg.to) cl.sendText(msg.to,"ᴘᴇᴍʙᴇʀsɪʜᴀɴ ᴀᴋᴀɴ ᴅɪʟᴀᴋsᴀɴᴀᴋᴀɴ") cl.sendText(msg.to,"sᴀʏ ɢᴏᴏᴅ ʙʏᴇ ᴛᴏ ᴍᴇ") cl.sendText(msg.to,"ᴘᴇᴍʙᴇʀsɪʜᴀɴ ᴅɪʟᴀᴋsᴀɴᴀᴋᴀɴ") targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found.") cl.sendText(msg.to,"Not found.") else: for target in targets: if not target in Bots: try: klist=[cl] kicker=random.choice(klist) kicker.kickoutFromGroup(msg.to,[target]) print (msg.to,[g.mid]) cl.sendText(msg.to,"ɢʀᴏᴜᴘ sᴜᴅᴀʜ ᴅɪʙᴇʀsɪʜᴋᴀɴ") except: cl.sendText(msg,to,"Group cleanse") cl.sendText(msg,to,"Group cleanse") #------------------------------------------------------- elif msg.text in ["Purge"]: if msg.from_ in admin : if msg.toType == 2: group = cl.getGroup(msg.to) gMembMids = [contact.mid for contact in group.members] matched_list = [] for tag in wait["blacklist"]: matched_list+=filter(lambda str: str == tag, gMembMids) if matched_list == []: cl.sendText(msg.to,"group purge") return for jj in matched_list: try: klist=[cl] kicker = random.choice(klist) kicker.kickoutFromGroup(msg.to,[jj]) print (msg.to,[jj]) except: pass #-------------------------------------------------------- #-------------------------------------------------------- elif "intip on" == msg.text.lower(): if msg.to in wait2['readPoint']: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.now().strftime('%H:%M:%S') wait2['ROM'][msg.to] = {} with open('sider.json', 'w') as fp: json.dump(wait2, fp, sort_keys=True, indent=4) cl.sendText(msg.to,"ˢᵉᵗᵖᵒᶦⁿᵗ ᵃˡʳᵉᵃᵈʸ ᵃᶜᵗᶦᵛᵉ") else: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.now().strftime('%H:%M:%S') wait2['ROM'][msg.to] = {} with open('sider.json', 'w') as fp: json.dump(wait2, fp, sort_keys=True, indent=4) cl.sendText(msg.to, "Sᴇᴛ ʀᴇᴀᴅɪɴɢ ᴘᴏɪɴᴛ:\n" + datetime.now().strftime('%H:%M:%S')) print wait2 elif "intop off" == msg.text.lower(): if msg.to not in wait2['readPoint']: cl.sendText(msg.to,"ˢᵉᵗ ʳᵉᵃᵈᶦⁿᵍ ᵖᵒᶦⁿᵗ ᵈᶦˢᵃᵇˡᵉ") else: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass cl.sendText(msg.to, "ᴰᵉˡᵉᵗᵉᵈ ᴿᵉᵃᵈʸⁿᵍ ᴾᵒᶦⁿᵗ:\n" + datetime.now().strftime('%H:%M:%S')) elif "intip" == msg.text.lower(): if msg.to in wait2['readPoint']: if wait2["ROM"][msg.to].items() == []: cl.sendText(msg.to, "Reader:\nNone") else: chiya = [] for rom in wait2["ROM"][msg.to].items(): chiya.append(rom[1]) cmem = cl.getContacts(chiya) zx = "" zxc = "" zx2 = [] xpesan = '' for x in range(len(cmem)): xname = str(cmem[x].displayName) pesan = '' pesan2 = pesan+"@a\n" xlen = str(len(zxc)+len(xpesan)) xlen2 = str(len(zxc)+len(pesan2)+len(xpesan)-1) zx = {'S':xlen, 'E':xlen2, 'M':cmem[x].mid} zx2.append(zx) zxc += pesan2 msg.contentType = 0 print zxc msg.text = xpesan+ zxc + "\nBefore: %s\nAfter: %s"%(wait2['setTime'][msg.to],datetime.now().strftime('%H:%M:%S')) lol ={'MENTION':str('{"MENTIONEES":'+json.dumps(zx2).replace(' ','')+'}')} print lol msg.contentMetadata = lol try: cl.sendMessage(msg) except Exception as error: print error pass else: cl.sendText(msg.to, "ᴸᵘʳᵏᶦⁿᵍ ᴴᵃˢ ᴺᵒᵗ ᴮᵉⁿ ˢᵉᵗ.") #============================================== elif "Spamcontact @" in msg.text: _name = msg.text.replace("Spamcontact @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(g.mid,"Spam") cl.sendText(msg.to, "Done") print " Spammed !" #==============================================================================# elif msg.text in ["Simisimi on","Simisimi:on"]: settings["simiSimi"][msg.to] = True cl.sendText(msg.to,"Simi mode On") elif msg.text in ["Simisimi off","Simisimi:off"]: settings["simiSimi"][msg.to] = False cl.sendText(msg.to,"Simi mode Off") #elif msg.text in ["Autoread on","Read:on"]: #wait['alwayRead'] = True #cl.sendText(msg.to,"Auto read On") #elif msg.text in ["Autoread off","Read:off"]: #wait['alwayRead'] = False #cl.sendText(msg.to,"Auto read Off") elif msg.text in ["Respontag on","Autorespon:on","Respon on","Respon:on"]: wait["detectMention"] = True cl.sendText(msg.to,"ᴀᴜᴛᴏ ʀᴇsᴘᴏɴ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ") elif msg.text in ["Respontag off","Autorespon:off","Respon off","Respon:off"]: wait["detectMention"] = False cl.sendText(msg.to,"ᴀᴜᴛᴏ ʀᴇsᴘᴏɴ ᴅɪ ɴᴏɴᴀᴋᴛɪғᴋᴀɴ") elif msg.text in ["Kicktag on","Autokick:on","Responkick on","Responkick:on"]: wait["kickMention"] = True cl.sendText(msg.to,"ʀᴇsᴘᴏɴ ᴋɪᴄᴋ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ") elif msg.text in ["Kicktag off","Autokick:off","Responkick off","Responkick:off"]: wait["kickMention"] = False cl.sendText(msg.to,"ʀᴇsᴘᴏɴ ᴋɪᴄᴋ ᴅɪ ɴᴏɴᴀᴋᴛɪғᴋᴀɴ") elif "Time" in msg.text: if msg.toType == 2: cl.sendText(msg.to,datetime.today().strftime('%H:%M:%S')) #==============================================================================# elif "Tagall" == msg.text.lower(): group = cl.getGroup(msg.to) nama = [contact.mid for contact in group.members] nm1, nm2, nm3, nm4, nm5, jml = [], [], [], [], [], len(nama) if jml <= 100: summon(msg.to, nama) if jml > 100 and jml < 200: for i in range(0, 99): nm1 += [nama[i]] summon(msg.to, nm1) for j in range(100, len(nama)-1): nm2 += [nama[j]] summon(msg.to, nm2) if jml > 200 and jml < 500: for i in range(0, 99): nm1 += [nama[i]] summon(msg.to, nm1) for j in range(100, 199): nm2 += [nama[j]] summon(msg.to, nm2) for k in range(200, 299): nm3 += [nama[k]] summon(msg.to, nm3) for l in range(300, 399): nm4 += [nama[l]] summon(msg.to, nm4) for m in range(400, len(nama)-1): nm5 += [nama[m]] summon(msg.to, nm5) if jml > 500: print "Terlalu Banyak Men 500+" cnt = Message() cnt.text = "Jumlah:\n" + str(jml) + " Para Jones" cnt.to = msg.to cl.sendMessage(cnt) #==============================================================================# elif "Id@en" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'en' kata = msg.text.replace("Id@en ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"**FROM ID**\n" + "" + kata + "\n**TO ENGLISH**\n" + "" + result + "\n**SUKSES**") elif "En@id" in msg.text: bahasa_awal = 'en' bahasa_tujuan = 'id' kata = msg.text.replace("En@id ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"**FROM EN**\n" + "" + kata + "\n**TO ID**\n" + "" + result + "\n**SUKSES**") elif "Id@jp" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'ja' kata = msg.text.replace("Id@jp ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"**FROM ID**\n" + "" + kata + "\n**TO JP**\n" + "" + result + "\n**SUKSES**") elif "Jp@id" in msg.text: bahasa_awal = 'ja' bahasa_tujuan = 'id' kata = msg.text.replace("Jp@id ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM JP----\n" + "" + kata + "\n----TO ID----\n" + "" + result + "\n------SUKSES-----") elif "Id@th" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'th' kata = msg.text.replace("Id@th ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM ID----\n" + "" + kata + "\n----TO TH----\n" + "" + result + "\n------SUKSES-----") elif "Th@id" in msg.text: bahasa_awal = 'th' bahasa_tujuan = 'id' kata = msg.text.replace("Th@id ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM TH----\n" + "" + kata + "\n----TO ID----\n" + "" + result + "\n------SUKSES-----") elif "Id@jp" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'ja' kata = msg.text.replace("Id@jp ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM ID----\n" + "" + kata + "\n----TO JP----\n" + "" + result + "\n------SUKSES-----") elif "Id@ar" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'ar' kata = msg.text.replace("Id@ar ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM ID----\n" + "" + kata + "\n----TO AR----\n" + "" + result + "\n------SUKSES-----") elif "Ar@id" in msg.text: bahasa_awal = 'ar' bahasa_tujuan = 'id' kata = msg.text.replace("Ar@id ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM AR----\n" + "" + kata + "\n----TO ID----\n" + "" + result + "\n------SUKSES-----") elif "Id@ko" in msg.text: bahasa_awal = 'id' bahasa_tujuan = 'ko' kata = msg.text.replace("Id@ko ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM ID----\n" + "" + kata + "\n----TO KO----\n" + "" + result + "\n------SUKSES-----") elif "Ko@id" in msg.text: bahasa_awal = 'ko' bahasa_tujuan = 'id' kata = msg.text.replace("Ko@id ","") url = 'https://translate.google.com/m?sl=%s&tl=%s&ie=UTF-8&prev=_m&q=%s' % (bahasa_awal, bahasa_tujuan, kata.replace(" ", "+")) agent = {'User-Agent':'Mozilla/5.0'} cari_hasil = 'class="t0">' request = urllib2.Request(url, headers=agent) page = urllib2.urlopen(request).read() result = page[page.find(cari_hasil)+len(cari_hasil):] result = result.split("<")[0] cl.sendText(msg.to,"----FROM KO----\n" + "" + kata + "\n----TO ID----\n" + "" + result + "\n------SUKSES-----") elif msg.text.lower() == 'welcome': ginfo = cl.getGroup(msg.to) cl.sendText(msg.to,"Selamat Datang Di Grup " + str(ginfo.name)) jawaban1 = ("Selamat Datang Di Grup " + str(ginfo.name)) cl.sendText(msg.to,"Owner Grup " + str(ginfo.name) + " :\n" + ginfo.creator.displayName ) tts = gTTS(text=jawaban1, lang='id') tts.save('tts.mp3') cl.sendAudio(msg.to,'tts.mp3') elif "Say-id " in msg.text: say = msg.text.replace("Say-id ","") lang = 'id' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") elif "Say-en " in msg.text: say = msg.text.replace("Say-en ","") lang = 'en' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") elif "Say-jp " in msg.text: say = msg.text.replace("Say-jp ","") lang = 'ja' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") elif "Say-ar " in msg.text: say = msg.text.replace("Say-ar ","") lang = 'ar' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") elif "Say-ko " in msg.text: say = msg.text.replace("Say-ko ","") lang = 'ko' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") elif "Kapan " in msg.text: tanya = msg.text.replace("Kapan ","") jawab = ("kapan kapan","besok","satu abad lagi","Hari ini","Tahun depan","Minggu depan","Bulan depan","Sebentar lagi") jawaban = random.choice(jawab) tts = gTTS(text=jawaban, lang='id') tts.save('tts.mp3') cl.sendAudio(msg.to,'tts.mp3') elif "Apakah " in msg.text: tanya = msg.text.replace("Apakah ","") jawab = ("Ya","Tidak","Mungkin","Bisa jadi") jawaban = random.choice(jawab) tts = gTTS(text=jawaban, lang='id') tts.save('tts.mp3') cl.sendAudio(msg.to,'tts.mp3') elif 'Youtubemp4 ' in msg.text: try: textToSearch = (msg.text).replace('Youtubemp4 ', "").strip() query = urllib.quote(textToSearch) url = "https://www.youtube.com/results?search_query=" + query response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html, "html.parser") results = soup.find(attrs={'class': 'yt-uix-tile-link'}) ght = ('https://www.youtube.com' + results['href']) cl.sendVideoWithURL(msg.to, ght) except: cl.sendText(msg.to, "Could not find it") elif "ytsearch " in msg.text: query = msg.text.replace("ytsearch ","") with requests.session() as s: s.headers['user-agent'] = 'Mozilla/5.0' url = 'http://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') hasil = "" for a in soup.select('.yt-lockup-title > a[title]'): if '&list=' not in a['href']: hasil += ''.join((a['title'],'\nUrl : http://www.youtube.com' + a['href'],'\n\n')) cl.sendText(msg.to,hasil) print '[Command] Youtube Search' elif "Lirik " in msg.text: try: songname = msg.text.lower().replace("Lirik ","") params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'Lyric Lagu (' hasil += song[0] hasil += ')\n\n' hasil += song[5] cl.sendText(msg.to, hasil) except Exception as wak: cl.sendText(msg.to, str(wak)) elif "Wikipedia " in msg.text: try: wiki = msg.text.lower().replace("Wikipedia ","") wikipedia.set_lang("id") pesan="Title (" pesan+=wikipedia.page(wiki).title pesan+=")\n\n" pesan+=wikipedia.summary(wiki, sentences=1) pesan+="\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except: try: pesan="Over Text Limit! Please Click link\n" pesan+=wikipedia.page(wiki).url cl.sendText(msg.to, pesan) except Exception as e: cl.sendText(msg.to, str(e)) elif "Music " in msg.text: try: songname = msg.text.lower().replace("Music ","") params = {'songname': songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: hasil = 'This is Your Music\n' hasil += 'Judul : ' + song[0] hasil += '\nDurasi : ' + song[1] hasil += '\nLink Download : ' + song[4] cl.sendText(msg.to, hasil) cl.sendText(msg.to, "Please Wait for audio...") cl.sendAudioWithURL(msg.to, song[4]) except Exception as njer: cl.sendText(msg.to, str(njer)) elif "Image " in msg.text: search = msg.text.replace("Image ","") url = 'https://www.google.com/search?espv=2&biw=1366&bih=667&tbm=isch&oq=kuc&aqs=mobile-gws-lite.0.0l5&q=' + search raw_html = (download_page(url)) items = [] items = items + (_images_get_all_items(raw_html)) path = random.choice(items) print path try: cl.sendImageWithURL(msg.to,path) except: pass elif "Profileig " in msg.text: try: instagram = msg.text.replace("Profileig ","") response = requests.get("https://www.instagram.com/"+instagram+"?__a=1") data = response.json() namaIG = str(data['user']['full_name']) bioIG = str(data['user']['biography']) mediaIG = str(data['user']['media']['count']) verifIG = str(data['user']['is_verified']) usernameIG = str(data['user']['username']) followerIG = str(data['user']['followed_by']['count']) profileIG = data['user']['profile_pic_url_hd'] privateIG = str(data['user']['is_private']) followIG = str(data['user']['follows']['count']) link = "LinkNya: " + "https://www.instagram.com/" + instagram text = "Name : "+namaIG+"\nUsername : "+usernameIG+"\nBiography : "+bioIG+"\nFollowerNya : "+followerIG+"\nFollowingNya : "+followIG+"\nPost : "+mediaIG+"\nVerified : "+verifIG+"\nPrivate : "+privateIG+"" "\n" + link cl.sendText(msg.to, str(text)) except Exception as e: cl.sendText(msg.to, str(e)) elif 'instagram ' in msg.text.lower(): try: instagram = msg.text.lower().replace("instagram ","") html = requests.get('https://www.instagram.com/' + instagram + '/?') soup = BeautifulSoup(html.text, 'html5lib') data = soup.find_all('meta', attrs={'property':'og:description'}) text = data[0].get('content').split() data1 = soup.find_all('meta', attrs={'property':'og:image'}) text1 = data1[0].get('content').split() user = "Name: " + text[-2] + "\n" user1 = "Username: " + text[-1] + "\n" followers = "Followers: " + text[0] + "\n" following = "Following: " + text[2] + "\n" post = "Post: " + text[4] + "\n" link = "Link: " + "https://www.instagram.com/" + instagram detail = "********************\n" details = "\n********************=" cl.sendText(msg.to, detail + user + user1 + followers + following + post + link + details) cl.sendImageWithURL(msg.to, text1[0]) except Exception as njer: cl.sendText(msg.to, str(njer)) #=============================================================================# elif "hola" == msg.text.lower(): group = cl.getGroup(msg.to) nama = [contact.mid for contact in group.members] nm1, nm2, nm3, nm4, nm5, jml = [], [], [], [], [], len(nama) if jml <= 100: summon(msg.to, nama) if jml > 100 and jml < 200: for i in range(0, 99): nm1 += [nama[i]] summon(msg.to, nm1) for j in range(100, len(nama)-1): nm2 += [nama[j]] summon(msg.to, nm2) if jml > 200 and jml < 500: for i in range(0, 99): nm1 += [nama[i]] summon(msg.to, nm1) for j in range(100, 199): nm2 += [nama[j]] summon(msg.to, nm2) for k in range(200, 299): nm3 += [nama[k]] summon(msg.to, nm3) for l in range(300, 399): nm4 += [nama[l]] summon(msg.to, nm4) for m in range(400, len(nama)-1): nm5 += [nama[m]] summon(msg.to, nm5) if jml > 500: print "Terlalu Banyak Men 500+" cnt = Message() cnt.text = "Jumlah:\n" + str(jml) + " ᴘᴀʀᴀ ᴍᴏɴsᴛᴇʀ ᴅᴀʀᴀᴛ ʏᴀɴɢ sᴀɴɢᴀᴛ ʙᴜᴀs" cnt.to = msg.to cl.sendText(msg.to,"sᴜᴋsᴇs ᴛᴏ sᴜᴍᴏɴ ᴍᴏɴsᴛᴇʀ ᴅᴇsᴛʀᴏʏᴇᴅ") cl.sendMessage(cnt) #==============================================================================# elif msg.text in ["Set all on"]: if msg.from_ in admsa: wait["protect"] = True wait["cancelprotect"] = True wait["inviteprotect"] = True wait["linkprotect"] = True wait["Backup"] = True wait["Contact"] = True wait["Sambutan"] = True cl.sendText(msg.to,"ʙᴇʀʜᴀsɪʟ ᴍᴇɴɢᴀᴋᴛɪғᴋᴀɴ sᴇᴍᴜᴀ ᴘʀᴏᴛᴇᴄᴛ") else: cl.sendText(msg.to,"Khusus Alvian") elif msg.text in ["Set all off"]: if msg.from_ in admsa: wait["protect"] = False wait["cancelprotect"] = False wait["inviteprotect"] = False wait["linkprotect"] = False wait["Backup"] = False wait["Contact"] = False wait["Sambutan"] = False cl.sendText(msg.to,"ʙᴇʀʜᴀsɪʟ ɴᴏɴᴀᴋᴛɪғᴋᴀɴ sᴇᴍᴜᴀ ᴘʀᴏᴛᴇᴄᴛ") else: cl.sendText(msg.to,"Khusus Alvian") #==============================================================================# elif msg.text.lower().startswith(".cw "): sep = msg.text.split(" ") location = msg.text.lower().replace(sep[0] + " ","") with requests.session() as web: web.headers["user-agent"] = random.choice(wait["userAgent"]) r = web.get("http://api.corrykalam.net/apicuaca.php?kota={}".format(urllib.quote(location))) data = r.text data = json.loads(data) if "result" not in data: ret_ = "╔══[ Weather Status ]" ret_ += "\n╠ Lokasi : " + data[0].replace("Temperatur di kota ","") ret_ += "\n╠ " + data[1]+"°C" ret_ += "\n╠ " + data[2] + "%" ret_ += "\n╠ " + data[3] + " milibar" ret_ += "\n╠ " + data[4] +"km/jam" ret_ += "\n╚══[ Complete ]" else: ret_ = "[ Weather Status ] Error : Lokasi tidak ditemukan" cl.sendText(msg.to, str(ret_)) #-------------------------------------- elif ".pt " in msg.text.lower(): pisah = msg.text.split("t ") location = msg.text.replace(pisah[0]+"t ","") params = {'lokasi':location} with requests.session() as web: r = requests.get("http://api.corrykalam.net/apisholat.php?" + urllib.urlencode(params)) data = r.text data = json.loads(data) if data[1] != "╠ ⌬「 Subuh」: " and data[2] != "╠ ⌬「 Dzuhur」: " and data[3] != "╠ ⌬「 Ashar」: " and data[4] != "╠ ⌬「 Maghrib」: " and data[5] != "╠ ⌬「 Isya」: ": ret_ = "╔══『 Jadwal Sholat 』" ret_ += "\n╠ ⌬「 Lokasi 」: " + data[0] ret_ += "\n" + data[1] ret_ += "\n" + data[2] ret_ += "\n" + data[3] ret_ += "\n" + data[4] ret_ += "\n" + data[5] ret_ += "\n╚══『 Jadwal Sholat 』" else: ret_ = "[ Prayer Schedule ] Error : Location not found" cl.sendText(msg.to, str(ret_)) #---------------------------------------- elif ".lc " in msg.text.lower(): pisah = msg.text.split("c ") location = msg.text.replace(pisah[0]+"c ","") params = {'lokasi':location} with requests.session() as web: web.headers["user-agent"] = random.choice(wait["userAgent"]) r = requests.get("http://api.corrykalam.net/apiloc.php?"+ urllib.urlencode(params)) data = r.text data = json.loads(data) if data[0] != "" and data[1] != "" and data[2] != "": link = "https://www.google.co.id/maps/@{},{},15z".format(str(data[1]), str(data[2])) ret_ = "╔══『 Detail Location 』" ret_ += "\n╠ ⌬「 Lokasi」: " + data[0] ret_ += "\n╠ ⌬「 Google Maps 」: " + link ret_ += "\n╚══『 Detail Location 』" else: ret_ = "[ Details Location ] Error : Location not found" cl.sendText(msg.to, str(ret_)) #-------------------------------------- elif '.wp ' in msg.text.lower(): if msg.from_ in admin: try: wiki = msg.text.lower().replace(".wp ","") wikipedia.set_lang("id") pesan="「 " pesan+=wikipedia.page(wiki).title pesan+=" 」\n\n" pesan+=wikipedia.summary(wiki, sentences=1) pesan+="\n「 " pesan+=wikipedia.page(wiki).url pesan+=" 」" cl.sendText(msg.to, pesan) except: try: pesan="Jumlah text kebanyakan~\nUntuk info lebih lanjut silahkan klik link dibawah ini.\n" pesan+="「 "+wikipedia.page(wiki).url+" 」" cl.sendText(msg.to, pesan) except Exception as e: cl.sendText(msg.to, str(e)) #-------------------------------------- #==============================================================================# #----------------SEARCH SECTION---------------------------------------- elif ".ms " in msg.text: songname = msg.text.replace(".ms ","") params = {"songname": songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: abc = song[3].replace('https://','http://') cl.sendText(msg.to, "Title : " + song[0] + "\nLength : " + song[1] + "\nLink download : " + song[4]) cl.sendText(msg.to, "Lagu " + song[0] + "\nSedang Di Prosses... Tunggu Sebentar ^_^ ") cl.sendAudioWithURL(msg.to,abc) cl.sendText(msg.to, "Selamat Mendengarkan Lagu " + song[0]) elif ".lr" in msg.text.lower(): sep = msg.text.split(" ") search = msg.text.replace(sep[0] + " ","") params = {'songname': search} with requests.session() as web: web.headers["User-Agent"] = random.choice(wait["userAgent"]) r = web.get("https://ide.fdlrcn.com/workspace/yumi-apis/joox?" + urllib.urlencode(params)) try: data = json.loads(r.text) for song in data: songs = song[5] lyric = songs.replace('ti:','Title - ') lyric = lyric.replace('ar:','Artist - ') lyric = lyric.replace('al:','Album - ') removeString = "[1234567890.:]" for char in removeString: lyric = lyric.replace(char,'') ret_ = "╔══[ Lyric ]" ret_ += "\n╠ Nama lagu : {}".format(str(song[0])) ret_ += "\n╠ Durasi : {}".format(str(song[1])) ret_ += "\n╠ Link : {}".format(str(song[3])) ret_ += "\n╚══[ Finish ]\n{}".format(str(lyric)) cl.sendText(msg.to, str(ret_)) except: cl.sendText(to, "Lirik tidak ditemukan") elif ".yt " in msg.text: query = msg.text.replace(".yt ","") with requests.session() as s: s.headers['user-agent'] = 'Mozilla/5.0' url = 'http://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') hasil = "" for a in soup.select('.yt-lockup-title > a[title]'): if '&list=' not in a['href']: hasil += ''.join((a['title'],'\nhttp://www.youtube.com' + a['href'],'\n\n')) cl.sendText(msg.to,hasil) print '[Command] Youtube Search' #------------------------------------------------ #------------------------------------------------- elif "Mid: " in msg.text: mmid = msg.text.replace("Mid: ","") msg.contentType = 13 msg.contentMetadata = {"mid":mmid} cl.sendMessage(msg) elif msg.text.lower() == 'contact on': if wait["contact"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᶜᵒⁿᵗᵃᶜᵗ ᴿᵉᵃᵈʸ ᵒⁿ") else: cl.sendText(msg.to,"ᶜᵒⁿᵗᵃᶜᵗ ᴿᵉᵃᵈʸ ᵒⁿ") else: wait["contact"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬˡˡ ᴿᵉᵃᵈʸ") else: cl.sendText(msg.to,"ᴬˡˡ ᴿᵉᵃᵈʸ") elif msg.text.lower() == 'contact off': if wait["contact"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᵒᶠᶠ") else: cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᵒᶠᶠ") else: wait["contact"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"off ô€œô€„‰already") else: cl.sendText(msg.to,"already Close ô€œô€„‰👈") elif msg.text.lower() == 'protect on': if wait["protect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: wait["protect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴿᵉᵃᵈʸ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") elif msg.text.lower() == 'qrprotect on': if wait["linkprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴸᶦⁿᵏ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴸᶦⁿᵏ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: wait["linkprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴸᶦⁿᵏ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴸᶦⁿᵏ ᴾʳᵒᵗᵉᶜᵗ ᴬᶜᵗᶦᵛᵉᵈ") elif msg.text.lower() == 'inviteprotect on': if wait["inviteprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: wait["inviteprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") elif msg.text.lower() == 'cancelprotect on': if wait["cancelprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: wait["cancelprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") elif msg.text.lower() == 'auto join on': if wait["autoJoin"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: wait["autoJoin"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") elif msg.text in ["Allprotect on","Panick:on"]: if msg.from_ in admin: if wait["inviteprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: wait["inviteprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") if wait["cancelprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ") else: wait["cancelprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") if wait["protect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: cl.sendText(msg.to,"ᶜᵃⁿᶜᵉˡ ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: wait["protect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") else: cl.sendText(msg.to,"ᵃˡᵉʳᵈʸ ᵃᶜᵗᶦᵛᵉ ᵖʳᵒᵗᵉᶜᵗ") if wait["linkprotect"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: wait["linkprotect"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴿᵉᵃᵈʸ ᴬᶜᵗᶦᵛᵉ") elif msg.text in ["Allprotect off","Panick:off"]: if msg.from_ in admin: if wait["inviteprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["inviteprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") if wait["cancelprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["cancelprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᶜᵃⁿᶜᵉˡ ᴰᶦˢᵃᵇˡᵉ") if wait["protect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["protect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") if wait["linkprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["linkprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") elif msg.text.lower() == 'auto join off': if wait["autoJoin"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᵈᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᵈᶦˢᵃᵇˡᵉ") else: wait["autoJoin"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᵈᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴶᵒᶦⁿ ᵈᶦˢᵃᵇˡᵉ") elif msg.text in ["Protect off"]: if wait["protect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["protect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") elif msg.text in ["Qrprotect off","qrprotect off"]: if wait["linkprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["linkprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᵖʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") elif msg.text in ["Inviteprotect off"]: if wait["inviteprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: wait["inviteprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᵉⁿʸᶦⁿᵛᶦᵗᵉ ᴬˡˡ ᴾʳᵒᵗᵉᶜᵗ ᴰᶦˢᵃᵇˡᵉ") elif msg.text in ["Cancelprotect off"]: if wait["cancelprotect"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᶜᵃⁿᶜᵉˡ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᶜᵃⁿᶜᵉˡ ᴰᶦˢᵃᵇˡᵉ") else: wait["cancelprotect"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"already close") else: cl.sendText(msg.to,"ᴾʳᵒᵗᵉᶜᵗ ᶜᵃⁿᶜᵉˡ ᴰᶦˢᵃᵇˡᵉ") elif "Group cancel: " in msg.text: try: strnum = msg.text.replace("Group cancel: ","") if strnum == "off": wait["autoCancel"]["on"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Itu off undangan ditolak👈\nSilakan kirim dengan menentukan jumlah orang ketika Anda menghidupkan👈") else: cl.sendText(msg.to,"Off undangan ditolak👈Sebutkan jumlah terbuka ketika Anda ingin mengirim") else: num = int(strnum) wait["autoCancel"]["on"] = True if wait["lang"] == "JP": cl.sendText(msg.to,strnum + "Kelompok berikut yang diundang akan ditolak secara otomatis👈") else: cl.sendText(msg.to,strnum + "The team declined to create the following automatic invitation") except: if wait["lang"] == "JP": kk.sendText(msg.to,"Nilai tidak benar👈") else: cl.sendText(msg.to,"Weird value🛡") elif msg.text in ["Leave on","Auto leave: on"]: if wait["leaveRoom"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬˡʳᵉᵃᵈʸ ᵃᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᴬˡʳᵉᵃᵈʸ ᵃᶜᵗᶦᵛᵉ") else: wait["leaveRoom"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬˡʳᵉᵃᵈʸ ᵃᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᴬˡʳᵉᵃᵈʸ ᵃᶜᵗᶦᵛᵉ") elif msg.text in ["Leave off","Auto leave: off"]: if wait["leaveRoom"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴸᵉᵃᵛᵉ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴸᵉᵃᵛᵉ ᴰᶦˢᵃᵇˡᵉ") else: wait["leaveRoom"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴸᵉᵃᵛᵉ ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴬᵘᵗᵒ ᴸᵉᵃᵛᵉ ᴰᶦˢᵃᵇˡᵉ") elif msg.text in ["Share on","share on"]: if wait["timeline"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᵃᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᵃᶜᵗᶦᵛᵉ") else: wait["timeline"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᵃᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᵃᶜᵗᶦᵛᵉ") elif msg.text in ["Share off","share off"]: if wait["timeline"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: wait["timeline"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") elif msg.text.lower() == 'set': md = "" if wait["contact"] == True: md+="Dᴀғᴛᴀʀ Sᴇᴛᴛɪɴɢ\n\n▩ ᴄᴏɴᴛᴀᴄᴛ → ᴏɴ\n" else: md+="Dᴀғᴛᴀʀ Sᴇᴛᴛɪɴɢ\n\n▩ ᴄᴏɴᴛᴀᴄᴛ → ᴏғғ\n" if wait["autoJoin"] == True: md+="▩ ᴀᴜᴛᴏ ᴊᴏɪɴ → ᴏɴ\n" else: md+="▩ ᴀᴜᴛᴏ ᴊᴏɪɴ → ᴏғғ\n" if wait["autoCancel"]["on"] == True:md+="▩ ᴀᴜᴛᴏ ᴄᴀɴᴄᴇʟ: " + str(wait["autoCancel"]["members"]) + " → ᴏɴ\n" else: md+="▩ ᴀᴜᴛᴏ ᴄᴀɴᴄᴇʟ → ᴏғғ\n" if wait["leaveRoom"] == True: md+="▩ ᴀᴜᴛᴏ ʟᴇᴀᴠᴇ → ᴏɴ\n" else: md+="▩ ᴀᴜᴛᴏ ʟᴇᴀᴠᴇ → ᴏғғ\n" if wait["timeline"] == True: md+="▩ sʜᴀʀᴇ → ᴏɴ\n" else:md+="▩ sʜᴀʀᴇ → ᴏғғ\n" if wait["autoAdd"] == True: md+="▩ ᴀᴜᴛᴏ ᴀᴅᴅ → ᴏɴ\n" else:md+="▩ ᴀᴜᴛᴏ ᴀᴅᴅ → ᴏғғ\n" if wait["commentOn"] == True: md+="▩ ᴄᴏᴍᴍᴇɴᴛ → ᴏɴ\n" else:md+="▩ ᴄᴏᴍᴍᴇɴᴛ → ᴏғғ\n" if wait["protect"] == True: md+="▩ ᴘʀᴏᴛᴇᴄᴛɪᴏɴ → ᴏɴ\n" else:md+="▩ ᴘʀᴏᴛᴇᴄᴛɪᴏɴ → ᴏғғ\n" if wait["linkprotect"] == True: md+="▩ ᴘʀᴏᴛᴇᴄᴛ ᴜʀʟ → ᴏɴ\n" else:md+="▩ ᴘʀᴏᴛᴇᴄᴛ ᴜʀʟ → ᴏғғ\n" if wait["inviteprotect"] == True: md+="▩ ᴘʀᴏᴛᴇᴄᴛ ɪɴᴠɪᴛᴇ → ᴏɴ\n" else:md+="▩ ᴘʀᴏᴛᴇᴄᴛ ɪɴᴠɪᴛᴇ → ᴏғғ\n" if wait["cancelprotect"] == True: md+="▩ ᴘʀᴏᴛᴇᴄᴛ ᴄᴀɴᴄᴇʟ → ᴏɴ\n" else:md+="▩ ᴘʀᴏᴛᴇᴄᴛ ᴄᴀɴᴄᴇʟ → ᴏғғ\n" if wait["kickMention"] == True: md+="▩ ʀᴇsᴘᴏɴ ᴋɪᴄᴋ → ᴏɴ\n" else:md+="▩ ʀᴇsᴘᴏɴ ᴋɪᴄᴋ → ᴏғғ\n" if wait["likeOn"] == True: md+="▩ ʟɪᴋᴇ → ᴏɴ\n" else:md+="▩ ʟɪᴋᴇ → ᴏғғ\n" if wait["Backup"] == True: md+="▩ ʙᴀᴄᴋᴜᴘ → ᴏɴ\n" else:md+="▩ ʙᴀᴄᴋᴜᴘ → ᴏғғ\n" if wait["Sambutan"] == True: md+="▩ ᴡᴇʟᴄᴏᴍᴇ → ᴏɴ\n" else:md+="▩ ᴡᴇʟᴄᴏᴍᴇ → ᴏғғ\n" if wait["tag"] == True: md+="▩ ʀᴇsᴘᴏɴ ᴛᴀɢ → ᴏɴ\n" else:md+="▩ ʀᴇsᴘᴏɴ ᴛᴀɢ → ᴏғғ\n" if wait["detectMention"] == True: md+="▩ Tᴀɢ → ᴏɴ\n\nPᴏᴡᴇʀᴇᴅ ʙʏ: \n==[ DAENG TEAM BOT ]==" else:md+="▩ Tᴀɢ → ᴏғғ\n\nPᴏᴡᴇʀᴇᴅ ʙʏ:\n==[ DAENG TEAM BOT ]==" cl.sendText(msg.to,md) elif msg.text in ["Like:on"]: if wait["likeOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") else: wait["likeOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") elif msg.text in ["いいね:オフ","Like:off"]: if wait["likeOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: wait["likeOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") elif msg.text in ["Add on","Add auto on"]: if wait["autoAdd"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") else: wait["autoAdd"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") else: cl.sendText(msg.to,"ᴬᶜᵗᶦᵛᵉᵈ") elif msg.text in ["Add off","Add auto off"]: if wait["autoAdd"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: wait["autoAdd"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"ᴰᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"Untuk mengaktifkan-off👈") elif "Message set: " in msg.text: wait["message"] = msg.text.replace("Message set: ","") cl.sendText(msg.to,"We changed the message👈") elif "Help set: " in msg.text: wait["help"] = msg.text.replace("Help set: ","") cl.sendText(msg.to,"We changed the Help👈") elif "Pesan add: " in msg.text: wait["message"] = msg.text.replace("Pesan add: ","") if wait["lang"] == "JP": cl.sendText(msg.to,"Kami mengubah pesan🛡") else: cl.sendText(msg.to,"Change information") elif msg.text in ["Pesan add cek","Message Confirmation"]: if wait["lang"] == "JP": cl.sendText(msg.to,"Additional information is automatically set to the following \n\n" + wait["message"]) else: cl.sendText(msg.to,"Pesan tambahan otomatis telah ditetapkan sebagai berikut \n\n" + wait["message"]) elif msg.text in ["Change","change"]: if wait["lang"] =="JP": wait["lang"] = "TW" cl.sendText(msg.to,"I changed the language to engglis👈") else: wait["lang"] = "JP" cl.sendText(msg.to,"I changed the language to indonesia👈") elif "Message set: " in msg.text: c = msg.text.replace("Message set: ","") if c in [""," ","\n",None]: cl.sendText(msg.to,"Is a string that can not be changed👈") else: wait["comment"] = c cl.sendText(msg.to,"This has been changed👈\n\n" + c) elif "Comment set: " in msg.text: c = msg.text.replace("Comment set: ","") if c in [""," ","\n",None]: cl.sendText(msg.to,"Merupakan string yang tidak bisa diubah👈") else: wait["comment"] = c cl.sendText(msg.to,"Ini telah diubah👈\n\n" + c) elif msg.text in ["Com on","Com:on","Comment on"]: if wait["commentOn"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Aku berada di👈") else: cl.sendText(msg.to,"To open👈") else: wait["commentOn"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ᴀᴜᴛᴏ ᴄᴏᴍᴍᴇɴᴛ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ") else: cl.sendText(msg.to,"ᴄᴏᴍᴍᴇɴᴛ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ") elif msg.text in ["Com off"]: if wait["commentOn"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Hal ini sudah off") else: cl.sendText(msg.to,"It is already turned off") else: wait["commentOn"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Off👈") else: cl.sendText(msg.to,"To turn off") elif msg.text in ["Com","Comment"]: cl.sendText(msg.to,"Auto komentar saat ini telah ditetapkan sebagai berikut:👈\n\n" + str(wait["comment"])) elif msg.text in ["Com Bl"]: wait["wblack"] = True cl.sendText(msg.to,"Please send contacts from the person you want to add to the blacklistô€œô€…”👈") elif msg.text in ["Com hapus Bl"]: wait["dblack"] = True cl.sendText(msg.to,"Please send contacts from the person you want to add from the blacklistô€œô€…”👈") elif msg.text in ["Com Bl cek"]: if wait["commentBlack"] == {}: cl.sendText(msg.to,"Nothing in the blacklistô€œ🛡") else: cl.sendText(msg.to,"The following is a blacklistô€œ👈") mc = "" for mi_d in wait["commentBlack"]: mc += "ãƒ»" +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,mc) elif msg.text.lower() == 'jam on': if wait["clock"] == True: cl.sendText(msg.to,"Sudah On") else: wait["clock"] = True now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) cl.sendText(msg.to,"👉Jam on👈") elif msg.text.lower() == 'jam off': if wait["clock"] == False: cl.sendText(msg.to,"Hal ini sudah off🛡") else: wait["clock"] = False cl.sendText(msg.to,"Adalah Off") elif "Jam say: " in msg.text: n = msg.text.replace("Jam say: ","") if len(n.decode("utf-8")) > 30: cl.sendText(msg.to,"terlalu lama") else: wait["cName"] = n cl.sendText(msg.to,"Ini telah diubah🛡\n\n" + n) elif msg.text.lower() == 'update': if wait["clock"] == True: now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) cl.sendText(msg.to,"Diperbarui👈") else: cl.sendText(msg.to,"Silahkan Aktifkan Nama") elif "lurk on" == msg.text.lower(): if msg.to in wait2['readPoint']: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.now().strftime('%H:%M:%S') wait2['ROM'][msg.to] = {} with open('sider.json', 'w') as fp: json.dump(wait2, fp, sort_keys=True, indent=4) cl.sendText(msg.to," 「Lurking already on」") else: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass wait2['readPoint'][msg.to] = msg.id wait2['readMember'][msg.to] = "" wait2['setTime'][msg.to] = datetime.now().strftime('%H:%M:%S') wait2['ROM'][msg.to] = {} with open('sider.json', 'w') as fp: json.dump(wait2, fp, sort_keys=True, indent=4) cl.sendText(msg.to, "「Set Reading Sider System」\n" + datetime.now().strftime('%H:%M:%S')) print wait2 elif "lurk off" == msg.text.lower(): if msg.to not in wait2['readPoint']: cl.sendText(msg.to," 「Lurking Already off」") else: try: del wait2['readPoint'][msg.to] del wait2['readMember'][msg.to] del wait2['setTime'][msg.to] except: pass cl.sendText(msg.to, "「Delete reading point」\n" + datetime.now().strftime('%H:%M:%S')) elif "lurkers" == msg.text.lower(): if msg.to in wait2['readPoint']: if wait2["ROM"][msg.to].items() == []: cl.sendText(msg.to, "Reader:\nNone") else: chiya = [] for rom in wait2["ROM"][msg.to].items(): chiya.append(rom[1]) cmem = cl.getContacts(chiya) zx = "" zxc = "" zx2 = [] xpesan = '' for x in range(len(cmem)): xname = str(cmem[x].displayName) pesan = '' pesan2 = pesan+"@a\n" xlen = str(len(zxc)+len(xpesan)) xlen2 = str(len(zxc)+len(pesan2)+len(xpesan)-1) zx = {'S':xlen, 'E':xlen2, 'M':cmem[x].mid} zx2.append(zx) zxc += pesan2 msg.contentType = 0 print zxc msg.text = xpesan+ zxc + "\nBefore: %s\nAfter: %s"%(wait2['setTime'][msg.to],datetime.now().strftime('%H:%M:%S')) lol ={'MENTION':str('{"MENTIONEES":'+json.dumps(zx2).replace(' ','')+'}')} print lol msg.contentMetadata = lol try: cl.sendMessage(msg) except Exception as error: print error pass #-----------------------[Add Staff Section]------------------------ elif "About1" in msg.text: #ABOUT BOT# if msg.from_ in admin: x = "「ᴀʙᴏᴜᴛ ʙᴏᴛ」\nsᴇʟғʙᴏᴛ “ʙᴏᴛ” ᴇᴅɪᴛɪᴏɴ♪\n" x+="ᴛɪᴍᴇ: " + datetime.today().strftime('%H:%M:%S') + " \n\n" x+="「ʙᴏᴛ Iɴғᴏʀᴍᴀᴛɪᴏɴ」\n" x+="╠═════════════════════\n" x+="╠ ʙᴏᴛ ᴄʀᴇᴀᴛᴇᴅ ɪɴ: 06-01-2018\n" x+="╠️ ʙᴏᴛ ᴄʀᴇᴀᴛᴏʀ: 「ᵃˡᵛᶦᵃⁿᴘᴜᴛʀᴀ」\n" x+="╠️ ʙᴏᴛ Oᴡɴᴇʀ: "+cl.getProfile().displayName+"\n" x+="╠️ ʙᴏᴛ ᴛʏᴘᴇ: Sᴇʟғʙᴏᴛ\n" x+="╠️ ᴍʏᴛᴇᴀᴍ: sᴋɪʟᴇʀʀ ʜᴏʟʟᴏᴡ\n" x+="╠️ Vᴇʀsɪᴏɴ: 1.01\n" x+="╠═════════════════════\n" x+= "「Cᴏɴᴛᴀᴄᴛ Pᴇʀsᴏɴᴀʟ」\n" x+="「ID LINE: line://ti/p/~alvian_putra777 」\n\n" x+="「ᵃˡᵛᶦᵃⁿᴘᴜᴛʀᴀ」" cl.sendText(msg.to,x) msg.contentType = 13 msg.contentMetadata = {'mid': admin} cl.sendMessage(msg) #----------------------------------------------------------- elif '/ti/g/' in msg.text.lower(): link_re = re.compile('(?:line\:\/|line\.me\/R)\/ti\/g\/([a-zA-Z0-9_-]+)?') links = link_re.findall(msg.text) n_links=[] for l in links: if l not in n_links: n_links.append(l) for ticket_id in n_links: if wait["atjointicket"] == True: group=cl.findGroupByTicket(ticket_id) cl.acceptGroupInvitationByTicket(group.id,ticket_id) cl.sendText(msg.to,"Sukses join ke grup %s" % str(group.name)) #--------------------------------------------------- elif ("Maav!" in msg.text): if msg.from_ in admin: targets = [] key = eval(msg.contentMetadata["MENTION"]) key["MENTIONEES"][0]["M"] for x in key["MENTIONEES"]: targets.append(x["M"]) for target in targets: try: cl.kickoutFromGroup(msg.to,[target]) except: cl.sendText(msg.to,"Error") #----------------------------------------------------------- elif "Gift @" in msg.text: _name = msg.text.replace("Gift @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: msg.contentType = 9 msg.contentMetadata={'PRDID': '89131c1a-e549-4bd5-9e60-e24de0d2e252', 'PRDTYPE': 'THEME', 'MSGTPL': '10'} msg.text = None cl.sendMessage(msg,g) cl.sendMessage(msg,g) #---------------------------------------------------------------- elif "Mode on" in msg.text: try: del cctv['point'][msg.to] del cctv['sidermem'][msg.to] del cctv['cyduk'][msg.to] except: pass cctv['point'][msg.to] = msg.id cctv['sidermem'][msg.to] = "" cctv['cyduk'][msg.to]=True wait["Sider"] = True cl.sendText(msg.to,"「ᴍᴏᴅᴇ ᴏɴ sɪᴅᴇʀ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ」") elif "Mode off" in msg.text: if msg.to in cctv['point']: cctv['cyduk'][msg.to]=False wait["Sider"] = False cl.sendText(msg.to, "「ᴍᴏᴅᴇ ᴏɴ sɪᴅᴇʀ ᴅɪ ɴᴏɴᴀᴋᴛɪғᴋᴀɴ」") else: cl.sendText(msg.to, "「ᴍᴏᴅᴇ ᴏɴ ᴅᴜʟᴜ ᴅᴏᴅᴏʟ」") #----------------------------------------------------------- elif msg.text in ["Friendlist"]: contactlist = cl.getAllContactIds() kontak = cl.getContacts(contactlist) num=1 msgs="═════════List Friend═════════" for ids in kontak: msgs+="\n[%i] %s" % (num, ids.displayName) num=(num+1) msgs+="\n═════════List Friend═════════\n\nTotal Friend : %i" % len(kontak) cl.sendText(msg.to, msgs) elif msg.text in ["Memlist"]: kontak = cl.getGroup(msg.to) group = kontak.members num=1 msgs="═════════List Member═════════-" for ids in group: msgs+="\n[%i] %s" % (num, ids.displayName) num=(num+1) msgs+="\n═════════List Member═════════\n\nTotal Members : %i" % len(group) cl.sendText(msg.to, msgs) elif "Friendinfo: " in msg.text: saya = msg.text.replace('Friendinfo: ','') gid = cl.getAllContactIds() for i in gid: h = cl.getContact(i).displayName contact = cl.getContact(i) cu = cl.channel.getCover(i) path = str(cu) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus if h == saya: cl.sendText(msg.to,"Nama :\n" + contact.displayName + "\n\nBio :\n" + contact.statusMessage) cl.sendText(msg.to,"Profile Picture " + contact.displayName) cl.sendImageWithURL(msg.to,image) cl.sendText(msg.to,"Cover " + contact.displayName) cl.sendImageWithURL(msg.to,path) elif "Friendpict: " in msg.text: saya = msg.text.replace('Friendpict: ','') gid = cl.getAllContactIds() for i in gid: h = cl.getContact(i).displayName gna = cl.getContact(i) if h == saya: cl.sendImageWithURL(msg.to,"http://dl.profile.line.naver.jp/"+ gna.pictureStatus) #----------------------------------------------------------- elif msg.text in ["Kalender","Time","Waktu"]: timeNow = datetime.now() timeHours = datetime.strftime(timeNow,"(%H:%M)") day = ["Sunday", "Monday", "Tuesday", "Wednesday", "Thursday","Friday", "Saturday"] hari = ["Minggu", "Senin", "Selasa", "Rabu", "Kamis", "Jumat", "Sabtu"] bulan = ["Januari", "Februari", "Maret", "April", "Mei", "Juni", "Juli", "Agustus", "September", "Oktober", "November", "Desember"] inihari = datetime.today() hr = inihari.strftime('%A') bln = inihari.strftime('%m') for i in range(len(day)): if hr == day[i]: hasil = hari[i] for k in range(0, len(bulan)): if bln == str(k): bln = bulan[k-1] rst = hasil + ", " + inihari.strftime('%d') + " - " + bln + " - " + inihari.strftime('%Y') + "\nJam : [ " + inihari.strftime('%H:%M:%S') + " ]" cl.sendText(msg.to, rst) #----------------------------------------------------------- elif "tagmem" == msg.text: group = cl.getGroup(msg.to) mem = [contact.mid for contact in group.members] for mm in mem: xname = cl.getContact(mm).displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" " msg.contentMetadata = {'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(mm)+'}]}','EMTVER':'4'} try: cl.sendMessage(msg) except Exception as e: print str(e) elif msg.text in ["Tagall","Tag all"]: group = cl.getGroup(msg.to) nama = [contact.mid for contact in group.members] cb = "" cb2 = "" strt = int(0) akh = int(0) for md in nama: akh = akh + int(6) cb += """{"S":"""+json.dumps(str(strt))+""","E":"""+json.dumps(str(akh))+""","M":"""+json.dumps(md)+"},""" strt = strt + int(7) akh = akh + 1 cb2 += "@nrik \n" cb = (cb[:int(len(cb)-1)]) msg.contentType = 0 msg.text = cb2 msg.contentMetadata ={'MENTION':'{"MENTIONEES":['+cb+']}','EMTVER':'4'} try: cl.sendMessage(msg) #cl.sendText(receiver, "Members :"+str(jml)) except Exception as error: print error #-----------------------------------------------------------) elif msg.text in ["Papay"]: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: cl.sendText(msg.to,"Bye Bye😘 " + str(ginfo.name) + "") cl.leaveGroup(msg.to) except: pass #----------------------------------------------------------- elif msg.text in ["About"]: today = datetime.today() future = datetime(2020,01,31) days = (str(future - today)) comma = days.find(",") days = days[:comma] cl.sendText(msg.to,"「ᴀʙᴏᴜᴛ 」\n「ᴛᴇᴀᴍ sᴋɪʟᴇʀʀ ʜᴏʟʟᴏᴡ」 \n 「ᴘᴏᴡᴇʀᴇᴅ ʙʏ : ᴀʟᴠɪᴀɴ ᴘᴜᴛʀᴀ」 \n 「sᴇʟғʙᴏᴛ ᴇᴅɪᴛɪᴏɴ」 \n\n「Subscription」\nTeam bot skiller hollow \nDont kick me from groups \nᴍᴀsᴀ ᴀᴋᴛɪғ sᴇʟғʙᴏᴛ \n Expired: " + "\n In days: " + days + "\n\n「Contact」\n・ LINE me \n http://line.me/ti/p/~alvian_putra777") msg.contentType = 13 msg.contentMetadata = {'mid':mid} cl.sendMessage(msg) #----------------------------------------------------------- #----------------------ADMIN COMMAND------------------------------# elif ("Fuck " in msg.text): if msg.from_ in admin: targets = [] key = eval(msg.contentMetadata["MENTION"]) key["MENTIONEES"][0]["M"] for x in key["MENTIONEES"]: targets.append(x["M"]) for target in targets: try: cl.kickoutFromGroup(msg.to,[target]) #cl.sendText(msg.to,"Fᴜᴄᴋ Fᴏʀ Yᴏᴜ Iᴅɪᴏᴛs" except: cl.sendText(msg.to,"Error") elif "Halo" in msg.text: group = cl.getGroup(msg.to) k = len(group.members)//100 for j in xrange(k+1): msg = Message(to=msg.to) txt = u'' s=0 d=[] for i in group.members[j*100 : (j+1)*100]: d.append({"S":str(s), "E" :str(s+8), "M":i.mid}) s += 9 txt += u'@Krampus\n' msg.text = txt msg.contentMetadata = {u'MENTION':json.dumps({"MENTIONEES":d})} cl.sendMessage(msg) elif "Kickall" in msg.text: if msg.from_ in admin: nk0 = msg.text.replace("Kickall","") nk1 = nk0.lstrip() nk2 = nk1.replace("all","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"user does not exist") pass else: for target in targets: if not target in Bots: if not target in admin: try: klist=[cl] kicker=random.choice(klist) kicker.kickoutFromGroup(msg.to,[target]) print (msg.to,[g.mid]) except: cl.sendText(msg.to,"Sukses Bosqu") cl.sendText(msg.to,"masih mauko sundala") elif msg.text in ["List grup"]: if msg.from_ in admin: gid = cl.getGroupIdsJoined() h = "===[List Groups]===" total = str(len(gid)) for i in gid: if i is not None: try: groups = cl.getGroup(i) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" h += "\n[" + groups.name + "] ->(" + members +")\n -+GroupID : " + i except: break else: break if gid is not None: cl.sendText(msg.to,h + "\n|[Total Groups]| : " + str(total)) else: cl.sendText(msg.to,"Tidak ada grup saat ini") ginv = cl.getGroupIdsInvited() j = "===[List Groups Invited]===" totals = str(len(ginv)) for z in ginv: if z is not None: try: groups = cl.getGroup(z) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" j += "\n[" + groups.name + "] ->(" + members + ")\n -+GroupID : " + i except: break else: break if ginv is not None: cl.sendText(msg.to,j + "\n|[Total Groups Invited]| : " + str(totals)) else: cl.sendText(msg.to,"Tidak ada grup tertunda saat ini") elif msg.text in ["Info grup"]: if msg.from_ in admin: gid = cl.getGroupIdsJoined() cl.sendText(msg.to,"===[List Details Group]===") total = str(len(gid)) for i in gid: if i is not None: try: groups = ki.getGroup(i) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" h = "[" + groups.name + "]\n -+GroupID : " + i + "\n -+Members : " + members + "\n -+MembersPending : " + pendings + "\n -+Creator : " + groups.creator.displayName except: break else: break if gid is not None: cl.sendText(msg.to,h) cl.sendText(msg.to,"|[Total Groups]| : " + str(total)) else: cl.sendText(msg.to,"Tidak ada grup saat ini") ginv = cl.getGroupIdsInvited() cl.sendText(msg.to,"===[List Details Groups Invited]===") totals = str(len(ginv)) for z in ginv: if z is not None: try: groups = cl.getGroup(z) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" j = "[" + groups.name + "]\n -+GroupID : " + i + "\n -+Members : " + members + "\n -+MembersPending : " + pendings + "\n -+Creator : " + groups.creator.displayName except: break else: break if ginv is not None: cl.sendText(msg.to,j) cl.sendText(msg.to,"|[Total Groups Invited]| : " + str(totals)) else: cl.sendText(msg.to,"Tidak ada grup tertunda saat ini") elif "Details grup: " in msg.text: if msg.from_ in admin: gid = msg.text.replace("/DetailsGroup: ","") if gid in [""," "]: cl.sendText(msg.to,"Grup id tidak valid") else: try: groups = cl.getGroup(gid) if groups.members is not None: members = str(len(groups.members)) else: members = "0" if groups.invitee is not None: pendings = str(len(groups.invitee)) else: pendings = "0" h = "[" + groups.name + "]\n -+GroupID : " + gid + "\n -+Members : " + members + "\n -+MembersPending : " + pendings + "\n -+Creator : " + groups.creator.displayName + "\n -+GroupPicture : http://dl.profile.line.naver.jp/" + groups.pictureStatus cl.sendText(msg.to,h) except Exception as error: cl.sendText(msg.to,(error)) elif "Cancel invite: " in msg.text: if msg.from_ in admin: gids = msg.text.replace("Cancel invite: ","") gid = cl.getGroup(gids) for i in gid: if i is not None: try: cl.rejectGroupInvitation(i) except: cl.sendText(msg.to,"Error!") break else: break if gid is not None: cl.sendText(msg.to,"Berhasil tolak undangan dari grup " + gid.name) else: cl.sendText(msg.to,"Grup tidak ditemukan") elif msg.text in ["Accept invite"]: if msg.from_ in admin: gid = cl.getGroupIdsInvited() _list = "" for i in gid: if i is not None: gids = cl.getGroup(i) _list += gids.name cl.acceptGroupInvitation(i) else: break if gid is not None: cl.sendText(msg.to,"Berhasil terima semua undangan dari grup :\n" + _list) else: cl.sendText(msg.to,"Tidak ada grup yang tertunda saat ini") elif "Myname: " in msg.text: string = msg.text.replace("Myname: ","") if len(string.decode('utf-8')) <= 20: profile = cl.getProfile() profile.displayName = string cl.updateProfile(profile) cl.sendText(msg.to,"Update Bio" + string) elif "Mybio: " in msg.text: string = msg.text.replace("Mybio: ","") if len(string.decode('utf-8')) <= 500: profile = cl.getProfile() profile.statusMessage = string cl.updateProfile(profile) cl.sendText(msg.to,"Update Bio" + string) elif ("Gname: " in msg.text): if msg.toType == 2: group = cl.getGroup(msg.to) group.name = msg.text.replace("Gname: ","") cl.updateGroup(group) else: cl.sendText(msg.to,"Tidak Dapat Mengubah Nama Grup") elif "Kick: " in msg.text: if msg.from_ in admin: midd = msg.text.replace("Kick: ","") cl.kickoutFromGroup(msg.to,[midd]) elif "Invite: " in msg.text: if msg.from_ in admin: midd = msg.text.replace("Invite: ","") cl.findAndAddContactsByMid(midd) cl.inviteIntoGroup(msg.to,[midd]) elif "Mysteal @" in msg.text: print "[Command]dp executing" _name = msg.text.replace("Mysteal @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) path = "http://dl.profile.line-cdn.net/" + contact.pictureStatus cl.sendImageWithURL(msg.to, path) except: pass print "[Command]dp executed" elif "Mycopy @" in msg.text: if msg.toType == 2: if msg.from_ in admin: print "[COPY] Ok" _name = msg.text.replace("Mycopy @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to, "Not Found...") else: for target in targets: try: cl.cloneContactProfile(target) cl.sendText(msg.to, "Sukses Copy Profile") except Exception as e: print e elif "Copy @" in msg.text: if msg.toType == 2: if msg.from_ in admin: print "[COPY] Ok" _name = msg.text.replace("Copy @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to, "Tidak Ada Target Copy") else: for target in targets: try: ki.cloneContactProfile(target) ki2.cloneContactProfile(target) ki3.cloneContactProfile(target) ki4.cloneContactProfile(target) ki5.cloneContactProfile(target) ki6.cloneContactProfile(target) ki7.cloneContactProfile(target) ki8.cloneContactProfile(target) #ki9.cloneContactProfile(target) #k1.cloneContactProfile(target) #k2.cloneContactProfile(target) #k3.cloneContactProfile(target) #k4.cloneContactProfile(target) #k5.cloneContactProfile(target) #k6.cloneContactProfile(target) #k7.cloneContactProfile(target) #k8.cloneContactProfile(target) #k9.cloneContactProfile(target) #w1.cloneContactProfile(target) #w2.cloneContactProfile(target) #w3.cloneContactProfile(target) #w4.cloneContactProfile(target) #w5.cloneContactProfile(target) #w6.cloneContactProfile(target) #w7.cloneContactProfile(target) #w8.cloneContactProfile(target) #w9.cloneContactProfile(target) #l1.cloneContactProfile(target) #l2.cloneContactProfile(target) #l3.cloneContactProfile(target) #l4.cloneContactProfile(target) #k5.cloneContactProfile(target) cl.sendText(msg.to, "Sukses Copy Profile") except Exception as e: print e elif msg.text in ["Mybackup"]: try: cl.updateDisplayPicture(mybackup.pictureStatus) cl.updateProfile(mybackup) cl.sendText(msg.to, "Backup Sukses Bosqu") except Exception as e: cl.sendText(msg.to, str (e)) elif msg.text in ["Backup"]: try: ki.updateDisplayPicture(backup.pictureStatus) ki.updateProfile(backup) ki2.updateDisplayPicture(backup.pictureStatus) ki2.updateProfile(backup) ki3.updateDisplayPicture(backup.pictureStatus) ki3.updateProfile(backup) ki4.updateDisplayPicture(backup.pictureStatus) ki4.updateProfile(backup) ki5.updateDisplayPicture(backup.pictureStatus) ki5.updateProfile(backup) ki6.updateDisplayPicture(backup.pictureStatus) ki6.updateProfile(backup) #ki7.updateDisplayPicture(backup.pictureStatus) #ki7.updateProfile(backup) #ki8.updateDisplayPicture(backup.pictureStatus) #ki8.updateProfile(backup) #ki9.updateDisplayPicture(backup.pictureStatus) #ki9.updateProfile(backup) #k1.updateDisplayPicture(backup.pictureStatus) #k1.updateProfile(backup) #k2.updateDisplayPicture(backup.pictureStatus) #k2.updateProfile(backup) #k3.updateDisplayPicture(backup.pictureStatus) #k3.updateProfile(backup) #k4.updateDisplayPicture(backup.pictureStatus) #k4.updateProfile(backup) #k5.updateDisplayPicture(backup.pictureStatus) #k5.updateProfile(backup) #k6.updateDisplayPicture(backup.pictureStatus) #k6.updateProfile(backup) #k7.updateDisplayPicture(backup.pictureStatus) #k7.updateProfile(backup) #k8.updateDisplayPicture(backup.pictureStatus) #k8.updateProfile(backup) #k9.updateDisplayPicture(backup.pictureStatus) #k9.updateProfile(backup) #w1.updateDisplayPicture(backup.pictureStatus) #w1.updateProfile(backup) #w2.updateDisplayPicture(backup.pictureStatus) #w2.updateProfile(backup) #w3.updateDisplayPicture(backup.pictureStatus) #w3.updateProfile(backup) #w4.updateDisplayPicture(backup.pictureStatus) #w4.updateProfile(backup) #w5.updateDisplayPicture(backup.pictureStatus) #w5.updateProfile(backup) #w6.updateDisplayPicture(backup.pictureStatus) #w6.updateProfile(backup) #w7.updateDisplayPicture(backup.pictureStatus) #w7.updateProfile(backup) #w8.updateDisplayPicture(backup.pictureStatus) #w8.updateProfile(backup) #w9.updateDisplayPicture(backup.pictureStatus) #w9.updateProfile(backup) #l1.updateDisplayPicture(backup.pictureStatus) #wl1.updateProfile(backup) #l2.updateDisplayPicture(backup.pictureStatus) #l2.updateProfile(backup) #l3.updateDisplayPicture(backup.pictureStatus) #l3.updateProfile(backup) #l4.updateDisplayPicture(backup.pictureStatus) #l4.updateProfile(backup) #l5.updateDisplayPicture(backup.pictureStatus) #l5.updateProfile(backup) #cl.sendText(msg.to, "Backup Sukses Bosqu") except Exception as e: cl.sendText(msg.to, str (e)) elif "Bc:ct " in msg.text: bctxt = msg.text.replace("Bc:ct ", "") a = cl.getAllContactIds() for manusia in a: cl.sendText(manusia, (bctxt)) elif "Bot:ct " in msg.text: if msg.from_ in admin: bctxt = msg.text.replace("Bot:ct ", "") b = ki.getAllContactIds() for manusia in b: ki.sendText(manusia, (bctxt)) c = ki2.getAllContactIds() for manusia in c: ki2.sendText(manusia, (bctxt)) d = ki3.getAllContactIds() for manusia in d: ki3.sendText(manusia, (bctxt)) e = ki4.getAllContactIds() for manusia in e: ki4.sendText(manusia, (bctxt)) f = ki5.getAllContactIds() for manusia in f: ki5.sendText(manusia, (bctxt)) g = ki6.getAllContactIds() for manusia in g: ki6.sendText(manusia, (bctxt)) elif "Bc:grup " in msg.text: bctxt = msg.text.replace("Bc:grup ", "") a = cl.getGroupIdsJoined() for manusia in a: cl.sendText(manusia, (bctxt)) elif "Bot:grup " in msg.text: if msg.from_ in admin: bctxt = msg.text.replace("Bot:grup ", "") b = ki.getGroupIdsJoined() for manusia in b: ki.sendText(manusia, (bctxt)) c = ki2.getGroupIdsJoined() for manusia in c: ki2.sendText(manusia, (bctxt)) d = ki3.getGroupIdsJoined() for manusia in d: ki3.sendText(manusia, (bctxt)) e = ki4.getGroupIdsJoined() for manusia in e: ki4.sendText(manusia, (bctxt)) f = ki5.getGroupIdsJoined() for manusia in f: ki5.sendText(manusia, (bctxt)) g = ki6.getGroupIdsJoined() for manusia in g: ki6.sendText(manusia, (bctxt)) elif "Spam " in msg.text: txt = msg.text.split(" ") jmlh = int(txt[2]) teks = msg.text.replace("Spam "+str(txt[1])+" "+str(jmlh)+" ","") tulisan = jmlh * (teks+"\n") if txt[1] == "on": if jmlh <= 100000: for x in range(jmlh): cl.sendText(msg.to, teks) else: cl.sendText(msg.to, "Out of Range!") elif txt[1] == "off": if jmlh <= 100000: cl.sendText(msg.to, tulisan) else: cl.sendText(msg.to, "Out Of Range!") elif "Speed" in msg.text: start = time.time() cl.sendText(msg.to, "WAIT▒▒▒▓▓▓LOAD...99% \nsᴛᴀʀᴛɪɴɢ sᴘᴇᴇᴅ sᴇʟғʙᴏᴛ \nɪɴᴄʟᴏᴜᴅɪɴɢ.....") elapsed_time = time.time() - start cl.sendText(msg.to, "「%sDetik」" % (elapsed_time)) elif msg.text.lower() == ".me": msg.contentType = 13 msg.contentMetadata = {'mid': mid} cl.sendMessage(msg) profile = cl.getProfile() xname = profile.displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" :)" msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(mid)+'}]}','EMTVER':'4'} cl.sendMessage(msg) elif msg.text.lower() == "Tag me": profile = cl.getProfile() xname = profile.displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" 👍" msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(mid)+'}]}','EMTVER':'4'} cl.sendMessage(msg) #---------------------------------------- elif cms(msg.text,["creator","Creator"]): msg.contentType = 13 msg.contentMetadata = {'mid': admsa} cl.sendText(msg.to,"Mʏ ᴄʀᴇᴀᴛᴏʀ ɪɴ ʙᴏᴛs") cl.sendMessage(msg) cl.sendText(msg.to,"Nɪᴄᴇ ᴄᴏᴏʟʟ ᴀɴᴅ ʜᴀɴᴅsᴏᴍᴇ") elif "Inviteme: " in msg.text: if msg.from_ in admin: gid = msg.text.replace("Inviteme: ","") if gid == "": cl.sendText(msg.to,"Invalid group id") else: try: cl.findAndAddContactsByMid(msg.from_) cl.inviteIntoGroup(gid,[msg.from_]) except: cl.sendText(msg.to,"Mungkin saya tidak di dalaam grup itu") elif msg.text in ["Clear grup"]: if msg.from_ in admin: gid = cl.getGroupIdsJoined() gid = ki.getGroupIdsJoined() gid = ki2.getGroupIdsJoined() gid = ki3.getGroupIdsJoined() gid = ki4.getGroupIdsJoined() gid = ki5.getGroupIdsJoined() gid = ki6.getGroupIdsJoined() #gid = ki7.getGroupIdsJoined() for i in gid: ki.leaveGroup(i) ki2.leaveGroup(i) ki3.leaveGroup(i) ki4.leaveGroup(i) ki5.leaveGroup(i) ki6.leaveGroup(i) #ki7.leaveGroup(i) if wait["lang"] == "JP": cl.sendText(msg.to,"[Complite Leave All Groups]") else: cl.sendText(msg.to,"He declined all invitations") elif "Ginfo" in msg.text: group = cl.getGroup(msg.to) try: gCreator = group.creator.displayName except: gCreator = "Tidak ditemukan" if group.invitee is None: gPending = "0" else: gPending = str(len(group.invitee)) if group.preventJoinByTicket == True: gQr = "Tertutup" gTicket = "Tidak ada" else: gQr = "Terbuka" gTicket = "https://line.me/R/ti/g/{}".format(str(cl.reissueGroupTicket(group.id))) ret_ = "╔════════Grup Info═════════" ret_ += "\n╠Nama Grup : {}".format(group.name) ret_ += "\n╠ID Grup : {}".format(group.id) ret_ += "\n╠Pembuat Grup : {}".format(gCreator) ret_ += "\n╠Jumlah Member : {}".format(str(len(group.members))) ret_ += "\n╠Jumlah Pending : {}".format(gPending) ret_ += "\n╠Grup QR : {}".format(gQr) ret_ += "\n╠Grup URL : {}".format(gTicket) ret_ += "\n╚════════Grup Info═════════" cl.sendText(msg.to, str(ret_)) cl.sendImageWithURL(msg.to,"http://dl.profile.line.naver.jp/"+ group.pictureStatus) elif msg.text == "Uni": cl.sendText(msg.to,"Hai Perkenalkan.....\nNama saya siapa ya?\n\n1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1.1\n\nMakasih Sudah Dilihat :)\nJangan Dikick ampun mzz :v") elif ".music" in msg.text.lower(): songname = msg.text.lower().replace(".music","") params = {"songname":" songname"} r = requests.get('https://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: cl.sendMessage(msg.to, song[4]) elif ".Youtube " in msg.text: query = msg.text.replace(".Youtube ","") with requests.session() as s: s.headers['user-agent'] = 'Mozilla/5.0' url = 'http://www.youtube.com/results' params = {'search_query': query} r = s.get(url, params=params) soup = BeautifulSoup(r.content, 'html5lib') for a in soup.select('.yt-lockup-title > a[title]'): if '&List' not in a['href']: cl.sendText(msg.to,'http://www.youtube.com' + a['href'] + a['title']) elif "Block @" in msg.text: if msg.toType == 2: print "[block] OK" _name = msg.text.replace("Block @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to, "Not Found...") else: for target in targets: try: cl.blockContact(target) cl.sendText(msg.to, "Success block contact~") except Exception as e: print e elif msg.text.lower() == 'blocklist': blockedlist = cl.getBlockedContactIds() cl.sendText(msg.to, "Please wait...") kontak = cl.getContacts(blockedlist) num=1 msgs="User Blocked List\n" for ids in kontak: msgs+="\n%i. %s" % (num, ids.displayName) num=(num+1) msgs+="\n\nTotal %i blocked user(s)" % len(kontak) cl.sendText(msg.to, msgs) elif msg.text in ["Glist"]: gid = cl.getGroupIdsJoined() h = "" for i in gid: h += "[★] %s\n" % (cl.getGroup(i).name +"→["+str(len(cl.getGroup(i).members))+"]") cl.sendText(msg.to,"▒▒▓█[List Group]█▓▒▒\n"+ h +"Total Group =" +"["+str(len(gid))+"]") elif msg.text in ["Invite"]: if msg.from_ in admin: wait["ricoinvite"] = True cl.sendText(msg.to,"send contact 😉") elif ("Cek " in msg.text): key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] mi = cl.getContact(key1) cl.sendText(msg.to,"Mid:" + key1) elif "Mid @" in msg.text: if msg.from_ in admin: _name = msg.text.replace("Mid @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(msg.to, g.mid) else: pass elif "Mymid" == msg.text: cl.sendText(msg.to,mid) elif msg.text in ["Link on"]: if msg.from_ in admin: if msg.toType == 2: group = cl.getGroup(msg.to) group.preventJoinByTicket = False cl.updateGroup(group) if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᴳʳᵒᵘᵖˢ ᴬᶜᵗᶦᵛᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᴳʳᵒᵘᵖˢ ᴬᶜᵗᶦᵛᵉ") else: if wait["lang"] == "JP": cl.sendText(msg.to,"It can not be used outside the group ô€œô€„‰👈") else: cl.sendText(msg.to,"Can not be used for groups other than ô€œô€„‰") elif msg.text in ["Link off"]: if msg.toType == 2: group = cl.getGroup(msg.to) group.preventJoinByTicket = True cl.updateGroup(group) if wait["lang"] == "JP": cl.sendText(msg.to,"ᵁʳˡ ᴳʳᵒᵘᵖˢ ᵈᶦˢᵃᵇˡᵉ") else: cl.sendText(msg.to,"ᵁʳˡ ᴳʳᵒᵘᵖˢ ᵈᶦˢᵃᵇˡᵉ") else: if wait["lang"] == "JP": cl.sendText(msg.to,"It can not be used outside the group 👈") else: cl.sendText(msg.to,"Can not be used for groups other than ô€œ") elif msg.text in ["url","Url"]: if msg.toType == 2: g = cl.getGroup(msg.to) if g.preventJoinByTicket == True: g.preventJoinByTicket = False cl.updateGroup(g) gurl = cl.reissueGroupTicket(msg.to) cl.sendText(msg.to,"ᴜʀʟ: line://ti/g/" + gurl) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Hal ini tidak dapat digunakan di luar kelompok") else: cl.sendText(msg.to,"Tidak dapat digunakan untuk kelompok selain") elif msg.text in ["Gurl"]: if msg.toType == 2: x = cl.getGroup(msg.to) if x.preventJoinByTicket == True: x.preventJoinByTicket = False cl.updateGroup(x) gurl = cl.reissueGroupTicket(msg.to) cl.sendText(msg.to,"ᴜʀʟ: line://ti/g/" + gurl) else: if wait["lang"] == "JP": cl.sendText(msg.to,"Can't be used outside the group") else: cl.sendText(msg.to,"Not for use less than group") elif msg.text in ["S1glist"]: gs = ki.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki.getGroup(i).name + " | [ " + str(len (ki.getGroup(i).members)) + " ]") ki.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S2glist"]: gs = ki2.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki2.getGroup(i).name + " | [ " + str(len (ki2.getGroup(i).members)) + " ]") ki2.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S3glist"]: gs = ki3.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki3.getGroup(i).name + " | [ " + str(len (ki3.getGroup(i).members)) + " ]") ki3.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S4glist"]: gs = ki4.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki4.getGroup(i).name + " | [ " + str(len (ki4.getGroup(i).members)) + " ]") ki4.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S5glist"]: gs = ki5.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki5.getGroup(i).name + " | [ " + str(len (ki5.getGroup(i).members)) + " ]") ki5.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S6glist"]: gs = ki6.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki6.getGroup(i).name + " | [ " + str(len (ki6.getGroup(i).members)) + " ]") ki6.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S7glist"]: gs = ki7.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki7.getGroup(i).name + " | [ " + str(len (ki7.getGroup(i).members)) + " ]") ki7.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S8glist"]: gs = ki8.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki8.getGroup(i).name + " | [ " + str(len (ki8.getGroup(i).members)) + " ]") ki8.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S9glist"]: gs = ki9.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (ki9.getGroup(i).name + " | [ " + str(len (ki9.getGroup(i).members)) + " ]") ki9.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S10glist"]: gs = k1.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k1.getGroup(i).name + " | [ " + str(len (k1.getGroup(i).members)) + " ]") k1.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S11glist"]: gs = k2.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k2.getGroup(i).name + " | [ " + str(len (k2.getGroup(i).members)) + " ]") k2.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S12glist"]: gs = k3.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k3.getGroup(i).name + " | [ " + str(len (k3.getGroup(i).members)) + " ]") k3.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S13glist"]: gs = k4.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k4.getGroup(i).name + " | [ " + str(len (k4.getGroup(i).members)) + " ]") k4.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S14glist"]: gs = k5.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k5.getGroup(i).name + " | [ " + str(len (k5.getGroup(i).members)) + " ]") k5.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S15glist"]: gs = k6.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k6.getGroup(i).name + " | [ " + str(len (k6.getGroup(i).members)) + " ]") k6.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S16glist"]: gs = k7.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k7.getGroup(i).name + " | [ " + str(len (k7.getGroup(i).members)) + " ]") k7.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S17glist"]: gs = k8.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k8.getGroup(i).name + " | [ " + str(len (k8.getGroup(i).members)) + " ]") k8.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S18glist"]: gs = k9.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (k9.getGroup(i).name + " | [ " + str(len (k9.getGroup(i).members)) + " ]") k9.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S19glist"]: gs = w1.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (w1.getGroup(i).name + " | [ " + str(len (w1.getGroup(i).members)) + " ]") w1.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text in ["S20glist"]: gs = w2.getGroupIdsJoined() L = "☫『 Groups List 』☫\n" for i in gs: L += "[⭐] %s \n" % (w2.getGroup(i).name + " | [ " + str(len (w2.getGroup(i).members)) + " ]") w2.sendText(msg.to, L + "\nTotal Group : [ " + str(len(gs)) +" ]") elif msg.text == "Link bokep": ki.sendText(msg.to,"nekopoi.host") ki.sendText(msg.to,"sexvideobokep.com") ki.sendText(msg.to,"memek.com") ki.sendText(msg.to,"pornktube.com") ki.sendText(msg.to,"faketaxi.com") ki.sendText(msg.to,"videojorok.com") ki.sendText(msg.to,"watchmygf.mobi") ki.sendText(msg.to,"xnxx.com") ki.sendText(msg.to,"pornhd.com") ki.sendText(msg.to,"xvideos.com") ki.sendText(msg.to,"vidz7.com") ki.sendText(msg.to,"m.xhamster.com") ki.sendText(msg.to,"xxmovies.pro") ki.sendText(msg.to,"youporn.com") ki.sendText(msg.to,"pornhub.com") ki.sendText(msg.to,"anyporn.com") ki.sendText(msg.to,"hdsexdino.com") ki.sendText(msg.to,"rubyourdick.com") ki.sendText(msg.to,"anybunny.mobi") ki.sendText(msg.to,"cliphunter.com") ki.sendText(msg.to,"sexloving.net") ki.sendText(msg.to,"free.goshow.tv") ki.sendText(msg.to,"eporner.com") ki.sendText(msg.to,"Pornhd.josex.net") ki.sendText(msg.to,"m.hqporner.com") ki.sendText(msg.to,"m.spankbang.com") ki.sendText(msg.to,"m.4tube.com") ki.sendText(msg.to,"brazzers.com") #---------------------------------------------------------- elif msg.text in ["Conban","Contactban","Contact ban"]: if wait["blacklist"] == {}: cl.sendText(msg.to,"Bʟᴀᴄᴋʟɪsᴛ ᴇᴍᴘᴛʏ") else: cl.sendText(msg.to,"Lɪsᴛ ᴄᴏɴᴛᴀᴄᴛ ʙʟᴀᴄᴋʟɪsᴛ") h = "" for i in wait["blacklist"]: h = cl.getContact(i) M = Message() M.to = msg.to M.contentType = 13 M.contentMetadata = {'mid': i} cl.sendMessage(M) #------------------------------ elif msg.text in ["List favorite"]: dj = cl.getFavoriteMids() kontak = cl.getContacts(dj) num = 1 family = str(len(dj)) msgs = "[List Favorite Friends]" for ids in kontak: msgs+="\n[%i] %s" % (num, ids.displayName) num=(num+1) msgs+="\nTotal Friend : %i" % len(kontak) cl.sendText(msg.to, msgs) #------------------------------- elif "Gift " in msg.text: strnum = msg.text.replace("Gift ","") num = int(strnum) for var in range(0,num): try: msg.contentType = 9 msg.contentMetadata={'PRDID': '89131c1a-e549-4bd5-9e60-e24de0d2e252', 'PRDTYPE': 'THEME', 'MSGTPL': '10'} msg.text = None cl.sendMessage(msg) print "SEND STICKER" except: pass #----------------------------------------------------------- elif "!salam" in msg.text: if msg.from_ in admin: cl.sendText(msg.to,"السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ") cl.sendText(msg.to,"Assalamu'alaikum") cl.sendText(msg.to,"وَعَلَيْكُمْ السَّلاَمُ وَرَحْمَةُ اللهِوَبَرَكَاتُهُ") cl.sendText(msg.to,"Wa'alaikumsallam.Wr,Wb") if msg.toType == 2: print "ok" _name = msg.text.replace("!Salam","") gs = cl.getGroup(msg.to) cl.sendText(msg.to,"maaf kalo gak sopan") cl.sendText(msg.to,"Qo salamnya gak ada yang jawab ya..!!") cl.sendText(msg.to,"hehehhehe") targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found") else: for target in targets: if target not in admin: try: klist=[cl] kicker=random.choice(klist) kicker.kickoutFromGroup(msg.to,[target]) print (msg.to,[g.mid]) except: cl.sendText(msg.to,"السَّلاَمُ عَلَيْكُمْ وَرَحْمَةُ اللهِ وَبَرَكَاتُهُ") cl.sendText(msg.to,"وَعَلَيْكُمْ السَّلاَمُ وَرَحْمَةُ اللهِوَبَرَكَاتُهُ") cl.sendText(msg.to,"Nah salamnya jawab sendiri dah") #----------------------------------------------------------- elif "Detail" in msg.text: key = eval(msg.contentMetadata["MENTION"]) key1 = key["MENTIONEES"][0]["M"] contact = cl.getContact(key1) cu = cl.channel.getCover(key1) path = str(cu) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus try: cl.sendText(msg.to,"Nama :\n" + contact.displayName + "\n\nBio :\n" + contact.statusMessage) cl.sendText(msg.to,"Profile Picture " + contact.displayName) cl.sendImageWithURL(msg.to,image) cl.sendText(msg.to,"Cover " + contact.displayName) cl.sendImageWithURL(msg.to,path) except: pass #----------------------------------------------------------- elif "Ppgroup" in msg.text: group = cl.getGroup(msg.to) path =("http://dl.profile.line-cdn.net/" + group.pictureStatus) cl.sendImageWithURL(msg.to, path) #----------------------------------------------------------- elif "#leave" in msg.text: try: import sys sys.exit() except: pass #----------------------------------------------------------- elif "Hay @" in msg.text: _name = msg.text.replace("Hay @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(g.mid,"Your Account Has Been Spammed !") cl.sendText(msg.to, "Target sudah di spam ") print " Spammed !" #----------------------------------------------------------- elif "Mayhem1" in msg.text: if msg.from_ in admin: if msg.toType == 2: print "ok" _name = msg.text.replace("Mayhem","") gs = cl.getGroup(msg.to) cl.sendText(msg.to,"「 Mayhem 」\nMayhem is STARTING♪\n' abort' to abort♪") cl.sendText(msg.to,"「 Mayhem 」\n46 victims shall yell hul·la·ba·loo♪\n/ˌhələbəˈlo͞o,ˈhələbəˌlo͞o/") targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Tidak ditemukan") else: for target in targets: if not target in Bots: try: klist=[cl] kicker=random.choice(klist) kicker.kickoutFromGroup(msg.to,[target]) print (msg.to,[g.mid]) except: cl.sendText(msg.to,"Mayhem done") #------------------------------------------------------------ elif msg.text in ["Bot sp","Bot speed"]: start = time.time() ki.sendText(msg.to, "Loading speed bot..") elapsed_time = time.time() - start ki.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki2.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki3.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki4.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki5.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki6.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start ki7.sendText(msg.to, "%sseconds" % (elapsed_time)) elapsed_time = time.time() - start elif msg.text.lower() == 'responsname': profile = ki.getProfile() text = profile.displayName ki.sendText(msg.to, text) profile = ki2.getProfile() text = profile.displayName ki2.sendText(msg.to, text) profile = ki3.getProfile() text = profile.displayName ki3.sendText(msg.to, text) profile = ki4.getProfile() text = profile.displayName ki4.sendText(msg.to, text) profile = ki5.getProfile() text = profile.displayName ki5.sendText(msg.to, text) profile = ki6.getProfile() text = profile.displayName ki6.sendText(msg.to, text) #profile = ki7.getProfile() #text = profile.displayName #ki7.sendText(msg.to, text) #------------------------------------------------------------------ elif "Steal home @" in msg.text: print "[Command]dp executing" _name = msg.text.replace("Steal home @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: ki.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) cu = cl.channel.getCover(target) path = str(cu) cl.sendImageWithURL(msg.to, path) except: pass print "[Command]dp executed" #------------------------------------------------------------------- elif "youtube " in msg.text.lower(): query = msg.text.split(" ") try: if len(query) == 3: isi = yt(query[2]) hasil = isi[int(query[1])-1] cl.sendText(msg.to, hasil) else: isi = yt(query[1]) cl.sendText(msg.to, isi[0]) except Exception as e: cl.sendText(msg.to, str(e)) elif 'Vidio ' in msg.text: try: textToSearch = (msg.text).replace('Vidio ', "").strip() query = urllib.quote(textToSearch) url = "https://www.youtube.com/results?search_query=" + query response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html, "html.parser") results = soup.find(attrs={'class':'yt-uix-tile-link'}) ght=('https://www.youtube.com' + results['href']) cl.sendVideoWithURL(msg.to,ght) except: cl.sendText(msg.to,"Could not find it") #==============================================================================# elif "/musik " in msg.text: songname = msg.text.replace("/musik ","") params = {"songname": songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: abc = song[3].replace('https://','http://') cl.sendText(msg.to, "Title : " + song[0] + "\nLength : " + song[1] + "\nLink download : " + song[4]) cl.sendText(msg.to, "Lagu " + song[0] + "\nSedang Di Prosses... Tunggu Sebentar ^_^ ") cl.sendAudioWithURL(msg.to,abc) cl.sendText(msg.to, "ˢᵉˡᵃᵐᵃᵗ ᴹᵉⁿᵈᵉⁿᵍᵃʳᵏᵃⁿ ᴸᵃᵍᵘ ᴾᶦˡᶦʰᵃⁿ ᴬⁿᵈᵃ " + song[0]) elif "/musrik " in msg.text: songname = msg.text.replace("/musrik ","") params = {"songname": songname} r = requests.get('http://ide.fdlrcn.com/workspace/yumi-apis/joox?' + urllib.urlencode(params)) data = r.text data = json.loads(data) for song in data: abc = song[3].replace('https://','http://') hasil = 'Lyric Lagu (' hasil += song[0] hasil += ')\n\n' hasil += song[5] cl.sendText(msg.to, "Lagu " + song[0] + "\nSedang Di Prosses... Tunggu Sebentar ^_^ ") cl.sendAudioWithURL(msg.to,abc) cl.sendText(msg.to, "Title : " + song[0] + "\nLength : " + song[1] + "\nLink download : " + song[4] +"\n\n" + hasil) cl.sendText(msg.to, "ˢᵉˡᵃᵐᵃᵗ ᴹᵉⁿᵈᵉⁿᵍᵃʳᵏᵃⁿ ᴸᵃᵍᵘ ᴾᶦˡᶦʰᵃⁿ ᴬⁿᵈᵃ " + song[0]) #==============================================================================# elif 'Yvideo: ' in msg.text: try: textToSearch = (msg.text).replace('Youtube ', "").strip() query = urllib.quote(textToSearch) url = "https://www.youtube.com/results?search_query=" + query response = urllib2.urlopen(url) html = response.read() soup = BeautifulSoup(html, "html.parser") results = soup.find(attrs={'class':'yt-uix-tile-link'}) cl.sendText(msg.to,'https://www.youtube.com' + results['href']) except: cl.sendText(msg.to,"Could not find it") #==============================================================================# elif "Spamtag @" in msg.text: _name = msg.text.replace("Spamtag @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: xname = g.displayName xlen = str(len(xname)+1) msg.contentType = 0 msg.text = "@"+xname+" " msg.contentMetadata ={'MENTION':'{"MENTIONEES":[{"S":"0","E":'+json.dumps(xlen)+',"M":'+json.dumps(g.mid)+'}]}','EMTVER':'4'} cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) cl.sendMessage(msg) else: pass elif "Spam" in msg.text: txt = msg.text.split(" ") jmlh = int(txt[2]) teks = msg.text.replace("Spam "+str(txt[1])+" "+str(jmlh)+" ","") tulisan = jmlh * (teks+"\n") if txt[1] == "on": if jmlh <= 100000: for x in range(jmlh): cl.sendText(msg.to, teks) else: cl.sendText(msg.to, "Out of Range!") elif txt[1] == "off": if jmlh <= 100000: cl.sendText(msg.to, tulisan) else: cl.sendText(msg.to, "Out Of Range!") #==============================================================================# elif "cover @" in msg.text: if msg.toType == 2: cover = msg.text.replace("cover @","") _nametarget = cover.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found") else: for target in targets: try: h = cl.channel.getHome(target) objId = h["result"]["homeInfo"]["objectId"] cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/myhome/c/download.nhn?userid=" + target + "&oid=" + objId) except Exception as error: print error cl.sendText(msg.to,"Upload image failed.") elif "Cover @" in msg.text: if msg.toType == 2: cover = msg.text.replace("Cover @","") _nametarget = cover.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found") else: for target in targets: try: h = cl.channel.getHome(target) objId = h["result"]["homeInfo"]["objectId"] cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/myhome/c/download.nhn?userid=" + target + "&oid=" + objId) except Exception as error: print error cl.sendText(msg.to,"Upload image failed.") #==============================================================================# elif "pp @" in msg.text: if msg.toType == 2: cover = msg.text.replace("pp @","") _nametarget = cover.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found") else: for target in targets: try: h = cl.getContact(target) cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/" + h.pictureStatus) except Exception as error: print error cl.sendText(msg.to,"Upload image failed.") elif "Pp @" in msg.text: if msg.toType == 2: cover = msg.text.replace("Pp @","") _nametarget = cover.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found") else: for target in targets: try: h = cl.getContact(target) cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/" + h.pictureStatus) except Exception as error: print error cl.sendText(msg.to,"Upload image failed.") elif msg.text.lower() in ["pap owner","pap creator"]: cl.sendImageWithURL(msg.to,"http://dl.profile.line-cdn.net/0hNPsZGNvyEX9OIz0w4GxuKHJmHxI5DRc3NkJaETwkRklqGwQoJkNbTGklHRo2G1B7cxFXH2NxSU03") #==============================================================================# elif "Woy! @" in msg.text: _name = msg.text.replace("Woy! @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) for g in gs.members: if _nametarget == g.displayName: cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(g.mid,"Ꭲ̡̦͎͇͈̘̻̎̉̅́̒͗ͅϵѧᴍ̸̩̟̗͎̯͙̺̺̜̬̙̟̀̑̓͋̐͆͌̓̒́̒͗͒͑̚͟͜ᎶʀҽѧᴛᏴøᴛ̢͓̹̗̘̠̪̖͗̃̄̅̆̽̀̕͜͞ NIH CIKA~") cl.sendText(msg.to,"Selesai Mengspam Akun Target") #============================================================================= elif msg.text.lower().startswith("imagetext "): sep = msg.text.split(" ") textnya = msg.text.replace(sep[0] + " ","") urlnya = "http://chart.apis.google.com/chart?chs=480x80&cht=p3&chtt=" + textnya + "&chts=FFFFFF,70&chf=bg,s,000000" cl.sendImageWithURL(msg.to, urlnya) elif ".ps " in msg.text.lower(): tob = msg.text.lower().replace(".ps ","") dan = urllib.quote(tob) cl.sendText(msg.to,"「 Searching 」\n" "Type: Play Store Search\nStatus: Processing...") cl.sendText(msg.to,"Title : "+tob+"\nhttps://play.google.com/store/search?q=" + dan) cl.sendText(msg.to,"「 Searching 」\n" "Type: Play Store Search\nStatus: Success") elif ".gl " in msg.text: a = msg.text.replace(".gl ","") b = urllib.quote(a) cl.sendText(msg.to,"「 Searching 」\n" "Type: Google Search\nStatus: Processing...") cl.sendText(msg.to,"Title: " + a + "\nhttps://google.co.id/search?dcr=0&source=hp&ei=iysxWvH4JcbwvgSa5IqYDg&q=" + b + "&oq=" + b + "&gs_l=mobile-gws-hp.3..0i203k1l3j0j0i203k1.2672.5074.0.5502.18.11.2.5.6.0.190.1542.0j10.10.0....0...1c.1j4.64.mobile-gws-hp..3.15.1347.3..35i39k1j0i131k1j0i10i203k1j0i10k1.140.cERNZUVYbV8#scso=uid_WjEr7gABqeYKj7vFEw8Fug_7:228") cl.sendText(msg.to,"「 Searching 」\n" "Type: Google Search\nStatus: Success") elif ".fb" in msg.text: a = msg.text.replace(".fb","") replace = urllib.quote(a) cl.sendText(msg.to,"「 Searching 」\n" "Type: Facebook Search\nStatus: Processing...") cl.sendText(msg.to, "Title: " + a + "\nhttps://m.facebook.com/search/top/?q="+replace+"&ref=content_filter&tsid=0.7682944806717842&source=typeahead") cl.sendText(msg.to,"「 Searching 」\n" "Type: Search Info\nStatus: Success") elif ".git " in msg.text: a = msg.text.replace(".git ","") b = urllib.quote(a) cl.sendText(msg.to,"「 Searching 」\n" "Type: GitHub Search\nStatus: Processing...") cl.sendText(msg.to, "Title: " + a + "\nhttps://github.com/search?utf8=✓&q="+b) cl.sendText(msg.to,"「 Searching 」\n" "Type: GitHub Search\nStatus: Success") elif ".gi" in msg.text.lower(): start = time.time() separate = msg.text.split(" ") search = msg.text.replace(separate[0] + " ","") url = 'https://www.google.com/search?q=' + search.replace(" ","+") + '&espv=2&biw=1366&bih=667&site=webhp&source=lnms&tbm=isch&sa=X&ei=XosDVaCXD8TasATItgE&ved=0CAcQ_AUoAg' raw_html = (download_page(url)) items = [] items = items + (_images_get_all_items(raw_html)) path = random.choice(items) cl.sendImageWithURL(msg.to,path) a = items.index(path) b = len(items) elapsed_time = time.time() - start cl.sendText(msg.to,"Gambar #%s dari #%s gambar.\nMendapatkan gambar selama %s detik." %(str(a), str(b), elapsed_time)) elif "say " in msg.text.lower(): say = msg.text.lower().replace("say ","") lang = 'id' tts = gTTS(text=say, lang=lang) tts.save("hasil.mp3") cl.sendAudio(msg.to,"hasil.mp3") #------------------------------------------------------------------ elif ("Gn: " in msg.text): if msg.from_ in admin: if msg.toType == 2: X = cl.getGroup(msg.to) X.name = msg.text.replace("Gn: ","") cl.updateGroup(X) else: cl.sendText(msg.to,"Tidak dapat dilakukan diluar group") else: msg.contentType = 13 msg.contentMetadata = {'mid': "u923fca3dc907e047572ad25c24f1d29b"} cl.sendText(msg.to,"ɴᴀᴍᴇ ɢʀᴏᴜᴘs ɪᴛs ᴄʜᴀɴɢᴇᴅ") cl.sendMessage(msg) #------------------------------------------------------------------- elif msg.text in ["Invite user"]: if msg.from_ in admin: wait["winvite"] = True cl.sendText(msg.to,"send contact") #----------------------------------------------------- elif "Fuck!" in msg.text: targets = [] key = eval(msg.contentMetadata["MENTION"]) key["MENTIONEES"][0]["M"] for x in key["MENTIONEES"]: targets.append(x["M"]) for target in targets: try: cl.kickoutFromGroup(msg.to,[target]) cl.inviteIntoGroup(msg.to,[target]) cl.cancelGroupInvitation(msg.to,[target]) except: cl.sendText(msg.to, "Error") #------------------------------------------------------- elif "Picturl @" in msg.text: print "[Command]dp executing" _name = msg.text.replace("Picturl @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Contact not found") else: for target in targets: try: contact = cl.getContact(target) path = "http://dl.profile.line-cdn.net/" + contact.pictureStatus cl.sendText(msg.to, path) except Exception as e: raise e print "[Command]dp executed" #------------------------------------------------------------------- elif "Blacklist @" in msg.text: if msg.from_ in admin: if msg.toType == 2: print "[BL]ok" _name = msg.text.replace("Blacklist @","") _nametarget = _name.rstrip(' ') gs = cl.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found.") else: for target in targets: try: wait["blacklist"][target] = True f=codecs.open('st2__b.json','w','utf-8') json.dump(wait["blacklist"], f, sort_keys=True, indent=4,ensure_ascii=False) cl.sendText(msg.to,"Success Boss") except: cl.sendText(msg.to,"Error") elif "Blacklist all" in msg.text: if msg.from_ in admin: if msg.toType == 2: print "ok" _name = msg.text.replace("Blacklist all","") gs = cl.getGroup(msg.to) cl.sendText(msg.to,"Semua Telah Di Hapus") targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Maaf") else: for target in targets: if not target in Bots: try: wait["blacklist"][target] = True f=codecs.open('st2__b.json','w','utf-8') json.dump(wait["blacklist"], f, sort_keys=True, indent=4,ensure_ascii=False) cl.sendText(msg.to,"Success Boss") except: cl.sentText(msg.to,"Berhasil Dihapus") elif "Unban @" in msg.text: if msg.from_ in admin: if msg.toType == 2: print "[WL]ok" _name = msg.text.replace("Unban @","") _nametarget = _name.rstrip(' ') gs = ki.getGroup(msg.to) targets = [] for g in gs.members: if _nametarget == g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Not found.") else: for target in targets: try: del wait["blacklist"][target] f=codecs.open('st2__b.json','w','utf-8') json.dump(wait["blacklist"], f, sort_keys=True, indent=4,ensure_ascii=False) cl.sendText(msg.to,"ᵁⁿᵇᵃⁿᵉᵈ ᴴᵃˢ ᴮᵉᵉⁿ ᴰᵉˡᵉᵗᵉᵈ") except: cl.sendText(msg.to,"There was no blacklist user") elif "Blacklist: " in msg.text: if msg.from_ in admin: nk0 = msg.text.replace("Blacklist: ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: wait["blacklist"][target] = True f=codecs.open('st2__b.json','w','utf-8') json.dump(wait["blacklist"], f, sort_keys=True, indent=4,ensure_ascii=False) cl.sendText(msg.to,"Target Locked") except: cl.sendText(msg.to,"Error") elif "Whitelist: " in msg.text: if msg.from_ in admin: nk0 = msg.text.replace("Whitelist: ","") nk1 = nk0.lstrip() nk2 = nk1.replace("","") nk3 = nk2.rstrip() _name = nk3 gs = cl.getGroup(msg.to) targets = [] for s in gs.members: if _name in s.displayName: targets.append(s.mid) if targets == []: sendMessage(msg.to,"user does not exist") pass else: for target in targets: try: del wait["blacklist"][target] f=codecs.open('st2__b.json','w','utf-8') json.dump(wait["blacklist"], f, sort_keys=True, indent=4,ensure_ascii=False) cl.sendText(msg.to,"Target Unlocked") except: cl.sendText(msg.to,"Error") elif msg.text in ["Clear ban"]: cl.sendText(msg.to,"ʙʟᴀᴄᴋʟɪsᴛ ʜᴀs ʙᴇᴇɴ ᴅᴇʟᴇᴛᴇᴅ "+ str(len(wait["blacklist"]))+ " ᴜsᴇʀs") wait["blacklist"] = {} cl.sendText(msg.to,"sᴜᴋsᴇs ʜᴀᴘᴜs ʙᴀɴᴇᴅ") elif msg.text in ["Unban:on"]: if msg.from_ in admin: wait["dblacklist"] = True cl.sendText(msg.to,"ˢᵉⁿᵈ ᶜᵒⁿᵗᵃᶜᵗ ᵀᵒ ᵁⁿᵇᵃⁿ") elif msg.text in ["Blacklist"]: if msg.from_ in admin: wait["wblacklist"] = True cl.sendText(msg.to,"ˢᵉⁿᵈ ᶜᵒⁿᵗᵃᶜᵗ ᵀᵒ ᵇᵃⁿ") elif msg.text in ["Banlist"]: if wait["blacklist"] == {}: cl.sendText(msg.to,"ɴᴏᴛʜɪɴɢ ʙʟᴀᴄᴋʟɪsᴛ") else: mc = "" for mi_d in wait["blacklist"]: mc += "• " +cl.getContact(mi_d).displayName + "\n" cl.sendText(msg.to,"「 ʙʟᴀᴄᴋʟɪsᴛ ᴜsᴇʀ 」\n" + mc +"\nᴛᴏᴛᴀʟ : "+ str(len(wait["blacklist"]))) elif msg.text in ["Midban","Mid ban"]: if msg.from_ in admin: if msg.toType == 2: group = cl.getGroup(msg.to) gMembMids = [contact.mid for contact in group.members] matched_list = [] for tag in wait["blacklist"]: matched_list+=filter(lambda str: str == tag, gMembMids) num=1 cocoa = "══════════ʟɪsᴛ ʙʟᴀᴄᴋʟɪsᴛ═════════" for mm in matched_list: cocoa+="\n[%i] %s" % (num, mm) num=(num+1) cocoa+="\n═════════ʟɪsᴛ ʙʟᴀᴄᴋʟɪsᴛ═════════\n\nᴛᴏᴛᴀʟ ʙʟᴀᴄᴋʟɪsᴛ : %i" % len(matched_list) cl.sendText(msg.to,cocoa) elif msg.text.lower() == 'kill': if msg.from_ in admin: if msg.toType == 2: group = ki.getGroup(msg.to) gMembMids = [contact.mid for contact in group.members] matched_list = [] for tag in wait["blacklist"]: matched_list+=filter(lambda str: str == tag, gMembMids) if matched_list == []: ki.sendText(msg.to,"Tidak ada Daftar Blacklist") return for jj in matched_list: try: cl.kickoutFromGroup(msg.to,[jj]) ki.kickoutFromGroup(msg.to,[jj]) ki2.kickoutFromGroup(msg.to,[jj]) ki3.kickoutFromGroup(msg.to,[jj]) ki4.kickoutFromGroup(msg.to,[jj]) ki5.kickoutFromGroup(msg.to,[jj]) ki6.kickoutFromGroup(msg.to,[jj]) #ki7.kickoutFromGroup(msg.to,[jj]) #ki8.kickoutFromGroup(msg.to,[jj]) #ki9.kickoutFromGroup(msg.to,[jj]) #k1.kickoutFromGroup(msg.to,[jj]) #k2.kickoutFromGroup(msg.to,[jj]) #k3.kickoutFromGroup(msg.to,[jj]) #k4.kickoutFromGroup(msg.to,[jj]) #k5.kickoutFromGroup(msg.to,[jj]) print (msg.to,[jj]) except: pass elif "Nuke" in msg.text: if msg.from_ in admin: if msg.toType == 2: print "ok" _name = msg.text.replace("Nuke","") gs = cl.getGroup(msg.to) cl.sendText(msg.to,"Fᴜᴄᴋ Yᴏᴜʀ Gʀᴏᴜᴘs Iᴅɪᴏᴛs") targets = [] for g in gs.members: if _name in g.displayName: targets.append(g.mid) if targets == []: cl.sendText(msg.to,"Tidak ada Member") cl.sendText(msg.to,"Nothing Bosqu") else: for target in targets: if not target in Bots: try: klist=[cl] kicker=random.choice(klist) kicker.kickoutFromGroup(msg.to,[target]) print (msg.to,[g.mid]) except: ki.sendText(msg,to,"Hahaha") ki2.sendText(msg,to,"Fakyu Sundala") #----------------------------------------------- #----------------------------------------------- elif msg.text.lower() == 'reboot': print "[Command]Restart" try: cl.sendText(msg.to,"ʀᴇsᴛᴀʀᴛɪɴɢ...") cl.sendText(msg.to,"ʀᴇsᴛᴀʀᴛɪɴɢ ᴍʏ sᴇʟғʙᴏᴛ sᴜᴋsᴇs") restart_program() except: cl.sendText(msg.to,"ᴘʟᴇᴀsᴇ ᴡᴀɪᴛ...") restart_program() pass #----------------------------------------------- #----------------------------------------------- #----------------------------------------------- elif msg.text.lower() == ["join all"]: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki2.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki3.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki4.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki5.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki6.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) ki7.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.01) #ki8.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #ki9.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k1.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k2.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k3.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k4.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k5.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k6.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k7.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k8.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #k9.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #w1.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #w2.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True random.choice(KAC).updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) random.choice(KAC).updateGroup(G) #----------------------------------------------- elif msg.text in ["-","Y","Rejoice"]: if msg.from_ in admsa: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) ki2.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) ki3.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) ki4.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) ki5.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) ki6.acceptGroupInvitationByTicket(msg.to,Ticket) time.sleep(0.2) #ki7.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #ke.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) #ku.acceptGroupInvitationByTicket(msg.to,Ticket) #time.sleep(0.01) G = cl.getGroup(msg.to) G.preventJoinByTicket = True random.choice(KAC).updateGroup(G) print "Asist joined" G.preventJoinByTicket(G) random.choice(KAC).updateGroup(G) elif msg.text.lower() == 'Sp come': G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki.acceptGroupInvitationByTicket(msg.to,Ticket) ki2.acceptGroupInvitationByTicket(msg.to,Ticket) ki3.acceptGroupInvitationByTicket(msg.to,Ticket) ki4.acceptGroupInvitationByTicket(msg.to,Ticket) ki5.acceptGroupInvitationByTicket(msg.to,Ticket) ki6.acceptGroupInvitationByTicket(msg.to,Ticket) ki7.acceptGroupInvitationByTicket(msg.to,Ticket) #ki8.acceptGroupInvitationByTicket(msg.to,Ticket) #ki9.acceptGroupInvitationByTicket(msg.to,Ticket) #k1.acceptGroupInvitationByTicket(msg.to,Ticket) #k2.acceptGroupInvitationByTicket(msg.to,Ticket) #k3.acceptGroupInvitationByTicket(msg.to,Ticket) #k4.acceptGroupInvitationByTicket(msg.to,Ticket) #k5.acceptGroupInvitationByTicket(msg.to,Ticket) #k6.acceptGroupInvitationByTicket(msg.to,Ticket) #k7.acceptGroupInvitationByTicket(msg.to,Ticket) #k8.acceptGroupInvitationByTicket(msg.to,Ticket) #k9.acceptGroupInvitationByTicket(msg.to,Ticket) #w1.acceptGroupInvitationByTicket(msg.to,Ticket) #w2.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki.updateGroup(G) #----------------------------------------------- elif "Pro1 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki.updateGroup(G) #----------------------------------------------- elif "Pro2 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki2.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki2.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki2.updateGroup(G) #----------------------------------------------- elif "Pro3 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki3.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki2.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki2.updateGroup(G) #----------------------------------------------- elif "Pro4 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki4.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki3.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki3.updateGroup(G) #----------------------------------------------- elif "Pro5 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki5.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki5.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki5.updateGroup(G) #----------------------------------------------- elif "Pro6 in" in msg.text: G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = False cl.updateGroup(G) invsend = 0 Ticket = cl.reissueGroupTicket(msg.to) ki6.acceptGroupInvitationByTicket(msg.to,Ticket) G = cl.getGroup(msg.to) ginfo = cl.getGroup(msg.to) G.preventJoinByTicket = True ki6.updateGroup(G) print "kicker ok" G.preventJoinByTicket(G) ki6.updateGroup(G) #----------------------------------------------- #elif msg.text in ["Jinlip"]: # if msg.toType == 2: # ginfo = cl.getGroup(msg.to) # try: # cl.sendText(msg.to,"Pamit Dulu Ya😘 " + str(ginfo.name) + "") # cl.leaveGroup(msg.to) #----------------------------------------------- elif msg.text in ["V","Off","Back","O"]: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: cl.sendText(msg.to,"Bye All " + str(ginfo.name) + "") ki.leaveGroup(msg.to) ki2.leaveGroup(msg.to) ki3.leaveGroup(msg.to) ki4.leaveGroup(msg.to) ki5.leaveGroup(msg.to) ki6.leaveGroup(msg.to) #ki7.leaveGroup(msg.to) except: pass #----------------------------------------------- elif msg.text.lower() == 'minggat': if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki.leaveGroup(msg.to) ki2.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki2.leaveGroup(msg.to) ki3.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki3.leaveGroup(msg.to) ki4.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki4.leaveGroup(msg.to) ki5.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki5.leaveGroup(msg.to) ki6.sendText(msg.to,"􀠁􀆩􏿿Bye Bye " + str(ginfo.name) + "") ki6.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro1 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro2 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki2.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro3 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki3.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro4 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki4.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro5 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki5.leaveGroup(msg.to) except: pass #----------------------------------------------- elif "Pro6 bye" in msg.text: if msg.toType == 2: ginfo = cl.getGroup(msg.to) try: ki6.leaveGroup(msg.to) except: pass #----------------------------------------------- elif msg.text in ["Sambutan on"]: if wait["Sambutan"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Sᴀᴍʙᴜᴛᴀɴ Wᴇʟᴄᴏᴍᴇ Aʟʀᴇᴀᴅʏ ɪɴ ᴀᴄᴛɪᴠᴇ") else: wait["Sambutan"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ʀᴇᴀᴅʏ ɪɴ ᴀᴄᴛɪᴠᴇ") elif msg.text in ["Sambutan off"]: if wait["Sambutan"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Sᴀᴍʙᴜᴛᴀɴ Wᴇʟᴄᴏᴍᴇ Rᴇᴀᴅʏ Uɴᴀᴄᴛɪᴠᴇ") else: wait["Sambutan"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Rᴇᴀᴅʏ Uɴᴀᴄᴛɪᴠᴇ") #----------------------------------------------- elif msg.text in ["Sticker on"]: if wait["sticker"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"Aʟʀᴇᴀᴅʏ ɪɴ ᴀᴄᴛɪᴠᴇ") else: wait["sticker"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ɪɴ ᴀᴄᴛɪᴠᴇ") elif msg.text in ["Sticker off"]: if wait["sticker"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"Rᴇᴀᴅʏ Uɴᴀᴄᴛɪᴠᴇ") else: wait["sticker"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Uɴᴀᴄᴛɪᴠᴇ") #----------------------------------------------- elif msg.text in ["Tag on"]: if wait["tag"] == True: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴀᴜᴛᴏ ʀᴇsᴘᴏɴ ᴛᴀɢ ᴅɪ ᴀᴋᴛɪғᴋᴀɴ") else: wait["tag"] = True if wait["lang"] == "JP": cl.sendText(msg.to,"ʀᴇᴀᴅʏ ɪɴ ᴀᴄᴛɪᴠᴇ") elif msg.text in ["Tag off"]: if wait["tag"] == False: if wait["lang"] == "JP": cl.sendText(msg.to,"ᴀᴜᴛᴏ ʀᴇsᴘᴏɴ ᴛᴀɢ ᴅɪ ɴᴏɴᴀᴋᴛɪғᴋᴀɴ") else: wait["tag"] = False if wait["lang"] == "JP": cl.sendText(msg.to,"Rᴇᴀᴅʏ Uɴᴀᴄᴛɪᴠᴇ") #----------------------------------------------- #----------------------------------------------- if op.type == 19: try: if op.param3 in mid: if op.param2 in kimid: G = ki.getGroup(op.param1) G.preventJoinByTicket = False ki.updateGroup(G) Ticket = ki.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True cl.updateGroup(G) else: G = ki.getGroup(op.param1) ki.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki.updateGroup(G) Ticket = ki.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) ki7.acceptGroupInvitationByTicket(op.param1,Ticket) ki8.acceptGroupInvitationByTicket(op.param1,Ticket) ki9.acceptGroupInvitationByTicket(op.param1,Ticket) k1.acceptGroupInvitationByTicket(op.param1,Ticket) k2.acceptGroupInvitationByTicket(op.param1,Ticket) k3.acceptGroupInvitationByTicket(op.param1,Ticket) k4.acceptGroupInvitationByTicket(op.param1,Ticket) k5.acceptGroupInvitationByTicket(op.param1,Ticket) k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True cl.updateGroup(G) ki.updateGroup(G) wait["blacklist"][op.param2] = True elif op.param3 in kimid: if op.param2 in ki2mid: G = ki2.getGroup(op.param1) G.preventJoinByTicket = False ki2.updateGroup(G) Ticket = ki2.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki2.updateGroup(G) else: G = ki2.getGroup(op.param1) ki2.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki2.updateGroup(G) Ticket = ki2.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki.updateGroup(G) elif op.param3 in ki3mid: if op.param2 in ki2mid: G = ki2.getGroup(op.param1) G.preventJoinByTicket = False ki2.updateGroup(G) Ticket = ki2.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki2.updateGroup(G) else: G = cl.getGroup(op.param1) ki2.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki2.updateGroup(G) Ticket = ki2.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki2.updateGroup(G) elif op.param3 in ki2mid: if op.param2 in ki3mid: G = ki3.getGroup(op.param1) G.preventJoinByTicket = False ki3.updateGroup(G) Ticket = ki3.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki3.updateGroup(G) else: G = cl.getGroup(op.param1) ki3.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki3.updateGroup(G) Ticket = ki3.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki3.updateGroup(G) elif op.param3 in ki4mid: if op.param2 in ki5mid: G = ki5.getGroup(op.param1) G.preventJoinByTicket = False ki5.updateGroup(G) Ticket = ki5.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True cl.updateGroup(G) else: G = ki5.getGroup(op.param1) ki5.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki5.updateGroup(G) Ticket = ki5.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki5.updateGroup(G) elif op.param3 in ki5mid: if op.param2 in ki4mid: G = ki4.getGroup(op.param1) G.preventJoinByTicket = False ki4.updateGroup(G) Ticket = ki4.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #14.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki4.updateGroup(G) else: G = ki4.getGroup(op.param1) ki4.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki4.updateGroup(G) Ticket = ki4.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki4.updateGroup(G) elif op.param3 in ki6mid: if op.param2 in ki5mid: G = ki5.getGroup(op.param1) G.preventJoinByTicket = False ki5.updateGroup(G) Ticket = ki5.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki5.updateGroup(G) else: G = ki5.getGroup(op.param1) ki5.kickoutFromGroup(op.param1,[op.param2]) G.preventJoinByTicket = False ki5.updateGroup(G) Ticket = ki5.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) ki.acceptGroupInvitationByTicket(op.param1,Ticket) ki2.acceptGroupInvitationByTicket(op.param1,Ticket) ki3.acceptGroupInvitationByTicket(op.param1,Ticket) ki4.acceptGroupInvitationByTicket(op.param1,Ticket) ki5.acceptGroupInvitationByTicket(op.param1,Ticket) ki6.acceptGroupInvitationByTicket(op.param1,Ticket) #ki7.acceptGroupInvitationByTicket(op.param1,Ticket) #ki8.acceptGroupInvitationByTicket(op.param1,Ticket) #ki9.acceptGroupInvitationByTicket(op.param1,Ticket) #k1.acceptGroupInvitationByTicket(op.param1,Ticket) #k2.acceptGroupInvitationByTicket(op.param1,Ticket) #k3.acceptGroupInvitationByTicket(op.param1,Ticket) #k4.acceptGroupInvitationByTicket(op.param1,Ticket) #k5.acceptGroupInvitationByTicket(op.param1,Ticket) #k6.acceptGroupInvitationByTicket(op.param1,Ticket) #k7.acceptGroupInvitationByTicket(op.param1,Ticket) #k8.acceptGroupInvitationByTicket(op.param1,Ticket) #k9.acceptGroupInvitationByTicket(op.param1,Ticket) #w1.acceptGroupInvitationByTicket(op.param1,Ticket) #w2.acceptGroupInvitationByTicket(op.param1,Ticket) #w3.acceptGroupInvitationByTicket(op.param1,Ticket) #w4.acceptGroupInvitationByTicket(op.param1,Ticket) #w5.acceptGroupInvitationByTicket(op.param1,Ticket) #w6.acceptGroupInvitationByTicket(op.param1,Ticket) #w7.acceptGroupInvitationByTicket(op.param1,Ticket) #w8.acceptGroupInvitationByTicket(op.param1,Ticket) #w9.acceptGroupInvitationByTicket(op.param1,Ticket) #l1.acceptGroupInvitationByTicket(op.param1,Ticket) #l2.acceptGroupInvitationByTicket(op.param1,Ticket) #l3.acceptGroupInvitationByTicket(op.param1,Ticket) #l4.acceptGroupInvitationByTicket(op.param1,Ticket) #l5.acceptGroupInvitationByTicket(op.param1,Ticket) G.preventJoinByTicket = True ki5.updateGroup(G) except: pass if op.type == 17: if op.param2 not in Bots: if op.param2 in Bots: pass if wait["protect"] == True: if wait["blacklist"][op.param2] == True: try: random.choice(KAC).kickoutFromGroup(op.param1,[op.param2]) G = random.choice(KAC).getGroup(op.param1) G.preventJoinByTicket = True ki4.updateGroup(G) random.choice(KAC).kickoutFromGroup(op.param1,[op.param2]) except: pass try: random.choice(KAC).kickoutFromGroup(op.param1,[op.param2]) G = random.choice(KAC).getGroup(op.param1) G.preventJoinByTicket = True random.choice(KAC).updateGroup(G) random.choice(KAK).kickoutFromGroup(op.param1,[op.param2]) except: pass elif op.param2 not in admin + Bots: random.choice(KAC).sendText(op.param1,"Welcome. Don't Play Bots. I can kick you!") else: pass if op.type == 19: if op.param2 not in Bots: if op.param2 in Bots: pass elif wait["protect"] == True: wait ["blacklist"][op.param2] = True random.choice(KAC).kickoutFromGroup(op.param1,[op.param2]) else: cl.sendText(op.param1,"") else: cl.sendText(op.param1,"") if op.type == 13: if op.param2 not in Bots: if op.param2 in Bots: pass elif wait["inviteprotect"] == True: wait ["blacklist"][op.param2] = True random.choice(KAC).kickoutFromGroup(op.param1,[op.param2]) else: cl.sendText(op.param1,"") else: cl.sendText(op.param1,"") if op.param2 not in Bots: if op.param2 in Bots: pass elif wait["inviteprotect"] == True: wait ["blacklist"][op.param2] = True cl.cancelGroupInvitation(op.param1,[op.param3]) else: cl.sendText(op.param1,"") else: cl.sendText(op.param1,"") if op.param2 not in Bots: if op.param2 in Bots: pass elif wait["cancelprotect"] == True: wait ["blacklist"][op.param2] = True cl.cancelGroupInvitation(op.param1,[op.param3]) else: cl.sendText(op.param1,"") else: cl.sendText(op.param1,"") #Buka QR asisst masuk kick pelaku trs leave + akun utama share kontak pelaku.. if op.type == 11: if wait["linkprotect"] == True: if op.param2 not in admin and Bots: G = cl.getGroup(op.param1) G.preventJoinByTicket = True invsend = 0 Ticket = cl.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1, Ticket) time.sleep(0.01) cl.kickoutFromGroup(op.param1,[op.param2]) #ki7.leaveGroup(op.param1) cl.updateGroup(G) x = Message(to=op.param1, from_=None, text=None, contentType=13) x.contentMetadata={'mid':op.param2} cl.sendMessage(x) if op.param2 in wait["blacklist"]: pass #if op.param2 in wait["whitelist"]: #pass else: wait["blacklist"][op.param2] = True #sesuai in ma sc masing2 (Har Har)(Har Har)(Har Har) #--------------------------NOTIFIED_UPDATE_GROUP--------------------- if op.type == 11: if wait["linkprotect"] == True: if op.param2 in Bots: pass else: X = cl.getGroup(op.param1) X.preventJoinByTicket = False cl.updateGroup(X) Ti = cl.reissueGroupTicket(op.param1) random.choice(KAC).acceptGroupInvitationByTicket(op.param1,Ti) #kicker join X.preventJoinByTicket = True cl.updateGroup(X) cl.kickoutFromGroup(op.param1,[op.param2]) #cl.leaveGroup(op.param1) else: pass #------------------------[Welcome]---------------------------- #------------------------------------------------------- if op.type == 19: if op.param2 in Bots: return cl.sendText(op.param1,cl.getContact(op.param2).displayName + "\nWᴀʜ ʙᴀʜᴀʏᴀ ɴɪʜ ᴏʀᴀɴɢ ᴋɪᴄᴋᴇʀ") print "Kicker Tuh Asal Kick" #------Open QR Kick start------# if op.type == 11: if wait["linkprotect"] == True: # if wait["protect"] == False if op.param2 not in Bots: G = cl.getGroup(op.param1) G.preventJoinByTicket = True cl.updateGroup(G) cl.sendText(op.param1,"please do not open link group-_-") Ticket = cl.reissueGroupTicket(op.param1) cl.acceptGroupInvitationByTicket(op.param1,Ticket) time.sleep(0.01) cl.updateGroup(G) cl.kickoutFromGroup(op.param1,[op.param3]) # ki7.updateGroup(G) cl.leaveGroup(op.param1) wait["blacklist"][op.param2] = True #------Open QR Kick finish-----# #------------------------------------------------------------------------------------ #------------------------------------------------------------------------------------ if op.type == 17: if wait["Sambutan"] == True: if op.param2 in admin: return ginfo = cl.getGroup(op.param1) contact = cl.getContact(op.param2) image = "http://dl.profile.line-cdn.net/" + contact.pictureStatus cl.sendText(op.param1,"Hallo " + cl.getContact(op.param2).displayName + "\n╔═════════════\n║Hᴀɪ Sᴀʏ Wᴇʟᴄᴏᴍᴇ ᴛᴏ " + str(ginfo.name) + "\n╠═════════════\n" + "║Fᴏᴜɴᴅᴇʀ ɢʀᴏᴜᴘ =>>> " + str(ginfo.name) + " :\n║" + ginfo.creator.displayName + "\n╠═════════════\n" + "║😊Sᴇᴍᴏɢᴀ Bᴇᴛᴀʜ ʏᴀ 😘 \n╚═════════════") cl.sendImageWithURL(op.param1,image) print "MEMBER JOIN TO GROUP" if op.type == 15: if wait["Sambutan"] == True: if op.param2 in admin: return #cl.sendText(op.param1,"Hᴜsss Hᴜssss Sᴀɴᴀᴀ Pᴇʀɢɪ " \n + cl.getContact(op.param2).displayName + "\n╔═════════════\n║Jᴀɴɢᴀɴ Kᴇᴍʙᴀʟɪ ʟᴀɢɪ Yᴀ \n║Gᴋ ᴘᴀɴᴛᴀs Lᴏ ᴀᴅᴀ ᴅɪ sɪɴɪ..!! \n╚═════════════") cl.sendText(op.param1,"Hᴜsss Hᴜssss Sᴀɴᴀᴀ Pᴇʀɢɪ " + cl.getContact(op.param2).displayName + "\n╔═════════════\n Jᴀɴɢᴀɴ Kᴇᴍʙᴀʟɪ ʟᴀɢɪ Yᴀ :v \n║Gᴋ ᴘᴀɴᴛᴀs Lᴏ ᴀᴅᴀ ᴅɪ sɪɴɪ..!! \n╚═════════════") print "MEMBER HAS LEFT THE GROUP" if op.type == 55: print "[NOTIFIED_READ_MESSAGE]" try: if op.param1 in wait2['readPoint']: Nama = cl.getContact(op.param2).displayName if Nama in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += "\n🐶 " + Nama wait2['ROM'][op.param1][op.param2] = "🐷 " + Nama wait2['setTime'][msg.to] = datetime.strftime(now2,"%H:%M") else: cl.sendText except: pass #-------------------------------------------------------------- #------Cek Sider-----# if op.type == 55: try: if cctv['cyduk'][op.param1]==True: if op.param1 in cctv['point']: Name = cl.getContact(op.param2).displayName Name = cl.getContact(op.param2).displayName Name = cl.getContact(op.param2).displayName Name = cl.getContact(op.param2).displayName Name = cl.getContact(op.param2).displayName Np = cl.getContact(op.param2).pictureStatus Np = cl.getContact(op.param2).pictureStatus Np = cl.getContact(op.param2).pictureStatus Np = cl.getContact(op.param2).pictureStatus Np = cl.getContact(op.param2).pictureStatus if Name in cctv['sidermem'][op.param1]: pass else: cctv['sidermem'][op.param1] += "\n• " + Name if " " in Name: nick = Name.split(' ') if len(nick) == 2: cl.sendText(op.param1, "ʜᴀʟᴏ " + "☞ " + nick[0] + " ☜" + "\nɴɢᴀᴘᴀɪɴ ʟᴏ ᴄᴄᴛᴠ ᴅᴏᴀɴᴋ \nᴄᴄᴛᴠ ʙᴀʏᴀʀ sɪɴɪ 😉") cl.sendImageWithURL(op.param1, "http://dl.profile.line-cdn.net/" + Np) summon(op.param1, [op.param2]) else: cl.sendText(op.param1, "ɴᴀʜ ᴋᴀɴ " + "☞ " + nick[1] + " ☜" + "\nᴋᴇᴛᴀᴜᴡᴀɴ ɴɢɪɴᴛɪᴘ 😏. . .\nMᴀsᴜᴋ sɪɴɪ ɢᴀʙᴜɴɢ ᴄʜᴀᴛ 😆😂😛") cl.sendImageWithURL(op.param1, "http://dl.profile.line-cdn.net/" + Np) summon(op.param1, [op.param2]) else: cl.sendText(op.param1, "ᴡᴏɪ..!! " + "☞ " + Name + " ☜" + "\nʙᴇᴛᴀʜ ᴀᴍᴀᴛ ᴊᴀᴅɪ sɪᴅᴇʀ \nʙɪɴᴛɪᴛᴀɴ ᴀᴡᴀs ʟᴏʜ 😝") cl.sendImageWithURL(op.param1, "http://dl.profile.line-cdn.net/" + Np) summon(op.param1, [op.param2]) else: pass else: pass except: pass else: pass #------------------------------------------------------------------------- if op.type == 55: try: if op.param1 in wait2['readPoint']: if op.param2 in wait2['readMember'][op.param1]: pass else: wait2['readMember'][op.param1] += op.param2 wait2['ROM'][op.param1][op.param2] = op.param2 with open('sider.json', 'w') as fp: json.dump(wait2, fp, sort_keys=True, indent=4) else: pass except: pass except Exception as error: print error def a2(): now2 = datetime.now() nowT = datetime.strftime(now2,"%M") if nowT[14:] in ["10","20","30","40","50","00"]: return False else: return True def nameUpdate(): while True: try: #while a2(): #pass if wait["clock"] == True: now2 = datetime.now() nowT = datetime.strftime(now2,"(%H:%M)") profile = cl.getProfile() profile.displayName = wait["cName"] + nowT cl.updateProfile(profile) time.sleep(600) except: pass thread2 = threading.Thread(target=nameUpdate) thread2.daemon = True thread2.start() while True: try: Ops = cl.fetchOps(cl.Poll.rev, 5) except EOFError: raise Exception("It might be wrong revision\n" + str(cl.Poll.rev)) for Op in Ops: if (Op.type != OpType.END_OF_OPERATION): cl.Poll.rev = max(cl.Poll.rev, Op.revision) bot(Op)

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0.390472

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5.245553

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0.026033

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0.051971

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8

b748a3cc3285ef24b55771ad910c03e9fc22692b

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py

Python

ExPyBR/ExESPy001.py

us19861229c/Meu-aprendizado-Python

575c0714ac5377ff3122f4cb57952969e07ba89b

[ "Unlicense" ]

1

2021-12-11T19:53:41.000Z

ExPyBR/ExESPy001.py

us19861229c/Meu-aprendizado-Python

575c0714ac5377ff3122f4cb57952969e07ba89b

[ "Unlicense" ]

null

ExPyBR/ExESPy001.py

us19861229c/Meu-aprendizado-Python

575c0714ac5377ff3122f4cb57952969e07ba89b

[ "Unlicense" ]

null

""" 1.Faça um Programa que mostre a mensagem "Alo mundo" na tela. """ print("Faça um Programa que mostre a mensagem 'Alo mundo' na tela.") print("Olá mundo!")

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b7a4e2f3cee59f7116f4802eab2b319ea0a41ced

116

py

Python

chitra/import_utils.py

aniketmaurya/Chitra

e040311c25ccf2e101df5596662450ae532bee08

[ "Apache-2.0" ]

158

2020-01-27T05:35:35.000Z

2021-12-24T16:15:23.000Z

chitra/import_utils.py

aniketmaurya/Chitra

e040311c25ccf2e101df5596662450ae532bee08

[ "Apache-2.0" ]

112

2020-02-15T15:12:38.000Z

2021-12-22T13:18:14.000Z

chitra/import_utils.py

aniketmaurya/Chitra

e040311c25ccf2e101df5596662450ae532bee08

[ "Apache-2.0" ]

33

2020-09-25T13:49:17.000Z

2021-12-01T13:05:23.000Z

import importlib def is_installed(module_name: str): return importlib.util.find_spec(module_name) is not None

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b7bb022e4dc3d6ffc2cb21f4a8136d6152cc60af

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py

Python

stepik/3559/66578/step_8/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

stepik/3559/66578/step_8/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

stepik/3559/66578/step_8/script.py

tshemake/Software-Development

e6dff82dffa49e66dc5fa5650af775437ebb6a9b

[ "Unlicense" ]

null

print('2 + 2 =', 2 + 2)

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py

Python

benchmarks/SimResults/combinations_spec_ml_fulltrained/oldstuff/cmp_bwavesgccmcfleslie3d/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/combinations_spec_ml_fulltrained/oldstuff/cmp_bwavesgccmcfleslie3d/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

benchmarks/SimResults/combinations_spec_ml_fulltrained/oldstuff/cmp_bwavesgccmcfleslie3d/power.py

TugberkArkose/MLScheduler

e493b6cbf7b9d29a2c9300d7dd6f0c2f102e4061

[ "Unlicense" ]

null

power = {'BUSES': {'Area': 1.33155, 'Bus/Area': 1.33155, 'Bus/Gate Leakage': 0.00662954, 'Bus/Peak Dynamic': 0.0, 'Bus/Runtime Dynamic': 0.0, 'Bus/Subthreshold Leakage': 0.0691322, 'Bus/Subthreshold Leakage with power gating': 0.0259246, 'Gate Leakage': 0.00662954, 'Peak Dynamic': 0.0, 'Runtime Dynamic': 0.0, 'Subthreshold Leakage': 0.0691322, 'Subthreshold Leakage with power gating': 0.0259246}, 'Core': [{'Area': 32.6082, 'Execution Unit/Area': 8.2042, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.063025, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.252192, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.336758, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage with power gating': 0.373061, 'Execution Unit/Gate Leakage': 0.122718, 'Execution Unit/Instruction Scheduler/Area': 2.17927, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Area': 0.328073, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Gate Leakage': 0.00115349, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Peak Dynamic': 1.20978, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Runtime Dynamic': 0.28979, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage': 0.017004, 'Execution Unit/Instruction Scheduler/FP Instruction Window/Subthreshold Leakage with power gating': 0.00962066, 'Execution Unit/Instruction Scheduler/Gate Leakage': 0.00730101, 'Execution Unit/Instruction Scheduler/Instruction Window/Area': 1.00996, 'Execution Unit/Instruction Scheduler/Instruction Window/Gate Leakage': 0.00529112, 'Execution Unit/Instruction Scheduler/Instruction Window/Peak Dynamic': 2.07911, 'Execution Unit/Instruction Scheduler/Instruction Window/Runtime Dynamic': 0.501812, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage': 0.0800117, 'Execution Unit/Instruction Scheduler/Instruction Window/Subthreshold Leakage with power gating': 0.0455351, 'Execution Unit/Instruction Scheduler/Peak Dynamic': 4.84781, 'Execution Unit/Instruction Scheduler/ROB/Area': 0.841232, 'Execution Unit/Instruction Scheduler/ROB/Gate Leakage': 0.000856399, 'Execution Unit/Instruction Scheduler/ROB/Peak Dynamic': 1.55892, 'Execution Unit/Instruction Scheduler/ROB/Runtime Dynamic': 0.287803, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage': 0.0178624, 'Execution Unit/Instruction Scheduler/ROB/Subthreshold Leakage with power gating': 0.00897339, 'Execution Unit/Instruction Scheduler/Runtime Dynamic': 1.07941, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage': 0.114878, 'Execution Unit/Instruction Scheduler/Subthreshold Leakage with power gating': 0.0641291, 'Execution Unit/Integer ALUs/Area': 0.47087, 'Execution Unit/Integer ALUs/Gate Leakage': 0.0265291, 'Execution Unit/Integer ALUs/Peak Dynamic': 0.234815, 'Execution Unit/Integer ALUs/Runtime Dynamic': 0.101344, 'Execution Unit/Integer ALUs/Subthreshold Leakage': 0.40222, 'Execution Unit/Integer ALUs/Subthreshold Leakage with power gating': 0.150833, 'Execution Unit/Peak Dynamic': 5.93592, 'Execution Unit/Register Files/Area': 0.570804, 'Execution Unit/Register Files/Floating Point RF/Area': 0.208131, 'Execution Unit/Register Files/Floating Point RF/Gate Leakage': 0.000232788, 'Execution Unit/Register Files/Floating Point RF/Peak Dynamic': 0.0636208, 'Execution Unit/Register Files/Floating Point RF/Runtime Dynamic': 0.0105051, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage': 0.00399698, 'Execution Unit/Register Files/Floating Point RF/Subthreshold Leakage with power gating': 0.00176968, 'Execution Unit/Register Files/Gate Leakage': 0.000622708, 'Execution Unit/Register Files/Integer RF/Area': 0.362673, 'Execution Unit/Register Files/Integer RF/Gate Leakage': 0.00038992, 'Execution Unit/Register Files/Integer RF/Peak Dynamic': 0.0997069, 'Execution Unit/Register Files/Integer RF/Runtime Dynamic': 0.0776918, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage': 0.00614175, 'Execution Unit/Register Files/Integer RF/Subthreshold Leakage with power gating': 0.00246675, 'Execution Unit/Register Files/Peak Dynamic': 0.163328, 'Execution Unit/Register Files/Runtime Dynamic': 0.0881969, 'Execution Unit/Register Files/Subthreshold Leakage': 0.0101387, 'Execution Unit/Register Files/Subthreshold Leakage with power gating': 0.00423643, 'Execution Unit/Results Broadcast Bus/Area Overhead': 0.0442632, 'Execution Unit/Results Broadcast Bus/Gate Leakage': 0.00607074, 'Execution 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'Instruction Fetch Unit/Branch Predictor/Subthreshold Leakage with power gating': 0.0103282, 'Instruction Fetch Unit/Branch Target Buffer/Area': 0.64954, 'Instruction Fetch Unit/Branch Target Buffer/Gate Leakage': 0.00272758, 'Instruction Fetch Unit/Branch Target Buffer/Peak Dynamic': 0.177867, 'Instruction Fetch Unit/Branch Target Buffer/Runtime Dynamic': 0.00668167, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage': 0.0811682, 'Instruction Fetch Unit/Branch Target Buffer/Subthreshold Leakage with power gating': 0.0435357, 'Instruction Fetch Unit/Gate Leakage': 0.0589979, 'Instruction Fetch Unit/Instruction Buffer/Area': 0.0226323, 'Instruction Fetch Unit/Instruction Buffer/Gate Leakage': 6.83558e-05, 'Instruction Fetch Unit/Instruction Buffer/Peak Dynamic': 0.606827, 'Instruction Fetch Unit/Instruction Buffer/Runtime Dynamic': 0.0307292, 'Instruction Fetch Unit/Instruction Buffer/Subthreshold Leakage': 0.00151885, 'Instruction Fetch Unit/Instruction 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'Renaming Unit/Subthreshold Leakage': 0.0552466, 'Renaming Unit/Subthreshold Leakage with power gating': 0.0276461, 'Runtime Dynamic': 2.37291, 'Subthreshold Leakage': 6.16288, 'Subthreshold Leakage with power gating': 2.55328}, {'Area': 32.0201, 'Execution Unit/Area': 7.68434, 'Execution Unit/Complex ALUs/Area': 0.235435, 'Execution Unit/Complex ALUs/Gate Leakage': 0.0132646, 'Execution Unit/Complex ALUs/Peak Dynamic': 0.0118559, 'Execution Unit/Complex ALUs/Runtime Dynamic': 0.212, 'Execution Unit/Complex ALUs/Subthreshold Leakage': 0.20111, 'Execution Unit/Complex ALUs/Subthreshold Leakage with power gating': 0.0754163, 'Execution Unit/Floating Point Units/Area': 4.6585, 'Execution Unit/Floating Point Units/Gate Leakage': 0.0656156, 'Execution Unit/Floating Point Units/Peak Dynamic': 0.060521, 'Execution Unit/Floating Point Units/Runtime Dynamic': 0.304033, 'Execution Unit/Floating Point Units/Subthreshold Leakage': 0.994829, 'Execution Unit/Floating Point Units/Subthreshold Leakage 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Python

run_nerf_helpers.py

songrise/nerf

474786b476a8b51f960481d50c8136b4782239d3

[ "MIT" ]

null

run_nerf_helpers.py

songrise/nerf

474786b476a8b51f960481d50c8136b4782239d3

[ "MIT" ]

null

run_nerf_helpers.py

songrise/nerf

474786b476a8b51f960481d50c8136b4782239d3

[ "MIT" ]

null

# %% import os import sys import tensorflow as tf import numpy as np import imageio import json # Misc utils def img2mse(x, y): return tf.reduce_mean(tf.square(x - y)) def mse2psnr(x): return -10.*tf.log(x)/tf.log(10.) def to8b(x): return (255*np.clip(x, 0, 1)).astype(np.uint8) # Positional encoding class Embedder: #! Re should be the \gamma for positional encoding? def __init__(self, **kwargs): self.kwargs = kwargs self.create_embedding_fn() def create_embedding_fn(self): embed_fns = [] d = self.kwargs['input_dims'] out_dim = 0 if self.kwargs['include_input']: embed_fns.append(lambda x: x) out_dim += d max_freq = self.kwargs['max_freq_log2'] N_freqs = self.kwargs['num_freqs'] if self.kwargs['log_sampling']: freq_bands = 2.**tf.linspace(0., max_freq, N_freqs) else: freq_bands = tf.linspace(2.**0., 2.**max_freq, N_freqs) for freq in freq_bands: for p_fn in self.kwargs['periodic_fns']: embed_fns.append(lambda x, p_fn=p_fn, freq=freq: p_fn(x * freq)) out_dim += d self.embed_fns = embed_fns self.out_dim = out_dim def embed(self, inputs): return tf.concat([fn(inputs) for fn in self.embed_fns], -1) def get_embedder(multires, i=0): if i == -1: # return itself without any embedding return tf.identity, 3 embed_kwargs = { 'include_input': True, 'input_dims': 3, 'max_freq_log2': multires-1, 'num_freqs': multires, 'log_sampling': True, 'periodic_fns': [tf.math.sin, tf.math.cos], } embedder_obj = Embedder(**embed_kwargs) def embed(x, eo=embedder_obj): return eo.embed(x) return embed, embedder_obj.out_dim class SphericalBasis(tf.keras.Model): def __init__(self, n_order=8, inputch_views=27, **kwargs): """ Args: n_order: the order of the basis function """ super(SphericalBasis, self).__init__() self.n_order = n_order self.basis = [] for _ in range(n_order): if _ <= n_order//4: self.basis.append(self.create_basis( inputch_views=inputch_views, width=8)) elif _ <= n_order//2: self.basis.append(self.create_basis( inputch_views=inputch_views, width=16)) else: self.basis.append(self.create_basis( inputch_views=inputch_views, width=32)) def call(self, inputs, coeff=None): """ Args: inputs: the embedded view direction coeff: the coefficients of the basis function [batch_size, n_order, 1] Returns: rgb: (None, 3) predicted rgb in the range [-1, 1] """ if coeff is None: coeff = tf.ones_like(inputs) print("coeff is empty") # duplicate the coeff for 3 channels coeff = tf.tile(tf.expand_dims(coeff, axis=2), [1, 1, 3]) x = inputs rgb = self.basis[0](x) for i in range(1, self.n_order): # linear combination of basis functions rgb += coeff[:, i]*self.basis[i](x) # rgb in [-1, 1] since the view-dependent effect maybe black # rgb = tf.keras.activations.(rgb) return rgb def create_basis(self, width=8, inputch_views=27): """ Create the basis function """ basis = tf.keras.Sequential([ tf.keras.layers.Dense(width, activation=tf.keras.activations.relu, input_shape=(inputch_views,)), tf.keras.layers.Dense(width, activation=tf.keras.activations.relu), tf.keras.layers.Dense(3, activation=None) ]) return basis # Model architecture # def init_nerf_model(D=8, W=256, input_ch=3, input_ch_views=3, output_ch=4, skips=[4], use_viewdirs=False): # #!Re see p.18 of the paper for the model architecture # relu = tf.keras.layers.ReLU() # def dense(W, act=relu): return tf.keras.layers.Dense(W, activation=act) # print('MODEL', input_ch, input_ch_views, type( # input_ch), type(input_ch_views), use_viewdirs) # input_ch = int(input_ch) # input_ch_views = int(input_ch_views) # inputs = tf.keras.Input(shape=(input_ch + input_ch_views)) # inputs_pts, inputs_views = tf.split(inputs, [input_ch, input_ch_views], -1) # inputs_pts.set_shape([None, input_ch]) # inputs_views.set_shape([None, input_ch_views]) # print(inputs.shape, inputs_pts.shape, inputs_views.shape) # outputs = inputs_pts # for i in range(D): # outputs = dense(W)(outputs) # if i in skips: # outputs = tf.concat([inputs_pts, outputs], -1) # if use_viewdirs: # # !Re alpha is view-independent, if not used, then it simulates Lambertian。 # alpha_out = dense(1, act=None)(outputs) # !Re shouldn't this be relu? # bottleneck = dense(256, act=None)(outputs) # # !Re input view direction here # inputs_viewdirs = tf.concat( # [bottleneck, inputs_views], -1) # concat viewdirs # outputs = inputs_viewdirs # # The supplement to the paper states there are 4 hidden layers here, but this is an error since # # the experiments were actually run with 1 hidden layer, so we will leave it as 1. # # ! Re in CVPR paper, there is only one layer. # for i in range(1): # outputs = dense(W//2)(outputs) # # !Re: rgb, shoudn't this be sigmoid? # outputs = dense(3, act=None)(outputs) # outputs = tf.concat([outputs, alpha_out], -1) # !Re rgb+a # else: # outputs = dense(output_ch, act=None)(outputs) # model = tf.keras.Model(inputs=inputs, outputs=outputs) # return model # # modified architecture # def init_nerf_model(D=8, W=256, input_ch=3, input_ch_views=3, output_ch=4, skips=[4], use_viewdirs=False): # #!Re see p.18 of the paper for the model architecture # relu = tf.keras.layers.ReLU() # def dense(W, act=relu): return tf.keras.layers.Dense(W, activation=act) # print('MODEL', input_ch, input_ch_views, type( # input_ch), type(input_ch_views), use_viewdirs) # input_ch = int(input_ch) # input_ch_views = int(input_ch_views) # inputs = tf.keras.Input(shape=(input_ch + input_ch_views)) # inputs_pts, inputs_views = tf.split(inputs, [input_ch, input_ch_views], -1) # inputs_pts.set_shape([None, input_ch]) # inputs_views.set_shape([None, input_ch_views]) # print(inputs.shape, inputs_pts.shape, inputs_views.shape) # outputs = inputs_pts # for i in range(D): # outputs = dense(W)(outputs) # if i in skips: # outputs = tf.concat([inputs_pts, outputs], -1) # n_order = 8 # neural expansion order # if use_viewdirs: # #! Re modified this following NeX and refNerf # alpha_out = dense(1, act=None)(outputs) # diffuse_out = dense(3, act="sigmoid")(outputs) # bottleneck = dense(256, act=None)(outputs) # inputs_viewdirs = tf.concat( # [bottleneck, inputs_views], -1) # concat viewdirs # outputs = inputs_viewdirs # # The supplement to the paper states there are 4 hidden layers here, but this is an error since # # the experiments were actually run with 1 hidden layer, so we will leave it as 1. # for i in range(1): # !Re: Modified for 4 layers in order to get better view-dependent results # outputs = dense(W//2)(outputs) # outputs = dense(n_order, act=None)(outputs) # coeff # basis = SphericalBasis(n_order, input_ch_views) # outputs = basis(inputs_views, coeff=outputs) # specular # outputs = diffuse_out + outputs # diffuse + specular # outputs = tf.concat([outputs, alpha_out], -1) # !Re rgb+a # else: # outputs = dense(output_ch, act=None)(outputs) # model = tf.keras.Model(inputs=inputs, outputs=outputs) # return model # %% # Misc utils def img2mse(x, y): return tf.reduce_mean(tf.square(x - y)) def mse2psnr(x): return -10.*tf.log(x)/tf.log(10.) def to8b(x): return (255*np.clip(x, 0, 1)).astype(np.uint8) def to8b_vec(x): """" Encode vector in [-1,1] in to 8 bit color space """ x = np.clip(x, -1, 1) x = (255*(x + 1)/2).astype(np.uint8) return x # Positional encoding class Embedder: #! Re should be the \gamma for positional encoding? def __init__(self, **kwargs): self.kwargs = kwargs self.create_embedding_fn() def create_embedding_fn(self): embed_fns = [] d = self.kwargs['input_dims'] out_dim = 0 if self.kwargs['include_input']: embed_fns.append(lambda x: x) out_dim += d max_freq = self.kwargs['max_freq_log2'] N_freqs = self.kwargs['num_freqs'] if self.kwargs['log_sampling']: freq_bands = 2.**tf.linspace(0., max_freq, N_freqs) else: freq_bands = tf.linspace(2.**0., 2.**max_freq, N_freqs) for freq in freq_bands: for p_fn in self.kwargs['periodic_fns']: embed_fns.append(lambda x, p_fn=p_fn, freq=freq: p_fn(x * freq)) out_dim += d self.embed_fns = embed_fns self.out_dim = out_dim def embed(self, inputs): return tf.concat([fn(inputs) for fn in self.embed_fns], -1) def get_embedder(multires, i=0): if i == -1: # return itself without any embedding return tf.identity, 3 embed_kwargs = { 'include_input': True, 'input_dims': 3, 'max_freq_log2': multires-1, 'num_freqs': multires, 'log_sampling': True, 'periodic_fns': [tf.math.sin, tf.math.cos], } embedder_obj = Embedder(**embed_kwargs) def embed(x, eo=embedder_obj): return eo.embed(x) return embed, embedder_obj.out_dim class SphericalBasis(tf.keras.Model): def __init__(self, n_order=8, inputch_views=27, **kwargs): """ Args: n_order: the order of the basis function """ super(SphericalBasis, self).__init__() self.n_order = n_order self.basis = [] for _ in range(n_order): if _ <= n_order//4: self.basis.append(self.create_basis( inputch_views=inputch_views, width=8)) elif _ <= n_order//2: self.basis.append(self.create_basis( inputch_views=inputch_views, width=32)) else: self.basis.append(self.create_basis( inputch_views=inputch_views, width=64)) def call(self, inputs, coeff=None): """ Args: inputs: the embedded view direction coeff: the coefficients of the basis function [batch_size, n_order, 1] Returns: rgb: (None, 3) predicted rgb in the range [-1, 1] """ if coeff is None: coeff = tf.ones_like(inputs) print("coeff is empty") # duplicate the coeff for 3 channels coeff = tf.tile(tf.expand_dims(coeff, axis=2), [1, 1, 3]) x = inputs rgb = self.basis[0](x) for i in range(1, self.n_order): # linear combination of basis functions rgb += coeff[:, i]*self.basis[i](x) # rgb in [-1, 1] since the view-dependent effect maybe black # rgb = tf.keras.activations.(rgb) return rgb def create_basis(self, width=8, inputch_views=27): """ Create the basis function """ basis = tf.keras.Sequential([ tf.keras.layers.Dense(width, activation=tf.keras.activations.elu, input_shape=(inputch_views,)), tf.keras.layers.Dense(width, activation=tf.keras.activations.elu), tf.keras.layers.Dense(3, activation=None) ]) return basis # Model architecture # def init_nerf_model(D=8, W=256, input_ch=3, input_ch_views=3, output_ch=4, skips=[4], use_viewdirs=False): # #!Re see p.18 of the paper for the model architecture # relu = tf.keras.layers.ReLU() # def dense(W, act=relu): return tf.keras.layers.Dense(W, activation=act) # print('MODEL', input_ch, input_ch_views, type( # input_ch), type(input_ch_views), use_viewdirs) # input_ch = int(input_ch) # input_ch_views = int(input_ch_views) # inputs = tf.keras.Input(shape=(input_ch + input_ch_views)) # inputs_pts, inputs_views = tf.split(inputs, [input_ch, input_ch_views], -1) # inputs_pts.set_shape([None, input_ch]) # inputs_views.set_shape([None, input_ch_views]) # print(inputs.shape, inputs_pts.shape, inputs_views.shape) # outputs = inputs_pts # for i in range(D): # outputs = dense(W)(outputs) # if i in skips: # outputs = tf.concat([inputs_pts, outputs], -1) # if use_viewdirs: # # !Re alpha is view-independent, if not used, then it simulates Lambertian。 # alpha_out = dense(1, act=None)(outputs) # !Re shouldn't this be relu? # bottleneck = dense(256, act=None)(outputs) # # !Re input view direction here # inputs_viewdirs = tf.concat( # [bottleneck, inputs_views], -1) # concat viewdirs # outputs = inputs_viewdirs # # The supplement to the paper states there are 4 hidden layers here, but this is an error since # # the experiments were actually run with 1 hidden layer, so we will leave it as 1. # # ! Re in CVPR paper, there is only one layer. # for i in range(1): # outputs = dense(W//2)(outputs) # # !Re: rgb, shoudn't this be sigmoid? # outputs = dense(3, act=None)(outputs) # outputs = tf.concat([outputs, alpha_out], -1) # !Re rgb+a # else: # outputs = dense(output_ch, act=None)(outputs) # model = tf.keras.Model(inputs=inputs, outputs=outputs) # return model # modified architecture v2 def init_nerf_model(D=8, W=256, input_ch=3, input_ch_views=3, output_ch=4, skips=[4], use_viewdirs=False): #!Re see p.18 of the paper for the model architecture relu = tf.keras.layers.ReLU() def dense(W, act=relu): return tf.keras.layers.Dense(W, activation=act) print('MODEL', input_ch, input_ch_views, type( input_ch), type(input_ch_views), use_viewdirs) input_ch = int(input_ch) input_ch_views = int(input_ch_views) inputs = tf.keras.Input(shape=(input_ch + input_ch_views)) inputs_pts, inputs_views = tf.split(inputs, [input_ch, input_ch_views], -1) #! assume the embedding always keeps raw input in first 3 elem input_views_raw, input_views_embedded = tf.split( inputs_views, [3, input_ch_views-3], -1) inputs_pts.set_shape([None, input_ch]) input_views_raw.set_shape([None, 3]) input_views_embedded.set_shape([None, input_ch_views-3]) print(inputs.shape, inputs_pts.shape, inputs_views.shape) outputs = inputs_pts for i in range(D): outputs = dense(W)(outputs) if i in skips: outputs = tf.concat([inputs_pts, outputs], -1) n_order = 8 # neural expansion order if use_viewdirs: #! Re modified this following NeX and refNerf alpha_out = dense(1, act=None)(outputs) # diffuse_out = dense(3, act='sigmoid')(outputs) norm_outputs = dense(3, act=None)(outputs) # pred normal bottleneck = dense(256, act=None)(outputs) # compute the angle between the view direction and the normal nDotv = tf.reduce_sum(norm_outputs * input_views_raw, axis=-1) nDotv = tf.expand_dims(nDotv, -1) inputs_viewdirs = tf.concat( [bottleneck, norm_outputs, nDotv, input_views_embedded], -1) # concat viewdirs outputs = inputs_viewdirs # The supplement to the paper states there are 4 hidden layers here, but this is an error since # the experiments were actually run with 1 hidden layer, so we will leave it as 1. outputs = dense(W//2)(outputs) outputs = dense(W//2)(outputs) #! use tanh to express the idea that specular could be black #! Feb 3. modified back to vanilla nerf rgb_outputs = dense(3, act=None)(outputs) # isOutline = tf.pow(isOutline, 6) # rgb_outputs = diffuse_out + specular_out # specular_out # diffuse + specular # !Re rgb+a+norm, 7 channels outputs = tf.concat([rgb_outputs, alpha_out, norm_outputs], -1) else: outputs = dense(output_ch, act=None)(outputs) model = tf.keras.Model(inputs=inputs, outputs=outputs) return model # Ray helpers def get_rays(H, W, focal, c2w): """Get ray origins, directions from a pinhole camera.""" #!Re: c2w is the camera to world matrix, which is the inverse of the world to camera matrix. #!Re: https://en.wikipedia.org/wiki/Pinhole_camera_model i, j = tf.meshgrid(tf.range(W, dtype=tf.float32), tf.range(H, dtype=tf.float32), indexing='xy') #!Re multiply by .5 is just dividing by 2. #!Re i,j is the mapped into [-W/2, W/2], see pinhole camera model for intuition. #!Re dirs are the normalized ray directions in camera space. the z axis is fixed. dirs = tf.stack([(i-W*.5)/focal, -(j-H*.5)/focal, -tf.ones_like(i)], -1) #!Re: c2w[:3, :3] is rotation part of the camera to world matrix. rays_d = tf.reduce_sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) #! Re: c2w[:3, -1] is the translation part. rays_o = tf.broadcast_to(c2w[:3, -1], tf.shape(rays_d)) return rays_o, rays_d #!Re see https://github.com/bmild/nerf/issues/92 def get_rays_np(H, W, focal, c2w): """Get ray origins, directions from a pinhole camera.""" if None: return get_rays_np_sub_pix(H, W, focal, c2w) i, j = np.meshgrid(np.arange(W, dtype=np.float32), np.arange(H, dtype=np.float32), indexing='xy') dirs = np.stack([(i-W*.5)/focal, -(j-H*.5)/focal, -np.ones_like(i)], -1) rays_d = np.sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) rays_o = np.broadcast_to(c2w[:3, -1], np.shape(rays_d)) return rays_o, rays_d def get_rays_np_sub_pix(H, W, focal, c2w): """ Get ray origins, directions from a pinhole camera. Sample 4 rays for a single pixel """ i, j = np.meshgrid(np.arange(2*W, dtype=np.float32), np.arange(2*H, dtype=np.float32), indexing='xy') dirs = np.stack([(i-W)/(focal), -(j-H) / (focal), -np.ones_like(i)], -1) rays_d = np.sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) # just divide them by 2 since the rays are centered wrt the principal ray rays_d /= np.array([2, 2, 1]) rays_o = np.broadcast_to(c2w[:3, -1], np.shape(rays_d)) return rays_o, rays_d a = get_rays_np_sub_pix(2, 2, 0.5, np.array( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0]])) def ndc_rays(H, W, focal, near, rays_o, rays_d): """Normalized device coordinate rays. Space such that the canvas is a cube with sides [-1, 1] in each axis. Args: H: int. Height in pixels. W: int. Width in pixels. focal: float. Focal length of pinhole camera. near: float or array of shape[batch_size]. Near depth bound for the scene. rays_o: array of shape [batch_size, 3]. Camera origin. rays_d: array of shape [batch_size, 3]. Ray direction. Returns: rays_o: array of shape [batch_size, 3]. Camera origin in NDC. rays_d: array of shape [batch_size, 3]. Ray direction in NDC. """ # Shift ray origins to near plane #!Re todo check this later. t = -(near + rays_o[..., 2]) / rays_d[..., 2] rays_o = rays_o + t[..., None] * rays_d # Projection o0 = -1./(W/(2.*focal)) * rays_o[..., 0] / rays_o[..., 2] o1 = -1./(H/(2.*focal)) * rays_o[..., 1] / rays_o[..., 2] o2 = 1. + 2. * near / rays_o[..., 2] d0 = -1./(W/(2.*focal)) * \ (rays_d[..., 0]/rays_d[..., 2] - rays_o[..., 0]/rays_o[..., 2]) d1 = -1./(H/(2.*focal)) * \ (rays_d[..., 1]/rays_d[..., 2] - rays_o[..., 1]/rays_o[..., 2]) d2 = -2. * near / rays_o[..., 2] rays_o = tf.stack([o0, o1, o2], -1) rays_d = tf.stack([d0, d1, d2], -1) return rays_o, rays_d # Hierarchical sampling helper def sample_pdf(bins, weights, N_samples, det=False): # Get pdf weights += 1e-5 # prevent nans #! Re normalize pdf = weights / tf.reduce_sum(weights, -1, keepdims=True) cdf = tf.cumsum(pdf, -1) cdf = tf.concat([tf.zeros_like(cdf[..., :1]), cdf], -1) # Take uniform samples if det: #! Re if deterministic, then take uniform samples u = tf.linspace(0., 1., N_samples) u = tf.broadcast_to(u, list(cdf.shape[:-1]) + [N_samples]) else: #!Re else take samples from uniform distribution u = tf.random.uniform(list(cdf.shape[:-1]) + [N_samples]) # Invert CDF #!Re index of the bin inds = tf.searchsorted(cdf, u, side='right') below = tf.maximum(0, inds-1) above = tf.minimum(cdf.shape[-1]-1, inds) inds_g = tf.stack([below, above], -1) cdf_g = tf.gather(cdf, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2) bins_g = tf.gather(bins, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2) denom = (cdf_g[..., 1]-cdf_g[..., 0]) denom = tf.where(denom < 1e-5, tf.ones_like(denom), denom) t = (u-cdf_g[..., 0])/denom samples = bins_g[..., 0] + t * (bins_g[..., 1]-bins_g[..., 0]) return samples # %% if __name__ == "__main__": rays = [get_rays_np_sub_pix(4, 4, 0.5, np.array( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0]])) for _ in range(16)] rays = np.stack(rays, 0) # %% # Ray helpers def get_rays(H, W, focal, c2w): """Get ray origins, directions from a pinhole camera.""" #!Re: c2w is the camera to world matrix, which is the inverse of the world to camera matrix. #!Re: https://en.wikipedia.org/wiki/Pinhole_camera_model i, j = tf.meshgrid(tf.range(W, dtype=tf.float32), tf.range(H, dtype=tf.float32), indexing='xy') #!Re multiply by .5 is just dividing by 2. #!Re i,j is the mapped into [-W/2, W/2], see pinhole camera model for intuition. #!Re dirs are the normalized ray directions in camera space. the z axis is fixed. dirs = tf.stack([(i-W*.5)/focal, -(j-H*.5)/focal, -tf.ones_like(i)], -1) #!Re: c2w[:3, :3] is rotation part of the camera to world matrix. rays_d = tf.reduce_sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) #! Re: c2w[:3, -1] is the translation part. rays_o = tf.broadcast_to(c2w[:3, -1], tf.shape(rays_d)) return rays_o, rays_d #!Re see https://github.com/bmild/nerf/issues/92 def get_rays_np(H, W, focal, c2w): """Get ray origins, directions from a pinhole camera.""" if None: return get_rays_np_sub_pix(H, W, focal, c2w) i, j = np.meshgrid(np.arange(W, dtype=np.float32), np.arange(H, dtype=np.float32), indexing='xy') dirs = np.stack([(i-W*.5)/focal, -(j-H*.5)/focal, -np.ones_like(i)], -1) rays_d = np.sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) rays_o = np.broadcast_to(c2w[:3, -1], np.shape(rays_d)) return rays_o, rays_d def get_rays_np_sub_pix(H, W, focal, c2w): """ Get ray origins, directions from a pinhole camera. Sample 4 rays for a single pixel """ i, j = np.meshgrid(np.arange(2*W, dtype=np.float32), np.arange(2*H, dtype=np.float32), indexing='xy') dirs = np.stack([(i-W)/(focal), -(j-H) / (focal), -np.ones_like(i)], -1) rays_d = np.sum(dirs[..., np.newaxis, :] * c2w[:3, :3], -1) # just divide them by 2 since the rays are centered wrt the principal ray rays_d /= np.array([2, 2, 1]) rays_o = np.broadcast_to(c2w[:3, -1], np.shape(rays_d)) return rays_o, rays_d a = get_rays_np_sub_pix(2, 2, 0.5, np.array( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0]])) def ndc_rays(H, W, focal, near, rays_o, rays_d): """Normalized device coordinate rays. Space such that the canvas is a cube with sides [-1, 1] in each axis. Args: H: int. Height in pixels. W: int. Width in pixels. focal: float. Focal length of pinhole camera. near: float or array of shape[batch_size]. Near depth bound for the scene. rays_o: array of shape [batch_size, 3]. Camera origin. rays_d: array of shape [batch_size, 3]. Ray direction. Returns: rays_o: array of shape [batch_size, 3]. Camera origin in NDC. rays_d: array of shape [batch_size, 3]. Ray direction in NDC. """ # Shift ray origins to near plane #!Re todo check this later. t = -(near + rays_o[..., 2]) / rays_d[..., 2] rays_o = rays_o + t[..., None] * rays_d # Projection o0 = -1./(W/(2.*focal)) * rays_o[..., 0] / rays_o[..., 2] o1 = -1./(H/(2.*focal)) * rays_o[..., 1] / rays_o[..., 2] o2 = 1. + 2. * near / rays_o[..., 2] d0 = -1./(W/(2.*focal)) * \ (rays_d[..., 0]/rays_d[..., 2] - rays_o[..., 0]/rays_o[..., 2]) d1 = -1./(H/(2.*focal)) * \ (rays_d[..., 1]/rays_d[..., 2] - rays_o[..., 1]/rays_o[..., 2]) d2 = -2. * near / rays_o[..., 2] rays_o = tf.stack([o0, o1, o2], -1) rays_d = tf.stack([d0, d1, d2], -1) return rays_o, rays_d # Hierarchical sampling helper def sample_pdf(bins, weights, N_samples, det=False): # Get pdf weights += 1e-5 # prevent nans #! Re normalize pdf = weights / tf.reduce_sum(weights, -1, keepdims=True) cdf = tf.cumsum(pdf, -1) cdf = tf.concat([tf.zeros_like(cdf[..., :1]), cdf], -1) # Take uniform samples if det: #! Re if deterministic, then take uniform samples u = tf.linspace(0., 1., N_samples) u = tf.broadcast_to(u, list(cdf.shape[:-1]) + [N_samples]) else: #!Re else take samples from uniform distribution u = tf.random.uniform(list(cdf.shape[:-1]) + [N_samples]) # Invert CDF #!Re index of the bin inds = tf.searchsorted(cdf, u, side='right') below = tf.maximum(0, inds-1) above = tf.minimum(cdf.shape[-1]-1, inds) inds_g = tf.stack([below, above], -1) cdf_g = tf.gather(cdf, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2) bins_g = tf.gather(bins, inds_g, axis=-1, batch_dims=len(inds_g.shape)-2) denom = (cdf_g[..., 1]-cdf_g[..., 0]) denom = tf.where(denom < 1e-5, tf.ones_like(denom), denom) t = (u-cdf_g[..., 0])/denom samples = bins_g[..., 0] + t * (bins_g[..., 1]-bins_g[..., 0]) return samples # %% if __name__ == "__main__": rays = [get_rays_np_sub_pix(4, 4, 0.5, np.array( [[1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0]])) for _ in range(16)] rays = np.stack(rays, 0) # %%

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4d8fdac259eac6060900f5e627a3027a8869a495

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py

Python

Tests/test_Entrez.py

eoc21/biopython

c0f8db8f55a506837c320459957a0ce99b0618b6

[ "PostgreSQL" ]

3

2017-10-23T21:53:57.000Z

2019-09-23T05:14:12.000Z

Tests/test_Entrez.py

eoc21/biopython

c0f8db8f55a506837c320459957a0ce99b0618b6

[ "PostgreSQL" ]

null

Tests/test_Entrez.py

eoc21/biopython

c0f8db8f55a506837c320459957a0ce99b0618b6

[ "PostgreSQL" ]

6

2020-02-26T16:34:20.000Z

2020-03-04T15:34:00.000Z

'''Testing code for Bio.Entrez parsers. ''' import unittest from Bio import Entrez class EInfoTest(unittest.TestCase): '''Tests for parsing XML output returned by EInfo ''' def test_list(self): '''Test parsing database list returned by EInfo ''' # To create the XML file, use # >>> Bio.Entrez.einfo() input = open('Entrez/einfo1.xml') record = Entrez.read(input) self.assertEqual(record["DbList"], ['pubmed', 'protein', 'nucleotide', 'nuccore', 'nucgss', 'nucest', 'structure', 'genome', 'books', 'cancerchromosomes', 'cdd', 'gap', 'domains', 'gene', 'genomeprj', 'gensat', 'geo', 'gds', 'homologene', 'journals', 'mesh', 'ncbisearch', 'nlmcatalog', 'omia', 'omim', 'pmc', 'popset', 'probe', 'proteinclusters', 'pcassay', 'pccompound', 'pcsubstance', 'snp', 'taxonomy', 'toolkit', 'unigene', 'unists' ]) def test_pubmed(self): '''Test parsing database info returned by EInfo ''' # To create the XML file, use # >>> Bio.Entrez.einfo(db="pubmed") input = open('Entrez/einfo2.xml') record = Entrez.read(input) self.assertEqual(record["DbInfo"]['DbName'], 'pubmed') self.assertEqual(record["DbInfo"]['MenuName'], 'PubMed') self.assertEqual(record["DbInfo"]['Description'], 'PubMed bibliographic record') self.assertEqual(record["DbInfo"]['Count'], "17905967") self.assertEqual(record["DbInfo"]['LastUpdate'], '2008/04/15 06:42') self.assertEqual(len(record["DbInfo"]['FieldList']), 40) self.assertEqual(record["DbInfo"]['FieldList'][0]['Name'], 'ALL') self.assertEqual(record["DbInfo"]['FieldList'][0]['FullName'], 'All Fields') self.assertEqual(record["DbInfo"]['FieldList'][0]['Description'], 'All terms from all searchable fields') self.assertEqual(record["DbInfo"]['FieldList'][0]['TermCount'], "70792830") self.assertEqual(record["DbInfo"]['FieldList'][0]['IsDate'], 'N') self.assertEqual(record["DbInfo"]['FieldList'][0]['IsNumerical'], 'N') self.assertEqual(record["DbInfo"]['FieldList'][0]['SingleToken'], 'N') self.assertEqual(record["DbInfo"]['FieldList'][0]['Hierarchy'], 'N') self.assertEqual(record["DbInfo"]['FieldList'][0]['IsHidden'], 'N') self.assertEqual(len(record["DbInfo"]['LinkList']), 46) self.assertEqual(record["DbInfo"]['LinkList'][0]['Name'], 'pubmed_books_refs') self.assertEqual(record["DbInfo"]['LinkList'][0]['Menu'], 'Cited in Books') self.assertEqual(record["DbInfo"]['LinkList'][0]['Description'], 'PubMed links associated with Books') self.assertEqual(record["DbInfo"]['LinkList'][0]['DbTo'], 'books') class ESearchTest(unittest.TestCase): '''Tests for parsing XML output returned by ESearch ''' def test_pubmed1(self): '''Test parsing XML returned by ESearch from PubMed (first test) ''' # To create the XML file, use # >>> Bio.Entrez.esearch(db="pubmed", term="biopython") input = open('Entrez/esearch1.xml') record = Entrez.read(input) self.assertEqual(record['Count'], '5') self.assertEqual(record['RetMax'], '5') self.assertEqual(record['RetStart'], '0') self.assertEqual(len(record['IdList']), 5) self.assertEqual(record['IdList'][0], '16403221') self.assertEqual(record['IdList'][1], '16377612') self.assertEqual(record['IdList'][2], '14871861') self.assertEqual(record['IdList'][3], '14630660') self.assertEqual(record['IdList'][4], '12230038') self.assertEqual(len(record['TranslationSet']), 0) self.assertEqual(len(record['TranslationStack']), 2) self.assertEqual(record['TranslationStack'][0]['Term'], 'biopython[All Fields]') self.assertEqual(record['TranslationStack'][0]['Field'], 'All Fields') self.assertEqual(record['TranslationStack'][0]['Count'], '5') self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][1], 'GROUP') self.assertEqual(record['QueryTranslation'], 'biopython[All Fields]') def test_pubmed2(self): '''Test parsing XML returned by ESearch from PubMed (second test) ''' # Search in PubMed for the term cancer for the entrez date from # the last 60 days and retrieve the first 100 IDs and translations # using the history parameter. # To create the XML file, use # >>> Bio.Entrez.esearch(db="pubmed", term="cancer", reldate=60, # datetype="edat", retmax=100, usehistory="y") input = open('Entrez/esearch2.xml') record = Entrez.read(input) self.assertEqual(record['Count'], "10238") self.assertEqual(record['RetMax'], "100") self.assertEqual(record['RetStart'], "0") self.assertEqual(record['QueryKey'], '12') self.assertEqual(record['WebEnv'], '0rYFb69LfbTFXfG7-0HPo2BU-ZFWF1s_51WtYR5e0fAzThQCR0WIW12inPQRRIj1xUzSfGgG9ovT9-@263F6CC86FF8F760_0173SID') self.assertEqual(len(record['IdList']), 100) self.assertEqual(record['IdList'][0], '18411453') self.assertEqual(record['IdList'][1], '18411431') self.assertEqual(record['IdList'][2], '18411430') self.assertEqual(record['IdList'][3], '18411429') self.assertEqual(record['IdList'][4], '18411428') self.assertEqual(record['IdList'][5], '18411402') self.assertEqual(record['IdList'][6], '18411381') self.assertEqual(record['IdList'][7], '18411373') self.assertEqual(record['IdList'][8], '18411372') self.assertEqual(record['IdList'][9], '18411371') self.assertEqual(record['IdList'][10], '18411370') self.assertEqual(record['IdList'][11], '18411367') self.assertEqual(record['IdList'][12], '18411306') self.assertEqual(record['IdList'][13], '18411292') self.assertEqual(record['IdList'][14], '18411277') self.assertEqual(record['IdList'][15], '18411260') self.assertEqual(record['IdList'][16], '18411234') self.assertEqual(record['IdList'][17], '18411200') self.assertEqual(record['IdList'][18], '18411199') self.assertEqual(record['IdList'][19], '18411198') self.assertEqual(record['IdList'][20], '18411197') self.assertEqual(record['IdList'][21], '18411195') self.assertEqual(record['IdList'][22], '18411194') self.assertEqual(record['IdList'][23], '18411193') self.assertEqual(record['IdList'][24], '18411192') self.assertEqual(record['IdList'][25], '18411191') self.assertEqual(record['IdList'][26], '18411052') self.assertEqual(record['IdList'][27], '18411048') self.assertEqual(record['IdList'][28], '18411046') self.assertEqual(record['IdList'][29], '18411019') self.assertEqual(record['IdList'][30], '18411018') self.assertEqual(record['IdList'][31], '18411017') self.assertEqual(record['IdList'][32], '18411015') self.assertEqual(record['IdList'][33], '18411014') self.assertEqual(record['IdList'][34], '18411011') self.assertEqual(record['IdList'][35], '18411010') self.assertEqual(record['IdList'][36], '18411005') self.assertEqual(record['IdList'][37], '18411003') self.assertEqual(record['IdList'][38], '18411001') self.assertEqual(record['IdList'][39], '18411000') self.assertEqual(record['IdList'][40], '18410999') self.assertEqual(record['IdList'][41], '18410998') self.assertEqual(record['IdList'][42], '18410997') self.assertEqual(record['IdList'][43], '18410995') self.assertEqual(record['IdList'][44], '18410977') self.assertEqual(record['IdList'][45], '18410975') self.assertEqual(record['IdList'][46], '18410966') self.assertEqual(record['IdList'][47], '18410954') self.assertEqual(record['IdList'][48], '18410953') self.assertEqual(record['IdList'][49], '18410934') self.assertEqual(record['IdList'][50], '18410925') self.assertEqual(record['IdList'][51], '18410903') self.assertEqual(record['IdList'][52], '18410826') self.assertEqual(record['IdList'][53], '18410739') self.assertEqual(record['IdList'][54], '18410720') self.assertEqual(record['IdList'][55], '18410716') self.assertEqual(record['IdList'][56], '18410709') self.assertEqual(record['IdList'][57], '18410705') self.assertEqual(record['IdList'][58], '18410692') self.assertEqual(record['IdList'][59], '18410690') self.assertEqual(record['IdList'][60], '18410634') self.assertEqual(record['IdList'][61], '18410618') self.assertEqual(record['IdList'][62], '18410610') self.assertEqual(record['IdList'][63], '18410593') self.assertEqual(record['IdList'][64], '18410587') self.assertEqual(record['IdList'][65], '18410567') self.assertEqual(record['IdList'][66], '18410539') self.assertEqual(record['IdList'][67], '18410530') self.assertEqual(record['IdList'][68], '18410528') self.assertEqual(record['IdList'][69], '18410461') self.assertEqual(record['IdList'][70], '18410455') self.assertEqual(record['IdList'][71], '18410444') self.assertEqual(record['IdList'][72], '18410443') self.assertEqual(record['IdList'][73], '18410442') self.assertEqual(record['IdList'][74], '18410441') self.assertEqual(record['IdList'][75], '18410440') self.assertEqual(record['IdList'][76], '18410439') self.assertEqual(record['IdList'][77], '18410437') self.assertEqual(record['IdList'][78], '18410436') self.assertEqual(record['IdList'][79], '18410435') self.assertEqual(record['IdList'][80], '18410431') self.assertEqual(record['IdList'][81], '18410430') self.assertEqual(record['IdList'][82], '18410428') self.assertEqual(record['IdList'][83], '18410427') self.assertEqual(record['IdList'][84], '18410405') self.assertEqual(record['IdList'][85], '18410404') self.assertEqual(record['IdList'][86], '18410355') self.assertEqual(record['IdList'][87], '18410327') self.assertEqual(record['IdList'][88], '18410312') self.assertEqual(record['IdList'][89], '18410311') self.assertEqual(record['IdList'][90], '18410307') self.assertEqual(record['IdList'][91], '18410259') self.assertEqual(record['IdList'][92], '18410249') self.assertEqual(record['IdList'][93], '18410245') self.assertEqual(record['IdList'][94], '18410243') self.assertEqual(record['IdList'][95], '18410242') self.assertEqual(record['IdList'][96], '18410060') self.assertEqual(record['IdList'][97], '18410013') self.assertEqual(record['IdList'][98], '18409992') self.assertEqual(record['IdList'][99], '18409991') self.assertEqual(len(record['TranslationSet']), 1) self.assertEqual(record['TranslationSet'][0]['From'], 'cancer') self.assertEqual(record['TranslationSet'][0]['To'], '(("neoplasms"[TIAB] NOT Medline[SB]) OR "neoplasms"[MeSH Terms] OR cancer[Text Word])') self.assertEqual(len(record['TranslationStack']), 13) self.assertEqual(record['TranslationStack'][0]['Term'], '"neoplasms"[TIAB]') self.assertEqual(record['TranslationStack'][0]['Field'], 'TIAB') self.assertEqual(record['TranslationStack'][0]['Count'], "52104") self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][1]['Term'], 'Medline[SB]') self.assertEqual(record['TranslationStack'][1]['Field'], 'SB') self.assertEqual(record['TranslationStack'][1]['Count'], "16509514") self.assertEqual(record['TranslationStack'][1]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][2], 'NOT') self.assertEqual(record['TranslationStack'][3], 'GROUP') self.assertEqual(record['TranslationStack'][4]['Term'], '"neoplasms"[MeSH Terms]') self.assertEqual(record['TranslationStack'][4]['Field'], 'MeSH Terms') self.assertEqual(record['TranslationStack'][4]['Count'], "1918010") self.assertEqual(record['TranslationStack'][4]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][5], 'OR') self.assertEqual(record['TranslationStack'][6]['Term'], 'cancer[Text Word]') self.assertEqual(record['TranslationStack'][6]['Field'], 'Text Word') self.assertEqual(record['TranslationStack'][6]['Count'], "638849") self.assertEqual(record['TranslationStack'][6]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][7], 'OR') self.assertEqual(record['TranslationStack'][8], 'GROUP') self.assertEqual(record['TranslationStack'][9]['Term'], '2008/02/16[EDAT]') self.assertEqual(record['TranslationStack'][9]['Field'], 'EDAT') self.assertEqual(record['TranslationStack'][9]['Count'], "-1") self.assertEqual(record['TranslationStack'][9]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][10]['Term'], '2008/04/16[EDAT]') self.assertEqual(record['TranslationStack'][10]['Field'], 'EDAT') self.assertEqual(record['TranslationStack'][10]['Count'], "-1") self.assertEqual(record['TranslationStack'][10]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][11], 'RANGE') self.assertEqual(record['TranslationStack'][12], 'AND') self.assertEqual(record['QueryTranslation'], '(("neoplasms"[TIAB] NOT Medline[SB]) OR "neoplasms"[MeSH Terms] OR cancer[Text Word]) AND 2008/02/16[EDAT] : 2008/04/16[EDAT]') def test_pubmed3(self): '''Test parsing XML returned by ESearch from PubMed (third test) ''' # Search in PubMed for the journal PNAS Volume 97, and retrieve # 6 IDs starting at ID 7. # To create the XML file, use # >>> Bio.Entrez.esearch(db="pubmed", term="PNAS[ta] AND 97[vi]", # retstart=6, retmax=6) input = open('Entrez/esearch3.xml') record = Entrez.read(input) self.assertEqual(record['Count'], '2652') self.assertEqual(record['RetMax'], '6') self.assertEqual(record['RetStart'], '6') self.assertEqual(len(record['IdList']), 6) self.assertEqual(record['IdList'][0], '11121077') self.assertEqual(record['IdList'][1], '11121076') self.assertEqual(record['IdList'][2], '11121075') self.assertEqual(record['IdList'][3], '11121074') self.assertEqual(record['IdList'][4], '11121073') self.assertEqual(record['IdList'][5], '11121072') self.assertEqual(len(record['TranslationSet']), 1) self.assertEqual(record['TranslationSet'][0]['From'], 'PNAS[ta]') self.assertEqual(record['TranslationSet'][0]['To'], '"Proc Natl Acad Sci U S A"[Journal:__jrid6653]') self.assertEqual(len(record['TranslationStack']), 3) self.assertEqual(record['TranslationStack'][0]['Term'], '"Proc Natl Acad Sci U S A"[Journal]') self.assertEqual(record['TranslationStack'][0]['Field'], 'Journal') self.assertEqual(record['TranslationStack'][0]['Count'], '91806') self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][1]['Term'], '97[vi]') self.assertEqual(record['TranslationStack'][1]['Field'], 'vi') self.assertEqual(record['TranslationStack'][1]['Count'], '58681') self.assertEqual(record['TranslationStack'][1]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][2], 'AND') self.assertEqual(record['QueryTranslation'], '"Proc Natl Acad Sci U S A"[Journal] AND 97[vi]') def test_journals(self): '''Test parsing XML returned by ESearch from the Journals database ''' # Search in Journals for the term obstetrics. # To create the XML file, use # >>> Bio.Entrez.esearch(db="journals", term="obstetrics") input = open('Entrez/esearch4.xml') record = Entrez.read(input) self.assertEqual(record['Count'], '177') self.assertEqual(record['RetMax'], '20') self.assertEqual(record['RetStart'], '0') self.assertEqual(len(record['IdList']), 20) self.assertEqual(record['IdList'][0], '75') self.assertEqual(record['IdList'][1], '138') self.assertEqual(record['IdList'][2], '136') self.assertEqual(record['IdList'][3], '137') self.assertEqual(record['IdList'][4], '139') self.assertEqual(record['IdList'][5], '140') self.assertEqual(record['IdList'][6], '355') self.assertEqual(record['IdList'][7], '354') self.assertEqual(record['IdList'][8], '27731') self.assertEqual(record['IdList'][9], '439') self.assertEqual(record['IdList'][10], '564') self.assertEqual(record['IdList'][11], '617') self.assertEqual(record['IdList'][12], '749') self.assertEqual(record['IdList'][13], '735') self.assertEqual(record['IdList'][14], '815') self.assertEqual(record['IdList'][15], '905') self.assertEqual(record['IdList'][16], '903') self.assertEqual(record['IdList'][17], '932') self.assertEqual(record['IdList'][18], '933') self.assertEqual(record['IdList'][19], '875') self.assertEqual(len(record['TranslationSet']), 0) self.assertEqual(len(record['TranslationStack']), 2) self.assertEqual(record['TranslationStack'][0]['Term'], 'obstetrics[All Fields]') self.assertEqual(record['TranslationStack'][0]['Field'], 'All Fields') self.assertEqual(record['TranslationStack'][0]['Count'], '177') self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][0].tag, "TermSet") self.assertEqual(record['TranslationStack'][1], 'GROUP') self.assertEqual(record['TranslationStack'][1].tag, "OP") self.assertEqual(record['QueryTranslation'], 'obstetrics[All Fields]') def test_pmc(self): '''Test parsing XML returned by ESearch from PubMed Central ''' # Search in PubMed Central for stem cells in free fulltext articles. # To create the XML file, use # >>> Bio.Entrez.esearch(db="pmc", # term="stem cells AND free fulltext[filter]") input = open('Entrez/esearch5.xml') record = Entrez.read(input) self.assertEqual(record['Count'], '23492') self.assertEqual(record['RetMax'], '20') self.assertEqual(record['RetStart'], '0') self.assertEqual(len(record['IdList']), 20) self.assertEqual(record['IdList'][0], '1894783') self.assertEqual(record['IdList'][1], '2064507') self.assertEqual(record['IdList'][2], '520747') self.assertEqual(record['IdList'][3], '2043120') self.assertEqual(record['IdList'][4], '2118723') self.assertEqual(record['IdList'][5], '1815228') self.assertEqual(record['IdList'][6], '1253596') self.assertEqual(record['IdList'][7], '2077853') self.assertEqual(record['IdList'][8], '1308908') self.assertEqual(record['IdList'][9], '2233634') self.assertEqual(record['IdList'][10], '556262') self.assertEqual(record['IdList'][11], '1925137') self.assertEqual(record['IdList'][12], '1860068') self.assertEqual(record['IdList'][13], '1626529') self.assertEqual(record['IdList'][14], '2217616') self.assertEqual(record['IdList'][15], '1584276') self.assertEqual(record['IdList'][16], '2000702') self.assertEqual(record['IdList'][17], '186324') self.assertEqual(record['IdList'][18], '1959362') self.assertEqual(record['IdList'][19], '1413911') self.assertEqual(len(record['TranslationSet']), 1) self.assertEqual(record['TranslationSet'][0]['From'], 'stem cells') self.assertEqual(record['TranslationSet'][0]['To'], '("stem cells"[MeSH Terms] OR stem cells[Acknowledgments] OR stem cells[Figure/Table Caption] OR stem cells[Section Title] OR stem cells[Body - All Words] OR stem cells[Title] OR stem cells[Abstract])') self.assertEqual(len(record['TranslationStack']), 16) self.assertEqual(record['TranslationStack'][0]['Term'], '"stem cells"[MeSH Terms]') self.assertEqual(record['TranslationStack'][0]['Field'], 'MeSH Terms') self.assertEqual(record['TranslationStack'][0]['Count'], '12224') self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][1]['Term'], 'stem cells[Acknowledgments]') self.assertEqual(record['TranslationStack'][1]['Field'], 'Acknowledgments') self.assertEqual(record['TranslationStack'][1]['Count'], '79') self.assertEqual(record['TranslationStack'][1]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][2], 'OR') self.assertEqual(record['TranslationStack'][3]['Term'], 'stem cells[Figure/Table Caption]') self.assertEqual(record['TranslationStack'][3]['Field'], 'Figure/Table Caption') self.assertEqual(record['TranslationStack'][3]['Count'], '806') self.assertEqual(record['TranslationStack'][3]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][4], 'OR') self.assertEqual(record['TranslationStack'][5]['Term'], 'stem cells[Section Title]') self.assertEqual(record['TranslationStack'][5]['Field'], 'Section Title') self.assertEqual(record['TranslationStack'][5]['Count'], '522') self.assertEqual(record['TranslationStack'][5]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][6], 'OR') self.assertEqual(record['TranslationStack'][7]['Term'], 'stem cells[Body - All Words]') self.assertEqual(record['TranslationStack'][7]['Field'], 'Body - All Words') self.assertEqual(record['TranslationStack'][7]['Count'], '13936') self.assertEqual(record['TranslationStack'][7]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][8], 'OR') self.assertEqual(record['TranslationStack'][9]['Term'], 'stem cells[Title]') self.assertEqual(record['TranslationStack'][9]['Field'], 'Title') self.assertEqual(record['TranslationStack'][9]['Count'], '1005') self.assertEqual(record['TranslationStack'][9]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][10], 'OR') self.assertEqual(record['TranslationStack'][11]['Term'], 'stem cells[Abstract]') self.assertEqual(record['TranslationStack'][11]['Field'], 'Abstract') self.assertEqual(record['TranslationStack'][11]['Count'], '2503') self.assertEqual(record['TranslationStack'][11]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][12], 'OR') self.assertEqual(record['TranslationStack'][13], 'GROUP') self.assertEqual(record['TranslationStack'][14]['Term'], 'free fulltext[filter]') self.assertEqual(record['TranslationStack'][14]['Field'], 'filter') self.assertEqual(record['TranslationStack'][14]['Count'], '1412839') self.assertEqual(record['TranslationStack'][14]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][15], 'AND') self.assertEqual(record['QueryTranslation'], '("stem cells"[MeSH Terms] OR stem cells[Acknowledgments] OR stem cells[Figure/Table Caption] OR stem cells[Section Title] OR stem cells[Body - All Words] OR stem cells[Title] OR stem cells[Abstract]) AND free fulltext[filter]') def test_nucleotide(self): '''Test parsing XML returned by ESearch from the Nucleotide database ''' # Search in Nucleotide for a property of the sequence, # To create the XML file, use # >>> Bio.Entrez.esearch(db="nucleotide", term="biomol trna[prop]") input = open('Entrez/esearch6.xml') record = Entrez.read(input) self.assertEqual(record['Count'], "699") self.assertEqual(record['RetMax'], "20") self.assertEqual(record['RetStart'], "0") self.assertEqual(len(record['IdList']), 20) self.assertEqual(record['IdList'][0], '220161') self.assertEqual(record['IdList'][1], '220160') self.assertEqual(record['IdList'][2], '220159') self.assertEqual(record['IdList'][3], '220263') self.assertEqual(record['IdList'][4], '220162') self.assertEqual(record['IdList'][5], '159885659') self.assertEqual(record['IdList'][6], '156572228') self.assertEqual(record['IdList'][7], '2648075') self.assertEqual(record['IdList'][8], '287595') self.assertEqual(record['IdList'][9], '402544') self.assertEqual(record['IdList'][10], '402506') self.assertEqual(record['IdList'][11], '402505') self.assertEqual(record['IdList'][12], '287594') self.assertEqual(record['IdList'][13], '287593') self.assertEqual(record['IdList'][14], '287592') self.assertEqual(record['IdList'][15], '287591') self.assertEqual(record['IdList'][16], '287590') self.assertEqual(record['IdList'][17], '287589') self.assertEqual(record['IdList'][18], '287588') self.assertEqual(record['IdList'][19], '287587') self.assertEqual(len(record['TranslationSet']), 0) self.assertEqual(record['QueryTranslation'], '') def test_protein(self): '''Test parsing XML returned by ESearch from the Protein database ''' # Search in Protein for a molecular weight # To create the XML file, use # >>> Bio.Entrez.esearch(db="protein", term="200020[molecular weight]") input = open('Entrez/esearch7.xml') record = Entrez.read(input) self.assertEqual(record['Count'], '3') self.assertEqual(record['RetMax'], '3') self.assertEqual(record['RetStart'], '0') self.assertEqual(len(record['IdList']), 3) self.assertEqual(record['IdList'][0], '16766766') self.assertEqual(record['IdList'][1], '16422035') self.assertEqual(record['IdList'][2], '4104812') self.assertEqual(len(record['TranslationSet']), 0) self.assertEqual(len(record['TranslationStack']), 2) self.assertEqual(record['TranslationStack'][0]['Term'], '000200020[molecular weight]') self.assertEqual(record['TranslationStack'][0]['Field'], 'molecular weight') self.assertEqual(record['TranslationStack'][0]['Count'], '3') self.assertEqual(record['TranslationStack'][0]['Explode'], 'Y') self.assertEqual(record['TranslationStack'][1], 'GROUP') self.assertEqual(record['QueryTranslation'], '000200020[molecular weight]') def test_notfound(self): '''Test parsing XML returned by ESearch when no items were found ''' # To create the XML file, use # >>> Bio.Entrez.esearch(db="protein", term="abcXYZ") input = open('Entrez/esearch8.xml') record = Entrez.read(input) self.assertEqual(record['Count'], "0") self.assertEqual(record['RetMax'], "0") self.assertEqual(record['RetStart'], "0") self.assertEqual(len(record['IdList']), 0) self.assertEqual(len(record['TranslationSet']), 0) self.assertEqual(record['QueryTranslation'], '') self.assertEqual(len(record['ErrorList']), 2) self.assert_("PhraseNotFound" in record['ErrorList']) self.assert_("FieldNotFound" in record['ErrorList']) self.assertEqual(len(record['ErrorList']["PhraseNotFound"]), 1) self.assertEqual(len(record['ErrorList']["FieldNotFound"]), 0) self.assertEqual(record['ErrorList']["PhraseNotFound"][0], "abcXYZ") self.assertEqual(len(record['WarningList']), 3) self.assert_("PhraseIgnored" in record['WarningList']) self.assert_("QuotedPhraseNotFound" in record['WarningList']) self.assert_("OutputMessage" in record['WarningList']) self.assertEqual(len(record['WarningList']["PhraseIgnored"]), 0) self.assertEqual(len(record['WarningList']["QuotedPhraseNotFound"]), 0) self.assertEqual(len(record['WarningList']["OutputMessage"]), 1) self.assertEqual(record['WarningList']["OutputMessage"][0], "No items found.") class EPostTest(unittest.TestCase): '''Tests for parsing XML output returned by EPost ''' # Don't know how to get an InvalidIdList in the XML returned by EPost; # unable to test if we are parsing it correctly. def test_epost(self): '''Test parsing XML returned by EPost ''' # To create the XML file, use # >>> Bio.Entrez.epost(db="pubmed", id="11237011") input = open('Entrez/epost1.xml') record = Entrez.read(input) self.assertEqual(record["QueryKey"], '1') self.assertEqual(record["WebEnv"], '0zYsuLk3zG_lRMkblPBEqnT8nIENUGw4HAy8xXChTnoVm7GEnWY71jv3nz@1FC077F3806DE010_0042SID') def test_wrong(self): '''Test parsing XML returned by EPost with incorrect arguments ''' # To create the XML file, use # >>> Bio.Entrez.epost(db="nothing") input = open('Entrez/epost2.xml') self.assertRaises(RuntimeError, Entrez.read, input) def test_invalid(self): '''Test parsing XML returned by EPost with an invalid id (overflow tag) ''' # To create the XML file, use # >>> Bio.Entrez.epost(db="pubmed", id=99999999999999999999999999999999) input = open('Entrez/epost3.xml') record = Entrez.read(input) self.assertEqual(record["InvalidIdList"], ["-1"]) self.assertEqual(record["QueryKey"], "1") self.assertEqual(record["WebEnv"], "08AIUeBsfIk6BfdzKnd3GM2RtCudczC9jm5aeb4US0o7azCTQCeCsr-xg0@1EDE54E680D03C40_0011SID") class ESummaryTest(unittest.TestCase): '''Tests for parsing XML output returned by ESummary ''' # Items have a type, which can be # (Integer|Date|String|Structure|List|Flags|Qualifier|Enumerator|Unknown) # I don't have an XML file where the type "Flags", "Qualifier", # "Enumerator", or "Unknown" is used, so they are not tested here. def test_pubmed(self): '''Test parsing XML returned by ESummary from PubMed ''' # In PubMed display records for PMIDs 11850928 and 11482001 in # xml retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="pubmed", id=["11850928","11482001"], # retmode="xml") input = open('Entrez/esummary1.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "11850928") self.assertEqual(record[0]["PubDate"], "1965 Aug") self.assertEqual(record[0]["EPubDate"], "") self.assertEqual(record[0]["Source"], "Arch Dermatol") self.assertEqual(len(record[0]["AuthorList"]), 2) self.assertEqual(record[0]["AuthorList"][0], "LoPresti PJ") self.assertEqual(record[0]["AuthorList"][1], "Hambrick GW Jr") self.assertEqual(record[0]["LastAuthor"], "Hambrick GW Jr") self.assertEqual(record[0]["Title"], "Zirconium granuloma following treatment of rhus dermatitis.") self.assertEqual(record[0]["Volume"], "92") self.assertEqual(record[0]["Issue"], "2") self.assertEqual(record[0]["Pages"], "188-91") self.assertEqual(record[0]["LangList"], ["English"]) self.assertEqual(record[0]["NlmUniqueID"], "0372433") self.assertEqual(record[0]["ISSN"], "0003-987X") self.assertEqual(record[0]["ESSN"], "1538-3652") self.assertEqual(len(record[0]["PubTypeList"]), 1) self.assertEqual(record[0]["PubTypeList"][0], "Journal Article") self.assertEqual(record[0]["RecordStatus"], "PubMed - indexed for MEDLINE") self.assertEqual(record[0]["PubStatus"], "ppublish") self.assertEqual(len(record[0]["ArticleIds"]), 2) self.assertEqual(record[0]["ArticleIds"]["pubmed"], ["11850928"]) self.assertEqual(record[0]["ArticleIds"]["medline"], []) self.assertEqual(len(record[0]["History"]), 2) self.assertEqual(record[0]["History"]["pubmed"], ["1965/08/01 00:00"]) self.assertEqual(record[0]["History"]["medline"], ["2002/03/09 10:01"]) self.assertEqual(len(record[0]["References"]), 0) self.assertEqual(record[0]["HasAbstract"], 1) self.assertEqual(record[0]["PmcRefCount"], 0) self.assertEqual(record[0]["FullJournalName"], "Archives of dermatology") self.assertEqual(record[0]["ELocationID"], "") self.assertEqual(record[0]["SO"], "1965 Aug;92(2):188-91") self.assertEqual(record[1]["Id"], "11482001") self.assertEqual(record[1]["PubDate"], "2001 Jun") self.assertEqual(record[1]["EPubDate"], "") self.assertEqual(record[1]["Source"], "Adverse Drug React Toxicol Rev") self.assertEqual(len(record[1]["AuthorList"]), 3) self.assertEqual(record[1]["AuthorList"][0], "Mantle D") self.assertEqual(record[1]["AuthorList"][1], "Gok MA") self.assertEqual(record[1]["AuthorList"][2], "Lennard TW") self.assertEqual(record[1]["LastAuthor"], "Lennard TW") self.assertEqual(record[1]["Title"], "Adverse and beneficial effects of plant extracts on skin and skin disorders.") self.assertEqual(record[1]["Volume"], "20") self.assertEqual(record[1]["Issue"], "2") self.assertEqual(record[1]["Pages"], "89-103") self.assertEqual(len(record[1]["LangList"]), 1) self.assertEqual(record[1]["LangList"][0], "English") self.assertEqual(record[1]["NlmUniqueID"], "9109474") self.assertEqual(record[1]["ISSN"], "0964-198X") self.assertEqual(record[1]["ESSN"], "") self.assertEqual(len(record[1]["PubTypeList"]), 2) self.assertEqual(record[1]["PubTypeList"][0], "Journal Article") self.assertEqual(record[1]["PubTypeList"][1], "Review") self.assertEqual(record[1]["RecordStatus"], "PubMed - indexed for MEDLINE") self.assertEqual(record[1]["PubStatus"], "ppublish") self.assertEqual(len(record[1]["ArticleIds"]), 2) self.assertEqual(record[1]["ArticleIds"]["pubmed"], ["11482001"]) self.assertEqual(record[1]["ArticleIds"]["medline"], []) self.assertEqual(len(record[1]["History"]), 2) self.assertEqual(record[1]["History"]["pubmed"], ["2001/08/03 10:00"]) self.assertEqual(record[1]["History"]["medline"], ["2002/01/23 10:01"]) self.assertEqual(len(record[1]["References"]), 0) self.assertEqual(record[1]["HasAbstract"], 1) self.assertEqual(record[1]["PmcRefCount"], 0) self.assertEqual(record[1]["FullJournalName"], "Adverse drug reactions and toxicological reviews") self.assertEqual(record[1]["ELocationID"], "") self.assertEqual(record[1]["SO"], "2001 Jun;20(2):89-103") def test_journals(self): '''Test parsing XML returned by ESummary from the Journals database ''' # In Journals display records for journal IDs 27731,439,735,905 # To create the XML file, use # >>> Bio.Entrez.esummary(db="journals", id="27731,439,735,905") input = open('Entrez/esummary2.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "27731") self.assertEqual(record[0]["Title"], "The American journal of obstetrics and diseases of women and children") self.assertEqual(record[0]["MedAbbr"], "Am J Obstet Dis Women Child") self.assertEqual(record[0]["IsoAbbr"], "") self.assertEqual(record[0]["NlmId"], "14820330R") self.assertEqual(record[0]["pISSN"], "0894-5543") self.assertEqual(record[0]["eISSN"], "") self.assertEqual(record[0]["PublicationStartYear"], "1868") self.assertEqual(record[0]["PublicationEndYear"], "1919") self.assertEqual(record[0]["Publisher"], "W.A. Townsend & Adams, $c [1868-1919]") self.assertEqual(record[0]["Language"], "eng") self.assertEqual(record[0]["Country"], "United States") self.assertEqual(len(record[0]["BroadHeading"]), 0) self.assertEqual(record[0]["ContinuationNotes"], "") self.assertEqual(record[1]["Id"], "439") self.assertEqual(record[1]["Title"], "American journal of obstetrics and gynecology") self.assertEqual(record[1]["MedAbbr"], "Am J Obstet Gynecol") self.assertEqual(record[1]["IsoAbbr"], "Am. J. Obstet. Gynecol.") self.assertEqual(record[1]["NlmId"], "0370476") self.assertEqual(record[1]["pISSN"], "0002-9378") self.assertEqual(record[1]["eISSN"], "1097-6868") self.assertEqual(record[1]["PublicationStartYear"], "1920") self.assertEqual(record[1]["PublicationEndYear"], "") self.assertEqual(record[1]["Publisher"], "Elsevier,") self.assertEqual(record[1]["Language"], "eng") self.assertEqual(record[1]["Country"], "United States") self.assertEqual(len(record[1]["BroadHeading"]), 2) self.assertEqual(record[1]["BroadHeading"][0], "Gynecology") self.assertEqual(record[1]["BroadHeading"][1], "Obstetrics") self.assertEqual(record[1]["ContinuationNotes"], "Continues: American journal of obstetrics and diseases of women and children. ") self.assertEqual(record[2]["Id"], "735") self.assertEqual(record[2]["Title"], "Archives of gynecology and obstetrics") self.assertEqual(record[2]["MedAbbr"], "Arch Gynecol Obstet") self.assertEqual(record[2]["IsoAbbr"], "Arch. Gynecol. Obstet.") self.assertEqual(record[2]["NlmId"], "8710213") self.assertEqual(record[2]["pISSN"], "0932-0067") self.assertEqual(record[2]["eISSN"], "1432-0711") self.assertEqual(record[2]["PublicationStartYear"], "1987") self.assertEqual(record[2]["PublicationEndYear"], "") self.assertEqual(record[2]["Publisher"], "Springer Verlag") self.assertEqual(record[2]["Language"], "eng") self.assertEqual(record[2]["Country"], "Germany") self.assertEqual(len(record[2]["BroadHeading"]), 2) self.assertEqual(record[2]["BroadHeading"][0], "Gynecology") self.assertEqual(record[2]["BroadHeading"][1], "Obstetrics") self.assertEqual(record[2]["ContinuationNotes"], "Continues: Archives of gynecology. ") self.assertEqual(record[3]["Id"], "905") self.assertEqual(record[3]["Title"], "Asia-Oceania journal of obstetrics and gynaecology / AOFOG") self.assertEqual(record[3]["MedAbbr"], "Asia Oceania J Obstet Gynaecol") self.assertEqual(record[3]["IsoAbbr"], "") self.assertEqual(record[3]["NlmId"], "8102781") self.assertEqual(record[3]["pISSN"], "0389-2328") self.assertEqual(record[3]["eISSN"], "") self.assertEqual(record[3]["PublicationStartYear"], "1980") self.assertEqual(record[3]["PublicationEndYear"], "1994") self.assertEqual(record[3]["Publisher"], "University Of Tokyo Press") self.assertEqual(record[3]["Language"], "eng") self.assertEqual(record[3]["Country"], "Japan") self.assertEqual(len(record[3]["BroadHeading"]), 2) self.assertEqual(record[3]["BroadHeading"][0], "Gynecology") self.assertEqual(record[3]["BroadHeading"][1], "Obstetrics") self.assertEqual(record[3]["ContinuationNotes"], "Continues: Journal of the Asian Federation of Obstetrics and Gynaecology. Continued by: Journal of obstetrics and gynaecology (Tokyo, Japan). ") def test_protein(self): '''Test parsing XML returned by ESummary from the Protein database ''' # In Protein display records for GIs 28800982 and 28628843 in xml retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="protein", id="28800982,28628843", retmode="xml") input = open('Entrez/esummary3.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "28800982") self.assertEqual(record[0]["Caption"], "AAO47091") self.assertEqual(record[0]["Title"], "hemochromatosis [Homo sapiens]") self.assertEqual(record[0]["Extra"], "gi|28800982|gb|AAO47091.1|[28800982]") self.assertEqual(record[0]["Gi"], 28800982) self.assertEqual(record[0]["CreateDate"], "2003/03/03") self.assertEqual(record[0]["UpdateDate"], "2003/03/03") self.assertEqual(record[0]["Flags"], 0) self.assertEqual(record[0]["TaxId"], 9606) self.assertEqual(record[0]["Length"], 268) self.assertEqual(record[0]["Status"], "live") self.assertEqual(record[0]["ReplacedBy"], "") self.assertEqual(record[0]["Comment"], " ") self.assertEqual(record[1]["Id"], "28628843") self.assertEqual(record[1]["Caption"], "AAO49381") self.assertEqual(record[1]["Title"], "erythroid associated factor [Homo sapiens]") self.assertEqual(record[1]["Extra"], "gi|28628843|gb|AAO49381.1|AF485325_1[28628843]") self.assertEqual(record[1]["Gi"], 28628843) self.assertEqual(record[1]["CreateDate"], "2003/03/02") self.assertEqual(record[1]["UpdateDate"], "2003/03/02") self.assertEqual(record[1]["Flags"], 0) self.assertEqual(record[1]["TaxId"], 9606) self.assertEqual(record[1]["Length"], 102) self.assertEqual(record[1]["Status"], "live") self.assertEqual(record[1]["ReplacedBy"], "") self.assertEqual(record[1]["Comment"], " ") def test_nucleotide(self): '''Test parsing XML returned by ESummary from the Nucleotide database ''' # In Nucleotide display records for GIs 28864546 and 28800981 # in xml retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="nucleotide", id="28864546,28800981", # retmode="xml") input = open('Entrez/esummary4.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "28864546") self.assertEqual(record[0]["Caption"], "AY207443") self.assertEqual(record[0]["Title"], "Homo sapiens alpha hemoglobin (HBZP) pseudogene 3' UTR/AluJo repeat breakpoint junction") self.assertEqual(record[0]["Extra"], "gi|28864546|gb|AY207443.1|[28864546]") self.assertEqual(record[0]["Gi"], 28864546) self.assertEqual(record[0]["CreateDate"], "2003/03/05") self.assertEqual(record[0]["UpdateDate"], "2003/03/05") self.assertEqual(record[0]["Flags"], 0) self.assertEqual(record[0]["TaxId"], 9606) self.assertEqual(record[0]["Length"], 491) self.assertEqual(record[0]["Status"], "live") self.assertEqual(record[0]["ReplacedBy"], "") self.assertEqual(record[0]["Comment"], " ") self.assertEqual(record[1]["Id"], "28800981") self.assertEqual(record[1]["Caption"], "AY205604") self.assertEqual(record[1]["Title"], "Homo sapiens hemochromatosis (HFE) mRNA, partial cds") self.assertEqual(record[1]["Extra"], "gi|28800981|gb|AY205604.1|[28800981]") self.assertEqual(record[1]["Gi"], 28800981) self.assertEqual(record[1]["CreateDate"], "2003/03/03") self.assertEqual(record[1]["UpdateDate"], "2003/03/03") self.assertEqual(record[1]["Flags"], 0) self.assertEqual(record[1]["TaxId"], 9606) self.assertEqual(record[1]["Length"], 860) self.assertEqual(record[1]["Status"], "live") self.assertEqual(record[1]["ReplacedBy"], "") self.assertEqual(record[1]["Comment"], " ") def test_structure(self): '''Test parsing XML returned by ESummary from the Structure database ''' # In Nucleotide display records for GIs 28864546 and 28800981 # in xml retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="structure", id=["19923","12120"], # retmode="xml") input = open('Entrez/esummary5.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "19923") self.assertEqual(record[0]["PdbAcc"], "1L5J") self.assertEqual(record[0]["PdbDescr"], "Crystal Structure Of E. Coli Aconitase B") self.assertEqual(record[0]["EC"], "4.2.1.3") self.assertEqual(record[0]["Resolution"], "2.4") self.assertEqual(record[0]["ExpMethod"], "X-Ray Diffraction") self.assertEqual(record[0]["PdbClass"], "Lyase") self.assertEqual(record[0]["PdbReleaseDate"], "2007/8/27") self.assertEqual(record[0]["PdbDepositDate"], "2002/3/7") self.assertEqual(record[0]["DepositDate"], "2007/10/25") self.assertEqual(record[0]["ModifyDate"], "2007/10/25") self.assertEqual(record[0]["LigCode"], "F3S|TRA") self.assertEqual(record[0]["LigCount"], "2") self.assertEqual(record[0]["ModProteinResCount"], "0") self.assertEqual(record[0]["ModDNAResCount"], "0") self.assertEqual(record[0]["ModRNAResCount"], "0") self.assertEqual(record[0]["ProteinChainCount"], "2") self.assertEqual(record[0]["DNAChainCount"], "0") self.assertEqual(record[0]["RNAChainCount"], "0") self.assertEqual(record[1]["Id"], "12120") self.assertEqual(record[1]["PdbAcc"], "1B0K") self.assertEqual(record[1]["PdbDescr"], "S642a:fluorocitrate Complex Of Aconitase") self.assertEqual(record[1]["EC"], "4.2.1.3") self.assertEqual(record[1]["Resolution"], "2.5") self.assertEqual(record[1]["ExpMethod"], "X-Ray Diffraction") self.assertEqual(record[1]["PdbClass"], "Lyase") self.assertEqual(record[1]["PdbReleaseDate"], "2007/8/27") self.assertEqual(record[1]["PdbDepositDate"], "1998/11/11") self.assertEqual(record[1]["DepositDate"], "2007/10/07") self.assertEqual(record[1]["ModifyDate"], "2007/10/07") self.assertEqual(record[1]["LigCode"], "FLC|O|SF4") self.assertEqual(record[1]["LigCount"], "3") self.assertEqual(record[1]["ModProteinResCount"], "0") self.assertEqual(record[1]["ModDNAResCount"], "0") self.assertEqual(record[1]["ModRNAResCount"], "0") self.assertEqual(record[1]["ProteinChainCount"], "1") self.assertEqual(record[1]["DNAChainCount"], "0") self.assertEqual(record[1]["RNAChainCount"], "0") def test_taxonomy(self): '''Test parsing XML returned by ESummary from the Taxonomy database ''' # In Taxonomy display records for TAXIDs 9913 and 30521 in # xml retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="taxonomy", id=["9913","30521"], # retmode="xml") input = open('Entrez/esummary6.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "9913") self.assertEqual(record[0]["Rank"], "species") self.assertEqual(record[0]["Division"], "even-toed ungulates") self.assertEqual(record[0]["ScientificName"], "Bos taurus") self.assertEqual(record[0]["CommonName"], "cattle") self.assertEqual(record[0]["TaxId"], 9913) self.assertEqual(record[0]["NucNumber"], 2264214) self.assertEqual(record[0]["ProtNumber"], 55850) self.assertEqual(record[0]["StructNumber"], 1517) self.assertEqual(record[0]["GenNumber"], 31) self.assertEqual(record[0]["GeneNumber"], 29651) self.assertEqual(record[0]["Genus"], "") self.assertEqual(record[0]["Species"], "") self.assertEqual(record[0]["Subsp"], "") self.assertEqual(record[1]["Id"], "30521") self.assertEqual(record[1]["Rank"], "species") self.assertEqual(record[1]["Division"], "even-toed ungulates") self.assertEqual(record[1]["ScientificName"], "Bos grunniens") self.assertEqual(record[1]["CommonName"], "domestic yak") self.assertEqual(record[1]["TaxId"], 30521) self.assertEqual(record[1]["NucNumber"], 560) self.assertEqual(record[1]["ProtNumber"], 254) self.assertEqual(record[1]["StructNumber"], 0) self.assertEqual(record[1]["GenNumber"], 1) self.assertEqual(record[1]["GeneNumber"], 13) self.assertEqual(record[1]["Genus"], "") self.assertEqual(record[1]["Species"], "") self.assertEqual(record[1]["Subsp"], "") def test_unists(self): '''Test parsing XML returned by ESummary from the UniSTS database ''' # In UniSTS display records for IDs 254085 and 254086 in xml # retrieval mode # To create the XML file, use # >>> Bio.Entrez.esummary(db="unists", id=["254085","254086"], # retmode="xml") input = open('Entrez/esummary7.xml') record = Entrez.read(input) self.assertEqual(record[0]["Id"], "254085") self.assertEqual(record[0]["Marker_Name"], "SE234324") self.assertEqual(len(record[0]["Map_Gene_Summary_List"]), 1) self.assertEqual(record[0]["Map_Gene_Summary_List"][0]["Org"], "Sus scrofa") self.assertEqual(record[0]["Map_Gene_Summary_List"][0]["Chr"], " chromosome 7") self.assertEqual(record[0]["Map_Gene_Summary_List"][0]["Locus"], "") self.assertEqual(record[0]["EPCR_Summary"], "Found by e-PCR in sequences from Sus scrofa.") self.assertEqual(record[0]["LocusId"], "") self.assertEqual(record[1]["Id"], "254086") self.assertEqual(record[1]["Marker_Name"], "SE259162") self.assertEqual(len(record[1]["Map_Gene_Summary_List"]), 1) self.assertEqual(record[1]["Map_Gene_Summary_List"][0]["Org"], "Sus scrofa") self.assertEqual(record[1]["Map_Gene_Summary_List"][0]["Chr"], " chromosome 12") self.assertEqual(record[1]["Map_Gene_Summary_List"][0]["Locus"], "") self.assertEqual(record[1]["EPCR_Summary"], "Found by e-PCR in sequences from Sus scrofa.") self.assertEqual(record[1]["LocusId"], "") def test_wrong(self): '''Test parsing XML returned by ESummary with incorrect arguments ''' # To create the XML file, use # >>> Bio.Entrez.esummary() input = open('Entrez/esummary8.xml') self.assertRaises(RuntimeError, Entrez.read, input) class ELinkTest(unittest.TestCase): '''Tests for parsing XML output returned by ELink ''' def test_pubmed1(self): '''Test parsing pubmed links returned by ELink (first test) ''' # Retrieve IDs from PubMed for PMID 9298984 to the PubMed database # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="9298984", cmd="neighbor") input = open('Entrez/elink1.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(record[0]["IdList"], ["9298984"]) self.assertEqual(record[0]["LinkSetDb"][0]["DbTo"], "pubmed") self.assertEqual(record[0]["LinkSetDb"][0]["LinkName"], "pubmed_pubmed") self.assertEqual(len(record[0]["LinkSetDb"][0]["Link"]), 144) self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Id"], "9298984") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Score"], "2147483647") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Id"], "8794856") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Score"], "65259341") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Id"], "9700164") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Score"], "60347327") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Id"], "7914521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Score"], "54343405") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Id"], "1339459") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Score"], "53014422") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Id"], "9914369") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Score"], "52741538") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Id"], "11590237") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Score"], "52493903") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Id"], "12686595") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Score"], "48734007") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Id"], "9074495") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Score"], "48220447") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Id"], "11146659") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Score"], "46604626") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Id"], "10893249") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Score"], "46254167") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Id"], "8978614") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Score"], "46166362") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Id"], "15371539") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Score"], "45060488") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Id"], "10806105") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Score"], "44825774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Id"], "10402457") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Score"], "44338522") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Id"], "10545493") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Score"], "43860609") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Id"], "10523511") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Score"], "43268800") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Id"], "12515822") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Score"], "43215343") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Id"], "15915585") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Score"], "43029760") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Id"], "11483958") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Score"], "42348877") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Id"], "11685532") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Score"], "42262104") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Id"], "9869638") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Score"], "41143593") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Id"], "12080088") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Score"], "40849490") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Id"], "12034769") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Score"], "40841328") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Id"], "9852156") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Score"], "40793501") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Id"], "9735366") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Score"], "40661605") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Id"], "10749938") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Score"], "40486739") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Id"], "9490715") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Score"], "40311339") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Id"], "9425896") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Score"], "40056298") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Id"], "11266459") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Score"], "39883140") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Id"], "14522947") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Score"], "39683976") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Id"], "15616189") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Score"], "39518630") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Id"], "16732327") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Score"], "39425668") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Id"], "11179694") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Score"], "39183565") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Id"], "10898791") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Score"], "39159761") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Id"], "11146661") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Score"], "39116609") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Id"], "11914278") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Score"], "39028004") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Id"], "10985388") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Score"], "39002572") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Id"], "16839185") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Score"], "38916726") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Id"], "7585942") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Score"], "38747288") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Id"], "2022189") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Score"], "38717145") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Id"], "7690762") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Score"], "38647275") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Id"], "7904902") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Score"], "38557343") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Id"], "9378750") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Score"], "38484849") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Id"], "12388768") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Score"], "38454422") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Id"], "11352945") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Score"], "38449836") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Id"], "11267866") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Score"], "38419058") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Id"], "17222555") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Score"], "38368546") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Id"], "11252055") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Score"], "38257516") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Id"], "16585270") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Score"], "37800856") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Id"], "9606208") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Score"], "37669054") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Id"], "17182852") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Score"], "37621285") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Id"], "9933569") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Score"], "37398470") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Id"], "15268859") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Score"], "37340582") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Id"], "12235289") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Score"], "37247450") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Id"], "16741559") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Score"], "37198716") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Id"], "11266451") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Score"], "37142542") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Id"], "15075237") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Score"], "36897578") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Id"], "15485811") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Score"], "36804297") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Id"], "14699129") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Score"], "36782062") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Id"], "16510521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Score"], "36724370") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Id"], "15824131") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Score"], "36695341") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Id"], "15371340") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Score"], "36685694") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Id"], "9878245") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Score"], "36684230") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Id"], "10398680") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Score"], "36573411") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Id"], "16516834") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Score"], "36525654") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Id"], "11715021") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Score"], "36518129") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Id"], "14622138") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Score"], "36496009") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Id"], "11092768") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Score"], "36457186") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Id"], "12514103") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Score"], "36385909") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Id"], "17525528") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Score"], "36316439") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Id"], "11402064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Score"], "36172957") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Id"], "9258677") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Score"], "35989143") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Id"], "14499625") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Score"], "35978627") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Id"], "10428958") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Score"], "35924800") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Id"], "14972679") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Score"], "35915578") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Id"], "9396743") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Score"], "35883749") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Id"], "16219694") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Score"], "35870689") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Id"], "11369198") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Score"], "35838048") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Id"], "17333235") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Score"], "35815282") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Id"], "11102811") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Score"], "35783566") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Id"], "10207147") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Score"], "35594009") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Id"], "10477755") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Score"], "35589601") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Id"], "10747094") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Score"], "35548072") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Id"], "15215209") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Score"], "35526869") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Id"], "11157774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Score"], "35510607") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Id"], "10669599") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Score"], "35462246") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Id"], "17448445") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Score"], "35398470") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Id"], "17878237") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Score"], "35231311") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Id"], "10411903") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Score"], "35202708") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Id"], "12773390") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Score"], "35171743") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Id"], "12498686") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Score"], "35131906") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Id"], "9009204") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Score"], "34993776") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Id"], "17576797") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Score"], "34988639") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Id"], "10225945") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Score"], "34950419") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Id"], "11161560") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Score"], "34912466") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Id"], "11967147") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Score"], "34900540") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Id"], "14711415") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Score"], "34883714") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Id"], "2211824") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Score"], "34843507") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Id"], "15737064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Score"], "34828187") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Id"], "7720068") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Score"], "34811182") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Id"], "9472001") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Score"], "34799321") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Id"], "11792803") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Score"], "34697393") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Id"], "11386760") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Score"], "34684610") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Id"], "15094189") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Score"], "34684021") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Id"], "9763420") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Score"], "34666950") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Id"], "10629219") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Score"], "34422925") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Id"], "11238410") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Score"], "34318521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Id"], "17199038") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Score"], "34255594") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Id"], "12944469") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Score"], "34249507") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Id"], "15616192") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Score"], "34110517") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Id"], "11146660") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Score"], "34063257") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Id"], "11402066") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Score"], "34012520") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Id"], "6791901") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Score"], "33311119") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Id"], "7172865") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Score"], "32934223") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Id"], "8270646") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Score"], "32898701") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Id"], "1916263") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Score"], "32707765") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Id"], "7588080") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Score"], "32503526") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Id"], "7391142") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Score"], "31632645") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Id"], "6793236") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Score"], "31522175") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Id"], "2512302") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Score"], "30339372") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Id"], "7720069") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Score"], "30024525") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Id"], "8257792") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Score"], "29834355") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Id"], "3417141") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Score"], "27920818") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Id"], "3315496") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Score"], "27422009") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Id"], "1993311") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Score"], "26763828") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Id"], "6185450") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Score"], "26100420") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Id"], "1819515") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Score"], "26036804") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Id"], "7250964") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Score"], "25738652") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Id"], "8489280") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Score"], "25587858") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Id"], "7096444") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Score"], "24642544") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Id"], "348629") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Score"], "24432498") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Id"], "2275018") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Score"], "23077593") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Id"], "1747872") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Score"], "22933494") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Id"], "3547036") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Score"], "22925639") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Id"], "18291669") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Score"], "22762310") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Id"], "1576878") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Score"], "20846041") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Id"], "6230555") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Score"], "19354488") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Id"], "7627547") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Score"], "18940607") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Id"], "17678444") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Score"], "18834135") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Id"], "3366468") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Score"], "14831756") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Id"], "1959920") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Score"], "14156414") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Id"], "13242628") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Score"], "12584732") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Id"], "17248312") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Score"], "7610436") def test_nucleotide(self): '''Test parsing Nucleotide to Protein links returned by ELink ''' # Retrieve IDs from Nucleotide for GI 48819, 7140345 to Protein # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="nucleotide", db="protein", # id="48819,7140345") input = open('Entrez/elink2.xml') record = Entrez.read(input) self.assertEqual(record[0]["DbFrom"], "nucleotide") self.assertEqual(record[0]["IdList"], ["48819", "7140345"]) def test_pubmed2(self): '''Test parsing pubmed links returned by ELink (second test) ''' # Retrieve PubMed related articles for PMIDs 11812492 11774222 # with a publication date from 1995 to the present # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="11812492,11774222", # db="pubmed", mindate="1995", datetype="pdat") input = open('Entrez/elink3.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(len(record[0]['IdList']), 2) self.assertEqual(record[0]['IdList'][0], "11812492") self.assertEqual(record[0]['IdList'][1], "11774222") self.assertEqual(record[0]["LinkSetDb"][0]["DbTo"], "pubmed") self.assertEqual(record[0]["LinkSetDb"][0]["LinkName"], "pubmed_pubmed") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Id"], "11812492") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Score"], "2147483647") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Id"], "11774222") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Score"], "2147483647") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Id"], "11668631") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Score"], "86345306") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Id"], "15111095") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Score"], "81604359") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Id"], "10731564") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Score"], "65665112") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Id"], "15780005") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Score"], "62251079") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Id"], "17885136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Score"], "50322134") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Id"], "17470297") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Score"], "49148434") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Id"], "16005284") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Score"], "49035508") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Id"], "10856373") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Score"], "48363137") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Id"], "15383292") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Score"], "48347159") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Id"], "17040125") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Score"], "48301243") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Id"], "10770808") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Score"], "47696325") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Id"], "11125122") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Score"], "45889695") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Id"], "15287587") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Score"], "45599733") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Id"], "15839745") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Score"], "44650620") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Id"], "10612825") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Score"], "44445812") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Id"], "15024419") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Score"], "44075047") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Id"], "12743802") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Score"], "43873158") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Id"], "15238684") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Score"], "43856864") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Id"], "12386340") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Score"], "43770229") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Id"], "16269725") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Score"], "43712594") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Id"], "10592273") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Score"], "43640108") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Id"], "15383308") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Score"], "42835474") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Id"], "15676075") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Score"], "42272663") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Id"], "11774221") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Score"], "42058380") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Id"], "10592272") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Score"], "41719917") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Id"], "15997407") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Score"], "41535461") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Id"], "15774024") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Score"], "41351079") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Id"], "11233160") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Score"], "41268965") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Id"], "14702162") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Score"], "41147661") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Id"], "16616613") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Score"], "41073100") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Id"], "17202370") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Score"], "40819600") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Id"], "15478601") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Score"], "40578911") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Id"], "15322925") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Score"], "40548101") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Id"], "11472559") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Score"], "40508356") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Id"], "11925998") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Score"], "39844751") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Id"], "12372145") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Score"], "39809277") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Id"], "17562224") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Score"], "38850094") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Id"], "15037105") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Score"], "38758229") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Id"], "14998511") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Score"], "38608049") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Id"], "10092480") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Score"], "38410463") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Id"], "7729881") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Score"], "38329800") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Id"], "12933853") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Score"], "37881850") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Id"], "16818783") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Score"], "37835096") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Id"], "16406333") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Score"], "37775136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Id"], "11472553") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Score"], "37750745") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Id"], "11403387") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Score"], "37707525") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Id"], "17306254") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Score"], "37685833") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Id"], "11516587") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Score"], "37620966") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Id"], "9274032") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Score"], "37528832") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Id"], "12856318") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Score"], "37484650") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Id"], "14695526") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Score"], "37429895") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Id"], "12481045") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Score"], "37051674") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Id"], "11752345") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Score"], "36875760") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Id"], "12467974") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Score"], "36787103") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Id"], "11214099") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Score"], "36710749") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Id"], "14638788") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Score"], "36667774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Id"], "16278157") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Score"], "36598908") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Id"], "11752242") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Score"], "36555638") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Id"], "14681474") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Score"], "36317853") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Id"], "15944077") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Score"], "36264027") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Id"], "12625936") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Score"], "36088314") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Id"], "16672453") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Score"], "35985060") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Id"], "14695451") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Score"], "35971708") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Id"], "12402526") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Score"], "35942170") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Id"], "10592200") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Score"], "35932875") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Id"], "17584494") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Score"], "35869907") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Id"], "17761848") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Score"], "35868206") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Id"], "16697384") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Score"], "35792791") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Id"], "8784774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Score"], "35787497") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Id"], "18000556") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Score"], "35701408") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Id"], "15828434") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Score"], "35604052") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Id"], "10511685") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Score"], "35598319") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Id"], "15608284") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Score"], "35439627") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Id"], "11125071") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Score"], "35414962") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Id"], "11791238") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Score"], "35411948") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Id"], "15710433") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Score"], "35197152") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Id"], "16164550") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Score"], "35172458") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Id"], "17697334") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Score"], "35121478") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Id"], "12537121") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Score"], "35054632") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Id"], "12860672") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Score"], "35046651") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Id"], "15630619") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Score"], "35034076") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Id"], "15125639") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Score"], "35007338") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Id"], "11443570") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Score"], "34935553") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Id"], "12208043") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Score"], "34923107") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Id"], "11731507") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Score"], "34875290") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Id"], "11988510") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Score"], "34773036") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Id"], "11125038") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Score"], "34754724") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Id"], "16381944") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Score"], "34747225") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Id"], "17135206") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Score"], "34735015") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Id"], "17099226") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Score"], "34698054") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Id"], "15608233") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Score"], "34588400") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Id"], "16672057") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Score"], "34583177") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Id"], "15687015") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Score"], "34357840") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Id"], "10782070") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Score"], "34326746") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Id"], "14970722") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Score"], "34217911") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Id"], "18027007") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Score"], "34185436") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Id"], "12387845") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Score"], "34083368") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Id"], "16237012") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Score"], "34070163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Id"], "16351742") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Score"], "33775198") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Id"], "12203989") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Score"], "33759170") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Id"], "15474306") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Score"], "33737675") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Id"], "15270538") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Score"], "33697306") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Id"], "17518759") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Score"], "33695140") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Id"], "16085497") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Score"], "33652537") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Id"], "16423288") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Score"], "33564554") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Id"], "16251775") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Score"], "33547325") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Id"], "12632152") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Score"], "33497998") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Id"], "11269648") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Score"], "33493800") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Id"], "16103603") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Score"], "33378796") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Id"], "12816546") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Score"], "33316167") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Id"], "10221636") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Score"], "33310814") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Id"], "16381973") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Score"], "33236048") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Id"], "15977173") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Score"], "33222497") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Id"], "16351753") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Score"], "33205084") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Id"], "15317790") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Score"], "33195439") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Id"], "17135198") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Score"], "33189951") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Id"], "12701381") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Score"], "33172200") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Id"], "12203988") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Score"], "33172077") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Id"], "11456466") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Score"], "33124900") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Id"], "16936055") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Score"], "33081742") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Id"], "17183477") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Score"], "33005068") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Id"], "9455480") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Score"], "32997067") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Id"], "12490454") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Score"], "32995041") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Id"], "12435493") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Score"], "32990122") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Id"], "11038309") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Score"], "32977663") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Id"], "10366827") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Score"], "32903347") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Id"], "10466136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Score"], "32869387") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Id"], "16381840") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Score"], "32816923") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Id"], "11825250") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Score"], "32776183") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Id"], "12234534") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Score"], "32708547") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Id"], "14624247") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Score"], "32708542") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Id"], "12886019") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Score"], "32653276") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Id"], "12041732") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Score"], "32607185") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Id"], "15336912") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Score"], "32596453") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Id"], "12652910") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Score"], "32567397") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Id"], "14681353") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Score"], "32549157") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Id"], "12586873") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Score"], "32504063") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Id"], "11481430") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Score"], "32462602") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Id"], "15254259") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Score"], "32441737") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Id"], "16873516") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Score"], "32433603") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Id"], "17170002") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Score"], "32425626") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Id"], "12519941") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Score"], "32367760") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][144]["Id"], "11197770") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][144]["Score"], "32362623") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][145]["Id"], "11240843") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][145]["Score"], "32347064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][146]["Id"], "11328780") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][146]["Score"], "32333807") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][147]["Id"], "11875041") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][147]["Score"], "32312036") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][148]["Id"], "11752243") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][148]["Score"], "32268199") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][149]["Id"], "16907992") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][149]["Score"], "32247019") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][150]["Id"], "15046636") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][150]["Score"], "32214942") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][151]["Id"], "10592169") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][151]["Score"], "32137798") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][152]["Id"], "17919582") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][152]["Score"], "32137767") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][153]["Id"], "18025705") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][153]["Score"], "32131322") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][154]["Id"], "11029673") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][154]["Score"], "32126363") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][155]["Id"], "9047337") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][155]["Score"], "32090163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][156]["Id"], "11080372") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][156]["Score"], "31924475") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][157]["Id"], "18045790") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][157]["Score"], "31834367") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][158]["Id"], "10215019") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][158]["Score"], "31823989") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][159]["Id"], "14706096") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][159]["Score"], "31781977") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][160]["Id"], "17537593") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][160]["Score"], "31771566") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][161]["Id"], "12819149") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][161]["Score"], "31683943") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][162]["Id"], "17880721") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][162]["Score"], "31630816") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][163]["Id"], "14681478") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][163]["Score"], "31620457") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][164]["Id"], "11985867") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][164]["Score"], "31544318") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][165]["Id"], "15608248") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][165]["Score"], "31542256") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][166]["Id"], "17401150") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][166]["Score"], "31497289") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][167]["Id"], "10359795") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][167]["Score"], "31460779") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][168]["Id"], "15608286") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][168]["Score"], "31435112") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][169]["Id"], "15774022") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][169]["Score"], "31425851") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][170]["Id"], "9921679") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][170]["Score"], "31396086") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][171]["Id"], "17038195") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][171]["Score"], "31380822") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][172]["Id"], "15491544") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][172]["Score"], "31294370") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][173]["Id"], "10469257") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][173]["Score"], "31291548") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][174]["Id"], "15487498") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][174]["Score"], "31268351") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][175]["Id"], "15383303") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][175]["Score"], "31264596") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][176]["Id"], "15643605") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][176]["Score"], "31259953") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][177]["Id"], "16418238") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][177]["Score"], "31259003") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][178]["Id"], "15500248") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][178]["Score"], "31252080") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][179]["Id"], "15479945") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][179]["Score"], "31249988") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][180]["Id"], "16962738") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][180]["Score"], "31249405") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][181]["Id"], "15094394") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][181]["Score"], "31200337") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][182]["Id"], "11758285") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][182]["Score"], "31180435") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][183]["Id"], "15723693") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][183]["Score"], "31083464") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][184]["Id"], "16710453") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][184]["Score"], "31083136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][185]["Id"], "15311460") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][185]["Score"], "31068402") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][186]["Id"], "16549670") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][186]["Score"], "30995148") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][187]["Id"], "18180957") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][187]["Score"], "30973190") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][188]["Id"], "14681351") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][188]["Score"], "30968930") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][189]["Id"], "10902212") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][189]["Score"], "30960861") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][190]["Id"], "15357877") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][190]["Score"], "30947680") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][191]["Id"], "12356773") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][191]["Score"], "30910321") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][192]["Id"], "17537669") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][192]["Score"], "30893205") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][193]["Id"], "16551372") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][193]["Score"], "30889080") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][194]["Id"], "15231810") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][194]["Score"], "30863616") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][195]["Id"], "12819150") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][195]["Score"], "30847027") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][196]["Id"], "15608257") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][196]["Score"], "30840234") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][197]["Id"], "17384426") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][197]["Score"], "30827754") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][198]["Id"], "15811532") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][198]["Score"], "30823185") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][199]["Id"], "10612821") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][199]["Score"], "30822187") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][200]["Id"], "17062145") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][200]["Score"], "30813605") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][201]["Id"], "11355885") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][201]["Score"], "30810648") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][202]["Id"], "15746365") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][202]["Score"], "30784209") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][203]["Id"], "16282300") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][203]["Score"], "30782807") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][204]["Id"], "15546336") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][204]["Score"], "30773578") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][205]["Id"], "11741630") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][205]["Score"], "30764995") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][206]["Id"], "15980532") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][206]["Score"], "30735790") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][207]["Id"], "12519977") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][207]["Score"], "30707395") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][208]["Id"], "12436197") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][208]["Score"], "30705501") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][209]["Id"], "11125059") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][209]["Score"], "30614888") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][210]["Id"], "11163442") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][210]["Score"], "30550965") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][211]["Id"], "12519964") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][211]["Score"], "30518025") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][212]["Id"], "12083398") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][212]["Score"], "30466595") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][213]["Id"], "11908756") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][213]["Score"], "30462080") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][214]["Id"], "15608226") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][214]["Score"], "30335152") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][215]["Id"], "16845091") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][215]["Score"], "30277120") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][216]["Id"], "17338820") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][216]["Score"], "30208452") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][217]["Id"], "10407783") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][217]["Score"], "30171504") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][218]["Id"], "17130148") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][218]["Score"], "30160136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][219]["Id"], "14681471") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][219]["Score"], "30155757") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][220]["Id"], "17445272") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][220]["Score"], "30015229") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][221]["Id"], "11279516") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][221]["Score"], "29947199") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][222]["Id"], "17221864") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][222]["Score"], "29893674") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][223]["Id"], "15827081") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][223]["Score"], "29891924") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][224]["Id"], "11222582") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][224]["Score"], "29878915") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][225]["Id"], "11384164") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][225]["Score"], "29871698") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][226]["Id"], "17877839") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][226]["Score"], "29843765") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][227]["Id"], "17151077") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][227]["Score"], "29841695") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][228]["Id"], "16381974") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][228]["Score"], "29740312") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][229]["Id"], "10592263") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][229]["Score"], "29633946") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][230]["Id"], "15608212") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][230]["Score"], "29621479") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][231]["Id"], "9847217") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][231]["Score"], "29618439") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][232]["Id"], "17142236") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][232]["Score"], "29577611") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][233]["Id"], "17059604") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][233]["Score"], "29569767") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][234]["Id"], "16845079") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][234]["Score"], "29506663") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][235]["Id"], "14727153") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][235]["Score"], "29368276") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][236]["Id"], "18045498") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][236]["Score"], "29364312") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][237]["Id"], "17185755") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][237]["Score"], "29331905") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][238]["Id"], "18025704") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][238]["Score"], "29323161") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][239]["Id"], "15215374") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][239]["Score"], "29306559") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][240]["Id"], "17135185") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][240]["Score"], "29236297") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][241]["Id"], "10466135") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][241]["Score"], "29231855") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][242]["Id"], "17148475") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][242]["Score"], "29229044") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][243]["Id"], "15657101") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][243]["Score"], "29209567") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][244]["Id"], "14681490") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][244]["Score"], "29189708") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][245]["Id"], "15714328") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][245]["Score"], "29183488") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][246]["Id"], "14960477") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][246]["Score"], "29040531") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][247]["Id"], "11015564") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][247]["Score"], "29011368") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][248]["Id"], "18064491") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][248]["Score"], "28956740") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][249]["Id"], "12734009") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][249]["Score"], "28950064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][250]["Id"], "17094804") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][250]["Score"], "28906953") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][251]["Id"], "17908294") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][251]["Score"], "28897717") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][252]["Id"], "16176584") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][252]["Score"], "28874470") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][253]["Id"], "14715089") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][253]["Score"], "28763886") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][254]["Id"], "14681408") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][254]["Score"], "28697827") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][255]["Id"], "14594716") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][255]["Score"], "28686075") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][256]["Id"], "16528802") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][256]["Score"], "28644452") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][257]["Id"], "16010002") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][257]["Score"], "28637570") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][258]["Id"], "17430565") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][258]["Score"], "28635513") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][259]["Id"], "16452787") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][259]["Score"], "28631832") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][260]["Id"], "11197127") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][260]["Score"], "28619225") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][261]["Id"], "8682188") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][261]["Score"], "28592521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][262]["Id"], "12519940") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][262]["Score"], "28573991") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][263]["Id"], "17121775") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][263]["Score"], "28448726") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][264]["Id"], "16371163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][264]["Score"], "28373394") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][265]["Id"], "15300845") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][265]["Score"], "28338477") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][266]["Id"], "15248903") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][266]["Score"], "28323328") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][267]["Id"], "11319266") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][267]["Score"], "28293166") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][268]["Id"], "16336665") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][268]["Score"], "28231249") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][269]["Id"], "14681350") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][269]["Score"], "28227327") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][270]["Id"], "16216831") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][270]["Score"], "28224610") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][271]["Id"], "15494741") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][271]["Score"], "28190925") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][272]["Id"], "17088289") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][272]["Score"], "28168901") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][273]["Id"], "17099235") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][273]["Score"], "28159766") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][274]["Id"], "15215372") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][274]["Score"], "28129693") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][275]["Id"], "9169870") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][275]["Score"], "28117392") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][276]["Id"], "10077537") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][276]["Score"], "27911205") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][277]["Id"], "18172929") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][277]["Score"], "27885172") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][278]["Id"], "9571806") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][278]["Score"], "27841468") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][279]["Id"], "11752280") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][279]["Score"], "27795833") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][280]["Id"], "11414208") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][280]["Score"], "27725996") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][281]["Id"], "9298642") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][281]["Score"], "27716027") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][282]["Id"], "18073380") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][282]["Score"], "27437383") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][283]["Id"], "14527308") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][283]["Score"], "27332641") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][284]["Id"], "9847220") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][284]["Score"], "27083894") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][285]["Id"], "10413661") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][285]["Score"], "27073030") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][286]["Id"], "10407677") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][286]["Score"], "26907635") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][287]["Id"], "11244060") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][287]["Score"], "26897688") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][288]["Id"], "10227170") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][288]["Score"], "26766431") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][289]["Id"], "8719164") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][289]["Score"], "26515360") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][290]["Id"], "18359019") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][290]["Score"], "26225983") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][291]["Id"], "10511680") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][291]["Score"], "26031196") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][292]["Id"], "9884329") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][292]["Score"], "25992564") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][293]["Id"], "17827295") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][293]["Score"], "25989152") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][294]["Id"], "10899154") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][294]["Score"], "25843128") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][295]["Id"], "11668619") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][295]["Score"], "25822950") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][296]["Id"], "18386064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][296]["Score"], "25702942") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][297]["Id"], "11092731") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][297]["Score"], "25618899") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][298]["Id"], "9520376") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][298]["Score"], "25549761") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][299]["Id"], "11756688") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][299]["Score"], "25440634") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][300]["Id"], "10737802") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][300]["Score"], "25362744") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][301]["Id"], "9879937") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][301]["Score"], "25277089") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][302]["Id"], "17822801") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][302]["Score"], "25252984") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][303]["Id"], "10965872") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][303]["Score"], "25208185") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][304]["Id"], "10511682") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][304]["Score"], "25183443") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][305]["Id"], "10851186") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][305]["Score"], "25092764") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][306]["Id"], "9775388") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][306]["Score"], "25026910") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][307]["Id"], "10810023") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][307]["Score"], "24904718") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][308]["Id"], "18032438") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][308]["Score"], "24509777") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][309]["Id"], "18377816") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][309]["Score"], "24373788") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][310]["Id"], "11774190") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][310]["Score"], "24185658") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][311]["Id"], "10484179") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][311]["Score"], "24122767") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][312]["Id"], "9625791") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][312]["Score"], "24049917") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][313]["Id"], "11446511") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][313]["Score"], "24048253") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][314]["Id"], "10066467") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][314]["Score"], "23968405") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][315]["Id"], "11783003") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][315]["Score"], "23393870") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][316]["Id"], "10611059") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][316]["Score"], "23255298") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][317]["Id"], "10587943") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][317]["Score"], "23014503") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][318]["Id"], "10612820") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][318]["Score"], "22990878") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][319]["Id"], "9685316") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][319]["Score"], "22771348") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][320]["Id"], "11125121") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][320]["Score"], "22732820") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][321]["Id"], "10075567") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][321]["Score"], "22670427") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][322]["Id"], "11084929") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][322]["Score"], "22397665") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][323]["Id"], "11357826") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][323]["Score"], "22362882") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][324]["Id"], "17983575") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][324]["Score"], "22305320") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][325]["Id"], "11038308") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][325]["Score"], "22115670") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][326]["Id"], "18257289") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][326]["Score"], "22053176") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][327]["Id"], "10419978") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][327]["Score"], "22016184") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][328]["Id"], "9421619") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][328]["Score"], "21957407") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][329]["Id"], "10592198") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][329]["Score"], "21803908") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][330]["Id"], "11483982") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][330]["Score"], "20783817") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][331]["Id"], "11329386") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][331]["Score"], "20223493") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][332]["Id"], "10587942") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][332]["Score"], "20208799") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][333]["Id"], "10810024") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][333]["Score"], "19989188") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][334]["Id"], "11480780") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][334]["Score"], "19974101") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][335]["Id"], "11802378") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][335]["Score"], "19738532") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][336]["Id"], "10610803") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][336]["Score"], "19359100") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][337]["Id"], "10407668") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][337]["Score"], "19070525") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][338]["Id"], "18287701") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][338]["Score"], "19065945") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][339]["Id"], "10963611") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][339]["Score"], "18962273") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][340]["Id"], "10447503") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][340]["Score"], "17406980") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][341]["Id"], "9830540") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][341]["Score"], "17143709") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][342]["Id"], "11462837") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][342]["Score"], "16819799") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][343]["Id"], "10637631") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][343]["Score"], "16390796") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][344]["Id"], "11387032") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][344]["Score"], "15698695") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][345]["Id"], "18365535") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][345]["Score"], "15494816") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][346]["Id"], "15181901") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][346]["Score"], "14385628") def test_medline(self): '''Test parsing medline indexed articles returned by ELink ''' # Retrieve MEDLINE indexed only related articles for PMID 12242737 # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="12242737", db="pubmed", # term="medline[sb]") input = open('Entrez/elink4.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(record[0]["IdList"], ["12242737"]) self.assertEqual(record[0]["LinkSetDb"][0]["DbTo"], "pubmed") self.assertEqual(record[0]["LinkSetDb"][0]["LinkName"], "pubmed_pubmed") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Id"], "12242737") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][0]["Score"], "2147483647") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Id"], "11218011") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][1]["Score"], "50825961") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Id"], "11329656") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][2]["Score"], "49822043") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Id"], "9757294") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][3]["Score"], "42645380") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Id"], "9456947") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][4]["Score"], "39871666") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Id"], "17193860") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][5]["Score"], "39717388") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Id"], "11274884") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][6]["Score"], "39233276") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Id"], "12878072") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][7]["Score"], "37748327") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Id"], "11125632") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][8]["Score"], "36227857") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Id"], "12822521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][9]["Score"], "36170366") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Id"], "16999328") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][10]["Score"], "36107139") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Id"], "17875142") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][11]["Score"], "35736802") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Id"], "9510579") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][12]["Score"], "35206779") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Id"], "17354190") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][13]["Score"], "34792954") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Id"], "11702119") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][14]["Score"], "34618984") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Id"], "10024396") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][15]["Score"], "33877753") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Id"], "14650118") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][16]["Score"], "33746160") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Id"], "17243036") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][17]["Score"], "33198930") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Id"], "16580806") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][18]["Score"], "33117197") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Id"], "15278705") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][19]["Score"], "33002826") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Id"], "15236131") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][20]["Score"], "32808406") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Id"], "11368937") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][21]["Score"], "32277701") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Id"], "10688065") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][22]["Score"], "32052850") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Id"], "15635471") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][23]["Score"], "31938251") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Id"], "16357381") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][24]["Score"], "31780147") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Id"], "8153333") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][25]["Score"], "31542202") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Id"], "16284132") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][26]["Score"], "31290577") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Id"], "11329162") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][27]["Score"], "31163088") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Id"], "11973040") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][28]["Score"], "31156707") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Id"], "15143223") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][29]["Score"], "31025329") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Id"], "17040637") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][30]["Score"], "30990506") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Id"], "11016058") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][31]["Score"], "30966482") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Id"], "9317094") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][32]["Score"], "30935529") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Id"], "16133609") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][33]["Score"], "30580027") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Id"], "17325998") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][34]["Score"], "30130533") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Id"], "15505294") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][35]["Score"], "29430378") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Id"], "17268692") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][36]["Score"], "29166153") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Id"], "11329655") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][37]["Score"], "29112282") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Id"], "11775722") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][38]["Score"], "28940754") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Id"], "11907356") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][39]["Score"], "28860163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Id"], "10222515") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][40]["Score"], "28807143") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Id"], "17174054") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][41]["Score"], "28790302") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Id"], "9314960") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][42]["Score"], "28750160") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Id"], "14661661") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][43]["Score"], "28361423") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Id"], "17879696") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][44]["Score"], "28120568") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Id"], "4818442") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][45]["Score"], "28058957") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Id"], "15141648") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][46]["Score"], "28011681") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Id"], "8855688") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][47]["Score"], "27711822") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Id"], "17875143") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][48]["Score"], "27711025") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Id"], "1481295") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][49]["Score"], "27707751") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Id"], "8599783") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][50]["Score"], "27683273") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Id"], "10499696") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][51]["Score"], "27623848") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Id"], "12733684") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][52]["Score"], "27527242") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Id"], "18021675") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][53]["Score"], "27495074") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Id"], "12226761") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][54]["Score"], "27366064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Id"], "4808999") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][55]["Score"], "27304472") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Id"], "16988291") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][56]["Score"], "27295295") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Id"], "10575758") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][57]["Score"], "27243181") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Id"], "8903064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][58]["Score"], "27206664") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Id"], "10811354") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][59]["Score"], "27088219") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Id"], "16096604") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][60]["Score"], "26862979") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Id"], "15788584") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][61]["Score"], "26759584") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Id"], "17376366") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][62]["Score"], "26743241") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Id"], "16566645") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][63]["Score"], "26725076") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Id"], "17259035") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][64]["Score"], "26595433") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Id"], "9314959") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][65]["Score"], "26445900") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Id"], "11895298") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][66]["Score"], "26256774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Id"], "11740602") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][67]["Score"], "26158189") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Id"], "15022983") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][68]["Score"], "25889186") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Id"], "15300544") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][69]["Score"], "25837458") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Id"], "12719915") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][70]["Score"], "25831232") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Id"], "14661306") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][71]["Score"], "25788023") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Id"], "16362812") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][72]["Score"], "25565076") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Id"], "17320773") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][73]["Score"], "25504305") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Id"], "11762248") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][74]["Score"], "25504002") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Id"], "10665303") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][75]["Score"], "25384388") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Id"], "17453494") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][76]["Score"], "25226372") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Id"], "9575723") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][77]["Score"], "25174136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Id"], "12744498") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][78]["Score"], "24971179") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Id"], "12352163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][79]["Score"], "24915990") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Id"], "8290724") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][80]["Score"], "24909462") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Id"], "11973504") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][81]["Score"], "24878058") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Id"], "14661668") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][82]["Score"], "24779779") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Id"], "16552382") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][83]["Score"], "24760919") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Id"], "17709829") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][84]["Score"], "24743292") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Id"], "14528718") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][85]["Score"], "24686212") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Id"], "15008163") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][86]["Score"], "24612994") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Id"], "10051883") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][87]["Score"], "24492331") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Id"], "11027076") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][88]["Score"], "24410525") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Id"], "17543650") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][89]["Score"], "24371825") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Id"], "17658095") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][90]["Score"], "24331965") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Id"], "9193407") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][91]["Score"], "24240252") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Id"], "10578418") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][92]["Score"], "24091226") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Id"], "12592155") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][93]["Score"], "24001341") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Id"], "17157468") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][94]["Score"], "23984321") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Id"], "15094630") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][95]["Score"], "23912874") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Id"], "8794574") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][96]["Score"], "23900764") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Id"], "9125660") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][97]["Score"], "23884352") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Id"], "8819381") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][98]["Score"], "23839719") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Id"], "14661666") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][99]["Score"], "23748510") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Id"], "9658901") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][100]["Score"], "23667126") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Id"], "12744499") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][101]["Score"], "23647189") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Id"], "12164574") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][102]["Score"], "23623853") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Id"], "15136027") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][103]["Score"], "23572558") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Id"], "14872380") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][104]["Score"], "23460906") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Id"], "3905087") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][105]["Score"], "23305022") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Id"], "15642291") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][106]["Score"], "23234831") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Id"], "16928974") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][107]["Score"], "23223298") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Id"], "6072516") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][108]["Score"], "23042548") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Id"], "12949462") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][109]["Score"], "23001441") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Id"], "10761553") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][110]["Score"], "22995991") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Id"], "14661663") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][111]["Score"], "22986720") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Id"], "16338316") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][112]["Score"], "22933288") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Id"], "17464254") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][113]["Score"], "22912253") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Id"], "15529836") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][114]["Score"], "22892154") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Id"], "12361530") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][115]["Score"], "22871698") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Id"], "12876813") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][116]["Score"], "22822515") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Id"], "10749221") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][117]["Score"], "22794373") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Id"], "6482054") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][118]["Score"], "22791927") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Id"], "9016217") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][119]["Score"], "22738432") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Id"], "14702442") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][120]["Score"], "22722123") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Id"], "15279747") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][121]["Score"], "22698787") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Id"], "7892443") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][122]["Score"], "22642038") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Id"], "616459") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][123]["Score"], "22591277") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Id"], "8886718") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][124]["Score"], "22542938") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Id"], "17245521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][125]["Score"], "22538649") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Id"], "1535863") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][126]["Score"], "22468774") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Id"], "15537403") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][127]["Score"], "22458002") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Id"], "16040910") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][128]["Score"], "22452119") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Id"], "16929028") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][129]["Score"], "22433988") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Id"], "16697589") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][130]["Score"], "22366606") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Id"], "531835") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][131]["Score"], "22366454") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Id"], "2308313") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][132]["Score"], "22330898") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Id"], "12522920") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][133]["Score"], "22178764") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Id"], "10222521") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][134]["Score"], "22135023") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Id"], "10499697") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][135]["Score"], "22130302") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Id"], "8903058") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][136]["Score"], "22113132") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Id"], "17441569") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][137]["Score"], "22085858") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Id"], "15284932") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][138]["Score"], "22075791") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Id"], "15466771") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][139]["Score"], "22075418") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Id"], "17145267") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][140]["Score"], "22033864") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Id"], "11329662") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][141]["Score"], "22012948") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Id"], "10222514") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][142]["Score"], "22009777") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Id"], "17383530") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][143]["Score"], "22003600") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][144]["Id"], "12455800") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][144]["Score"], "21992674") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][145]["Id"], "15845051") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][145]["Score"], "21946257") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][146]["Id"], "11443295") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][146]["Score"], "21908841") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][147]["Id"], "15162233") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][147]["Score"], "21903624") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][148]["Id"], "16133610") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][148]["Score"], "21872203") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][149]["Id"], "12845461") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][149]["Score"], "21864314") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][150]["Id"], "16947073") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][150]["Score"], "21832153") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][151]["Id"], "7415301") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][151]["Score"], "21822396") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][152]["Id"], "16416239") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][152]["Score"], "21820165") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][153]["Id"], "4848922") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][153]["Score"], "21786194") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][154]["Id"], "12720164") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][154]["Score"], "21785319") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][155]["Id"], "17093987") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][155]["Score"], "21750370") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][156]["Id"], "16769006") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][156]["Score"], "21735873") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][157]["Id"], "17954835") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][157]["Score"], "21733933") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][158]["Id"], "15236134") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][158]["Score"], "21640099") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][159]["Id"], "12524603") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][159]["Score"], "21636724") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][160]["Id"], "16749985") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][160]["Score"], "21628926") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][161]["Id"], "3213296") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][161]["Score"], "21490232") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][162]["Id"], "11409026") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][162]["Score"], "21061296") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][163]["Id"], "9725288") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][163]["Score"], "21053585") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][164]["Id"], "6217136") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][164]["Score"], "21042914") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][165]["Id"], "663071") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][165]["Score"], "20926141") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][166]["Id"], "10341802") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][166]["Score"], "20797282") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][167]["Id"], "6473764") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][167]["Score"], "20757680") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][168]["Id"], "2584497") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][168]["Score"], "20521350") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][169]["Id"], "8338105") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][169]["Score"], "20501334") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][170]["Id"], "18053822") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][170]["Score"], "20275078") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][171]["Id"], "4058411") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][171]["Score"], "20161667") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][172]["Id"], "11669077") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][172]["Score"], "19993282") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][173]["Id"], "11781922") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][173]["Score"], "19969425") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][174]["Id"], "9793138") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][174]["Score"], "19952972") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][175]["Id"], "9391495") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][175]["Score"], "19815538") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][176]["Id"], "10803203") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][176]["Score"], "19495693") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][177]["Id"], "7326186") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][177]["Score"], "19273989") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][178]["Id"], "11868066") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][178]["Score"], "19220137") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][179]["Id"], "10904988") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][179]["Score"], "19203510") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][180]["Id"], "3288780") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][180]["Score"], "18958114") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][181]["Id"], "2047316") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][181]["Score"], "18907473") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][182]["Id"], "12237004") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][182]["Score"], "18751474") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][183]["Id"], "5627987") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][183]["Score"], "18741903") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][184]["Id"], "9269670") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][184]["Score"], "18666426") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][185]["Id"], "8903059") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][185]["Score"], "18653874") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][186]["Id"], "5594242") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][186]["Score"], "18548780") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][187]["Id"], "7068417") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][187]["Score"], "18390022") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][188]["Id"], "7330196") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][188]["Score"], "18371587") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][189]["Id"], "7408592") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][189]["Score"], "18275541") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][190]["Id"], "8835983") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][190]["Score"], "18176923") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][191]["Id"], "6940010") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][191]["Score"], "18011066") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][192]["Id"], "10499712") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][192]["Score"], "17943586") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][193]["Id"], "4539876") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][193]["Score"], "17915154") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][194]["Id"], "1943587") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][194]["Score"], "17752606") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][195]["Id"], "9847909") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][195]["Score"], "17568386") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][196]["Id"], "11578071") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][196]["Score"], "17561413") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][197]["Id"], "11789473") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][197]["Score"], "17435433") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][198]["Id"], "9885599") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][198]["Score"], "17383598") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][199]["Id"], "7423836") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][199]["Score"], "17196872") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][200]["Id"], "10688063") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][200]["Score"], "16453112") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][201]["Id"], "11695100") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][201]["Score"], "16352760") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][202]["Id"], "11329658") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][202]["Score"], "16089885") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][203]["Id"], "11939665") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][203]["Score"], "15947974") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][204]["Id"], "5512349") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][204]["Score"], "15647685") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][205]["Id"], "2222794") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][205]["Score"], "14981157") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][206]["Id"], "5998281") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][206]["Score"], "14226588") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][207]["Id"], "10475937") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][207]["Score"], "13934390") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][208]["Id"], "5046513") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][208]["Score"], "12769605") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][209]["Id"], "1539132") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][209]["Score"], "12395064") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][210]["Id"], "4414214") self.assertEqual(record[0]["LinkSetDb"][0]["Link"][210]["Score"], "10113539") def test_pubmed3(self): '''Test parsing pubmed link returned by ELink (third test) ''' # Create a hyperlink to the first link available for PMID 10611131 # in PubMed # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="10611131", cmd="prlinks") input = open('Entrez/elink5.xml') record = Entrez.read(input) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(len(record[0]["IdUrlList"]), 1) self.assertEqual(len(record[0]["IdUrlList"][0]), 2) self.assertEqual(record[0]["IdUrlList"][0]["Id"], "10611131") self.assertEqual(len(record[0]["IdUrlList"][0]["ObjUrl"]), 1) self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Url"], "http://brain.oxfordjournals.org/cgi/pmidlookup?view=long&pmid=10611131") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--highwire.stanford.edu-icons-externalservices-pubmed-custom-oxfordjournals_final_free.gif") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["SubjectType"], ["publishers/providers"]) self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Attribute"][0], "publisher of information in URL") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Attribute"][1], "full-text online") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Name"], "HighWire Press") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["NameAbbr"], "HighWire") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Id"], "3051") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Url"], "http://highwire.stanford.edu") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["IconUrl"], "http://highwire.stanford.edu/icons/externalservices/pubmed/highwirepress.jpg") def test_pubmed4(self): '''Test parsing pubmed links returned by ELink (fourth test) ''' # List all available links in PubMed, except for libraries, for # PMIDs 12085856 and 12085853 # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="12085856,12085853", cmd="llinks") input = open('Entrez/elink6.xml') record = Entrez.read(input) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(len(record[0]["IdUrlList"]), 2) self.assertEqual(record[0]["IdUrlList"][0]["Id"], "12085856") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Url"], "http://symptomresearch.nih.gov/chapter_1/index.htm") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["SubjectType"], ["online tutorials/courses"]) self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Name"], "New England Research Institutes Inc.") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["NameAbbr"], "NERI") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Id"], "3291") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][0]["Provider"]["Url"], "http://www.symptomresearch.com") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Url"], "http://www.nlm.nih.gov/medlineplus/coronaryarterybypasssurgery.html") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--www.nlm.nih.gov-medlineplus-images-linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["LinkName"], "Coronary Artery Bypass Surgery") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["SubjectType"], ["consumer health"]) self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Provider"]["Name"], "MedlinePlus Health Information") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Provider"]["NameAbbr"], "MEDPLUS") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Provider"]["Id"], "3162") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Provider"]["Url"], "http://medlineplus.gov/") self.assertEqual(record[0]["IdUrlList"][0]["ObjUrl"][1]["Provider"]["IconUrl"], "http://www.nlm.nih.gov/medlineplus/images/linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["Id"], "12085853") self.assertEqual(len(record[0]["IdUrlList"][1]["ObjUrl"]), 4) self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Url"], "http://www.nlm.nih.gov/medlineplus/arrhythmia.html") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--www.nlm.nih.gov-medlineplus-images-linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["LinkName"], "Arrhythmia") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["SubjectType"], ["consumer health"]) self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Provider"]["Name"], "MedlinePlus Health Information") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Provider"]["NameAbbr"], "MEDPLUS") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Provider"]["Id"], "3162") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Provider"]["Url"], "http://medlineplus.gov/") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][0]["Provider"]["IconUrl"], "http://www.nlm.nih.gov/medlineplus/images/linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Url"], "http://www.nlm.nih.gov/medlineplus/exerciseandphysicalfitness.html") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--www.nlm.nih.gov-medlineplus-images-linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["LinkName"], "Exercise and Physical Fitness") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["SubjectType"], ["consumer health"]) self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Provider"]["Name"], "MedlinePlus Health Information") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Provider"]["NameAbbr"], "MEDPLUS") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Provider"]["Id"], "3162") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Provider"]["Url"], "http://medlineplus.gov/") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][1]["Provider"]["IconUrl"], "http://www.nlm.nih.gov/medlineplus/images/linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Url"], "http://www.nlm.nih.gov/medlineplus/exerciseforchildren.html") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--www.nlm.nih.gov-medlineplus-images-linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["LinkName"], "Exercise for Children") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["SubjectType"], ["consumer health"]) self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Provider"]["Name"], "MedlinePlus Health Information") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Provider"]["NameAbbr"], "MEDPLUS") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Provider"]["Id"], "3162") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Provider"]["Url"], "http://medlineplus.gov/") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][2]["Provider"]["IconUrl"], "http://www.nlm.nih.gov/medlineplus/images/linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Url"], "http://www.nlm.nih.gov/medlineplus/pacemakersandimplantabledefibrillators.html") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["IconUrl"], "http://www.ncbi.nlm.nih.gov/entrez/query/egifs/http:--www.nlm.nih.gov-medlineplus-images-linkout_sm.gif") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["LinkName"], "Pacemakers and Implantable Defibrillators") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["SubjectType"], ["consumer health"]) self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Provider"]["Name"], "MedlinePlus Health Information") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Provider"]["NameAbbr"], "MEDPLUS") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Provider"]["Id"], "3162") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Provider"]["Url"], "http://medlineplus.gov/") self.assertEqual(record[0]["IdUrlList"][1]["ObjUrl"][3]["Provider"]["IconUrl"], "http://www.nlm.nih.gov/medlineplus/images/linkout_sm.gif") def test_pubmed5(self): '''Test parsing pubmed links returned by ELink (fifth test) ''' # List Entrez database links for PubMed PMIDs 12169658 and 11748140 # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="12169658,11748140", # cmd="acheck") input = open('Entrez/elink7.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(len(record[0]["IdCheckList"]), 2) self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["Id"], "12169658") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][0]["DbTo"], "books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][0]["LinkName"], "pubmed_books_refs") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][0]["MenuTag"], "Cited in Books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][0]["HtmlTag"], "Cited in Books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][0]["Priority"], "185") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][1]["DbTo"], "gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][1]["LinkName"], "pubmed_gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][1]["MenuTag"], "Gene Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][1]["HtmlTag"], "Gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][1]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][2]["DbTo"], "geo") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][2]["LinkName"], "pubmed_geo") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][2]["MenuTag"], "GEO Profile Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][2]["HtmlTag"], "GEO Profiles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][2]["Priority"], "170") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][3]["DbTo"], "homologene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][3]["LinkName"], "pubmed_homologene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][3]["MenuTag"], "HomoloGene Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][3]["HtmlTag"], "HomoloGene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][3]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][4]["DbTo"], "nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][4]["LinkName"], "pubmed_nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][4]["MenuTag"], "CoreNucleotide Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][4]["HtmlTag"], "CoreNucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][4]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][5]["DbTo"], "nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][5]["LinkName"], "pubmed_nuccore_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][5]["MenuTag"], "CoreNucleotide (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][5]["HtmlTag"], "CoreNucleotide (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][5]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][6]["DbTo"], "nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][6]["LinkName"], "pubmed_nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][6]["MenuTag"], "Nucleotide Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][6]["HtmlTag"], "Nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][6]["Priority"], "135") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][7]["DbTo"], "nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][7]["LinkName"], "pubmed_nucleotide_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][7]["MenuTag"], "Nucleotide (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][7]["HtmlTag"], "Nucleotide (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][7]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][8]["DbTo"], "pcsubstance") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][8]["LinkName"], "pubmed_pcsubstance_mesh") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][8]["MenuTag"], "Substance (MeSH Keyword)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][8]["HtmlTag"], "Substance (MeSH Keyword)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][8]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["DbTo"], "pmc") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["LinkName"], "pubmed_pmc_refs") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["MenuTag"], "Cited in PMC") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["HtmlTag"], "Cited in PMC") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["Url"], "http://www.pubmedcentral.gov/tocrender.fcgi?action=cited&tool=pubmed&pubmedid=<@UID@>") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][9]["Priority"], "180") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][10]["DbTo"], "protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][10]["LinkName"], "pubmed_protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][10]["MenuTag"], "Protein Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][10]["HtmlTag"], "Protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][10]["Priority"], "140") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][11]["DbTo"], "protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][11]["LinkName"], "pubmed_protein_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][11]["MenuTag"], "Protein (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][11]["HtmlTag"], "Protein (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][11]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][12]["DbTo"], "pubmed") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][12]["LinkName"], "pubmed_pubmed") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][12]["MenuTag"], "Related Articles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][12]["HtmlTag"], "Related Articles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][12]["Priority"], "1") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][13]["DbTo"], "taxonomy") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][13]["LinkName"], "pubmed_taxonomy_entrez") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][13]["MenuTag"], "Taxonomy via GenBank") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][13]["HtmlTag"], "Taxonomy via GenBank") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][13]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][14]["DbTo"], "unigene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][14]["LinkName"], "pubmed_unigene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][14]["MenuTag"], "UniGene Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][14]["HtmlTag"], "UniGene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][14]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][15]["DbTo"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][15]["LinkName"], "ExternalLink") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][15]["MenuTag"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][15]["HtmlTag"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][0]["LinkInfo"][15]["Priority"], "255") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["Id"], "11748140") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][0]["DbTo"], "books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][0]["LinkName"], "pubmed_books_refs") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][0]["MenuTag"], "Cited in Books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][0]["HtmlTag"], "Cited in Books") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][0]["Priority"], "185") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][1]["DbTo"], "gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][1]["LinkName"], "pubmed_gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][1]["MenuTag"], "Gene Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][1]["HtmlTag"], "Gene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][1]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][2]["DbTo"], "geo") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][2]["LinkName"], "pubmed_geo") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][2]["MenuTag"], "GEO Profile Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][2]["HtmlTag"], "GEO Profiles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][2]["Priority"], "170") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][3]["DbTo"], "nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][3]["LinkName"], "pubmed_nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][3]["MenuTag"], "CoreNucleotide Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][3]["HtmlTag"], "CoreNucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][3]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][4]["DbTo"], "nuccore") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][4]["LinkName"], "pubmed_nuccore_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][4]["MenuTag"], "CoreNucleotide (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][4]["HtmlTag"], "CoreNucleotide (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][4]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][5]["DbTo"], "nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][5]["LinkName"], "pubmed_nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][5]["MenuTag"], "Nucleotide Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][5]["HtmlTag"], "Nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][5]["Priority"], "135") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][6]["DbTo"], "nucleotide") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][6]["LinkName"], "pubmed_nucleotide_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][6]["MenuTag"], "Nucleotide (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][6]["HtmlTag"], "Nucleotide (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][6]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["DbTo"], "pmc") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["LinkName"], "pubmed_pmc_refs") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["MenuTag"], "Cited in PMC") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["HtmlTag"], "Cited in PMC") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["Url"], "http://www.pubmedcentral.gov/tocrender.fcgi?action=cited&tool=pubmed&pubmedid=<@UID@>") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][7]["Priority"], "180") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][8]["DbTo"], "protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][8]["LinkName"], "pubmed_protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][8]["MenuTag"], "Protein Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][8]["HtmlTag"], "Protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][8]["Priority"], "140") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][9]["DbTo"], "protein") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][9]["LinkName"], "pubmed_protein_refseq") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][9]["MenuTag"], "Protein (RefSeq) Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][9]["HtmlTag"], "Protein (RefSeq)") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][9]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][10]["DbTo"], "pubmed") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][10]["LinkName"], "pubmed_pubmed") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][10]["MenuTag"], "Related Articles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][10]["HtmlTag"], "Related Articles") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][10]["Priority"], "1") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][11]["DbTo"], "taxonomy") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][11]["LinkName"], "pubmed_taxonomy_entrez") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][11]["MenuTag"], "Taxonomy via GenBank") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][11]["HtmlTag"], "Taxonomy via GenBank") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][11]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][12]["DbTo"], "unigene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][12]["LinkName"], "pubmed_unigene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][12]["MenuTag"], "UniGene Links") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][12]["HtmlTag"], "UniGene") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][12]["Priority"], "128") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][13]["DbTo"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][13]["LinkName"], "ExternalLink") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][13]["MenuTag"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][13]["HtmlTag"], "LinkOut") self.assertEqual(record[0]["IdCheckList"]["IdLinkSet"][1]["LinkInfo"][13]["Priority"], "255") def test_pubmed6(self): '''Test parsing pubmed links returned by ELink (sixth test) ''' # Check for the existence of a Related Articles link for PMIDs # 0611131, 111645 and 12068369 # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="pubmed", id="10611131,111645", # id="12068369", cmd="ncheck") input = open('Entrez/elink8.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["DbFrom"], "pubmed") self.assertEqual(len(record[0]["IdCheckList"]), 2) self.assertEqual(len(record[0]["IdCheckList"]["Id"]), 1) self.assertEqual(record[0]["IdCheckList"]["Id"][0], "12068369") self.assertEqual(len(record[0]["IdCheckList"]["Id"][0].attributes), 1) self.assertEqual(record[0]["IdCheckList"]["Id"][0].attributes["HasNeighbor"], "Y") def test_cancerchromosomes(self): '''Test parsing cancerchromosomes links returned by ELink ''' # Retrieve neighbors for Cancer Chromosomes ID 2662 to the link # subset related by cytogenetics # To create the XML file, use # >>> Bio.Entrez.elink(dbfrom="cancerchromosomes", # db="cancerchromosomes", id="2662", # cmd="neighbor", # linkname="cancerchromosomes_cancerchromosomes_cyto") input = open('Entrez/elink9.xml') record = Entrez.read(input) self.assertEqual(record[0]["DbFrom"], "cancerchromosomes") self.assertEqual(record[0]["IdList"], ["2662"]) class EGQueryTest(unittest.TestCase): '''Tests for parsing XML output returned by EGQuery ''' def test_egquery1(self): '''Test parsing XML output returned by EGQuery (first test) ''' # Display counts in XML for stem cells in each Entrez database # To create the XML file, use # >>> Bio.Entrez.egquery(term="stem cells") input = open('Entrez/egquery1.xml') record = Entrez.read(input) self.assertEqual(record["Term"], "stem cells") self.assertEqual(record["eGQueryResult"][0]["DbName"], "pubmed") self.assertEqual(record["eGQueryResult"][0]["MenuName"], "PubMed") self.assertEqual(record["eGQueryResult"][0]["Count"], "392") self.assertEqual(record["eGQueryResult"][0]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][1]["DbName"], "pmc") self.assertEqual(record["eGQueryResult"][1]["MenuName"], "PMC") self.assertEqual(record["eGQueryResult"][1]["Count"], "173") self.assertEqual(record["eGQueryResult"][1]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][2]["DbName"], "journals") self.assertEqual(record["eGQueryResult"][2]["MenuName"], "Journals") self.assertEqual(record["eGQueryResult"][2]["Count"], "0") self.assertEqual(record["eGQueryResult"][2]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][3]["DbName"], "mesh") self.assertEqual(record["eGQueryResult"][3]["MenuName"], "MeSH") self.assertEqual(record["eGQueryResult"][3]["Count"], "0") self.assertEqual(record["eGQueryResult"][3]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][4]["DbName"], "books") self.assertEqual(record["eGQueryResult"][4]["MenuName"], "Books") self.assertEqual(record["eGQueryResult"][4]["Count"], "10") self.assertEqual(record["eGQueryResult"][4]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][5]["DbName"], "omim") self.assertEqual(record["eGQueryResult"][5]["MenuName"], "OMIM") self.assertEqual(record["eGQueryResult"][5]["Count"], "0") self.assertEqual(record["eGQueryResult"][5]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][6]["DbName"], "omia") self.assertEqual(record["eGQueryResult"][6]["MenuName"], "OMIA") self.assertEqual(record["eGQueryResult"][6]["Count"], "0") self.assertEqual(record["eGQueryResult"][6]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][7]["DbName"], "ncbisearch") self.assertEqual(record["eGQueryResult"][7]["MenuName"], "NCBI Web Site") self.assertEqual(record["eGQueryResult"][7]["Count"], "0") self.assertEqual(record["eGQueryResult"][7]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][8]["DbName"], "nuccore") self.assertEqual(record["eGQueryResult"][8]["MenuName"], "CoreNucleotide") self.assertEqual(record["eGQueryResult"][8]["Count"], "0") self.assertEqual(record["eGQueryResult"][8]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][9]["DbName"], "nucgss") self.assertEqual(record["eGQueryResult"][9]["MenuName"], "GSS") self.assertEqual(record["eGQueryResult"][9]["Count"], "0") self.assertEqual(record["eGQueryResult"][9]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][10]["DbName"], "nucest") self.assertEqual(record["eGQueryResult"][10]["MenuName"], "EST") self.assertEqual(record["eGQueryResult"][10]["Count"], "0") self.assertEqual(record["eGQueryResult"][10]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][11]["DbName"], "protein") self.assertEqual(record["eGQueryResult"][11]["MenuName"], "Protein") self.assertEqual(record["eGQueryResult"][11]["Count"], "0") self.assertEqual(record["eGQueryResult"][11]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][12]["DbName"], "genome") self.assertEqual(record["eGQueryResult"][12]["MenuName"], "Genome") self.assertEqual(record["eGQueryResult"][12]["Count"], "0") self.assertEqual(record["eGQueryResult"][12]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][13]["DbName"], "structure") self.assertEqual(record["eGQueryResult"][13]["MenuName"], "Structure") self.assertEqual(record["eGQueryResult"][13]["Count"], "0") self.assertEqual(record["eGQueryResult"][13]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][14]["DbName"], "taxonomy") self.assertEqual(record["eGQueryResult"][14]["MenuName"], "Taxonomy") self.assertEqual(record["eGQueryResult"][14]["Count"], "0") self.assertEqual(record["eGQueryResult"][14]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][15]["DbName"], "snp") self.assertEqual(record["eGQueryResult"][15]["MenuName"], "SNP") self.assertEqual(record["eGQueryResult"][15]["Count"], "0") self.assertEqual(record["eGQueryResult"][15]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][16]["DbName"], "gene") self.assertEqual(record["eGQueryResult"][16]["MenuName"], "Gene") self.assertEqual(record["eGQueryResult"][16]["Count"], "0") self.assertEqual(record["eGQueryResult"][16]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][17]["DbName"], "unigene") self.assertEqual(record["eGQueryResult"][17]["MenuName"], "UniGene") self.assertEqual(record["eGQueryResult"][17]["Count"], "0") self.assertEqual(record["eGQueryResult"][17]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][18]["DbName"], "cdd") self.assertEqual(record["eGQueryResult"][18]["MenuName"], "Conserved Domains") self.assertEqual(record["eGQueryResult"][18]["Count"], "0") self.assertEqual(record["eGQueryResult"][18]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][19]["DbName"], "domains") self.assertEqual(record["eGQueryResult"][19]["MenuName"], "3D Domains") self.assertEqual(record["eGQueryResult"][19]["Count"], "0") self.assertEqual(record["eGQueryResult"][19]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][20]["DbName"], "unists") self.assertEqual(record["eGQueryResult"][20]["MenuName"], "UniSTS") self.assertEqual(record["eGQueryResult"][20]["Count"], "0") self.assertEqual(record["eGQueryResult"][20]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][21]["DbName"], "popset") self.assertEqual(record["eGQueryResult"][21]["MenuName"], "PopSet") self.assertEqual(record["eGQueryResult"][21]["Count"], "0") self.assertEqual(record["eGQueryResult"][21]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][22]["DbName"], "geo") self.assertEqual(record["eGQueryResult"][22]["MenuName"], "GEO Profiles") self.assertEqual(record["eGQueryResult"][22]["Count"], "0") self.assertEqual(record["eGQueryResult"][22]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][23]["DbName"], "gds") self.assertEqual(record["eGQueryResult"][23]["MenuName"], "GEO DataSets") self.assertEqual(record["eGQueryResult"][23]["Count"], "0") self.assertEqual(record["eGQueryResult"][23]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][24]["DbName"], "homologene") self.assertEqual(record["eGQueryResult"][24]["MenuName"], "HomoloGene") self.assertEqual(record["eGQueryResult"][24]["Count"], "0") self.assertEqual(record["eGQueryResult"][24]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][25]["DbName"], "cancerchromosomes") self.assertEqual(record["eGQueryResult"][25]["MenuName"], "CancerChromosomes") self.assertEqual(record["eGQueryResult"][25]["Count"], "0") self.assertEqual(record["eGQueryResult"][25]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][26]["DbName"], "pccompound") self.assertEqual(record["eGQueryResult"][26]["MenuName"], "PubChem Compound") self.assertEqual(record["eGQueryResult"][26]["Count"], "0") self.assertEqual(record["eGQueryResult"][26]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][27]["DbName"], "pcsubstance") self.assertEqual(record["eGQueryResult"][27]["MenuName"], "PubChem Substance") self.assertEqual(record["eGQueryResult"][27]["Count"], "0") self.assertEqual(record["eGQueryResult"][27]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][28]["DbName"], "pcassay") self.assertEqual(record["eGQueryResult"][28]["MenuName"], "PubChem BioAssay") self.assertEqual(record["eGQueryResult"][28]["Count"], "0") self.assertEqual(record["eGQueryResult"][28]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][29]["DbName"], "nlmcatalog") self.assertEqual(record["eGQueryResult"][29]["MenuName"], "NLM Catalog") self.assertEqual(record["eGQueryResult"][29]["Count"], "2") self.assertEqual(record["eGQueryResult"][29]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][30]["DbName"], "gensat") self.assertEqual(record["eGQueryResult"][30]["MenuName"], "GENSAT") self.assertEqual(record["eGQueryResult"][30]["Count"], "0") self.assertEqual(record["eGQueryResult"][30]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][31]["DbName"], "probe") self.assertEqual(record["eGQueryResult"][31]["MenuName"], "Probe") self.assertEqual(record["eGQueryResult"][31]["Count"], "0") self.assertEqual(record["eGQueryResult"][31]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][32]["DbName"], "genomeprj") self.assertEqual(record["eGQueryResult"][32]["MenuName"], "Genome Project") self.assertEqual(record["eGQueryResult"][32]["Count"], "0") self.assertEqual(record["eGQueryResult"][32]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][33]["DbName"], "gap") self.assertEqual(record["eGQueryResult"][33]["MenuName"], "dbGaP") self.assertEqual(record["eGQueryResult"][33]["Count"], "0") self.assertEqual(record["eGQueryResult"][33]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][34]["DbName"], "proteinclusters") self.assertEqual(record["eGQueryResult"][34]["MenuName"], "Protein Clusters") self.assertEqual(record["eGQueryResult"][34]["Count"], "0") self.assertEqual(record["eGQueryResult"][34]["Status"], "Term or Database is not found") def test_egquery2(self): '''Test parsing XML output returned by EGQuery (second test) ''' # Display counts in XML for brca1 or brca2 for each Entrez database # To create the XML file, use # >>> Bio.Entrez.egquery(term="brca1 OR brca2") input = open('Entrez/egquery2.xml') record = Entrez.read(input) self.assertEqual(record["Term"], "brca1 OR brca2") self.assertEqual(record["eGQueryResult"][0]["DbName"], "pubmed") self.assertEqual(record["eGQueryResult"][0]["MenuName"], "PubMed") self.assertEqual(record["eGQueryResult"][0]["Count"], "0") self.assertEqual(record["eGQueryResult"][0]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][1]["DbName"], "pmc") self.assertEqual(record["eGQueryResult"][1]["MenuName"], "PMC") self.assertEqual(record["eGQueryResult"][1]["Count"], "2739") self.assertEqual(record["eGQueryResult"][1]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][2]["DbName"], "journals") self.assertEqual(record["eGQueryResult"][2]["MenuName"], "Journals") self.assertEqual(record["eGQueryResult"][2]["Count"], "0") self.assertEqual(record["eGQueryResult"][2]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][3]["DbName"], "mesh") self.assertEqual(record["eGQueryResult"][3]["MenuName"], "MeSH") self.assertEqual(record["eGQueryResult"][3]["Count"], "29") self.assertEqual(record["eGQueryResult"][3]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][4]["DbName"], "books") self.assertEqual(record["eGQueryResult"][4]["MenuName"], "Books") self.assertEqual(record["eGQueryResult"][4]["Count"], "392") self.assertEqual(record["eGQueryResult"][4]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][5]["DbName"], "omim") self.assertEqual(record["eGQueryResult"][5]["MenuName"], "OMIM") self.assertEqual(record["eGQueryResult"][5]["Count"], "149") self.assertEqual(record["eGQueryResult"][5]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][6]["DbName"], "omia") self.assertEqual(record["eGQueryResult"][6]["MenuName"], "OMIA") self.assertEqual(record["eGQueryResult"][6]["Count"], "0") self.assertEqual(record["eGQueryResult"][6]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][7]["DbName"], "ncbisearch") self.assertEqual(record["eGQueryResult"][7]["MenuName"], "NCBI Web Site") self.assertEqual(record["eGQueryResult"][7]["Count"], "13") self.assertEqual(record["eGQueryResult"][7]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][8]["DbName"], "nuccore") self.assertEqual(record["eGQueryResult"][8]["MenuName"], "CoreNucleotide") self.assertEqual(record["eGQueryResult"][8]["Count"], "4917") self.assertEqual(record["eGQueryResult"][8]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][9]["DbName"], "nucgss") self.assertEqual(record["eGQueryResult"][9]["MenuName"], "GSS") self.assertEqual(record["eGQueryResult"][9]["Count"], "184") self.assertEqual(record["eGQueryResult"][9]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][10]["DbName"], "nucest") self.assertEqual(record["eGQueryResult"][10]["MenuName"], "EST") self.assertEqual(record["eGQueryResult"][10]["Count"], "600") self.assertEqual(record["eGQueryResult"][10]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][11]["DbName"], "protein") self.assertEqual(record["eGQueryResult"][11]["MenuName"], "Protein") self.assertEqual(record["eGQueryResult"][11]["Count"], "6779") self.assertEqual(record["eGQueryResult"][11]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][12]["DbName"], "genome") self.assertEqual(record["eGQueryResult"][12]["MenuName"], "Genome") self.assertEqual(record["eGQueryResult"][12]["Count"], "44") self.assertEqual(record["eGQueryResult"][12]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][13]["DbName"], "structure") self.assertEqual(record["eGQueryResult"][13]["MenuName"], "Structure") self.assertEqual(record["eGQueryResult"][13]["Count"], "29") self.assertEqual(record["eGQueryResult"][13]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][14]["DbName"], "taxonomy") self.assertEqual(record["eGQueryResult"][14]["MenuName"], "Taxonomy") self.assertEqual(record["eGQueryResult"][14]["Count"], "0") self.assertEqual(record["eGQueryResult"][14]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][15]["DbName"], "snp") self.assertEqual(record["eGQueryResult"][15]["MenuName"], "SNP") self.assertEqual(record["eGQueryResult"][15]["Count"], "2013") self.assertEqual(record["eGQueryResult"][15]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][16]["DbName"], "gene") self.assertEqual(record["eGQueryResult"][16]["MenuName"], "Gene") self.assertEqual(record["eGQueryResult"][16]["Count"], "1775") self.assertEqual(record["eGQueryResult"][16]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][17]["DbName"], "unigene") self.assertEqual(record["eGQueryResult"][17]["MenuName"], "UniGene") self.assertEqual(record["eGQueryResult"][17]["Count"], "207") self.assertEqual(record["eGQueryResult"][17]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][18]["DbName"], "cdd") self.assertEqual(record["eGQueryResult"][18]["MenuName"], "Conserved Domains") self.assertEqual(record["eGQueryResult"][18]["Count"], "17") self.assertEqual(record["eGQueryResult"][18]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][19]["DbName"], "domains") self.assertEqual(record["eGQueryResult"][19]["MenuName"], "3D Domains") self.assertEqual(record["eGQueryResult"][19]["Count"], "131") self.assertEqual(record["eGQueryResult"][19]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][20]["DbName"], "unists") self.assertEqual(record["eGQueryResult"][20]["MenuName"], "UniSTS") self.assertEqual(record["eGQueryResult"][20]["Count"], "198") self.assertEqual(record["eGQueryResult"][20]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][21]["DbName"], "popset") self.assertEqual(record["eGQueryResult"][21]["MenuName"], "PopSet") self.assertEqual(record["eGQueryResult"][21]["Count"], "43") self.assertEqual(record["eGQueryResult"][21]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][22]["DbName"], "geo") self.assertEqual(record["eGQueryResult"][22]["MenuName"], "GEO Profiles") self.assertEqual(record["eGQueryResult"][22]["Count"], "128692") self.assertEqual(record["eGQueryResult"][22]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][23]["DbName"], "gds") self.assertEqual(record["eGQueryResult"][23]["MenuName"], "GEO DataSets") self.assertEqual(record["eGQueryResult"][23]["Count"], "21") self.assertEqual(record["eGQueryResult"][23]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][24]["DbName"], "homologene") self.assertEqual(record["eGQueryResult"][24]["MenuName"], "HomoloGene") self.assertEqual(record["eGQueryResult"][24]["Count"], "50") self.assertEqual(record["eGQueryResult"][24]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][25]["DbName"], "cancerchromosomes") self.assertEqual(record["eGQueryResult"][25]["MenuName"], "CancerChromosomes") self.assertEqual(record["eGQueryResult"][25]["Count"], "18") self.assertEqual(record["eGQueryResult"][25]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][26]["DbName"], "pccompound") self.assertEqual(record["eGQueryResult"][26]["MenuName"], "PubChem Compound") self.assertEqual(record["eGQueryResult"][26]["Count"], "0") self.assertEqual(record["eGQueryResult"][26]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][27]["DbName"], "pcsubstance") self.assertEqual(record["eGQueryResult"][27]["MenuName"], "PubChem Substance") self.assertEqual(record["eGQueryResult"][27]["Count"], "26") self.assertEqual(record["eGQueryResult"][27]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][28]["DbName"], "pcassay") self.assertEqual(record["eGQueryResult"][28]["MenuName"], "PubChem BioAssay") self.assertEqual(record["eGQueryResult"][28]["Count"], "0") self.assertEqual(record["eGQueryResult"][28]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][29]["DbName"], "nlmcatalog") self.assertEqual(record["eGQueryResult"][29]["MenuName"], "NLM Catalog") self.assertEqual(record["eGQueryResult"][29]["Count"], "31") self.assertEqual(record["eGQueryResult"][29]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][30]["DbName"], "gensat") self.assertEqual(record["eGQueryResult"][30]["MenuName"], "GENSAT") self.assertEqual(record["eGQueryResult"][30]["Count"], "0") self.assertEqual(record["eGQueryResult"][30]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][31]["DbName"], "probe") self.assertEqual(record["eGQueryResult"][31]["MenuName"], "Probe") self.assertEqual(record["eGQueryResult"][31]["Count"], "1410") self.assertEqual(record["eGQueryResult"][31]["Status"], "Ok") self.assertEqual(record["eGQueryResult"][32]["DbName"], "genomeprj") self.assertEqual(record["eGQueryResult"][32]["MenuName"], "Genome Project") self.assertEqual(record["eGQueryResult"][32]["Count"], "0") self.assertEqual(record["eGQueryResult"][32]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][33]["DbName"], "gap") self.assertEqual(record["eGQueryResult"][33]["MenuName"], "dbGaP") self.assertEqual(record["eGQueryResult"][33]["Count"], "0") self.assertEqual(record["eGQueryResult"][33]["Status"], "Term or Database is not found") self.assertEqual(record["eGQueryResult"][34]["DbName"], "proteinclusters") self.assertEqual(record["eGQueryResult"][34]["MenuName"], "Protein Clusters") self.assertEqual(record["eGQueryResult"][34]["Count"], "0") self.assertEqual(record["eGQueryResult"][34]["Status"], "Term or Database is not found") class ESpellTest(unittest.TestCase): '''Tests for parsing XML output returned by ESpell ''' def test_espell(self): '''Test parsing XML output returned by ESpell ''' # Request suggestions for the PubMed search biopythooon # To create the XML file, use # >>> Bio.Entrez.espell(db="pubmed", term="biopythooon") input = open('Entrez/espell.xml') record = Entrez.read(input) self.assertEqual(record["Database"], "pubmed") self.assertEqual(record["Query"], "biopythooon") self.assertEqual(record["CorrectedQuery"], "biopython") self.assertEqual(len(record["SpelledQuery"]), 1) self.assertEqual(record["SpelledQuery"][0], "biopython") self.assertEqual(record["SpelledQuery"][0].tag, "Replaced") class EFetchTest(unittest.TestCase): '''Tests for parsing XML output returned by EFetch ''' def test_pubmed1(self): '''Test parsing XML returned by EFetch, PubMed database (first test) ''' # In PubMed display PMIDs 12091962 and 9997 in xml retrieval mode # and abstract retrieval type. # To create the XML file, use # >>> Bio.Entrez.efetch(db='pubmed', id='12091962,9997', # retmode='xml', rettype='abstract') input = open('Entrez/pubmed1.xml') record = Entrez.read(input) self.assertEqual(record[0]["MedlineCitation"].attributes["Owner"], "KIE") self.assertEqual(record[0]["MedlineCitation"].attributes["Status"], "MEDLINE") self.assertEqual(record[0]["MedlineCitation"]["PMID"], "12091962") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Year"], "1991") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Month"], "01") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Day"], "22") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Year"], "1991") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Month"], "01") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Day"], "22") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Year"], "2007") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Month"], "11") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Day"], "15") self.assertEqual(record[0]["MedlineCitation"]["Article"].attributes["PubModel"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["ISSN"], "1043-1578") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["ISSN"].attributes["IssnType"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"].attributes["CitedMedium"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Volume"], "17") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Issue"], "1") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Year"], "1990") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Season"], "Spring") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["Title"], "Social justice (San Francisco, Calif.)") self.assertEqual(record[0]["MedlineCitation"]["Article"]["ArticleTitle"], "The treatment of AIDS behind the walls of correctional facilities.") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Pagination"]["MedlinePgn"], "113-25") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"].attributes["CompleteYN"], 'Y') self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["LastName"], "Olivero") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["ForeName"], "J Michael") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["Initials"], "JM") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Language"], ["eng"]) self.assertEqual(record[0]["MedlineCitation"]["Article"]["PublicationTypeList"], ["Journal Article", "Review"]) self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["Country"], "United States") self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["MedlineTA"], "Soc Justice") self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["NlmUniqueID"], "9891830") self.assertEqual(record[0]["MedlineCitation"]["CitationSubset"], ["E"]) self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"], "AIDS Serodiagnosis") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"], "Acquired Immunodeficiency Syndrome") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"], "Civil Rights") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"], "HIV Seropositivity") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"], "Humans") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"], "Jurisprudence") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"], "Law Enforcement") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"], "Mass Screening") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"], "Minority Groups") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"], "Organizational Policy") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"], "Patient Care") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][11]["DescriptorName"], "Prejudice") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][11]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][12]["DescriptorName"], "Prisoners") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][12]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][13]["DescriptorName"], "Public Policy") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][13]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][14]["DescriptorName"], "Quarantine") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][14]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][15]["DescriptorName"], "Social Control, Formal") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][15]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][16]["DescriptorName"], "Statistics as Topic") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][16]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][17]["DescriptorName"], "Stereotyping") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][17]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][18]["DescriptorName"], "United States") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][18]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["NumberOfReferences"], "63") self.assertEqual(record[0]["MedlineCitation"]["OtherID"][0], "31840") self.assertEqual(record[0]["MedlineCitation"]["OtherID"][0].attributes["Source"], "KIE") self.assertEqual(record[0]["MedlineCitation"]["KeywordList"][0].attributes["Owner"], "KIE") self.assertEqual(record[0]["MedlineCitation"]["KeywordList"][0][0], "Health Care and Public Health") self.assertEqual(record[0]["MedlineCitation"]["KeywordList"][0][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["KeywordList"][0][1], "Legal Approach") self.assertEqual(record[0]["MedlineCitation"]["KeywordList"][0][1].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][0], "14 fn.") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][0].attributes["Owner"], "KIE") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][1], "KIE BoB Subject Heading: AIDS") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][1].attributes["Owner"], "KIE") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][2], "63 refs.") self.assertEqual(record[0]["MedlineCitation"]["GeneralNote"][2].attributes["Owner"], "KIE") self.assertEqual(record[0]["PubmedData"]["History"][0][0].attributes["PubStatus"], "pubmed") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Year"], "1990") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Month"], "4") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Day"], "1") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Hour"], "0") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Minute"], "0") self.assertEqual(record[0]["PubmedData"]["History"][0][1].attributes["PubStatus"], "medline") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Year"], "2002") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Month"], "7") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Day"], "16") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Hour"], "10") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Minute"], "1") self.assertEqual(record[0]["PubmedData"]["PublicationStatus"], "ppublish") self.assertEqual(len(record[0]["PubmedData"]["ArticleIdList"]), 1) self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][0], "12091962") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][0].attributes["IdType"], "pubmed") self.assertEqual(record[1]["MedlineCitation"].attributes["Owner"], "NLM") self.assertEqual(record[1]["MedlineCitation"].attributes["Status"], "MEDLINE") self.assertEqual(record[1]["MedlineCitation"]["PMID"], "9997") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Year"], "1976") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Month"], "12") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Day"], "30") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Year"], "1976") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Month"], "12") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Day"], "30") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Year"], "2003") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Month"], "11") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Day"], "14") self.assertEqual(record[1]["MedlineCitation"]["Article"].attributes["PubModel"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISSN"], "0006-3002") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISSN"].attributes["IssnType"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"].attributes["CitedMedium"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Volume"], "446") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Issue"], "1") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Year"], "1976") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Month"], "Sep") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Day"], "28") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["Title"], "Biochimica et biophysica acta") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISOAbbreviation"], "Biochim. Biophys. Acta") self.assertEqual(record[1]["MedlineCitation"]["Article"]["ArticleTitle"], "Magnetic studies of Chromatium flavocytochrome C552. A mechanism for heme-flavin interaction.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Pagination"]["MedlinePgn"], "179-91") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Abstract"]["AbstractText"], "Electron paramagnetic resonance and magnetic susceptibility studies of Chromatium flavocytochrome C552 and its diheme flavin-free subunit at temperatures below 45 degrees K are reported. The results show that in the intact protein and the subunit the two low-spin (S = 1/2) heme irons are distinguishable, giving rise to separate EPR signals. In the intact protein only, one of the heme irons exists in two different low spin environments in the pH range 5.5 to 10.5, while the other remains in a constant environment. Factors influencing the variable heme iron environment also influence flavin reactivity, indicating the existence of a mechanism for heme-flavin interaction.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"].attributes["CompleteYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["LastName"], "Strekas") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["ForeName"], "T C") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["Initials"], "TC") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Language"], ["eng"]) self.assertEqual(record[1]["MedlineCitation"]["Article"]["PublicationTypeList"], ["Journal Article"]) self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["Country"], "NETHERLANDS") self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["MedlineTA"], "Biochim Biophys Acta") self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["NlmUniqueID"], "0217513") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][0]["RegistryNumber"], "0") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][0]["NameOfSubstance"], "Cytochrome c Group") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][1]["RegistryNumber"], "0") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][1]["NameOfSubstance"], "Flavins") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][2]["RegistryNumber"], "14875-96-8") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][2]["NameOfSubstance"], "Heme") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][3]["RegistryNumber"], "7439-89-6") self.assertEqual(record[1]["MedlineCitation"]["ChemicalList"][3]["NameOfSubstance"], "Iron") self.assertEqual(record[1]["MedlineCitation"]["CitationSubset"], ["IM"]) self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"], "Binding Sites") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"], "Chromatium") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][1]["QualifierName"][0], "enzymology") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][1]["QualifierName"][0].attributes["MajorTopicYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"], "Cytochrome c Group") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"], "Electron Spin Resonance Spectroscopy") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"], "Flavins") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"], "Heme") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"], "Hydrogen-Ion Concentration") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"], "Iron") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][0], "analysis") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"], "Magnetics") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"], "Oxidation-Reduction") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"], "Protein Binding") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][11]["DescriptorName"], "Protein Conformation") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][11]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][12]["DescriptorName"], "Temperature") self.assertEqual(record[1]["MedlineCitation"]["MeshHeadingList"][12]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[1]["PubmedData"]["History"][0][0].attributes["PubStatus"], "pubmed") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Year"], "1976") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Month"], "9") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Day"], "28") self.assertEqual(record[1]["PubmedData"]["History"][0][1].attributes["PubStatus"], "medline") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Year"], "1976") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Month"], "9") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Day"], "28") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Hour"], "0") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Minute"], "1") self.assertEqual(record[1]["PubmedData"]["PublicationStatus"], "ppublish") self.assertEqual(len(record[1]["PubmedData"]["ArticleIdList"]), 1) self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][0], "9997") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][0].attributes["IdType"], "pubmed") def test_pubmed2(self): '''Test parsing XML returned by EFetch, PubMed database (second test) ''' # In PubMed display PMIDs in xml retrieval mode. # To create the XML file, use # >>> Bio.Entrez.efetch(db='pubmed', id="11748933,11700088", # retmode="xml") input = open('Entrez/pubmed2.xml') record = Entrez.read(input) self.assertEqual(record[0]["MedlineCitation"].attributes["Owner"], "NLM") self.assertEqual(record[0]["MedlineCitation"].attributes["Status"], "MEDLINE") self.assertEqual(record[0]["MedlineCitation"]["PMID"], "11748933") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Year"], "2001") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Month"], "12") self.assertEqual(record[0]["MedlineCitation"]["DateCreated"]["Day"], "25") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Year"], "2002") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Month"], "03") self.assertEqual(record[0]["MedlineCitation"]["DateCompleted"]["Day"], "04") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Year"], "2006") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Month"], "11") self.assertEqual(record[0]["MedlineCitation"]["DateRevised"]["Day"], "15") self.assertEqual(record[0]["MedlineCitation"]["Article"].attributes["PubModel"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["ISSN"], "0011-2240") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["ISSN"].attributes["IssnType"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"].attributes["CitedMedium"], "Print") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Volume"], "42") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Issue"], "4") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Year"], "2001") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Month"], "Jun") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["Title"], "Cryobiology") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Journal"]["ISOAbbreviation"], "Cryobiology") self.assertEqual(record[0]["MedlineCitation"]["Article"]["ArticleTitle"], "Is cryopreservation a homogeneous process? Ultrastructure and motility of untreated, prefreezing, and postthawed spermatozoa of Diplodus puntazzo (Cetti).") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Pagination"]["MedlinePgn"], "244-55") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Abstract"]["AbstractText"], "This study subdivides the cryopreservation procedure for Diplodus puntazzo spermatozoa into three key phases, fresh, prefreezing (samples equilibrated in cryosolutions), and postthawed stages, and examines the ultrastructural anomalies and motility profiles of spermatozoa in each stage, with different cryodiluents. Two simple cryosolutions were evaluated: 0.17 M sodium chloride containing a final concentration of 15% dimethyl sulfoxide (Me(2)SO) (cryosolution A) and 0.1 M sodium citrate containing a final concentration of 10% Me(2)SO (cryosolution B). Ultrastructural anomalies of the plasmatic and nuclear membranes of the sperm head were common and the severity of the cryoinjury differed significantly between the pre- and the postfreezing phases and between the two cryosolutions. In spermatozoa diluted with cryosolution A, during the prefreezing phase, the plasmalemma of 61% of the cells was absent or damaged compared with 24% in the fresh sample (P < 0.001). In spermatozoa diluted with cryosolution B, there was a pronounced increase in the number of cells lacking the head plasmatic membrane from the prefreezing to the postthawed stages (from 32 to 52%, P < 0.01). In both cryosolutions, damages to nuclear membrane were significantly higher after freezing (cryosolution A: 8 to 23%, P < 0.01; cryosolution B: 5 to 38%, P < 0.001). With cryosolution A, the after-activation motility profile confirmed a consistent drop from fresh at the prefreezing stage, whereas freezing and thawing did not affect the motility much further and 50% of the cells were immotile by 60-90 s after activation. With cryosolution B, only the postthawing stage showed a sharp drop of motility profile. This study suggests that the different phases of the cryoprocess should be investigated to better understand the process of sperm damage.") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Abstract"]["CopyrightInformation"], "Copyright 2001 Elsevier Science.") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Affiliation"], u'Dipartimento di Scienze Ambientali, Universit\xe0 degli Studi della Tuscia, 01100 Viterbo, Italy.') self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"].attributes["CompleteYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["LastName"], "Taddei") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["ForeName"], "A R") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][0]["Initials"], "AR") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][1].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][1]["LastName"], "Barbato") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][1]["ForeName"], "F") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][1]["Initials"], "F") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][2].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][2]["LastName"], "Abelli") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][2]["ForeName"], "L") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][2]["Initials"], "L") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][3].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][3]["LastName"], "Canese") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][3]["ForeName"], "S") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][3]["Initials"], "S") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][4].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][4]["LastName"], "Moretti") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][4]["ForeName"], "F") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][4]["Initials"], "F") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][5].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][5]["LastName"], "Rana") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][5]["ForeName"], "K J") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][5]["Initials"], "KJ") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][6].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][6]["LastName"], "Fausto") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][6]["ForeName"], "A M") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][6]["Initials"], "AM") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][7].attributes["ValidYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][7]["LastName"], "Mazzini") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][7]["ForeName"], "M") self.assertEqual(record[0]["MedlineCitation"]["Article"]["AuthorList"][7]["Initials"], "M") self.assertEqual(record[0]["MedlineCitation"]["Article"]["Language"], ["eng"]) self.assertEqual(record[0]["MedlineCitation"]["Article"]["PublicationTypeList"][0], "Journal Article") self.assertEqual(record[0]["MedlineCitation"]["Article"]["PublicationTypeList"][1], "Research Support, Non-U.S. Gov't") self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["Country"], "United States") self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["MedlineTA"], "Cryobiology") self.assertEqual(record[0]["MedlineCitation"]["MedlineJournalInfo"]["NlmUniqueID"], "0006252") self.assertEqual(record[0]["MedlineCitation"]["CitationSubset"], ["IM"]) self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"], "Animals") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][0]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"], "Cell Membrane") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["QualifierName"][0], "ultrastructure") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][1]["QualifierName"][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"], "Cryopreservation") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["QualifierName"][0], "methods") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][2]["QualifierName"][0].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"], "Male") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][3]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"], "Microscopy, Electron") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][4]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"], "Microscopy, Electron, Scanning") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][5]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"], "Nuclear Envelope") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["QualifierName"][0], "ultrastructure") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][6]["QualifierName"][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"], "Sea Bream") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][0], "anatomy & histology") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][0].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][1], "physiology") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][7]["QualifierName"][1].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"], "Semen Preservation") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["QualifierName"][0], "adverse effects") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["QualifierName"][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["QualifierName"][1], "methods") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][8]["QualifierName"][1].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"], "Sperm Motility") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][9]["DescriptorName"].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"], "Spermatozoa") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["DescriptorName"].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["QualifierName"][0], "physiology") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["QualifierName"][0].attributes["MajorTopicYN"], "N") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["QualifierName"][1], "ultrastructure") self.assertEqual(record[0]["MedlineCitation"]["MeshHeadingList"][10]["QualifierName"][1].attributes["MajorTopicYN"], "Y") self.assertEqual(record[0]["PubmedData"]["History"][0][0].attributes["PubStatus"], "pubmed") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Year"], "2001") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Month"], "12") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Day"], "26") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Hour"], "10") self.assertEqual(record[0]["PubmedData"]["History"][0][0]["Minute"], "0") self.assertEqual(record[0]["PubmedData"]["History"][0][1].attributes["PubStatus"], "medline") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Year"], "2002") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Month"], "3") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Day"], "5") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Hour"], "10") self.assertEqual(record[0]["PubmedData"]["History"][0][1]["Minute"], "1") self.assertEqual(record[0]["PubmedData"]["PublicationStatus"], "ppublish") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][0], "11748933") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][0].attributes["IdType"], "pubmed") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][1], "10.1006/cryo.2001.2328") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][1].attributes["IdType"], "doi") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][2], "S0011-2240(01)92328-4") self.assertEqual(record[0]["PubmedData"]["ArticleIdList"][2].attributes["IdType"], "pii") self.assertEqual(record[1]["MedlineCitation"].attributes["Owner"], "NLM") self.assertEqual(record[1]["MedlineCitation"].attributes["Status"], "PubMed-not-MEDLINE") self.assertEqual(record[1]["MedlineCitation"]["PMID"], "11700088") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Year"], "2001") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Month"], "11") self.assertEqual(record[1]["MedlineCitation"]["DateCreated"]["Day"], "08") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Year"], "2001") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Month"], "12") self.assertEqual(record[1]["MedlineCitation"]["DateCompleted"]["Day"], "20") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Year"], "2003") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Month"], "10") self.assertEqual(record[1]["MedlineCitation"]["DateRevised"]["Day"], "31") self.assertEqual(record[1]["MedlineCitation"]["Article"].attributes["PubModel"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISSN"], "1090-7807") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISSN"].attributes["IssnType"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"].attributes["CitedMedium"], "Print") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Volume"], "153") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["Issue"], "1") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Year"], "2001") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["JournalIssue"]["PubDate"]["Month"], "Nov") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["Title"], "Journal of magnetic resonance (San Diego, Calif. : 1997)") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Journal"]["ISOAbbreviation"], "J. Magn. Reson.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["ArticleTitle"], "Proton MRI of (13)C distribution by J and chemical shift editing.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Pagination"]["MedlinePgn"], "117-23") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Abstract"]["AbstractText"], "The sensitivity of (13)C NMR imaging can be considerably favored by detecting the (1)H nuclei bound to (13)C nuclei via scalar J-interaction (X-filter). However, the J-editing approaches have difficulty in discriminating between compounds with similar J-constant as, for example, different glucose metabolites. In such cases, it is almost impossible to get J-edited images of a single-compound distribution, since the various molecules are distinguishable only via their chemical shift. In a recent application of J-editing to high-resolution spectroscopy, it has been shown that a more efficient chemical selectivity could be obtained by utilizing the larger chemical shift range of (13)C. This has been made by introducing frequency-selective (13)C pulses that allow a great capability of indirect chemical separation. Here a double-resonance imaging approach is proposed, based on both J-editing and (13)C chemical shift editing, which achieves a powerful chemical selectivity and is able to produce full maps of specific chemical compounds. Results are presented on a multicompartments sample containing solutions of glucose and lactic and glutamic acid in water.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Abstract"]["CopyrightInformation"], "Copyright 2001 Academic Press.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Affiliation"], "INFM and Department of Physics, University of L'Aquila, I-67100 L'Aquila, Italy.") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"].attributes["CompleteYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["LastName"], "Casieri") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["ForeName"], "C") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][0]["Initials"], "C") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][1].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][1]["LastName"], "Testa") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][1]["ForeName"], "C") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][1]["Initials"], "C") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][2].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][2]["LastName"], "Carpinelli") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][2]["ForeName"], "G") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][2]["Initials"], "G") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][3].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][3]["LastName"], "Canese") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][3]["ForeName"], "R") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][3]["Initials"], "R") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][4].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][4]["LastName"], "Podo") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][4]["ForeName"], "F") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][4]["Initials"], "F") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][5].attributes["ValidYN"], "Y") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][5]["LastName"], "De Luca") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][5]["ForeName"], "F") self.assertEqual(record[1]["MedlineCitation"]["Article"]["AuthorList"][5]["Initials"], "F") self.assertEqual(record[1]["MedlineCitation"]["Article"]["Language"], ["eng"]) self.assertEqual(record[1]["MedlineCitation"]["Article"]["PublicationTypeList"][0], "Journal Article") self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["Country"], "United States") self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["MedlineTA"], "J Magn Reson") self.assertEqual(record[1]["MedlineCitation"]["MedlineJournalInfo"]["NlmUniqueID"], "9707935") self.assertEqual(record[1]["PubmedData"]["History"][0][0].attributes["PubStatus"], "pubmed") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Year"], "2001") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Month"], "11") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Day"], "9") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Hour"], "10") self.assertEqual(record[1]["PubmedData"]["History"][0][0]["Minute"], "0") self.assertEqual(record[1]["PubmedData"]["History"][0][1].attributes["PubStatus"], "medline") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Year"], "2001") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Month"], "11") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Day"], "9") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Hour"], "10") self.assertEqual(record[1]["PubmedData"]["History"][0][1]["Minute"], "1") self.assertEqual(record[1]["PubmedData"]["PublicationStatus"], "ppublish") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][0], "11700088") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][0].attributes["IdType"], "pubmed") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][1], "10.1006/jmre.2001.2429") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][1].attributes["IdType"], "doi") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][2], "S1090-7807(01)92429-2") self.assertEqual(record[1]["PubmedData"]["ArticleIdList"][2].attributes["IdType"], "pii") def test_journals(self): '''Test parsing XML returned by EFetch, Journals database ''' # In Journals display records for journal IDs 22682,21698,1490 # To create the XML file, use # >>> Bio.Entrez.efetch(db="journals", id=["22682","21698","1490"], # rettype="full", retmode='xml') input = open('Entrez/serialset.xml') record = Entrez.read(input) self.assertEqual(record[0]["NlmUniqueID"], "100971611") self.assertEqual(record[0]["Title"], "21st century science & technology") self.assertEqual(record[0]["MedlineTA"], "21st Century Sci Technol") self.assertEqual(len(record[0]["PublicationInfo"]), 8) self.assertEqual(record[0]["PublicationInfo"]["Country"], "United States") self.assertEqual(record[0]["PublicationInfo"]["Place"], ["[Washington, D.C. :"]) self.assertEqual(record[0]["PublicationInfo"]["Publisher"], ["21st Century Science Associates,"]) self.assertEqual(record[0]["PublicationInfo"]["PublicationFirstYear"], "1988") self.assertEqual(record[0]["PublicationInfo"]["Frequency"], ["Quarterly,"]) self.assertEqual(record[0]["PublicationInfo"]["Imprint"], []) self.assertEqual(record[0]["PublicationInfo"]["DateIssued"], []) self.assertEqual(record[0]["PublicationInfo"]["DatesOfSerialPublication"], []) self.assertEqual(record[0]["ISSN"], ["0895-6820"]) self.assertEqual(record[0]["ISSN"][0].attributes["IssnType"], "Print") self.assertEqual(record[0]["Language"], ["eng"]) self.assertEqual(record[0]["AcidFreeYN"], "N") self.assertEqual(record[0]["MinorTitleChangeYN"], "N") self.assertEqual(record[0]["CurrentlyIndexedYN"], "N") self.assertEqual(record[0]["IndexOnlineYN"], "N") self.assertEqual(record[0]["IndexingSubset"], "S") self.assertEqual(len(record[0]["CrossReferenceList"]), 5) self.assertEqual(record[0]["CrossReferenceList"][0]["XrTitle"], "21 century") self.assertEqual(record[0]["CrossReferenceList"][0].attributes["XrType"], "X") self.assertEqual(record[0]["CrossReferenceList"][1]["XrTitle"], "21st century science & technology.") self.assertEqual(record[0]["CrossReferenceList"][1].attributes["XrType"], "A") self.assertEqual(record[0]["CrossReferenceList"][2]["XrTitle"], "21st century science and technology") self.assertEqual(record[0]["CrossReferenceList"][2].attributes["XrType"], "X") self.assertEqual(record[0]["CrossReferenceList"][3]["XrTitle"], "Twenty-first century science & technology") self.assertEqual(record[0]["CrossReferenceList"][3].attributes["XrType"], "X") self.assertEqual(record[0]["CrossReferenceList"][4]["XrTitle"], "Twenty-first century science and technology") self.assertEqual(record[0]["CrossReferenceList"][4].attributes["XrType"], "X") self.assertEqual(record[0]["SortSerialName"], "21ST CENTURY SCIENCE & TECHNOLOGY") self.assertEqual(record[0]["IlsCreatedTimestamp"]["Year"], "2000") self.assertEqual(record[0]["IlsCreatedTimestamp"]["Month"], "11") self.assertEqual(record[0]["IlsCreatedTimestamp"]["Day"], "22") self.assertEqual(record[0]["IlsUpdatedTimestamp"]["Year"], "2006") self.assertEqual(record[0]["IlsUpdatedTimestamp"]["Month"], "10") self.assertEqual(record[0]["IlsUpdatedTimestamp"]["Day"], "21") self.assertEqual(record[1].attributes["DataCreationMethod"], "P") self.assertEqual(record[1]["NlmUniqueID"], "100939625") self.assertEqual(record[1]["Title"], "AIHAJ : a journal for the science of occupational and environmental\nhealth and safety") self.assertEqual(record[1]["MedlineTA"], "AIHAJ") self.assertEqual(len(record[1]["PublicationInfo"]), 9) self.assertEqual(record[1]["PublicationInfo"]["Country"], "United States") self.assertEqual(record[1]["PublicationInfo"]["Place"], ["Fairfax, VA :"]) self.assertEqual(record[1]["PublicationInfo"]["Publisher"], ["American Industrial Hygiene Association,"]) self.assertEqual(record[1]["PublicationInfo"]["PublicationFirstYear"], "2000") self.assertEqual(record[1]["PublicationInfo"]["PublicationEndYear"], "2001") self.assertEqual(record[1]["PublicationInfo"]["Frequency"], ["Bimonthly"]) self.assertEqual(record[1]["PublicationInfo"]["Imprint"], []) self.assertEqual(record[1]["PublicationInfo"]["DateIssued"], []) self.assertEqual(record[1]["PublicationInfo"]["DatesOfSerialPublication"], []) self.assertEqual(record[1]["ISSN"], ["1529-8663"]) self.assertEqual(record[1]["ISSN"][0].attributes["IssnType"], "Print") self.assertEqual(record[1]["Language"], ["eng"]) self.assertEqual(record[1]["AcidFreeYN"], "N") self.assertEqual(record[1]["ContinuationNotes"], "Continues: American Industrial Hygiene Association\njournal. Continued by: AIHA journal. ") self.assertEqual(record[1]["MinorTitleChangeYN"], "N") self.assertEqual(len(record[1]["IndexingHistoryList"]), 2) self.assertEqual(record[1]["IndexingHistoryList"][0].attributes["CitationSubset"], "IM") self.assertEqual(record[1]["IndexingHistoryList"][0].attributes["IndexingTreatment"], "Full") self.assertEqual(record[1]["IndexingHistoryList"][0].attributes["IndexingStatus"], "Continued-by-another-indexed-title") self.assertEqual(record[1]["IndexingHistoryList"][0]["DateOfAction"]["Year"], "2002") self.assertEqual(record[1]["IndexingHistoryList"][0]["DateOfAction"]["Month"], "06") self.assertEqual(record[1]["IndexingHistoryList"][0]["DateOfAction"]["Day"], "03") self.assertEqual(record[1]["IndexingHistoryList"][1].attributes["CitationSubset"], "IM") self.assertEqual(record[1]["IndexingHistoryList"][1].attributes["IndexingTreatment"], "Full") self.assertEqual(record[1]["IndexingHistoryList"][1].attributes["IndexingStatus"], "Currently-indexed-Title-changed") self.assertEqual(record[1]["IndexingHistoryList"][1]["DateOfAction"]["Year"], "2000") self.assertEqual(record[1]["IndexingHistoryList"][1]["DateOfAction"]["Month"], "03") self.assertEqual(record[1]["IndexingHistoryList"][1]["DateOfAction"]["Day"], "24") self.assertEqual(record[1]["IndexingHistoryList"][1]["Coverage"], "v61n1,Jan./Feb. 2000-v62n6,Nov./Dec. 2001") self.assertEqual(record[1]["CurrentlyIndexedYN"], "N") self.assertEqual(record[1]["IndexOnlineYN"], "N") self.assertEqual(record[1]["IndexingSubset"], "IM") self.assertEqual(record[1]["BroadJournalHeadingList"][0], "Occupational Medicine") self.assertEqual(len(record[1]["CrossReferenceList"]), 2) self.assertEqual(record[1]["CrossReferenceList"][0]["XrTitle"], "AIHAJ :") self.assertEqual(record[1]["CrossReferenceList"][0].attributes["XrType"], "A") self.assertEqual(record[1]["CrossReferenceList"][1]["XrTitle"], "American Industrial Hygiene Association journal") self.assertEqual(record[1]["CrossReferenceList"][1].attributes["XrType"], "X") self.assertEqual(record[1]["SortSerialName"], "AIHAJ : A JOURNAL FOR THE SCIENCE OF OCCUPATIONAL AND\nENVIRONMENTAL HEALTH AND SAFETY") self.assertEqual(record[1]["IlsCreatedTimestamp"]["Year"], "2000") self.assertEqual(record[1]["IlsCreatedTimestamp"]["Month"], "03") self.assertEqual(record[1]["IlsCreatedTimestamp"]["Day"], "22") self.assertEqual(record[1]["IlsUpdatedTimestamp"]["Year"], "2005") self.assertEqual(record[1]["IlsUpdatedTimestamp"]["Month"], "11") self.assertEqual(record[1]["IlsUpdatedTimestamp"]["Day"], "20") self.assertEqual(record[2].attributes["DataCreationMethod"], "P") self.assertEqual(record[2]["NlmUniqueID"], "8403252") self.assertEqual(record[2]["Title"], "Acta crystallographica. Section B, Structural science") self.assertEqual(record[2]["MedlineTA"], "Acta Crystallogr B") self.assertEqual(len(record[2]["PublicationInfo"]), 8) self.assertEqual(record[2]["PublicationInfo"]["Country"], "Denmark") self.assertEqual(record[2]["PublicationInfo"]["Place"], ["Copenhagen"]) self.assertEqual(record[2]["PublicationInfo"]["Publisher"], ["Munksgaard International Publishers For The International\nUnion Of Crystallography"]) self.assertEqual(record[2]["PublicationInfo"]["PublicationFirstYear"], "1983") self.assertEqual(record[2]["PublicationInfo"]["Frequency"], ["Bimonthly"]) self.assertEqual(record[2]["PublicationInfo"]["Imprint"], []) self.assertEqual(record[2]["PublicationInfo"]["DateIssued"], []) self.assertEqual(record[2]["PublicationInfo"]["DatesOfSerialPublication"], []) self.assertEqual(len(record[2]["ISSN"]), 2) self.assertEqual(record[2]["ISSN"][0], "0108-7681") self.assertEqual(record[2]["ISSN"][0].attributes["IssnType"], "Print") self.assertEqual(record[2]["ISSN"][1], "1600-5740") self.assertEqual(record[2]["ISSN"][1].attributes["IssnType"], "Electronic") self.assertEqual(record[2]["ISOAbbreviation"], "Acta Crystallogr., B") self.assertEqual(record[2]["Language"], ["eng", "fre", "ger"]) self.assertEqual(record[2]["AcidFreeYN"], "N") self.assertEqual(record[2]["Coden"], "ASBSDK") self.assertEqual(record[2]["ContinuationNotes"], "Continues: Acta crystallographica. Section B, Structural\ncrystallography and crystal chemistry. ") self.assertEqual(record[2]["MinorTitleChangeYN"], "N") self.assertEqual(len(record[2]["IndexingHistoryList"]), 1) self.assertEqual(record[2]["IndexingHistoryList"][0].attributes["CitationSubset"], "IM") self.assertEqual(record[2]["IndexingHistoryList"][0].attributes["IndexingTreatment"], "Selective") self.assertEqual(record[2]["IndexingHistoryList"][0].attributes["IndexingStatus"], "Currently-indexed") self.assertEqual(record[2]["IndexingHistoryList"][0]["DateOfAction"]["Year"], "1989") self.assertEqual(record[2]["IndexingHistoryList"][0]["DateOfAction"]["Month"], "11") self.assertEqual(record[2]["IndexingHistoryList"][0]["DateOfAction"]["Day"], "06") self.assertEqual(record[2]["IndexingHistoryList"][0]["Coverage"], "v44n1, 1988-") self.assertEqual(record[2]["CurrentlyIndexedYN"], "Y") self.assertEqual(record[2]["CurrentlyIndexedForSubset"], [""]) self.assertEqual(record[2]["CurrentlyIndexedForSubset"][0].attributes["CurrentSubset"], "IM") self.assertEqual(record[2]["CurrentlyIndexedForSubset"][0].attributes["CurrentIndexingTreatment"], "Selective") self.assertEqual(record[2]["IndexOnlineYN"], "Y") self.assertEqual(record[2]["IndexingSubset"], "IM") self.assertEqual(record[2]["BroadJournalHeadingList"][0], "Chemistry, Analytical") self.assertEqual(len(record[2]["CrossReferenceList"]), 4) self.assertEqual(record[2]["CrossReferenceList"][0]["XrTitle"], "ACTA CRYSTALLOGR B") self.assertEqual(record[2]["CrossReferenceList"][0].attributes["XrType"], "A") self.assertEqual(record[2]["CrossReferenceList"][1]["XrTitle"], "Acta Crystallogr.,Sect.B") self.assertEqual(record[2]["CrossReferenceList"][1].attributes["XrType"], "A") self.assertEqual(record[2]["CrossReferenceList"][2]["XrTitle"], "Acta crystallographica. Section B, Structural\nscience.") self.assertEqual(record[2]["CrossReferenceList"][2].attributes["XrType"], "A") self.assertEqual(record[2]["CrossReferenceList"][3]["XrTitle"], "Structural science") self.assertEqual(record[2]["CrossReferenceList"][3].attributes["XrType"], "X") self.assertEqual(record[2]["SortSerialName"], "ACTA CRYSTALLOGRAPHICA. SECTION B, STRUCTURAL\nSCIENCE") self.assertEqual(record[2]["IlsCreatedTimestamp"]["Year"], "1998") self.assertEqual(record[2]["IlsCreatedTimestamp"]["Month"], "11") self.assertEqual(record[2]["IlsCreatedTimestamp"]["Day"], "05") self.assertEqual(record[2]["IlsUpdatedTimestamp"]["Year"], "2008") self.assertEqual(record[2]["IlsUpdatedTimestamp"]["Month"], "10") self.assertEqual(record[2]["IlsUpdatedTimestamp"]["Day"], "15") def test_omim(self): '''Test parsing XML returned by EFetch, OMIM database ''' # In OMIM show the full record for MIM number 601100 as XML # To create the XML file, use # >>> Bio.Entrez.efetch(db="omim", id="601100", retmode='xml', # rettype='full') input = open('Entrez/ncbi_mim.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["Mim-entry_mimNumber"], "601100") self.assertEqual(record[0]["Mim-entry_mimType"], "1") self.assertEqual(record[0]["Mim-entry_mimType"].attributes["value"], "star") self.assertEqual(record[0]["Mim-entry_title"], "STRESS 70 PROTEIN CHAPERONE, MICROSOME-ASSOCIATED, 60-KD; STCH") self.assertEqual(record[0]["Mim-entry_copyright"], "Copyright (c) 1966-2008 Johns Hopkins University") self.assertEqual(record[0]["Mim-entry_symbol"], "STCH") self.assertEqual(record[0]["Mim-entry_locus"], "21q11.1") self.assertEqual(len(record[0]["Mim-entry_text"]), 2) self.assertEqual(record[0]["Mim-entry_text"][0]["Mim-text_label"], "TEXT") self.assertEqual(record[0]["Mim-entry_text"][0]["Mim-text_text"], "The stress-70 chaperone family consists of proteins that bind to denatured or incorrectly folded polypeptides and play a major role in the processing of cytosolic and secretory proteins. {2:Otterson et al. (1994)} cloned a human cDNA encoding a predicted 471-amino acid protein (60 kD) which they designated STCH. {1:Brodsky et al. (1995)} stated that the protein sequence is very similar to that of HSP70 ({140550}) and BiP ({138120}). As with other members of the family, the STCH protein contains an ATPase domain at the amino terminus whose activity was shown to be independent of peptide stimulation. The protein was found to be microsome-associated and constitutively expressed in all cell types examined.") self.assertEqual(len(record[0]["Mim-entry_text"][0]["Mim-text_neighbors"]), 1) self.assertEqual(record[0]["Mim-entry_text"][0]["Mim-text_neighbors"]["Mim-link"]["Mim-link_num"], "30") self.assertEqual(record[0]["Mim-entry_text"][0]["Mim-text_neighbors"]["Mim-link"]["Mim-link_uids"], "8131751,9358068,10675567,9488737,8757872,11048651,2559088,10982831,2105497,16572726,9083109,17181539,14508011,15028727,10651811,9108392,11599566,2661019,11836248,7594475,12406544,8536694,12389629,10430932,9177027,9837933,8522346,2928112,12834280,8702658") self.assertEqual(record[0]["Mim-entry_text"][0]["Mim-text_neighbors"]["Mim-link"]["Mim-link_numRelevant"], "0") self.assertEqual(record[0]["Mim-entry_text"][1]["Mim-text_label"], "TEXT") self.assertEqual(record[0]["Mim-entry_text"][1]["Mim-text_text"], "{1:Brodsky et al. (1995)} mapped the STCH gene to chromosome 21q11.1 with a high-resolution somatic cell hybrid panel for chromosome 21 and by fluorescence in situ hybridization with a YAC containing the gene. By interspecific backcross analysis, {3:Reeves et al. (1998)} mapped the mouse Stch gene to chromosome 16.") self.assertEqual(len(record[0]["Mim-entry_text"][1]["Mim-text_neighbors"]), 1) self.assertEqual(record[0]["Mim-entry_text"][1]["Mim-text_neighbors"]["Mim-link"]["Mim-link_num"], "30") self.assertEqual(record[0]["Mim-entry_text"][1]["Mim-text_neighbors"]["Mim-link"]["Mim-link_uids"], "1354597,8244375,8597637,8838809,9143508,1427875,7806216,9852683,7835904,11060461,10083745,7789175,7806232,7513297,8020937,12014109,1769649,2045096,9747039,8034329,8088815,1783375,8275716,8020959,7956352,8020952,10198174,7655454,8750197,11272792") self.assertEqual(record[0]["Mim-entry_text"][1]["Mim-text_neighbors"]["Mim-link"]["Mim-link_numRelevant"], "0") self.assertEqual(record[0]["Mim-entry_hasSummary"], "") self.assertEqual(record[0]["Mim-entry_hasSummary"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_hasSynopsis"], "") self.assertEqual(record[0]["Mim-entry_hasSynopsis"].attributes["value"], "false") self.assertEqual(len(record[0]["Mim-entry_editHistory"]), 6) self.assertEqual(record[0]["Mim-entry_editHistory"][0]["Mim-edit-item_author"], "terry") self.assertEqual(record[0]["Mim-entry_editHistory"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1999") self.assertEqual(record[0]["Mim-entry_editHistory"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_editHistory"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "9") self.assertEqual(record[0]["Mim-entry_editHistory"][1]["Mim-edit-item_author"], "carol") self.assertEqual(record[0]["Mim-entry_editHistory"][1]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1999") self.assertEqual(record[0]["Mim-entry_editHistory"][1]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_editHistory"][1]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "7") self.assertEqual(record[0]["Mim-entry_editHistory"][2]["Mim-edit-item_author"], "carol") self.assertEqual(record[0]["Mim-entry_editHistory"][2]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1998") self.assertEqual(record[0]["Mim-entry_editHistory"][2]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "7") self.assertEqual(record[0]["Mim-entry_editHistory"][2]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "8") self.assertEqual(record[0]["Mim-entry_editHistory"][3]["Mim-edit-item_author"], "terry") self.assertEqual(record[0]["Mim-entry_editHistory"][3]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1996") self.assertEqual(record[0]["Mim-entry_editHistory"][3]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "5") self.assertEqual(record[0]["Mim-entry_editHistory"][3]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "24") self.assertEqual(record[0]["Mim-entry_editHistory"][4]["Mim-edit-item_author"], "mark") self.assertEqual(record[0]["Mim-entry_editHistory"][4]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1996") self.assertEqual(record[0]["Mim-entry_editHistory"][4]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_editHistory"][4]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "1") self.assertEqual(record[0]["Mim-entry_editHistory"][5]["Mim-edit-item_author"], "mark") self.assertEqual(record[0]["Mim-entry_editHistory"][5]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1996") self.assertEqual(record[0]["Mim-entry_editHistory"][5]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_editHistory"][5]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "1") self.assertEqual(record[0]["Mim-entry_creationDate"]["Mim-edit-item"]["Mim-edit-item_author"], "Alan F. Scott") self.assertEqual(record[0]["Mim-entry_creationDate"]["Mim-edit-item"]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1996") self.assertEqual(record[0]["Mim-entry_creationDate"]["Mim-edit-item"]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_creationDate"]["Mim-edit-item"]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "1") self.assertEqual(len(record[0]["Mim-entry_references"]), 3) self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_number"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_origNumber"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_type"], "") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_type"].attributes["value"], "citation") self.assertEqual(len(record[0]["Mim-entry_references"][0]["Mim-reference_authors"]), 6) self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][0]["Mim-author_name"], "Brodsky, G.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][0]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][1]["Mim-author_name"], "Otterson, G. A.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][1]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][2]["Mim-author_name"], "Parry, B. B.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][2]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][3]["Mim-author_name"], "Hart, I.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][3]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][4]["Mim-author_name"], "Patterson, D.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][4]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][5]["Mim-author_name"], "Kaye, F. J.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_authors"][5]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_primaryAuthor"], "Brodsky") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_otherAuthors"], "et al.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_citationTitle"], "Localization of STCH to human chromosome 21q11.1.") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_citationType"], "0") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_volume"], "30") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_journal"], "Genomics") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_year"], "1995") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_month"], "0") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_day"], "0") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pages"][0]["Mim-page_from"], "627") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pages"][0]["Mim-page_to"], "628") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_pubmedUID"], "8825657") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_ambiguous"], "") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_ambiguous"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_noLink"], "") self.assertEqual(record[0]["Mim-entry_references"][0]["Mim-reference_noLink"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_number"], "2") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_origNumber"], "2") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_type"], "") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_type"].attributes["value"], "citation") self.assertEqual(len(record[0]["Mim-entry_references"][1]["Mim-reference_authors"]), 6) self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][0]["Mim-author_name"], "Otterson, G. A.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][0]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][1]["Mim-author_name"], "Flynn, G. C.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][1]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][2]["Mim-author_name"], "Kratzke, R. A.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][2]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][3]["Mim-author_name"], "Coxon, A.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][3]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][4]["Mim-author_name"], "Johnston, P. G.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][4]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][5]["Mim-author_name"], "Kaye, F. J.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_authors"][5]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_primaryAuthor"], "Otterson") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_otherAuthors"], "et al.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_citationTitle"], "Stch encodes the 'ATPase core' of a microsomal stress70 protein.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_citationType"], "0") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_volume"], "13") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_journal"], "EMBO J.") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_year"], "1994") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_month"], "0") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_day"], "0") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pages"][0]["Mim-page_from"], "1216") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pages"][0]["Mim-page_to"], "1225") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_pubmedUID"], "8131751") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_ambiguous"], "") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_ambiguous"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_noLink"], "") self.assertEqual(record[0]["Mim-entry_references"][1]["Mim-reference_noLink"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_number"], "3") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_origNumber"], "3") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_type"], "") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_type"].attributes["value"], "citation") self.assertEqual(len(record[0]["Mim-entry_references"][2]["Mim-reference_authors"]), 4) self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][0]["Mim-author_name"], "Reeves, R. H.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][0]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][1]["Mim-author_name"], "Rue, E.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][1]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][2]["Mim-author_name"], "Yu, J.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][2]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][3]["Mim-author_name"], "Kao, F.-T.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_authors"][3]["Mim-author_index"], "1") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_primaryAuthor"], "Reeves") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_otherAuthors"], "et al.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_citationTitle"], "Stch maps to mouse chromosome 16, extending the conserved synteny with human chromosome 21.") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_citationType"], "0") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_volume"], "49") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_journal"], "Genomics") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_year"], "1998") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_month"], "0") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pubDate"]["Mim-date"]["Mim-date_day"], "0") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pages"][0]["Mim-page_from"], "156") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pages"][0]["Mim-page_to"], "157") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_pubmedUID"], "9570963") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_ambiguous"], "") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_ambiguous"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_noLink"], "") self.assertEqual(record[0]["Mim-entry_references"][2]["Mim-reference_noLink"].attributes["value"], "false") self.assertEqual(record[0]["Mim-entry_attribution"][0]["Mim-edit-item_author"], "Carol A. Bocchini - updated") self.assertEqual(record[0]["Mim-entry_attribution"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_year"], "1999") self.assertEqual(record[0]["Mim-entry_attribution"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_month"], "3") self.assertEqual(record[0]["Mim-entry_attribution"][0]["Mim-edit-item_modDate"]["Mim-date"]["Mim-date_day"], "7") self.assertEqual(record[0]["Mim-entry_numGeneMaps"], "1") self.assertEqual(len(record[0]["Mim-entry_medlineLinks"]), 1) self.assertEqual(record[0]["Mim-entry_medlineLinks"]["Mim-link"]["Mim-link_num"], "3") self.assertEqual(record[0]["Mim-entry_medlineLinks"]["Mim-link"]["Mim-link_uids"], "8825657,8131751,9570963") self.assertEqual(record[0]["Mim-entry_medlineLinks"]["Mim-link"]["Mim-link_numRelevant"], "0") self.assertEqual(len(record[0]["Mim-entry_proteinLinks"]), 1) self.assertEqual(record[0]["Mim-entry_proteinLinks"]["Mim-link"]["Mim-link_num"], "7") self.assertEqual(record[0]["Mim-entry_proteinLinks"]["Mim-link"]["Mim-link_uids"], "148747550,67461586,48928056,30089677,2352621,1351125,460148") self.assertEqual(record[0]["Mim-entry_proteinLinks"]["Mim-link"]["Mim-link_numRelevant"], "0") self.assertEqual(len(record[0]["Mim-entry_nucleotideLinks"]), 1) self.assertEqual(record[0]["Mim-entry_nucleotideLinks"]["Mim-link"]["Mim-link_num"], "5") self.assertEqual(record[0]["Mim-entry_nucleotideLinks"]["Mim-link"]["Mim-link_uids"], "148747549,55741785,48928055,2352620,460147") self.assertEqual(record[0]["Mim-entry_nucleotideLinks"]["Mim-link"]["Mim-link_numRelevant"], "0") def test_taxonomy(self): '''Test parsing XML returned by EFetch, Taxonomy database ''' # Access the Taxonomy database using efetch. # To create the XML file, use # >>> Bio.Entrez.efetch(db="taxonomy", id="9685", retmode="xml") input = open('Entrez/taxonomy.xml') record = Entrez.read(input) self.assertEqual(len(record), 1) self.assertEqual(record[0]["TaxId"], "9685") self.assertEqual(record[0]["ScientificName"], "Felis catus") self.assertEqual(record[0]["OtherNames"]["GenbankCommonName"], "domestic cat") self.assertEqual(record[0]["OtherNames"]["Synonym"][0], "Felis silvestris catus") self.assertEqual(record[0]["OtherNames"]["Synonym"][1], "Felis domesticus") self.assertEqual(record[0]["OtherNames"]["CommonName"][0], "cat") self.assertEqual(record[0]["OtherNames"]["CommonName"][1], "cats") self.assertEqual(record[0]["OtherNames"]["Includes"][0], "Korat cats") self.assertEqual(record[0]["ParentTaxId"], "9682") self.assertEqual(record[0]["Rank"], "species") self.assertEqual(record[0]["Division"], "Mammals") self.assertEqual(record[0]["GeneticCode"]["GCId"], "1") self.assertEqual(record[0]["GeneticCode"]["GCName"], "Standard") self.assertEqual(record[0]["MitoGeneticCode"]["MGCId"], "2") self.assertEqual(record[0]["MitoGeneticCode"]["MGCName"], "Vertebrate Mitochondrial") self.assertEqual(record[0]["Lineage"], "cellular organisms; Eukaryota; Fungi/Metazoa group; Metazoa; Eumetazoa; Bilateria; Coelomata; Deuterostomia; Chordata; Craniata; Vertebrata; Gnathostomata; Teleostomi; Euteleostomi; Sarcopterygii; Tetrapoda; Amniota; Mammalia; Theria; Eutheria; Laurasiatheria; Carnivora; Feliformia; Felidae; Felinae; Felis") self.assertEqual(record[0]["LineageEx"][0]["TaxId"], "131567") self.assertEqual(record[0]["LineageEx"][0]["ScientificName"], "cellular organisms") self.assertEqual(record[0]["LineageEx"][0]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][1]["TaxId"], "2759") self.assertEqual(record[0]["LineageEx"][1]["ScientificName"], "Eukaryota") self.assertEqual(record[0]["LineageEx"][1]["Rank"], "superkingdom") self.assertEqual(record[0]["LineageEx"][2]["TaxId"], "33154") self.assertEqual(record[0]["LineageEx"][2]["ScientificName"], "Fungi/Metazoa group") self.assertEqual(record[0]["LineageEx"][2]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][3]["TaxId"], "33208") self.assertEqual(record[0]["LineageEx"][3]["ScientificName"], "Metazoa") self.assertEqual(record[0]["LineageEx"][3]["Rank"], "kingdom") self.assertEqual(record[0]["LineageEx"][4]["TaxId"], "6072") self.assertEqual(record[0]["LineageEx"][4]["ScientificName"], "Eumetazoa") self.assertEqual(record[0]["LineageEx"][4]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][5]["TaxId"], "33213") self.assertEqual(record[0]["LineageEx"][5]["ScientificName"], "Bilateria") self.assertEqual(record[0]["LineageEx"][5]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][6]["TaxId"], "33316") self.assertEqual(record[0]["LineageEx"][6]["ScientificName"], "Coelomata") self.assertEqual(record[0]["LineageEx"][6]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][7]["TaxId"], "33511") self.assertEqual(record[0]["LineageEx"][7]["ScientificName"], "Deuterostomia") self.assertEqual(record[0]["LineageEx"][7]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][8]["TaxId"], "7711") self.assertEqual(record[0]["LineageEx"][8]["ScientificName"], "Chordata") self.assertEqual(record[0]["LineageEx"][8]["Rank"], "phylum") self.assertEqual(record[0]["LineageEx"][9]["TaxId"], "89593") self.assertEqual(record[0]["LineageEx"][9]["ScientificName"], "Craniata") self.assertEqual(record[0]["LineageEx"][9]["Rank"], "subphylum") self.assertEqual(record[0]["LineageEx"][10]["TaxId"], "7742") self.assertEqual(record[0]["LineageEx"][10]["ScientificName"], "Vertebrata") self.assertEqual(record[0]["LineageEx"][10]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][11]["TaxId"], "7776") self.assertEqual(record[0]["LineageEx"][11]["ScientificName"], "Gnathostomata") self.assertEqual(record[0]["LineageEx"][11]["Rank"], "superclass") self.assertEqual(record[0]["LineageEx"][12]["TaxId"], "117570") self.assertEqual(record[0]["LineageEx"][12]["ScientificName"], "Teleostomi") self.assertEqual(record[0]["LineageEx"][12]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][13]["TaxId"], "117571") self.assertEqual(record[0]["LineageEx"][13]["ScientificName"], "Euteleostomi") self.assertEqual(record[0]["LineageEx"][13]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][14]["TaxId"], "8287") self.assertEqual(record[0]["LineageEx"][14]["ScientificName"], "Sarcopterygii") self.assertEqual(record[0]["LineageEx"][14]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][15]["TaxId"], "32523") self.assertEqual(record[0]["LineageEx"][15]["ScientificName"], "Tetrapoda") self.assertEqual(record[0]["LineageEx"][15]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][16]["TaxId"], "32524") self.assertEqual(record[0]["LineageEx"][16]["ScientificName"], "Amniota") self.assertEqual(record[0]["LineageEx"][16]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][17]["TaxId"], "40674") self.assertEqual(record[0]["LineageEx"][17]["ScientificName"], "Mammalia") self.assertEqual(record[0]["LineageEx"][17]["Rank"], "class") self.assertEqual(record[0]["LineageEx"][18]["TaxId"], "32525") self.assertEqual(record[0]["LineageEx"][18]["ScientificName"], "Theria") self.assertEqual(record[0]["LineageEx"][18]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][19]["TaxId"], "9347") self.assertEqual(record[0]["LineageEx"][19]["ScientificName"], "Eutheria") self.assertEqual(record[0]["LineageEx"][19]["Rank"], "no rank") self.assertEqual(record[0]["LineageEx"][20]["TaxId"], "314145") self.assertEqual(record[0]["LineageEx"][20]["ScientificName"], "Laurasiatheria") self.assertEqual(record[0]["LineageEx"][20]["Rank"], "superorder") self.assertEqual(record[0]["LineageEx"][21]["TaxId"], "33554") self.assertEqual(record[0]["LineageEx"][21]["ScientificName"], "Carnivora") self.assertEqual(record[0]["LineageEx"][21]["Rank"], "order") self.assertEqual(record[0]["LineageEx"][22]["TaxId"], "379583") self.assertEqual(record[0]["LineageEx"][22]["ScientificName"], "Feliformia") self.assertEqual(record[0]["LineageEx"][22]["Rank"], "suborder") self.assertEqual(record[0]["LineageEx"][23]["TaxId"], "9681") self.assertEqual(record[0]["LineageEx"][23]["ScientificName"], "Felidae") self.assertEqual(record[0]["LineageEx"][23]["Rank"], "family") self.assertEqual(record[0]["LineageEx"][24]["TaxId"], "338152") self.assertEqual(record[0]["LineageEx"][24]["ScientificName"], "Felinae") self.assertEqual(record[0]["LineageEx"][24]["Rank"], "subfamily") self.assertEqual(record[0]["LineageEx"][25]["TaxId"], "9682") self.assertEqual(record[0]["LineageEx"][25]["ScientificName"], "Felis") self.assertEqual(record[0]["LineageEx"][25]["Rank"], "genus") self.assertEqual(record[0]["CreateDate"], "1995/02/27") self.assertEqual(record[0]["UpdateDate"], "2007/09/04") self.assertEqual(record[0]["PubDate"], "1993/07/26") def test_nucleotide1(self): '''Test parsing XML returned by EFetch, Nucleotide database (first test) ''' # Access the nucleotide database using efetch. # To create the XML file, use # >>> Bio.Entrez.efetch(db='nucleotide', id=5, retmode='xml') input = open('Entrez/nucleotide1.xml') record = Entrez.read(input) self.assertEqual(record[0]["GBSeq_locus"], "X60065") self.assertEqual(record[0]["GBSeq_length"], "1136") self.assertEqual(record[0]["GBSeq_strandedness"], "single") self.assertEqual(record[0]["GBSeq_moltype"], "mRNA") self.assertEqual(record[0]["GBSeq_topology"], "linear") self.assertEqual(record[0]["GBSeq_division"], "MAM") self.assertEqual(record[0]["GBSeq_update-date"], "14-NOV-2006") self.assertEqual(record[0]["GBSeq_create-date"], "05-MAY-1992") self.assertEqual(record[0]["GBSeq_definition"], "B.bovis beta-2-gpI mRNA for beta-2-glycoprotein I") self.assertEqual(record[0]["GBSeq_primary-accession"], "X60065") self.assertEqual(record[0]["GBSeq_accession-version"], "X60065.1") self.assertEqual(record[0]["GBSeq_other-seqids"][0], "emb|X60065.1|") self.assertEqual(record[0]["GBSeq_other-seqids"][1], "gi|5") self.assertEqual(record[0]["GBSeq_keywords"][0], "beta-2 glycoprotein I") self.assertEqual(record[0]["GBSeq_source"], "Bos taurus (cattle)") self.assertEqual(record[0]["GBSeq_organism"], "Bos taurus") self.assertEqual(record[0]["GBSeq_taxonomy"], "Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Laurasiatheria; Cetartiodactyla; Ruminantia; Pecora; Bovidae; Bovinae; Bos") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_reference"], "1") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][0], "Bendixen,E.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][1], "Halkier,T.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][2], "Magnusson,S.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][3], "Sottrup-Jensen,L.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][4], "Kristensen,T.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_title"], "Complete primary structure of bovine beta 2-glycoprotein I: localization of the disulfide bridges") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_journal"], "Biochemistry 31 (14), 3611-3617 (1992)") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_pubmed"], "1567819") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_reference"], "2") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_position"], "1..1136") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_authors"][0], "Kristensen,T.") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_title"], "Direct Submission") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_journal"], "Submitted (11-JUN-1991) T. Kristensen, Dept of Mol Biology, University of Aarhus, C F Mollers Alle 130, DK-8000 Aarhus C, DENMARK") self.assertEqual(len(record[0]["GBSeq_feature-table"]), 7) self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_key"], "source") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_location"], "1..1136") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_to"], "1136") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][0]["GBQualifier_name"], "organism") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][0]["GBQualifier_value"], "Bos taurus") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][1]["GBQualifier_name"], "mol_type") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][1]["GBQualifier_value"], "mRNA") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][2]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][2]["GBQualifier_value"], "taxon:9913") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][3]["GBQualifier_name"], "clone") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][3]["GBQualifier_value"], "pBB2I") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][4]["GBQualifier_name"], "tissue_type") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][4]["GBQualifier_value"], "liver") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_key"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_location"], "<1..1136") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_to"], "1136") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_partial5"], "") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_partial5"].attributes["value"], "true") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_key"], "CDS") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_location"], "<1..1029") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_to"], "1029") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_partial5"], "") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_partial5"].attributes["value"], "true") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][1]["GBQualifier_name"], "codon_start") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][1]["GBQualifier_value"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][2]["GBQualifier_name"], "transl_table") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][2]["GBQualifier_value"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][3]["GBQualifier_name"], "product") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][3]["GBQualifier_value"], "beta-2-glycoprotein I") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][4]["GBQualifier_name"], "protein_id") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][4]["GBQualifier_value"], "CAA42669.1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][5]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][5]["GBQualifier_value"], "GI:6") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][6]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][6]["GBQualifier_value"], "GOA:P17690") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][7]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][7]["GBQualifier_value"], "UniProtKB/Swiss-Prot:P17690") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][8]["GBQualifier_name"], "translation") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][8]["GBQualifier_value"], "PALVLLLGFLCHVAIAGRTCPKPDELPFSTVVPLKRTYEPGEQIVFSCQPGYVSRGGIRRFTCPLTGLWPINTLKCMPRVCPFAGILENGTVRYTTFEYPNTISFSCHTGFYLKGASSAKCTEEGKWSPDLPVCAPITCPPPPIPKFASLSVYKPLAGNNSFYGSKAVFKCLPHHAMFGNDTVTCTEHGNWTQLPECREVRCPFPSRPDNGFVNHPANPVLYYKDTATFGCHETYSLDGPEEVECSKFGNWSAQPSCKASCKLSIKRATVIYEGERVAIQNKFKNGMLHGQKVSFFCKHKEKKCSYTEDAQCIDGTIEIPKCFKEHSSLAFWKTDASDVKPC") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_key"], "sig_peptide") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_location"], "<1..48") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_to"], "48") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_partial5"], "") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_partial5"].attributes["value"], "true") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_key"], "mat_peptide") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_location"], "49..1026") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_intervals"][0]["GBInterval_from"], "49") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_intervals"][0]["GBInterval_to"], "1026") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_quals"][1]["GBQualifier_name"], "product") self.assertEqual(record[0]["GBSeq_feature-table"][4]["GBFeature_quals"][1]["GBQualifier_value"], "beta-2-glycoprotein I") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_key"], "polyA_signal") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_location"], "1101..1106") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_intervals"][0]["GBInterval_from"], "1101") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_intervals"][0]["GBInterval_to"], "1106") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][5]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_key"], "polyA_site") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_location"], "1130") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_intervals"][0]["GBInterval_point"], "1130") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_intervals"][0]["GBInterval_accession"], "X60065.1") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_quals"][0]["GBQualifier_name"], "gene") self.assertEqual(record[0]["GBSeq_feature-table"][6]["GBFeature_quals"][0]["GBQualifier_value"], "beta-2-gpI") self.assertEqual(record[0]["GBSeq_sequence"], "ccagcgctcgtcttgctgttggggtttctctgccacgttgctatcgcaggacgaacctgccccaagccagatgagctaccgttttccacggtggttccactgaaacggacctatgagcccggggagcagatagtcttctcctgccagccgggctacgtgtcccggggagggatccggcggtttacatgcccgctcacaggactctggcccatcaacacgctgaaatgcatgcccagagtatgtccttttgctgggatcttagaaaacggaacggtacgctatacaacgtttgagtatcccaacaccatcagcttttcttgccacacggggttttatctgaaaggagctagttctgcaaaatgcactgaggaagggaagtggagcccagaccttcctgtctgtgcccctataacctgccctccaccacccatacccaagtttgcaagtctcagcgtttacaagccgttggctgggaacaactccttctatggcagcaaggcagtctttaagtgcttgccacaccacgcgatgtttggaaatgacaccgttacctgcacggaacatgggaactggacgcagttgccagaatgcagggaagtaagatgcccattcccatcaagaccagacaatgggtttgtgaaccatcctgcaaatccagtgctctactataaggacaccgccacctttggctgccatgaaacgtattccttggatggaccggaagaagtagaatgcagcaaattcggaaactggtctgcacagccaagctgtaaagcatcttgtaagttatctattaaaagagctactgtgatatatgaaggagagagagtagctatccagaacaaatttaagaatggaatgctgcatggccaaaaggtttctttcttctgcaagcataaggaaaagaagtgcagctacacagaagatgctcagtgcatagacggcaccatcgagattcccaaatgcttcaaggagcacagttctttagctttctggaaaacggatgcatctgacgtaaaaccatgctaagctggttttcacactgaaaattaaatgtcatgcttatatgtgtctgtctgagaatctgatggaaacggaaaaataaagagactgaatttaccgtgtcaagaaaaaaa") def test_nucleotide2(self): '''Test parsing XML returned by EFetch, Nucleotide database (second test) ''' # Access the nucleotide database using efetch. # To create the XML file, use # >>> Bio.handle = Entrez.efetch(db='nucleotide', id=5, # rettype='fasta', complexity=0, # retmode='xml') input = open('Entrez/nucleotide2.xml') record = Entrez.read(input) self.assertEqual(record[0]["TSeq_seqtype"], "") self.assertEqual(record[0]["TSeq_seqtype"].attributes["value"], "nucleotide") self.assertEqual(record[0]["TSeq_gi"], "5") self.assertEqual(record[0]["TSeq_accver"], "X60065.1") self.assertEqual(record[0]["TSeq_taxid"], "9913") self.assertEqual(record[0]["TSeq_orgname"], "Bos taurus") self.assertEqual(record[0]["TSeq_defline"], "B.bovis beta-2-gpI mRNA for beta-2-glycoprotein I") self.assertEqual(record[0]["TSeq_length"], "1136") self.assertEqual(record[0]["TSeq_sequence"], "CCAGCGCTCGTCTTGCTGTTGGGGTTTCTCTGCCACGTTGCTATCGCAGGACGAACCTGCCCCAAGCCAGATGAGCTACCGTTTTCCACGGTGGTTCCACTGAAACGGACCTATGAGCCCGGGGAGCAGATAGTCTTCTCCTGCCAGCCGGGCTACGTGTCCCGGGGAGGGATCCGGCGGTTTACATGCCCGCTCACAGGACTCTGGCCCATCAACACGCTGAAATGCATGCCCAGAGTATGTCCTTTTGCTGGGATCTTAGAAAACGGAACGGTACGCTATACAACGTTTGAGTATCCCAACACCATCAGCTTTTCTTGCCACACGGGGTTTTATCTGAAAGGAGCTAGTTCTGCAAAATGCACTGAGGAAGGGAAGTGGAGCCCAGACCTTCCTGTCTGTGCCCCTATAACCTGCCCTCCACCACCCATACCCAAGTTTGCAAGTCTCAGCGTTTACAAGCCGTTGGCTGGGAACAACTCCTTCTATGGCAGCAAGGCAGTCTTTAAGTGCTTGCCACACCACGCGATGTTTGGAAATGACACCGTTACCTGCACGGAACATGGGAACTGGACGCAGTTGCCAGAATGCAGGGAAGTAAGATGCCCATTCCCATCAAGACCAGACAATGGGTTTGTGAACCATCCTGCAAATCCAGTGCTCTACTATAAGGACACCGCCACCTTTGGCTGCCATGAAACGTATTCCTTGGATGGACCGGAAGAAGTAGAATGCAGCAAATTCGGAAACTGGTCTGCACAGCCAAGCTGTAAAGCATCTTGTAAGTTATCTATTAAAAGAGCTACTGTGATATATGAAGGAGAGAGAGTAGCTATCCAGAACAAATTTAAGAATGGAATGCTGCATGGCCAAAAGGTTTCTTTCTTCTGCAAGCATAAGGAAAAGAAGTGCAGCTACACAGAAGATGCTCAGTGCATAGACGGCACCATCGAGATTCCCAAATGCTTCAAGGAGCACAGTTCTTTAGCTTTCTGGAAAACGGATGCATCTGACGTAAAACCATGCTAAGCTGGTTTTCACACTGAAAATTAAATGTCATGCTTATATGTGTCTGTCTGAGAATCTGATGGAAACGGAAAAATAAAGAGACTGAATTTACCGTGTCAAGAAAAAAA") self.assertEqual(record[1]["TSeq_seqtype"], "") self.assertEqual(record[1]["TSeq_seqtype"].attributes["value"], "protein") self.assertEqual(record[1]["TSeq_gi"], "6") self.assertEqual(record[1]["TSeq_accver"], "CAA42669.1") self.assertEqual(record[1]["TSeq_taxid"], "9913") self.assertEqual(record[1]["TSeq_orgname"], "Bos taurus") self.assertEqual(record[1]["TSeq_defline"], "beta-2-glycoprotein I [Bos taurus]") self.assertEqual(record[1]["TSeq_length"], "342") self.assertEqual(record[1]["TSeq_sequence"], "PALVLLLGFLCHVAIAGRTCPKPDELPFSTVVPLKRTYEPGEQIVFSCQPGYVSRGGIRRFTCPLTGLWPINTLKCMPRVCPFAGILENGTVRYTTFEYPNTISFSCHTGFYLKGASSAKCTEEGKWSPDLPVCAPITCPPPPIPKFASLSVYKPLAGNNSFYGSKAVFKCLPHHAMFGNDTVTCTEHGNWTQLPECREVRCPFPSRPDNGFVNHPANPVLYYKDTATFGCHETYSLDGPEEVECSKFGNWSAQPSCKASCKLSIKRATVIYEGERVAIQNKFKNGMLHGQKVSFFCKHKEKKCSYTEDAQCIDGTIEIPKCFKEHSSLAFWKTDASDVKPC") def test_nucleotide2(self): '''Test parsing XML returned by EFetch, Protein database ''' # Access the protein database using efetch. # To create the XML file, use # >>> Bio.handle = Entrez.efetch(db='protein', id=8, # rettype='gp', retmode='xml') input = open('Entrez/protein.xml') record = Entrez.read(input) self.assertEqual(record[0]["GBSeq_locus"], "CAA35997") self.assertEqual(record[0]["GBSeq_length"], "100") self.assertEqual(record[0]["GBSeq_moltype"], "AA") self.assertEqual(record[0]["GBSeq_topology"], "linear") self.assertEqual(record[0]["GBSeq_division"], "MAM") self.assertEqual(record[0]["GBSeq_update-date"], "12-SEP-1993") self.assertEqual(record[0]["GBSeq_create-date"], "03-APR-1990") self.assertEqual(record[0]["GBSeq_definition"], "unnamed protein product [Bos taurus]") self.assertEqual(record[0]["GBSeq_primary-accession"], "CAA35997") self.assertEqual(record[0]["GBSeq_accession-version"], "CAA35997.1") self.assertEqual(record[0]["GBSeq_other-seqids"][0], "emb|CAA35997.1|") self.assertEqual(record[0]["GBSeq_other-seqids"][1], "gi|8") self.assertEqual(record[0]["GBSeq_source"], "Bos taurus (cattle)") self.assertEqual(record[0]["GBSeq_organism"], "Bos taurus") self.assertEqual(record[0]["GBSeq_taxonomy"], "Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Laurasiatheria; Cetartiodactyla; Ruminantia; Pecora; Bovidae; Bovinae; Bos") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_reference"], "1") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_position"], "1..100") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][0], "Kiefer,M.C.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][1], "Saphire,A.C.S.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][2], "Bauer,D.M.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_authors"][3], "Barr,P.J.") self.assertEqual(record[0]["GBSeq_references"][0]["GBReference_journal"], "Unpublished") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_reference"], "2") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_position"], "1..100") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_authors"][0], "Kiefer,M.C.") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_title"], "Direct Submission") self.assertEqual(record[0]["GBSeq_references"][1]["GBReference_journal"], "Submitted (30-JAN-1990) Kiefer M.C., Chiron Corporation, 4560 Hortom St, Emeryville CA 94608-2916, U S A") self.assertEqual(record[0]["GBSeq_comment"], "See <X15699> for Human sequence.~Data kindly reviewed (08-MAY-1990) by Kiefer M.C.") self.assertEqual(record[0]["GBSeq_source-db"], "embl accession X51700.1") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_key"], "source") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_location"], "1..100") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_to"], "100") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_intervals"][0]["GBInterval_accession"], "CAA35997.1") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][0]["GBQualifier_name"], "organism") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][0]["GBQualifier_value"], "Bos taurus") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][1]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][1]["GBQualifier_value"], "taxon:9913") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][2]["GBQualifier_name"], "clone") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][2]["GBQualifier_value"], "bBGP-3") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][3]["GBQualifier_name"], "tissue_type") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][3]["GBQualifier_value"], "bone matrix") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][4]["GBQualifier_name"], "clone_lib") self.assertEqual(record[0]["GBSeq_feature-table"][0]["GBFeature_quals"][4]["GBQualifier_value"], "Zap-bb") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_key"], "Protein") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_location"], "1..100") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_to"], "100") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_intervals"][0]["GBInterval_accession"], "CAA35997.1") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_quals"][0]["GBQualifier_name"], "name") self.assertEqual(record[0]["GBSeq_feature-table"][1]["GBFeature_quals"][0]["GBQualifier_value"], "unnamed protein product") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_key"], "Region") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_location"], "33..97") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_from"], "33") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_to"], "97") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_intervals"][0]["GBInterval_accession"], "CAA35997.1") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][0]["GBQualifier_name"], "region_name") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][0]["GBQualifier_value"], "Gla") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][1]["GBQualifier_name"], "note") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][1]["GBQualifier_value"], "Vitamin K-dependent carboxylation/gamma-carboxyglutamic (GLA) domain. This domain is responsible for the high-affinity binding of calcium ions. This domain contains post-translational modifications of many glutamate residues by Vitamin K-dependent...; cl02449") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][2]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][2]["GBFeature_quals"][2]["GBQualifier_value"], "CDD:92835") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_key"], "CDS") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_location"], "1..100") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_from"], "1") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_to"], "100") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_intervals"][0]["GBInterval_accession"], "CAA35997.1") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][0]["GBQualifier_name"], "coded_by") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][0]["GBQualifier_value"], "X51700.1:28..330") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][1]["GBQualifier_name"], "note") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][1]["GBQualifier_value"], "bone Gla precursor (100 AA)") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][2]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][2]["GBQualifier_value"], "GOA:P02820") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][3]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][3]["GBQualifier_value"], "InterPro:IPR000294") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][4]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][4]["GBQualifier_value"], "InterPro:IPR002384") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][5]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][5]["GBQualifier_value"], "PDB:1Q3M") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][6]["GBQualifier_name"], "db_xref") self.assertEqual(record[0]["GBSeq_feature-table"][3]["GBFeature_quals"][6]["GBQualifier_value"], "UniProtKB/Swiss-Prot:P02820") self.assertEqual(record[0]["GBSeq_sequence"], "mrtpmllallalatlclagradakpgdaesgkgaafvskqegsevvkrlrryldhwlgapapypdplepkrevcelnpdcdeladhigfqeayrrfygpv") if __name__ == '__main__': runner = unittest.TextTestRunner(verbosity = 2) unittest.main(testRunner=runner)

81.687333

1,931

0.635895

37,865

337,287

5.636789

0.09864

0.25258

0.344757

0.254492

0.812361

0.758528

0.71177

0.675975

0.588

0.32261

0

0.091919

0.133246

337,287

4,128

1,932

81.707122

0.638167

0.031196

0

0.116914

0

0.007688

0.369863

0.02588

0

1

0

0.954666

1

0.01087

false

0.00053

0

0.013521

0.000795

0

null

1

0

1

0

null

1

0

1

0

9

4da07ff5a8a72a696cea0339cf1734f1958fa8ec

97

py

Python

overtime/tests/algorithms/__init__.py

overtime3/overtime

ed3ae6877894f4d2c9f8473a885698e1622be3bd

[ "MIT" ]

9

2020-10-15T13:53:36.000Z

2022-03-08T12:08:09.000Z

overtime/tests/algorithms/__init__.py

overtime3/overtime

ed3ae6877894f4d2c9f8473a885698e1622be3bd

[ "MIT" ]

6

2021-02-07T15:43:12.000Z

2021-04-24T04:03:39.000Z

overtime/tests/algorithms/__init__.py

overtime3/overtime

ed3ae6877894f4d2c9f8473a885698e1622be3bd

[ "MIT" ]

7

2020-10-15T13:55:12.000Z

2022-03-12T03:54:02.000Z

from overtime.tests.algorithms.centrality import * from overtime.tests.algorithms.paths import *

48.5

51

0.835052

12

97

6.75

0.583333

0.296296

0.419753

0.666667

0

0.082474

97

2

52

48.5

0.910112

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

4dae00e9c146c73b2c7e1e4325efd52153f46f67

18,791

py

Python

Fujitsu/benchmarks/resnet/implementations/mxnet/3rdparty/tvm/topi/python/topi/intel_graphics/conv2d.py

mengkai94/training_results_v0.6

43dc3e250f8da47b5f8833197d74cb8cf1004fc9

[ "Apache-2.0" ]

64

2021-05-02T14:42:34.000Z

2021-05-06T01:35:03.000Z

topi/python/topi/intel_graphics/conv2d.py

clhne/tvm

d59320c764bd09474775e1b292f3c05c27743d24

[ "Apache-2.0" ]

23

2019-07-29T05:21:52.000Z

2020-08-31T18:51:42.000Z

topi/python/topi/intel_graphics/conv2d.py

clhne/tvm

d59320c764bd09474775e1b292f3c05c27743d24

[ "Apache-2.0" ]

51

2019-07-12T05:10:25.000Z

2021-07-28T16:19:06.000Z

# pylint: disable=invalid-name,unused-variable,unused-argument,no-else-return, too-many-arguments, too-many-locals, too-many-statements, no-member, too-many-branches """conv2d schedule on Intel Graphics""" from __future__ import absolute_import as _abs import tvm from .. import generic from .. import util from .. import tag from ..nn import pad from ..nn.conv2d import conv2d, conv2d_NCHWc, conv2d_alter_layout, _get_workload from ..nn.util import get_pad_tuple from ..util import simplify ##### SCHEDULE UTILITIES ##### def tile_and_bind3d(s, tensor, z, y, x, z_factor=2, y_factor=None, x_factor=None): """ tile and bind 3d """ y_factor = y_factor or z_factor x_factor = x_factor or y_factor zo, zi = s[tensor].split(z, z_factor) yo, yi = s[tensor].split(y, y_factor) xo, xi = s[tensor].split(x, x_factor) s[tensor].reorder(zo, yo, xo, zi, yi, xi) thread_z = tvm.thread_axis((0, z_factor), "threadIdx.z") thread_y = tvm.thread_axis((0, y_factor), "threadIdx.y") thread_x = tvm.thread_axis((0, x_factor), "threadIdx.x") s[tensor].bind(zo, tvm.thread_axis("blockIdx.z")) s[tensor].bind(zi, thread_z) s[tensor].bind(yo, tvm.thread_axis("blockIdx.y")) s[tensor].bind(yi, thread_y) s[tensor].bind(xo, tvm.thread_axis("blockIdx.x")) s[tensor].bind(xi, thread_x) return xi, thread_z, thread_y, thread_x @conv2d_alter_layout.register(["intel_graphics"]) def _alter_conv2d_layout(attrs, inputs, tinfos): import nnvm.symbol as sym copy_inputs = [s for s in inputs] data = tinfos[0] kernel = tinfos[1] import ast padding = ast.literal_eval(attrs['padding']) stride = ast.literal_eval(attrs['strides']) wkl = _get_workload(data, kernel, stride, padding, data.dtype) oc_bn = 1 kernel_shape = util.get_const_tuple(kernel.shape) for oc_bn in range(16, 1, -1): if kernel_shape[0] % oc_bn == 0: break new_attrs = {k: attrs[k] for k in attrs.keys()} new_attrs['kernel_layout'] = 'OIHW%do' % (oc_bn) return sym.contrib.conv2d_NCHWc(*copy_inputs, **new_attrs) @conv2d_NCHWc.register(["intel_graphics"]) def _decl_conv2d(data, kernel, num_filter, kernel_size, stride, padding, layout,\ out_layout, out_dtype='float32'): """Conv2D operator for Intel Graphics backend. Parameters ---------- data : tvm.Tensor 4-D with shape [batch, in_channel, in_height, in_width] kernel : tvm.Tensor 5-D with shape [num_filter, in_channel, filter_height, filter_width, nnum_filter_vec] stride : int or a list/tuple of two ints stride size, or [stride_height, stride_width] padding : int or a list/tuple of two ints padding size, or [pad_height, pad_width] layout : str layout of data Returns ------- output : tvm.Tensor 4-D with shape [batch, out_channel, out_height, out_width] """ assert data.shape[0].value == 1, "only support batch size=1 convolution on intel gpu" assert data.dtype == kernel.dtype, "Do not support inputs with different data types now." out_dtype = data.dtype HPAD, WPAD, _, _ = get_pad_tuple(padding, kernel) kernel_shape = util.get_const_tuple(kernel.shape) if isinstance(stride, (tuple, list)): HSTR, WSTR = stride else: HSTR, WSTR = stride, stride return _decl_cl_spatialpack_NCHWc(data, kernel, stride, padding, out_dtype) @generic.schedule_conv2d_NCHWc.register(["intel_graphics"]) def schedule_conv2d_NCHWc(num_filter, kernel_size, stride, padding, layout, out_layout, outs): """Schedule for conv2d_nchw for Intel Graphics Parameters ---------- outs: Array of Tensor The computation graph description of conv2d_nchw in the format of an array of tensors. Returns ------- s: Schedule The computation schedule for conv2d_nchw. """ outs = [outs] if isinstance(outs, tvm.tensor.Tensor) else outs s = tvm.create_schedule([x.op for x in outs]) scheduled_ops = [] def traverse(op): """inline all one-to-one-mapping operators except the last stage (output)""" if tag.is_broadcast(op.tag): if op not in s.outputs: s[op].compute_inline() for tensor in op.input_tensors: if tensor.op.input_tensors and tensor.op not in scheduled_ops: traverse(tensor.op) if "4_5" in op.tag or "4_4" in op.tag or "2_7" in op.tag or "2_14" in op.tag \ or "1_16" in op.tag: _schedule_cl_spatialpack_NCHWc(s, op) scheduled_ops.append(op) traverse(outs[0].op) return s def _decl_cl_spatialpack_NCHWc(data, kernel, stride, padding, out_dtype='float16'): batch, in_channel, in_height, in_width = [util.get_const_int(x) for x in data.shape] num_filter, channel, kernel_h, kernel_w, nv = [util.get_const_int(x) for x in kernel.shape] num_filter = num_filter * nv pad_top, pad_left, pad_down, pad_right = get_pad_tuple(padding, kernel) if isinstance(stride, (tuple, list)): stride_h, stride_w = stride else: stride_h, stride_w = stride, stride out_channel = num_filter out_height = simplify((in_height - kernel_h + pad_top + pad_down) // stride_h + 1) out_width = simplify((in_width - kernel_w + pad_left + pad_right) // stride_w + 1) oshape = (batch, out_channel, out_height, out_width) rc = tvm.reduce_axis((0, in_channel), name='rc') ry = tvm.reduce_axis((0, kernel_h), name='ry') rx = tvm.reduce_axis((0, kernel_w), name='rx') block_w = 0 block_h = 0 if stride_h == 2: if num_filter + kernel_h == 515: conv_tag = "4_4" block_h = 4 block_w = 4 else: conv_tag = "4_5" block_h = 4 block_w = 5 elif kernel_h == 3: if num_filter == 512: conv_tag = "2_7" block_h = 2 block_w = 7 else: conv_tag = "2_14" block_h = 2 block_w = 14 else: conv_tag = "1_16" block_h = 1 block_w = 16 c_h = out_height c_w = out_width if not out_height % block_h == 0: c_h = (out_height // block_h + 1) * block_h if not out_width % block_w == 0: c_w = (out_width // block_w + 1) * block_w pad_before = [0, 0, pad_top, pad_left] pad_after = [0, 0, pad_down + c_h - block_h, pad_right + c_w - block_w] temp = pad(data, pad_before, pad_after, name="pad_temp") cshape = (batch, out_channel // nv, c_h, c_w, nv) conv = tvm.compute( cshape, lambda nn, ff, yy, xx, vc:\ tvm.sum( temp[nn, rc, yy * stride_h + ry, xx * stride_w + rx].astype(out_dtype) * kernel[ff, rc, ry, rx, vc].astype(out_dtype), axis=[rc, ry, rx]), tag=conv_tag, name='conv') output = tvm.compute( oshape, lambda nn, ff, yy, xx: conv[nn][ff//nv][yy][xx][ff%nv], name='output_unpack', tag=conv_tag) return output def _schedule_cl_spatialpack_NCHWc(s, op): output = op.output(0) _, _, out_height, out_width = [util.get_const_int(x) for x in output.shape] conv = op.input_tensors[0] temp = s[conv].op.input_tensors[0] kernel = s[conv].op.input_tensors[1] temp_W = s.cache_read(temp, "warp", [conv]) conv_L = s.cache_write(conv, "local") kernel_L = s.cache_read(kernel, "local", [conv_L]) _, in_channel, temp_h, temp_w = [util.get_const_int(x) for x in temp.shape] if "1_16" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 1 OUTPUT_BLOCK_WIDTH = 16 elif "2_14" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 2 OUTPUT_BLOCK_WIDTH = 14 elif "2_7" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 2 OUTPUT_BLOCK_WIDTH = 7 elif "4_5" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 4 OUTPUT_BLOCK_WIDTH = 5 elif "4_4" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 4 OUTPUT_BLOCK_WIDTH = 4 # schedule conv z_factor = 1 y_factor = 1 x_factor = 16 thread_z = tvm.thread_axis((0, z_factor), "threadIdx.z") thread_y = tvm.thread_axis((0, y_factor), "threadIdx.y") thread_x = tvm.thread_axis((0, x_factor), "threadIdx.x") _, co, oh, ow, vc = s[conv].op.axis ooh, ioh = s[conv].split(oh, factor=OUTPUT_BLOCK_HEIGHT) oow, iow = s[conv].split(ow, factor=OUTPUT_BLOCK_WIDTH) s[conv].reorder(_, co, ooh, oow, vc, ioh, iow) coo, coi = s[conv].split(co, nparts=1) ooho, oohi = s[conv].split(ooh, factor=z_factor) oowo, oowi = s[conv].split(oow, factor=y_factor) vco, vci = s[conv].split(vc, factor=x_factor) s[conv].reorder(_, coo, vco, ooho, oowo, coi, oohi, oowi, vci, ioh, iow) s[conv].bind(oohi, thread_z) s[conv].bind(oowi, thread_y) s[conv].bind(vci, thread_x) s[conv].bind(ooho, tvm.thread_axis("blockIdx.z")) s[conv].bind(oowo, tvm.thread_axis("blockIdx.y")) s[conv].bind(coi, tvm.thread_axis("blockIdx.x")) # schedule conv_L s[conv_L].compute_at(s[conv], vci) i, oc, h, w, vc = s[conv_L].op.axis rc, ry, rx = s[conv_L].op.reduce_axis s[conv_L].reorder(i, oc, rc, ry, rx, vc, h, w) s[temp_W].compute_at(s[conv_L], rc) if kernel.shape[3].value != 7: s[conv_L].unroll(ry) s[conv_L].unroll(rx) # schedule temp _, ci, h, w = s[temp].op.axis tile_and_bind3d(s, temp, ci, h, w, 1, 16, 16) # schedule temp_W _, ci, h, w = s[temp_W].op.axis zo, zi = s[temp_W].split(ci, 1) yo, yi = s[temp_W].split(h, 1) xo, xi = s[temp_W].split(w, 16) s[temp_W].reorder(zo, yo, xo, zi, yi, xi) s[temp_W].bind(zi, thread_z) s[temp_W].bind(yi, thread_y) s[temp_W].bind(xi, thread_x) s[temp_W].storage_align(s[temp_W].op.axis[2], 16, 0) #schedule kernel # schedule kernel_L if "2_14" in s[conv].op.tag: s[kernel_L].compute_at(s[conv_L], ry) else: s[kernel_L].compute_at(s[conv_L], rx) # schedule output if output.op in s.outputs: out = output else: s[output].compute_inline() out = s.outputs[0] _, co, h, w = s[out].op.axis tile_and_bind3d(s, out, w, h, co, 4, 8, 8) @conv2d.register(["intel_graphics"]) def decl_conv2d(data, kernel, stride, padding, layout='NCHW', out_dtype='float32'): """Conv2D operator for Intel Graphics backend. Parameters ---------- data : tvm.Tensor 4-D with shape [batch, in_channel, in_height, in_width] kernel : tvm.Tensor 4-D with shape [num_filter, in_channel, filter_height, filter_width] stride : int or a list/tuple of two ints stride size, or [stride_height, stride_width] padding : int or a list/tuple of two ints padding size, or [pad_height, pad_width] layout : str layout of data Returns ------- output : tvm.Tensor 4-D with shape [batch, out_channel, out_height, out_width] """ assert layout == 'NCHW', "only support NCHW convolution on intel gpu" assert data.shape[0].value == 1, "only support batch size=1 convolution on intel gpu" assert data.dtype == kernel.dtype, "Do not support inputs with different data types now." out_dtype = data.dtype HPAD, WPAD, _, _ = get_pad_tuple(padding, kernel) kernel_shape = util.get_const_tuple(kernel.shape) if isinstance(stride, (tuple, list)): HSTR, WSTR = stride else: HSTR, WSTR = stride, stride return _decl_cl_spatialpack(data, kernel, stride, padding, layout, out_dtype) @generic.schedule_conv2d_nchw.register(["intel_graphics"]) def schedule_conv2d_nchw(outs): """Schedule for conv2d_nchw for Intel Graphics Parameters ---------- outs: Array of Tensor The computation graph description of conv2d_nchw in the format of an array of tensors. Returns ------- s: Schedule The computation schedule for conv2d_nchw. """ outs = [outs] if isinstance(outs, tvm.tensor.Tensor) else outs s = tvm.create_schedule([x.op for x in outs]) scheduled_ops = [] def traverse(op): """inline all one-to-one-mapping operators except the last stage (output)""" if tag.is_broadcast(op.tag): if op not in s.outputs: s[op].compute_inline() for tensor in op.input_tensors: if tensor.op.input_tensors and tensor.op not in scheduled_ops: traverse(tensor.op) if "4_5" in op.tag or "4_4" in op.tag or "2_7" in op.tag or "2_14" in op.tag \ or "1_16" in op.tag: _schedule_cl_spatialpack(s, op) scheduled_ops.append(op) traverse(outs[0].op) return s def _decl_cl_spatialpack(data, kernel, stride, padding, layout, out_dtype='float16'): batch, in_channel, in_height, in_width = [util.get_const_int(x) for x in data.shape] num_filter, channel, kernel_h, kernel_w = [util.get_const_int(x) for x in kernel.shape] pad_top, pad_left, pad_down, pad_right = get_pad_tuple(padding, kernel) if isinstance(stride, (tuple, list)): stride_h, stride_w = stride else: stride_h, stride_w = stride, stride out_channel = num_filter out_height = simplify((in_height - kernel_h + pad_top + pad_down) // stride_h + 1) out_width = simplify((in_width - kernel_w + pad_left + pad_right) // stride_w + 1) oshape = (batch, out_channel, out_height, out_width) rc = tvm.reduce_axis((0, in_channel), name='rc') ry = tvm.reduce_axis((0, kernel_h), name='ry') rx = tvm.reduce_axis((0, kernel_w), name='rx') block_w = 0 block_h = 0 if stride_h == 2: if num_filter + kernel_h == 515: conv_tag = "4_4" block_h = 4 block_w = 4 else: conv_tag = "4_5" block_h = 4 block_w = 5 elif kernel_h == 3: if num_filter == 512: conv_tag = "2_7" block_h = 2 block_w = 7 else: conv_tag = "2_14" block_h = 2 block_w = 14 else: conv_tag = "1_16" block_h = 1 block_w = 16 c_h = out_height c_w = out_width if not out_width % block_w == 0: c_w = (out_width // block_w + 1) * block_w if not out_height % block_h == 0: c_h = (out_height // block_h + 1) * block_h pad_before = [0, 0, pad_top, pad_left] pad_after = [0, 0, pad_down + c_h - block_h, pad_right + c_w - block_w] temp = pad(data, pad_before, pad_after, name="pad_temp") nv = 16 if not num_filter % nv == 0: num_filter = (num_filter // nv + 1) * nv out_channel = num_filter cshape = (batch, out_channel // nv, c_h, c_w, nv) kvshape = (num_filter // nv, channel, kernel_h, kernel_w, nv) kernel_vec = tvm.compute( kvshape, lambda co, ci, kh, kw, vc: kernel[co*nv + vc][ci][kh][kw], name='kernel_vec') conv = tvm.compute( cshape, lambda nn, ff, yy, xx, vc:\ tvm.sum( temp[nn, rc, yy * stride_h + ry, xx * stride_w + rx].astype(out_dtype) * kernel_vec[ff, rc, ry, rx, vc].astype(out_dtype), axis=[rc, ry, rx]), tag=conv_tag, name='conv') output = tvm.compute( oshape, lambda nn, ff, yy, xx: conv[nn][ff//nv][yy][xx][ff%nv], name='output_unpack', tag=conv_tag) return output def _schedule_cl_spatialpack(s, op): output = op.output(0) _, _, out_height, out_width = [util.get_const_int(x) for x in output.shape] conv = op.input_tensors[0] temp = s[conv].op.input_tensors[0] kernel_vec = s[conv].op.input_tensors[1] kernel = s[kernel_vec].op.input_tensors[0] temp_W = s.cache_read(temp, "warp", [conv]) conv_L = s.cache_write(conv, "local") kernel_L = s.cache_read(kernel_vec, "local", [conv_L]) _, in_channel, temp_h, temp_w = [util.get_const_int(x) for x in temp.shape] if "1_16" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 1 OUTPUT_BLOCK_WIDTH = 16 elif "2_14" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 2 OUTPUT_BLOCK_WIDTH = 14 elif "2_7" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 2 OUTPUT_BLOCK_WIDTH = 7 elif "4_5" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 4 OUTPUT_BLOCK_WIDTH = 5 elif "4_4" in s[conv].op.tag: OUTPUT_BLOCK_HEIGHT = 4 OUTPUT_BLOCK_WIDTH = 4 # schedule conv z_factor = 1 y_factor = 1 x_factor = 16 thread_z = tvm.thread_axis((0, z_factor), "threadIdx.z") thread_y = tvm.thread_axis((0, y_factor), "threadIdx.y") thread_x = tvm.thread_axis((0, x_factor), "threadIdx.x") _, co, oh, ow, vc = s[conv].op.axis ooh, ioh = s[conv].split(oh, factor=OUTPUT_BLOCK_HEIGHT) oow, iow = s[conv].split(ow, factor=OUTPUT_BLOCK_WIDTH) s[conv].reorder(_, co, ooh, oow, vc, ioh, iow) coo, coi = s[conv].split(co, nparts=1) ooho, oohi = s[conv].split(ooh, factor=z_factor) oowo, oowi = s[conv].split(oow, factor=y_factor) vco, vci = s[conv].split(vc, factor=x_factor) s[conv].reorder(_, coo, vco, ooho, oowo, coi, oohi, oowi, vci, ioh, iow) s[conv].bind(oohi, thread_z) s[conv].bind(oowi, thread_y) s[conv].bind(vci, thread_x) s[conv].bind(ooho, tvm.thread_axis("blockIdx.z")) s[conv].bind(oowo, tvm.thread_axis("blockIdx.y")) s[conv].bind(coi, tvm.thread_axis("blockIdx.x")) # schedule conv_L s[conv_L].compute_at(s[conv], vci) i, oc, h, w, vc = s[conv_L].op.axis rc, ry, rx = s[conv_L].op.reduce_axis s[conv_L].reorder(i, oc, rc, ry, rx, vc, h, w) s[temp_W].compute_at(s[conv_L], rc) if kernel.shape[3].value != 7: s[conv_L].unroll(ry) s[conv_L].unroll(rx) # schedule temp _, ci, h, w = s[temp].op.axis tile_and_bind3d(s, temp, ci, h, w, 1, 16, 16) # schedule temp_W _, ci, h, w = s[temp_W].op.axis zo, zi = s[temp_W].split(ci, 1) yo, yi = s[temp_W].split(h, 1) xo, xi = s[temp_W].split(w, 16) s[temp_W].reorder(zo, yo, xo, zi, yi, xi) s[temp_W].bind(zi, thread_z) s[temp_W].bind(yi, thread_y) s[temp_W].bind(xi, thread_x) s[temp_W].storage_align(s[temp_W].op.axis[2], 16, 0) s[kernel_vec].compute_inline() # schedule kernel_L if "2_14" in s[conv].op.tag: s[kernel_L].compute_at(s[conv_L], ry) else: s[kernel_L].compute_at(s[conv_L], rx) # schedule output if output.op in s.outputs: out = output else: s[output].compute_inline() out = s.outputs[0] _, co, h, w = s[out].op.axis tile_and_bind3d(s, out, w, h, co, 4, 8, 8)

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Python

python3/lib/python3.6/site-packages/tensorflow/core/profiler/tfprof_output_pb2.py

TruongThuyLiem/keras2tensorflow

726f2370160701081cb43fbd8b56154c10d7ad63

[ "MIT" ]

3

2020-10-12T15:47:01.000Z

2022-01-14T19:51:26.000Z

python3/lib/python3.6/site-packages/tensorflow/core/profiler/tfprof_output_pb2.py

TruongThuyLiem/keras2tensorflow

726f2370160701081cb43fbd8b56154c10d7ad63

[ "MIT" ]

null

python3/lib/python3.6/site-packages/tensorflow/core/profiler/tfprof_output_pb2.py

TruongThuyLiem/keras2tensorflow

726f2370160701081cb43fbd8b56154c10d7ad63

[ "MIT" ]

2

2020-08-03T13:02:06.000Z

2020-11-04T03:15:44.000Z

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: tensorflow/core/profiler/tfprof_output.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 # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from tensorflow.core.framework import tensor_shape_pb2 as tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2 from tensorflow.core.framework import types_pb2 as tensorflow_dot_core_dot_framework_dot_types__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='tensorflow/core/profiler/tfprof_output.proto', package='tensorflow.tfprof', syntax='proto3', serialized_options=None, 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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, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_GRAPHNODEPROTO_INPUTSHAPESENTRY, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=273, serialized_end=1183, ) _MULTIGRAPHNODEPROTO = _descriptor.Descriptor( name='MultiGraphNodeProto', full_name='tensorflow.tfprof.MultiGraphNodeProto', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='name', full_name='tensorflow.tfprof.MultiGraphNodeProto.name', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), 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full_name='tensorflow.tfprof.MultiGraphNodeProto.total_cpu_exec_micros', index=12, number=15, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_requested_bytes', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_requested_bytes', index=13, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_peak_bytes', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_peak_bytes', index=14, number=19, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_residual_bytes', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_residual_bytes', index=15, number=20, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_output_bytes', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_output_bytes', index=16, number=21, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_parameters', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_parameters', index=17, number=8, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='total_float_ops', full_name='tensorflow.tfprof.MultiGraphNodeProto.total_float_ops', index=18, number=9, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='graph_nodes', full_name='tensorflow.tfprof.MultiGraphNodeProto.graph_nodes', index=19, number=10, 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, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='children', full_name='tensorflow.tfprof.MultiGraphNodeProto.children', index=20, number=11, 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, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1186, serialized_end=1807, ) _ADVICEPROTO_CHECKERSENTRY = _descriptor.Descriptor( name='CheckersEntry', full_name='tensorflow.tfprof.AdviceProto.CheckersEntry', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='key', full_name='tensorflow.tfprof.AdviceProto.CheckersEntry.key', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=_b("").decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), _descriptor.FieldDescriptor( name='value', full_name='tensorflow.tfprof.AdviceProto.CheckersEntry.value', index=1, number=2, type=11, cpp_type=10, label=1, has_default_value=False, default_value=None, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=_b('8\001'), is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1889, serialized_end=1976, ) _ADVICEPROTO_CHECKER = _descriptor.Descriptor( name='Checker', full_name='tensorflow.tfprof.AdviceProto.Checker', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='reports', full_name='tensorflow.tfprof.AdviceProto.Checker.reports', index=0, number=2, type=9, cpp_type=9, label=3, has_default_value=False, default_value=[], message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1978, serialized_end=2004, ) _ADVICEPROTO = _descriptor.Descriptor( name='AdviceProto', full_name='tensorflow.tfprof.AdviceProto', filename=None, file=DESCRIPTOR, containing_type=None, fields=[ _descriptor.FieldDescriptor( name='checkers', full_name='tensorflow.tfprof.AdviceProto.checkers', index=0, number=1, 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, serialized_options=None, file=DESCRIPTOR), ], extensions=[ ], nested_types=[_ADVICEPROTO_CHECKERSENTRY, _ADVICEPROTO_CHECKER, ], enum_types=[ ], serialized_options=None, is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=1810, serialized_end=2004, ) _TFPROFTENSORPROTO.fields_by_name['dtype'].enum_type = tensorflow_dot_core_dot_framework_dot_types__pb2._DATATYPE _GRAPHNODEPROTO_INPUTSHAPESENTRY.fields_by_name['value'].message_type = tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2._TENSORSHAPEPROTO _GRAPHNODEPROTO_INPUTSHAPESENTRY.containing_type = _GRAPHNODEPROTO _GRAPHNODEPROTO.fields_by_name['tensor_value'].message_type = _TFPROFTENSORPROTO _GRAPHNODEPROTO.fields_by_name['shapes'].message_type = tensorflow_dot_core_dot_framework_dot_tensor__shape__pb2._TENSORSHAPEPROTO _GRAPHNODEPROTO.fields_by_name['input_shapes'].message_type = _GRAPHNODEPROTO_INPUTSHAPESENTRY _GRAPHNODEPROTO.fields_by_name['children'].message_type = _GRAPHNODEPROTO _MULTIGRAPHNODEPROTO.fields_by_name['graph_nodes'].message_type = _GRAPHNODEPROTO _MULTIGRAPHNODEPROTO.fields_by_name['children'].message_type = _MULTIGRAPHNODEPROTO _ADVICEPROTO_CHECKERSENTRY.fields_by_name['value'].message_type = _ADVICEPROTO_CHECKER _ADVICEPROTO_CHECKERSENTRY.containing_type = _ADVICEPROTO _ADVICEPROTO_CHECKER.containing_type = _ADVICEPROTO _ADVICEPROTO.fields_by_name['checkers'].message_type = _ADVICEPROTO_CHECKERSENTRY DESCRIPTOR.message_types_by_name['TFProfTensorProto'] = _TFPROFTENSORPROTO DESCRIPTOR.message_types_by_name['GraphNodeProto'] = _GRAPHNODEPROTO DESCRIPTOR.message_types_by_name['MultiGraphNodeProto'] = _MULTIGRAPHNODEPROTO DESCRIPTOR.message_types_by_name['AdviceProto'] = _ADVICEPROTO _sym_db.RegisterFileDescriptor(DESCRIPTOR) TFProfTensorProto = _reflection.GeneratedProtocolMessageType('TFProfTensorProto', (_message.Message,), dict( DESCRIPTOR = _TFPROFTENSORPROTO, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.TFProfTensorProto) )) _sym_db.RegisterMessage(TFProfTensorProto) GraphNodeProto = _reflection.GeneratedProtocolMessageType('GraphNodeProto', (_message.Message,), dict( InputShapesEntry = _reflection.GeneratedProtocolMessageType('InputShapesEntry', (_message.Message,), dict( DESCRIPTOR = _GRAPHNODEPROTO_INPUTSHAPESENTRY, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.GraphNodeProto.InputShapesEntry) )) , DESCRIPTOR = _GRAPHNODEPROTO, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.GraphNodeProto) )) _sym_db.RegisterMessage(GraphNodeProto) _sym_db.RegisterMessage(GraphNodeProto.InputShapesEntry) MultiGraphNodeProto = _reflection.GeneratedProtocolMessageType('MultiGraphNodeProto', (_message.Message,), dict( DESCRIPTOR = _MULTIGRAPHNODEPROTO, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.MultiGraphNodeProto) )) _sym_db.RegisterMessage(MultiGraphNodeProto) AdviceProto = _reflection.GeneratedProtocolMessageType('AdviceProto', (_message.Message,), dict( CheckersEntry = _reflection.GeneratedProtocolMessageType('CheckersEntry', (_message.Message,), dict( DESCRIPTOR = _ADVICEPROTO_CHECKERSENTRY, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.AdviceProto.CheckersEntry) )) , Checker = _reflection.GeneratedProtocolMessageType('Checker', (_message.Message,), dict( DESCRIPTOR = _ADVICEPROTO_CHECKER, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.AdviceProto.Checker) )) , DESCRIPTOR = _ADVICEPROTO, __module__ = 'tensorflow.core.profiler.tfprof_output_pb2' # @@protoc_insertion_point(class_scope:tensorflow.tfprof.AdviceProto) )) _sym_db.RegisterMessage(AdviceProto) _sym_db.RegisterMessage(AdviceProto.CheckersEntry) _sym_db.RegisterMessage(AdviceProto.Checker) _GRAPHNODEPROTO_INPUTSHAPESENTRY._options = None _ADVICEPROTO_CHECKERSENTRY._options = None # @@protoc_insertion_point(module_scope)

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129758836690e6cf83c058208d8e2242c72374b3

128,517

py

Python

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_rsi_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_rsi_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

cisco-ios-xr/ydk/models/cisco_ios_xr/Cisco_IOS_XR_infra_rsi_cfg.py

tkamata-test/ydk-py

b637e7853a8edbbd31fbc05afa3aa4110b31c5f9

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

null

""" Cisco_IOS_XR_infra_rsi_cfg This module contains a collection of YANG definitions for Cisco IOS\-XR infra\-rsi package configuration. This module contains definitions for the following management objects\: vrfs\: VRF configuration global\-af\: global af srlg\: srlg vrf\-groups\: vrf groups selective\-vrf\-download\: selective vrf download This YANG module augments the Cisco\-IOS\-XR\-ifmgr\-cfg, Cisco\-IOS\-XR\-snmp\-agent\-cfg modules with configuration data. Copyright (c) 2013\-2016 by Cisco Systems, Inc. All rights reserved. """ import re import collections from enum import Enum from ydk.types import Empty, YList, YLeafList, DELETE, Decimal64, FixedBitsDict from ydk.errors import YPYError, YPYModelError class SrlgPriorityEnum(Enum): """ SrlgPriorityEnum Srlg priority .. data:: critical = 0 Critical .. data:: high = 1 High .. data:: default = 2 Default .. data:: low = 3 Low .. data:: very_low = 4 Very low """ critical = 0 high = 1 default = 2 low = 3 very_low = 4 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['SrlgPriorityEnum'] class VrfAddressFamilyEnum(Enum): """ VrfAddressFamilyEnum Vrf address family .. data:: ipv4 = 1 IPv4 .. data:: ipv6 = 2 IPv6 """ ipv4 = 1 ipv6 = 2 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfAddressFamilyEnum'] class VrfSubAddressFamilyEnum(Enum): """ VrfSubAddressFamilyEnum Vrf sub address family .. data:: unicast = 1 Unicast .. data:: multicast = 2 Multicast .. data:: flow_spec = 133 Flow spec """ unicast = 1 multicast = 2 flow_spec = 133 @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfSubAddressFamilyEnum'] class Vrfs(object): """ VRF configuration .. attribute:: vrf VRF configuration **type**\: list of :py:class:`Vrf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.vrf = YList() self.vrf.parent = self self.vrf.name = 'vrf' class Vrf(object): """ VRF configuration .. attribute:: vrf_name <key> VRF name **type**\: str **length:** 0..32 .. attribute:: afs VRF address family configuration **type**\: :py:class:`Afs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs>` .. attribute:: create VRF global configuration **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: description A textual description of the VRF **type**\: str **length:** 0..244 .. attribute:: fallback_vrf Fallback VRF **type**\: str **length:** 0..32 .. attribute:: mode_big Configuration enable of big VRF **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: multicast_host Multicast host stack configuration **type**\: :py:class:`MulticastHost <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.MulticastHost>` .. attribute:: remote_route_filter_disable For disabling remote route filtering for this VRF on core\-facing card **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: vpn_id VPN\-ID for the VRF **type**\: :py:class:`VpnId <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.VpnId>` **presence node**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.vrf_name = None self.afs = Vrfs.Vrf.Afs() self.afs.parent = self self.create = None self.description = None self.fallback_vrf = None self.mode_big = None self.multicast_host = Vrfs.Vrf.MulticastHost() self.multicast_host.parent = self self.remote_route_filter_disable = None self.vpn_id = None class VpnId(object): """ VPN\-ID for the VRF .. attribute:: vpn_index Index of VPNID Index **type**\: int **range:** 0..16777215 **mandatory**\: True .. attribute:: vpn_oui OUI of VPNID OUI **type**\: int **range:** 0..4294967295 **mandatory**\: True .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self._is_presence = True self.vpn_index = None self.vpn_oui = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:vpn-id' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.vpn_index is not None: return True if self.vpn_oui is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.VpnId']['meta_info'] class Afs(object): """ VRF address family configuration .. attribute:: af VRF address family configuration **type**\: list of :py:class:`Af <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.af = YList() self.af.parent = self self.af.name = 'af' class Af(object): """ VRF address family configuration .. attribute:: af_name <key> Address family **type**\: :py:class:`VrfAddressFamilyEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfAddressFamilyEnum>` .. attribute:: saf_name <key> Sub\-Address family **type**\: :py:class:`VrfSubAddressFamilyEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfSubAddressFamilyEnum>` .. attribute:: topology_name <key> Topology name **type**\: str **length:** 0..244 .. attribute:: bgp BGP AF VRF config **type**\: :py:class:`Bgp <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp>` .. attribute:: create VRF configuration for a particular address family **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: maximum_prefix Set maximum prefix limits **type**\: :py:class:`MaximumPrefix <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.MaximumPrefix>` **presence node**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.af_name = None self.saf_name = None self.topology_name = None self.bgp = Vrfs.Vrf.Afs.Af.Bgp() self.bgp.parent = self self.create = None self.maximum_prefix = None class MaximumPrefix(object): """ Set maximum prefix limits .. attribute:: mid_threshold Mid\-threshold (% of maximum) **type**\: int **range:** 1..100 .. attribute:: prefix_limit Set table's maximum prefix limit **type**\: int **range:** 32..5000000 **mandatory**\: True .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'ip-rib-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self._is_presence = True self.mid_threshold = None self.prefix_limit = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ip-rib-cfg:maximum-prefix' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.mid_threshold is not None: return True if self.prefix_limit is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.MaximumPrefix']['meta_info'] class Bgp(object): """ BGP AF VRF config .. attribute:: export_route_policy Route policy for export filtering **type**\: str .. attribute:: export_route_targets Export Route targets **type**\: :py:class:`ExportRouteTargets <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets>` .. attribute:: export_vrf_options Export VRF options **type**\: :py:class:`ExportVrfOptions <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportVrfOptions>` .. attribute:: global_to_vrf_import_route_policy Route policy for global to vrf import filtering **type**\: :py:class:`GlobalToVrfImportRoutePolicy <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.GlobalToVrfImportRoutePolicy>` **presence node**\: True .. attribute:: import_route_policy Route policy for import filtering **type**\: str .. attribute:: import_route_targets Import Route targets **type**\: :py:class:`ImportRouteTargets <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets>` .. attribute:: vrf_to_global_export_route_policy Route policy for vrf to global export filtering **type**\: :py:class:`VrfToGlobalExportRoutePolicy <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.VrfToGlobalExportRoutePolicy>` **presence node**\: True """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.export_route_policy = None self.export_route_targets = Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets() self.export_route_targets.parent = self self.export_vrf_options = Vrfs.Vrf.Afs.Af.Bgp.ExportVrfOptions() self.export_vrf_options.parent = self self.global_to_vrf_import_route_policy = None self.import_route_policy = None self.import_route_targets = Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets() self.import_route_targets.parent = self self.vrf_to_global_export_route_policy = None class ImportRouteTargets(object): """ Import Route targets .. attribute:: route_targets Route target table **type**\: :py:class:`RouteTargets <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.route_targets = Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets() self.route_targets.parent = self class RouteTargets(object): """ Route target table .. attribute:: route_target Route target **type**\: list of :py:class:`RouteTarget <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.route_target = YList() self.route_target.parent = self self.route_target.name = 'route_target' class RouteTarget(object): """ Route target .. attribute:: type <key> Type of RT **type**\: :py:class:`BgpVrfRouteTargetEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ipv4_bgp_cfg.BgpVrfRouteTargetEnum>` .. attribute:: as_or_four_byte_as as or four byte as **type**\: list of :py:class:`AsOrFourByteAs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget.AsOrFourByteAs>` .. attribute:: ipv4_address ipv4 address **type**\: list of :py:class:`Ipv4Address <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget.Ipv4Address>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.type = None self.as_or_four_byte_as = YList() self.as_or_four_byte_as.parent = self self.as_or_four_byte_as.name = 'as_or_four_byte_as' self.ipv4_address = YList() self.ipv4_address.parent = self self.ipv4_address.name = 'ipv4_address' class AsOrFourByteAs(object): """ as or four byte as .. attribute:: as_ <key> AS number **type**\: int **range:** 1..4294967295 .. attribute:: as_index <key> AS number Index **type**\: int **range:** 0..4294967295 .. attribute:: as_xx <key> AS number **type**\: int **range:** 0..4294967295 .. attribute:: stitching_rt <key> Stitching RT **type**\: int **range:** 0..1 """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.as_ = None self.as_index = None self.as_xx = None self.stitching_rt = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.as_ is None: raise YPYModelError('Key property as_ is None') if self.as_index is None: raise YPYModelError('Key property as_index is None') if self.as_xx is None: raise YPYModelError('Key property as_xx is None') if self.stitching_rt is None: raise YPYModelError('Key property stitching_rt is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:as-or-four-byte-as[Cisco-IOS-XR-ipv4-bgp-cfg:as = ' + str(self.as_) + '][Cisco-IOS-XR-ipv4-bgp-cfg:as-index = ' + str(self.as_index) + '][Cisco-IOS-XR-ipv4-bgp-cfg:as-xx = ' + str(self.as_xx) + '][Cisco-IOS-XR-ipv4-bgp-cfg:stitching-rt = ' + str(self.stitching_rt) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.as_ is not None: return True if self.as_index is not None: return True if self.as_xx is not None: return True if self.stitching_rt is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget.AsOrFourByteAs']['meta_info'] class Ipv4Address(object): """ ipv4 address .. attribute:: address <key> IP address **type**\: str **pattern:** (([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])\\.){3}([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])(%[\\p{N}\\p{L}]+)? .. attribute:: address_index <key> IP address Index **type**\: int **range:** 0..65535 .. attribute:: stitching_rt <key> Stitching RT **type**\: int **range:** 0..1 """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.address = None self.address_index = None self.stitching_rt = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.address is None: raise YPYModelError('Key property address is None') if self.address_index is None: raise YPYModelError('Key property address_index is None') if self.stitching_rt is None: raise YPYModelError('Key property stitching_rt is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:ipv4-address[Cisco-IOS-XR-ipv4-bgp-cfg:address = ' + str(self.address) + '][Cisco-IOS-XR-ipv4-bgp-cfg:address-index = ' + str(self.address_index) + '][Cisco-IOS-XR-ipv4-bgp-cfg:stitching-rt = ' + str(self.stitching_rt) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.address is not None: return True if self.address_index is not None: return True if self.stitching_rt is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget.Ipv4Address']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.type is None: raise YPYModelError('Key property type is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:route-target[Cisco-IOS-XR-ipv4-bgp-cfg:type = ' + str(self.type) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.type is not None: return True if self.as_or_four_byte_as is not None: for child_ref in self.as_or_four_byte_as: if child_ref._has_data(): return True if self.ipv4_address is not None: for child_ref in self.ipv4_address: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets.RouteTarget']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:route-targets' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.route_target is not None: for child_ref in self.route_target: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets.RouteTargets']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:import-route-targets' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.route_targets is not None and self.route_targets._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ImportRouteTargets']['meta_info'] class ExportRouteTargets(object): """ Export Route targets .. attribute:: route_targets Route target table **type**\: :py:class:`RouteTargets <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.route_targets = Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets() self.route_targets.parent = self class RouteTargets(object): """ Route target table .. attribute:: route_target Route target **type**\: list of :py:class:`RouteTarget <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.route_target = YList() self.route_target.parent = self self.route_target.name = 'route_target' class RouteTarget(object): """ Route target .. attribute:: type <key> Type of RT **type**\: :py:class:`BgpVrfRouteTargetEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_ipv4_bgp_cfg.BgpVrfRouteTargetEnum>` .. attribute:: as_or_four_byte_as as or four byte as **type**\: list of :py:class:`AsOrFourByteAs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget.AsOrFourByteAs>` .. attribute:: ipv4_address ipv4 address **type**\: list of :py:class:`Ipv4Address <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget.Ipv4Address>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.type = None self.as_or_four_byte_as = YList() self.as_or_four_byte_as.parent = self self.as_or_four_byte_as.name = 'as_or_four_byte_as' self.ipv4_address = YList() self.ipv4_address.parent = self self.ipv4_address.name = 'ipv4_address' class AsOrFourByteAs(object): """ as or four byte as .. attribute:: as_ <key> AS number **type**\: int **range:** 1..4294967295 .. attribute:: as_index <key> AS number Index **type**\: int **range:** 0..4294967295 .. attribute:: as_xx <key> AS number **type**\: int **range:** 0..4294967295 .. attribute:: stitching_rt <key> Stitching RT **type**\: int **range:** 0..1 """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.as_ = None self.as_index = None self.as_xx = None self.stitching_rt = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.as_ is None: raise YPYModelError('Key property as_ is None') if self.as_index is None: raise YPYModelError('Key property as_index is None') if self.as_xx is None: raise YPYModelError('Key property as_xx is None') if self.stitching_rt is None: raise YPYModelError('Key property stitching_rt is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:as-or-four-byte-as[Cisco-IOS-XR-ipv4-bgp-cfg:as = ' + str(self.as_) + '][Cisco-IOS-XR-ipv4-bgp-cfg:as-index = ' + str(self.as_index) + '][Cisco-IOS-XR-ipv4-bgp-cfg:as-xx = ' + str(self.as_xx) + '][Cisco-IOS-XR-ipv4-bgp-cfg:stitching-rt = ' + str(self.stitching_rt) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.as_ is not None: return True if self.as_index is not None: return True if self.as_xx is not None: return True if self.stitching_rt is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget.AsOrFourByteAs']['meta_info'] class Ipv4Address(object): """ ipv4 address .. attribute:: address <key> IP address **type**\: str **pattern:** (([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])\\.){3}([0\-9]\|[1\-9][0\-9]\|1[0\-9][0\-9]\|2[0\-4][0\-9]\|25[0\-5])(%[\\p{N}\\p{L}]+)? .. attribute:: address_index <key> IP address Index **type**\: int **range:** 0..65535 .. attribute:: stitching_rt <key> Stitching RT **type**\: int **range:** 0..1 """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.address = None self.address_index = None self.stitching_rt = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.address is None: raise YPYModelError('Key property address is None') if self.address_index is None: raise YPYModelError('Key property address_index is None') if self.stitching_rt is None: raise YPYModelError('Key property stitching_rt is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:ipv4-address[Cisco-IOS-XR-ipv4-bgp-cfg:address = ' + str(self.address) + '][Cisco-IOS-XR-ipv4-bgp-cfg:address-index = ' + str(self.address_index) + '][Cisco-IOS-XR-ipv4-bgp-cfg:stitching-rt = ' + str(self.stitching_rt) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.address is not None: return True if self.address_index is not None: return True if self.stitching_rt is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget.Ipv4Address']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.type is None: raise YPYModelError('Key property type is None') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:route-target[Cisco-IOS-XR-ipv4-bgp-cfg:type = ' + str(self.type) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.type is not None: return True if self.as_or_four_byte_as is not None: for child_ref in self.as_or_four_byte_as: if child_ref._has_data(): return True if self.ipv4_address is not None: for child_ref in self.ipv4_address: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets.RouteTarget']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:route-targets' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.route_target is not None: for child_ref in self.route_target: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets.RouteTargets']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:export-route-targets' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.route_targets is not None and self.route_targets._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportRouteTargets']['meta_info'] class VrfToGlobalExportRoutePolicy(object): """ Route policy for vrf to global export filtering .. attribute:: allow_imported_vpn TRUE Enable imported VPN paths to be exported to Default VRF.FALSE Disable imported VPN paths to be exported to Default VRF **type**\: bool .. attribute:: route_policy_name Vrf to global export route policy **type**\: str **mandatory**\: True .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self._is_presence = True self.allow_imported_vpn = None self.route_policy_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:vrf-to-global-export-route-policy' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.allow_imported_vpn is not None: return True if self.route_policy_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.VrfToGlobalExportRoutePolicy']['meta_info'] class ExportVrfOptions(object): """ Export VRF options .. attribute:: allow_imported_vpn TRUE Enable imported VPN paths to be exported to non\-default VRFFALSE Disable imported VPN paths to be exported to non\-default VRF **type**\: bool .. attribute:: import_stitching_rt TRUE Use stitchng RTs to import extranet pathsFALSE Use regular RTs to import extranet paths **type**\: bool """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self.allow_imported_vpn = None self.import_stitching_rt = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:export-vrf-options' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.allow_imported_vpn is not None: return True if self.import_stitching_rt is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.ExportVrfOptions']['meta_info'] class GlobalToVrfImportRoutePolicy(object): """ Route policy for global to vrf import filtering .. attribute:: advertise_as_vpn TRUE Enable advertising imported paths to PEsFALSE Disable advertising imported paths to PEs **type**\: bool .. attribute:: route_policy_name Global to vrf import route policy **type**\: str **mandatory**\: True .. attribute:: _is_presence Is present if this instance represents presence container else not **type**\: bool This class is a :ref:`presence class<presence-class>` """ _prefix = 'ipv4-bgp-cfg' _revision = '2015-08-27' def __init__(self): self.parent = None self._is_presence = True self.advertise_as_vpn = None self.route_policy_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:global-to-vrf-import-route-policy' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self._is_presence: return True if self.advertise_as_vpn is not None: return True if self.route_policy_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp.GlobalToVrfImportRoutePolicy']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ipv4-bgp-cfg:bgp' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.export_route_policy is not None: return True if self.export_route_targets is not None and self.export_route_targets._has_data(): return True if self.export_vrf_options is not None and self.export_vrf_options._has_data(): return True if self.global_to_vrf_import_route_policy is not None and self.global_to_vrf_import_route_policy._has_data(): return True if self.import_route_policy is not None: return True if self.import_route_targets is not None and self.import_route_targets._has_data(): return True if self.vrf_to_global_export_route_policy is not None and self.vrf_to_global_export_route_policy._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af.Bgp']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.af_name is None: raise YPYModelError('Key property af_name is None') if self.saf_name is None: raise YPYModelError('Key property saf_name is None') if self.topology_name is None: raise YPYModelError('Key property topology_name is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:af[Cisco-IOS-XR-infra-rsi-cfg:af-name = ' + str(self.af_name) + '][Cisco-IOS-XR-infra-rsi-cfg:saf-name = ' + str(self.saf_name) + '][Cisco-IOS-XR-infra-rsi-cfg:topology-name = ' + str(self.topology_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.af_name is not None: return True if self.saf_name is not None: return True if self.topology_name is not None: return True if self.bgp is not None and self.bgp._has_data(): return True if self.create is not None: return True if self.maximum_prefix is not None and self.maximum_prefix._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs.Af']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:afs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.af is not None: for child_ref in self.af: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.Afs']['meta_info'] class MulticastHost(object): """ Multicast host stack configuration .. attribute:: ipv4 IPv4 configuration **type**\: :py:class:`Ipv4 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.MulticastHost.Ipv4>` .. attribute:: ipv6 IPv6 configuration **type**\: :py:class:`Ipv6 <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Vrfs.Vrf.MulticastHost.Ipv6>` """ _prefix = 'ip-iarm-vrf-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.ipv4 = Vrfs.Vrf.MulticastHost.Ipv4() self.ipv4.parent = self self.ipv6 = Vrfs.Vrf.MulticastHost.Ipv6() self.ipv6.parent = self class Ipv4(object): """ IPv4 configuration .. attribute:: interface Default multicast host interface name **type**\: str **pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm) """ _prefix = 'ip-iarm-vrf-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.interface = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ip-iarm-vrf-cfg:ipv4' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.interface is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.MulticastHost.Ipv4']['meta_info'] class Ipv6(object): """ IPv6 configuration .. attribute:: interface Default multicast host interface name **type**\: str **pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm) """ _prefix = 'ip-iarm-vrf-cfg' _revision = '2015-11-09' def __init__(self): self.parent = None self.interface = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ip-iarm-vrf-cfg:ipv6' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.interface is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.MulticastHost.Ipv6']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-ip-iarm-vrf-cfg:multicast-host' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.ipv4 is not None and self.ipv4._has_data(): return True if self.ipv6 is not None and self.ipv6._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf.MulticastHost']['meta_info'] @property def _common_path(self): if self.vrf_name is None: raise YPYModelError('Key property vrf_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:vrfs/Cisco-IOS-XR-infra-rsi-cfg:vrf[Cisco-IOS-XR-infra-rsi-cfg:vrf-name = ' + str(self.vrf_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_name is not None: return True if self.afs is not None and self.afs._has_data(): return True if self.create is not None: return True if self.description is not None: return True if self.fallback_vrf is not None: return True if self.mode_big is not None: return True if self.multicast_host is not None and self.multicast_host._has_data(): return True if self.remote_route_filter_disable is not None: return True if self.vpn_id is not None and self.vpn_id._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs.Vrf']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:vrfs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf is not None: for child_ref in self.vrf: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Vrfs']['meta_info'] class GlobalAf(object): """ global af .. attribute:: afs VRF address family configuration **type**\: :py:class:`Afs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.GlobalAf.Afs>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.afs = GlobalAf.Afs() self.afs.parent = self class Afs(object): """ VRF address family configuration .. attribute:: af VRF address family configuration **type**\: list of :py:class:`Af <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.GlobalAf.Afs.Af>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.af = YList() self.af.parent = self self.af.name = 'af' class Af(object): """ VRF address family configuration .. attribute:: af_name <key> Address family **type**\: :py:class:`VrfAddressFamilyEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfAddressFamilyEnum>` .. attribute:: saf_name <key> Sub\-Address family **type**\: :py:class:`VrfSubAddressFamilyEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfSubAddressFamilyEnum>` .. attribute:: topology_name <key> Topology name **type**\: str **length:** 0..244 .. attribute:: create VRF configuration for a particular address family **type**\: :py:class:`Empty<ydk.types.Empty>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.af_name = None self.saf_name = None self.topology_name = None self.create = None @property def _common_path(self): if self.af_name is None: raise YPYModelError('Key property af_name is None') if self.saf_name is None: raise YPYModelError('Key property saf_name is None') if self.topology_name is None: raise YPYModelError('Key property topology_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:global-af/Cisco-IOS-XR-infra-rsi-cfg:afs/Cisco-IOS-XR-infra-rsi-cfg:af[Cisco-IOS-XR-infra-rsi-cfg:af-name = ' + str(self.af_name) + '][Cisco-IOS-XR-infra-rsi-cfg:saf-name = ' + str(self.saf_name) + '][Cisco-IOS-XR-infra-rsi-cfg:topology-name = ' + str(self.topology_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.af_name is not None: return True if self.saf_name is not None: return True if self.topology_name is not None: return True if self.create is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['GlobalAf.Afs.Af']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:global-af/Cisco-IOS-XR-infra-rsi-cfg:afs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.af is not None: for child_ref in self.af: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['GlobalAf.Afs']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:global-af' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.afs is not None and self.afs._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['GlobalAf']['meta_info'] class Srlg(object): """ srlg .. attribute:: enable Enable SRLG **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: groups Set of groups configured with SRLG **type**\: :py:class:`Groups <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Groups>` .. attribute:: inherit_nodes Set of inherit nodes configured with SRLG **type**\: :py:class:`InheritNodes <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.InheritNodes>` .. attribute:: interfaces Set of interfaces configured with SRLG **type**\: :py:class:`Interfaces <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces>` .. attribute:: srlg_names Set of SRLG name configuration **type**\: :py:class:`SrlgNames <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.SrlgNames>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.enable = None self.groups = Srlg.Groups() self.groups.parent = self self.inherit_nodes = Srlg.InheritNodes() self.inherit_nodes.parent = self self.interfaces = Srlg.Interfaces() self.interfaces.parent = self self.srlg_names = Srlg.SrlgNames() self.srlg_names.parent = self class Interfaces(object): """ Set of interfaces configured with SRLG .. attribute:: interface Interface configurations **type**\: list of :py:class:`Interface <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.interface = YList() self.interface.parent = self self.interface.name = 'interface' class Interface(object): """ Interface configurations .. attribute:: interface_name <key> Interface name **type**\: str **pattern:** (([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){3,4}\\d+\\.\\d+)\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]\*\\d+))\|(([a\-zA\-Z0\-9\_]\*\\d+/){2}([a\-zA\-Z0\-9\_]+))\|([a\-zA\-Z0\-9\_\-]\*\\d+)\|([a\-zA\-Z0\-9\_\-]\*\\d+\\.\\d+)\|(mpls)\|(dwdm) .. attribute:: enable Enable SRLG interface **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: include_optical Include optical configuration for an interface **type**\: :py:class:`IncludeOptical <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.IncludeOptical>` .. attribute:: interface_group Group configuration for an interface **type**\: :py:class:`InterfaceGroup <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.InterfaceGroup>` .. attribute:: interface_srlg_names SRLG Name configuration for an interface **type**\: :py:class:`InterfaceSrlgNames <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.InterfaceSrlgNames>` .. attribute:: values SRLG Value configuration for an interface **type**\: :py:class:`Values <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.Values>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.interface_name = None self.enable = None self.include_optical = Srlg.Interfaces.Interface.IncludeOptical() self.include_optical.parent = self self.interface_group = Srlg.Interfaces.Interface.InterfaceGroup() self.interface_group.parent = self self.interface_srlg_names = Srlg.Interfaces.Interface.InterfaceSrlgNames() self.interface_srlg_names.parent = self self.values = Srlg.Interfaces.Interface.Values() self.values.parent = self class IncludeOptical(object): """ Include optical configuration for an interface .. attribute:: enable Enable SRLG interface include optical **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: priority Priority for optical domain values **type**\: :py:class:`SrlgPriorityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.SrlgPriorityEnum>` **default value**\: default """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.enable = None self.priority = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:include-optical' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.enable is not None: return True if self.priority is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.IncludeOptical']['meta_info'] class InterfaceGroup(object): """ Group configuration for an interface .. attribute:: enable Enable SRLG interface group submode **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: group_names Set of group name under an interface **type**\: :py:class:`GroupNames <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.InterfaceGroup.GroupNames>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.enable = None self.group_names = Srlg.Interfaces.Interface.InterfaceGroup.GroupNames() self.group_names.parent = self class GroupNames(object): """ Set of group name under an interface .. attribute:: group_name Group name included under interface **type**\: list of :py:class:`GroupName <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.InterfaceGroup.GroupNames.GroupName>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.group_name = YList() self.group_name.parent = self self.group_name.name = 'group_name' class GroupName(object): """ Group name included under interface .. attribute:: group_name_index <key> Group name index **type**\: int **range:** 0..4294967295 .. attribute:: group_name Group name **type**\: str **mandatory**\: True .. attribute:: srlg_priority SRLG priority **type**\: :py:class:`SrlgPriorityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.SrlgPriorityEnum>` **default value**\: default """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.group_name_index = None self.group_name = None self.srlg_priority = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.group_name_index is None: raise YPYModelError('Key property group_name_index is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:group-name[Cisco-IOS-XR-infra-rsi-cfg:group-name-index = ' + str(self.group_name_index) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.group_name_index is not None: return True if self.group_name is not None: return True if self.srlg_priority is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.InterfaceGroup.GroupNames.GroupName']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:group-names' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.group_name is not None: for child_ref in self.group_name: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.InterfaceGroup.GroupNames']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:interface-group' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.enable is not None: return True if self.group_names is not None and self.group_names._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.InterfaceGroup']['meta_info'] class Values(object): """ SRLG Value configuration for an interface .. attribute:: value SRLG value data **type**\: list of :py:class:`Value <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.Values.Value>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.value = YList() self.value.parent = self self.value.name = 'value' class Value(object): """ SRLG value data .. attribute:: srlg_index <key> SRLG index **type**\: int **range:** 1..65535 .. attribute:: srlg_priority SRLG priority **type**\: :py:class:`SrlgPriorityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.SrlgPriorityEnum>` **default value**\: default .. attribute:: srlg_value SRLG value **type**\: int **range:** 0..4294967295 **mandatory**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_index = None self.srlg_priority = None self.srlg_value = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.srlg_index is None: raise YPYModelError('Key property srlg_index is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:value[Cisco-IOS-XR-infra-rsi-cfg:srlg-index = ' + str(self.srlg_index) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_index is not None: return True if self.srlg_priority is not None: return True if self.srlg_value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.Values.Value']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:values' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.value is not None: for child_ref in self.value: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.Values']['meta_info'] class InterfaceSrlgNames(object): """ SRLG Name configuration for an interface .. attribute:: interface_srlg_name SRLG name data **type**\: list of :py:class:`InterfaceSrlgName <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Interfaces.Interface.InterfaceSrlgNames.InterfaceSrlgName>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.interface_srlg_name = YList() self.interface_srlg_name.parent = self self.interface_srlg_name.name = 'interface_srlg_name' class InterfaceSrlgName(object): """ SRLG name data .. attribute:: srlg_name <key> SRLG name **type**\: str **length:** 0..64 """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.srlg_name is None: raise YPYModelError('Key property srlg_name is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:interface-srlg-name[Cisco-IOS-XR-infra-rsi-cfg:srlg-name = ' + str(self.srlg_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.InterfaceSrlgNames.InterfaceSrlgName']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:interface-srlg-names' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.interface_srlg_name is not None: for child_ref in self.interface_srlg_name: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface.InterfaceSrlgNames']['meta_info'] @property def _common_path(self): if self.interface_name is None: raise YPYModelError('Key property interface_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:interfaces/Cisco-IOS-XR-infra-rsi-cfg:interface[Cisco-IOS-XR-infra-rsi-cfg:interface-name = ' + str(self.interface_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.interface_name is not None: return True if self.enable is not None: return True if self.include_optical is not None and self.include_optical._has_data(): return True if self.interface_group is not None and self.interface_group._has_data(): return True if self.interface_srlg_names is not None and self.interface_srlg_names._has_data(): return True if self.values is not None and self.values._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces.Interface']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:interfaces' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.interface is not None: for child_ref in self.interface: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Interfaces']['meta_info'] class SrlgNames(object): """ Set of SRLG name configuration .. attribute:: srlg_name SRLG name configuration **type**\: list of :py:class:`SrlgName <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.SrlgNames.SrlgName>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_name = YList() self.srlg_name.parent = self self.srlg_name.name = 'srlg_name' class SrlgName(object): """ SRLG name configuration .. attribute:: srlg_name <key> SRLG name **type**\: str **length:** 0..64 .. attribute:: srlg_value SRLG value **type**\: int **range:** 0..4294967295 **mandatory**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_name = None self.srlg_value = None @property def _common_path(self): if self.srlg_name is None: raise YPYModelError('Key property srlg_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:srlg-names/Cisco-IOS-XR-infra-rsi-cfg:srlg-name[Cisco-IOS-XR-infra-rsi-cfg:srlg-name = ' + str(self.srlg_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_name is not None: return True if self.srlg_value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.SrlgNames.SrlgName']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:srlg-names' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_name is not None: for child_ref in self.srlg_name: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.SrlgNames']['meta_info'] class Groups(object): """ Set of groups configured with SRLG .. attribute:: group Group configurations **type**\: list of :py:class:`Group <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Groups.Group>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.group = YList() self.group.parent = self self.group.name = 'group' class Group(object): """ Group configurations .. attribute:: group_name <key> Group name **type**\: str **pattern:** [\\w\\\-\\.\:,\_@#%$\\+=\\\|;]+ .. attribute:: enable Enable SRLG group **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: group_values Set of SRLG values configured under a group **type**\: :py:class:`GroupValues <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Groups.Group.GroupValues>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.group_name = None self.enable = None self.group_values = Srlg.Groups.Group.GroupValues() self.group_values.parent = self class GroupValues(object): """ Set of SRLG values configured under a group .. attribute:: group_value Group SRLG values with attribute **type**\: list of :py:class:`GroupValue <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.Groups.Group.GroupValues.GroupValue>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.group_value = YList() self.group_value.parent = self self.group_value.name = 'group_value' class GroupValue(object): """ Group SRLG values with attribute .. attribute:: srlg_index <key> SRLG index **type**\: int **range:** 1..65535 .. attribute:: srlg_priority SRLG priority **type**\: :py:class:`SrlgPriorityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.SrlgPriorityEnum>` **default value**\: default .. attribute:: srlg_value SRLG value **type**\: int **range:** 0..4294967295 **mandatory**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_index = None self.srlg_priority = None self.srlg_value = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.srlg_index is None: raise YPYModelError('Key property srlg_index is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:group-value[Cisco-IOS-XR-infra-rsi-cfg:srlg-index = ' + str(self.srlg_index) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_index is not None: return True if self.srlg_priority is not None: return True if self.srlg_value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Groups.Group.GroupValues.GroupValue']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:group-values' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.group_value is not None: for child_ref in self.group_value: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Groups.Group.GroupValues']['meta_info'] @property def _common_path(self): if self.group_name is None: raise YPYModelError('Key property group_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:groups/Cisco-IOS-XR-infra-rsi-cfg:group[Cisco-IOS-XR-infra-rsi-cfg:group-name = ' + str(self.group_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.group_name is not None: return True if self.enable is not None: return True if self.group_values is not None and self.group_values._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Groups.Group']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:groups' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.group is not None: for child_ref in self.group: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.Groups']['meta_info'] class InheritNodes(object): """ Set of inherit nodes configured with SRLG .. attribute:: inherit_node Inherit node configurations **type**\: list of :py:class:`InheritNode <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.InheritNodes.InheritNode>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.inherit_node = YList() self.inherit_node.parent = self self.inherit_node.name = 'inherit_node' class InheritNode(object): """ Inherit node configurations .. attribute:: inherit_node_name <key> The inherit node name **type**\: str **pattern:** ((([a\-zA\-Z0\-9\_]\*\\d+)\|(\\\*))/){2}(([a\-zA\-Z0\-9\_]\*\\d+)\|(\\\*)) .. attribute:: enable Enable SRLG inherit node **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: inherit_node_values Set of SRLG values configured under an inherit node **type**\: :py:class:`InheritNodeValues <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.InheritNodes.InheritNode.InheritNodeValues>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.inherit_node_name = None self.enable = None self.inherit_node_values = Srlg.InheritNodes.InheritNode.InheritNodeValues() self.inherit_node_values.parent = self class InheritNodeValues(object): """ Set of SRLG values configured under an inherit node .. attribute:: inherit_node_value Inherit node SRLG value with attributes **type**\: list of :py:class:`InheritNodeValue <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.Srlg.InheritNodes.InheritNode.InheritNodeValues.InheritNodeValue>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.inherit_node_value = YList() self.inherit_node_value.parent = self self.inherit_node_value.name = 'inherit_node_value' class InheritNodeValue(object): """ Inherit node SRLG value with attributes .. attribute:: srlg_index <key> SRLG index **type**\: int **range:** 1..65535 .. attribute:: srlg_priority SRLG priority **type**\: :py:class:`SrlgPriorityEnum <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.SrlgPriorityEnum>` **default value**\: default .. attribute:: srlg_value SRLG value **type**\: int **range:** 0..4294967295 **mandatory**\: True """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.srlg_index = None self.srlg_priority = None self.srlg_value = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.srlg_index is None: raise YPYModelError('Key property srlg_index is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:inherit-node-value[Cisco-IOS-XR-infra-rsi-cfg:srlg-index = ' + str(self.srlg_index) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.srlg_index is not None: return True if self.srlg_priority is not None: return True if self.srlg_value is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.InheritNodes.InheritNode.InheritNodeValues.InheritNodeValue']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:inherit-node-values' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.inherit_node_value is not None: for child_ref in self.inherit_node_value: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.InheritNodes.InheritNode.InheritNodeValues']['meta_info'] @property def _common_path(self): if self.inherit_node_name is None: raise YPYModelError('Key property inherit_node_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:inherit-nodes/Cisco-IOS-XR-infra-rsi-cfg:inherit-node[Cisco-IOS-XR-infra-rsi-cfg:inherit-node-name = ' + str(self.inherit_node_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.inherit_node_name is not None: return True if self.enable is not None: return True if self.inherit_node_values is not None and self.inherit_node_values._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.InheritNodes.InheritNode']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:srlg/Cisco-IOS-XR-infra-rsi-cfg:inherit-nodes' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.inherit_node is not None: for child_ref in self.inherit_node: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg.InheritNodes']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:srlg' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.enable is not None: return True if self.groups is not None and self.groups._has_data(): return True if self.inherit_nodes is not None and self.inherit_nodes._has_data(): return True if self.interfaces is not None and self.interfaces._has_data(): return True if self.srlg_names is not None and self.srlg_names._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['Srlg']['meta_info'] class VrfGroups(object): """ vrf groups .. attribute:: vrf_group VRF group configuration **type**\: list of :py:class:`VrfGroup <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfGroups.VrfGroup>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.vrf_group = YList() self.vrf_group.parent = self self.vrf_group.name = 'vrf_group' class VrfGroup(object): """ VRF group configuration .. attribute:: vrf_group_name <key> VRF group name **type**\: str **length:** 0..32 .. attribute:: enable Enable VRF group **type**\: :py:class:`Empty<ydk.types.Empty>` .. attribute:: vrfs Set of VRFs configured under a VRF group **type**\: :py:class:`Vrfs <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfGroups.VrfGroup.Vrfs>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.vrf_group_name = None self.enable = None self.vrfs = VrfGroups.VrfGroup.Vrfs() self.vrfs.parent = self class Vrfs(object): """ Set of VRFs configured under a VRF group .. attribute:: vrf VRF configuration **type**\: list of :py:class:`Vrf <ydk.models.cisco_ios_xr.Cisco_IOS_XR_infra_rsi_cfg.VrfGroups.VrfGroup.Vrfs.Vrf>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.vrf = YList() self.vrf.parent = self self.vrf.name = 'vrf' class Vrf(object): """ VRF configuration .. attribute:: vrf_name <key> VRF name **type**\: str **length:** 0..32 """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.parent = None self.vrf_name = None @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') if self.vrf_name is None: raise YPYModelError('Key property vrf_name is None') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:vrf[Cisco-IOS-XR-infra-rsi-cfg:vrf-name = ' + str(self.vrf_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_name is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfGroups.VrfGroup.Vrfs.Vrf']['meta_info'] @property def _common_path(self): if self.parent is None: raise YPYModelError('parent is not set . Cannot derive path.') return self.parent._common_path +'/Cisco-IOS-XR-infra-rsi-cfg:vrfs' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf is not None: for child_ref in self.vrf: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfGroups.VrfGroup.Vrfs']['meta_info'] @property def _common_path(self): if self.vrf_group_name is None: raise YPYModelError('Key property vrf_group_name is None') return '/Cisco-IOS-XR-infra-rsi-cfg:vrf-groups/Cisco-IOS-XR-infra-rsi-cfg:vrf-group[Cisco-IOS-XR-infra-rsi-cfg:vrf-group-name = ' + str(self.vrf_group_name) + ']' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_group_name is not None: return True if self.enable is not None: return True if self.vrfs is not None and self.vrfs._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfGroups.VrfGroup']['meta_info'] @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:vrf-groups' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.vrf_group is not None: for child_ref in self.vrf_group: if child_ref._has_data(): return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['VrfGroups']['meta_info'] class SelectiveVrfDownload(object): """ selective vrf download .. attribute:: disable Disable selective VRF download **type**\: :py:class:`Empty<ydk.types.Empty>` """ _prefix = 'infra-rsi-cfg' _revision = '2015-07-30' def __init__(self): self.disable = None @property def _common_path(self): return '/Cisco-IOS-XR-infra-rsi-cfg:selective-vrf-download' def is_config(self): ''' Returns True if this instance represents config data else returns False ''' return True def _has_data(self): if not self.is_config(): return False if self.disable is not None: return True return False @staticmethod def _meta_info(): from ydk.models.cisco_ios_xr._meta import _Cisco_IOS_XR_infra_rsi_cfg as meta return meta._meta_table['SelectiveVrfDownload']['meta_info']

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0.061145

0.050128

0.877197

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0.823121

0.802225

0.779181

0.763574

0

0.01389

0.47845

128,517

3,384

372

37.977837

0.798621

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0.799238

0

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0.064007

0

1

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false

0

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0.006353

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0

null

0

1

0

1

0

null

0

7

12c47e702ad012acb9a419fdb316d00879b4f724

1,083

py

Python

__main__.py

Fxcilities/one-line-dpy

469a616ed4ab31c1b3adf526a60149346fdac433

[ "MIT" ]

2

2020-12-12T14:57:45.000Z

2021-08-24T03:54:45.000Z

__main__.py

Fxcilities/one-line-dpy

469a616ed4ab31c1b3adf526a60149346fdac433

[ "MIT" ]

null

__main__.py

Fxcilities/one-line-dpy

469a616ed4ab31c1b3adf526a60149346fdac433

[ "MIT" ]

null

import os; from dotenv import load_dotenv; load_dotenv(); import asyncio; import discord; from discord.ext import commands; bot = commands.Bot(command_prefix=">"); bot.remove_command('help'); exec('@bot.event\nasync def on_ready():\n print(f"Bot Ready as {bot.user} ({bot.user.id}) - Created by fxcilities#4728")'); exec ('@bot.command()\nasync def rocket(ctx):\n embed = discord.Embed(title="Rocket", description="This bot is made in one line. React to start something fun!", color=discord.Color.blue())\n msg = await ctx.send(embed=embed); await msg.add_reaction("🚀")\n def check(reaction, user):\n return user == ctx.author and str(reaction.emoji) == "🚀"\n reaction1, user1 = await bot.wait_for("reaction_add", check=check)\n await msg.edit(embed=discord.Embed(title="WEEEEEE 🔥🔥🚀", color=discord.Color.blurple(), description="Wow! You made it! Check out some other amazing bots such as [Essentials Bot](https://essentialsbot.xyz), [Bois Bot](https://bois-bot.tech), and [World Bot](https://top.gg/bot/700292147311542282)"))'); bot.run(os.getenv("token"))

541.5

1,082

0.713758

168

1,083

4.583333

0.535714

0.031169

0.044156

0.057143

0

0.025

0.113573

1,083

1

1,083

0.771875

0

2

0.786704

0.207756

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false

0

1

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1

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null

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1

0

1

0

null

0

1

0

1

0

8

420bad47675c7d8c8695896d762524fe7209159b

164

py

Python

tsfel/classification/__init__.py

TSFDlib/TSFEL

a4c30acc93dd3717bf93b19e59c3dc927903caf2

[ "MIT" ]

1

2020-08-02T03:26:32.000Z

tsfel/classification/__init__.py

TSFDlib/TSFEL

a4c30acc93dd3717bf93b19e59c3dc927903caf2

[ "MIT" ]

null

tsfel/classification/__init__.py

TSFDlib/TSFEL

a4c30acc93dd3717bf93b19e59c3dc927903caf2

[ "MIT" ]

null

from TSFEL.tsfel.classification.supervised_learning import find_best_slclassifier from TSFEL.tsfel.classification.hyperparameters_tunning import hyperparam_tunning

54.666667

81

0.914634

19

164

7.631579

0.631579

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0.193103

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0

0.04878

164

2

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0

1

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true

0

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null

0

1

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1

0

1

0

7

426c0589709796fbb313d1826d2d931f2356a1ce

14,142

py

Python

enCount/integration/experiments_mock.py

mstrazar/enCount

dcff565ce96afe37aa8a41995637d00cce02360d

[ "MIT" ]

null

enCount/integration/experiments_mock.py

mstrazar/enCount

dcff565ce96afe37aa8a41995637d00cce02360d

[ "MIT" ]

null

enCount/integration/experiments_mock.py

mstrazar/enCount

dcff565ce96afe37aa8a41995637d00cce02360d

[ "MIT" ]

null

# Mock return of URL fetch for ID def get_online_list(sample_name): return {sample_name: [{'Controlled by': '/files/ENCFF667EXM/', 'Experiment target': 'TARDBP-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR134JRE', 'Size': '2097429588', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF513YBI', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '2', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': 'fa266ef0de969f7a65371dcecee97718', 'File accession': 'ENCFF239VZF', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF239VZF/@@download/ENCFF239VZF.fastq.gz', 'Paired end': '2', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '', 'Experiment target': 'Non-specific target control-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR129RWD', 'Size': '2457367686', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF891EGO', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '2', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': 'd88f780a73d5d893cc605747593f3d45', 'File accession': 'ENCFF667EXM', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF667EXM/@@download/ENCFF667EXM.fastq.gz', 'Paired end': '2', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '/files/ENCFF569YVH/', 'Experiment target': 'TARDBP-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR134JRE', 'Size': '2022894136', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF624OCC', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '1', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': '2cbc7a72d60147a5d3aa196a1b4fdfd6', 'File accession': 'ENCFF604UQO', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF604UQO/@@download/ENCFF604UQO.fastq.gz', 'Paired end': '2', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '', 'Experiment target': 'Non-specific target control-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR129RWD', 'Size': '2365716737', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF726LTF', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '1', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': 'f8b52d8de46ec0c27c9036b1863ce246', 'File accession': 'ENCFF569YVH', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF569YVH/@@download/ENCFF569YVH.fastq.gz', 'Paired end': '2', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '/files/ENCFF891EGO/', 'Experiment target': 'TARDBP-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR134JRE', 'Size': '2012751063', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF239VZF', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '2', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': 'd6e5a7a5295432e95198cf4c474a5122', 'File accession': 'ENCFF513YBI', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF513YBI/@@download/ENCFF513YBI.fastq.gz', 'Paired end': '1', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '', 'Experiment target': 'Non-specific target control-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR129RWD', 'Size': '2393221685', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF667EXM', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '2', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': '0ab5a31c32292d4ef03935837401e4d1', 'File accession': 'ENCFF891EGO', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF891EGO/@@download/ENCFF891EGO.fastq.gz', 'Paired end': '1', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '/files/ENCFF726LTF/', 'Experiment target': 'TARDBP-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR134JRE', 'Size': '1951450497', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF604UQO', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '1', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': '5d97fc02c972e5fdb9486625d6567523', 'File accession': 'ENCFF624OCC', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF624OCC/@@download/ENCFF624OCC.fastq.gz', 'Paired end': '1', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}, {'Controlled by': '', 'Experiment target': 'Non-specific target control-human', 'Library size range': '>200', 'Library made from': 'polyadenylated mRNA', 'Biosample life stage': 'adult', 'Audit INTERNAL_ACTION': 'inconsistent assay_term_id, NTR assay', 'Platform': 'HiSeq 2000', 'Biosample term id': 'EFO:0002067', 'Experiment accession': 'ENCSR129RWD', 'Size': '2299772019', 'Assay': 'shRNA knockdown followed by RNA-seq', 'Library lysis method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library fragmentation method': 'chemical (Illumina TruSeq)', 'Library crosslinking method': '', 'Audit ERROR': '', 'Paired with': 'ENCFF569YVH', 'Run type': 'paired-ended', 'Biosample treatments': '', 'Project': 'ENCODE', 'Technical replicate': '1', 'Audit NOT_COMPLIANT': '', 'Antibody accession': '', 'Biosample sex': 'female', 'Biosample synchronization stage': '', 'Library extraction method': 'Maxwell 16 LEV simpleRNA Cells Kit (Promega cat#: AS1270)', 'Library depleted in': '', 'Derived from': '', 'Mapped read length': '', 'Biosample organism': 'Homo sapiens', 'RBNS protein concentration': '', 'Experiment date released': '2014-10-16', 'Audit WARNING': 'missing flowcell_details', 'Biological replicate(s)': '1', 'Lab': 'Brenton Graveley, UConn', 'Output type': 'reads', 'Biosample term name': 'K562', 'md5sum': 'bfebdf38bc093f701f09e0ba083a8ef0', 'File accession': 'ENCFF726LTF', 'Biosample Age': '53 year', 'Read length': '100', 'Biosample type': 'immortalized cell line', 'File Status': 'released', 'Biosample subcellular fraction term name': '', 'File download URL': 'https://www.encodeproject.org/files/ENCFF726LTF/@@download/ENCFF726LTF.fastq.gz', 'Paired end': '1', 'File format': 'fastq', 'Assembly': '', 'Biosample phase': ''}]}

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13

42b0f11116931d50a7ec6c70ea5951ccc01c0a48

52

py

Python

tests/test_canvenom.py

robotpy/robotpy-playingwithfusion

1afa00bc88e50f2c3c25ac1fc92ce40e70d41305

[ "Apache-2.0" ]

1

2021-03-21T11:16:52.000Z

tests/test_canvenom.py

robotpy/robotpy-playingwithfusion

1afa00bc88e50f2c3c25ac1fc92ce40e70d41305

[ "Apache-2.0" ]

4

2021-03-20T23:29:49.000Z

2022-03-04T21:28:31.000Z

tests/test_canvenom.py

robotpy/robotpy-playingwithfusion

1afa00bc88e50f2c3c25ac1fc92ce40e70d41305

[ "Apache-2.0" ]

null

import playingwithfusion def test_pwf(): pass

8.666667

24

0.730769

6

52

6.166667

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0

0.211538

52

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25

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0

1

0

null

0

1

0

1

0

7

c4176a387685389413ae4cecf5901b7594e1c2bb

2,072

py

Python

akdigitalpy/TwosComplement.py

AbhijeetJK/akdigitalpy

94b0739cff1b37c838b13857b8d08a5a7c5243f9

[ "MIT" ]

null

akdigitalpy/TwosComplement.py

AbhijeetJK/akdigitalpy

94b0739cff1b37c838b13857b8d08a5a7c5243f9

[ "MIT" ]

null

akdigitalpy/TwosComplement.py

AbhijeetJK/akdigitalpy

94b0739cff1b37c838b13857b8d08a5a7c5243f9

[ "MIT" ]

null

def TwosComplementOf(n): if isinstance(n,str) == True: binintnum = int(n) binmun = int("{0:08b}".format(binintnum)) strnum = str(binmun) size = len(strnum) idx = size -1 while idx >= 0: if strnum[idx] == '1': break idx = idx - 1 if idx == -1: return '1'+strnum position = idx-1 while position >= 0: if strnum[position] == '1': strnum = list(strnum) strnum[position] ='0' strnum = ''.join(strnum) else: strnum = list(strnum) strnum[position] = '1' strnum = ''.join(strnum) position = position-1 return strnum else: binmun = int("{0:08b}".format(n)) strnum = str(binmun) size = len(strnum) idx = size - 1 while idx >= 0: if strnum[idx] == '1': break idx = idx - 1 if idx == -1: return '1' + strnum position = idx - 1 while position >= 0: if strnum[position] == '1': strnum = list(strnum) strnum[position] = '0' strnum = ''.join(strnum) else: strnum = list(strnum) strnum[position] = '1' strnum = ''.join(strnum) position = position - 1 return strnum

35.724138

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0.29971

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0

1

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null

0

9

c4309663ebb58238547f6314f533c8e102b28a13

138

py

Python

src/glip/__init__.py

anibali/glip

50359cdab0064ce233f368039439f4ac1e39e0f9

[ "Apache-2.0" ]

null

src/glip/__init__.py

anibali/glip

50359cdab0064ce233f368039439f4ac1e39e0f9

[ "Apache-2.0" ]

null

src/glip/__init__.py

anibali/glip

50359cdab0064ce233f368039439f4ac1e39e0f9

[ "Apache-2.0" ]

null

from glip.config import * from glip.gl.context import * from glip.gl.input import * from glip.gl.objects import * from glip.math import *

23

29

0.76087

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138

4.565217

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0.380952

0.533333

0.457143

0

0.144928

138

5

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27.6

0.889831

0

1

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true

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null

0

1

0

1

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1

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8

671768bd470e73b0ee10cd4ef69156114c10a7b9

162

py

Python

hulusubs_dl/__init__.py

HacDan/Hulusubs_dl

e8b5faeb8197aaf897c06b35da34942155a94c16

[ "MIT" ]

42

2015-09-29T06:07:17.000Z

2020-12-27T19:34:47.000Z

hulusubs_dl/__init__.py

HacDan/Hulusubs_dl

e8b5faeb8197aaf897c06b35da34942155a94c16

[ "MIT" ]

19

2016-07-10T18:14:37.000Z

2020-12-29T07:33:12.000Z

hulusubs_dl/__init__.py

HacDan/Hulusubs_dl

e8b5faeb8197aaf897c06b35da34942155a94c16

[ "MIT" ]

14

2016-07-06T02:56:16.000Z

2020-12-09T00:50:57.000Z

# #!/usr/bin/env python # # -*- coding: utf-8 -*- # # from hulusubs_dl import cust_utils # from hulusubs_dl import __version__ # from hulusubs_dl import hulu_api

23.142857

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4.5

0.666667

0.333333

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0.555556

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162

6

38

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1

0

null

0

1

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7

67481025eda9a1c51f39055430b7b416b714a56e

183

py

Python

sc2/constants.py

drakonnan1st/JackBot

345df784098cb9eb055b3901fe7455807c58a4e1

[ "MIT" ]

null

sc2/constants.py

drakonnan1st/JackBot

345df784098cb9eb055b3901fe7455807c58a4e1

[ "MIT" ]

null

sc2/constants.py

drakonnan1st/JackBot

345df784098cb9eb055b3901fe7455807c58a4e1

[ "MIT" ]

null

"""Groups the constants from sc2""" from .ids.ability_id import * from .ids.buff_id import * from .ids.effect_id import * from .ids.unit_typeid import * from .ids.upgrade_id import *

26.142857

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183

4.4

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0.393939

0.340909

0

0.006329

0.136612

183

6

36

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1

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0

1

0

7

674a98c7857812beebf20317b2a821bd0a835b08

2,134

py

Python

tests/types/test_string_annotations.py

nyejon/strawberry

664fde292fe2186c3e33e8cae79964b866fa5822

[ "MIT" ]

1

2021-05-26T18:31:11.000Z

tests/types/test_string_annotations.py

nyejon/strawberry

664fde292fe2186c3e33e8cae79964b866fa5822

[ "MIT" ]

43

2021-07-05T22:51:03.000Z

2022-03-29T10:44:58.000Z

tests/types/test_string_annotations.py

nyejon/strawberry

664fde292fe2186c3e33e8cae79964b866fa5822

[ "MIT" ]

null

# type: ignore from typing import List, Optional import strawberry def test_basic_types(): @strawberry.type class Query: name: "str" age: "int" definition = Query._type_definition assert definition.name == "Query" assert len(definition.fields) == 2 assert definition.fields[0].graphql_name == "name" assert definition.fields[0].type == str assert definition.fields[1].graphql_name == "age" assert definition.fields[1].type == int def test_optional(): @strawberry.type class Query: name: "Optional[str]" age: "Optional[int]" definition = Query._type_definition assert definition.name == "Query" assert len(definition.fields) == 2 assert definition.fields[0].graphql_name == "name" assert definition.fields[0].type == str assert definition.fields[0].is_optional assert definition.fields[1].graphql_name == "age" assert definition.fields[1].type == int assert definition.fields[1].is_optional def test_basic_list(): @strawberry.type class Query: names: "List[str]" definition = Query._type_definition assert definition.name == "Query" assert len(definition.fields) == 1 assert definition.fields[0].graphql_name == "names" assert definition.fields[0].is_list assert definition.fields[0].type is None assert definition.fields[0].is_optional is False assert definition.fields[0].child.type == str assert definition.fields[0].child.is_optional is False def test_list_of_types(): global User @strawberry.type class User: name: str @strawberry.type class Query: users: "List[User]" definition = Query._type_definition assert definition.name == "Query" assert len(definition.fields) == 1 assert definition.fields[0].graphql_name == "users" assert definition.fields[0].is_list assert definition.fields[0].type is None assert definition.fields[0].is_optional is False assert definition.fields[0].child.type == User assert definition.fields[0].child.is_optional is False del User

24.25

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2,134

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1

0

1

0

null

0

1

0

9

67636e67b5e0674a32f8d82c33f6a254559aada6

27,278

py

Python

python/deprecated/analysis/plt_times.py

JimmyZhang12/predict-T

8ae818b0791104de20633ce91e6d633cda7445b3

[ "MIT" ]

1

2020-05-25T00:33:59.000Z

python/deprecated/analysis/plt_times.py

JimmyZhang12/predict-T

8ae818b0791104de20633ce91e6d633cda7445b3

[ "MIT" ]

13

2020-01-30T22:34:13.000Z

2020-06-25T13:54:57.000Z

python/deprecated/analysis/plt_times.py

JimmyZhang12/predict-T

8ae818b0791104de20633ce91e6d633cda7445b3

[ "MIT" ]

1

2020-10-13T05:58:58.000Z

import pandas as pd import glob import numpy as np import math import sys import matplotlib.pyplot as plt import argparse #------------------------------------------------------------------------------------------------ # Base Systems for Characterization: # 4 Mechanism, [decor, sensor, uarch, signature] # 7 Benchmarks, [dijkstra, fft, ffti, qsort, sha, toast, untoast] # 3 PDN/CPU, [mobile, laptop, desktop] #------------------------------------------------------------------------------------------------ mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [31090,63448,59109,67372,20112,36405,52475], "IdealSensor" : [33944,65493,62643,66770,20452,34114,53154], "uArchEvent" : [31942,67464,63322,68689,25699,42591,56181], "Signature" : [30337,65927,62660,67223,21057,37316,52310], "T.a.S." : [1,1,1,1,1,1,1], "InstPending" : [1,1,1,1,1,1,1] } laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [72642,69036,68759,58794,55161,78257,100496], "IdealSensor" : [68085,56412,53436,63161,29677,53859,45715], "uArchEvent" : [57103,53999,51468,64172,28010,49502,50900], "Signature" : [53732,60792,57012,58778,41080,47613,61685], "T.a.S." : [1,1,1,1,1,1,1], "InstPending" : [1,1,1,1,1,1,1] } desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [57711,64126,62402,68575,51750,71038,97944], "IdealSensor" : [61854,68579,64148,76647,56137,80525,110416], "uArchEvent" : [61218,66537,63043,70047,56806,76683,105944], "Signature" : [57071,65799,62865,68764,53216,74062,103314], "T.a.S." : [1,1,1,1,1,1,1], "InstPending" : [1,1,1,1,1,1,1] } speedup_mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(mobile["DecorOnly"],mobile["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(mobile["IdealSensor"],mobile["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(mobile["uArchEvent"],mobile["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(mobile["Signature"],mobile["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(mobile["T.a.S."],mobile["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(mobile["InstPending"],mobile["DecorOnly"])] } speedup_laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(laptop["DecorOnly"],laptop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(laptop["IdealSensor"],laptop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(laptop["uArchEvent"],laptop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(laptop["Signature"],laptop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(laptop["T.a.S."],laptop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(laptop["InstPending"],laptop["DecorOnly"])] } speedup_desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(desktop["DecorOnly"],desktop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(desktop["IdealSensor"],desktop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(desktop["uArchEvent"],desktop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(desktop["Signature"],desktop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(desktop["T.a.S."],desktop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(desktop["InstPending"],desktop["DecorOnly"])] } data = [speedup_mobile, speedup_laptop, speedup_desktop] name = ["Mobile", "Laptop", "Desktop"] tick_labels = ["DecorOnly", "IdealSensor", "uArchEvent", "Signature"] benchmarks = ["dijkstra","fft","ffti","qsort","sha","toast","untoast"] fname = ["speedup_mobile.png", "speedup_laptop.png", "speedup_desktop.png"] bounds = [[0.0,2.5,0.1],[0.0,2.5,0.1],[0.0,2.5,0.1]] for k in range(len(data)): df=[data[k]["DecorOnly"],data[k]["IdealSensor"],data[k]["uArchEvent"],data[k]["Signature"]] pos = list(range(len(df))) width = 0.125 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="dijkstra", color="w", hatch="/"*1, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="fft", color="w", hatch="o"*2, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="ffti", color="w", hatch="X"*4, fill="False", linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="qsort", color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="sha", color="w", hatch="-"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="toast", color="w", hatch='\\'*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="untoast", color="w", hatch="."*4, fill=True, linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[k]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[k][0],bounds[k][1],bounds[k][2])) ax.set_ylim(bounds[k][0],bounds[k][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[k]) plt.show() it = \ { "names" : ["Mobile","Laptop","Desktop"], "IdealSensor" : [sum(speedup_mobile["IdealSensor"])/len(speedup_mobile["IdealSensor"]), \ sum(speedup_laptop["IdealSensor"])/len(speedup_laptop["IdealSensor"]), \ sum(speedup_desktop["IdealSensor"])/len(speedup_desktop["IdealSensor"])], "uArchEvent" : [sum(speedup_mobile["uArchEvent"])/len(speedup_mobile["uArchEvent"]), \ sum(speedup_laptop["uArchEvent"])/len(speedup_laptop["uArchEvent"]), \ sum(speedup_desktop["uArchEvent"])/len(speedup_desktop["uArchEvent"])], "Signature" : [sum(speedup_mobile["Signature"])/len(speedup_mobile["Signature"]), \ sum(speedup_laptop["Signature"])/len(speedup_laptop["Signature"]), \ sum(speedup_desktop["Signature"])/len(speedup_desktop["Signature"])], "T.a.S." : [sum(speedup_mobile["T.a.S."])/len(speedup_mobile["T.a.S."]), \ sum(speedup_laptop["T.a.S."])/len(speedup_laptop["T.a.S."]), \ sum(speedup_desktop["T.a.S."])/len(speedup_desktop["T.a.S."])], "InstPending" : [sum(speedup_mobile["InstPending"])/len(speedup_mobile["InstPending"]), \ sum(speedup_laptop["InstPending"])/len(speedup_laptop["InstPending"]), \ sum(speedup_desktop["InstPending"])/len(speedup_desktop["InstPending"])], } name = ["Average Speedup Across Systems"] tick_labels = ["IdealSensor", "uArchEvent", "Signature"] benchmarks = ["Mobile","Latop","Desktop"] fname = ["speedup_original.png"] bounds = [[0,2,0.1,0]] df=[it["IdealSensor"],it["uArchEvent"],it["Signature"]] pos = list(range(len(df))) width = 0.2 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="\\"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="X"*4, fill="True", linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[0]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[0][0],bounds[0][1],bounds[0][2])) ax.set_ylim(bounds[0][0],bounds[0][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") b = ax.get_ygridlines() b[bounds[0][3]].set_color('k') ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[0]) plt.show() #------------------------------------------------------------------------------------------------ # System w/throttle on restore from DeCoR: # 6 Mechanism, [decor, sensor, uarch, signature, T.a.S., InstPending] # 7 Benchmarks, [dijkstra, fft, ffti, qsort, sha, toast, untoast] # 3 PDN/CPU, [mobile, laptop, desktop] #------------------------------------------------------------------------------------------------ mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [28098,67612,62139,67636,20724,40895,52236], "IdealSensor" : [28514,66632,63939,68171,19947,42651,54294], "uArchEvent" : [32041,68891,65767,70439,23166,43036,56343], "Signature" : [29793,66790,64205,67635,19823,41566,52882], "T.a.S." : [40470,67396,63857,66647,25576,44067,63489], "InstPending" : [32003,65364,60882,68886,22917,45615,54567] } laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [70445,65184,62909,62385,54590,62252,82334], "IdealSensor" : [44243,56213,52974,63043,27914,49397,41887], "uArchEvent" : [40433,53999,51468,64540,29108,50093,47674], "Signature" : [63819,60527,57595,62340,43048,53177,61285], "T.a.S." : [59462,53868,50729,63739,29195,46762,43347], "InstPending" : [67375,60215,63580,64120,40961,53401,51883] } desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [60137,61940,63114,70465,54424,77832,105528], "IdealSensor" : [61576,68604,64093,77183,56344,80881,111091], "uArchEvent" : [61624,63859,63581,70383,54852,75369,107261], "Signature" : [60594,67262,62996,72555,55553,77343,106184], "T.a.S." : [60265,64140,63860,69893,54406,79301,108210], "InstPending" : [60049,62074,63189,71477,55950,76971,108127] } speedup_mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(mobile["DecorOnly"],mobile["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(mobile["IdealSensor"],mobile["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(mobile["uArchEvent"],mobile["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(mobile["Signature"],mobile["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(mobile["T.a.S."],mobile["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(mobile["InstPending"],mobile["DecorOnly"])] } speedup_laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(laptop["DecorOnly"],laptop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(laptop["IdealSensor"],laptop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(laptop["uArchEvent"],laptop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(laptop["Signature"],laptop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(laptop["T.a.S."],laptop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(laptop["InstPending"],laptop["DecorOnly"])] } speedup_desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(desktop["DecorOnly"],desktop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(desktop["IdealSensor"],desktop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(desktop["uArchEvent"],desktop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(desktop["Signature"],desktop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(desktop["T.a.S."],desktop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(desktop["InstPending"],desktop["DecorOnly"])] } data = [speedup_mobile, speedup_laptop, speedup_desktop] name = ["Mobile Throttle on Restore", "Laptop Throttle on Restore", "Desktop Throttle on Restore"] tick_labels = ["DecorOnly", "IdealSensor", "uArchEvent", "Signature", "T.a.S", "InstPending"] benchmarks = ["dijkstra","fft","ffti","qsort","sha","toast","untoast"] fname = ["speedup_mobile_tor.png", "speedup_laptop_tor.png", "speedup_desktop_tor.png"] bounds = [[0.0,2.0,0.1],[0.0,2.0,0.1],[0.0,2.0,0.1]] for k in range(len(data)): df=[data[k]["DecorOnly"],data[k]["IdealSensor"],data[k]["uArchEvent"],data[k]["Signature"],data[k]["T.a.S."],data[k]["InstPending"]] pos = list(range(len(df))) width = 0.125 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="dijkstra", color="w", hatch="/"*1, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="fft", color="w", hatch="o"*2, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="ffti", color="w", hatch="X"*4, fill="False", linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="qsort", color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="sha", color="w", hatch="-"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="toast", color="w", hatch='\\'*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="untoast", color="w", hatch="."*4, fill=True, linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[k]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[k][0],bounds[k][1],bounds[k][2])) ax.set_ylim(bounds[k][0],bounds[k][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[k]) plt.show() it = \ { "names" : ["Mobile","Laptop","Desktop"], "IdealSensor" : [sum(speedup_mobile["IdealSensor"])/len(speedup_mobile["IdealSensor"]), \ sum(speedup_laptop["IdealSensor"])/len(speedup_laptop["IdealSensor"]), \ sum(speedup_desktop["IdealSensor"])/len(speedup_desktop["IdealSensor"])], "uArchEvent" : [sum(speedup_mobile["uArchEvent"])/len(speedup_mobile["uArchEvent"]), \ sum(speedup_laptop["uArchEvent"])/len(speedup_laptop["uArchEvent"]), \ sum(speedup_desktop["uArchEvent"])/len(speedup_desktop["uArchEvent"])], "Signature" : [sum(speedup_mobile["Signature"])/len(speedup_mobile["Signature"]), \ sum(speedup_laptop["Signature"])/len(speedup_laptop["Signature"]), \ sum(speedup_desktop["Signature"])/len(speedup_desktop["Signature"])], "T.a.S." : [sum(speedup_mobile["T.a.S."])/len(speedup_mobile["T.a.S."]), \ sum(speedup_laptop["T.a.S."])/len(speedup_laptop["T.a.S."]), \ sum(speedup_desktop["T.a.S."])/len(speedup_desktop["T.a.S."])], "InstPending" : [sum(speedup_mobile["InstPending"])/len(speedup_mobile["InstPending"]), \ sum(speedup_laptop["InstPending"])/len(speedup_laptop["InstPending"]), \ sum(speedup_desktop["InstPending"])/len(speedup_desktop["InstPending"])], } name = ["Average Speedup Across Systems"] tick_labels = ["IdealSensor", "uArchEvent", "Signature", "T.a.S.", "InstPending"] benchmarks = ["Mobile","Latop","Desktop"] fname = ["speedup_constrained.png"] bounds = [[0,2,0.1,0]] df=[it["IdealSensor"],it["uArchEvent"],it["Signature"],it["T.a.S."],it["InstPending"]] pos = list(range(len(df))) width = 0.2 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="\\"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="X"*4, fill="True", linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[0]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[0][0],bounds[0][1],bounds[0][2])) ax.set_ylim(bounds[0][0],bounds[0][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") b = ax.get_ygridlines() b[bounds[0][3]].set_color('k') ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[0]) plt.show() #------------------------------------------------------------------------------------------------ # System w/throttle on restore from DeCoR and Harvard PDNs for each # 6 Mechanism, [decor, sensor, uarch, signature, T.a.S., InstPending] # 7 Benchmarks, [dijkstra, fft, ffti, qsort, sha, toast, untoast] # 3 PDN/CPU, [mobile, laptop, desktop] #------------------------------------------------------------------------------------------------ mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [32846,58489,56254,68327,19005,33934,50720], "IdealSensor" : [42124,58621,56386,69668,19580,35955,55040], "uArchEvent" : [38324,59028,56121,68284,19163,37111,51255], "Signature" : [34422,59126,55847,68771,19229,35038,50343], "T.a.S." : [37677,58643,56266,70464,25292,41389,61009], "InstPending" : [33424,58625,56390,70242,23759,40431,52858] } laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [14453,53604,50600,61527,17487,28794,36208], "IdealSensor" : [31336,55554,53482,62805,25856,40182,43012], "uArchEvent" : [23599,53906,50600,63586,18579,33920,36303], "Signature" : [21452,53593,49958,61492,17532,28485,37635], "T.a.S." : [19093,53746,50851,64126,20117,33115,42520], "InstPending" : [18413,53608,50727,59645,24249,37304,42428] } desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [15520,57650,55070,61485,21185,34999,37827], "IdealSensor" : [22163,57918,55622,62625,22357,36333,41556], "uArchEvent" : [21050,56276,53668,67881,18891,34582,38341], "Signature" : [27095,58104,54685,61782,21687,34974,36409], "T.a.S." : [14870,56012,53404,68220,21883,37333,42417], "InstPending" : [13947,57122,53535,63290,23935,37471,42282] } speedup_mobile = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(mobile["DecorOnly"],mobile["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(mobile["IdealSensor"],mobile["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(mobile["uArchEvent"],mobile["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(mobile["Signature"],mobile["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(mobile["T.a.S."],mobile["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(mobile["InstPending"],mobile["DecorOnly"])] } speedup_laptop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(laptop["DecorOnly"],laptop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(laptop["IdealSensor"],laptop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(laptop["uArchEvent"],laptop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(laptop["Signature"],laptop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(laptop["T.a.S."],laptop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(laptop["InstPending"],laptop["DecorOnly"])] } speedup_desktop = \ { "names" : ["dijkstra","fft","ffti","qsort","sha","toast","untoast"], "DecorOnly" : [baseline/test for test,baseline in zip(desktop["DecorOnly"],desktop["DecorOnly"])], "IdealSensor" : [baseline/test for test,baseline in zip(desktop["IdealSensor"],desktop["DecorOnly"])], "uArchEvent" : [baseline/test for test,baseline in zip(desktop["uArchEvent"],desktop["DecorOnly"])], "Signature" : [baseline/test for test,baseline in zip(desktop["Signature"],desktop["DecorOnly"])], "T.a.S." : [baseline/test for test,baseline in zip(desktop["T.a.S."],desktop["DecorOnly"])], "InstPending" : [baseline/test for test,baseline in zip(desktop["InstPending"],desktop["DecorOnly"])] } data = [speedup_mobile, speedup_laptop, speedup_desktop] name = ["Mobile Throttle on Restore and Harvard PDN", "Laptop Throttle on Restore and Harvard PDN", "Desktop Throttle on Restore and Harvard PDN"] tick_labels = ["DecorOnly", "IdealSensor", "uArchEvent", "Signature", "T.a.S", "InstPending"] benchmarks = ["dijkstra","fft","ffti","qsort","sha","toast","untoast"] fname = ["speedup_mobile_harvard_tor.png", "speedup_laptop_harvard_tor.png", "speedup_desktop_harvard_tor.png"] bounds = [[0.0,1.5,0.1],[0.0,1.5,0.1],[0.0,1.5,0.1]] for k in range(len(data)): df=[data[k]["DecorOnly"],data[k]["IdealSensor"],data[k]["uArchEvent"],data[k]["Signature"],data[k]["T.a.S."],data[k]["InstPending"]] pos = list(range(len(df))) width = 0.125 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="dijkstra", color="w", hatch="/"*1, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="fft", color="w", hatch="o"*2, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="ffti", color="w", hatch="X"*4, fill="False", linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="qsort", color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="sha", color="w", hatch="-"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="toast", color="w", hatch='\\'*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label="untoast", color="w", hatch="."*4, fill=True, linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[k]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[k][0],bounds[k][1],bounds[k][2])) ax.set_ylim(bounds[k][0],bounds[k][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[k]) plt.show() it = \ { "names" : ["Mobile","Laptop","Desktop"], "IdealSensor" : [sum(speedup_mobile["IdealSensor"])/len(speedup_mobile["IdealSensor"]), \ sum(speedup_laptop["IdealSensor"])/len(speedup_laptop["IdealSensor"]), \ sum(speedup_desktop["IdealSensor"])/len(speedup_desktop["IdealSensor"])], "uArchEvent" : [sum(speedup_mobile["uArchEvent"])/len(speedup_mobile["uArchEvent"]), \ sum(speedup_laptop["uArchEvent"])/len(speedup_laptop["uArchEvent"]), \ sum(speedup_desktop["uArchEvent"])/len(speedup_desktop["uArchEvent"])], "Signature" : [sum(speedup_mobile["Signature"])/len(speedup_mobile["Signature"]), \ sum(speedup_laptop["Signature"])/len(speedup_laptop["Signature"]), \ sum(speedup_desktop["Signature"])/len(speedup_desktop["Signature"])], "T.a.S." : [sum(speedup_mobile["T.a.S."])/len(speedup_mobile["T.a.S."]), \ sum(speedup_laptop["T.a.S."])/len(speedup_laptop["T.a.S."]), \ sum(speedup_desktop["T.a.S."])/len(speedup_desktop["T.a.S."])], "InstPending" : [sum(speedup_mobile["InstPending"])/len(speedup_mobile["InstPending"]), \ sum(speedup_laptop["InstPending"])/len(speedup_laptop["InstPending"]), \ sum(speedup_desktop["InstPending"])/len(speedup_desktop["InstPending"])], } name = ["Average Speedup Across Systems"] tick_labels = ["IdealSensor", "uArchEvent", "Signature", "T.a.S.", "InstPending"] benchmarks = ["Mobile","Latop","Desktop"] fname = ["speedup_unconstrained.png"] bounds = [[0,2,0.1,0]] df=[it["IdealSensor"],it["uArchEvent"],it["Signature"],it["T.a.S."],it["InstPending"]] pos = list(range(len(df))) width = 0.2 fig, ax = plt.subplots(figsize=(10,5)) i=0 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="/"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="\\"*4, fill=True, linewidth=1, edgecolor="k") i+=1 plt.bar([p + width*i for p in pos], [j[i] for j in df], width, label=benchmarks[i], color="w", hatch="X"*4, fill="True", linewidth=1, edgecolor="k") ax.set_ylabel('Speedup (X)') ax.set_title(name[0]) ax.set_xticks([p + 1.5 * width for p in pos]) ax.set_yticks(np.arange(bounds[0][0],bounds[0][1],bounds[0][2])) ax.set_ylim(bounds[0][0],bounds[0][1]) ax.set_axisbelow(True) ax.grid(zorder=0, color="#c4c4c4", linestyle="-", linewidth=1, axis="y") b = ax.get_ygridlines() b[bounds[0][3]].set_color('k') ax.set_xticklabels(tick_labels) #plt.legend(benchmarks, loc='upper left') plt.legend(benchmarks, bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.) plt.subplots_adjust(left=0.1, right=0.8, top=0.9, bottom=0.1) plt.savefig(fname[0]) plt.show()

55.218623

148

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3,909

27,278

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0.121514

0.01398

0.010135

0.059762

0.858225

0.854322

0.844886

0

0.088925

0.126439

27,278

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677f2c1379f69c3827b0bbb5bff618981bc47106

13,584

py

Python

devel/lib/python2.7/dist-packages/polled_camera/srv/_GetPolledImage.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

2

2021-09-22T19:06:19.000Z

2021-09-22T20:22:40.000Z

devel/lib/python2.7/dist-packages/polled_camera/srv/_GetPolledImage.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

null

devel/lib/python2.7/dist-packages/polled_camera/srv/_GetPolledImage.py

EveVengerov/Gesture-Controlling-Drone

8fe38dbfdc496472e13e76bcdb55b471f51b42ea

[ "MIT" ]

null

# This Python file uses the following encoding: utf-8 """autogenerated by genpy from polled_camera/GetPolledImageRequest.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct import genpy import sensor_msgs.msg class GetPolledImageRequest(genpy.Message): _md5sum = "c77ed43e530fd48e9e7a2a93845e154c" _type = "polled_camera/GetPolledImageRequest" _has_header = False # flag to mark the presence of a Header object _full_text = """ string response_namespace duration timeout uint32 binning_x uint32 binning_y sensor_msgs/RegionOfInterest roi ================================================================================ MSG: sensor_msgs/RegionOfInterest # This message is used to specify a region of interest within an image. # # When used to specify the ROI setting of the camera when the image was # taken, the height and width fields should either match the height and # width fields for the associated image; or height = width = 0 # indicates that the full resolution image was captured. uint32 x_offset # Leftmost pixel of the ROI # (0 if the ROI includes the left edge of the image) uint32 y_offset # Topmost pixel of the ROI # (0 if the ROI includes the top edge of the image) uint32 height # Height of ROI uint32 width # Width of ROI # True if a distinct rectified ROI should be calculated from the "raw" # ROI in this message. Typically this should be False if the full image # is captured (ROI not used), and True if a subwindow is captured (ROI # used). bool do_rectify """ __slots__ = ['response_namespace','timeout','binning_x','binning_y','roi'] _slot_types = ['string','duration','uint32','uint32','sensor_msgs/RegionOfInterest'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: response_namespace,timeout,binning_x,binning_y,roi :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(GetPolledImageRequest, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.response_namespace is None: self.response_namespace = '' if self.timeout is None: self.timeout = genpy.Duration() if self.binning_x is None: self.binning_x = 0 if self.binning_y is None: self.binning_y = 0 if self.roi is None: self.roi = sensor_msgs.msg.RegionOfInterest() else: self.response_namespace = '' self.timeout = genpy.Duration() self.binning_x = 0 self.binning_y = 0 self.roi = sensor_msgs.msg.RegionOfInterest() def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.response_namespace length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self buff.write(_get_struct_2i6IB().pack(_x.timeout.secs, _x.timeout.nsecs, _x.binning_x, _x.binning_y, _x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.timeout is None: self.timeout = genpy.Duration() if self.roi is None: self.roi = sensor_msgs.msg.RegionOfInterest() end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.response_namespace = str[start:end].decode('utf-8', 'rosmsg') else: self.response_namespace = str[start:end] _x = self start = end end += 33 (_x.timeout.secs, _x.timeout.nsecs, _x.binning_x, _x.binning_y, _x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify,) = _get_struct_2i6IB().unpack(str[start:end]) self.roi.do_rectify = bool(self.roi.do_rectify) self.timeout.canon() return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.response_namespace length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self buff.write(_get_struct_2i6IB().pack(_x.timeout.secs, _x.timeout.nsecs, _x.binning_x, _x.binning_y, _x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.timeout is None: self.timeout = genpy.Duration() if self.roi is None: self.roi = sensor_msgs.msg.RegionOfInterest() end = 0 start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.response_namespace = str[start:end].decode('utf-8', 'rosmsg') else: self.response_namespace = str[start:end] _x = self start = end end += 33 (_x.timeout.secs, _x.timeout.nsecs, _x.binning_x, _x.binning_y, _x.roi.x_offset, _x.roi.y_offset, _x.roi.height, _x.roi.width, _x.roi.do_rectify,) = _get_struct_2i6IB().unpack(str[start:end]) self.roi.do_rectify = bool(self.roi.do_rectify) self.timeout.canon() return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_2i6IB = None def _get_struct_2i6IB(): global _struct_2i6IB if _struct_2i6IB is None: _struct_2i6IB = struct.Struct("<2i6IB") return _struct_2i6IB # This Python file uses the following encoding: utf-8 """autogenerated by genpy from polled_camera/GetPolledImageResponse.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct import genpy class GetPolledImageResponse(genpy.Message): _md5sum = "dbf1f851bc511800e6129ccd5a3542ab" _type = "polled_camera/GetPolledImageResponse" _has_header = False # flag to mark the presence of a Header object _full_text = """bool success string status_message time stamp """ __slots__ = ['success','status_message','stamp'] _slot_types = ['bool','string','time'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: success,status_message,stamp :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(GetPolledImageResponse, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.success is None: self.success = False if self.status_message is None: self.status_message = '' if self.stamp is None: self.stamp = genpy.Time() else: self.success = False self.status_message = '' self.stamp = genpy.Time() def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self.success buff.write(_get_struct_B().pack(_x)) _x = self.status_message length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self buff.write(_get_struct_2I().pack(_x.stamp.secs, _x.stamp.nsecs)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.stamp is None: self.stamp = genpy.Time() end = 0 start = end end += 1 (self.success,) = _get_struct_B().unpack(str[start:end]) self.success = bool(self.success) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status_message = str[start:end].decode('utf-8', 'rosmsg') else: self.status_message = str[start:end] _x = self start = end end += 8 (_x.stamp.secs, _x.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end]) self.stamp.canon() return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self.success buff.write(_get_struct_B().pack(_x)) _x = self.status_message length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self buff.write(_get_struct_2I().pack(_x.stamp.secs, _x.stamp.nsecs)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.stamp is None: self.stamp = genpy.Time() end = 0 start = end end += 1 (self.success,) = _get_struct_B().unpack(str[start:end]) self.success = bool(self.success) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.status_message = str[start:end].decode('utf-8', 'rosmsg') else: self.status_message = str[start:end] _x = self start = end end += 8 (_x.stamp.secs, _x.stamp.nsecs,) = _get_struct_2I().unpack(str[start:end]) self.stamp.canon() return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_2I = None def _get_struct_2I(): global _struct_2I if _struct_2I is None: _struct_2I = struct.Struct("<2I") return _struct_2I _struct_B = None def _get_struct_B(): global _struct_B if _struct_B is None: _struct_B = struct.Struct("<B") return _struct_B class GetPolledImage(object): _type = 'polled_camera/GetPolledImage' _md5sum = '1f3fb0d09d6e1c72d4a7eeb9822d9030' _request_class = GetPolledImageRequest _response_class = GetPolledImageResponse

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0.754611

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1

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7

67819e29fb60bf9f0a1b2da25e369636f3b7f863

31,386

py

Python

capybara/node/matchers.py

dwt/capybara.py

eafd9ac50d02e8b57ef90d767493c8fa2be0739a

[ "MIT" ]

null

capybara/node/matchers.py

dwt/capybara.py

eafd9ac50d02e8b57ef90d767493c8fa2be0739a

[ "MIT" ]

null

capybara/node/matchers.py

dwt/capybara.py

eafd9ac50d02e8b57ef90d767493c8fa2be0739a

[ "MIT" ]

null

from functools import wraps import capybara from capybara.compat import Hashable from capybara.exceptions import ExpectationNotMet from capybara.helpers import expects_none, matches_count from capybara.selector import selectors from capybara.queries.selector_query import SelectorQuery from capybara.queries.style_query import StyleQuery from capybara.queries.text_query import TextQuery def predicate(func): @wraps(func) def wrapper(*args, **kwargs): if "wait" not in kwargs and not capybara.predicates_wait: kwargs["wait"] = 0 try: return func(*args, **kwargs) except ExpectationNotMet: return False return wrapper class MatchersMixin(object): @predicate def has_selector(self, *args, **kwargs): """ Checks if a given selector is on the page or a descendant of the current node. :: page.has_selector("p#foo") page.has_selector("xpath", ".//p[@id='foo']") By default it will check if the expression occurs at least once, but a different number can be specified. :: page.has_selector("p.foo", count=4) This will check if the expression occurs exactly 4 times. It also accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. :: page.has_selector("li", text="Horse", visible=True) ``has_selector`` can also accept XPath expressions generated by the ``xpath-py`` package:: from xpath import dsl as x page.has_selector("xpath", x.descendant("p")) Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: If the expression exists. """ return self.assert_selector(*args, **kwargs) @predicate def has_no_selector(self, *args, **kwargs): """ Checks if a given selector is not on the page or a descendant of the current node. Usage is identical to :meth:`has_selector`. Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.assert_no_selector(*args, **kwargs) @predicate def has_style(self, styles, **kwargs): """ Checks if an element has the specified CSS styles. :: element.has_style({"color": "rgb(0,0,255)", "font-size": re.compile(r"px")}) Args: styles (Dict[str, str | RegexObject]): The expected styles. Returns: bool: Whether the styles match. """ return self.assert_style(styles, **kwargs) @predicate def has_all_of_selectors(self, selector, *locators, **kwargs): """ Checks if allof the provided selectors are present on the given page or descendants of the current node. If options are provided, the assertion will check that each locator is present with those options as well (other than ``wait``). :: page.has_all_of_selectors("custom", "Tom", "Joe", visible="all") page.has_all_of_selectors("css", "#my_dif", "a.not_clicked") It accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. The ``wait`` option applies to all of the selectors as a group, so all of the locators must be present within ``wait`` (defaults to :data:`capybara.default_max_wait_time`) seconds. If the given selector is not a valid selector, the first argument is assumed to be a locator and the default selector will be used. Args: selector (str, optional): The name of the selector to use. Defaults to :data:`capybara.default_selector`. *locators (str): Variable length list of locators. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. """ return self.assert_all_of_selectors(selector, *locators, **kwargs) @predicate def has_none_of_selectors(self, selector, *locators, **kwargs): """ Checks if none of the provided selectors are present on the given page or descendants of the current node. If options are provided, the assertion will check that each locator is present with those options as well (other than ``wait``). :: page.has_none_of_selectors("custom", "Tom", "Joe", visible="all") page.has_none_of_selectors("css", "#my_div", "a.not_clicked") It accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. The ``wait`` option applies to all of the selectors as a group, so none of the locators must be present with ``wait`` (defaults to :data:`capybara.default_max_wait_time`) seconds. If the given selector is not a valid selector, the first argument is assumed to be a locator and the default selector will be used. Args: selector (str, optional): The name of the selector to use. Defaults to :data:`capybara.default_selector`. *locators (str): Variable length list of locators. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. """ return self.assert_none_of_selectors(selector, *locators, **kwargs) @predicate def matches_selector(self, *args, **kwargs): """ Checks if the current node matches the given selector. Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it matches. """ return self.assert_matches_selector(*args, **kwargs) @predicate def not_match_selector(self, *args, **kwargs): """ Checks if the current node does not match the given selector. Usage is identical to :meth:`has_selector`. Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't match. """ return self.assert_not_match_selector(*args, **kwargs) def assert_selector(self, *args, **kwargs): """ Asserts that a given selector is on the page or a descendant of the current node. :: page.assert_selector("p#foo") By default it will check if the expression occurs at least once, but a different number can be specified. :: page.assert_selector("p.foo", count=4) This will check if the expression occurs exactly 4 times. See :meth:`find_all` for other available result size options. If a ``count`` of 0 is specified, it will behave like :meth:`assert_no_selector`; however, use of that method is preferred over this one. It also accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. :: page.assert_selector("li", text="Horse", visible=True) ``assert_selector`` can also accept XPath expressions generated by the ``xpath-py`` package:: from xpath import dsl as x page.assert_selector("xpath", x.descendant("p")) Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: True Raises: ExpectationNotMet: The given selector did not match. """ query = SelectorQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_selector(): result = query.resolve_for(self) if not (result.matches_count and (len(result) > 0 or expects_none(query.options))): raise ExpectationNotMet(result.failure_message) return True return assert_selector() def assert_style(self, styles, **kwargs): """ Asserts that an element has the specified CSS styles. :: element.assert_style({"color": "rgb(0,0,255)", "font-size": re.compile(r"px")}) Args: styles (Dict[str, str | RegexObject]): The expected styles. Returns: True Raises: ExpectationNotMet: The element doesn't have the specified styles. """ query = StyleQuery(styles, **kwargs) @self.synchronize(wait=query.wait) def assert_style(): if not query.resolves_for(self): raise ExpectationNotMet(query.failure_message) return True return assert_style() def assert_all_of_selectors(self, selector, *locators, **kwargs): """ Asserts that all of the provided selectors are present on the given page or descendants of the current node. If options are provided, the assertion will check that each locator is present with those options as well (other than ``wait``). :: page.assert_all_of_selectors("custom", "Tom", "Joe", visible="all") page.assert_all_of_selectors("css", "#my_dif", "a.not_clicked") It accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. The ``wait`` option applies to all of the selectors as a group, so all of the locators must be present within ``wait`` (defaults to :data:`capybara.default_max_wait_time`) seconds. If the given selector is not a valid selector, the first argument is assumed to be a locator and the default selector will be used. Args: selector (str, optional): The name of the selector to use. Defaults to :data:`capybara.default_selector`. *locators (str): Variable length list of locators. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. """ wait = kwargs['wait'] if 'wait' in kwargs else capybara.default_max_wait_time if not isinstance(selector, Hashable) or selector not in selectors: locators = (selector,) + locators selector = capybara.default_selector @self.synchronize(wait=wait) def assert_all_of_selectors(): for locator in locators: self.assert_selector(selector, locator, **kwargs) return True return assert_all_of_selectors() def assert_none_of_selectors(self, selector, *locators, **kwargs): """ Asserts that none of the provided selectors are present on the given page or descendants of the current node. If options are provided, the assertion will check that each locator is present with those options as well (other than ``wait``). :: page.assert_none_of_selectors("custom", "Tom", "Joe", visible="all") page.assert_none_of_selectors("css", "#my_div", "a.not_clicked") It accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. The ``wait`` option applies to all of the selectors as a group, so none of the locators must be present with ``wait`` (defaults to :data:`capybara.default_max_wait_time`) seconds. If the given selector is not a valid selector, the first argument is assumed to be a locator and the default selector will be used. Args: selector (str, optional): The name of the selector to use. Defaults to :data:`capybara.default_selector`. *locators (str): Variable length list of locators. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. """ wait = kwargs['wait'] if 'wait' in kwargs else capybara.default_max_wait_time if not isinstance(selector, Hashable) or selector not in selectors: locators = (selector,) + locators selector = capybara.default_selector @self.synchronize(wait=wait) def assert_none_of_selectors(): for locator in locators: self.assert_no_selector(selector, locator, **kwargs) return True return assert_none_of_selectors() def assert_no_selector(self, *args, **kwargs): """ Asserts that a given selector is not on the page or a descendant of the current node. Usage is identical to :meth:`assert_selector`. Query options such as ``count``, ``minimum``, and ``between`` are considered to be an integral part of the selector. This will return True, for example, if a page contains 4 anchors but the query expects 5:: page.assert_no_selector("a", minimum=1) # Found, raises ExpectationNotMet page.assert_no_selector("a", count=4) # Found, raises ExpectationNotMet page.assert_no_selector("a", count=5) # Not Found, returns True Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: True Raises: ExpectationNotMet: The given selector matched. """ query = SelectorQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_no_selector(): result = query.resolve_for(self) if result.matches_count and ( len(result) > 0 or expects_none(query.options)): raise ExpectationNotMet(result.negative_failure_message) return True return assert_no_selector() refute_selector = assert_no_selector """ Alias for :meth:`assert_no_selector`. """ def assert_matches_selector(self, *args, **kwargs): """ Asserts that the current node matches a given selector. :: node.assert_matches_selector("p#foo") node.assert_matches_selector("xpath", "//p[@id='foo']") It also accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. :: node.assert_matches_selector("li", text="Horse", visible=True) Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: True Raises: ExpectationNotMet: If the selector does not match. """ query = SelectorQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_matches_selector(): result = query.resolve_for(self.find_first("xpath", "./parent::*", minimum=0) or self.query_scope) if self not in result: raise ExpectationNotMet("Item does not match the provided selector") return True return assert_matches_selector() def assert_not_match_selector(self, *args, **kwargs): """ Asserts that the current node does not match a given selector. See :meth:`assert_matches_selector`. Args: *args: Variable length argument list for :class:`SelectorQuery`. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: True Raises: ExpectationNotMet: If the selector matches. """ query = SelectorQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_not_match_selector(): result = query.resolve_for(self.find_first("xpath", "./parent::*", minimum=0) or self.query_scope) if self in result: raise ExpectationNotMet("Item matched the provided selector") return True return assert_not_match_selector() refute_matches_selector = assert_not_match_selector """ Alias for :meth:`assert_not_match_selector`. """ def matches_xpath(self, xpath, **kwargs): """ Checks if the current node matches the given XPath expression. Args: xpath (str | xpath.expression.Expression): The XPath expression to match against the current node. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: Whether it matches. """ return self.matches_selector("xpath", xpath, **kwargs) def not_match_xpath(self, xpath, **kwargs): """ Checks if the current node does not match the given XPath expression. Args: xpath (str | xpath.expression.Expression): The XPath expression to match against the current node. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: Whether it doesn't match. """ return self.not_match_selector("xpath", xpath, **kwargs) def matches_css(self, css, **kwargs): """ Checks if the current node matches the given CSS selector. Args: css (str): The CSS selector to match against the current node. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: Whether it matches. """ return self.matches_selector("css", css, **kwargs) def not_match_css(self, css, **kwargs): """ Checks if the current node does not match the given CSS selector. Args: css (str): The CSS selector to match against the current node. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: Whether it doesn't match. """ return self.not_match_selector("css", css, **kwargs) def has_xpath(self, query, **kwargs): """ Checks if a given XPath expression is on the page or a descendant of the current node. :: session.has_xpath(".//p[@id='foo']") ``has_xpath`` can also accept XPath expressions generated by the ``xpath-py`` package:: from xpath import dsl as x session.has_xpath(x.descendant("p")) Args: query (str): An XPath expression. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: If the expression exists. """ return self.has_selector("xpath", query, **kwargs) def has_no_xpath(self, path, **kwargs): """ Checks if a given XPath expression is not on the page or a descendant of the current node. Usage is identical to :meth:`has_xpath`. Args: path (str): An XPath expression. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: If the expression does not exist. """ return self.has_no_selector("xpath", path, **kwargs) def has_css(self, path, **kwargs): """ Checks if a given CSS selector is on the page or a descendant of the current node. :: page.has_css("p#foo") By default it will check if the selector occurs at least once, but a different number can be specified. :: page.has_css("p#foo", count=4) This will check if the selector occurs exactly 4 times. It also accepts all options that :meth:`find_all` accepts, such as ``text`` and ``visible``. :: page.has_css("li", text="Horse", visible=True) Args: path (str): A CSS selector. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: If the selector exists. """ return self.has_selector("css", path, **kwargs) def has_no_css(self, path, **kwargs): """ Checks if a given CSS selector is not on the page or a descendant of the current node. Usage is identical to :meth:`has_css`. Args: path (str): A CSS Selector. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Return: bool: If the selector does not exist. """ return self.has_no_selector("css", path, **kwargs) def has_button(self, locator, **kwargs): """ Checks if the page or current node has a button with the given text, value, or id. Args: locator (str): The text, value, or id of a button to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ return self.has_selector("button", locator, **kwargs) def has_no_button(self, locator, **kwargs): """ Checks if the page or current node has no button with the given text, value, or id. Args: locator (str): The text, value, or id of a button to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.has_no_selector("button", locator, **kwargs) def has_checked_field(self, locator, **kwargs): """ Checks if the page or current node has a radio button or checkbox with the given label, value, or id, that is currently checked. Args: locator (str): The label, name, or id of a checked field. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ kwargs["checked"] = True return self.has_selector("field", locator, **kwargs) def has_no_checked_field(self, locator, **kwargs): """ Checks if the page or current node has no radio button or checkbox with the given label, value, or id that is currently checked. Args: locator (str): The label, name, or id of a checked field. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ kwargs["checked"] = True return self.has_no_selector("field", locator, **kwargs) def has_field(self, locator, **kwargs): """ Checks if the page or current node has a form field with the given label, name, or id. For text fields and other textual fields, such as textareas and HTML5 email/url/etc. fields, it's possible to specify a ``value`` argument to specify the text the field should contain:: page.has_field("Name", value="Jonas") Args: locator (str): The label, name, or id of a field to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ return self.has_selector("field", locator, **kwargs) def has_no_field(self, locator, **kwargs): """ Checks if the page or current node has no form field with the given label, name, or id. See :meth:`has_field`. Args: locator (str): The label, name, or id of a field to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.has_no_selector("field", locator, **kwargs) def has_link(self, locator, **kwargs): """ Checks if the page or current node has a link with the given text or id. Args: locator (str): The text or id of a link to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ return self.has_selector("link", locator, **kwargs) def has_no_link(self, locator, **kwargs): """ Checks if the page or current node has no link with the given text or id. Args: locator (str): The text or id of a link to check for. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.has_no_selector("link", locator, **kwargs) def has_select(self, locator, **kwargs): """ Checks if the page or current node has a select field with the given label, name, or id. It can be specified which option should currently be selected:: page.has_select("Language", selected="German") For multiple select boxes, several options may be specified:: page.has_select("Language", selected=["English", "German"]) It's also possible to check if the exact set of options exists for this select box:: page.has_select("Language", options=["English", "German", "Spanish"]) You can also check for a partial set of options:: page.has_select("Language", with_options=["English", "German"]) Args: locator (str): The label, name, or id of a select box. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ return self.has_selector("select", locator, **kwargs) def has_no_select(self, locator, **kwargs): """ Checks if the page or current node has no select field with the given label, name, or id. See :meth:`has_select`. Args: locator (str): The label, name, or id of a select box. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.has_no_selector("select", locator, **kwargs) def has_table(self, locator, **kwargs): """ Checks if the page or current node has a table with the given id or caption:: page.has_table("People") Args: locator (str): The id or caption of a table. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ return self.has_selector("table", locator, **kwargs) def has_no_table(self, locator, **kwargs): """ Checks if the page or current node has no table with the given id or caption. See :meth:`has_table`. Args: locator (str): The id or caption of a table. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ return self.has_no_selector("table", locator, **kwargs) def has_unchecked_field(self, locator, **kwargs): """ Checks if the page or current node has a radio button or checkbox with the given label, value, or id, that is currently unchecked. Args: locator (str): The label, name, or id of an unchecked field. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it exists. """ kwargs["checked"] = False return self.has_selector("field", locator, **kwargs) def has_no_unchecked_field(self, locator, **kwargs): """ Checks if the page or current node has no radio button or checkbox with the given label, value, or id, that is currently unchecked. Args: locator (str): The label, name, or id of an unchecked field. **kwargs: Arbitrary keyword arguments for :class:`SelectorQuery`. Returns: bool: Whether it doesn't exist. """ kwargs["checked"] = False return self.has_no_selector("field", locator, **kwargs) def assert_text(self, *args, **kwargs): """ Asserts that the page or current node has the given text content, ignoring any HTML tags. Args: *args: Variable length argument list for :class:`TextQuery`. **kwargs: Arbitrary keyword arguments for :class:`TextQuery`. Returns: True Raises: ExpectationNotMet: If the assertion hasn't succeeded during the wait time. """ query = TextQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_text(): count = query.resolve_for(self) if not (matches_count(count, query.options) and (count > 0 or expects_none(query.options))): raise ExpectationNotMet(query.failure_message) return True return assert_text() def assert_no_text(self, *args, **kwargs): """ Asserts that the page or current node doesn't have the given text content, ignoring any HTML tags. Args: *args: Variable length argument list for :class:`TextQuery`. **kwargs: Arbitrary keyword arguments for :class:`TextQuery`. Returns: True Raises: ExpectationNotMet: If the assertion hasn't succeeded during the wait time. """ query = TextQuery(*args, **kwargs) @self.synchronize(wait=query.wait) def assert_no_text(): count = query.resolve_for(self) if matches_count(count, query.options) and ( count > 0 or expects_none(query.options)): raise ExpectationNotMet(query.negative_failure_message) return True return assert_no_text() @predicate def has_text(self, *args, **kwargs): """ Checks if the page or current node has the given text content, ignoring any HTML tags. Whitespaces are normalized in both the node's text and the passed text parameter. Note that whitespace isn't normalized in a passed regular expression as normalizing whitespace in a regular expression isn't easy and doesn't seem to be worth it. By default it will check if the text occurs at least once, but a different number can be specified. :: page.has_text("lorem ipsum", between=range(2, 5)) Args: *args: Variable length argument list for :class:`TextQuery`. **kwargs: Arbitrary keyword arguments for :class:`TextQuery`. Returns: bool: Whether it exists. """ return self.assert_text(*args, **kwargs) has_content = has_text """ Alias for :meth:`has_text`. """ @predicate def has_no_text(self, *args, **kwargs): """ Checks if the page or current node does not have the given text content, ignoring any HTML tags and normalizing whitespace. Args: *args: Variable length argument list for :class:`TextQuery`. **kwargs: Arbitrary keyword arguments for :class:`TextQuery`. Returns: bool: Whether it doesn't exist. """ return self.assert_no_text(*args, **kwargs) has_no_content = has_no_text """ Alias for :meth:`has_no_text`. """

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67f89c358e93a036c5c1a6f1c5ed4be3f114e428

3,919

py

Python

.c9/metadata/workspace/notMyRIOT.py

zb9c/LeargueDataAnalysis

669e95c5012fa621be9ec5c7fbc56239e174b661

[ "MIT" ]

null

.c9/metadata/workspace/notMyRIOT.py

zb9c/LeargueDataAnalysis

669e95c5012fa621be9ec5c7fbc56239e174b661

[ "MIT" ]

null

.c9/metadata/workspace/notMyRIOT.py

zb9c/LeargueDataAnalysis

669e95c5012fa621be9ec5c7fbc56239e174b661

[ "MIT" ]

null

{"changed":true,"filter":false,"title":"notMyRIOT.py","tooltip":"/notMyRIOT.py","value":"import requests\nimport json\nimport io\ntry:\n to_unicode = unicode\nexcept NameError:\n to_unicode = str\nimport xlsxwriter\nimport time\n\ndef getID(sumName):\n URL = \"https://na1.api.riotgames.com/lol/summoner/v3/summoners/by-name/\" + sumName + \"?api_key=\" + APIKey\n response = requests.get(URL).json()\n ids = response['accountId']\n ids = str(ids)\n return ids\ndef getMatches(id):\n url = \"https://na1.api.riotgames.com/lol/match/v3/matchlists/by-account/\" + id + \"?champion=16\" + \"&api_key=\" + APIKey #Used to get Soraka Games\n #url = \"https://na1.api.riotgames.com/lol/match/v3/matchlists/by-account/\" + id + \"?api_key=\" + APIKey\n response = requests.get(url).json()\n return response\ndef matchInfo(matchID):\n url = \"https://na1.api.riotgames.com/lol/match/v3/matches/\" + matchID + \"?api_key=\" + APIKey\n response = requests.get(url).json()\n #print url\n return response\n\nAPIKey = \"RGAPI-735c8023-0382-41c9-89e5-a608e910533f\"\ngameIds = []\nWins = []\ndragons = []\nwardsPurchased = []\n\nwho = 'CheekyBastard'\nmatches = getMatches(str(getID(who)))\n\n#'clean' out matches array before saving it\nfor x in range(len(matches[\"matches\"])):\n \n gameIds.append(matches[\"matches\"][x][\"gameId\"])\n \n del matches[\"matches\"][x][\"queue\"]\n del matches[\"matches\"][x][\"season\"]\n del matches[\"matches\"][x][\"role\"]\n del matches[\"matches\"][x][\"timestamp\"]\n del matches[\"matches\"][x][\"lane\"]\n del matches[\"matches\"][x][\"platformId\"]\n \n#Save matches as WHO.json using the matches \nwith io.open( who + '.json', 'w', encoding='utf8') as outfile:\n str_ = json.dumps(matches,\n indent=4, sort_keys=True,\n separators=(',', ': '), ensure_ascii=True)\n outfile.write(to_unicode(str_))\n\n#Saves all matches as 0-99.json after cleaning them\nfor x in range(len(matches[\"matches\"])):\n time.sleep(2)\n \n #Pulls the data from Riot API\n match = matchInfo(str(gameIds[x]))\n \n #Clean data pulled from RiotAPI\n del match['platformId']\n del match['gameCreation']\n del match['gameDuration']\n del match['gameType']\n del match['gameVersion']\n del match['seasonId']\n \n \n \n \n #Saves response as json file\n with io.open(str(x) + who + '.json', 'w', encoding='utf8') as outfile:\n str_ = json.dumps(match,\n indent=4, sort_keys=True,\n separators=(',', ': '), ensure_ascii=False)\n outfile.write(to_unicode(str_))\n\n#Using that json we need to create a csv file that saves all that data\n","undoManager":{"mark":0,"position":-1,"stack":[[{"start":{"row":27,"column":10},"end":{"row":27,"column":52},"action":"remove","lines":["RGAPI-735c8023-0382-41c9-89e5-a608e910533f"],"id":1}]]},"ace":{"folds":[{"start":{"row":3,"column":4},"end":{"row":4,"column":24},"placeholder":"..."},{"start":{"row":5,"column":17},"end":{"row":6,"column":20},"placeholder":"..."},{"start":{"row":10,"column":19},"end":{"row":15,"column":14},"placeholder":"..."},{"start":{"row":16,"column":19},"end":{"row":20,"column":19},"placeholder":"..."},{"start":{"row":21,"column":23},"end":{"row":25,"column":19},"placeholder":"..."},{"start":{"row":37,"column":40},"end":{"row":46,"column":43},"placeholder":"..."},{"start":{"row":49,"column":62},"end":{"row":53,"column":35},"placeholder":"..."},{"start":{"row":56,"column":40},"end":{"row":78,"column":39},"placeholder":"..."}],"scrolltop":0,"scrollleft":0,"selection":{"start":{"row":9,"column":0},"end":{"row":9,"column":0},"isBackwards":false},"options":{"guessTabSize":true,"useWrapMode":false,"wrapToView":true},"firstLineState":{"row":25,"state":"start","mode":"ace/mode/python"}},"timestamp":1505603879000}

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155,288

py

Python

sdk/lusid/api/portfolio_groups_api.py

mneedham/lusid-sdk-python

edabec16b357ba3fc48a53f3faacb4f94b18843e

[ "MIT" ]

null

sdk/lusid/api/portfolio_groups_api.py

mneedham/lusid-sdk-python

edabec16b357ba3fc48a53f3faacb4f94b18843e

[ "MIT" ]

null

sdk/lusid/api/portfolio_groups_api.py

mneedham/lusid-sdk-python

edabec16b357ba3fc48a53f3faacb4f94b18843e

[ "MIT" ]

null

# coding: utf-8 """ LUSID API FINBOURNE Technology # noqa: E501 The version of the OpenAPI document: 0.11.2808 Contact: info@finbourne.com 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 lusid.api_client import ApiClient from lusid.exceptions import ( ApiTypeError, ApiValueError ) class PortfolioGroupsApi(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 add_portfolio_to_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Add portfolio to group # noqa: E501 Add a single portfolio to a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_portfolio_to_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to add a portfolio to. (required) :param str code: The code of the portfolio group to add a portfolio to. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime from which the portfolio will be added to the group. :param ResourceId resource_id: The resource identifier of the portfolio to add to the portfolio group. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.add_portfolio_to_group_with_http_info(scope, code, **kwargs) # noqa: E501 def add_portfolio_to_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Add portfolio to group # noqa: E501 Add a single portfolio to a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_portfolio_to_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to add a portfolio to. (required) :param str code: The code of the portfolio group to add a portfolio to. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime from which the portfolio will be added to the group. :param ResourceId resource_id: The resource identifier of the portfolio to add to the portfolio group. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'resource_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 add_portfolio_to_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `add_portfolio_to_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `add_portfolio_to_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `add_portfolio_to_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `add_portfolio_to_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `add_portfolio_to_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `add_portfolio_to_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'resource_id' in local_var_params: body_params = local_var_params['resource_id'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/portfolios', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def add_sub_group_to_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Add sub group to group # noqa: E501 Add a portfolio group to a portfolio group as a sub group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_sub_group_to_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to add a portfolio group to. (required) :param str code: The code of the portfolio group to add a portfolio group to. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime from which the sub group will be added to the group. :param ResourceId resource_id: The resource identifier of the portfolio group to add to the portfolio group as a sub group. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.add_sub_group_to_group_with_http_info(scope, code, **kwargs) # noqa: E501 def add_sub_group_to_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Add sub group to group # noqa: E501 Add a portfolio group to a portfolio group as a sub group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_sub_group_to_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to add a portfolio group to. (required) :param str code: The code of the portfolio group to add a portfolio group to. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime from which the sub group will be added to the group. :param ResourceId resource_id: The resource identifier of the portfolio group to add to the portfolio group as a sub group. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'resource_id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 add_sub_group_to_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `add_sub_group_to_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `add_sub_group_to_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `add_sub_group_to_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `add_sub_group_to_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `add_sub_group_to_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `add_sub_group_to_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'resource_id' in local_var_params: body_params = local_var_params['resource_id'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/subgroups', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def build_transactions_for_portfolio_group(self, scope, code, transaction_query_parameters, **kwargs): # noqa: E501 """[EARLY ACCESS] Build transactions for transaction portfolios in a portfolio group # noqa: E501 Build transactions for transaction portfolios in a portfolio group over a given interval of effective time. When the specified portfolio in a portfolio group is a derived transaction portfolio, the returned set of transactions is the union set of all transactions of the parent (and any grandparents etc.) and the specified derived transaction portfolio itself. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.build_transactions_for_portfolio_group(scope, code, transaction_query_parameters, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param TransactionQueryParameters transaction_query_parameters: The query queryParameters which control how the output transactions are built. (required) :param datetime as_at: The asAt datetime at which to build the transactions. Defaults to return the latest version of each transaction if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Transaction Type, use \"type eq 'Buy'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Transaction\" domain to decorate onto the transactions. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Transaction/strategy/quantsignal\". :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: VersionedResourceListOfOutputTransaction If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.build_transactions_for_portfolio_group_with_http_info(scope, code, transaction_query_parameters, **kwargs) # noqa: E501 def build_transactions_for_portfolio_group_with_http_info(self, scope, code, transaction_query_parameters, **kwargs): # noqa: E501 """[EARLY ACCESS] Build transactions for transaction portfolios in a portfolio group # noqa: E501 Build transactions for transaction portfolios in a portfolio group over a given interval of effective time. When the specified portfolio in a portfolio group is a derived transaction portfolio, the returned set of transactions is the union set of all transactions of the parent (and any grandparents etc.) and the specified derived transaction portfolio itself. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.build_transactions_for_portfolio_group_with_http_info(scope, code, transaction_query_parameters, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param TransactionQueryParameters transaction_query_parameters: The query queryParameters which control how the output transactions are built. (required) :param datetime as_at: The asAt datetime at which to build the transactions. Defaults to return the latest version of each transaction if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Transaction Type, use \"type eq 'Buy'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Transaction\" domain to decorate onto the transactions. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Transaction/strategy/quantsignal\". :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(VersionedResourceListOfOutputTransaction, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'transaction_query_parameters', 'as_at', 'filter', 'property_keys'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 build_transactions_for_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'transaction_query_parameters' is set if ('transaction_query_parameters' not in local_var_params or local_var_params['transaction_query_parameters'] is None): raise ApiValueError("Missing the required parameter `transaction_query_parameters` when calling `build_transactions_for_portfolio_group`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `build_transactions_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `build_transactions_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `build_transactions_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `build_transactions_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `build_transactions_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `build_transactions_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'property_keys' in local_var_params: query_params.append(('propertyKeys', local_var_params['property_keys'])) # noqa: E501 collection_formats['propertyKeys'] = 'multi' # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'transaction_query_parameters' in local_var_params: body_params = local_var_params['transaction_query_parameters'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/transactions/$build', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedResourceListOfOutputTransaction', # 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) def create_portfolio_group(self, scope, **kwargs): # noqa: E501 """[EARLY ACCESS] Create portfolio group # noqa: E501 Create a portfolio group in a specific scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_portfolio_group(scope, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope that the portfolio group will be created in. (required) :param CreatePortfolioGroupRequest create_portfolio_group_request: The definition and details of the portfolio group. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.create_portfolio_group_with_http_info(scope, **kwargs) # noqa: E501 def create_portfolio_group_with_http_info(self, scope, **kwargs): # noqa: E501 """[EARLY ACCESS] Create portfolio group # noqa: E501 Create a portfolio group in a specific scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_portfolio_group_with_http_info(scope, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope that the portfolio group will be created in. (required) :param CreatePortfolioGroupRequest create_portfolio_group_request: The definition and details of the portfolio group. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'create_portfolio_group_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 create_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'create_portfolio_group_request' in local_var_params: body_params = local_var_params['create_portfolio_group_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def delete_group_properties(self, scope, code, request_body, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete group properties # noqa: E501 Delete one or more properties from a single portfolio group. If the properties are time variant then an effective date time from which the properties will be deleted must be specified. If the properties are perpetual then it is invalid to specify an effective date time for deletion. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_group_properties(scope, code, request_body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to delete properties from. (required) :param str code: The code of the group to delete properties from. Together with the scope this uniquely identifies the group. (required) :param list[str] request_body: The property keys of the properties to delete. These take the format {domain}/{scope}/{code} e.g. \"PortfolioGroup/Manager/Id\". Each property must be from the \"PortfolioGroup\" domain. (required) :param str effective_at: The effective datetime or cut label at which to delete the properties. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: DeletedEntityResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_group_properties_with_http_info(scope, code, request_body, **kwargs) # noqa: E501 def delete_group_properties_with_http_info(self, scope, code, request_body, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete group properties # noqa: E501 Delete one or more properties from a single portfolio group. If the properties are time variant then an effective date time from which the properties will be deleted must be specified. If the properties are perpetual then it is invalid to specify an effective date time for deletion. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_group_properties_with_http_info(scope, code, request_body, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to delete properties from. (required) :param str code: The code of the group to delete properties from. Together with the scope this uniquely identifies the group. (required) :param list[str] request_body: The property keys of the properties to delete. These take the format {domain}/{scope}/{code} e.g. \"PortfolioGroup/Manager/Id\". Each property must be from the \"PortfolioGroup\" domain. (required) :param str effective_at: The effective datetime or cut label at which to delete the properties. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(DeletedEntityResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'request_body', 'effective_at'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 delete_group_properties" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'request_body' is set if ('request_body' not in local_var_params or local_var_params['request_body'] is None): raise ApiValueError("Missing the required parameter `request_body` when calling `delete_group_properties`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `delete_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `delete_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `delete_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `delete_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'request_body' in local_var_params: body_params = local_var_params['request_body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/properties/$delete', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DeletedEntityResponse', # 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) def delete_portfolio_from_group(self, scope, code, portfolio_scope, portfolio_code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete portfolio from group # noqa: E501 Remove a single portfolio from a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_portfolio_from_group(scope, code, portfolio_scope, portfolio_code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to remove the portfolio from. (required) :param str code: The code of the portfolio group to remove the portfolio from. Together with the scope this uniquely identifies the portfolio group. (required) :param str portfolio_scope: The scope of the portfolio being removed from the portfolio group. (required) :param str portfolio_code: The code of the portfolio being removed from the portfolio group. Together with the scope this uniquely identifies the portfolio to remove. (required) :param datetime effective_at: The effective datetime from which the portfolio will be removed from the portfolio group. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_portfolio_from_group_with_http_info(scope, code, portfolio_scope, portfolio_code, **kwargs) # noqa: E501 def delete_portfolio_from_group_with_http_info(self, scope, code, portfolio_scope, portfolio_code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete portfolio from group # noqa: E501 Remove a single portfolio from a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_portfolio_from_group_with_http_info(scope, code, portfolio_scope, portfolio_code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to remove the portfolio from. (required) :param str code: The code of the portfolio group to remove the portfolio from. Together with the scope this uniquely identifies the portfolio group. (required) :param str portfolio_scope: The scope of the portfolio being removed from the portfolio group. (required) :param str portfolio_code: The code of the portfolio being removed from the portfolio group. Together with the scope this uniquely identifies the portfolio to remove. (required) :param datetime effective_at: The effective datetime from which the portfolio will be removed from the portfolio group. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'portfolio_scope', 'portfolio_code', 'effective_at'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 delete_portfolio_from_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_from_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_from_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_from_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_from_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_from_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_from_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 if 'portfolio_scope' in local_var_params: path_params['portfolioScope'] = local_var_params['portfolio_scope'] # noqa: E501 if 'portfolio_code' in local_var_params: path_params['portfolioCode'] = local_var_params['portfolio_code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/portfolios/{portfolioScope}/{portfolioCode}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def delete_portfolio_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete portfolio group # noqa: E501 Delete a single portfolio group. A portfolio group can be deleted while it still contains portfolios or sub groups. In this case any portfolios or sub groups contained in this group will not be deleted, however they will no longer be grouped together by this portfolio group. The deletion will be valid from the portfolio group's creation datetime, ie. the portfolio group will no longer exist at any effective datetime from the asAt datetime of deletion. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_portfolio_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to delete. (required) :param str code: The code of the portfolio group to delete. Together with the scope this uniquely identifies the portfolio group to delete. (required) :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: DeletedEntityResponse If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_portfolio_group_with_http_info(scope, code, **kwargs) # noqa: E501 def delete_portfolio_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete portfolio group # noqa: E501 Delete a single portfolio group. A portfolio group can be deleted while it still contains portfolios or sub groups. In this case any portfolios or sub groups contained in this group will not be deleted, however they will no longer be grouped together by this portfolio group. The deletion will be valid from the portfolio group's creation datetime, ie. the portfolio group will no longer exist at any effective datetime from the asAt datetime of deletion. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_portfolio_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to delete. (required) :param str code: The code of the portfolio group to delete. Together with the scope this uniquely identifies the portfolio group to delete. (required) :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(DeletedEntityResponse, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 delete_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `delete_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `delete_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # 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( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='DeletedEntityResponse', # 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) def delete_sub_group_from_group(self, scope, code, subgroup_scope, subgroup_code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete sub group from group # noqa: E501 Remove a single portfolio group (sub group) from a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_sub_group_from_group(scope, code, subgroup_scope, subgroup_code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to remove the sub group from. (required) :param str code: The code of the portfolio group to remove the sub group from. Together with the scope this uniquely identifies the portfolio group. (required) :param str subgroup_scope: The scope of the sub group to remove from the portfolio group. (required) :param str subgroup_code: The code of the sub group to remove from the portfolio group. Together with the scope this uniquely identifies the sub group. (required) :param datetime effective_at: The effective datetime from which the sub group will be removed from the portfolio group. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.delete_sub_group_from_group_with_http_info(scope, code, subgroup_scope, subgroup_code, **kwargs) # noqa: E501 def delete_sub_group_from_group_with_http_info(self, scope, code, subgroup_scope, subgroup_code, **kwargs): # noqa: E501 """[EARLY ACCESS] Delete sub group from group # noqa: E501 Remove a single portfolio group (sub group) from a portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_sub_group_from_group_with_http_info(scope, code, subgroup_scope, subgroup_code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to remove the sub group from. (required) :param str code: The code of the portfolio group to remove the sub group from. Together with the scope this uniquely identifies the portfolio group. (required) :param str subgroup_scope: The scope of the sub group to remove from the portfolio group. (required) :param str subgroup_code: The code of the sub group to remove from the portfolio group. Together with the scope this uniquely identifies the sub group. (required) :param datetime effective_at: The effective datetime from which the sub group will be removed from the portfolio group. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'subgroup_scope', 'subgroup_code', 'effective_at'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 delete_sub_group_from_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_sub_group_from_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `delete_sub_group_from_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `delete_sub_group_from_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `delete_sub_group_from_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `delete_sub_group_from_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `delete_sub_group_from_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 if 'subgroup_scope' in local_var_params: path_params['subgroupScope'] = local_var_params['subgroup_scope'] # noqa: E501 if 'subgroup_code' in local_var_params: path_params['subgroupCode'] = local_var_params['subgroup_code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/subgroups/{subgroupScope}/{subgroupCode}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def get_group_properties(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get group properties # noqa: E501 List all the properties of a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_group_properties(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to list the properties for. (required) :param str code: The code of the group to list the properties for. Together with the scope this uniquely identifies the group. (required) :param str effective_at: The effective date time or cut label at which to list the group's properties. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt date time at which to list the group's properties. Defaults to return the latest version of each property if not specified. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroupProperties If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_group_properties_with_http_info(scope, code, **kwargs) # noqa: E501 def get_group_properties_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get group properties # noqa: E501 List all the properties of a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_group_properties_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to list the properties for. (required) :param str code: The code of the group to list the properties for. Together with the scope this uniquely identifies the group. (required) :param str effective_at: The effective date time or cut label at which to list the group's properties. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt date time at which to list the group's properties. Defaults to return the latest version of each property if not specified. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroupProperties, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'as_at'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_group_properties" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/properties', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroupProperties', # 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) def get_holdings_for_portfolio_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get holdings for transaction portfolios in portfolio group # noqa: E501 Get the holdings of transaction portfolios in specified portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_holdings_for_portfolio_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str effective_at: The effective datetime or cut label at which to retrieve the holdings of transaction portfolios in the portfolio group. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve the holdings of transaction portfolios in the portfolio group. Defaults to return the latest version of the holdings if not specified. :param str filter: Expression to filter the result set. Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Holding\" domain to decorate onto the holdings. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Holding/system/Cost\". :param bool by_taxlots: Whether or not to expand the holdings to return the underlying tax-lots. Defaults to False. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: VersionedResourceListOfPortfolioHolding If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_holdings_for_portfolio_group_with_http_info(scope, code, **kwargs) # noqa: E501 def get_holdings_for_portfolio_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get holdings for transaction portfolios in portfolio group # noqa: E501 Get the holdings of transaction portfolios in specified portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_holdings_for_portfolio_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str effective_at: The effective datetime or cut label at which to retrieve the holdings of transaction portfolios in the portfolio group. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve the holdings of transaction portfolios in the portfolio group. Defaults to return the latest version of the holdings if not specified. :param str filter: Expression to filter the result set. Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Holding\" domain to decorate onto the holdings. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Holding/system/Cost\". :param bool by_taxlots: Whether or not to expand the holdings to return the underlying tax-lots. Defaults to False. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(VersionedResourceListOfPortfolioHolding, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'as_at', 'filter', 'property_keys', 'by_taxlots'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_holdings_for_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_holdings_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_holdings_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_holdings_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_holdings_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_holdings_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_holdings_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'property_keys' in local_var_params: query_params.append(('propertyKeys', local_var_params['property_keys'])) # noqa: E501 collection_formats['propertyKeys'] = 'multi' # noqa: E501 if 'by_taxlots' in local_var_params: query_params.append(('byTaxlots', local_var_params['by_taxlots'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/holdings', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedResourceListOfPortfolioHolding', # 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) def get_portfolio_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group # noqa: E501 Retrieve the definition of a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to retrieve the definition for. (required) :param str code: The code of the portfolio group to retrieve the definition for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime at which to retrieve the portfolio group definition. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve the portfolio group definition. Defaults to return the latest version of the portfolio group definition if not specified. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_portfolio_group_with_http_info(scope, code, **kwargs) # noqa: E501 def get_portfolio_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group # noqa: E501 Retrieve the definition of a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to retrieve the definition for. (required) :param str code: The code of the portfolio group to retrieve the definition for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime at which to retrieve the portfolio group definition. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve the portfolio group definition. Defaults to return the latest version of the portfolio group definition if not specified. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'as_at'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def get_portfolio_group_commands(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group commands # noqa: E501 Gets all the commands that modified a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_commands(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to retrieve the commands for. (required) :param str code: The code of the portfolio group to retrieve the commands for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime from_as_at: The lower bound asAt datetime (inclusive) from which to retrieve commands. There is no lower bound if this is not specified. :param datetime to_as_at: The upper bound asAt datetime (inclusive) from which to retrieve commands. There is no upper bound if this is not specified. :param str filter: Expression to filter the result set. For example, to filter on the User ID, use \"userId.id eq 'string'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: ResourceListOfProcessedCommand If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_portfolio_group_commands_with_http_info(scope, code, **kwargs) # noqa: E501 def get_portfolio_group_commands_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group commands # noqa: E501 Gets all the commands that modified a single portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_commands_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to retrieve the commands for. (required) :param str code: The code of the portfolio group to retrieve the commands for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime from_as_at: The lower bound asAt datetime (inclusive) from which to retrieve commands. There is no lower bound if this is not specified. :param datetime to_as_at: The upper bound asAt datetime (inclusive) from which to retrieve commands. There is no upper bound if this is not specified. :param str filter: Expression to filter the result set. For example, to filter on the User ID, use \"userId.id eq 'string'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(ResourceListOfProcessedCommand, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'from_as_at', 'to_as_at', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_portfolio_group_commands" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'from_as_at' in local_var_params: query_params.append(('fromAsAt', local_var_params['from_as_at'])) # noqa: E501 if 'to_as_at' in local_var_params: query_params.append(('toAsAt', local_var_params['to_as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/commands', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceListOfProcessedCommand', # 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) def get_portfolio_group_expansion(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group expansion # noqa: E501 List all the portfolios in a group, including all portfolios within sub groups in the group. Each portfolio will be decorated with all of its properties unless a property filter is specified. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_expansion(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to expand. (required) :param str code: The code of the portfolio group to expand. Together with the scope this uniquely identifies the portfolio group to expand. (required) :param datetime effective_at: The effective datetime at which to expand the portfolio group. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to expand the portfolio group. Defaults to return the latest version of each portfolio in the group if not specified. :param list[str] property_filter: The restricted list of property keys from the \"Portfolio\" domain which will be decorated onto each portfolio. These take the format {domain}/{scope}/{code} e.g. \"Portfolio/Manager/Id\". :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: ExpandedGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_portfolio_group_expansion_with_http_info(scope, code, **kwargs) # noqa: E501 def get_portfolio_group_expansion_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get portfolio group expansion # noqa: E501 List all the portfolios in a group, including all portfolios within sub groups in the group. Each portfolio will be decorated with all of its properties unless a property filter is specified. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_expansion_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to expand. (required) :param str code: The code of the portfolio group to expand. Together with the scope this uniquely identifies the portfolio group to expand. (required) :param datetime effective_at: The effective datetime at which to expand the portfolio group. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to expand the portfolio group. Defaults to return the latest version of each portfolio in the group if not specified. :param list[str] property_filter: The restricted list of property keys from the \"Portfolio\" domain which will be decorated onto each portfolio. These take the format {domain}/{scope}/{code} e.g. \"Portfolio/Manager/Id\". :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(ExpandedGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'as_at', 'property_filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_portfolio_group_expansion" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_expansion`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_expansion`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_expansion`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_expansion`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_expansion`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_expansion`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'property_filter' in local_var_params: query_params.append(('propertyFilter', local_var_params['property_filter'])) # noqa: E501 collection_formats['propertyFilter'] = 'multi' # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/expansion', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ExpandedGroup', # 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) def get_portfolio_group_relations(self, scope, code, **kwargs): # noqa: E501 """[DEPRECATED] Get Relations for Portfolio Group # noqa: E501 Get relations for the specified Portfolio Group # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_relations(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str effective_at: The effective datetime or cut label at which to retrieve relations. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve relations. Defaults to return the latest LUSID AsAt time if not specified. :param str filter: Expression to filter the relations. Users should provide null or empty string for this field until further notice. :param list[str] identifier_types: Identifiers types (as property keys) used for referencing Persons or Legal Entities. These take the format {domain}/{scope}/{code} e.g. \"Person/CompanyDetails/Role\". They must be from the \"Person\" or \"LegalEntity\" domain. Only identifier types stated will be used to look up relevant entities in relations. If not applicable, provide an empty array. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: ResourceListOfRelation If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_portfolio_group_relations_with_http_info(scope, code, **kwargs) # noqa: E501 def get_portfolio_group_relations_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[DEPRECATED] Get Relations for Portfolio Group # noqa: E501 Get relations for the specified Portfolio Group # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_portfolio_group_relations_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str effective_at: The effective datetime or cut label at which to retrieve relations. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to retrieve relations. Defaults to return the latest LUSID AsAt time if not specified. :param str filter: Expression to filter the relations. Users should provide null or empty string for this field until further notice. :param list[str] identifier_types: Identifiers types (as property keys) used for referencing Persons or Legal Entities. These take the format {domain}/{scope}/{code} e.g. \"Person/CompanyDetails/Role\". They must be from the \"Person\" or \"LegalEntity\" domain. Only identifier types stated will be used to look up relevant entities in relations. If not applicable, provide an empty array. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(ResourceListOfRelation, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'as_at', 'filter', 'identifier_types'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_portfolio_group_relations" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_relations`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_relations`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_portfolio_group_relations`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_relations`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_relations`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_portfolio_group_relations`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'identifier_types' in local_var_params: query_params.append(('identifierTypes', local_var_params['identifier_types'])) # noqa: E501 collection_formats['identifierTypes'] = 'multi' # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/relations', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceListOfRelation', # 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) def get_transactions_for_portfolio_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get transactions for transaction portfolios in a portfolio group # noqa: E501 Get transactions for transaction portfolios in a portfolio group over a given interval of effective time. When the specified portfolio in a portfolio group is a derived transaction portfolio, the returned set of transactions is the union set of all transactions of the parent (and any grandparents etc.) and the specified derived transaction portfolio itself. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_transactions_for_portfolio_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str from_transaction_date: The lower bound effective datetime or cut label (inclusive) from which to retrieve the transactions. There is no lower bound if this is not specified. :param str to_transaction_date: The upper bound effective datetime or cut label (inclusive) from which to retrieve transactions. There is no upper bound if this is not specified. :param datetime as_at: The asAt datetime at which to retrieve the transactions. Defaults to return the latest version of each transaction if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Transaction Type, use \"type eq 'Buy'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Transaction\" domain to decorate onto the transactions. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Transaction/strategy/quantsignal\". :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: VersionedResourceListOfTransaction If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.get_transactions_for_portfolio_group_with_http_info(scope, code, **kwargs) # noqa: E501 def get_transactions_for_portfolio_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Get transactions for transaction portfolios in a portfolio group # noqa: E501 Get transactions for transaction portfolios in a portfolio group over a given interval of effective time. When the specified portfolio in a portfolio group is a derived transaction portfolio, the returned set of transactions is the union set of all transactions of the parent (and any grandparents etc.) and the specified derived transaction portfolio itself. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_transactions_for_portfolio_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group. (required) :param str code: The code of the portfolio group. Together with the scope this uniquely identifies the portfolio group. (required) :param str from_transaction_date: The lower bound effective datetime or cut label (inclusive) from which to retrieve the transactions. There is no lower bound if this is not specified. :param str to_transaction_date: The upper bound effective datetime or cut label (inclusive) from which to retrieve transactions. There is no upper bound if this is not specified. :param datetime as_at: The asAt datetime at which to retrieve the transactions. Defaults to return the latest version of each transaction if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Transaction Type, use \"type eq 'Buy'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param list[str] property_keys: A list of property keys from the \"Instrument\" or \"Transaction\" domain to decorate onto the transactions. These take the format {domain}/{scope}/{code} e.g. \"Instrument/system/Name\" or \"Transaction/strategy/quantsignal\". :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(VersionedResourceListOfTransaction, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'from_transaction_date', 'to_transaction_date', 'as_at', 'filter', 'property_keys'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 get_transactions_for_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `get_transactions_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `get_transactions_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `get_transactions_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `get_transactions_for_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `get_transactions_for_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `get_transactions_for_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'from_transaction_date' in local_var_params: query_params.append(('fromTransactionDate', local_var_params['from_transaction_date'])) # noqa: E501 if 'to_transaction_date' in local_var_params: query_params.append(('toTransactionDate', local_var_params['to_transaction_date'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 if 'property_keys' in local_var_params: query_params.append(('propertyKeys', local_var_params['property_keys'])) # noqa: E501 collection_formats['propertyKeys'] = 'multi' # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/transactions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='VersionedResourceListOfTransaction', # 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) def list_portfolio_groups(self, scope, **kwargs): # noqa: E501 """[EARLY ACCESS] List portfolio groups # noqa: E501 List all the portfolio groups in a single scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_portfolio_groups(scope, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope to list the portfolio groups in. (required) :param datetime effective_at: The effective datetime at which to list the portfolio groups. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to list the portfolio groups. Defaults to return the latest version of each portfolio group if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Display Name, use \"displayName eq 'string'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: ResourceListOfPortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.list_portfolio_groups_with_http_info(scope, **kwargs) # noqa: E501 def list_portfolio_groups_with_http_info(self, scope, **kwargs): # noqa: E501 """[EARLY ACCESS] List portfolio groups # noqa: E501 List all the portfolio groups in a single scope. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_portfolio_groups_with_http_info(scope, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope to list the portfolio groups in. (required) :param datetime effective_at: The effective datetime at which to list the portfolio groups. Defaults to the current LUSID system datetime if not specified. :param datetime as_at: The asAt datetime at which to list the portfolio groups. Defaults to return the latest version of each portfolio group if not specified. :param str filter: Expression to filter the result set. For example, to filter on the Display Name, use \"displayName eq 'string'\" Read more about filtering results from LUSID here https://support.lusid.com/filtering-results-from-lusid. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(ResourceListOfPortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'effective_at', 'as_at', 'filter'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 list_portfolio_groups" % key ) local_var_params[key] = val del local_var_params['kwargs'] collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 if 'as_at' in local_var_params: query_params.append(('asAt', local_var_params['as_at'])) # noqa: E501 if 'filter' in local_var_params: query_params.append(('filter', local_var_params['filter'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ResourceListOfPortfolioGroup', # 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) def update_portfolio_group(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Update portfolio group # noqa: E501 Update the definition of a single portfolio group. Not all elements within a portfolio group definition are modifiable due to the potential implications for data already stored against the portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_portfolio_group(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to update the definition for. (required) :param str code: The code of the portfolio group to update the definition for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime at which to update the definition. :param UpdatePortfolioGroupRequest update_portfolio_group_request: The updated portfolio group definition. :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroup If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.update_portfolio_group_with_http_info(scope, code, **kwargs) # noqa: E501 def update_portfolio_group_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Update portfolio group # noqa: E501 Update the definition of a single portfolio group. Not all elements within a portfolio group definition are modifiable due to the potential implications for data already stored against the portfolio group. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_portfolio_group_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the portfolio group to update the definition for. (required) :param str code: The code of the portfolio group to update the definition for. Together with the scope this uniquely identifies the portfolio group. (required) :param datetime effective_at: The effective datetime at which to update the definition. :param UpdatePortfolioGroupRequest update_portfolio_group_request: The updated portfolio group definition. :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroup, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'effective_at', 'update_portfolio_group_request'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 update_portfolio_group" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `update_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `update_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `update_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `update_portfolio_group`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `update_portfolio_group`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `update_portfolio_group`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] if 'effective_at' in local_var_params: query_params.append(('effectiveAt', local_var_params['effective_at'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None if 'update_portfolio_group_request' in local_var_params: body_params = local_var_params['update_portfolio_group_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroup', # 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) def upsert_group_properties(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Upsert group properties # noqa: E501 Update or insert one or more properties onto a single group. A property will be updated if it already exists and inserted if it does not. All properties must be of the domain 'PortfolioGroup'. Properties have an effectiveFrom datetime for which the property is valid, and an effectiveUntil datetime until which the property is valid. Not supplying an effectiveUntil datetime results in the property being valid indefinitely, or until the next effectiveFrom datetime of the property. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.upsert_group_properties(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to update or insert the properties onto. (required) :param str code: The code of the group to update or insert the properties onto. Together with the scope this uniquely identifies the group. (required) :param dict(str, ModelProperty) request_body: The properties to be updated or inserted onto the group. Each property in the request must be keyed by its unique property key. This has the format {domain}/{scope}/{code} e.g. \"PortfolioGroup/Manager/Id\". :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: PortfolioGroupProperties If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True return self.upsert_group_properties_with_http_info(scope, code, **kwargs) # noqa: E501 def upsert_group_properties_with_http_info(self, scope, code, **kwargs): # noqa: E501 """[EARLY ACCESS] Upsert group properties # noqa: E501 Update or insert one or more properties onto a single group. A property will be updated if it already exists and inserted if it does not. All properties must be of the domain 'PortfolioGroup'. Properties have an effectiveFrom datetime for which the property is valid, and an effectiveUntil datetime until which the property is valid. Not supplying an effectiveUntil datetime results in the property being valid indefinitely, or until the next effectiveFrom datetime of the property. # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.upsert_group_properties_with_http_info(scope, code, async_req=True) >>> result = thread.get() :param async_req bool: execute request asynchronously :param str scope: The scope of the group to update or insert the properties onto. (required) :param str code: The code of the group to update or insert the properties onto. Together with the scope this uniquely identifies the group. (required) :param dict(str, ModelProperty) request_body: The properties to be updated or inserted onto the group. Each property in the request must be keyed by its unique property key. This has the format {domain}/{scope}/{code} e.g. \"PortfolioGroup/Manager/Id\". :param _return_http_data_only: response data without head status code and headers :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :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: tuple(PortfolioGroupProperties, status_code(int), headers(HTTPHeaderDict)) If the method is called asynchronously, returns the request thread. """ local_var_params = locals() all_params = ['scope', 'code', 'request_body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') 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 upsert_group_properties" % key ) local_var_params[key] = val del local_var_params['kwargs'] if ('scope' in local_var_params and len(local_var_params['scope']) > 64): raise ApiValueError("Invalid value for parameter `scope` when calling `upsert_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('scope' in local_var_params and len(local_var_params['scope']) < 1): raise ApiValueError("Invalid value for parameter `scope` when calling `upsert_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'scope' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['scope']): # noqa: E501 raise ApiValueError("Invalid value for parameter `scope` when calling `upsert_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) > 64): raise ApiValueError("Invalid value for parameter `code` when calling `upsert_group_properties`, length must be less than or equal to `64`") # noqa: E501 if ('code' in local_var_params and len(local_var_params['code']) < 1): raise ApiValueError("Invalid value for parameter `code` when calling `upsert_group_properties`, length must be greater than or equal to `1`") # noqa: E501 if 'code' in local_var_params and not re.search(r'^[a-zA-Z0-9\-_]+$', local_var_params['code']): # noqa: E501 raise ApiValueError("Invalid value for parameter `code` when calling `upsert_group_properties`, must conform to the pattern `/^[a-zA-Z0-9\-_]+$/`") # noqa: E501 collection_formats = {} path_params = {} if 'scope' in local_var_params: path_params['scope'] = local_var_params['scope'] # noqa: E501 if 'code' in local_var_params: path_params['code'] = local_var_params['code'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'request_body' in local_var_params: body_params = local_var_params['request_body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['text/plain', 'application/json', 'text/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json-patch+json', 'application/json', 'text/json', 'application/*+json']) # noqa: E501 # Authentication setting auth_settings = ['oauth2'] # noqa: E501 # set the LUSID header header_params['X-LUSID-SDK-Language'] = 'Python' header_params['X-LUSID-SDK-Version'] = '0.11.2808' return self.api_client.call_api( '/api/portfoliogroups/{scope}/{code}/properties/$upsert', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='PortfolioGroupProperties', # 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)

61.451524

550

0.644892

19,297

155,288

4.994818

0.021869

0.043658

0.071173

0.028718

0.978067

0.975318

0.972848

0.968698

0.965181

0.961498

0

0.01585

0.273138

155,288

2,526

551

61.475851

0.838075

0.466314

0

0.7856

1

0.072

0.308479

0.087935

0

1

0.0296

false

0

0.004

0

0.0632

0

null

0

1

0

1

0

null

0

8

db090c564c3149498b75a1c0932152d88c3d7046

182

py

Python

tests/test_classical/__init__.py

infinitemugen/genrl

602587417ce167380c90a726764a3efa4643dc38

[ "MIT" ]

null

tests/test_classical/__init__.py

infinitemugen/genrl

602587417ce167380c90a726764a3efa4643dc38

[ "MIT" ]

null

tests/test_classical/__init__.py

infinitemugen/genrl

602587417ce167380c90a726764a3efa4643dc38

[ "MIT" ]

null

from tests.test_classical.test_common import TestTrainer, TestModels from tests.test_classical.test_bandits import TestBandit from tests.test_classical.test_agents import TestAgents

45.5

68

0.89011

25

182

6.24

0.48

0.173077

0.25

0.423077

0.5

0

0.071429

182

3

69

60.666667

0.923077

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

7

c040f6ee38cd450de39f9b43f73efed874ded3e1

19,375

py

Python

pynos/versions/base/yang/brocade_fcoe.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

12

2015-09-21T23:56:09.000Z

2018-03-30T04:35:32.000Z

pynos/versions/base/yang/brocade_fcoe.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

10

2016-09-15T19:03:27.000Z

2017-07-17T23:38:01.000Z

pynos/versions/base/yang/brocade_fcoe.py

bdeetz/pynos

bd8a34e98f322de3fc06750827d8bbc3a0c00380

[ "Apache-2.0" ]

6

2015-08-14T08:05:23.000Z

2022-02-03T15:33:54.000Z

#!/usr/bin/env python import xml.etree.ElementTree as ET class brocade_fcoe(object): """Auto generated class. """ def __init__(self, **kwargs): self._callback = kwargs.pop('callback') def fcoe_fsb_fcoe_fsb_enable(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe_fsb = ET.SubElement(config, "fcoe-fsb", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fsb_enable = ET.SubElement(fcoe_fsb, "fcoe-fsb-enable") callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name.text = kwargs.pop('fcoe_fabric_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_vlan(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_vlan = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-vlan") fcoe_fabric_map_vlan.text = kwargs.pop('fcoe_fabric_map_vlan') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_priority(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_priority = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-priority") fcoe_fabric_map_priority.text = kwargs.pop('fcoe_fabric_map_priority') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_virtual_fabric(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_virtual_fabric = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-virtual-fabric") fcoe_fabric_map_virtual_fabric.text = kwargs.pop('fcoe_fabric_map_virtual_fabric') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_fcmap(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_fcmap = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-fcmap") fcoe_fabric_map_fcmap.text = kwargs.pop('fcoe_fabric_map_fcmap') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fip_advertisement_fcoe_fip_advertisement_interval(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fip_advertisement = ET.SubElement(fcoe_fabric_map, "fcoe-fip-advertisement") fcoe_fip_advertisement_interval = ET.SubElement(fcoe_fip_advertisement, "fcoe-fip-advertisement-interval") fcoe_fip_advertisement_interval.text = kwargs.pop('fcoe_fip_advertisement_interval') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fip_keep_alive_fcoe_fip_keep_alive_timeout(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fip_keep_alive = ET.SubElement(fcoe_fabric_map, "fcoe-fip-keep-alive") fcoe_fip_keep_alive_timeout = ET.SubElement(fcoe_fip_keep_alive, "fcoe-fip-keep-alive-timeout") callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name.text = kwargs.pop('fcoe_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_fabric_map_fcoe_map_fabric_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name_key = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name_key.text = kwargs.pop('fcoe_map_name') fcoe_map_fabric_map = ET.SubElement(fcoe_map, "fcoe-map-fabric-map") fcoe_map_fabric_map_name = ET.SubElement(fcoe_map_fabric_map, "fcoe-map-fabric-map-name") fcoe_map_fabric_map_name.text = kwargs.pop('fcoe_map_fabric_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_cee_map_fcoe_map_cee_map_leaf(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name_key = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name_key.text = kwargs.pop('fcoe_map_name') fcoe_map_cee_map = ET.SubElement(fcoe_map, "fcoe-map-cee-map") fcoe_map_cee_map_leaf = ET.SubElement(fcoe_map_cee_map, "fcoe-map-cee-map-leaf") fcoe_map_cee_map_leaf.text = kwargs.pop('fcoe_map_cee_map_leaf') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name.text = kwargs.pop('fcf_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_fcoe_map_fcf_map_fcoe_map_leaf(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name_key = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name_key.text = kwargs.pop('fcf_map_name') fcf_map_fcoe_map = ET.SubElement(fcoe_fcf_map, "fcf-map-fcoe-map") fcf_map_fcoe_map_leaf = ET.SubElement(fcf_map_fcoe_map, "fcf-map-fcoe-map-leaf") fcf_map_fcoe_map_leaf.text = kwargs.pop('fcf_map_fcoe_map_leaf') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_ag_rbid(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name_key = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name_key.text = kwargs.pop('fcf_map_name') fcf_map_ag_rbid = ET.SubElement(fcoe_fcf_map, "fcf-map-ag-rbid") fcf_map_ag_rbid.text = kwargs.pop('fcf_map_ag_rbid') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fsb_fcoe_fsb_enable(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe_fsb = ET.SubElement(config, "fcoe-fsb", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fsb_enable = ET.SubElement(fcoe_fsb, "fcoe-fsb-enable") callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name.text = kwargs.pop('fcoe_fabric_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_vlan(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_vlan = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-vlan") fcoe_fabric_map_vlan.text = kwargs.pop('fcoe_fabric_map_vlan') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_priority(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_priority = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-priority") fcoe_fabric_map_priority.text = kwargs.pop('fcoe_fabric_map_priority') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_virtual_fabric(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_virtual_fabric = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-virtual-fabric") fcoe_fabric_map_virtual_fabric.text = kwargs.pop('fcoe_fabric_map_virtual_fabric') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fabric_map_fcmap(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fabric_map_fcmap = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-fcmap") fcoe_fabric_map_fcmap.text = kwargs.pop('fcoe_fabric_map_fcmap') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fip_advertisement_fcoe_fip_advertisement_interval(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fip_advertisement = ET.SubElement(fcoe_fabric_map, "fcoe-fip-advertisement") fcoe_fip_advertisement_interval = ET.SubElement(fcoe_fip_advertisement, "fcoe-fip-advertisement-interval") fcoe_fip_advertisement_interval.text = kwargs.pop('fcoe_fip_advertisement_interval') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fabric_map_fcoe_fip_keep_alive_fcoe_fip_keep_alive_timeout(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fabric_map = ET.SubElement(fcoe, "fcoe-fabric-map") fcoe_fabric_map_name_key = ET.SubElement(fcoe_fabric_map, "fcoe-fabric-map-name") fcoe_fabric_map_name_key.text = kwargs.pop('fcoe_fabric_map_name') fcoe_fip_keep_alive = ET.SubElement(fcoe_fabric_map, "fcoe-fip-keep-alive") fcoe_fip_keep_alive_timeout = ET.SubElement(fcoe_fip_keep_alive, "fcoe-fip-keep-alive-timeout") callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name.text = kwargs.pop('fcoe_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_fabric_map_fcoe_map_fabric_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name_key = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name_key.text = kwargs.pop('fcoe_map_name') fcoe_map_fabric_map = ET.SubElement(fcoe_map, "fcoe-map-fabric-map") fcoe_map_fabric_map_name = ET.SubElement(fcoe_map_fabric_map, "fcoe-map-fabric-map-name") fcoe_map_fabric_map_name.text = kwargs.pop('fcoe_map_fabric_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_map_fcoe_map_cee_map_fcoe_map_cee_map_leaf(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_map = ET.SubElement(fcoe, "fcoe-map") fcoe_map_name_key = ET.SubElement(fcoe_map, "fcoe-map-name") fcoe_map_name_key.text = kwargs.pop('fcoe_map_name') fcoe_map_cee_map = ET.SubElement(fcoe_map, "fcoe-map-cee-map") fcoe_map_cee_map_leaf = ET.SubElement(fcoe_map_cee_map, "fcoe-map-cee-map-leaf") fcoe_map_cee_map_leaf.text = kwargs.pop('fcoe_map_cee_map_leaf') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_name(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name.text = kwargs.pop('fcf_map_name') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_fcoe_map_fcf_map_fcoe_map_leaf(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name_key = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name_key.text = kwargs.pop('fcf_map_name') fcf_map_fcoe_map = ET.SubElement(fcoe_fcf_map, "fcf-map-fcoe-map") fcf_map_fcoe_map_leaf = ET.SubElement(fcf_map_fcoe_map, "fcf-map-fcoe-map-leaf") fcf_map_fcoe_map_leaf.text = kwargs.pop('fcf_map_fcoe_map_leaf') callback = kwargs.pop('callback', self._callback) return callback(config) def fcoe_fcoe_fcf_map_fcf_map_ag_rbid(self, **kwargs): """Auto Generated Code """ config = ET.Element("config") fcoe = ET.SubElement(config, "fcoe", xmlns="urn:brocade.com:mgmt:brocade-fcoe") fcoe_fcf_map = ET.SubElement(fcoe, "fcoe-fcf-map") fcf_map_name_key = ET.SubElement(fcoe_fcf_map, "fcf-map-name") fcf_map_name_key.text = kwargs.pop('fcf_map_name') fcf_map_ag_rbid = ET.SubElement(fcoe_fcf_map, "fcf-map-ag-rbid") fcf_map_ag_rbid.text = kwargs.pop('fcf_map_ag_rbid') callback = kwargs.pop('callback', self._callback) return callback(config)

49.55243

114

0.677781

2,630

19,375

4.656274

0.020152

0.135228

0.176221

0.080516

0.989384

0

0.19969

19,375

391

115

49.55243

0.789759

0.044335

0

0.985294

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0.203037

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0

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0

0.216912

0

null

0

1

0

1

0

null

0

8

c0567dc47314bcaa4a712ac3fe3a0180b2592eb0

799

py

Python

tests/test_commandline_history.py

sameerkhurana10/Montreal-Forced-Aligner

b64b6bf4aa0394d59236510a05453740e7e7ebf5

[ "MIT" ]

null

tests/test_commandline_history.py

sameerkhurana10/Montreal-Forced-Aligner

b64b6bf4aa0394d59236510a05453740e7e7ebf5

[ "MIT" ]

null

tests/test_commandline_history.py

sameerkhurana10/Montreal-Forced-Aligner

b64b6bf4aa0394d59236510a05453740e7e7ebf5

[ "MIT" ]

null

from montreal_forced_aligner.command_line.mfa import parser, print_history def test_mfa_history( multilingual_ipa_tg_corpus_dir, english_ipa_acoustic_model, english_us_ipa_dictionary, temp_dir ): command = ["history", "--depth", "60"] args, unknown = parser.parse_known_args(command) print_history(args) command = ["history"] args, unknown = parser.parse_known_args(command) print_history(args) def test_mfa_history_verbose( multilingual_ipa_tg_corpus_dir, english_ipa_acoustic_model, english_us_ipa_dictionary, temp_dir ): command = ["history", "-v", "--depth", "60"] args, unknown = parser.parse_known_args(command) print_history(args) command = ["history", "-v"] args, unknown = parser.parse_known_args(command) print_history(args)

28.535714

99

0.739675

104

799

5.269231

0.307692

0.120438

0.124088

0.160584

0.806569

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799

27

100

29.592593

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0

1

0.105263

false

0

0.052632

0

0.157895

0.263158

0

null

0

1

0

null

0

7

c05c0f0212eb35a5145d50c8092904defe4d0772

3,580

py

Python

app/forms.py

SeulYoung/ContractManagement

4a5ae774c340df6718aaa9af8b9f291924fb8a33

[ "BSD-3-Clause" ]

2

2018-12-11T02:51:51.000Z

2020-11-17T13:42:18.000Z

app/forms.py

SeulYoung/ContractManagement

4a5ae774c340df6718aaa9af8b9f291924fb8a33

[ "BSD-3-Clause" ]

6

2020-02-11T23:29:03.000Z

2022-02-10T10:27:38.000Z

app/forms.py

SeulYoung/ContractManagement

4a5ae774c340df6718aaa9af8b9f291924fb8a33

[ "BSD-3-Clause" ]

1

2019-07-12T09:07:42.000Z

from django import forms from django.contrib.auth.models import User from django.core.exceptions import ValidationError from django.db.models import Q class RegistrationForm(forms.Form): username = forms.CharField(label='Username', max_length=40) email = forms.EmailField(label='Email') password1 = forms.CharField(label='Password1', widget=forms.PasswordInput) password2 = forms.CharField(label='Password2', widget=forms.PasswordInput) def clean_username(self): username = self.cleaned_data.get('username') if len(username) < 4: raise forms.ValidationError("用户名最短4个字符") elif len(username) > 50: raise forms.ValidationError("用户名最长50个字符") else: filter_result = User.objects.filter(username=username) if len(filter_result) > 0: raise forms.ValidationError("用户名已存在") return username def clean_email(self): try: email = self.cleaned_data.get('email') except ValidationError: raise forms.ValidationError("邮箱格式错误") filter_result = User.objects.filter(email=email) if len(filter_result) > 0: raise forms.ValidationError("邮箱已被注册") return email def clean_password1(self): password1 = self.cleaned_data.get('password1') if len(password1) < 4: raise forms.ValidationError("密码最短6个字符") elif len(password1) > 20: raise forms.ValidationError("密码最长20个字符") return password1 def clean_password2(self): password1 = self.cleaned_data.get('password1') password2 = self.cleaned_data.get('password2') if password1 and password2 and password1 != password2: raise forms.ValidationError("两次密码不一致") return password2 class LoginForm(forms.Form): username = forms.CharField(label='Username', max_length=40) password = forms.CharField(label='Password', widget=forms.PasswordInput) def clean_username(self): username = self.cleaned_data.get('username') filter_result = User.objects.filter(Q(username=username) | Q(email=username)) if not filter_result: raise forms.ValidationError("用户不存在") return username class EmailForm(forms.Form): email = forms.EmailField(label='Email') password = forms.CharField(label='Password', widget=forms.PasswordInput) def clean_email(self): try: email = self.cleaned_data.get('email') except ValidationError: raise forms.ValidationError("邮箱格式错误") filter_result = User.objects.filter(email=email) if len(filter_result) > 0: raise forms.ValidationError("邮箱已被注册") return email class PasswordForm(forms.Form): old_password = forms.CharField(label='OldPassword', widget=forms.PasswordInput) password1 = forms.CharField(label='Password1', widget=forms.PasswordInput) password2 = forms.CharField(label='Password2', widget=forms.PasswordInput) def clean_password1(self): password1 = self.cleaned_data.get('password1') if len(password1) < 6: raise forms.ValidationError("密码最短6个字符") elif len(password1) > 20: raise forms.ValidationError("密码最长20个字符") return password1 def clean_password2(self): password1 = self.cleaned_data.get('password1') password2 = self.cleaned_data.get('password2') if password1 and password2 and password1 != password2: raise forms.ValidationError("两次密码不一致") return password2

36.907216

85

0.667318

382

3,580

6.17801

0.175393

0.059322

0.148305

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0.783475

0.733475

0.715254

0

0.023585

0.230168

3,580

96

86

37.291667

0.832729

0

0.7375

0

0.075698

0

1

0.1

false

0.35

0.05

0

0.4375

0

null

0

1

0

1

0

null

0

1

0

7

fbfeda7759d4eae6c6cbe29577b1a67f0ef08511

4,055

py

Python

resources/migrations/0091_add_two_permissions.py

mskoskel/respa

b1e148021b36e7153b9da60cff4a4a1167d23c90

[ "MIT" ]

49

2015-10-21T06:25:31.000Z

2022-03-20T07:24:20.000Z

resources/migrations/0091_add_two_permissions.py

mskoskel/respa

b1e148021b36e7153b9da60cff4a4a1167d23c90

[ "MIT" ]

728

2015-06-24T13:26:54.000Z

2022-03-24T12:18:41.000Z

resources/migrations/0091_add_two_permissions.py

digipointtku/respa

a529e0df4d3f072df7801adb5bf97a5f4abd1243

[ "MIT" ]

46

2015-06-26T10:52:57.000Z

2021-12-17T09:38:25.000Z

# Generated by Django 2.2.10 on 2020-03-25 10:40 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('resources', '0090_more_changes_to_resource_price_fields'), ] operations = [ migrations.AlterModelOptions( name='resourcegroup', options={'ordering': ('name',), 'permissions': [('group:can_approve_reservation', 'Can approve reservation'), ('group:can_make_reservations', 'Can make reservations'), ('group:can_modify_reservations', 'Can modify reservations'), ('group:can_ignore_opening_hours', 'Can make reservations outside opening hours'), ('group:can_view_reservation_access_code', 'Can view reservation access code'), ('group:can_view_reservation_extra_fields', 'Can view reservation extra fields'), ('group:can_view_reservation_user', 'Can view reservation user'), ('group:can_access_reservation_comments', 'Can access reservation comments'), ('group:can_comment_reservations', 'Can create comments for a reservation'), ('group:can_view_reservation_catering_orders', 'Can view reservation catering orders'), ('group:can_modify_reservation_catering_orders', 'Can modify reservation catering orders'), ('group:can_view_reservation_product_orders', 'Can view reservation product orders'), ('group:can_modify_paid_reservations', 'Can modify paid reservations'), ('group:can_bypass_payment', 'Can bypass payment for paid reservations'), ('group:can_create_staff_event', 'Can create a reservation that is a staff event'), ('group:can_create_special_type_reservation', 'Can create reservations of a non-normal type'), ('group:can_bypass_manual_confirmation', 'Can bypass manual confirmation requirement for resources'), ('group:can_create_reservations_for_other_users', 'Can create reservations for other registered users'), ('group:can_create_overlapping_reservations', 'Can create overlapping reservations'), ('group:can_ignore_max_reservations_per_user', 'Can ignore resources max reservations per user rule'), ('group:can_ignore_max_period', 'Can ignore resources max period rule')], 'verbose_name': 'Resource group', 'verbose_name_plural': 'Resource groups'}, ), migrations.AlterModelOptions( name='unit', options={'ordering': ('name',), 'permissions': [('unit:can_approve_reservation', 'Can approve reservation'), ('unit:can_make_reservations', 'Can make reservations'), ('unit:can_modify_reservations', 'Can modify reservations'), ('unit:can_ignore_opening_hours', 'Can make reservations outside opening hours'), ('unit:can_view_reservation_access_code', 'Can view reservation access code'), ('unit:can_view_reservation_extra_fields', 'Can view reservation extra fields'), ('unit:can_view_reservation_user', 'Can view reservation user'), ('unit:can_access_reservation_comments', 'Can access reservation comments'), ('unit:can_comment_reservations', 'Can create comments for a reservation'), ('unit:can_view_reservation_catering_orders', 'Can view reservation catering orders'), ('unit:can_modify_reservation_catering_orders', 'Can modify reservation catering orders'), ('unit:can_view_reservation_product_orders', 'Can view reservation product orders'), ('unit:can_modify_paid_reservations', 'Can modify paid reservations'), ('unit:can_bypass_payment', 'Can bypass payment for paid reservations'), ('unit:can_create_staff_event', 'Can create a reservation that is a staff event'), ('unit:can_create_special_type_reservation', 'Can create reservations of a non-normal type'), ('unit:can_bypass_manual_confirmation', 'Can bypass manual confirmation requirement for resources'), ('unit:can_create_reservations_for_other_users', 'Can create reservations for other registered users'), ('unit:can_create_overlapping_reservations', 'Can create overlapping reservations'), ('unit:can_ignore_max_reservations_per_user', 'Can ignore resources max reservations per user rule'), ('unit:can_ignore_max_period', 'Can ignore resources max period rule')], 'verbose_name': 'unit', 'verbose_name_plural': 'units'}, ), ]

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9

220ddd7b2680d607a7991a6c8b74cf2908d31a24

362

py

Python

product_management_models/product_supplies/views.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

product_management_models/product_supplies/views.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

product_management_models/product_supplies/views.py

reimibeta/django-product-management-models

f51e94cc6ae605ea21706ffe2baedc53b980112f

[ "Apache-2.0" ]

null

# product supply from product_management_models.product_supplies.class_views.product_supply_view_set import * # product supply stock from product_management_models.product_supplies.class_views.product_supply_stock_view_set import * # product supply delivery from product_management_models.product_supplies.class_views.product_supply_delivery_view_set import *

40.222222

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224e52df1f90b29102d137741bcfefaf8b203f92

142

py

Python

Oefeningen/standalone/functions_8.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

Oefeningen/standalone/functions_8.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

Oefeningen/standalone/functions_8.py

Seviran/Python_3

e30ead250129d25bbc0a7ee2f6298775b2f4529a

[ "MIT" ]

null

def multiple_letter_count(string): return {letter: string.count(letter) for letter in string} print(multiple_letter_count('awesome'))

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7

224fa58f5d04d462331d8cccd967419c7638905c

23,156

py

Python

cronus/tests/test_cronus.py

ryanmwhitephd/cronus

7b0b995977789540e77d9a672a2ac40d7420938a

[ "Apache-2.0" ]

null

cronus/tests/test_cronus.py

ryanmwhitephd/cronus

7b0b995977789540e77d9a672a2ac40d7420938a

[ "Apache-2.0" ]

1

2020-05-22T15:47:01.000Z

2020-05-29T18:22:31.000Z

cronus/tests/test_cronus.py

ryanmwhitephd/cronus

7b0b995977789540e77d9a672a2ac40d7420938a

[ "Apache-2.0" ]

null

#! /usr/bin/env python # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © Her Majesty the Queen in Right of Canada, as represented # by the Minister of Statistics Canada, 2019. # # 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. """ Test Class for Artemis MetaStore """ import unittest import logging import tempfile import os, shutil from pathlib import Path import pyarrow as pa from cronus.core.cronus import BaseObjectStore, JobBuilder from artemis_format.pymodels.cronus_pb2 import ( CronusStore, CronusObjectStore, CronusObject, ) from artemis_format.pymodels.cronus_pb2 import ( DummyMessage, FileObjectInfo, MenuObjectInfo, ConfigObjectInfo, DatasetObjectInfo, ) from artemis_format.pymodels.menu_pb2 import Menu as Menu_pb from artemis_format.pymodels.configuration_pb2 import Configuration import uuid logging.getLogger().setLevel(logging.INFO) class CronusTestCase(unittest.TestCase): def setUp(self): print("================================================") print("Beginning new TestCase %s" % self._testMethodName) print("================================================") pass def tearDown(self): pass def test_menu(self): testmenu = Menu_pb() print(type(testmenu)) print(testmenu) testmenu.uuid = str(uuid.uuid4()) testmenu.name = f"{testmenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(testmenu.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message menu_uuid = store.register_content(testmenu, menuinfo).uuid store.put(menu_uuid, testmenu) amenu = Menu_pb() store.get(menu_uuid, amenu) self.assertEqual(testmenu.name, amenu.name) self.assertEqual(testmenu.uuid, amenu.uuid) def test_config(self): myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message config_uuid = store.register_content(myconfig, configinfo).uuid store.put(config_uuid, myconfig) aconfig = Configuration() store.get(config_uuid, aconfig) self.assertEqual(myconfig.name, aconfig.name) self.assertEqual(myconfig.uuid, aconfig.uuid) def test_arrow(self): data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymsg = DummyMessage() mymsg.name = "dummy" mymsg.description = "really dumb" mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid print(menu_uuid) print(config_uuid) dataset = store.register_dataset(menu_uuid, config_uuid) store.new_partition(dataset.uuid, "key") job_id = store.new_job(dataset.uuid) id_ = store.register_content( buf, fileinfo, dataset_id=dataset.uuid, job_id=0, partition_key="key" ).uuid print(store[id_].address) store.put(id_, buf) for item in Path(_path).iterdir(): print(item) buf = pa.py_buffer(store.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) reader = store.open(id_) self.assertEqual(reader.num_record_batches, 10) def test_register_object(self): data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymsg = DummyMessage() mymsg.name = "dummy" mymsg.description = "really dumb" mymenu = CronusObject() mymenu.name = "menu" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid dataset = store.register_dataset(menu_uuid, config_uuid) store.new_partition(dataset.uuid, "key") path = dirpath + "/test/dummy.arrow" with pa.OSFile(str(path), "wb") as f: f.write(sink.getvalue()) id_ = store.register_content( path, fileinfo, dataset_id=dataset.uuid, partition_key="key" ).uuid print(store[id_].address) buf = pa.py_buffer(store.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) def test_identical_files(self): print("Testing add file from path") data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymsg = DummyMessage() mymsg.name = "dummy" mymsg.description = "really dumb" mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid dataset = store.register_dataset(menu_uuid, config_uuid) store.new_partition(dataset.uuid, "key") path = dirpath + "/test/dummy.arrow" with pa.OSFile(str(path), "wb") as f: f.write(sink.getvalue()) id_ = store.register_content( path, fileinfo, dataset_id=dataset.uuid, partition_key="key" ).uuid print(id_, store[id_].address) buf = pa.py_buffer(store._get_object(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) path = dirpath + "/test/dummy2.arrow" with pa.OSFile(str(path), "wb") as f: f.write(sink.getvalue()) id_ = store.register_content( path, fileinfo, dataset_id=dataset.uuid, partition_key="key" ).uuid print(id_, store[id_].address) buf = pa.py_buffer(store.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) print("Test Done ===========================") def test_dir_glob(self): print("Testing directory globbing") data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymsg = DummyMessage() mymsg.name = "dummy" mymsg.description = "really dumb" store_id = str(uuid.uuid4()) mystore = CronusObjectStore() mystore.name = "test" mystore.uuid = str(store_id) mystore.parent_uuid = "" # top level store with tempfile.TemporaryDirectory() as dirpath: mystore.address = dirpath + "/test" _path = Path(mystore.address) _path.mkdir() store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid dataset = store.register_dataset(menu_uuid, config_uuid) store.new_partition(dataset.uuid, "key") path = dirpath + "/test/dummy.arrow" with pa.OSFile(str(path), "wb") as f: f.write(sink.getvalue()) path = dirpath + "/test/dummy2.arrow" with pa.OSFile(str(path), "wb") as f: f.write(sink.getvalue()) objs_ = store.register_content( mystore.address, fileinfo, glob="*arrow", dataset_id=dataset.uuid, partition_key="key", ) for obj_ in objs_: print(obj_.uuid, store[obj_.uuid].address) buf = pa.py_buffer(store.get(obj_.uuid)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) ds = store.list(suffix="dataset") for d in ds: p = d.uuid + ".part_key" f = store.list(prefix=p, suffix="arrow") print(f) print("Test Done ===========================") def test_register_dataset(self): # Create a fake dataset # from a menu_id and menu msg # from a config_id and config msg # add files # add tables mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) store_id = str(uuid.uuid4()) mystore = CronusObjectStore() mystore.name = "test" mystore.uuid = str(store_id) mystore.parent_uuid = "" # top level store print("Testing directory globbing") data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) # schema = batch.schema.to_pybytes() sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.num_columns = 3 with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore(str(_path), "test") store_id = store.store_uuid print(store.store_info.created.ToDatetime()) menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid print(menu_uuid) print(config_uuid) dataset = store.register_dataset(menu_uuid, config_uuid) store.new_partition(dataset.uuid, "key") job_id = store.new_job(dataset.uuid) store.register_content( buf, fileinfo, dataset_id=dataset.uuid, partition_key="key", job_id=job_id, ) ds = store.list(suffix="dataset") print(ds) def test_validation(self): print("Simulate production") data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid dataset = store.register_dataset(menu_uuid, config_uuid) # Multiple streams store.new_partition(dataset.uuid, "key1") store.new_partition(dataset.uuid, "key2") store.new_partition(dataset.uuid, "key3") fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" ids_ = [] parts = store.list_partitions(dataset.uuid) # reload menu and config newmenu = Menu_pb() store.get(menu_uuid, newmenu) newconfig = Configuration() store.get(config_uuid, newconfig) print(parts) for _ in range(10): job_id = store.new_job(dataset.uuid) for key in parts: ids_.append( store.register_content( buf, fileinfo, dataset_id=dataset.uuid, job_id=job_id, partition_key=key, ).uuid ) store.put(ids_[-1], buf) for id_ in ids_: buf = pa.py_buffer(store.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) # Save the store, reload store.save_store() newstore = BaseObjectStore(str(_path), "test", store_uuid=store.store_uuid) for id_ in ids_: print("Get object %s", id_) print(type(id_)) buf = pa.py_buffer(newstore.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) print(newmenu) print(newconfig) print("Simulation Test Done ===========================") def test_validation(self): print("Simulate production") data = [ pa.array([1, 2, 3, 4]), pa.array(["foo", "bar", "baz", None]), pa.array([True, None, False, True]), ] batch = pa.RecordBatch.from_arrays(data, ["f0", "f1", "f2"]) sink = pa.BufferOutputStream() writer = pa.RecordBatchFileWriter(sink, batch.schema) for i in range(10): writer.write_batch(batch) writer.close() buf = sink.getvalue() mymenu = Menu_pb() mymenu.uuid = str(uuid.uuid4()) mymenu.name = f"{mymenu.uuid}.menu.dat" menuinfo = MenuObjectInfo() menuinfo.created.GetCurrentTime() bufmenu = pa.py_buffer(mymenu.SerializeToString()) myconfig = Configuration() myconfig.uuid = str(uuid.uuid4()) myconfig.name = f"{myconfig.uuid}.config.dat" configinfo = ConfigObjectInfo() configinfo.created.GetCurrentTime() bufconfig = pa.py_buffer(myconfig.SerializeToString()) with tempfile.TemporaryDirectory() as dirpath: _path = dirpath + "/test" store = BaseObjectStore( str(_path), "test" ) # wrapper to the CronusStore message # Following puts the menu and config to the datastore menu_uuid = store.register_content(mymenu, menuinfo).uuid config_uuid = store.register_content(myconfig, configinfo).uuid dataset = store.register_dataset(menu_uuid, config_uuid) # Multiple streams store.new_partition(dataset.uuid, "key1") store.new_partition(dataset.uuid, "key2") store.new_partition(dataset.uuid, "key3") fileinfo = FileObjectInfo() fileinfo.type = 5 fileinfo.aux.description = "Some dummy data" ids_ = [] parts = store.list_partitions(dataset.uuid) # reload menu and config newmenu = Menu_pb() store.get(menu_uuid, newmenu) newconfig = Configuration() store.get(config_uuid, newconfig) print(parts) for _ in range(10): job_id = store.new_job(dataset.uuid) for key in parts: ids_.append( store.register_content( buf, fileinfo, dataset_id=dataset.uuid, job_id=job_id, partition_key=key, ).uuid ) store.put(ids_[-1], buf) for id_ in ids_: buf = pa.py_buffer(store.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) # Save the store, reload store.save_store() newstore = BaseObjectStore( str(_path), store._name, store_uuid=store.store_uuid ) for id_ in ids_: print("Get object %s", id_) print(type(id_)) buf = pa.py_buffer(newstore.get(id_)) reader = pa.ipc.open_file(buf) self.assertEqual(reader.num_record_batches, 10) print(newmenu) print(newconfig) print("Simulation Test Done ===========================") if __name__ == "__main__": unittest.main()

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358

py

Python

nighres/data/__init__.py

marcobarilari/nighres

e503bb96a6a73f73020c5d9d7b540bc5f17699a8

[ "Apache-2.0" ]

41

2017-08-15T12:23:31.000Z

2022-02-28T15:12:22.000Z

nighres/data/__init__.py

marcobarilari/nighres

e503bb96a6a73f73020c5d9d7b540bc5f17699a8

[ "Apache-2.0" ]

130

2017-07-27T11:09:09.000Z

2022-03-31T10:05:07.000Z

nighres/data/__init__.py

marcobarilari/nighres

e503bb96a6a73f73020c5d9d7b540bc5f17699a8

[ "Apache-2.0" ]

35

2017-08-17T17:05:41.000Z

2022-03-28T12:22:14.000Z

from nighres.data.download_data import download_7T_TRT from nighres.data.download_data import download_DTI_2mm from nighres.data.download_data import download_DOTS_atlas from nighres.data.download_data import download_MASSP_atlas from nighres.data.download_data import download_MP2RAGEME_sample from nighres.data.download_data import download_AHEAD_template

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Python

tests/integration/users/test_authentication.py

e-dang/Autogarden

b15217e5d4755fc028b8dc4255cbdcb77ead80f4

[ "MIT" ]

null

tests/integration/users/test_authentication.py

e-dang/Autogarden

b15217e5d4755fc028b8dc4255cbdcb77ead80f4

[ "MIT" ]

null

tests/integration/users/test_authentication.py

e-dang/Autogarden

b15217e5d4755fc028b8dc4255cbdcb77ead80f4

[ "MIT" ]

null

import pytest from django.http import HttpRequest from users.authentication import EmailBackend @pytest.mark.integration class TestEmailBackend: @pytest.mark.django_db def test_authenticate_returns_none_when_email_does_not_belong_to_any_user(self, create_user, test_password): request = HttpRequest() backend = EmailBackend() user = create_user() email = user.email + 'some_random_chars' ret_val = backend.authenticate(request, email=email, password=test_password) assert ret_val is None @pytest.mark.django_db def test_authenticate_returns_none_when_password_is_incorrect(self, create_user, test_password): request = HttpRequest() backend = EmailBackend() user = create_user() password = test_password + 'some_random_chars' ret_val = backend.authenticate(request, email=user.email, password=password) assert ret_val is None @pytest.mark.django_db def test_authenticate_returns_none_when_user_is_inactive(self, create_user, test_password): request = HttpRequest() backend = EmailBackend() user = create_user(is_active=False) ret_val = backend.authenticate(request, email=user.email, password=test_password) assert ret_val is None @pytest.mark.django_db def test_authenticate_returns_user_if_both_email_and_password_are_correct_and_user_is_active(self, create_user, test_password): request = HttpRequest() backend = EmailBackend() user = create_user(is_active=True) ret_val = backend.authenticate(request, email=user.email, password=test_password) assert ret_val == user @pytest.mark.django_db def test_get_user_returns_none_if_provided_id_does_not_match_any_users(self, create_user): user = create_user() backend = EmailBackend() ret_val = backend.get_user(user.pk + 1) assert ret_val is None @pytest.mark.django_db def test_get_user_returns_none_if_specified_user_is_inactive(self, create_user): user = create_user(is_active=False) backend = EmailBackend() ret_val = backend.get_user(user.pk) assert ret_val is None @pytest.mark.django_db def test_get_user_returns_specified_user_when_user_is_active(self, create_user): user = create_user(is_active=True) backend = EmailBackend() ret_val = backend.get_user(user.pk) assert ret_val == user

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Python

src/tf_transformers/models/t5/convert.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

116

2021-03-15T09:48:41.000Z

2022-03-24T05:15:51.000Z

src/tf_transformers/models/t5/convert.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

4

2021-03-20T11:20:57.000Z

2022-01-05T04:59:07.000Z

src/tf_transformers/models/t5/convert.py

legacyai/tf-transformers

65a5f9a4bcb3236483daa598a37b91673f56cb97

[ "Apache-2.0" ]

9

2021-03-17T04:14:48.000Z

2021-09-13T07:15:31.000Z

import numpy as np import tensorflow as tf from absl import logging from tf_transformers.core import keras_utils def convert_t5_pt(model, config, model_name): """PT converter Args: model_hf: HuggingFace Model (TF) model: tf_transformers model/layer config: dict Returns: a function """ # When dropout, use_auto_regressive is enabled assertion won't work SKIP_ASSERT = False try: # LegacyLayer local_config = model._config_dict['decoder'] except Exception as e: # LegacyModel local_config = model.model_config['decoder'] if local_config['use_dropout']: logging.warn("Note: As `use_dropout` is True we will skip Assertions, please verify the model.") SKIP_ASSERT = True if local_config['use_auto_regressive']: raise ValueError( "Please save model checkpoint without `use_auto_regressive` and then reload it with `use_auto_regressive`." ) SKIP_ASSERT = True import torch import transformers transformers.logging.set_verbosity_error() from_model_vars = [ "encoder.block.{}.layer.0.SelfAttention.q.weight", "encoder.block.{}.layer.0.SelfAttention.k.weight", "encoder.block.{}.layer.0.SelfAttention.v.weight", "encoder.block.{}.layer.0.SelfAttention.o.weight", "encoder.block.{}.layer.0.layer_norm.weight", "encoder.block.{}.layer.1.DenseReluDense.wi.weight", "encoder.block.{}.layer.1.DenseReluDense.wo.weight", "encoder.block.{}.layer.1.layer_norm.weight", ] to_model_vars = [ "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/query/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/key/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/value/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention_output/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/pre_attention_norm/weight:0", "tf_transformers/t5_encoder/transformer/layer_{}/intermediate/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/output/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention_layer_norm/weight:0", ] # Simple Assertion assert len(from_model_vars) == len(to_model_vars) mapping_dict = {} for index in range(len(from_model_vars)): for i in range(config["num_hidden_layers"]): mapping_dict[from_model_vars[index].format(i)] = to_model_vars[index].format(i) # Only Layer 0 mapping_dict[ "encoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight" ] = "tf_transformers/t5_encoder/transformer/layer_0/self_attention/relative_attention_bias/embeddings:0" # Word Embedding mapping_dict["shared.weight"] = "tf_transformers/t5_encoder/word_embeddings/embeddings:0" # Final Layer Norm weight mapping_dict["encoder.final_layer_norm.weight"] = "tf_transformers/t5_encoder/last_layer_norm/weight:0" # T5Model from transformers import T5Model as PTT5Model model_hf = PTT5Model.from_pretrained(model_name) # HF model variable name to variable values, for fast retrieval from_to_variable_dict = {name: var.detach().numpy() for name, var in model_hf.named_parameters()} tf_transformers_model_index_dict = {} for index, var in enumerate(model.variables): tf_transformers_model_index_dict[var.name] = index # legacy_ai <-- hub assigned_map = [] # assigned_map_values = [] for original_var, legacy_var in mapping_dict.items(): index = tf_transformers_model_index_dict[legacy_var] # If not in mapping_dict, then mostly it is from attention layer if "query/kernel:0" in legacy_var or "key/kernel:0" in legacy_var or "value/kernel:0" in legacy_var: # hub (2D) to tf_transformers (3D) model.variables[index].assign( np.reshape( np.transpose(from_to_variable_dict.get(original_var)), ( config["embedding_size"], config["num_attention_heads"], config["attention_head_size"], ), ) ) assigned_map.append((original_var, legacy_var)) continue elif "kernel:0" in legacy_var: if list(model.variables[index].shape) == list(from_to_variable_dict.get(original_var).shape): model.variables[index].assign(np.transpose(from_to_variable_dict.get(original_var))) assigned_map.append((original_var, legacy_var)) continue else: model.variables[index].assign(np.transpose(from_to_variable_dict.get(original_var))) assigned_map.append((original_var, legacy_var)) continue model.variables[index].assign(from_to_variable_dict.get(original_var)) assigned_map.append((original_var, legacy_var)) # Decoder Side # From vars (Transformer variables) from_model_vars = [ "decoder.block.{}.layer.0.SelfAttention.q.weight", "decoder.block.{}.layer.0.SelfAttention.k.weight", "decoder.block.{}.layer.0.SelfAttention.v.weight", "decoder.block.{}.layer.0.SelfAttention.o.weight", "decoder.block.{}.layer.0.layer_norm.weight", "decoder.block.{}.layer.1.EncDecAttention.q.weight", "decoder.block.{}.layer.1.EncDecAttention.k.weight", "decoder.block.{}.layer.1.EncDecAttention.v.weight", "decoder.block.{}.layer.1.EncDecAttention.o.weight", "decoder.block.{}.layer.1.layer_norm.weight", "decoder.block.{}.layer.2.DenseReluDense.wi.weight", "decoder.block.{}.layer.2.DenseReluDense.wo.weight", "decoder.block.{}.layer.2.layer_norm.weight", ] to_model_vars = [ "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/query/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/key/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/value/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention_output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/pre_attention_norm/weight:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/query/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/key/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/value/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention_output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/pre_cross_attention_norm/weight:0", "tf_transformers/t5_decoder/transformer/layer_{}/intermediate/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention_layer_norm/weight:0", ] # Simple Assertion assert len(from_model_vars) == len(to_model_vars) mapping_dict = {} for index in range(len(from_model_vars)): for i in range(config["num_hidden_layers"]): mapping_dict[from_model_vars[index].format(i)] = to_model_vars[index].format(i) # Only Layer 0 mapping_dict[ "decoder.block.0.layer.0.SelfAttention.relative_attention_bias.weight" ] = "tf_transformers/t5_decoder/transformer/layer_0/self_attention/relative_attention_bias/embeddings:0" # Final Layer Norm weight mapping_dict["decoder.final_layer_norm.weight"] = "tf_transformers/t5_decoder/last_layer_norm/weight:0" # HF model variable name to variable values, for fast retrieval from_to_variable_dict = {name: var.detach().numpy() for name, var in model_hf.named_parameters()} tf_transformers_model_index_dict = {} for index, var in enumerate(model.variables): tf_transformers_model_index_dict[var.name] = index if ( var.name == "tf_transformers/t5_decoder/transformer/layer_0/cross_attention/relative_attention_bias/embeddings:0" ): model.variables[index].assign(tf.zeros_like(model.variables[index])) continue # legacy_ai <-- hub assigned_map = [] # assigned_map_values = [] for original_var, legacy_var in mapping_dict.items(): index = tf_transformers_model_index_dict[legacy_var] # If not in mapping_dict, then mostly it is from attention layer if "query/kernel:0" in legacy_var or "key/kernel:0" in legacy_var or "value/kernel:0" in legacy_var: # hub (2D) to tf_transformers (3D) model.variables[index].assign( np.reshape( np.transpose(from_to_variable_dict.get(original_var)), ( config["embedding_size"], config["num_attention_heads"], config["attention_head_size"], ), ) ) assigned_map.append((original_var, legacy_var)) continue elif "kernel:0" in legacy_var: if list(model.variables[index].shape) == list(from_to_variable_dict.get(original_var).shape): model.variables[index].assign(np.transpose(from_to_variable_dict.get(original_var))) assigned_map.append((original_var, legacy_var)) continue else: model.variables[index].assign(np.transpose(from_to_variable_dict.get(original_var))) assigned_map.append((original_var, legacy_var)) continue model.variables[index].assign(from_to_variable_dict.get(original_var)) assigned_map.append((original_var, legacy_var)) if SKIP_ASSERT is False: from transformers import T5Tokenizer tokenizer = T5Tokenizer.from_pretrained(model_name) text = "This is a long sentence to check how close models are." inputs = tokenizer(text, return_tensors="pt") outputs_hf = model_hf(inputs["input_ids"], decoder_input_ids=inputs["input_ids"]) outputs_hf = torch.sum(outputs_hf["last_hidden_state"], dim=-1).detach().numpy() inputs = tokenizer(text, return_tensors="tf") inputs_tf = {} inputs_tf["encoder_input_ids"] = inputs["input_ids"] inputs_tf["encoder_input_mask"] = inputs["attention_mask"] inputs_tf["decoder_input_ids"] = inputs["input_ids"] outputs_tf = model(inputs_tf) outputs_tf = tf.reduce_sum(outputs_tf["token_embeddings"], axis=-1).numpy() tf.debugging.assert_near(outputs_hf, outputs_tf, rtol=1.0) def convert_t5_tf(model, config, model_name): """TF converter Args: model_hf: HuggingFace Model (TF) model: tf_transformers model/layer config: dict Returns: a function """ # When dropout, use_auto_regressive is enabled assertion won't work SKIP_ASSERT = False try: # LegacyLayer local_config = model._config_dict['decoder'] except Exception as e: # LegacyModel local_config = model.model_config['decoder'] if local_config['use_dropout']: logging.warn("Note: As `use_dropout` is True we will skip Assertions, please verify the model.") SKIP_ASSERT = True if local_config['use_auto_regressive']: raise ValueError( "Please save model checkpoint without `use_auto_regressive` and then reload it with `use_auto_regressive`." ) SKIP_ASSERT = True import transformers transformers.logging.set_verbosity_error() from_model_vars = [ "tf_t5model/encoder/block_._{}/layer_._0/SelfAttention/q/kernel:0", "tf_t5model/encoder/block_._{}/layer_._0/SelfAttention/k/kernel:0", "tf_t5model/encoder/block_._{}/layer_._0/SelfAttention/v/kernel:0", "tf_t5model/encoder/block_._{}/layer_._0/SelfAttention/o/kernel:0", "tf_t5model/encoder/block_._{}/layer_._0/layer_norm/weight:0", "tf_t5model/encoder/block_._{}/layer_._1/DenseReluDense/wi/kernel:0", "tf_t5model/encoder/block_._{}/layer_._1/DenseReluDense/wo/kernel:0", "tf_t5model/encoder/block_._{}/layer_._1/layer_norm/weight:0", ] to_model_vars = [ "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/query/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/key/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention/value/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention_output/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/pre_attention_norm/weight:0", "tf_transformers/t5_encoder/transformer/layer_{}/intermediate/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/output/kernel:0", "tf_transformers/t5_encoder/transformer/layer_{}/self_attention_layer_norm/weight:0", ] # Simple Assertion assert len(from_model_vars) == len(to_model_vars) mapping_dict = {} for index in range(len(from_model_vars)): for i in range(config["num_hidden_layers"]): mapping_dict[from_model_vars[index].format(i)] = to_model_vars[index].format(i) # Only Layer 0 mapping_dict[ "tf_t5model/encoder/block_._0/layer_._0/SelfAttention/relative_attention_bias/embeddings:0" ] = "tf_transformers/t5_encoder/transformer/layer_0/self_attention/relative_attention_bias/embeddings:0" # Word Embedding mapping_dict["shared/shared/weight:0"] = "tf_transformers/t5_encoder/word_embeddings/embeddings:0" # Final Layer Norm weight mapping_dict["tf_t5model/encoder/final_layer_norm/weight:0"] = "tf_transformers/t5_encoder/last_layer_norm/weight:0" # T5Model from transformers import TFT5Model model_hf = TFT5Model.from_pretrained(model_name) from_to_variable_dict = {var.name: var for var in model_hf.variables} tf_transformers_model_index_dict = {} for index, var in enumerate(model.variables): tf_transformers_model_index_dict[var.name] = index # legacy_ai <-- hub assigned_map = [] # assigned_map_values = [] for original_var, legacy_var in mapping_dict.items(): index = tf_transformers_model_index_dict[legacy_var] # If not in mapping_dict, then mostly it is from attention layer if "query/kernel:0" in legacy_var or "key/kernel:0" in legacy_var or "value/kernel:0" in legacy_var: # hub (2D) to tf_transformers (3D) model.variables[index].assign( tf.reshape( from_to_variable_dict.get(original_var), ( config["embedding_size"], config["num_attention_heads"], config["attention_head_size"], ), ) ) assigned_map.append((original_var, legacy_var)) continue model.variables[index].assign(from_to_variable_dict.get(original_var)) assigned_map.append((original_var, legacy_var)) # Decoder Side # From vars (Transformer variables) from_model_vars = [ "tf_t5model/decoder/block_._{}/layer_._0/SelfAttention/q/kernel:0", "tf_t5model/decoder/block_._{}/layer_._0/SelfAttention/k/kernel:0", "tf_t5model/decoder/block_._{}/layer_._0/SelfAttention/v/kernel:0", "tf_t5model/decoder/block_._{}/layer_._0/SelfAttention/o/kernel:0", "tf_t5model/decoder/block_._{}/layer_._0/layer_norm/weight:0", "tf_t5model/decoder/block_._{}/layer_._1/EncDecAttention/q/kernel:0", "tf_t5model/decoder/block_._{}/layer_._1/EncDecAttention/k/kernel:0", "tf_t5model/decoder/block_._{}/layer_._1/EncDecAttention/v/kernel:0", "tf_t5model/decoder/block_._{}/layer_._1/EncDecAttention/o/kernel:0", "tf_t5model/decoder/block_._{}/layer_._1/layer_norm/weight:0", "tf_t5model/decoder/block_._{}/layer_._2/DenseReluDense/wi/kernel:0", "tf_t5model/decoder/block_._{}/layer_._2/DenseReluDense/wo/kernel:0", "tf_t5model/decoder/block_._{}/layer_._2/layer_norm/weight:0", ] to_model_vars = [ "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/query/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/key/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention/value/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention_output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/pre_attention_norm/weight:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/query/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/key/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention/value/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/cross_attention_output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/pre_cross_attention_norm/weight:0", "tf_transformers/t5_decoder/transformer/layer_{}/intermediate/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/output/kernel:0", "tf_transformers/t5_decoder/transformer/layer_{}/self_attention_layer_norm/weight:0", ] # Simple Assertion assert len(from_model_vars) == len(to_model_vars) mapping_dict = {} for index in range(len(from_model_vars)): for i in range(config["num_hidden_layers"]): mapping_dict[from_model_vars[index].format(i)] = to_model_vars[index].format(i) # Only Layer 0 mapping_dict[ "tf_t5model/decoder/block_._0/layer_._0/SelfAttention/relative_attention_bias/embeddings:0" ] = "tf_transformers/t5_decoder/transformer/layer_0/self_attention/relative_attention_bias/embeddings:0" mapping_dict[ "tf_t5model/decoder/block_._0/layer_._1/EncDecAttention/relative_attention_bias/embeddings:0" ] = "tf_transformers/t5_decoder/transformer/layer_0/cross_attention/relative_attention_bias/embeddings:0" # Final Layer Norm weight mapping_dict["tf_t5model/decoder/final_layer_norm/weight:0"] = "tf_transformers/t5_decoder/last_layer_norm/weight:0" from_to_variable_dict = {var.name: var for var in model_hf.variables} tf_transformers_model_index_dict = {} for index, var in enumerate(model.variables): tf_transformers_model_index_dict[var.name] = index # legacy_ai <-- hub assigned_map = [] # assigned_map_values = [] for original_var, legacy_var in mapping_dict.items(): index = tf_transformers_model_index_dict[legacy_var] # If not in mapping_dict, then mostly it is from attention layer if "query/kernel:0" in legacy_var or "key/kernel:0" in legacy_var or "value/kernel:0" in legacy_var: # hub (2D) to tf_transformers (3D) model.variables[index].assign( tf.reshape( from_to_variable_dict.get(original_var), ( config["embedding_size"], config["num_attention_heads"], config["attention_head_size"], ), ) ) assigned_map.append((original_var, legacy_var)) continue if ( original_var == "tf_t5model/decoder/block_._0/layer_._1/EncDecAttention/relative_attention_bias/embeddings:0" ): if original_var not in from_to_variable_dict: model.variables[index].assign(tf.zeros_like(model.variables[index])) assigned_map.append((original_var, legacy_var)) continue model.variables[index].assign(from_to_variable_dict.get(original_var)) assigned_map.append((original_var, legacy_var)) if SKIP_ASSERT is False: from transformers import T5Tokenizer tokenizer = T5Tokenizer.from_pretrained(model_name) text = "This is a long sentence to check how close models are." inputs = tokenizer(text, return_tensors="tf") outputs_hf = model_hf(inputs["input_ids"], decoder_input_ids=inputs["input_ids"]) outputs_hf = tf.reduce_sum(outputs_hf["last_hidden_state"], axis=-1).numpy() inputs_tf = {} inputs_tf["encoder_input_ids"] = inputs["input_ids"] inputs_tf["encoder_input_mask"] = inputs["attention_mask"] inputs_tf["decoder_input_ids"] = inputs["input_ids"] outputs_tf = model(inputs_tf) outputs_tf = tf.reduce_sum(outputs_tf["token_embeddings"], axis=-1).numpy() if keras_utils.get_policy_name() == 'float32': tf.debugging.assert_near(outputs_hf, outputs_tf, rtol=1.0)

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7

97f49d5c7e6cd996f56f9673f760ded621c3606f

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Python

models.py

LucasCTN/Pupil-locator

981c900c5d06aa783406b6c24ee0e8ee140195f1

[ "MIT" ]

32

2019-03-15T12:13:31.000Z

2022-03-24T03:30:32.000Z

models.py

LucasCTN/Pupil-locator

981c900c5d06aa783406b6c24ee0e8ee140195f1

[ "MIT" ]

3

2020-05-14T04:48:06.000Z

2022-02-10T01:18:38.000Z

models.py

LucasCTN/Pupil-locator

981c900c5d06aa783406b6c24ee0e8ee140195f1

[ "MIT" ]

14

2019-04-09T02:36:45.000Z

2022-03-24T03:27:11.000Z

import tensorflow import tensorflow.compat.v1 as tf import tensorflow_hub as hub from base_model import BaseModel tf.disable_v2_behavior() class Simple(object): """ Convolution model: """ def __init__(self, model_name, cfg, logger): super(Simple, self).__init__(model_name, cfg, logger) self.logger.log("building the model...") self.init_placeholders() self.init_forward() self.init_optimizer() self.summary_op = tf.summary.merge_all() def init_forward(self): cnn_input = self.X xavi = tensorflow.initializers.GlorotUniform(), assert len(self.cfg["filter_sizes"]) == len(self.cfg["n_filters"]) for i in range(len(self.cfg["filter_sizes"])): cnn_input = tf.nn.dropout(cnn_input, self.keep_prob) cnn_input = tf.layers.conv2d(cnn_input, filters=self.cfg["n_filters"][i], kernel_size=self.cfg["filter_sizes"][i], padding='same', activation=tf.nn.leaky_relu, kernel_initializer=xavi) cnn_input = tf.layers.batch_normalization(cnn_input, training=self.train_flag, momentum=0.99, epsilon=0.001, center=True, scale=True) if self.cfg["max_pool"][i] == 1: cnn_input = tf.layers.max_pooling2d(cnn_input, pool_size=2, strides=2) # print what happen to layers! :) self.logger.log("layer {} conv2d: {}".format(i, cnn_input.get_shape())) # Define fully connected layer # First we need to reshape cnn output to [batch_size, -1] a = tf.contrib.layers.flatten(cnn_input) h_prev = a.get_shape().as_list()[1] for i, h in enumerate(self.cfg["fc_layers"]): # by using fully_connected, tf will take care of X*W+b with tf.name_scope("fc_layer" + str(i)): with tf.name_scope("weight_" + str(i)): initial_value = tf.truncated_normal([h_prev, h], stddev=0.001) w = tf.Variable(initial_value, name="fc_w_" + str(i)) self.variable_summaries(w) with tf.name_scope("bias_" + str(i)): b = tf.Variable(tf.zeros([h]), name='fc_b_' + str(i)) self.variable_summaries(b) with tf.name_scope("Wx_plus_b_" + str(i)): z = tf.matmul(a, w) + b with tf.name_scope("L_ReLu_" + str(i)): a = tf.nn.leaky_relu(z) h_prev = h # fc_input = tf.contrib.layers.fully_connected(fc_input, h, activation_fn=tf.nn.leaky_relu) # use batch normalization. With batch normalization we can get 1% better results # fc_input = tf.layers.batch_normalization(fc_input, training=(self.mode == "train")) # use dropout # fc_input = tf.nn.dropout(fc_input, keep_prob=self.keep_prob) # show fully connected layers shape self.logger.log("layer {} fully connected: {}".format(i, a.get_shape())) self.logits = tf.contrib.layers.fully_connected(a, self.cfg["output_dim"], activation_fn=None) # self.logits = tf.reshape(cnn_input, shape=(-1, self.cfg["output_dim"])) self.loss = tf.losses.mean_squared_error(self.Y, self.logits, weights=[self.cfg["output_weights"][0:self.cfg["output_dim"]]]) # Training summary for the current batch_loss tf.summary.scalar('loss', self.loss) # YOLO implementation # https://github.com/WojciechMormul/yolo2/blob/master/train.py class YOLO(BaseModel): """ Convolution model: Yolo """ def __init__(self, model_name, cfg, logger): super(YOLO, self).__init__(model_name, cfg, logger) self.logger.log("building the model...") self.init_placeholders() self.init_forward() self.init_optimizer() self.summary_op = tf.summary.merge_all() def maxpool_layer(self, x, size, stride, name): with tf.name_scope(name): x = tf.layers.max_pooling2d(x, size, stride, padding='SAME') return x def conv_layer(self, x, kernel, depth, train_logical, name): with tf.variable_scope(name): # x = tf.nn.dropout(x, keep_prob=self.keep_prob) x = tf.layers.conv2d(x, depth, kernel, padding='SAME', use_bias=False, kernel_initializer=tensorflow.initializers.GlorotUniform(), kernel_regularizer=tf.keras.regularizers.l2(self.cfg["l2_beta"])) x = tf.layers.batch_normalization(x, training=train_logical) x = tf.nn.leaky_relu(x, alpha=0.1, name="ReLu") return x def passthrough_layer(self, a, b, kernel, depth, size, train_logical, name): b = self.conv_layer(b, kernel, depth, train_logical, name) b = tf.space_to_depth(b, size) y = tf.concat([a, b], axis=3) return y def init_forward(self): x = self.X self.logger.log("input shape: {}".format(x.get_shape())) i = 1 # block 1 x = self.conv_layer(x, (3, 3), i * 16, self.train_flag, 'conv1') self.logger.log("conv {}: {}".format(1, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool1') self.logger.log("maxpool {}: {}".format(1, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 32, self.train_flag, 'conv2') self.logger.log("conv {}: {}".format(1, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool2') self.logger.log("maxpool {}: {}".format(2, x.get_shape())) # block 2 x = self.conv_layer(x, (3, 3), i * 64, self.train_flag, 'conv3') self.logger.log("conv {}: {}".format(3, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 32, self.train_flag, 'conv4') self.logger.log("conv {}: {}".format(4, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 64, self.train_flag, 'conv5') self.logger.log("conv {}: {}".format(5, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool5') self.logger.log("maxpool {}: {}".format(5, x.get_shape())) # block 3 x = self.conv_layer(x, (3, 3), i * 128, self.train_flag, 'conv6') self.logger.log("conv {}: {}".format(6, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 64, self.train_flag, 'conv7') self.logger.log("conv {}: {}".format(7, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 128, self.train_flag, 'conv8') self.logger.log("conv {}: {}".format(8, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool8') self.logger.log("maxpool {}: {}".format(8, x.get_shape())) # block 4 x = self.conv_layer(x, (3, 3), i * 256, self.train_flag, 'conv9') self.logger.log("conv {}: {}".format(9, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 128, self.train_flag, 'conv10') self.logger.log("conv {}: {}".format(10, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 256, self.train_flag, 'conv11') self.logger.log("conv {}: {}".format(11, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 128, self.train_flag, 'conv12') self.logger.log("conv {}: {}".format(12, x.get_shape())) passthrough = self.conv_layer(x, (3, 3), i * 256, self.train_flag, 'conv13') self.logger.log("conv {}: {}".format(13, x.get_shape())) x = self.maxpool_layer(passthrough, (2, 2), (2, 2), 'maxpool13') self.logger.log("maxpool {}: {}".format(13, x.get_shape())) # block 5 x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv14') self.logger.log("conv {}: {}".format(14, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 256, self.train_flag, 'conv15') self.logger.log("conv {}: {}".format(15, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv16') self.logger.log("conv {}: {}".format(16, x.get_shape())) x = self.conv_layer(x, (1, 1), i * 256, self.train_flag, 'conv17') self.logger.log("conv {}: {}".format(17, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv18') self.logger.log("conv {}: {}".format(18, x.get_shape())) # block 6 x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv19') self.logger.log("conv {}: {}".format(19, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv20') self.logger.log("conv {}: {}".format(20, x.get_shape())) x = self.passthrough_layer(x, passthrough, (3, 3), i * 32, 2, self.train_flag, 'conv21') self.logger.log("conv {}: {}".format(21, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv22') self.logger.log("conv {}: {}".format(22, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool22') self.logger.log("maxpool {}: {}".format(22, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv23') self.logger.log("conv {}: {}".format(23, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool23') self.logger.log("maxpool {}: {}".format(23, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv24') self.logger.log("conv {}: {}".format(24, x.get_shape())) x = self.maxpool_layer(x, (2, 2), (2, 2), 'maxpool24') self.logger.log("maxpool {}: {}".format(24, x.get_shape())) x = self.conv_layer(x, (3, 3), i * 512, self.train_flag, 'conv26') self.logger.log("conv {}: {}".format(26, x.get_shape())) # Final layer # x = self.conv_layer(x, (1, 1), self.cfg["output_dim"], self.train_flag, 'conv27') x = tf.layers.conv2d(x, self.cfg["output_dim"], (1, 1), padding='SAME', use_bias=False, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv27") x = tf.nn.leaky_relu(x, alpha=0.1, name="ReLu") self.logger.log("conv {}: {}".format("Logits", x.get_shape())) # Logits self.logits = tf.reshape(x, shape=(-1, self.cfg["output_dim"]), name='y') self.loss = tf.losses.mean_squared_error(self.Y, self.logits, weights=[self.cfg["output_weights"][0:self.cfg["output_dim"]]]) class NASNET(BaseModel): """ Convolution model: """ def __init__(self, model_name, cfg, logger): super(NASNET, self).__init__(model_name, cfg, logger) self.logger.log("building the model...") self.init_placeholders() self.init_forward() self.init_optimizer() self.summary_op = tf.summary.merge_all() def maxpool_layer(self, x, size, stride, name): with tf.name_scope(name): x = tf.layers.max_pooling2d(x, size, stride, padding='SAME') return x def conv_layer(self, x, kernel, depth, train_logical, name): with tf.variable_scope(name): # x = tf.nn.dropout(x, keep_prob=self.keep_prob) x = tf.layers.conv2d(x, depth, kernel, padding='SAME', use_bias=False, kernel_initializer=tensorflow.initializers.GlorotUniform(), kernel_regularizer=tf.keras.regularizers.l2(self.cfg["l2_beta"])) x = tf.layers.batch_normalization(x, training=train_logical) x = tf.nn.leaky_relu(x, alpha=0.1, name="ReLu") return x def init_forward(self): module = hub.Module("https://tfhub.dev/google/imagenet/mobilenet_v2_100_192/feature_vector/1", trainable=True, name="NASNET") module.ModuleSpec.get_tags() a = module(self.X) h_prev = a.get_shape().as_list()[1] layers = [512, 128] for i, h in enumerate(layers): # by using fully_connected, tf will take care of X*W+b with tf.name_scope("fc_layer" + str(i)): with tf.name_scope("weight_" + str(i)): initial_value = tf.truncated_normal([h_prev, h], stddev=0.001) w = tf.Variable(initial_value, name="fc_w_" + str(i)) tf.add_to_collection(tf.GraphKeys.REGULARIZATION_LOSSES, w) self.variable_summaries(w) with tf.name_scope("bias_" + str(i)): b = tf.Variable(tf.zeros([h]), name='fc_b_' + str(i)) self.variable_summaries(b) with tf.name_scope("Wx_plus_b_" + str(i)): z = tf.matmul(a, w) + b with tf.name_scope("Batch_norm_" + str(i)): z_bn = tf.layers.batch_normalization(z, training=self.train_flag) with tf.name_scope("L_ReLu_" + str(i)): a = tf.nn.leaky_relu(z_bn) h_prev = h self.logger.log("layer {} fully connected: {}".format(i, a.get_shape())) self.logits = tf.contrib.layers.fully_connected(a, self.cfg["output_dim"], activation_fn=None) self.loss = tf.losses.mean_squared_error(self.Y, self.logits) # Training summary for the current batch_loss tf.summary.scalar('loss', self.loss) class Inception(BaseModel): """ Google inception model """ def __init__(self, model_name, cfg, logger): super(Inception, self).__init__(model_name, cfg, logger) self.m = 0.5 self.l2_reg = tf.keras.regularizers.l2(cfg["l2_beta"]) self.logger.log("building the model...") self.init_placeholders() self.init_forward() self.init_optimizer() self.summary_op = tf.summary.merge_all() def bn_lrelu(self, x, train_logical): x = tf.layers.batch_normalization(x, training=train_logical, momentum=0.9997, scale=True, center=True) x = tf.nn.leaky_relu(x, alpha=0.17) return x # Inception Block A def block_a(self, net, name_scope, is_training): with tf.variable_scope(name_or_scope=name_scope, default_name="Inception_block_A"): # Branch 0, 1x1 with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=96 * self.m, kernel_size=(1, 1), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_0a_1x1") branch_0 = self.bn_lrelu(branch_0, is_training) # Branch 1: 1x1 + 3x3 with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=64 * self.m, kernel_size=(1, 1), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1a_1x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=96 * self.m, kernel_size=(3, 3), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1b_3x3") branch_1 = self.bn_lrelu(branch_1, is_training) # Branch 2: 1x1 + 3x3 + 3x3 with tf.variable_scope("branch_2"): branch_2 = tf.layers.conv2d(inputs=net, filters=64 * self.m, kernel_size=(1, 1), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2a_1x1") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=96 * self.m, kernel_size=(3, 3), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2b_3x3") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=96 * self.m, kernel_size=(3, 3), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2c_3x3") branch_2 = self.bn_lrelu(branch_2, is_training) # Branch 3: AvgPool + 1x1 with tf.variable_scope("branch_3"): branch_3 = tf.layers.average_pooling2d(inputs=net, pool_size=(3, 3), strides=(1, 1), padding='SAME', name="AvgPool_3a_3x3") branch_3 = tf.layers.conv2d(inputs=branch_3, filters=96 * self.m, kernel_size=(1, 1), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_3b_1x1") branch_3 = self.bn_lrelu(branch_3, is_training) return tf.concat([branch_0, branch_1, branch_2, branch_3], axis=3) # Reduction block A def block_a_reduction(self, net, name_scope, is_training): with tf.variable_scope(name_or_scope=name_scope, default_name="Reduction_block_A"): # Branch 0, 3x3(V2) with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=384 * self.m, kernel_size=(3, 3), strides=(2, 2), padding='VALID', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_0a_3x3V2") branch_0 = self.bn_lrelu(branch_0, is_training) # Branch 1: 1x1 + 3x3 + 3x3V2 with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=192 * self.m, kernel_size=(1, 1), strides=(1, 1), padding='SAME', kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1a_1x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=224 * self.m, kernel_size=(3, 3), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2_1b_3x3") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=256 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2_1c_3x3V2") branch_1 = self.bn_lrelu(branch_1, is_training) # Branch 2: MaxPool(3x3) with tf.variable_scope("branch_3"): branch_2 = tf.layers.max_pooling2d(inputs=net, pool_size=(3, 3), strides=(2, 2), padding='VALID', name="MaxPool_2a_3x3V2") return tf.concat([branch_0, branch_1, branch_2], axis=3) # Inception Block B def block_b(self, net, name_scope, is_training): with tf.variable_scope(name_or_scope=name_scope, default_name="Inception_block_B"): # Branch 0: 1x1 with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=384 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_1x1") branch_0 = self.bn_lrelu(branch_0, is_training) # branch 1: 1x1 + 1x7 + 7x1 with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=192 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_1a_1x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=224 * self.m, kernel_size=(1, 7), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_1b_1x7") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=256 * self.m, kernel_size=(7, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_1c_7x1") branch_1 = self.bn_lrelu(branch_1, is_training) # branch 2: 1x1 + 1x7 + 7x1 + 1x7 + 7x1 with tf.variable_scope("branch_2"): branch_2 = tf.layers.conv2d(inputs=net, filters=192 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2_2a_1x1") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=192 * self.m, kernel_size=(1, 7), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_2b_1x7") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=224 * self.m, kernel_size=(7, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_2c_7x1") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=224 * self.m, kernel_size=(1, 7), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_2d_1x7") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=256 * self.m, kernel_size=(7, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_2e_7x1") branch_2 = self.bn_lrelu(branch_2, is_training) # Branch 3: AvgPool + 1x1 with tf.variable_scope("branch_3"): branch_3 = tf.layers.average_pooling2d(inputs=net, pool_size=(3, 3), strides=(1, 1), padding="SAME", name="AvgPool_3a_3x3") branch_3 = tf.layers.conv2d(inputs=branch_3, filters=128 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_3b_1x1") branch_3 = self.bn_lrelu(branch_3, is_training) return tf.concat([branch_0, branch_1, branch_2, branch_3], axis=3) # Reduction block B def block_b_reduction(self, net, name_scope, is_training): with tf.variable_scope(name_or_scope=name_scope, default_name="Reduction_block_B"): # Branch 0: 1x1 + 3x3(V,2) with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=192 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_0a_1x1") branch_0 = self.bn_lrelu(branch_0, is_training) branch_0 = tf.layers.conv2d(inputs=branch_0, filters=192 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_0b_3x3V2") branch_0 = self.bn_lrelu(branch_0, is_training) # Branch 1: 1x1 + 1x7 + 7x1 + 3x3(V,2) with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=256 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_1a_1x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=256 * self.m, kernel_size=(1, 7), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1b_1x7") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=320 * self.m, kernel_size=(7, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1c_7x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=320 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_1d_3x3V2") branch_1 = self.bn_lrelu(branch_1, is_training) # Branch 2: MaxPool 3x3 (V,2) with tf.variable_scope("branch_2"): branch_2 = tf.layers.max_pooling2d(inputs=net, pool_size=(3, 3), strides=(2, 2), padding="VALID", name="MaxPool_2a_3x3V2") return tf.concat([branch_0, branch_1, branch_2], axis=3) # Inception Block C def block_c(self, net, name_scope, is_training): with tf.variable_scope(name_or_scope=name_scope, default_name="Inception_Block_C"): # Branch 0: 1x1 with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=256 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_1x1") branch_0 = self.bn_lrelu(branch_0, is_training) # Branch 1: 1x1 {1x3, 3x1} with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=384 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1a_1x1") branch_1 = self.bn_lrelu(branch_1, is_training) branch_1a = tf.layers.conv2d(inputs=branch_1, filters=256 * self.m, kernel_size=(1, 3), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1b0_1x3") branch_1a = self.bn_lrelu(branch_1a, is_training) branch_1b = tf.layers.conv2d(inputs=branch_1, filters=256 * self.m, kernel_size=(3, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_1b1_3x1") branch_1b = self.bn_lrelu(branch_1b, is_training) branch_1 = tf.concat([branch_1a, branch_1b], axis=3) # Branch 2: 1x1, 3x1, 1x3 {3x1, 1x3} with tf.variable_scope("branch_2"): branch_2 = tf.layers.conv2d(inputs=net, filters=384 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2a_1x1") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=448 * self.m, kernel_size=(1, 3), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2b_1x3") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2 = tf.layers.conv2d(inputs=branch_2, filters=512 * self.m, kernel_size=(3, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2c_3x1") branch_2 = self.bn_lrelu(branch_2, is_training) branch_2a = tf.layers.conv2d(inputs=branch_2, filters=256 * self.m, kernel_size=(1, 3), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2d0_1x3") branch_2a = self.bn_lrelu(branch_2a, is_training) branch_2b = tf.layers.conv2d(inputs=branch_2, filters=256 * self.m, kernel_size=(3, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_2d1_3x1") branch_2b = self.bn_lrelu(branch_2b, is_training) branch_2 = tf.concat([branch_2a, branch_2b], axis=3) # Branch 3: AvgPool, 1x1 with tf.variable_scope("branch_3"): branch_3 = tf.layers.average_pooling2d(inputs=net, pool_size=(3, 3), strides=(1, 1), padding="SAME", name="AvgPool_3a_3x3") branch_3 = tf.layers.conv2d(inputs=branch_3, filters=256 * self.m, kernel_size=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_3b_1x1") branch_3 = self.bn_lrelu(branch_3, is_training) return tf.concat([branch_0, branch_1, branch_2, branch_3], axis=3) def init_forward(self): # make the stem net = self.X self.logger.log("net shape {}".format(net.get_shape())) # Begin Inception Model with tf.variable_scope(name_or_scope="InceptionV4"): net = tf.layers.conv2d(inputs=net, filters=32 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_stem0_3x3V2") net = self.bn_lrelu(net, self.train_flag) self.logger.log("stem0 shape {}".format(net.get_shape())) net = tf.layers.conv2d(inputs=net, filters=32 * self.m, kernel_size=(3, 3), strides=(1, 1), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="conv2d_stem1_3x3V1") net = self.bn_lrelu(net, self.train_flag) self.logger.log("stem1 shape {}".format(net.get_shape())) net = tf.layers.conv2d(inputs=net, filters=64 * self.m, kernel_size=(3, 3), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_stem2_3x3") net = self.bn_lrelu(net, self.train_flag) self.logger.log("stem2 shape {}".format(net.get_shape())) with tf.variable_scope("Mixed_3a"): with tf.variable_scope("branch_0"): net_a = tf.layers.conv2d(inputs=net, filters=96 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_3x3s2") net_a = self.bn_lrelu(net_a, self.train_flag) with tf.variable_scope("branch_1"): net_b = tf.layers.max_pooling2d(inputs=net, pool_size=(3, 3), strides=(2, 2), padding="VALID", name="MaxPool_1a_3x3s2") net = tf.concat([net_a, net_b], axis=3) self.logger.log("Mixed_3a shape {}".format(net.get_shape())) with tf.variable_scope("mixed_4a"): # Branch 0: 1x1, 7x1, 1x7, 3x3v with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=64 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_3x3") branch_0 = self.bn_lrelu(branch_0, self.train_flag) branch_0 = tf.layers.conv2d(inputs=branch_0, filters=64 * self.m, kernel_size=(7, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0b_7x1") branch_0 = self.bn_lrelu(branch_0, self.train_flag) branch_0 = tf.layers.conv2d(inputs=branch_0, filters=64 * self.m, kernel_size=(1, 7), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0c_1x7") branch_0 = self.bn_lrelu(branch_0, self.train_flag) branch_0 = tf.layers.conv2d(inputs=branch_0, filters=96 * self.m, kernel_size=(3, 3), strides=(1, 1), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0d_3x3V") branch_0 = self.bn_lrelu(branch_0, self.train_flag) # Branch 1: 1x1, 3x3v with tf.variable_scope("branch_1"): branch_1 = tf.layers.conv2d(inputs=net, filters=64 * self.m, kernel_size=(1, 1), strides=(1, 1), padding="SAME", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_3x3") branch_1 = self.bn_lrelu(branch_1, self.train_flag) branch_1 = tf.layers.conv2d(inputs=branch_1, filters=96 * self.m, kernel_size=(3, 3), strides=(1, 1), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0b_3x3V") branch_1 = self.bn_lrelu(branch_1, self.train_flag) net = tf.concat([branch_0, branch_1], axis=3) self.logger.log("mixed_4a shape {}".format(net.get_shape())) with tf.variable_scope("Mixed_5a"): # Branch 0: 3x3 with tf.variable_scope("branch_0"): branch_0 = tf.layers.conv2d(inputs=net, filters=192 * self.m, kernel_size=(3, 3), strides=(2, 2), padding="VALID", kernel_regularizer=self.l2_reg, kernel_initializer=tensorflow.initializers.GlorotUniform(), name="Conv2d_0a_3x3v") branch_0 = self.bn_lrelu(branch_0, self.train_flag) # Branch 1: MaxPool 3x3s2 with tf.variable_scope("branch_1"): branch_1 = tf.layers.max_pooling2d(inputs=net, pool_size=(3, 3), strides=(2, 2), padding="VALID", name="MaxPool_0a_3x3s2") net = tf.concat([branch_0, branch_1], axis=3) self.logger.log("Mixed_5a shape {}".format(net.get_shape())) # Block A: 3x net = self.block_a(net, "Block_A0", self.train_flag) self.logger.log("Block_A0 shape {}".format(net.get_shape())) net = self.block_a(net, "Block_A1", self.train_flag) self.logger.log("Block_A1 shape {}".format(net.get_shape())) net = self.block_a(net, "Block_A2", self.train_flag) self.logger.log("Block_A2 shape {}".format(net.get_shape())) # Block A: Reduction net = self.block_a_reduction(net, "Reduction_A", self.train_flag) self.logger.log("Reduction_A shape {}".format(net.get_shape())) # Block B: 4x net = self.block_b(net, "Block_B0", self.train_flag) self.logger.log("Block_B0 shape {}".format(net.get_shape())) net = self.block_b(net, "Block_B1", self.train_flag) self.logger.log("Block_B1 shape {}".format(net.get_shape())) net = self.block_b(net, "Block_B2", self.train_flag) self.logger.log("Block_B2 shape {}".format(net.get_shape())) net = self.block_b(net, "Block_B3", self.train_flag) self.logger.log("Block_B3 shape {}".format(net.get_shape())) # # Block B reducttion # net = self.block_b_reduction(net, "Reduction_B", self.train_flag) # self.logger.log("Reduction_B shape {}".format(net.get_shape())) # # # Block C: 4x # net = self.block_c(net, "Block_C0", self.train_flag) # self.logger.log("Block_C0 shape {}".format(net.get_shape())) # # net = self.block_c(net, "Block_C1", self.train_flag) # self.logger.log("Block_C1 shape {}".format(net.get_shape())) # # net = self.block_c(net, "Block_C2", self.train_flag) # self.logger.log("Block_C1 shape {}".format(net.get_shape())) # # net = self.block_c(net, "Block_C3", self.train_flag) # self.logger.log("Block_C1 shape {}".format(net.get_shape())) net = tf.nn.dropout(net, self.keep_prob, name="net_dropout") self.GAP = tf.reduce_mean(net, axis=[1, 2], name="GAP") self.logger.log("GAP shape {}".format(self.GAP.get_shape())) # Final layer units = self.GAP.get_shape().as_list()[1] net = tf.reshape(self.GAP, (-1, 1, 1, units), name="reshaping") net = tf.layers.conv2d(net, self.cfg["output_dim"], (1, 1), padding='VALID', kernel_initializer=tensorflow.initializers.GlorotUniform(), kernel_regularizer=self.l2_reg, use_bias=False, name="final_conv") net = tf.nn.relu(net, name="logits_relu") self.logger.log("Final layer {}: {}".format("Logits", net.get_shape())) # Logits self.logits = tf.reshape(net, shape=(-1, self.cfg["output_dim"]), name='y') self.loss = tf.losses.huber_loss(labels=self.Y, predictions=self.logits, weights=[self.cfg["output_weights"][0:self.cfg["output_dim"]]], delta=1.0) # Training summary for the current batch_loss tf.summary.scalar('loss', self.loss) class GAP(object): """ Convolution model: """ def __init__(self, model_name, cfg, logger): super(GAP, self).__init__(model_name, cfg, logger) self.logger.log("building the model...") self.init_placeholders() self.init_forward() self.init_optimizer() self.summary_op = tf.summary.merge_all() def init_forward(self): k = 4 cnn_input = self.X assert len(self.cfg["filter_sizes"]) == len(self.cfg["n_filters"]) for i in range(len(self.cfg["filter_sizes"])): # cnn_input = tf.nn.dropout(cnn_input, self.keep_prob) cnn_input = tf.layers.conv2d(cnn_input, filters=self.cfg["n_filters"][i] * k, kernel_size=self.cfg["filter_sizes"][i], padding='same', activation=tf.nn.leaky_relu, kernel_initializer=tensorflow.initializers.GlorotUniform(), kernel_regularizer=tf.keras.regularizers.l2(self.cfg["l2_beta"])) cnn_input = tf.layers.batch_normalization(cnn_input, training=self.train_flag) # print what happen to layers! :) self.logger.log("layer {} conv2d: {}".format(i, cnn_input.get_shape())) if self.cfg["max_pool"][i] == 1: cnn_input = tf.layers.max_pooling2d(cnn_input, pool_size=2, strides=2) # print what happen to layers! :) self.logger.log("layer {} MaxPool: {}".format(i, cnn_input.get_shape())) _, w, h, _ = cnn_input.get_shape() cnn_input = tf.layers.average_pooling2d(cnn_input, (w, h), strides=1) self.logger.log("layer {} AvgPool: {}".format(i, cnn_input.get_shape())) # Define fully connected layer # First we need to reshape cnn output to [batch_size, -1] a = tf.contrib.layers.flatten(cnn_input) h_prev = a.get_shape().as_list()[1] for i, h in enumerate(self.cfg["fc_layers"]): # by using fully_connected, tf will take care of X*W+b with tf.name_scope("fc_layer" + str(i)): with tf.name_scope("weight_" + str(i)): initial_value = tf.truncated_normal([h_prev, h], stddev=0.001) w = tf.Variable(initial_value, name="fc_w_" + str(i)) tf.add_to_collection(tf.GraphKeys.REGULARIZATION_LOSSES, w) self.variable_summaries(w) with tf.name_scope("bias_" + str(i)): b = tf.Variable(tf.zeros([h]), name='fc_b_' + str(i)) self.variable_summaries(b) with tf.name_scope("Wx_plus_b_" + str(i)): z = tf.matmul(a, w) + b with tf.name_scope("L_ReLu_" + str(i)): a = tf.nn.leaky_relu(z) h_prev = h # show fully connected layers shape self.logger.log("layer {} fully connected: {}".format(i, a.get_shape())) self.logits = tf.contrib.layers.fully_connected(a, self.cfg["output_dim"], activation_fn=None) # self.logits = tf.reshape(cnn_input, shape=(-1, self.cfg["output_dim"])) self.loss = tf.losses.mean_squared_error(self.Y, self.logits, weights=[self.cfg["output_weights"][0:self.cfg["output_dim"]]]) # Training summary for the current batch_loss tf.summary.scalar('loss', self.loss)

51.561404

112

0.434961

5,664

58,780

4.290784

0.061617

0.023042

0.036909

0.085051

0.891166

0.843476

0.834177

0.801136

0.796033

0.791301

0

0.045578

0.46213

58,780

1,139

113

51.606673

0.723115

0.050306

0

0.729216

0

0.057906

0

0.002375

1

0.024941

false

0.004751

0

0.048694

0

null

0

1

0

1

0

null

0

7

3f3fa5a4b7dd46b50af7b24f6c980656320e67a5

194

py

Python

test/test_triangle_construction.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

1

2017-03-25T17:40:57.000Z

test/test_triangle_construction.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

null

test/test_triangle_construction.py

erichaase/topcoder-python

de285d8092a94f2ec1b5c0c33eba55b5c27a5390

[ "MIT" ]

null

from test.assert_json import assert_json from topcoder.triangle_construction import solution def test_triangle_construction (): assert_json('triangle_construction', solution)

32.333333

54

0.783505

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194

6.590909

0.454545

0.206897

0

0.164948

194

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55

38.8

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0.108247

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0.5

1

0.25

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1

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1

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1

0

1

0

8

3f6d51c0eb68bf7beee6b900802689bf93708af8

22,204

py

Python

gym-dubins-airplane/gym_dubins_airplane/envs/agent.py

Cenderme/super-octo-waddle

723b838487dd8127f79b4797f76d427c928f56da

[ "MIT" ]

null

gym-dubins-airplane/gym_dubins_airplane/envs/agent.py

Cenderme/super-octo-waddle

723b838487dd8127f79b4797f76d427c928f56da

[ "MIT" ]

null

gym-dubins-airplane/gym_dubins_airplane/envs/agent.py

Cenderme/super-octo-waddle

723b838487dd8127f79b4797f76d427c928f56da

[ "MIT" ]

1

2021-03-28T16:06:47.000Z

<<<<<<< HEAD import numpy as np import random from model import QNetwork from replay_buffer import ReplayBuffer import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import math import operator BUFFER_SIZE = int(1e5) BATCH_SIZE = 256 # minibatch size GAMMA = 0.99 # discount factor TAU = 1e-3 # for soft update of target parameters LR = 5e-4 # learning rate UPDATE_NN_EVERY = 1 # how often to update the network # prioritized experience replay UPDATE_MEM_EVERY = 20 # how often to update the priorities UPDATE_MEM_PAR_EVERY = 3000 # how often to update the hyperparameters EXPERIENCES_PER_SAMPLING = math.ceil(BATCH_SIZE * UPDATE_MEM_EVERY / UPDATE_NN_EVERY) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") class Agent(): """Interacts with and learns from the environment.""" def __init__(self, state_size, action_size, seed, compute_weights=False): """Initialize an Agent object. Params ====== state_size (int): dimension of each state action_size (int): dimension of each action seed (int): random seed """ self.state_size = state_size self.action_size = action_size self.seed = random.seed(seed) self.compute_weights = compute_weights # Q-Network self.qnetwork_local = QNetwork(state_size, action_size, seed).to(device) self.qnetwork_target = QNetwork(state_size, action_size, seed).to(device) self.optimizer = optim.Adam(self.qnetwork_local.parameters(), lr=LR) self.criterion = nn.MSELoss() # Replay memory self.memory = ReplayBuffer(action_size, BUFFER_SIZE, BATCH_SIZE, EXPERIENCES_PER_SAMPLING, seed, compute_weights) # Initialize time step (for updating every UPDATE_NN_EVERY steps) self.t_step_nn = 0 # Initialize time step (for updating every UPDATE_MEM_PAR_EVERY steps) self.t_step_mem_par = 0 # Initialize time step (for updating every UPDATE_MEM_EVERY steps) self.t_step_mem = 0 def step(self, state, action, reward, next_state, done): # Save experience in replay memory self.memory.add(state, action, reward, next_state, done) # Learn every UPDATE_NN_EVERY time steps. self.t_step_nn = (self.t_step_nn + 1) % UPDATE_NN_EVERY self.t_step_mem = (self.t_step_mem + 1) % UPDATE_MEM_EVERY self.t_step_mem_par = (self.t_step_mem_par + 1) % UPDATE_MEM_PAR_EVERY if self.t_step_mem_par == 0: self.memory.update_parameters() if self.t_step_nn == 0: # If enough samples are available in memory, get random subset and learn if self.memory.experience_count > EXPERIENCES_PER_SAMPLING: sampling = self.memory.sample() self.learn(sampling, GAMMA) if self.t_step_mem == 0: self.memory.update_memory_sampling() def act(self, state, eps=0.): """Returns actions for given state as per current policy. Params ====== state (array_like): current state eps (float): epsilon, for epsilon-greedy action selection """ state = torch.from_numpy(state).float().unsqueeze(0).to(device) # here we calculate action values (Q values) self.qnetwork_local.eval() with torch.no_grad(): action_values = self.qnetwork_local(state) self.qnetwork_local.train() # Epsilon-greedy action selection if random.random() > eps: return np.argmax(action_values.cpu().data.cpu().numpy()) else: return random.choice(np.arange(self.action_size)) def learn(self, sampling, gamma): """Update value parameters using given batch of experience tuples. Params ====== sampling (Tuple[torch.Tensor]): tuple of (s, a, r, s', done) tuples gamma (float): discount factor """ states, actions, rewards, next_states, dones, weights, indices = sampling ## TODO: compute and minimize the loss q_target = self.qnetwork_target(next_states).detach().max( 1)[0].unsqueeze(1) expected_values = rewards + gamma * q_target * (1 - dones) output = self.qnetwork_local(states).gather(1, actions) loss = F.mse_loss(output, expected_values) if self.compute_weights: with torch.no_grad(): weight = sum(np.multiply(weights, loss.data.cpu().numpy())) loss *= weight self.optimizer.zero_grad() loss.backward() self.optimizer.step() # ------------------- update target network ------------------- # self.soft_update(self.qnetwork_local, self.qnetwork_target, TAU) # ------------------- update priorities ------------------- # delta = abs(expected_values - output.detach()).cpu().numpy() #print("delta", delta) self.memory.update_priorities(delta, indices) def soft_update(self, local_model, target_model, tau): """Soft update model parameters. θ_target = τ*θ_local + (1 - τ)*θ_target Params ====== local_model (PyTorch model): weights will be copied from target_model (PyTorch model): weights will be copied to tau (float): interpolation parameter """ for target_param, local_param in zip(target_model.parameters(), local_model.parameters()): target_param.data.copy_(tau * local_param.data + (1.0 - tau) * target_param.data) ======= <<<<<<< HEAD import numpy as np import random from model import QNetwork from replay_buffer import ReplayBuffer # importing uniform sampling import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import math import operator BUFFER_SIZE = int(1e5) # replay buffer size BATCH_SIZE = 64 # minibatch size GAMMA = 0.999 # discount factor TAU = 1e-3 # for soft update of target parameters LR = 5e-4 # learning rate UPDATE_NN_EVERY = 4 # how often to update the network # # prioritized experience replay # UPDATE_MEM_EVERY = 20 # how often to update the priorities # UPDATE_MEM_PAR_EVERY = 3000 # how often to update the hyperparameters # EXPERIENCES_PER_SAMPLING = math.ceil(BATCH_SIZE * UPDATE_MEM_EVERY / # UPDATE_NN_EVERY) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") class Agent(): """Interacts with and learns from the environment.""" def __init__(self, state_size, action_size, seed, compute_weights=False): """Initialize an Agent object. Params ====== state_size (int): dimension of each state action_size (int): dimension of each action seed (int): random seed """ self.state_size = state_size self.action_size = action_size self.seed = random.seed(seed) # self.compute_weights = compute_weights # Algorithms to enable during training self.PrioritizedReplayBuffer = True # Use False to enable uniform sampling self.HardTargetUpdate = True # Use False to enable soft target update # building the policy and target Q-networks for the agent, such that the target Q-network is kept frozen to avoid the training instability issues # Q-Network self.qnetwork_local = QNetwork(state_size, action_size, seed).to(device) # main policy network self.qnetwork_target = QNetwork(state_size, action_size, seed).to(device) # target network self.optimizer = optim.Adam(self.qnetwork_local.parameters(), lr=LR) self.criterion = nn.MSELoss() # Replay memory # building the experience replay memory used to avoid training instability issues # Below: PER self.memory = ReplayBuffer(action_size, BUFFER_SIZE, BATCH_SIZE,seed) # Below: Uniform by method defined in this script #self.memory = ReplayBuffer(action_size, BUFFER_SIZE, BATCH_SIZE, seed) # Initialize time step (for updating every UPDATE_NN_EVERY steps) self.t_step_nn = 0 # # Initialize time step (for updating every UPDATE_MEM_PAR_EVERY steps) # self.t_step_mem_par = 0 # # Initialize time step (for updating every UPDATE_MEM_EVERY steps) # self.t_step_mem = 0 def step(self, state, action, reward, next_state, done): # Save experience in replay memory self.memory.add(state, action, reward, next_state, done) # Learn every UPDATE_NN_EVERY time steps. self.t_step_nn = (self.t_step_nn + 1) % UPDATE_NN_EVERY # self.t_step_mem = (self.t_step_mem + 1) % UPDATE_MEM_EVERY # self.t_step_mem_par = (self.t_step_mem_par + 1) % UPDATE_MEM_PAR_EVERY # if self.t_step_mem_par == 0: # self.memory.update_parameters() if self.t_step_nn == 0: # If enough samples are available in memory, get random subset and learn if len(self.memory) > BATCH_SIZE: experiences = self.memory.sample() self.learn(experiences, GAMMA) # if self.t_step_mem == 0: # self.memory.update_memory_sampling() def act(self, state, eps=0.): """A function to select an action based on the Epsilon greedy policy. Epislon percent of times the agent will select a random action while 1-Epsilon percent of the time the agent will select the action with the highest Q value as predicted by the neural network. Params ====== state (array_like): current state eps (float): epsilon, for epsilon-greedy action selection """ state = torch.from_numpy(state).float().unsqueeze(0).to(device) # here we calculate action values (Q values) self.qnetwork_local.eval() # model deactivate norm, dropout etc. layers as it is expected with torch.no_grad(): action_values = self.qnetwork_local(state) self.qnetwork_local.train() # model.train() sets the modules in the network in training mode # Epsilon-greedy action selection if random.random() > eps: return np.argmax(action_values.cpu().data.cpu().numpy()) else: return random.choice(np.arange(self.action_size)) def learn(self, experiences, gamma): """Update value parameters using given batch of experience tuples. Function for training the neural network. The function will update the weights of the newtwork Params ====== experiences (Tuple[torch.Tensor]): tuple of (s, a, r, s', done) tuples gamma (float): discount factor """ states, actions, rewards, next_states, dones = experiences # Target (absolute) Q values from target Q network q_target = self.qnetwork_target(next_states).detach().max( 1)[0].unsqueeze(1) # Predictions from local Q network expected_values = rewards + gamma * q_target * (1 - dones) output = self.qnetwork_local(states).gather(1, actions) # computing the loss loss = F.mse_loss(output, expected_values) # Loss Function: Mean Square Error # if self.compute_weights: # with torch.no_grad(): # weight = sum(np.multiply(weights, loss.data.cpu().numpy())) # loss *= weight # Minimizing the loss by optimizer self.optimizer.zero_grad() loss.backward() self.optimizer.step() # ------------------- update target network ------------------- # self.soft_update(self.qnetwork_local, self.qnetwork_target, TAU) # ------------------- update priorities ------------------- # # delta = abs(expected_values - output.detach()).cpu().numpy() # #print("delta", delta) # self.memory.update_priorities(delta, indices) def soft_update(self, local_model, target_model, tau): """Soft update model parameters. θ_target = τ*θ_local + (1 - τ)*θ_target Params ====== local_model (PyTorch model): weights will be copied from target_model (PyTorch model): weights will be copied to tau (float): interpolation parameter """ for target_param, local_param in zip(target_model.parameters(), local_model.parameters()): target_param.data.copy_(tau * local_param.data + (1.0 - tau) * target_param.data) # def hard_update(self): # """ This hard_update method performs direct update of target network # weight update from local network weights instantly""" # Write the algorithm here def load_models(self, policy_net_filename, target_net_filename): """ Function to load the parameters of the policy and target models """ print('Loading model...') self.qnetwork_local.load_model(policy_net_filename) self.qnetwork_target.load_model(target_net_filename) # def state_norm(self, state): # state[0] = state[0]/800 # state[1] = state[1]/800 # state[2] = state[2]/np.pi # state[3] = state[3]/np.pi # state[4] = state[4]/np.pi # state[5] = state[5]/np.pi # state[6] = state[6]/np.pi # state[7] = state[7]/np.pi # return np.array(state) # class ReplayBuffer: # """Fixed-size buffer to store experience tuples.""" # def __init__(self, action_size, buffer_size, batch_size, seed): # """Initialize a ReplayBuffer object. # Params # ====== # action_size (int): dimension of each action # buffer_size (int): maximum size of buffer # batch_size (int): size of each training batch # seed (int): random seed # """ # self.action_size = action_size # self.memory = deque(maxlen=buffer_size) # self.batch_size = batch_size # self.experience = namedtuple("Experience", field_names=["state", "action", "reward", "next_state", "done"]) # self.seed = random.seed(seed) # def add(self, state, action, reward, next_state, done): # """Add a new experience to memory.""" # e = self.experience(state, action, reward, next_state, done) # self.memory.append(e) # def sample(self): # """Randomly sample a batch of experiences from memory.""" # experiences = random.sample(self.memory, k=self.batch_size) # states = torch.from_numpy(np.vstack([e.state for e in experiences if e is not None])).float().to(device) # actions = torch.from_numpy(np.vstack([e.action for e in experiences if e is not None])).long().to(device) # rewards = torch.from_numpy(np.vstack([e.reward for e in experiences if e is not None])).float().to(device) # next_states = torch.from_numpy(np.vstack([e.next_state for e in experiences if e is not None])).float().to( # device) # dones = torch.from_numpy(np.vstack([e.done for e in experiences if e is not None]).astype(np.uint8)).float().to( # device) # return (states, actions, rewards, next_states, dones) # def __len__(self): # """Return the current size of internal memory.""" # return len(self.memory) ======= import numpy as np import random from model import QNetwork from replay_buffer import ReplayBuffer import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim import math import operator BUFFER_SIZE = int(1e5) # replay buffer size BATCH_SIZE = 256 # minibatch size GAMMA = 0.99 # discount factor TAU = 1e-3 # for soft update of target parameters LR = 5e-4 # learning rate UPDATE_NN_EVERY = 1 # how often to update the network # prioritized experience replay UPDATE_MEM_EVERY = 20 # how often to update the priorities UPDATE_MEM_PAR_EVERY = 3000 # how often to update the hyperparameters EXPERIENCES_PER_SAMPLING = math.ceil(BATCH_SIZE * UPDATE_MEM_EVERY / UPDATE_NN_EVERY) device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") class Agent(): """Interacts with and learns from the environment.""" def __init__(self, state_size, action_size, seed, compute_weights=False): """Initialize an Agent object. Params ====== state_size (int): dimension of each state action_size (int): dimension of each action seed (int): random seed """ self.state_size = state_size self.action_size = action_size self.seed = random.seed(seed) self.compute_weights = compute_weights # Q-Network self.qnetwork_local = QNetwork(state_size, action_size, seed).to(device) # main policy network self.qnetwork_target = QNetwork(state_size, action_size, seed).to(device) # target network self.optimizer = optim.Adam(self.qnetwork_local.parameters(), lr=LR) self.criterion = nn.MSELoss() # Replay memory self.memory = ReplayBuffer(action_size, BUFFER_SIZE, BATCH_SIZE, EXPERIENCES_PER_SAMPLING, seed, compute_weights) # Initialize time step (for updating every UPDATE_NN_EVERY steps) self.t_step_nn = 0 # Initialize time step (for updating every UPDATE_MEM_PAR_EVERY steps) self.t_step_mem_par = 0 # Initialize time step (for updating every UPDATE_MEM_EVERY steps) self.t_step_mem = 0 def step(self, state, action, reward, next_state, done): # Save experience in replay memory self.memory.add(state, action, reward, next_state, done) # Learn every UPDATE_NN_EVERY time steps. self.t_step_nn = (self.t_step_nn + 1) % UPDATE_NN_EVERY self.t_step_mem = (self.t_step_mem + 1) % UPDATE_MEM_EVERY self.t_step_mem_par = (self.t_step_mem_par + 1) % UPDATE_MEM_PAR_EVERY if self.t_step_mem_par == 0: self.memory.update_parameters() if self.t_step_nn == 0: # If enough samples are available in memory, get random subset and learn if self.memory.experience_count > EXPERIENCES_PER_SAMPLING: sampling = self.memory.sample() self.learn(sampling, GAMMA) if self.t_step_mem == 0: self.memory.update_memory_sampling() def act(self, state, eps=0.): """Returns actions for given state as per current policy. Params ====== state (array_like): current state eps (float): epsilon, for epsilon-greedy action selection """ state = torch.from_numpy(state).float().unsqueeze(0).to(device) # here we calculate action values (Q values) self.qnetwork_local.eval() with torch.no_grad(): action_values = self.qnetwork_local(state) self.qnetwork_local.train() # Epsilon-greedy action selection if random.random() > eps: return np.argmax(action_values.cpu().data.cpu().numpy()) else: return random.choice(np.arange(self.action_size)) def learn(self, sampling, gamma): """Update value parameters using given batch of experience tuples. Params ====== sampling (Tuple[torch.Tensor]): tuple of (s, a, r, s', done) tuples gamma (float): discount factor """ states, actions, rewards, next_states, dones, weights, indices = sampling ## TODO: compute and minimize the loss q_target = self.qnetwork_target(next_states).detach().max( 1)[0].unsqueeze(1) expected_values = rewards + gamma * q_target * (1 - dones) output = self.qnetwork_local(states).gather(1, actions) loss = F.mse_loss(output, expected_values) # Loss Function: Mean Square Error if self.compute_weights: with torch.no_grad(): weight = sum(np.multiply(weights, loss.data.cpu().numpy())) loss *= weight self.optimizer.zero_grad() loss.backward() self.optimizer.step() # ------------------- update target network ------------------- # self.soft_update(self.qnetwork_local, self.qnetwork_target, TAU) # ------------------- update priorities ------------------- # delta = abs(expected_values - output.detach()).cpu().numpy() #print("delta", delta) self.memory.update_priorities(delta, indices) def soft_update(self, local_model, target_model, tau): """Soft update model parameters. θ_target = τ*θ_local + (1 - τ)*θ_target Params ====== local_model (PyTorch model): weights will be copied from target_model (PyTorch model): weights will be copied to tau (float): interpolation parameter """ for target_param, local_param in zip(target_model.parameters(), local_model.parameters()): target_param.data.copy_(tau * local_param.data + (1.0 - tau) * target_param.data) >>>>>>> 6819adb566d3adb52b4ba0d843df0a5e09f4af63 >>>>>>> baf535a02bf8c1d22686c247a37d9aa21a5ccce8

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Python

day20/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

4

2020-12-03T13:22:12.000Z

2020-12-22T21:51:49.000Z

day20/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

null

day20/data.py

ogun/advent-of-code-2020

1dcf268f9f1f6cd7c46d442b6aaa9b19ec5b2cf1

[ "MIT" ]

1

2020-12-12T13:41:12.000Z

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453f5032c66fbc0cd7fe41bafbb9d5b22a41c276

164

py

Python

ms_deisotope/test/test_library.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

18

2017-09-01T12:26:12.000Z

2022-02-23T02:31:29.000Z

ms_deisotope/test/test_library.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

19

2017-03-12T20:40:36.000Z

2022-03-31T22:50:47.000Z

ms_deisotope/test/test_library.py

mstim/ms_deisotope

29f4f466e92e66b65a2d21eca714aa627caa21db

[ "Apache-2.0" ]

14

2016-05-06T02:25:30.000Z

2022-03-31T14:40:06.000Z

import ms_deisotope import ms_peak_picker def test_c_extensions_load(): assert ms_peak_picker.check_c_extensions() assert ms_deisotope.check_c_extensions()

27.333333

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164

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null

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18bc050913b93c60b163305750204405919fa44b

183

py

Python

lambda-function.py

unbiased-coder/python-create-lambda-layer

f7bcf02a08a6a3e6dbf44ee2879cd9f95d3e729c

[ "Unlicense" ]

null

lambda-function.py

unbiased-coder/python-create-lambda-layer

f7bcf02a08a6a3e6dbf44ee2879cd9f95d3e729c

[ "Unlicense" ]

null

lambda-function.py

unbiased-coder/python-create-lambda-layer

f7bcf02a08a6a3e6dbf44ee2879cd9f95d3e729c

[ "Unlicense" ]

null

# layer is located in Python directory import json from layer import unbiased_coder_test_layer_function def lambda_handler(event, context): unbiased_coder_test_layer_function()

22.875

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7a0826bfd470d08b1181ca0b314522c9c02dbbe5

132

py

Python

src/hommmer/metrics/dummy_median.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

4

2021-11-09T21:27:30.000Z

2021-11-23T00:38:20.000Z

src/hommmer/metrics/dummy_median.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

null

src/hommmer/metrics/dummy_median.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

null

import numpy as np def dummy_median(y_actual): # dummy median predictor return np.full(y_actual.shape, np.median(y_actual))

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e136455ed18f5c117b45a154de97ce26c3e0d90d

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py

Python

baselines/herhrl/actor_critic.py

knowledgetechnologyuhh/goal_conditioned_RL_baselines

915fc875fd8cc75accd0804d99373916756f726e

[ "MIT" ]

15

2020-07-01T16:16:09.000Z

2021-12-20T21:56:33.000Z

baselines/herhrl/actor_critic.py

knowledgetechnologyuhh/goal_conditioned_RL_baselines

915fc875fd8cc75accd0804d99373916756f726e

[ "MIT" ]

14

2020-09-25T22:41:20.000Z

2022-03-12T00:38:44.000Z

baselines/herhrl/actor_critic.py

knowledgetechnologyuhh/goal_conditioned_RL_baselines

915fc875fd8cc75accd0804d99373916756f726e

[ "MIT" ]

2

2020-07-01T16:19:08.000Z

2020-11-28T10:45:59.000Z

import tensorflow as tf from baselines.util import store_args, nn import math import uuid @tf.RegisterGradient("HeavisideGrad") def _heaviside_grad(unused_op: tf.Operation, grad: tf.Tensor): return tf.maximum(0.0, 1.0 - tf.abs(unused_op.inputs[0])) * grad def heaviside(x: tf.Tensor, g: tf.Graph = tf.get_default_graph()): custom_grads = { "Identity": "HeavisideGrad" } with g.gradient_override_map(custom_grads): i = tf.identity(x, name="identity_" + str(uuid.uuid1())) ge = tf.greater_equal(x, 0, name="ge_" + str(uuid.uuid1())) # tf.stop_gradient is needed to exclude tf.to_float from derivative step_func = i + tf.stop_gradient(tf.to_float(ge) - i) return step_func class ActorCritic: @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): """The actor-critic network and related training code. Args: inputs_tf (dict of tensors): all necessary inputs for the network: the observation (o), the goal (g), and the action (u) dimo (int): the dimension of the observations dimg (int): the dimension of the goals dimu (int): the dimension of the actions max_u (float): the maximum magnitude of actions; action outputs will be scaled accordingly o_stats (baselines.her.Normalizer): normalizer for observations g_stats (baselines.her.Normalizer): normalizer for goals hidden (int): number of hidden units that should be used in hidden layers layers (int): number of hidden layers """ self.o_tf = inputs_tf['o'] self.g_tf = inputs_tf['g'] self.u_tf = inputs_tf['u'] # Prepare inputs for actor and critic. o = self.o_stats.normalize(self.o_tf) g = self.g_stats.normalize(self.g_tf) input_pi = tf.concat(axis=1, values=[o, g]) # for actor # Networks. with tf.variable_scope('shared_preproc'): self.preproc_in = input_pi with tf.variable_scope('pi'): self.pi_tf = self.max_u * tf.tanh(nn( input_pi, [self.hidden] * self.layers + [self.dimu])) with tf.variable_scope('Q'): # for policy training input_Q = tf.concat(axis=1, values=[o, g, self.pi_tf / self.max_u]) self.Q_pi_tf = nn(input_Q, [self.hidden] * self.layers + [1]) # for critic training input_Q = tf.concat(axis=1, values=[o, g, self.u_tf / self.max_u]) self._input_Q = input_Q # exposed for tests self.Q_tf = nn(input_Q, [self.hidden] * self.layers + [1], reuse=True) class ActorCriticSharedPreproc: """ The same as the ActorCritic but with a single shared preprocessing layer. """ @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): """The actor-critic network and related training code. Args: inputs_tf (dict of tensors): all necessary inputs for the network: the observation (o), the goal (g), and the action (u) dimo (int): the dimension of the observations dimg (int): the dimension of the goals dimu (int): the dimension of the actions max_u (float): the maximum magnitude of actions; action outputs will be scaled accordingly o_stats (baselines.her.Normalizer): normalizer for observations g_stats (baselines.her.Normalizer): normalizer for goals hidden (int): number of hidden units that should be used in hidden layers layers (int): number of hidden layers """ self.o_tf = inputs_tf['o'] self.g_tf = inputs_tf['g'] self.u_tf = inputs_tf['u'] # Prepare inputs for actor and critic. o = self.o_stats.normalize(self.o_tf) g = self.g_stats.normalize(self.g_tf) input_og = tf.concat(axis=1, values=[o, g]) # for actor # Networks. with tf.variable_scope('shared_preproc'): self.preproc_in = nn(input_og, [self.hidden]) with tf.variable_scope('pi'): self.pi_tf = self.max_u * tf.tanh(nn( self.preproc_in, [self.hidden] * self.layers + [self.dimu])) with tf.variable_scope('Q'): # for policy training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.pi_tf / self.max_u]) self.Q_pi_tf = nn(input_Q, [self.hidden] * self.layers + [1]) # for critic training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.u_tf / self.max_u]) self._input_Q = input_Q # exposed for tests self.Q_tf = nn(input_Q, [self.hidden] * self.layers + [1], reuse=True) class ActorCriticVanillaAttnEnforceW: """ The same as the ActorCritic but with an additional attention layer that is subject to an additional error function that encourages the outputs of the attention to be either 0 or 1. The error function has a "W"-shape with the lower points are 0 and 1. The steepness parameter controls the steepness of the "W". """ steepness = 1 @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): """The actor-critic network and related training code. Args: inputs_tf (dict of tensors): all necessary inputs for the network: the observation (o), the goal (g), and the action (u) dimo (int): the dimension of the observations dimg (int): the dimension of the goals dimu (int): the dimension of the actions max_u (float): the maximum magnitude of actions; action outputs will be scaled accordingly o_stats (baselines.her.Normalizer): normalizer for observations g_stats (baselines.her.Normalizer): normalizer for goals hidden (int): number of hidden units that should be used in hidden layers layers (int): number of hidden layers """ self.o_tf = inputs_tf['o'] self.g_tf = inputs_tf['g'] self.u_tf = inputs_tf['u'] # Prepare inputs for actor and critic. o = self.o_stats.normalize(self.o_tf) g = self.g_stats.normalize(self.g_tf) input_og = tf.concat(axis=1, values=[o, g]) # for actor # Networks. with tf.variable_scope('shared_preproc') as scope: self.attn = tf.nn.sigmoid(nn(input_og, [self.hidden] * 2 + [input_og.shape[1]], name='attn') * self.steepness) force_W_steepness = 3 # This is the additional "W"-error that will be added to the total error for optimizing the weights in the shared preproc layers. self.shared_preproc_err = ((4 * force_W_steepness * (self.attn ** 2)) - (4 * force_W_steepness * self.attn)) ** 2 had_prod = self.attn * input_og # Now map input to a smaller space reduced_attn_input = had_prod reduced_attn = self.attn self.preproc_in = tf.concat(axis=1, values=[reduced_attn_input, reduced_attn]) with tf.variable_scope('pi'): self.pi_tf = self.max_u * tf.tanh(nn( self.preproc_in, [self.hidden] * self.layers + [self.dimu])) with tf.variable_scope('Q'): # for policy training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.pi_tf / self.max_u]) self.Q_pi_tf = nn(input_Q, [self.hidden] * self.layers + [1]) # for critic training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.u_tf / self.max_u]) self._input_Q = input_Q # exposed for tests self.Q_tf = nn(input_Q, [self.hidden] * self.layers + [1], reuse=True) class ActorCriticProbSamplingAttn: """ The same as the ActorCritic but with an additional attention layer that is subject to probabilistic sampling. """ steepness = 1 @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): """The actor-critic network and related training code. Args: inputs_tf (dict of tensors): all necessary inputs for the network: the observation (o), the goal (g), and the action (u) dimo (int): the dimension of the observations dimg (int): the dimension of the goals dimu (int): the dimension of the actions max_u (float): the maximum magnitude of actions; action outputs will be scaled accordingly o_stats (baselines.her.Normalizer): normalizer for observations g_stats (baselines.her.Normalizer): normalizer for goals hidden (int): number of hidden units that should be used in hidden layers layers (int): number of hidden layers """ self.o_tf = inputs_tf['o'] self.g_tf = inputs_tf['g'] self.u_tf = inputs_tf['u'] # self.rnd_in_tf = inputs_tf['rnd'] # Prepare inputs for actor and critic. o = self.o_stats.normalize(self.o_tf) g = self.g_stats.normalize(self.g_tf) input_og = tf.concat(axis=1, values=[o, g]) # for actor # Networks. with tf.variable_scope('shared_preproc') as scope: # This is the probability vector concerned with which input is probable to be attended to. self.prob_in = tf.nn.sigmoid(nn(input_og, [64] * 2 + [input_og.shape[1]], name='attn')) self.rnd = tf.random_uniform(shape=[kwargs['batch_size'], int(input_og.shape[1])]) # By subtracting a random number in [0,1] from the prob_in, we generate an attn value in [-1,1]. # Hence, the prob_in learns to be close to 0 or 1, because the NN "wants" a controllable and deterministic # attn vector. Because we have the sigmoid applied to the difference, this is only possible if the prob_in # is close to 0 or 1. self.attn = tf.sigmoid((self.prob_in - self.rnd) * self.steepness) had_prod = self.attn * input_og # Now map input to a smaller space reduced_attn_input = had_prod # reduced_attn_input = nn(had_prod, [int(input_og.shape[1]//3)], name='compress_in') reduced_attn = self.attn # reduced_attn = nn(attn, [int(input_og.shape[1]//3)], name='compress_attn') self.preproc_in = tf.concat(axis=1, values=[reduced_attn_input, reduced_attn]) with tf.variable_scope('pi'): self.pi_tf = self.max_u * tf.tanh(nn( self.preproc_in, [self.hidden] * self.layers + [self.dimu])) with tf.variable_scope('Q'): # for policy training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.pi_tf / self.max_u]) self.Q_pi_tf = nn(input_Q, [self.hidden] * self.layers + [1]) # for critic training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.u_tf / self.max_u]) self._input_Q = input_Q # exposed for tests self.Q_tf = nn(input_Q, [self.hidden] * self.layers + [1], reuse=True) class ActorCriticProbSamplingAttnSteep100(ActorCriticProbSamplingAttn): """ Same as ActorCriticProbSampling but with a steeper sigmoid function/ """ steepness = 100 @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): ActorCriticProbSamplingAttn.__init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs) class ActorCriticProbSamplingAttnSteep6(ActorCriticProbSamplingAttn): """ Same as ActorCriticProbSampling but with a steeper sigmoid function/ """ steepness = 6 @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): ActorCriticProbSamplingAttn.__init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs) class ActorCriticProbSamplingAttnHeaviside: """ Same as ActorCriticProbSampling, but with heaviside function instead of sigmoid. """ @store_args def __init__(self, inputs_tf, dimo, dimg, dimu, max_u, o_stats, g_stats, hidden, layers, **kwargs): """The actor-critic network and related training code. Args: inputs_tf (dict of tensors): all necessary inputs for the network: the observation (o), the goal (g), and the action (u) dimo (int): the dimension of the observations dimg (int): the dimension of the goals dimu (int): the dimension of the actions max_u (float): the maximum magnitude of actions; action outputs will be scaled accordingly o_stats (baselines.her.Normalizer): normalizer for observations g_stats (baselines.her.Normalizer): normalizer for goals hidden (int): number of hidden units that should be used in hidden layers layers (int): number of hidden layers """ self.o_tf = inputs_tf['o'] self.g_tf = inputs_tf['g'] self.u_tf = inputs_tf['u'] # Prepare inputs for actor and critic. o = self.o_stats.normalize(self.o_tf) g = self.g_stats.normalize(self.g_tf) input_og = tf.concat(axis=1, values=[o, g]) # for actor # Networks. with tf.variable_scope('shared_preproc') as scope: self.prob_in = tf.nn.sigmoid(nn(input_og, [64] * 2 + [input_og.shape[1]], name='attn')) self.rnd = tf.random_uniform(minval=0.01, maxval=0.99, shape=[kwargs['batch_size'], int(input_og.shape[1])]) self.attn = heaviside(self.prob_in - self.rnd) had_prod = self.attn * input_og # Now map input to a smaller space reduced_attn_input = had_prod reduced_attn = self.attn self.preproc_in = tf.concat(axis=1, values=[reduced_attn_input, reduced_attn]) with tf.variable_scope('pi'): self.pi_tf = self.max_u * tf.tanh(nn( self.preproc_in, [self.hidden] * self.layers + [self.dimu])) with tf.variable_scope('Q'): # for policy training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.pi_tf / self.max_u]) self.Q_pi_tf = nn(input_Q, [self.hidden] * self.layers + [1]) # for critic training input_Q = tf.concat(axis=1, values=[self.preproc_in, self.u_tf / self.max_u]) self._input_Q = input_Q # exposed for tests self.Q_tf = nn(input_Q, [self.hidden] * self.layers + [1], reuse=True)

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0

null

0

1

0

1

0

null

0

7

e198fb68c680f8491f12365f6f0a9226dc81426e

271

py

Python

bpl_api/api/__init__.py

DuneRoot/bpl-api

41470cf75c15b034636828fa476fd6e6a35880c6

[ "MIT" ]

null

bpl_api/api/__init__.py

DuneRoot/bpl-api

41470cf75c15b034636828fa476fd6e6a35880c6

[ "MIT" ]

null

bpl_api/api/__init__.py

DuneRoot/bpl-api

41470cf75c15b034636828fa476fd6e6a35880c6

[ "MIT" ]

null

from bpl_api.api import Accounts from bpl_api.api import Blocks from bpl_api.api import Delegates from bpl_api.api import Loader from bpl_api.api import Multisignatures from bpl_api.api import Peers from bpl_api.api import Signatures from bpl_api.api import Transactions

30.111111

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0.681614

0

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271

8

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33.875

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null

0

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1

0

1

0

7

e1bde951309ff9bdd2597c2e51a3da17338d87cd

16,733

py

Python

port/modules/font/dvsmb_16.py

diskman88/mpython-desktop-robot

01cd15fbeeba521ab874cf66f94d3909c4f8c39a

[ "MIT" ]

53

2018-10-15T12:01:24.000Z

2019-11-22T09:31:02.000Z

port/modules/font/dvsmb_16.py

diskman88/mpython-desktop-robot

01cd15fbeeba521ab874cf66f94d3909c4f8c39a

[ "MIT" ]

10

2018-10-17T13:42:19.000Z

2019-11-25T06:42:40.000Z

port/modules/font/dvsmb_16.py

diskman88/mpython-desktop-robot

01cd15fbeeba521ab874cf66f94d3909c4f8c39a

[ "MIT" ]

26

2018-12-04T03:53:39.000Z

2019-11-22T03:40:05.000Z

# Code generated by font-to-py.py. # Font: dsmb.ttf version = '0.26' def height(): return 16 def max_width(): return 9 def hmap(): return True def reverse(): return False def monospaced(): return False def min_ch(): return 32 def max_ch(): return 126 _font =\ b'\x09\x00\x00\x00\x78\x00\x8c\x00\x0c\x00\x1c\x00\x38\x00\x30\x00'\ b'\x30\x00\x30\x00\x00\x00\x30\x00\x30\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x09\x00\x00\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00'\ b'\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x00\x00\xc0\x00\xc0\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\xcc\x00\xcc\x00\xcc\x00'\ b'\xcc\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x19\x00\x1b\x00'\ b'\x1b\x00\x7f\x80\x36\x00\x36\x00\x36\x00\xff\x00\x64\x00\x6c\x00'\ b'\x6c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x10\x00\x10\x00'\ b'\x7c\x00\xd4\x00\xd0\x00\xf0\x00\x7c\x00\x1e\x00\x16\x00\x16\x00'\ b'\xd6\x00\x7c\x00\x10\x00\x10\x00\x00\x00\x00\x00\x09\x00\x00\x00'\ b'\x70\x00\x88\x00\x88\x00\x88\x00\x71\x80\x1e\x00\xe7\x00\x08\x80'\ b'\x08\x80\x08\x80\x07\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x00\x00\x38\x00\x60\x00\x60\x00\x20\x00\x70\x00\x76\x00\xde\x00'\ b'\xde\x00\xdc\x00\xec\x00\x7e\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x00\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x30\x00\x60\x00\x60\x00\xc0\x00\xc0\x00'\ b'\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x60\x00\x60\x00\x30\x00'\ b'\x00\x00\x00\x00\x09\x00\x00\x00\xc0\x00\x60\x00\x60\x00\x30\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x60\x00\x60\x00'\ b'\xc0\x00\x00\x00\x00\x00\x09\x00\x00\x00\x10\x00\xd6\x00\x7c\x00'\ b'\x7c\x00\xd6\x00\x10\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00'\ b'\x18\x00\x18\x00\x18\x00\xff\x00\xff\x00\x18\x00\x18\x00\x18\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x60\x00'\ b'\x60\x00\x60\x00\x60\x00\xc0\x00\x00\x00\x00\x00\x09\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xf8\x00\xf8\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\xc0\x00\xc0\x00\xc0\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x00\x00\x03\x00\x06\x00\x06\x00\x0c\x00\x0c\x00\x18\x00'\ b'\x18\x00\x30\x00\x30\x00\x60\x00\x60\x00\xc0\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x38\x00\x6c\x00\xc6\x00\xc6\x00\xd6\x00'\ b'\xd6\x00\xc6\x00\xc6\x00\xc6\x00\x6c\x00\x38\x00\x00\x00\x00\x00'\ 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b'\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\xff\x80\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\xc0\x00\x60\x00\x30\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x3c\x00'\ b'\x46\x00\x06\x00\x7e\x00\xc6\x00\xc6\x00\xce\x00\x7e\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\xc0\x00\xc0\x00\xc0\x00'\ b'\xfc\x00\xee\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xee\x00\xfc\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x3c\x00\x62\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x62\x00'\ b'\x3c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x06\x00'\ b'\x06\x00\x06\x00\x7e\x00\xee\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00'\ b'\xee\x00\x7e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x3c\x00\x46\x00\xc6\x00\xfe\x00\xc0\x00'\ b'\xc0\x00\x62\x00\x3c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x00\x00\x1e\x00\x30\x00\x30\x00\xfe\x00\x30\x00\x30\x00\x30\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x7e\x00\x6e\x00\xc6\x00'\ b'\xc6\x00\xc6\x00\xc6\x00\x6e\x00\x7e\x00\x06\x00\x46\x00\x3c\x00'\ b'\x00\x00\x09\x00\x00\x00\xc0\x00\xc0\x00\xc0\x00\xfc\x00\xc6\x00'\ b'\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x09\x00\x18\x00\x18\x00\x18\x00\x00\x00\x78\x00'\ b'\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\xff\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x09\x00\x18\x00\x18\x00\x18\x00\x00\x00'\ b'\x78\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00\x18\x00'\ b'\x18\x00\x18\x00\xf0\x00\x00\x00\x09\x00\x00\x00\xc0\x00\xc0\x00'\ b'\xc0\x00\xcc\x00\xd8\x00\xf0\x00\xf0\x00\xd8\x00\xd8\x00\xcc\x00'\ b'\xce\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\xf0\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00'\ b'\x30\x00\x1e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\xff\x00\xdb\x00\xdb\x00\xdb\x00\xdb\x00'\ b'\xdb\x00\xdb\x00\xdb\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\xfc\x00\xc6\x00\xc6\x00\xc6\x00'\ b'\xc6\x00\xc6\x00\xc6\x00\xc6\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x38\x00\x6c\x00\xc6\x00'\ b'\xc6\x00\xc6\x00\xc6\x00\x6c\x00\x38\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\xfc\x00\xee\x00'\ b'\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xee\x00\xfc\x00\xc0\x00\xc0\x00'\ b'\xc0\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\x7e\x00'\ b'\xee\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xee\x00\x7e\x00\x06\x00'\ b'\x06\x00\x06\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\xfc\x00\xe0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x7c\x00\xc2\x00\xc0\x00\xf8\x00\x3e\x00\x06\x00\x86\x00'\ b'\x7c\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00'\ b'\x30\x00\x30\x00\xfe\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00'\ b'\x30\x00\x1e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00\xc6\x00'\ b'\xc6\x00\xc6\x00\x7e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\xc6\x00\xee\x00\x6c\x00\x6c\x00'\ b'\x6c\x00\x28\x00\x38\x00\x38\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\xc1\x80\xc1\x80\xc9\x80'\ b'\x5d\x00\x77\x00\x77\x00\x63\x00\x63\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\xee\x00\x6c\x00'\ b'\x38\x00\x38\x00\x38\x00\x3c\x00\x6c\x00\xee\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00\xc6\x00'\ b'\x6e\x00\x6c\x00\x6c\x00\x3c\x00\x38\x00\x18\x00\x18\x00\x18\x00'\ b'\x30\x00\x70\x00\x00\x00\x09\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\xfe\x00\x06\x00\x0c\x00\x18\x00\x30\x00\x60\x00\xc0\x00\xfe\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x09\x00\x00\x00\x1c\x00\x30\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\xc0\x00\x30\x00\x30\x00'\ b'\x30\x00\x30\x00\x30\x00\x1c\x00\x00\x00\x09\x00\x00\x00\xc0\x00'\ b'\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00'\ b'\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\xc0\x00\x09\x00\x00\x00'\ b'\xe0\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\x0c\x00'\ b'\x30\x00\x30\x00\x30\x00\x30\x00\x30\x00\xe0\x00\x00\x00\x09\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x71\x00\xff\x00'\ b'\x8e\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00\x00'\ _index =\ b'\x00\x00\x22\x00\x22\x00\x44\x00\x44\x00\x66\x00\x66\x00\x88\x00'\ b'\x88\x00\xaa\x00\xaa\x00\xcc\x00\xcc\x00\xee\x00\xee\x00\x10\x01'\ b'\x10\x01\x32\x01\x32\x01\x54\x01\x54\x01\x76\x01\x76\x01\x98\x01'\ b'\x98\x01\xba\x01\xba\x01\xdc\x01\xdc\x01\xfe\x01\xfe\x01\x20\x02'\ b'\x20\x02\x42\x02\x42\x02\x64\x02\x64\x02\x86\x02\x86\x02\xa8\x02'\ b'\xa8\x02\xca\x02\xca\x02\xec\x02\xec\x02\x0e\x03\x0e\x03\x30\x03'\ b'\x30\x03\x52\x03\x52\x03\x74\x03\x74\x03\x96\x03\x96\x03\xb8\x03'\ b'\xb8\x03\xda\x03\xda\x03\xfc\x03\xfc\x03\x1e\x04\x1e\x04\x40\x04'\ b'\x40\x04\x62\x04\x62\x04\x84\x04\x84\x04\xa6\x04\xa6\x04\xc8\x04'\ b'\xc8\x04\xea\x04\xea\x04\x0c\x05\x0c\x05\x2e\x05\x2e\x05\x50\x05'\ b'\x50\x05\x72\x05\x72\x05\x94\x05\x94\x05\xb6\x05\xb6\x05\xd8\x05'\ b'\xd8\x05\xfa\x05\xfa\x05\x1c\x06\x1c\x06\x3e\x06\x3e\x06\x60\x06'\ b'\x60\x06\x82\x06\x82\x06\xa4\x06\xa4\x06\xc6\x06\xc6\x06\xe8\x06'\ b'\xe8\x06\x0a\x07\x0a\x07\x2c\x07\x2c\x07\x4e\x07\x4e\x07\x70\x07'\ b'\x70\x07\x92\x07\x92\x07\xb4\x07\xb4\x07\xd6\x07\xd6\x07\xf8\x07'\ b'\xf8\x07\x1a\x08\x1a\x08\x3c\x08\x3c\x08\x5e\x08\x5e\x08\x80\x08'\ b'\x80\x08\xa2\x08\xa2\x08\xc4\x08\xc4\x08\xe6\x08\xe6\x08\x08\x09'\ b'\x08\x09\x2a\x09\x2a\x09\x4c\x09\x4c\x09\x6e\x09\x6e\x09\x90\x09'\ b'\x90\x09\xb2\x09\xb2\x09\xd4\x09\xd4\x09\xf6\x09\xf6\x09\x18\x0a'\ b'\x18\x0a\x3a\x0a\x3a\x0a\x5c\x0a\x5c\x0a\x7e\x0a\x7e\x0a\xa0\x0a'\ b'\xa0\x0a\xc2\x0a\xc2\x0a\xe4\x0a\xe4\x0a\x06\x0b\x06\x0b\x28\x0b'\ b'\x28\x0b\x4a\x0b\x4a\x0b\x6c\x0b\x6c\x0b\x8e\x0b\x8e\x0b\xb0\x0b'\ b'\xb0\x0b\xd2\x0b\xd2\x0b\xf4\x0b\xf4\x0b\x16\x0c\x16\x0c\x38\x0c'\ b'\x38\x0c\x5a\x0c\x5a\x0c\x7c\x0c\x7c\x0c\x9e\x0c\x9e\x0c\xc0\x0c'\ _mvfont = memoryview(_font) def get_ch(ch): ordch = ord(ch) ordch = ordch + 1 if ordch >= 32 and ordch <= 126 else 63 idx_offs = 4 * (ordch - 32) offset = int.from_bytes(_index[idx_offs : idx_offs + 2], 'little') next_offs = int.from_bytes(_index[idx_offs + 2 : idx_offs + 4], 'little') width = int.from_bytes(_font[offset:offset + 2], 'little') return _mvfont[offset + 2:next_offs], 16, width

62.204461

78

0.695392

3,989

16,733

2.911507

0.045876

0.586361

0.692785

0.700534

0.799552

0.752282

0.723696

0.697348

0.664371

0.639745

0

0.400934

0.039921

16,733

268

79

62.436567

0.322004

0.002809

0

0.094488

1

0.897638

0.890283

0.888943

0

1

0

1

0.031496

false

0

0.027559

0.062992

0

null

1

0

1

0

1

0

1

0

1

0

1

null

1

0

13

83204304c2f735e91218db683272b9bcc5d80e1b

52,410

py

Python

venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/plugins/module_utils/network/junos/argspec/bgp_address_family/bgp_address_family.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

1

2020-01-22T13:11:23.000Z

venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/plugins/module_utils/network/junos/argspec/bgp_address_family/bgp_address_family.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

12

2020-02-21T07:24:52.000Z

2020-04-14T09:54:32.000Z

venv/lib/python3.6/site-packages/ansible_collections/junipernetworks/junos/plugins/module_utils/network/junos/argspec/bgp_address_family/bgp_address_family.py

usegalaxy-no/usegalaxy

75dad095769fe918eb39677f2c887e681a747f3a

[ "MIT" ]

null

# # -*- coding: utf-8 -*- # Copyright 2019 Red Hat # GNU General Public License v3.0+ # (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) ############################################# # WARNING # ############################################# # # This file is auto generated by the resource # module builder playbook. # # Do not edit this file manually. # # Changes to this file will be over written # by the resource module builder. # # Changes should be made in the model used to # generate this file or in the resource module # builder template. # ############################################# """ The arg spec for the junos_bgp_address_family module """ from __future__ import absolute_import, division, print_function __metaclass__ = type class Bgp_address_familyArgs(object): # pylint: disable=R0903 """The arg spec for the junos_bgp_address_family module """ def __init__(self, **kwargs): pass argument_spec = { "config": { "options": { "address_family": { "elements": "dict", "options": { "af_type": { "elements": "dict", "options": { "accepted_prefix_limit": { "options": { "forever": {"type": "bool"}, "idle_timeout": {"type": "bool"}, "idle_timeout_value": {"type": "int"}, "limit_threshold": {"type": "int"}, "maximum": {"type": "int"}, "teardown": {"type": "bool"}, }, "type": "dict", }, "add_path": { "options": { "receive": {"type": "bool"}, "send": { "options": { "include_backup_path": { "type": "int" }, "multipath": {"type": "bool"}, "path_count": { "required": True, "type": "int", }, "path_selection_mode": { "options": { "all_paths": { "type": "bool" }, "equal_cost_paths": { "type": "bool" }, }, "type": "dict", }, "prefix_policy": { "type": "str" }, }, "type": "dict", }, }, "type": "dict", }, "aggregate_label": { "options": { "community": {"type": "str"}, "set": {"type": "bool"}, }, "type": "dict", }, "aigp": { "options": { "disable": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "damping": {"type": "bool"}, "defer_initial_multipath_build": { "options": { "maximum_delay": {"type": "int"}, "set": {"type": "bool"}, }, "type": "dict", }, "delay_route_advertisements": { "options": { "max_delay_route_age": {"type": "int"}, "max_delay_routing_uptime": { "type": "int" }, "min_delay_inbound_convergence": { "type": "int" }, "min_delay_routing_uptime": { "type": "int" }, "set": {"type": "bool"}, }, "type": "dict", }, "entropy_label": { "options": { "import": {"type": "str"}, "no_next_hop_validation": { "type": "bool" }, "set": {"type": "bool"}, }, "type": "dict", }, "explicit_null": { "options": { "connected_only": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "extended_nexthop": {"type": "bool"}, "extended_nexthop_color": {"type": "bool"}, "graceful_restart_forwarding_state_bit": { "choices": ["from-fib", "set"], "type": "str", }, "legacy_redirect_ip_action": { "options": { "receive": {"type": "bool"}, "send": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "local_ipv4_address": {"type": "str"}, "loops": {"type": "int"}, "no_install": {"type": "bool"}, "no_validate": {"type": "str"}, "output_queue_priority_expedited": { "type": "bool" }, "output_queue_priority_priority": { "type": "int" }, "per_group_label": {"type": "bool"}, "per_prefix_label": {"type": "bool"}, "prefix_limit": { "options": { "forever": {"type": "bool"}, "idle_timeout": {"type": "bool"}, "idle_timeout_value": {"type": "int"}, "limit_threshold": {"type": "int"}, "maximum": {"type": "int"}, "teardown": {"type": "bool"}, }, "type": "dict", }, "resolve_vpn": {"type": "bool"}, "rib": {"choices": ["inet.3"], "type": "str"}, "ribgroup_name": {"type": "str"}, "route_refresh_priority_expedited": { "type": "bool" }, "route_refresh_priority_priority": { "type": "int" }, "secondary_independent_resolution": { "type": "bool" }, "set": {"type": "bool"}, "strip_nexthop": {"type": "bool"}, "topology": { "elements": "dict", "options": { "community": { "elements": "str", "type": "list", }, "name": {"type": "str"}, }, "type": "list", }, "traffic_statistics": { "options": { "file": { "options": { "filename": {"type": "str"}, "files": {"type": "int"}, "no_world_readable": { "type": "bool" }, "size": {"type": "int"}, "world_readable": { "type": "bool" }, }, "type": "dict", }, "interval": {"type": "int"}, "labeled_path": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "type": { "choices": [ "any", "flow", "labeled-unicast", "multicast", "segment-routing-te", "unicast", "signaling", "auto-discovery-mspw", "auto-discovery-only", ], "type": "str", }, "withdraw_priority_expedited": { "type": "bool" }, "withdraw_priority_priority": {"type": "int"}, }, "type": "list", }, "afi": { "choices": [ "evpn", "inet", "inet-mdt", "inet-mvpn", "inet-vpn", "inet6", "inet6-mvpn", "inet6-vpn", "iso-vpn", "l2vpn", "route-target", "traffic-engineering", ], "type": "str", }, }, "type": "list", }, "groups": { "elements": "dict", "options": { "address_family": { "elements": "dict", "options": { "af_type": { "elements": "dict", "options": { "accepted_prefix_limit": { "options": { "forever": {"type": "bool"}, "idle_timeout": { "type": "bool" }, "idle_timeout_value": { "type": "int" }, "limit_threshold": { "type": "int" }, "maximum": {"type": "int"}, "teardown": {"type": "bool"}, }, "type": "dict", }, "add_path": { "options": { "receive": {"type": "bool"}, "send": { "options": { "include_backup_path": { "type": "int" }, "multipath": { "type": "bool" }, "path_count": { "required": True, "type": "int", }, "path_selection_mode": { "options": { "all_paths": { "type": "bool" }, "equal_cost_paths": { "type": "bool" }, }, "type": "dict", }, "prefix_policy": { "type": "str" }, }, "type": "dict", }, }, "type": "dict", }, "aggregate_label": { "options": { "community": {"type": "str"}, "set": {"type": "bool"}, }, "type": "dict", }, "aigp": { "options": { "disable": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "damping": {"type": "bool"}, "defer_initial_multipath_build": { "options": { "maximum_delay": { "type": "int" }, "set": {"type": "bool"}, }, "type": "dict", }, "delay_route_advertisements": { "options": { "max_delay_route_age": { "type": "int" }, "max_delay_routing_uptime": { "type": "int" }, "min_delay_inbound_convergence": { "type": "int" }, "min_delay_routing_uptime": { "type": "int" }, "set": {"type": "bool"}, }, "type": "dict", }, "entropy_label": { "options": { "import": {"type": "str"}, "no_next_hop_validation": { "type": "bool" }, "set": {"type": "bool"}, }, "type": "dict", }, "explicit_null": { "options": { "connected_only": { "type": "bool" }, "set": {"type": "bool"}, }, "type": "dict", }, "extended_nexthop": {"type": "bool"}, "extended_nexthop_color": { "type": "bool" }, "graceful_restart_forwarding_state_bit": { "choices": ["from-fib", "set"], "type": "str", }, "legacy_redirect_ip_action": { "options": { "receive": {"type": "bool"}, "send": {"type": "bool"}, "set": {"type": "bool"}, }, "type": "dict", }, "local_ipv4_address": {"type": "str"}, "loops": {"type": "int"}, "no_install": {"type": "bool"}, "no_validate": {"type": "str"}, "output_queue_priority_expedited": { "type": "bool" }, "output_queue_priority_priority": { "type": "int" }, "per_group_label": {"type": "bool"}, "per_prefix_label": {"type": "bool"}, "prefix_limit": { "options": { "forever": {"type": "bool"}, "idle_timeout": { "type": "bool" }, "idle_timeout_value": { "type": "int" }, "limit_threshold": { "type": "int" }, "maximum": {"type": "int"}, "teardown": {"type": "bool"}, }, "type": "dict", }, "resolve_vpn": {"type": "bool"}, "rib": { "choices": ["inet.3"], "type": "str", }, "ribgroup_name": {"type": "str"}, "route_refresh_priority_expedited": { "type": "bool" }, "route_refresh_priority_priority": { "type": "int" }, "secondary_independent_resolution": { "type": "bool" }, "set": {"type": "bool"}, "strip_nexthop": {"type": "bool"}, "topology": { "elements": "dict", "options": { "community": { "elements": "str", "type": "list", }, "name": {"type": "str"}, }, "type": "list", }, "traffic_statistics": { "options": { "file": { "options": { "filename": { "type": "str" }, "files": { "type": "int" }, "no_world_readable": { "type": "bool" }, "size": { "type": "int" }, "world_readable": { "type": "bool" }, }, "type": "dict", }, "interval": {"type": "int"}, "labeled_path": { "type": "bool" }, "set": {"type": "bool"}, }, "type": "dict", }, "type": { "choices": [ "any", "flow", "labeled-unicast", "multicast", "segment-routing-te", "unicast", "signaling", "auto-discovery-mspw", "auto-discovery-only", ], "type": "str", }, "withdraw_priority_expedited": { "type": "bool" }, "withdraw_priority_priority": { "type": "int" }, }, "type": "list", }, "afi": { "choices": [ "evpn", "inet", "inet-mdt", "inet-mvpn", "inet-vpn", "inet6", "inet6-mvpn", "inet6-vpn", "iso-vpn", "l2vpn", "route-target", "traffic-engineering", ], "type": "str", }, }, "type": "list", }, "name": {"type": "str"}, "neighbors": { "elements": "dict", "options": { "address_family": { "elements": "dict", "options": { "af_type": { "elements": "dict", "options": { "accepted_prefix_limit": { "options": { "forever": { "type": "bool" }, "idle_timeout": { "type": "bool" }, "idle_timeout_value": { "type": "int" }, "limit_threshold": { "type": "int" }, "maximum": { "type": "int" }, "teardown": { "type": "bool" }, }, "type": "dict", }, "add_path": { "options": { "receive": { "type": "bool" }, "send": { "options": { "include_backup_path": { "type": "int" }, "multipath": { "type": "bool" }, "path_count": { "required": True, "type": "int", }, "path_selection_mode": { "options": { "all_paths": { "type": "bool" }, "equal_cost_paths": { "type": "bool" }, }, "type": "dict", }, "prefix_policy": { "type": "str" }, }, "type": "dict", }, }, "type": "dict", }, "aggregate_label": { "options": { "community": { "type": "str" }, "set": { "type": "bool" }, }, "type": "dict", }, "aigp": { "options": { "disable": { "type": "bool" }, "set": { "type": "bool" }, }, "type": "dict", }, "damping": {"type": "bool"}, "defer_initial_multipath_build": { "options": { "maximum_delay": { "type": "int" }, "set": { "type": "bool" }, }, "type": "dict", }, "delay_route_advertisements": { "options": { "max_delay_route_age": { "type": "int" }, "max_delay_routing_uptime": { "type": "int" }, "min_delay_inbound_convergence": { "type": "int" }, "min_delay_routing_uptime": { "type": "int" }, "set": { "type": "bool" }, }, "type": "dict", }, "entropy_label": { "options": { "import": { "type": "str" }, "no_next_hop_validation": { "type": "bool" }, "set": { "type": "bool" }, }, "type": "dict", }, "explicit_null": { "options": { "connected_only": { "type": "bool" }, "set": { "type": "bool" }, }, "type": "dict", }, "extended_nexthop": { "type": "bool" }, "extended_nexthop_color": { "type": "bool" }, "graceful_restart_forwarding_state_bit": { "choices": [ "from-fib", "set", ], "type": "str", }, "legacy_redirect_ip_action": { "options": { "receive": { "type": "bool" }, "send": { "type": "bool" }, "set": { "type": "bool" }, }, "type": "dict", }, "local_ipv4_address": { "type": "str" }, "loops": {"type": "int"}, "no_install": {"type": "bool"}, "no_validate": {"type": "str"}, "output_queue_priority_expedited": { "type": "bool" }, "output_queue_priority_priority": { "type": "int" }, "per_group_label": { "type": "bool" }, "per_prefix_label": { "type": "bool" }, "prefix_limit": { "options": { "forever": { "type": "bool" }, "idle_timeout": { "type": "bool" }, "idle_timeout_value": { "type": "int" }, "limit_threshold": { "type": "int" }, "maximum": { "type": "int" }, "teardown": { "type": "bool" }, }, "type": "dict", }, "resolve_vpn": { "type": "bool" }, "rib": { "choices": ["inet.3"], "type": "str", }, "ribgroup_name": { "type": "str" }, "route_refresh_priority_expedited": { "type": "bool" }, "route_refresh_priority_priority": { "type": "int" }, "secondary_independent_resolution": { "type": "bool" }, "set": {"type": "bool"}, "strip_nexthop": { "type": "bool" }, "topology": { "elements": "dict", "options": { "community": { "elements": "str", "type": "list", }, "name": { "type": "str" }, }, "type": "list", }, "traffic_statistics": { "options": { "file": { "options": { "filename": { "type": "str" }, "files": { "type": "int" }, "no_world_readable": { "type": "bool" }, "size": { "type": "int" }, "world_readable": { "type": "bool" }, }, "type": "dict", }, "interval": { "type": "int" }, "labeled_path": { "type": "bool" }, "set": { "type": "bool" }, }, "type": "dict", }, "type": { "choices": [ "any", "flow", "labeled-unicast", "multicast", "segment-routing-te", "unicast", "signaling", "auto-discovery-mspw", "auto-discovery-only", ], "type": "str", }, "withdraw_priority_expedited": { "type": "bool" }, "withdraw_priority_priority": { "type": "int" }, }, "type": "list", }, "afi": { "choices": [ "evpn", "inet", "inet-mdt", "inet-mvpn", "inet-vpn", "inet6", "inet6-mvpn", "inet6-vpn", "iso-vpn", "l2vpn", "route-target", "traffic-engineering", ], "type": "str", }, }, "type": "list", }, "neighbor_address": {"type": "str"}, }, "type": "list", }, }, "type": "list", }, }, "type": "dict", }, "running_config": {"type": "str"}, "state": { "choices": [ "merged", "replaced", "overridden", "deleted", "rendered", "gathered", "parsed", ], "default": "merged", "type": "str", }, } # pylint: disable=C0301

58.558659

93

0.144457

1,456

52,410

4.993132

0.152473

0.128748

0.059422

0.07923

0.915131

0.907978

0.906465

0

0.003002

0.777562

52,410

894

94

58.624161

0.620604

0.011906

0

0.674797

0

0.135692

0.0272

0

1

0.001161

false

0.001161

0.004646

0

0.00813

0.001161

0

null

0

1

0

1

0

null

0

7

832e8297c3514e8c5a13c40b9e560fa2b232e673

11,776

py

Python

weatherdata/notebook.py

godmac/weather

ad95110f0d4838037e56c934e6a96cc90f6bf27d

[ "Apache-2.0" ]

null

weatherdata/notebook.py

godmac/weather

ad95110f0d4838037e56c934e6a96cc90f6bf27d

[ "Apache-2.0" ]

null

weatherdata/notebook.py

godmac/weather

ad95110f0d4838037e56c934e6a96cc90f6bf27d

[ "Apache-2.0" ]

null

#! /usr/bin/python # coding = utf-8 from Tkinter import * class Notebook(Frame): def __init__(self, parent, activerelief = SOLID, inactiverelief = SOLID, xpad = 4, ypad = 4, activefg = 'black',activebg='green',inactivebg='grey',bd=1,inactivefg = 'black', **kw): self.activefg = activefg self.activebg=activebg self.bd=bd self.inactivebg=inactivebg self.inactivefg = inactivefg self.deletedTabs = [] self.xpad = xpad self.ypad = ypad self.activerelief = activerelief self.inactiverelief = inactiverelief self.kwargs = kw self.tabVars = {} self.tabs = 0 self.noteBookFrame = Frame(parent) self.BFrame = Frame(self.noteBookFrame) self.noteBook = Frame(self.noteBookFrame, relief = RAISED, bd = 1, **kw) self.noteBook.grid_propagate(0) Frame.__init__(self) self.noteBookFrame.grid() self.BFrame.grid(row =0, sticky = W) self.noteBook.grid(row = 1, column = 0, columnspan = 27) def add_tab(self, width = 1, **kw): temp = self.tabs self.tabVars[self.tabs] = [Label(self.BFrame, relief = RIDGE, **kw)] self.tabVars[self.tabs][0].bind("<Button-1>", lambda Event:self.change_tab(temp)) self.tabVars[self.tabs][0].pack(side = LEFT, ipady = self.ypad, ipadx = self.xpad) self.tabVars[self.tabs].append(Frame(self.noteBook, **self.kwargs)) self.tabVars[self.tabs][1].grid(row = 0, column = 0) self.change_tab(0) self.tabs += 1 return self.tabVars[temp][1] def change_tab(self, IDNum): for i in (a for a in range(0, len(self.tabVars.keys()))): if not i in self.deletedTabs: if i <> IDNum: self.tabVars[i][1].grid_remove() self.tabVars[i][0]['relief'] = self.inactiverelief self.tabVars[i][0]['fg'] = self.inactivefg self.tabVars[i][0]['bg'] = self.inactivebg self.tabVars[i][0]['bd'] = self.bd else: self.tabVars[i][1].grid() self.tabVars[IDNum][0]['relief'] = self.activerelief self.tabVars[i][0]['fg'] = self.activefg self.tabVars[i][0]['bg'] = self.activebg self.tabVars[i][0]['bd'] = self.bd root=Tk() scheduledimage=PhotoImage(data="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") note=Notebook(root, width= 400, height =400, activefg = 'red', inactivefg = 'blue') note.grid() tab1 = note.add_tab(text = "Tab One",image=scheduledimage) tab2 = note.add_tab(text = "Tab Two") tab3 = note.add_tab(text = "Tab Three") root.mainloop()

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83653be6051c139ff35b1b646caf954226430577

10,739

py

Python

python/dqTools/recordDB.py

WhiteTshirtXI/subgrid

724dfd543c19563bd7874cf952c21f25dd7d1352

[ "MIT" ]

null

python/dqTools/recordDB.py

WhiteTshirtXI/subgrid

724dfd543c19563bd7874cf952c21f25dd7d1352

[ "MIT" ]

3

2018-10-22T08:35:17.000Z

2018-11-07T16:14:36.000Z

python/dqTools/recordDB.py

otbrown/subgrid

724dfd543c19563bd7874cf952c21f25dd7d1352

[ "MIT" ]

1

2020-05-07T07:48:02.000Z

"""A simple library for serializing data to disk and allowing random access. Probably best not to use this-- either straightforward pickling or a "proper" scientific format like netCDF or HDF. I don't think any subgrid runs use this, but I can't be sure. """ import cPickle import os.path # i.e. 0.5GB MAXFILESIZE = 2**29 VERSION = 3 def new(name): """Factory function that creates a new RecordDB with filename name.""" rdb = RecordDB() rdb.new(name) return rdb def open(name, readonly=False): """Factory function that opens an existing RecordDB with filename name.""" ver = _versionCheck(name) assert ver <= VERSION if ver == 1: rdb = RecordDB_V1() elif ver == 2: rdb = RecordDB_V2() else: rdb = RecordDB() rdb.open(name, readonly) return rdb def _versionCheck(name): name = os.path.abspath(name) assert os.path.exists(name) assert os.path.isdir(name) v = 1 for f in os.listdir(name): (base,ext) = os.path.splitext(f) if base == 'version': v = int(ext[1:]) break continue return v class RecordDB_V3(object): """Class that wraps an indexed store of records. Slightly altered to append only, making it suitable for use with auto-checkpointing!""" def __init__(self): self.version = 3 self.readonly = False return def new(self, name): """Initialises a new RDB.""" name = os.path.abspath(name) assert not os.path.exists(name) self.name = name os.mkdir(name) file(os.path.join(name, 'version.%d' % self.version), 'w').close() self.map = [] self.mapFN = os.path.join(name, 'map.dat') file(self.mapFN, 'w').close() return def open(self, name, readonly): """Opens an existing RDB.""" name = os.path.abspath(name) assert os.path.exists(name) assert os.path.isdir(name) self.name = name self.mapFN = os.path.join(self.name, 'map.dat') assert os.path.exists(self.mapFN) assert os.path.isfile(self.mapFN) self.loadMap() self.readonly = readonly return def __len__(self): return len(self.map) def __getitem__(self, key): if type(key) is int: (fn, posn, tag) = self.map[key] else: found = [] for entry in self.map: (fn, posn, tag) = entry if tag == key: found.append(entry) pass continue if len(found) == 0: raise KeyError(key) if len(found) > 1: raise KeyError("Duplicate keys cannot be searched for!") (fn, posn, tag) = found[0] f = file(os.path.join(self.name,fn), 'rb') try: f.seek(posn) p = cPickle.Unpickler(f) return p.load() finally: f.close() def append(self, item, tag=None): """Appends item to the DB.""" assert self.readonly == False fn = self.chooseFile(item) f = file(os.path.join(self.name,fn), 'ab') try: posn = f.tell() p = cPickle.Pickler(f, protocol=2) p.dump(item) finally: f.close() # update the map self.map.append((fn, posn, tag)) mapfile = file(self.mapFN, 'ab') cPickle.dump((fn, posn, tag), mapfile, protocol=2) mapfile.close() return def __setitem__(self, key, value): raise NotImplementedError def loadMap(self): """Loads the map from the mapfile.""" f = file(self.mapFN, 'rb') self.map = [] while True: try: self.map.append(cPickle.load(f)) except EOFError: break f.close() return def chooseFile(self, item): """Selects the filename to which to write the next object.""" # get the last file if len(self.map) == 0: fn = "000000.dat" else: (fn, posn, tag) = self.map[-1] sizeB = os.path.getsize(os.path.join(self.name,fn)) if sizeB > MAXFILESIZE: ind = int(fn[:6]) + 1 assert ind <= 999999 fn = "%.6d.dat" % ind return fn class RecordDB_V2(object): """Class that wraps an indexed store of records.""" def __init__(self): self.readonly = False return def new(self, name): """Initialises a new RDB.""" name = os.path.abspath(name) assert not os.path.exists(name) self.name = name os.mkdir(name) file(os.path.join(name, 'version.%d' % 2), 'w').close() self.version = 2 self.map = [] self.mapFN = os.path.join(name, 'map.dat') self.dumpMap() return def open(self, name, readonly): """Opens an existing RDB.""" name = os.path.abspath(name) assert os.path.exists(name) assert os.path.isdir(name) self.name = name self.mapFN = os.path.join(self.name, 'map.dat') assert os.path.exists(self.mapFN) assert os.path.isfile(self.mapFN) self.loadMap() self.readonly = readonly return def __len__(self): return len(self.map) def __getitem__(self, key): if type(key) is int: (fn, posn, tag) = self.map[key] else: found = [] for entry in self.map: (fn, posn, tag) = entry if tag == key: found.append(entry) pass continue if len(found) == 0: raise KeyError(key) if len(found) > 1: raise KeyError("Duplicate keys cannot be searched for!") (fn, posn, tag) = found[0] f = file(os.path.join(self.name,fn), 'rb') try: f.seek(posn) p = cPickle.Unpickler(f) return p.load() finally: f.close() def append(self, item, tag=None): """Appends item to the DB.""" assert self.readonly == False fn = self.chooseFile(item) f = file(os.path.join(self.name,fn), 'ab') try: posn = f.tell() p = cPickle.Pickler(f, protocol=2) p.dump(item) finally: f.close() # update the map self.map.append((fn, posn, tag)) self.dumpMap() return def __setitem__(self, key, value): raise NotImplementedError def dumpMap(self): """Writes the map to the mapfile.""" f = file(self.mapFN, 'wb') try: p = cPickle.Pickler(f, protocol=2) p.dump(self.map) finally: f.close() return def loadMap(self): """Loads the map from the mapfile.""" f = file(self.mapFN, 'rb') try: p = cPickle.Unpickler(f) self.map = p.load() finally: f.close() return def chooseFile(self, item): """Selects the filename to which to write the next object.""" # get the last file if len(self.map) == 0: fn = "000000.dat" else: (fn, posn, tag) = self.map[-1] sizeB = os.path.getsize(os.path.join(self.name,fn)) if sizeB > MAXFILESIZE: ind = int(fn[:6]) + 1 assert ind <= 999999 fn = "%.6d.dat" % ind return fn class RecordDB_V1(object): """Class that wraps an indexed store of records.""" def __init__(self): self.readonly = False return def new(self, name): """Initialises a new RDB.""" name = os.path.abspath(name) assert not os.path.exists(name) self.name = name os.mkdir(name) self.map = [] self.mapFN = os.path.join(name, 'map.dat') self.dumpMap() return def open(self, name, readonly): """Opens an existing RDB.""" name = os.path.abspath(name) assert os.path.exists(name) assert os.path.isdir(name) self.name = name self.mapFN = os.path.join(self.name, 'map.dat') assert os.path.exists(self.mapFN) assert os.path.isfile(self.mapFN) self.loadMap() self.readonly = readonly return def __len__(self): return len(self.map) def __getitem__(self, key): (fn, posn) = self.map[key] f = file(os.path.join(self.name,fn), 'rb') try: f.seek(posn) p = cPickle.Unpickler(f) return p.load() finally: f.close() def append(self, item): """Appends item to the DB.""" assert self.readonly == False fn = self.chooseFile(item) f = file(os.path.join(self.name,fn), 'ab') try: posn = f.tell() p = cPickle.Pickler(f, protocol=2) p.dump(item) finally: f.close() # update the map self.map.append((fn, posn)) self.dumpMap() return def __setitem__(self, key, value): raise NotImplementedError def dumpMap(self): """Writes the map to the mapfile.""" f = file(self.mapFN, 'wb') try: p = cPickle.Pickler(f, protocol=2) p.dump(self.map) finally: f.close() return def loadMap(self): """Loads the map from the mapfile.""" f = file(self.mapFN, 'rb') try: p = cPickle.Unpickler(f) self.map = p.load() finally: f.close() return def chooseFile(self, item): """Selects the filename to which to write the next object.""" # get the last file if len(self.map) == 0: fn = "000000.dat" else: (fn, posn) = self.map[-1] sizeB = os.path.getsize(os.path.join(self.name,fn)) if sizeB > MAXFILESIZE: ind = int(fn[:6]) + 1 assert ind <= 999999 fn = "%.6d.dat" % ind return fn pass RecordDB = RecordDB_V3

26.71393

78

0.495763

1,280

10,739

4.115625

0.142969

0.052392

0.03227

0.031891

0.812642

0.794609

0

0.012424

0.385418

10,739

401

79

26.780549

0.785758

0.11705

0

0.863014

0

0.024171

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0.082192

1

0.109589

false

0.010274

0.006849

0.010274

0.226027

0

null

0

1

0

1

0

null

0

7

55e0cc112266db53f5499fa90a7d42f520af95c8

160

py

Python

hass/triggers.py

drejkim/potter-pi

c900cf82877b0ef462f999e1620523b845faf45c

[ "MIT" ]

5

2019-10-21T20:29:23.000Z

2019-12-13T23:34:46.000Z

hass/triggers.py

drejkim/potter-pi

c900cf82877b0ef462f999e1620523b845faf45c

[ "MIT" ]

8

2020-09-25T19:51:22.000Z

2022-02-10T00:29:04.000Z

hass/triggers.py

estherjk/potter-pi

c900cf82877b0ef462f999e1620523b845faf45c

[ "MIT" ]

null

triggers = { 'lumos': 'automation.potter_pi_spell_lumos', 'nox': 'automation.potter_pi_spell_nox', 'revelio': 'automation.potter_pi_spell_revelio' }

32

51

0.725

19

160

5.631579

0.421053

0.448598

0.504673

0.64486

0

0.13125

160

5

52

32

0.769784

0

0.689441

0.596273

0

1

0

false

0

1

0

null

1

0

1

0

1

null

0

7

36306d9af175e649b8e9ba89c460c4df1038467f

117

py

Python

Beginner/2172.py

LorranSutter/URI-Online-Judge

aef885b9a7caa83484cf172e29eea8ec92fc3627

[ "MIT" ]

null

Beginner/2172.py

LorranSutter/URI-Online-Judge

aef885b9a7caa83484cf172e29eea8ec92fc3627

[ "MIT" ]

null

Beginner/2172.py

LorranSutter/URI-Online-Judge

aef885b9a7caa83484cf172e29eea8ec92fc3627

[ "MIT" ]

null

X, M = tuple(map(int,input().split())) while X != 0 or M != 0: print(X*M) X, M = tuple(map(int,input().split()))

19.5

40

0.547009

23

117

2.782609

0.478261

0.09375

0.21875

0.3125

0.71875

0

0.020833

0.179487

117

5

41

23.4

0.645833

0

0.5

0

1

0

true

0

0.25

1

0

null

0

1

0

1

0

1

0

null

0

1

0

7

3640f43e6e97b1279d048873fb4e3a64fbfb7ac9

6,244

py

Python

code/week0/ship.py

aaditgupta21/aaditgupta-tri3

b37b113fd0c911e1f12163b3c037d4a2d750602d

[ "MIT" ]

null

code/week0/ship.py

aaditgupta21/aaditgupta-tri3

b37b113fd0c911e1f12163b3c037d4a2d750602d

[ "MIT" ]

4

2022-03-14T21:08:38.000Z

2022-03-28T21:14:59.000Z

code/week0/ship.py

aaditgupta21/aaditgupta-tri3

b37b113fd0c911e1f12163b3c037d4a2d750602d

[ "MIT" ]

2

2022-03-17T21:35:49.000Z

2022-03-28T06:27:41.000Z

#prefuncy.py import time import os Color34 = "\u001b[34m" Color37 = "\u001b[37m" # As you can see, its not very optimal def ship1(): print(" |\ ") print(" |/ ") print("\__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship2(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship3(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship4(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship5(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship6(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship7(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship8(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship9(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship10(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship11(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship12(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship13(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship14(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship15(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship16(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship17(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship18(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ \u001b[37m") def ship19(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") def ship20(): print(" |\ ") print(" |/ ") print(" \__ |__/ ") print(" \____/ ") print("\u001b[34m -------------------------------------------- \u001b[37m") os.system("clear") time.sleep(.1) ship1() time.sleep(.5) os.system("clear") ship2() time.sleep(.5) os.system("clear") ship3() time.sleep(.5) os.system("clear") ship4() time.sleep(.5) os.system("clear") ship5() time.sleep(.5) os.system("clear") ship6() time.sleep(.5) os.system("clear") ship7() time.sleep(.5) os.system("clear") ship8() time.sleep(.5) os.system("clear") ship9() time.sleep(.5) os.system("clear") ship10() time.sleep(.5) os.system("clear") ship11() time.sleep(.5) os.system("clear") ship12() time.sleep(.5) os.system("clear") ship13() time.sleep(.5) os.system("clear") ship14() time.sleep(.5) os.system("clear") ship15() time.sleep(.5) os.system("clear") ship16() time.sleep(.5) os.system("clear") ship17() time.sleep(.5) os.system("clear") ship18() time.sleep(.5) os.system("clear") ship19() time.sleep(.5) os.system("clear") ship20() time.sleep(.5) os.system("clear") print("or so you thought...") time.sleep(.5) os.system("clear")

26.570213

79

0.299968

397

6,244

4.314861

0.120907

0.467017

0.525394

0.467017

0.793929

0.511967

0.488033

0

0.07985

0.402306

6,244

234

80

26.683761

0.379153

0.007687

0

0.756614

0

0.582916

0.142096

0

1

0.10582

false

0

0.010582

0

0.116402

0.534392

0

null

1

0

1

0

1

0

1

0

null

0

1

0

7

364e33cdd0396009d1d801788153717ed9c495b5

9,026

py

Python

userbot/plugins/maskit.py

justteen/BUZZ-USERBOT

55651cce150e1d04d2c61efb2565ef9f46b42933

[ "BSL-1.0" ]

null

userbot/plugins/maskit.py

justteen/BUZZ-USERBOT

55651cce150e1d04d2c61efb2565ef9f46b42933

[ "BSL-1.0" ]

null

userbot/plugins/maskit.py

justteen/BUZZ-USERBOT

55651cce150e1d04d2c61efb2565ef9f46b42933

[ "BSL-1.0" ]

null

""" Kanged from Dark Cobra userbot thanks to hellboy atul and his team """ import os from PIL import Image from userbot.utils import lightning_cmd if not os.path.isdir("./dcobra/"): os.makedirs("./dcobra/") # made by @THE_B_LACK_HAT Some errors solved by Sh1vam @borg.on(lightning_cmd(pattern=r".cmask")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) linc = event.text link = linc[7:] pic = linc[31:] import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system(f"wget {link}") imagePath = lol maskPath = f"{pic}" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".ppro")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/f061c861ba85fbb23a51e.png") imagePath = lol maskPath = "f061c861ba85fbb23a51e.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "pro.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".oxy")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/df2d739544595ae337642.png") imagePath = lol maskPath = "df2d739544595ae337642.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".gold")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/4cc40d1e0846667488341.png") imagePath = lol maskPath = "4cc40d1e0846667488341.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".old")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/55fcb205c6f8f4790585e.png") imagePath = lol maskPath = "55fcb205c6f8f4790585e.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".krish")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/54d2a267d411951b41a20.png") imagePath = lol maskPath = "54d2a267d411951b41a20.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete() @borg.on(lightning_cmd(pattern=r".cprotect")) async def scan(event): path = "dcobra" await event.edit("HeHe He Wants A Mask 🤪") reply = await event.get_reply_message() lol = await borg.download_media(reply.media, path) import cv2 os.system( "wget https://datreon.000webhostapp.com/haarcascade_frontalface_default.xml" ) os.system("wget https://telegra.ph/file/b934a713abb321bd1a9fe.png") imagePath = lol maskPath = "b934a713abb321bd1a9fe.png" cascPath = "haarcascade_frontalface_default.xml" faceCascade = cv2.CascadeClassifier(cascPath) image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = faceCascade.detectMultiScale(gray, 1.15) background = Image.open(imagePath) for (x, y, w, h) in faces: mask = Image.open(maskPath) mask = mask.resize((w, h), Image.ANTIALIAS) offset = (x, y) background.paste(mask, offset, mask=mask) file_name = "old.png" hehe = path + "/" + file_name background.save(hehe, "PNG") await borg.send_file(event.chat_id, hehe) for files in (hehe, lol): if files and os.path.exists(files): os.remove(files) await event.delete()

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0

0.037185

0.225349

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85

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0.790332

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null

0

1

0

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null

0

7

367b4206d0a7c802cde179041a8c565c2a07954c

17

py

Python

tests/inputs/if-branching/17-mergin-with-nonexistent.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

4

2019-10-06T18:01:24.000Z

2020-07-03T05:27:35.000Z

tests/inputs/if-branching/17-mergin-with-nonexistent.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

5

2021-06-07T15:50:04.000Z

2021-06-07T15:50:06.000Z

tests/inputs/if-branching/17-mergin-with-nonexistent.py

helq/pytropos

497ed5902e6e4912249ca0a46b477f9bfa6ae80a

[ "MIT" ]

null

if _: l = 21

5.666667

10

0.352941

3

17

1.666667

1

0

0.25

0.529412

17

2

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8.5

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1

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false

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1

null

0

1

0

1

0

1

0

null

0

7

36844291ff3d0cd8be56a3c30b58711ae344f700

5,892

py

Python

muarch/funcs/moments.py

DanielBok/muarch

c9bf60e3e029a443646fa35479ca2ed0dd23c31e

[ "MIT" ]

14

2019-03-14T10:10:17.000Z

2022-01-31T19:44:24.000Z

muarch/funcs/moments.py

DanielBok/muarch

c9bf60e3e029a443646fa35479ca2ed0dd23c31e

[ "MIT" ]

2

2020-04-30T13:35:42.000Z

2021-08-12T07:52:06.000Z

muarch/funcs/moments.py

DanielBok/muarch

c9bf60e3e029a443646fa35479ca2ed0dd23c31e

[ "MIT" ]

11

2019-05-27T15:55:10.000Z

2021-06-25T16:59:32.000Z

from typing import Union import numpy as np from scipy.stats import kurtosis, skew from .time_unit import get_integer_time_unit __all__ = ["get_annualized_kurtosis", "get_annualized_mean", "get_annualized_sd", "get_annualized_skew"] def get_annualized_kurtosis(data: np.ndarray, time_unit: Union[int, str] = 'monthly') -> Union[float, np.ndarray]: """ Gets the annualized kurtosis for each asset class in the data cube Parameters ---------- data Data matrix or tensor. The axis must represent time, trials and assets respectively where the assets axis is valid only if the data is a tensor. time_unit: int or str Specifies how many units (first axis) is required to represent a year. For example, if each time period represents a month, set this to 12. If quarterly, set to 4. Defaults to 12 which means 1 period represents a month. Alternatively, you could put in a string name of the time_unit. Accepted values are weekly, monthly, quarterly, semi-annually and yearly Returns ------- ndarray The annualized kurtosis for the asset class or an array containing the annualized kurtosis for each asset class. """ return np.mean([kurtosis(i) for i in annualize_data(data, time_unit)], 0) def get_annualized_mean(data: np.ndarray, time_unit: Union[int, str] = 'monthly') -> Union[float, np.ndarray]: """ Gets the annualized mean for each asset class in the data cube Parameters ---------- data Data matrix or tensor. The axis must represent time, trials and assets respectively where the assets axis is valid only if the data is a tensor. time_unit: int or str Specifies how many units (first axis) is required to represent a year. For example, if each time period represents a month, set this to 12. If quarterly, set to 4. Defaults to 12 which means 1 period represents a month. Alternatively, you could put in a string name of the time_unit. Accepted values are weekly, monthly, quarterly, semi-annually and yearly Returns ------- float or ndarray The annualized mean for the asset class or an array containing the annualized mean for each asset class. """ time_unit = get_integer_time_unit(time_unit) years = len(data) // time_unit data = (annualize_data(data, time_unit) + 1).prod(0) return np.mean(np.sign(data) * np.abs(data) ** (1 / years), 0) - 1 def get_annualized_sd(data: np.ndarray, time_unit: Union[int, str] = 'monthly') -> Union[float, np.ndarray]: """ Gets the annualized standard deviation for each asset class in the data cube Parameters ---------- data Data matrix or tensor. The axis must represent time, trials and assets respectively where the assets axis is valid only if the data is a tensor. time_unit: int or str Specifies how many units (first axis) is required to represent a year. For example, if each time period represents a month, set this to 12. If quarterly, set to 4. Defaults to 12 which means 1 period represents a month. Alternatively, you could put in a string name of the time_unit. Accepted values are weekly, monthly, quarterly, semi-annually and yearly Returns ------- float ndarray The annualized standard deviation (volatility) for the asset class or an array containing the annualized standard deviation for each asset class. """ return annualize_data(data, time_unit).std(1).mean(0) def get_annualized_skew(data: np.ndarray, time_unit: Union[int, str] = 'monthly') -> Union[float, np.ndarray]: """ Gets the annualized skew for each asset class in the data cube Parameters ---------- data Data matrix or tensor. The axis must represent time, trials and assets respectively where the assets axis is valid only if the data is a tensor. time_unit: int or str Specifies how many units (first axis) is required to represent a year. For example, if each time period represents a month, set this to 12. If quarterly, set to 4. Defaults to 12 which means 1 period represents a month. Alternatively, you could put in a string name of the time_unit. Accepted values are weekly, monthly, quarterly, semi-annually and yearly Returns ------- float or ndarray The annualized skew for the asset class or an array containing the annualized skew for each asset class. """ return np.mean([skew(i) for i in annualize_data(data, time_unit)], 0) def annualize_data(data: np.ndarray, time_unit: Union[str, int]) -> np.ndarray: """ Annualizes the data. Note that the dimension of the data will change from this transformation Parameters ---------- data Data matrix or tensor. The axis must represent time, trials and assets respectively where the assets axis is valid only if the data is a tensor. time_unit: int or str Specifies how many units (first axis) is required to represent a year. For example, if each time period represents a month, set this to 12. If quarterly, set to 4. Defaults to 12 which means 1 period represents a month. Alternatively, you could put in a string name of the time_unit. Accepted values are weekly, monthly, quarterly, semi-annually and yearly Returns ------- ndarray The annualized data. """ data = np.asarray(data) time_unit = get_integer_time_unit(time_unit) assert data.ndim in (2, 3), "data must be 2 or 3 dimensional" if data.ndim == 2: t, n = data.shape return (data.reshape((t // time_unit, time_unit, n)) + 1).prod(1) - 1 else: t, n, a = data.shape return (data.reshape((t // time_unit, time_unit, n, a)) + 1).prod(1) - 1

40.634483

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null

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null

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7

36c35ae84774de6132db9626e3e3eca1b1ecd0c2

58,083

py

Python

lib/load_mersi.py

NingAnMe/snow_cover_of_remote_sensing

aabd0f4754eb5200203fc8a90f06b603dcd260a8

[ "Apache-2.0" ]

1

2020-08-19T08:34:53.000Z

lib/load_mersi.py

NingAnMe/snow_cover_of_remote_sensing

aabd0f4754eb5200203fc8a90f06b603dcd260a8

[ "Apache-2.0" ]

null

lib/load_mersi.py

NingAnMe/snow_cover_of_remote_sensing

aabd0f4754eb5200203fc8a90f06b603dcd260a8

[ "Apache-2.0" ]

1

2020-07-01T16:32:15.000Z

# -*- coding: utf-8 -*- from datetime import datetime import os import re import h5py from lib.pb_io import attrs2dict from lib.pb_sat import planck_r2t from lib.read_base import ReadL1 import numpy as np import pandas as pd __description__ = 'MERSI传感器读取类' __author__ = 'wangpeng' __date__ = '2018-08-28' __version__ = '1.0.0_beat' g_main_path, g_main_file = os.path.split(os.path.realpath(__file__)) class ReadMersiL1(ReadL1): """ 读取 MERSI 传感器的 L1 数据分辨率：1000m 卫星： [FY3A FY3B FY3C] 通道数量：20 可见光通道：1,2,3,4,6~20 红外通道：5 分辨率：1000m 卫星： [FY3D] 通道数量：25 可见光通道：1~20 红外通道：20~25 分辨率：250 卫星：通道数量：可见光通道：红外通道： """ def __init__(self, in_file, geo_file=None, cloud_file=None, in_ir_file=None, in_vis_file=None, coef_txt_flag=None): sensor = 'MERSI' self.in_ir_file = in_ir_file self.in_vis_file = in_vis_file self.coef_txt_flag = coef_txt_flag super(ReadMersiL1, self).__init__(in_file, sensor) self.geo_file = geo_file self.cloud_file = cloud_file def set_resolution(self): """ use filename set self.resolution :return: """ file_name = os.path.basename(self.in_file) if '1000M' in file_name: self.resolution = 1000 else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) def set_satellite(self): """ use filename set self.satellite :return: """ file_name = os.path.basename(self.in_file) pattern = r'([A-Z0-9]+)_%s.*' % self.sensor m = re.match(pattern, file_name) if m: self.satellite = m.groups()[0] else: raise ValueError('Cant get the satellite name from file name.') def set_ymd_hms(self): """ use filename set self.ymd self.hms """ file_name = os.path.basename(self.in_file) pat = '\w{4}_\w{5}_\w{4}_L1_(\d{8})_(\d{4})_\w{5}_MS.HDF$' g = re.match(pat, file_name) if g: self.ymd = g.group(1) self.hms = g.group(2) + '00' else: raise ValueError('Cant get the ymdhms from file name.') def set_file_attr(self): """ get hdf5 file attrs self.file_attr :return: """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: with h5py.File(self.in_file, 'r') as h5r: self.file_attr = attrs2dict(h5r.attrs) else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( "Cant handle this resolution: ".format(self.resolution)) def set_data_shape(self): """ use dataset set self.data_shape :return: """ # 如果分辨率是 1000 米 if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: self.data_shape = (2000, 2048) else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # elif self.resolution == 250: else: raise ValueError( "Cant handle this resolution: ".format(self.resolution)) def set_channels(self): """ return sensor channels """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] if self.satellite in satellite_type1: self.channels = 20 elif self.satellite in satellite_type2: self.channels = 25 # elif self.resolution == 250: else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) def __get_geo_file(self): """ return 定位文件 """ if self.geo_file is not None: return self.geo_file else: if self.resolution == 1000: satellite_type1 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: geo_file = self.in_file[:-12] + 'GEO1K_MS.HDF' else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( "Cant handle this resolution: ".format(self.resolution)) return geo_file def __get_clm_file(self): """ return 定位文件 """ if self.cloud_file is not None: return self.cloud_file else: if self.resolution == 1000: satellite_type1 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: clm_file = self.in_file.replace( 'GBAL_L1', 'ORBT_L2_CLM_MLT_NUL') else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( "Cant handle this resolution: ".format(self.resolution)) return clm_file def get_cloudmask(self): data = None clm_flag = np.full(self.data_shape, -999) if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: in_file = self.__get_clm_file() with h5py.File(in_file, 'r') as h5r: data_pre = h5r.get('Cloud_Mask')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 z = data_pre[0, :, :] # 0 表示无效值 z0 = z & 0b1 z12 = (z >> 1) & 0b11 z4 = (z >> 4) & 0b1 z67 = (z >> 6) & 0b11 # Invalid 0 mask = (z == 0) idx = np.where(mask) clm_flag[idx] = 0 # Coastlines mask = (z67 == 0b01) idx = np.where(mask) clm_flag[idx] = 1 # Uncertain mask = (z12 == 0b01) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 2 # Cloud mask = (z12 == 0b00) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 3 # Poss Land Clear mask = ((z67 == 0b11) | (z67 == 0b10)) & ( z12 == 0b10) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 4 # Land Clear mask = ((z67 == 0b11) | (z67 == 0b10)) & ( z12 == 0b11) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 5 # Poss Sea Clear mask = (z67 == 0b00) & (z12 == 0b10) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 6 # Sea Clear mask = (z67 == 0b00) & (z12 == 0b11) & (z4 == 0b1) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 7 # Sun Glint mask = (z67 == 0b00) & (z12 == 0b11) & (z4 == 0b0) & (z0 == 0b1) idx = np.where(mask) clm_flag[idx] = 8 data = clm_flag return data def get_dn(self): """ return DN """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C'] satellite_type3 = ['FY3D'] if self.satellite in satellite_type1: data_file = self.in_file with h5py.File(data_file, 'r') as h5r: ary_ch1 = h5r.get('/EV_250_Aggr.1KM_RefSB')[:] ary_ch5 = h5r.get('/EV_250_Aggr.1KM_Emissive')[:] ary_ch6 = h5r.get('/EV_1KM_RefSB')[:] vmin = 0 vmax = 10000 # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 4: k = i data_pre = ary_ch1[k] # 开始处理 elif i == 4: data_pre = ary_ch5 else: k = i - 5 data_pre = ary_ch6[k] data_pre = data_pre.astype(np.float32) invalid_index = np.logical_or( data_pre <= vmin, data_pre > vmax) data_pre[invalid_index] = np.nan data[band] = data_pre elif self.satellite in satellite_type2: data_file = self.in_file with h5py.File(data_file, 'r') as h5r: ary_ch1 = h5r.get('/Data/EV_250_Aggr.1KM_RefSB')[:] ary_ch5 = h5r.get('/Data/EV_250_Aggr.1KM_Emissive')[:] ary_ch6 = h5r.get('/Data/EV_1KM_RefSB')[:] vmin = 0 vmax = 10000 # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 4: k = i data_pre = ary_ch1[k] # 开始处理 elif i == 4: data_pre = ary_ch5 else: k = i - 5 data_pre = ary_ch6[k] data_pre = data_pre.astype(np.float32) invalid_index = np.logical_or( data_pre <= vmin, data_pre > vmax) data_pre[invalid_index] = np.nan data[band] = data_pre elif self.satellite in satellite_type3: data_file = self.in_file with h5py.File(data_file, 'r') as h5r: ary_ch1_4 = h5r.get('/Data/EV_250_Aggr.1KM_RefSB')[:] ary_ch5_19 = h5r.get('/Data/EV_1KM_RefSB')[:] ary_ch20_23 = h5r.get('/Data/EV_1KM_Emissive')[:] ary_ch24_25 = h5r.get('/Data/EV_250_Aggr.1KM_Emissive')[:] vmin = 0 vmax = 65000 # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 4: k = i data_pre = ary_ch1_4[k] # 开始处理 elif i >= 4 and i < 19: k = i - 4 data_pre = ary_ch5_19[k] elif i >= 19 and i < 23: k = i - 19 data_pre = ary_ch20_23[k] else: k = i - 23 data_pre = ary_ch24_25[k] data_pre = data_pre.astype(np.float32) invalid_index = np.logical_or( data_pre <= vmin, data_pre > vmax) data_pre[invalid_index] = np.nan data[band] = data_pre else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_k0_from_txt(self): k0_vis = k0_ir = None if self.in_vis_file is not None: k0_k1_vis_df = pd.read_table(self.in_vis_file, sep='\t') k0_vis = k0_k1_vis_df.iloc[:, [0, 1]].to_numpy() if self.in_ir_file is not None: k0_k1_ir_df = pd.read_table(self.in_ir_file, sep='\t') k0_ir = k0_k1_ir_df.iloc[:, [0, 1]].to_numpy() return k0_vis, k0_ir def get_k1_from_txt(self): k1_vis = k1_ir = None if self.in_vis_file is not None: k0_k1_vis_df = pd.read_table(self.in_vis_file, sep='\t') k1_vis = k0_k1_vis_df.iloc[:, [0, 2]].to_numpy() if self.in_ir_file is not None: k0_k1_ir_df = pd.read_table(self.in_ir_file, sep='\t') k1_ir = k0_k1_ir_df.iloc[:, [0, 2]].to_numpy() return k1_vis, k1_ir def get_k2_from_txt(self): k2_vis = k2_ir = None if self.in_vis_file is not None: k0_k1_vis_df = pd.read_table(self.in_vis_file, sep='\t') k2_vis = k0_k1_vis_df.iloc[:, [0, 3]].to_numpy() if self.in_ir_file is not None: k0_k1_ir_df = pd.read_table(self.in_ir_file, sep='\t') k2_ir = k0_k1_ir_df.iloc[:, [0, 3]].to_numpy() return k2_vis, k2_ir def get_k0(self): """ return K0 """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C'] satellite_type3 = ['FY3D'] # FY3AB if self.satellite in satellite_type1: # vis_k, 54 = 19*3 （19通道 3个系数） ary_vis_coeff = self.file_attr['VIR_Cal_Coeff'] K = np.full((19, 3), 0.) for i in range(19): for j in range(3): K[i, j] = ary_vis_coeff[i * 3 + j] # 变成20*3 k0,k1,k2 values = np.array([0, 1, 0]) K = np.insert(K, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 0], dtype=np.float32) data[band] = channel_data # FY3C elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 19*3 变成20*3 红外通道给定值不影响原dn值 values = np.array([0, 1, 0]) K = np.insert(ary_vis_coeff, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 0], dtype=np.float32) data[band] = channel_data # FY3D elif self.satellite in satellite_type3: with h5py.File(self.in_file, 'r') as h5r: ary_ir_coeff = h5r.get('/Calibration/IR_Cal_Coeff')[:] ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 转维度 s = self.data_shape ary_vis_coeff1 = np.repeat( ary_vis_coeff[:, 0], s[0] * s[1]) ary_ir_coeff1 = np.repeat( ary_ir_coeff[:, 0, :], 10 * s[1], axis=1) # 转维度 19*2000*2048，6*2000*2048 ary_vis_coeff2 = ary_vis_coeff1.reshape( (-1,) + self.data_shape) ary_ir_coeff2 = ary_ir_coeff1.reshape( (-1,) + self.data_shape) # 逐个通道处理 s = self.data_shape for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 19: k = i data[band] = ary_vis_coeff2[k] else: k = i - 19 data[band] = ary_ir_coeff2[k] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) if self.coef_txt_flag: # 在这处理，达到的效果是，如果有某些通道不需要重新定标也可以处理 k0_vis, k0_ir = self.get_k0_from_txt() if k0_vis is not None: for channel_name, k0 in k0_vis: if channel_name in data: data[channel_name][:] = k0 if k0_ir is not None: for channel_name, k0 in k0_vis: if channel_name in data: data[channel_name][:] = k0 else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_k1(self): """ return K1 """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C'] satellite_type3 = ['FY3D'] # FY3AB if self.satellite in satellite_type1: # vis_k, 54 = 19*3 （19通道 3个系数） ary_vis_coeff = self.file_attr['VIR_Cal_Coeff'] K = np.full((19, 3), 0.) for i in range(19): for j in range(3): K[i, j] = ary_vis_coeff[i * 3 + j] # 变成20*3 k0,k1,k2 values = np.array([0, 1, 0]) K = np.insert(K, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 1], dtype=np.float32) data[band] = channel_data # FY3C elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 19*3 变成20*3 红外通道给定值不影响原dn值 values = np.array([0, 1, 0]) K = np.insert(ary_vis_coeff, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 1], dtype=np.float32) data[band] = channel_data # FY3D elif self.satellite in satellite_type3: with h5py.File(self.in_file, 'r') as h5r: ary_ir_coeff = h5r.get('/Calibration/IR_Cal_Coeff')[:] ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 转维度 s = self.data_shape ary_vis_coeff1 = np.repeat( ary_vis_coeff[:, 1], s[0] * s[1]) ary_ir_coeff1 = np.repeat( ary_ir_coeff[:, 1, :], 10 * s[1], axis=1) # 转维度 19*2000*2048，6*2000*2048 ary_vis_coeff2 = ary_vis_coeff1.reshape( (-1,) + self.data_shape) ary_ir_coeff2 = ary_ir_coeff1.reshape( (-1,) + self.data_shape) # 逐个通道处理 s = self.data_shape for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 19: k = i data[band] = ary_vis_coeff2[k] else: k = i - 19 data[band] = ary_ir_coeff2[k] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) if self.coef_txt_flag: # 在这处理，达到的效果是，如果有某些通道不需要重新定标也可以处理 k1_vis, k1_ir = self.get_k1_from_txt() if k1_vis is not None: for channel_name, k1 in k1_vis: if channel_name in data: data[channel_name][:] = k1 if k1_ir is not None: for channel_name, k1 in k1_vis: if channel_name in data: data[channel_name][:] = k1 else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_k2(self): """ return K2 """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C'] satellite_type3 = ['FY3D'] # FY3AB if self.satellite in satellite_type1: # vis_k, 54 = 19*3 （19通道 3个系数） ary_vis_coeff = self.file_attr['VIR_Cal_Coeff'] K = np.full((19, 3), 0.) for i in range(19): for j in range(3): K[i, j] = ary_vis_coeff[i * 3 + j] # 变成20*3 k0,k1,k2 values = np.array([0, 1, 0]) K = np.insert(K, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 2], dtype=np.float32) data[band] = channel_data # FY3C elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 19*3 变成20*3 红外通道给定值不影响原dn值 values = np.array([0, 1, 0]) K = np.insert(ary_vis_coeff, 4, values, 0) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) # k0 channel_data = np.full( self.data_shape, K[i, 2], dtype=np.float32) data[band] = channel_data # FY3D elif self.satellite in satellite_type3: with h5py.File(self.in_file, 'r') as h5r: ary_ir_coeff = h5r.get('/Calibration/IR_Cal_Coeff')[:] ary_vis_coeff = h5r.get('/Calibration/VIS_Cal_Coeff')[:] # 转维度 s = self.data_shape ary_vis_coeff1 = np.repeat( ary_vis_coeff[:, 2], s[0] * s[1]) ary_ir_coeff1 = np.repeat( ary_ir_coeff[:, 2, :], 10 * s[1], axis=1) # 转维度 19*2000*2048，6*2000*2048 ary_vis_coeff2 = ary_vis_coeff1.reshape( (-1,) + self.data_shape) ary_ir_coeff2 = ary_ir_coeff1.reshape( (-1,) + self.data_shape) # 逐个通道处理 s = self.data_shape for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 19: k = i data[band] = ary_vis_coeff2[k] else: k = i - 19 data[band] = ary_ir_coeff2[k] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) if self.coef_txt_flag: # 在这处理，达到的效果是，如果有某些通道不需要重新定标也可以处理 k2_vis, k2_ir = self.get_k2_from_txt() if k2_vis is not None: for channel_name, k2 in k2_vis: if channel_name in data: data[channel_name][:] = k2 if k2_ir is not None: for channel_name, k2 in k2_vis: if channel_name in data: data[channel_name][:] = k2 else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_k3(self): pass def get_ref(self): """ return Ref """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] # FY3A/B/C if self.satellite in satellite_type1: dn = self.get_dn() k0 = self.get_k0() k1 = self.get_k1() k2 = self.get_k2() if 'FY3B' in self.satellite: if int(self.ymd + self.hms) <= 20130306001500: scales = 100. else: scales = 10000. else: scales = 100. # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if 'CH_05' in band: continue channel_data = dn[band] ** 2 * k2[band] + dn[band] * \ k1[band] + k0[band] pre_data = channel_data / scales idx = np.where(pre_data < 0.) if len(idx[0] > 0): pre_data[idx] = np.nan data[band] = pre_data # FY3D elif self.satellite in satellite_type2: dn = self.get_dn() k0 = self.get_k0() k1 = self.get_k1() k2 = self.get_k2() # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i < 19: pre_data = dn[band] ** 2 * k2[band] + dn[band] * \ k1[band] + k0[band] idx = np.where(pre_data < 0.) if len(idx[0] > 0): pre_data[idx] = np.nan data[band] = pre_data / 100. else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_rad(self): """ return rad """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] if self.satellite in satellite_type1: dn = self.get_dn() # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if 'CH_05' in band: data[band] = dn[band] / 100. elif self.satellite in satellite_type2: dn = self.get_dn() with h5py.File(self.in_file, 'r') as h5r: ary_a1 = h5r.get('/Data/EV_1KM_Emissive').attrs['Slope'] ary_b1 = h5r.get( '/Data/EV_1KM_Emissive').attrs['Intercept'] ary_a2 = h5r.get( '/Data/EV_250_Aggr.1KM_Emissive').attrs['Slope'] ary_b2 = h5r.get( '/Data/EV_250_Aggr.1KM_Emissive').attrs['Intercept'] a = np.concatenate((ary_a1, ary_a2)) b = np.concatenate((ary_b1, ary_b2)) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if i >= 19: k = i - 19 data[band] = dn[band] * a[k] + b[k] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_tbb_k1(self): """ return tbb_k1 dict one value """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] if self.satellite in satellite_type1: data['CH_05'] = 1 elif self.satellite in satellite_type2: data['CH_20'] = 1.00103 data['CH_21'] = 1.00085 data['CH_22'] = 1.00125 data['CH_23'] = 1.00030 data['CH_24'] = 1.00133 data['CH_25'] = 1.00065 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_tbb_k0(self): """ return tbb_k0 dict one value """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] if self.satellite in satellite_type1: data['CH_05'] = 0 elif self.satellite in satellite_type2: data['CH_20'] = -0.4759 data['CH_21'] = -0.3139 data['CH_22'] = -0.2662 data['CH_23'] = -0.0513 data['CH_24'] = -0.0734 data['CH_25'] = 0.0875 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_tbb(self): """ return tbb """ data = dict() if self.resolution == 1000: # 分辨率为 1000 satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: # rad转tbb的修正系数，所有时次都是固定值 tbb_k0 = self.get_tbb_k0() tbb_k1 = self.get_tbb_k1() rads = self.get_rad() central_wave_numbers = self.get_central_wave_number() # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) if band in list(rads.keys()): k0 = tbb_k0[band] k1 = tbb_k1[band] central_wave_number = central_wave_numbers[band] rad = rads[band] tbb = planck_r2t(rad, central_wave_number) data[band] = tbb * k1 + k0 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_sv(self): """ return sv """ data = dict() if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: try: data_pre = h5r.get('/SV_DN_average')[:] # 过滤无效值 invalid_index = np.logical_or( data_pre <= 0, data_pre > 4095) data_pre = data_pre.astype(np.float32) data_pre[invalid_index] = np.nan # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) channel_data = np.full( self.data_shape, np.nan, dtype=np.float32) channel_data[:] = data_pre[i, :].reshape(-1, 1) data[band] = channel_data except Exception as e: print(str(e)) elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get( '/Calibration/SV_DN_average')[:] # 过滤无效值 invalid_index = np.logical_or(data_pre <= 0, data_pre > 4095) data_pre = data_pre.astype(np.float32) data_pre[invalid_index] = np.nan s0 = data_pre.shape[1] print(data_pre.shape) # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) channel_data = np.full( self.data_shape, np.nan, dtype=np.float32) # 把200 转成2000 if s0 == 200: data_pre_new = np.repeat(data_pre[i, :], 10) elif s0 == 2000: data_pre_new = data_pre[i, :] else: raise ValueError( 'Cant read this satellite`s dataset sv .: {}'.format(self.satellite)) channel_data[:] = data_pre_new.reshape(-1, 1) data[band] = channel_data else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_bb(self): """ return bb """ data = dict() if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: try: data_pre = h5r.get('/BB_DN_average')[:] # 过滤无效值 invalid_index = np.logical_or( data_pre <= 0, data_pre > 4095) data_pre = data_pre.astype(np.float32) data_pre[invalid_index] = np.nan # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) channel_data = np.full( self.data_shape, np.nan, dtype=np.float32) channel_data[:] = data_pre[i, :].reshape(-1, 1) data[band] = channel_data except Exception as e: print(str(e)) elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get( '/Calibration/BB_DN_average')[:] # 过滤无效值 invalid_index = np.logical_or(data_pre <= 0, data_pre > 4095) data_pre = data_pre.astype(np.float32) data_pre[invalid_index] = np.nan # 逐个通道处理 s0 = data_pre.shape[1] # 逐个通道处理 for i in range(self.channels): band = 'CH_{:02d}'.format(i + 1) channel_data = np.full( self.data_shape, np.nan, dtype=np.float32) # 把200 转成2000 if s0 == 200: data_pre_new = np.repeat(data_pre[i, :], 10) elif s0 == 2000: data_pre_new = data_pre[i, :] else: raise ValueError( 'Cant read this satellite`s dataset bb .: {}'.format(self.satellite)) channel_data[:] = data_pre_new.reshape(-1, 1) data[band] = channel_data else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_longitude(self): """ return longitude """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/Longitude')[:] elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/Longitude')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < -180, data_pre > 180) data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_latitude(self): """ return latitude """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/Latitude')[:] elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/Latitude')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < -90, data_pre > 90) data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_land_sea_mask(self): """ return land_sea_mask """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/LandSeaMask')[:] elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/LandSeaMask')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < 0, data_pre > 7) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_height(self): """ return land_sea_mask """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/DEM')[:] elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/DEM')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < -400, data_pre > 10000) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_land_cover(self): """ return land_cover """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/LandCover')[:] elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/LandCover')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < 0, data_pre > 17) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_sensor_azimuth(self): """ return sensor_azimuth """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/SensorAzimuth')[:] vmin = -18000 vmax = 18000 elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get( '/Geolocation/SensorAzimuth')[:] if 'FY3D' in self.satellite: vmin = 0 vmax = 36000 else: vmin = -18000 vmax = 18000 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre / 100. return data def get_sensor_zenith(self): """ return sensor_zenith """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/SensorZenith')[:] vmin = 0 vmax = 18000 elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/SensorZenith')[:] vmin = 0 vmax = 18000 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre / 100. return data def get_solar_azimuth(self): """ return solar_azimuth """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/SolarAzimuth')[:] vmin = -18000 vmax = 18000 elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/SolarAzimuth')[:] if 'FY3D' in self.satellite: vmin = 0 vmax = 36000 else: vmin = -18000 vmax = 18000 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre / 100. return data def get_solar_zenith(self): """ return solar_zenith """ data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/SolarZenith')[:] vmin = 0 vmax = 18000 elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/SolarZenith')[:] vmin = 0 vmax = 18000 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre / 100. return data def get_hight(self): """ return hight """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: # s = self.data_shape # FY3A数据不规整，存在 1810,2048 的数据，取 1800,2048 with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/DEM')[:] vmin = -400 vmax = 10000 elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Geolocation/DEM')[:] vmin = -400 vmax = 10000 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 # invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) # data_pre = data_pre.astype(np.float32) # data_pre[invalid_index] = np.nan data = data_pre return data def get_day_night_flag(self): """ Nadir Day(0) Night(1) or Mix(2) Flag return day_night_flag """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: return elif self.satellite in satellite_type2: geo_file = self.__get_geo_file() with h5py.File(geo_file, 'r') as h5r: data_pre = h5r.get('/Timedata/DayNightFlag')[:] vmin = 0 vmax = 2 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 invalid_index = np.logical_or(data_pre < vmin, data_pre > vmax) data_pre = data_pre.astype(np.float) data_pre[invalid_index] = np.nan data = data_pre return data def get_mirror_side(self): data = None if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B'] satellite_type2 = ['FY3C', 'FY3D'] if self.satellite in satellite_type1: return elif self.satellite in satellite_type2: with h5py.File(self.in_file, 'r') as h5r: data_pre = h5r.get('/Calibration/Kmirror_Side')[:] else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) # 过滤无效值 data = data_pre return data def get_timestamp(self): """ return from 1970-01-01 00:00:00 seconds """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: seconds_of_file = 300 # 一个时次持续 300 秒 else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) file_date = datetime.strptime(self.ymd + self.hms, '%Y%m%d%H%M%S') timestamp = ( file_date - datetime(1970, 1, 1, 0, 0, 0)).total_seconds() row_length = self.data_shape[0] delta = np.linspace(0, seconds_of_file - 1, row_length) data = np.full(self.data_shape, np.nan, dtype=np.float64) data[:] = (delta + timestamp).reshape(-1, 1) data = data.astype(np.int32) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_central_wave_number(self): """ return 中心波数 central_wave_number wn(cm-1) = 10 ^ 7 / wave_length(nm) """ if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C'] satellite_type2 = ['FY3D'] if self.satellite in satellite_type1: data = {'CH_05': 869.565} elif self.satellite in satellite_type2: data = {'CH_20': 2634.359, 'CH_21': 2471.654, 'CH_22': 1382.621, 'CH_23': 1168.182, 'CH_24': 933.364, 'CH_25': 836.941} else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data def get_spectral_response(self): """ return 光谱波数和响应值，两个字典 """ data1 = dict() data2 = dict() if self.resolution == 1000: satellite_type1 = ['FY3A', 'FY3B', 'FY3C', 'FY3D'] if self.satellite in satellite_type1: dtype = { 'names': ('wave_length', 'response'), 'formats': ('f4', 'f4')} for i in range(self.channels): k = i + 1 band = "CH_{:02d}".format(k) file_name = '{}_{}_SRF_CH{:02d}_Pub.txt'.format( self.satellite, self.sensor, k) data_file = os.path.join(g_main_path, 'SRF', file_name) if not os.path.isfile(data_file): continue datas = np.loadtxt(data_file, dtype=dtype) # 波长转波数 wave_length = datas['wave_length'][::-1] wave_number = 10 ** 7 / wave_length # 响应 response = datas['response'][::-1] data1[band] = wave_number data2[band] = response else: raise ValueError( 'Cant read this satellite`s data.: {}'.format(self.satellite)) else: raise ValueError( 'Cant read this data, please check its resolution: {}'.format(self.in_file)) return data1, data2 if __name__ == '__main__': # L1File = 'D:/data/MERSI/FY3A_MERSI_GBAL_L1_20141230_1145_1000M_MS.HDF' # L1File = 'D:/data/MERSI/FY3B_MERSI_GBAL_L1_20130101_0005_1000M_MS.HDF' L1File = 'D:/data/MERSI/FY3D_MERSI_GBAL_L1_20181001_0020_1000M_MS.HDF' L1File = 'D:/data/MERSI/FY3D_MERSI_GBAL_L1_20190825_1755_1000M_MS.HDF' mersi = ReadMersiL1(L1File) print(mersi.satellite) # 卫星名 print(mersi.sensor) # 传感器名 print(mersi.ymd) # L1 文件年月日 YYYYMMDD print(mersi.hms) # L1 文件时分秒 HHMMSS print(mersi.resolution) # 分辨率 print(mersi.channels) # 通道数量 print(mersi.data_shape) print(type(mersi.file_attr)) def print_data_status(datas, name=None): data_shape = datas.shape data_min = np.nanmin(datas) data_max = np.nanmax(datas) data_mean = np.nanmean(datas) data_median = np.nanmedian(datas) print("{}: shape: {}, min: {}, max: {}, mean: {}, median: {}".format( name, data_shape, data_min, data_max, data_mean, data_median)) def print_channel_data(datas): if not isinstance(datas, dict): return keys = list(datas.keys()) keys.sort() for t_channel_name in keys: channel_data = datas[t_channel_name] print_data_status(channel_data, name=t_channel_name) # print('cloud mask') # t_data = mersi.get_cloudmask() # print('dn:') # t_data = mersi.get_dn() # print_channel_data(t_data) # print('k0:') # t_data = mersi.get_k0() # print_channel_data(t_data) # print('k1:') # t_data = mersi.get_k1() # print_channel_data(t_data) # print('k2:') # t_data = mersi.get_k2() # print_channel_data(t_data) # print('ref:') # t_data = mersi.get_ref() # print_channel_data(t_data) # # print('rad:') # t_data = mersi.get_rad() # print_channel_data(t_data) # # print('tbb:') # t_data = mersi.get_tbb() # print_channel_data(t_data) # print(t_data['CH_24'][1000, 1000]) # # print('sv:') # t_data = mersi.get_sv() # print_channel_data(t_data) # # print('bb:') # t_data = mersi.get_bb() # print_channel_data(t_data) # # print('longitude:') # t_data = mersi.get_longitude() # print_data_status(t_data) # # print('latitude:') # t_data = mersi.get_latitude() # print_data_status(t_data) # # print('land_sea_mask:') # t_data = mersi.get_land_sea_mask() # print_data_status(t_data) # # print('land_cover:') # t_data = mersi.get_land_cover() # print_data_status(t_data) # # print('sensor_azimuth:') # t_data = mersi.get_sensor_azimuth() # print_data_status(t_data) # print('sensor_zenith:') # t_data = mersi.get_sensor_zenith() # print_data_status(t_data) # print('solar_azimuth:') # t_data = mersi.get_solar_azimuth() # print_data_status(t_data) # print('solar_zenith:') # t_data = mersi.get_solar_zenith() # print_data_status(t_data) # print('timestamp:') # t_data = mersi.get_timestamp() # print_data_status(t_data) # # print('get_spectral_response:') # wavenums, wave_spec = mersi.get_spectral_response() # print_channel_data(wavenums) # print_channel_data(wave_spec) print('ref:') t_data = mersi.get_ref() for key in sorted(t_data.keys()): print("%s, %0.6f %0.6f" % (key, np.nanmin(t_data[key]), np.nanmax(t_data[key]))) print('rad:') t_data = mersi.get_rad() for key in sorted(t_data.keys()): print("%s, %0.6f %0.6f" % (key, np.nanmin(t_data[key]), np.nanmax(t_data[key]))) print('tbb:') t_data = mersi.get_tbb() for key in sorted(t_data.keys()): print("%s, %0.6f %0.6f" % (key, np.nanmin(t_data[key]), np.nanmax(t_data[key])))

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36c5fe93bceb2ad1716f1173accb1e652c56a768

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Python

tensorflow/python/ops/gen_linalg_ops.py

shishaochen/TensorFlow-0.8-Win

63221dfc4f1a1d064308e632ba12e6a54afe1fd8

[ "Apache-2.0" ]

1

2017-09-14T23:59:05.000Z

tensorflow/python/ops/gen_linalg_ops.py

shishaochen/TensorFlow-0.8-Win

63221dfc4f1a1d064308e632ba12e6a54afe1fd8

[ "Apache-2.0" ]

1

2016-10-19T02:43:04.000Z

2016-10-31T14:53:06.000Z

tensorflow/python/ops/gen_linalg_ops.py

shishaochen/TensorFlow-0.8-Win

63221dfc4f1a1d064308e632ba12e6a54afe1fd8

[ "Apache-2.0" ]

8

2016-10-23T00:50:02.000Z

2019-04-21T11:11:57.000Z

"""Python wrappers around Brain. This file is MACHINE GENERATED! Do not edit. """ from google.protobuf import text_format from tensorflow.core.framework import op_def_pb2 from tensorflow.python.framework import op_def_registry from tensorflow.python.framework import ops from tensorflow.python.ops import op_def_library def batch_cholesky(input, name=None): r"""Calculates the Cholesky decomposition of a batch of square matrices. The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices, with the same constraints as the single matrix Cholesky decomposition above. The output is a tensor of the same shape as the input containing the Cholesky decompositions for all input submatrices `[..., :, :]`. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[..., M, M]`. """ return _op_def_lib.apply_op("BatchCholesky", input=input, name=name) def batch_matrix_determinant(input, name=None): r"""Calculates the determinants for a batch of square matrices. The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. The output is a 1-D tensor containing the determinants for all input submatrices `[..., :, :]`. Args: input: A `Tensor`. Must be one of the following types: `float32`, `float64`. Shape is `[..., M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[...]`. """ return _op_def_lib.apply_op("BatchMatrixDeterminant", input=input, name=name) def batch_matrix_inverse(input, adjoint=None, name=None): r"""Calculates the inverse of square invertible matrices or their adjoints (conjugate transposes). The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. The output is a tensor of the same shape as the input containing the inverse for all input submatrices `[..., :, :]`. The op uses LU decomposition with partial pivoting to compute the inverses. If a matrix is not invertible there is no guarantee what the op does. It may detect the condition and raise an exception or it may simply return a garbage result. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, M]`. adjoint: An optional `bool`. Defaults to `False`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[..., M, M]`. """ return _op_def_lib.apply_op("BatchMatrixInverse", input=input, adjoint=adjoint, name=name) def batch_matrix_solve(matrix, rhs, adjoint=None, name=None): r"""Solves systems of linear equations. Checks for invertibility. Matrix is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. Rhs is a tensor of shape `[..., M, K]`. The output is a tensor shape `[..., M, K]`. If `adjoint` is `False` then each output matrix satisfies `matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]`. If `adjoint` is `True` then each output matrix satisfies `adjoint(matrix[..., :, :]) * output[..., :, :] = rhs[..., :, :]`. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, M]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[..., M, K]`. adjoint: An optional `bool`. Defaults to `False`. Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[..., M, K]`. """ return _op_def_lib.apply_op("BatchMatrixSolve", matrix=matrix, rhs=rhs, adjoint=adjoint, name=name) def batch_matrix_solve_ls(matrix, rhs, l2_regularizer, fast=None, name=None): r"""Solves multiple linear least-squares problems. `matrix` is a tensor of shape `[..., M, N]` whose inner-most 2 dimensions form square matrices. Rhs is a tensor of shape `[..., M, K]`. The output is a tensor shape `[..., N, K]` where each output matrix solves each of the equations matrix[..., :, :] * output[..., :, :] = rhs[..., :, :] in the least squares sense. Below we will use the following notation for each pair of matrix and right-hand sides in the batch: `matrix`=\$A \in \Re^{m \times n}\$, `rhs`=\$B \in \Re^{m \times k}\$, `output`=\$X \in \Re^{n \times k}\$, `l2_regularizer`=\$\lambda\$. If `fast` is `True`, then the solution is computed by solving the normal equations using Cholesky decomposition. Specifically, if \$m \ge n\$ then \$X = (A^T A + \lambda I)^{-1} A^T B\$, which solves the least-squares problem \$X = \mathrm{argmin}_{Z \in \Re^{n \times k}} ||A Z - B||_F^2 + \lambda ||Z||_F^2\$. If \$m \lt n\$ then `output` is computed as \$X = A^T (A A^T + \lambda I)^{-1} B\$, which (for \$\lambda = 0\$) is the minimum-norm solution to the under-determined linear system, i.e. \$X = \mathrm{argmin}_{Z \in \Re^{n \times k}} ||Z||_F^2 \$, subject to \$A Z = B\$. Notice that the fast path is only numerically stable when \$A\$ is numerically full rank and has a condition number \$\mathrm{cond}(A) \lt \frac{1}{\sqrt{\epsilon_{mach}}}\$ or\$\lambda\$ is sufficiently large. If `fast` is `False` an algorithm based on the numerically robust complete orthogonal decomposition is used. This computes the minimum-norm least-squares solution, even when \$A\$ is rank deficient. This path is typically 6-7 times slower than the fast path. If `fast` is `False` then `l2_regularizer` is ignored. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, N]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[..., M, K]`. l2_regularizer: A `Tensor` of type `float64`. fast: An optional `bool`. Defaults to `True`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[..., N, K]`. """ return _op_def_lib.apply_op("BatchMatrixSolveLs", matrix=matrix, rhs=rhs, l2_regularizer=l2_regularizer, fast=fast, name=name) def batch_matrix_triangular_solve(matrix, rhs, lower=None, adjoint=None, name=None): r"""Solves systems of linear equations with upper or lower triangular matrices by backsubstitution. `matrix` is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices. If `lower` is `True` then the strictly upper triangular part of each inner-most matrix is assumed to be zero and not accessed. If `lower` is False then the strictly lower triangular part of each inner-most matrix is assumed to be zero and not accessed. `rhs` is a tensor of shape [..., M, K]`. The output is a tensor of shape `[..., M, K]`. If `adjoint` is `True` then the innermost matrices in output` satisfy matrix equations `matrix[..., :, :] * output[..., :, :] = rhs[..., :, :]`. If `adjoint` is `False` then the strictly then the innermost matrices in `output` satisfy matrix equations `adjoint(matrix[..., i, k]) * output[..., k, j] = rhs[..., i, j]`. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, M]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[..., M, K]`. lower: An optional `bool`. Defaults to `True`. Boolean indicating whether the innermost matrices in `matrix` are lower or upper triangular. adjoint: An optional `bool`. Defaults to `False`. Boolean indicating whether to solve with `matrix` or its (block-wise) adjoint. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[..., M, K]`. """ return _op_def_lib.apply_op("BatchMatrixTriangularSolve", matrix=matrix, rhs=rhs, lower=lower, adjoint=adjoint, name=name) def batch_self_adjoint_eig(input, name=None): r"""Calculates the Eigen Decomposition of a batch of square self-adjoint matrices. The input is a tensor of shape `[..., M, M]` whose inner-most 2 dimensions form square matrices, with the same constraints as the single matrix SelfAdjointEig. The result is a '[..., M+1, M] matrix with [..., 0,:] containing the eigenvalues, and subsequent [...,1:, :] containing the eigenvectors. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[..., M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[..., M+1, M]`. """ return _op_def_lib.apply_op("BatchSelfAdjointEig", input=input, name=name) def cholesky(input, name=None): r"""Calculates the Cholesky decomposition of a square matrix. The input has to be symmetric and positive definite. Only the lower-triangular part of the input will be used for this operation. The upper-triangular part will not be read. The result is the lower-triangular matrix of the Cholesky decomposition of the input. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[M, M]`. """ return _op_def_lib.apply_op("Cholesky", input=input, name=name) def cholesky_grad(l, grad, name=None): r"""Calculates the reverse mode backpropagated gradient of the Cholesky algorithm. For an explanation see "Differentiation of the Cholesky algorithm" by Iain Murray http://arxiv.org/abs/1602.07527. Args: l: A `Tensor`. Must be one of the following types: `float32`, `float64`. Output of Cholesky algorithm l = chol(A). Shape is `[M, M]`. Algorithm depends only on lower triangular part of this matrix. grad: A `Tensor`. Must have the same type as `l`. df/dl where f is some scalar function. Shape is `[M, M]'. Algorithm depends only on lower triangular part of this matrix. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `l`. Symmetrized version of df/dA . Shape is `[M, M]' """ return _op_def_lib.apply_op("CholeskyGrad", l=l, grad=grad, name=name) def matrix_determinant(input, name=None): r"""Calculates the determinant of a square matrix. Args: input: A `Tensor`. Must be one of the following types: `float32`, `float64`. A tensor of shape `[M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. A scalar, equal to the determinant of the input. """ return _op_def_lib.apply_op("MatrixDeterminant", input=input, name=name) def matrix_inverse(input, adjoint=None, name=None): r"""Calculates the inverse of a square invertible matrix or its adjoint (conjugate transpose). The op uses LU decomposition with partial pivoting to compute the inverse. If the matrix is not invertible there is no guarantee what the op does. It may detect the condition and raise an exception or it may simply return a garbage result. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, M]`. adjoint: An optional `bool`. Defaults to `False`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[M, M]`. If `adjoint` is `False` then `output` contains the matrix inverse of `input`. If `adjoint` is `True` then `output` contains the matrix inverse of the adjoint of `input`. """ return _op_def_lib.apply_op("MatrixInverse", input=input, adjoint=adjoint, name=name) def matrix_solve(matrix, rhs, adjoint=None, name=None): r"""Solves a system of linear equations. Checks for invertibility. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, M]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[M, K]`. adjoint: An optional `bool`. Defaults to `False`. Boolean indicating whether to solve with `matrix` or its adjoint. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[M, K]`. If `adjoint` is `False` then `output` that solves `matrix` * `output` = `rhs`. If `adjoint` is `True` then `output` that solves `adjoint(matrix)` * `output` = `rhs`. """ return _op_def_lib.apply_op("MatrixSolve", matrix=matrix, rhs=rhs, adjoint=adjoint, name=name) def matrix_solve_ls(matrix, rhs, l2_regularizer, fast=None, name=None): r"""Solves a linear least-squares problem. Below we will use the following notation `matrix`=\$A \in \Re^{m \times n}\$, `rhs`=\$B \in \Re^{m \times k}\$, `output`=\$X \in \Re^{n \times k}\$, `l2_regularizer`=\$\lambda\$. If `fast` is `True`, then the solution is computed by solving the normal equations using Cholesky decomposition. Specifically, if \$m \ge n\$ then \$X = (A^T A + \lambda I)^{-1} A^T B\$, which solves the least-squares problem \$X = \mathrm{argmin}_{Z \in \Re^{n \times k}} ||A Z - B||_F^2 + \lambda ||Z||_F^2\$. If \$m \lt n\$ then `output` is computed as \$X = A^T (A A^T + \lambda I)^{-1} B\$, which (for \$\lambda = 0\$) is the minimum-norm solution to the under-determined linear system, i.e. \$X = \mathrm{argmin}_{Z \in \Re^{n \times k}} ||Z||_F^2 \$, subject to \$A Z = B\$. Notice that the fast path is only numerically stable when \$A\$ is numerically full rank and has a condition number \$\mathrm{cond}(A) \lt \frac{1}{\sqrt{\epsilon_{mach}}}\$ or \$\lambda\$ is sufficiently large. If `fast` is `False` an algorithm based on the numerically robust complete orthogonal decomposition is used. This computes the minimum-norm least-squares solution, even when \$A\$ is rank deficient. This path is typically 6-7 times slower than the fast path. If `fast` is `False` then `l2_regularizer` is ignored. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, N]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[M, K]`. l2_regularizer: A `Tensor` of type `float64`. fast: An optional `bool`. Defaults to `True`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[N, K]` containing the tensor that solves `matrix * output = rhs` in the least-squares sense. """ return _op_def_lib.apply_op("MatrixSolveLs", matrix=matrix, rhs=rhs, l2_regularizer=l2_regularizer, fast=fast, name=name) def matrix_triangular_solve(matrix, rhs, lower=None, adjoint=None, name=None): r"""Solves a system of linear equations with an upper or lower triangular matrix by backsubstitution. `matrix` is a matrix of shape `[M, M]`. If `lower` is `True` then the strictly upper triangular part of `matrix` is assumed to be zero and not accessed. If `lower` is False then the strictly lower triangular part of `matrix` is assumed to be zero and not accessed. `rhs` is a matrix of shape [M, K]`. The output is a matrix of shape `[M, K]`. If `adjoint` is `False` the output satisfies the matrix equation `matrix` * `output` = `rhs`. If `adjoint` is `False` then `output` satisfies the matrix equation `matrix` * `output` = `rhs`. If `adjoint` is `True` then `output` satisfies the matrix equation `adjoint(matrix)` * `output` = `rhs`. Args: matrix: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, M]`. rhs: A `Tensor`. Must have the same type as `matrix`. Shape is `[M, K]`. lower: An optional `bool`. Defaults to `True`. Boolean indicating whether `matrix` is lower or upper triangular adjoint: An optional `bool`. Defaults to `False`. Boolean indicating whether to solve with `matrix` or its adjoint. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `matrix`. Shape is `[M, K]`. """ return _op_def_lib.apply_op("MatrixTriangularSolve", matrix=matrix, rhs=rhs, lower=lower, adjoint=adjoint, name=name) def self_adjoint_eig(input, name=None): r"""Calculates the Eigen Decomposition of a square Self-Adjoint matrix. Only the lower-triangular part of the input will be used in this case. The upper-triangular part will not be read. The result is a M+1 x M matrix whose first row is the eigenvalues, and subsequent rows are eigenvectors. Args: input: A `Tensor`. Must be one of the following types: `float64`, `float32`. Shape is `[M, M]`. name: A name for the operation (optional). Returns: A `Tensor`. Has the same type as `input`. Shape is `[M+1, M]`. """ return _op_def_lib.apply_op("SelfAdjointEig", input=input, name=name) def _InitOpDefLibrary(): op_list = op_def_pb2.OpList() text_format.Merge(_InitOpDefLibrary.op_list_ascii, op_list) op_def_registry.register_op_list(op_list) op_def_lib = op_def_library.OpDefLibrary() op_def_lib.add_op_list(op_list) return op_def_lib _InitOpDefLibrary.op_list_ascii = """op { name: "BatchCholesky" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "BatchMatrixDeterminant" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_FLOAT type: DT_DOUBLE } } } } op { name: "BatchMatrixInverse" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "BatchMatrixSolve" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "BatchMatrixSolveLs" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } input_arg { name: "l2_regularizer" type: DT_DOUBLE } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } attr { name: "fast" type: "bool" default_value { b: true } } } op { name: "BatchMatrixTriangularSolve" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "lower" type: "bool" default_value { b: true } } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "BatchSelfAdjointEig" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "Cholesky" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "CholeskyGrad" input_arg { name: "l" type_attr: "T" } input_arg { name: "grad" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_FLOAT type: DT_DOUBLE } } } } op { name: "MatrixDeterminant" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_FLOAT type: DT_DOUBLE } } } } op { name: "MatrixInverse" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "MatrixSolve" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "MatrixSolveLs" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } input_arg { name: "l2_regularizer" type: DT_DOUBLE } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } attr { name: "fast" type: "bool" default_value { b: true } } } op { name: "MatrixTriangularSolve" input_arg { name: "matrix" type_attr: "T" } input_arg { name: "rhs" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "lower" type: "bool" default_value { b: true } } attr { name: "adjoint" type: "bool" default_value { b: false } } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } op { name: "SelfAdjointEig" input_arg { name: "input" type_attr: "T" } output_arg { name: "output" type_attr: "T" } attr { name: "T" type: "type" allowed_values { list { type: DT_DOUBLE type: DT_FLOAT } } } } """ _op_def_lib = _InitOpDefLibrary()

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36cb5d1c4b7bec5e622a27a676bcc79456f406f1

271

py

Python

source/assetmgr_nuke/specifications.py

IngenuityEngine/ftrack-connect-foundry

a0d5ba788e3dc5c1536ebe9740bcf4393e3f5e1d

[ "MIT" ]

1

2019-10-22T06:33:08.000Z

source/assetmgr_nuke/specifications.py

IngenuityEngine/ftrack-connect-foundry

a0d5ba788e3dc5c1536ebe9740bcf4393e3f5e1d

[ "MIT" ]

null

source/assetmgr_nuke/specifications.py

IngenuityEngine/ftrack-connect-foundry

a0d5ba788e3dc5c1536ebe9740bcf4393e3f5e1d

[ "MIT" ]

null

from FnAssetAPI.specifications import FileSpecification from FnAssetAPI.specifications.Specification import TypedProperty as P __all__ = ['NukeScriptSpecification',] ## @todo clean up code that uses these from FnAssetAPI.specifications import NukeScriptSpecification

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36cc684054c5a101956b321c2173093b607d6120

298

py

Python

pynumdiff/optimize/kalman_smooth/__init__.py

luckystarufo/PyNumDiff

99ffeb0c118c6de715414af042020bb268941c99

[ "MIT" ]

60

2020-09-07T20:39:04.000Z

2022-03-31T05:49:56.000Z

pynumdiff/optimize/kalman_smooth/__init__.py

luckystarufo/PyNumDiff

99ffeb0c118c6de715414af042020bb268941c99

[ "MIT" ]

15

2020-11-09T03:58:39.000Z

2022-03-15T16:35:31.000Z

pynumdiff/optimize/kalman_smooth/__init__.py

luckystarufo/PyNumDiff

99ffeb0c118c6de715414af042020bb268941c99

[ "MIT" ]

8

2021-02-12T01:50:14.000Z

2022-03-21T22:48:54.000Z

""" import useful functions from __kalman_smooth__ """ from pynumdiff.optimize.kalman_smooth.__kalman_smooth__ import constant_velocity from pynumdiff.optimize.kalman_smooth.__kalman_smooth__ import constant_acceleration from pynumdiff.optimize.kalman_smooth.__kalman_smooth__ import constant_jerk

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10

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27,196

py

Python

test/test_introspect.py

datakaveri/iudx-auth-server

c1ffc770f604e512aab332d89688ebbc6216f387

[ "MIT" ]

null

test/test_introspect.py

datakaveri/iudx-auth-server

c1ffc770f604e512aab332d89688ebbc6216f387

[ "MIT" ]

7

2020-10-13T12:38:40.000Z

2021-02-16T13:17:13.000Z

test/test_introspect.py

datakaveri/iudx-auth-server

c1ffc770f604e512aab332d89688ebbc6216f387

[ "MIT" ]

4

2020-09-03T09:29:57.000Z

2020-12-21T07:55:10.000Z

import os import pytest from init import consumer from init import provider from init import resource_server from init import catalogue_server from init import file_server from init import expect_failure # for registration and resetting roles from access import * from consent import role_reg # for setting session ID from session import * from expire_token import expire_token import hashlib email = "barun@iisc.ac.in" def rand_rsg(): return ''.join(random.choice(string.ascii_lowercase) for _ in range(10)) @pytest.fixture(scope="session", autouse=True) def init(): init_provider("arun.babu@rbccps.org") # provider init_provider("abc.123@iisc.ac.in") # alt_provider ######### session ID setup for provider, alt_provider ########### r = provider.get_session_id(ALL_SECURE_ENDPOINTS_BODY) assert r['success'] is True provider.set_user_session_id(fetch_sessionId("arun.babu@rbccps.org")) ''' r = alt_provider.get_session_id(ALL_SECURE_ENDPOINTS_BODY) assert r['success'] is True alt_provider.set_user_session_id(fetch_sessionId("abc.123@iisc.ac.in")) ''' # register the consumer assert reset_role(email) == True org_id = add_organization("iisc.ac.in") r = role_reg(email, '9454234223', name , ["consumer", "onboarder", "data ingester"], org_id, csr) assert r['success'] == True assert r['status_code'] == 200 def test_empty_token(): r = resource_server.introspect_token(' ') assert r['success'] is False assert r['status_code'] == 400 def test_invalid_token(): token = 'auth.iudx.io/xyz.abc@datakaveri.org/e7444fab9a74ffb6da795a69c0eeb3b5/4238265a-611f-41c0-813a-6e16cf8cc228' r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 400 token = 'auth.iudx.org.in/xy#)(@datakaveri.org/e7444fab9a74ffb6da795a69c0eeb3b5/4238265a-611f-41c0-813a-6e16cf8cc228' r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 400 token = 'auth.iudx.org.in/xyz.abc@datakaveri.org/eAZZfab9a74ffb6da795a69c0eeb3b5/4238265a-611f-41c0-813a-6e16cf8cc228' r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 400 token = 'auth.iudx.org.in/xyz.abc@datakaveri.org/e7444fab9a74ffb6da795a69c0eeb3b5/4238265a611f-41c0-813a-6e16cf8cc228' r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 400 token = 'auth.iudx.org.in/xyz.abc@datakaveri.org/e7444fab9a74ffb6da795a69c0eeb3b5/4238265a-z11f-41c0-813a-6e16cf8cc228' r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 400 def test_valid_token(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 response = r['response'] assert response['consumer'] == token.split('/')[1] assert response['request'][0]['id'] == resource_id + '/*' # since its res group assert len(response['request'][0]['apis']) > 1 def test_expired_token(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 assert len(r['response']['request']) == 1 s = token.split("/") uuid = s[3] assert expire_token(uuid) is True r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 403 def test_deleted_token(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 s = token.split("/") uuid = s[3] body = {'tokens':[uuid]} r = consumer.delete_token(body) assert r['success'] is True assert r['status_code'] == 200 r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 403 def test_token_belonging_diff_server(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/file.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["download"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 403 r = file_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 assert len(r['response']['request']) == 1 def test_revoked_rule(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 # delete rule # find access ID and delete it r = provider.get_provider_access() assert r['success'] == True assert r['status_code'] == 200 rules = r['response'] for r in rules: if resource_id == r['item']['cat_id']: access_id = r['id'] break assert access_id != -1 r = provider.delete_rule([{'id':access_id}]) assert r['success'] == True assert r['status_code'] == 200 r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 403 def test_onboarder_token(): access_req = {"user_email": email, "user_role":'onboarder' } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/catalogue.iudx.io/catalogue/crud" body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = catalogue_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id assert len(resp['request'][0]['apis']) == 0 def test_rs_consumer_caps(): with open('../capabilities.json') as f: caps = json.load(f) for cap, apis in caps['rs.iudx.io']['consumer'].items(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":[cap] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 apis = [str.replace('{{RESOURCE_GROUP_ID}}',resource_id) for str in apis] body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == set(apis) def test_file_consumer_caps(): with open('../capabilities.json') as f: caps = json.load(f) for cap, apis in caps['file.iudx.io']['consumer'].items(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/file.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":[cap] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 apis = [str.replace('{{RESOURCE_GROUP_ID}}',resource_id) for str in apis] body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = file_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == set(apis) def test_ingester_rs(): with open('../capabilities.json') as f: caps = json.load(f) for cap, apis in caps['rs.iudx.io']['data ingester'].items(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'data ingester', "item_id":resource_id, "item_type":"resourcegroup" } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == set(apis) def test_ingester_file(): with open('../capabilities.json') as f: caps = json.load(f) for cap, apis in caps['file.iudx.io']['data ingester'].items(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/file.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'data ingester', "item_id":resource_id, "item_type":"resourcegroup" } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = file_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == set(apis) def test_rs_all_caps(): with open('../capabilities.json') as f: caps = json.load(f) all_caps = list(caps['rs.iudx.io']['consumer'].keys()) all_apis = set() apis = list(caps['rs.iudx.io']['consumer'].values()) for i in apis: all_apis.update(i) resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":all_caps } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 all_apis = {str.replace('{{RESOURCE_GROUP_ID}}',resource_id) for str in all_apis} body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == all_apis def test_deleted_cap(): with open('../capabilities.json') as f: caps = json.load(f) all_caps = list(caps['rs.iudx.io']['consumer'].keys()) all_apis = set() apis = list(caps['rs.iudx.io']['consumer'].values()) for i in apis: all_apis.update(i) resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":all_caps } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] all_apis = {str.replace('{{RESOURCE_GROUP_ID}}',resource_id) for str in all_apis} assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert set(resp['request'][0]['apis']) == all_apis # delete subscription capability and then introspect # find access ID and delete it access_id = -1 r = provider.get_provider_access() assert r['success'] == True assert r['status_code'] == 200 rules = r['response'] for r in rules: if r['item'] and resource_id == r['item']['cat_id']: access_id = r['id'] break assert access_id != -1 r = provider.delete_rule([{'id':access_id, 'capabilities':['subscription']}]) assert r['success'] == True assert r['status_code'] == 200 subscription_api = caps['rs.iudx.io']['consumer']['subscription'][0] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 resp = r['response'] assert len(resp['request']) == 1 assert resp['request'][0]['id'] == resource_id + '/*' assert subscription_api not in set(resp['request'][0]['apis']) def test_consumer_ingester_same_resource(): with open('../capabilities.json') as f: caps = json.load(f) all_caps = list(caps['rs.iudx.io']['consumer'].keys()) all_apis = set() consumer_apis = list(caps['rs.iudx.io']['consumer'].values()) ingester_apis = list(caps['rs.iudx.io']['data ingester']['default']) for i in consumer_apis: all_apis.update(i) all_apis.update(ingester_apis) resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req_c = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":all_caps } access_req_di = {"user_email": email, "user_role":'data ingester', "item_id":resource_id, "item_type":"resourcegroup" } r = provider.provider_access([access_req_c, access_req_di]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 check = False all_apis = {str.replace('{{RESOURCE_GROUP_ID}}',resource_id) for str in all_apis} assert len(r['response']['request']) == 1 for i in r['response']['request']: assert i['id'] == resource_id + '/*' if all_apis == set(i['apis']): check = True assert check is True # token w/ expired rule def test_expired_rule(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) assert r['success'] == True assert r['status_code'] == 200 body = {} body['request'] = [resource_id] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 # delete rule # find access ID and delete it r = provider.get_provider_access() assert r['success'] == True assert r['status_code'] == 200 rules = r['response'] for r in rules: if r['item'] and resource_id == r['item']['cat_id']: access_id = r['id'] break assert access_id != -1 assert expire_rule(access_id) is True r = resource_server.introspect_token(token) assert r['success'] is False assert r['status_code'] == 403 def test_different_items(): resource_id = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req = {"user_email": email, "user_role":'consumer', "item_id":resource_id, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req]) body = {} body['request'] = [resource_id, resource_id + "/item-1", resource_id + "/item-2/item-3"] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 assert len(r['response']['request']) == 3 for i in r['response']['request']: assert i['id'] in [resource_id + '/*', resource_id + "/item-1", resource_id + "/item-2/item-3"] def test_different_resources(): resource_id_1 = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() resource_id_2 = "rbccps.org/9cf2c2382cf661fc20a4776345a3be7a143a109c/rs.iudx.io/" + rand_rsg() access_req_1 = {"user_email": email, "user_role":'consumer', "item_id":resource_id_1, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } access_req_2 = {"user_email": email, "user_role":'consumer', "item_id":resource_id_2, "item_type":"resourcegroup", "capabilities":["complex","subscription","temporal"] } r = provider.provider_access([access_req_1, access_req_2]) body = {} body['request'] = [resource_id_1, resource_id_2, resource_id_1 + "/item-1"] r = consumer.get_token(body) assert r['success'] is True assert r['status_code'] == 200 token = r['response']['token'] r = resource_server.introspect_token(token) assert r['success'] is True assert r['status_code'] == 200 assert len(r['response']['request']) == 3 for i in r['response']['request']: assert i['id'] in [resource_id_1 + '/*', resource_id_2 + '/*', resource_id_1 + "/item-1"]

40.896241

127

0.502868

2,749

27,196

4.787559

0.064387

0.070207

0.071271

0.08396

0.87972

0.864296

0.852899

0.84021

0.832763

0.822354

0

0.053152

0.371856

27,196

664

128

40.957831

0.717263

0.01298

0

0.784906

0

0.009434

0.217306

0.065406

0

0.326415

1

0.037736

false

0

0.024528

0.001887

0.064151

0

null

0

1

0

1

0

null

0

7

e9e2b9e0b229db108387b5c215ceee9a47ba4fab

3,178

py

Python

tests/test_converter_bad_request.py

NHSDigital/fhir-converter

02d3650dd328eb6ccd52b2fbabcc2b38e95625fc

[ "MIT" ]

null

tests/test_converter_bad_request.py

NHSDigital/fhir-converter

02d3650dd328eb6ccd52b2fbabcc2b38e95625fc

[ "MIT" ]

53

2021-09-22T09:34:31.000Z

2022-03-28T15:18:09.000Z

tests/test_converter_bad_request.py

NHSDigital/fhir-converter

02d3650dd328eb6ccd52b2fbabcc2b38e95625fc

[ "MIT" ]

null

import pytest import requests from .example_loader import load_example, load_error class TestConverterBadRequest: @pytest.fixture() def url(self, proxy_url: str) -> str: return f"{proxy_url}/$convert" @pytest.mark.parametrize("accept", [ # "application/fhir+json; fhirVersion=4.0" -> valid header "application/fhir+json; fhirVersion=2.0", "fhir+json; fhirVersion=4.0", "application/json; fhirVersion=4.0", "application fhir+json; fhirVersion=4.0", "application/fhir+json fhirVersion=4.0" ]) def test_converter_invalid_accept_header(self, url, token, accept): # Given stu3_payload = load_example("MedicationRequest/stu3.json") headers = { "Authorization": f"Bearer {token}", "Content-Type": "application/fhir+json; fhirVersion=3.0", "Accept": accept } # When res = requests.post(url, json=stu3_payload, headers=headers) # Then assert res.status_code == 400 expected_response = load_error(diagnostics="Accept Header is missing or invalid") assert res.json() == expected_response def test_converter_missing_accept_header(self, url, token): # Given stu3_payload = load_example("MedicationRequest/stu3.json") headers = { "Authorization": f"Bearer {token}", "Content-Type": "application/fhir+json; fhirVersion=3.0", } # When res = requests.post(url, json=stu3_payload, headers=headers) assert res.status_code == 400 expected_response = load_error(diagnostics="Accept Header is missing or invalid") assert res.json() == expected_response @pytest.mark.parametrize("content_type", [ # "application/fhir+json; fhirVersion=3.0" <-- valid header "application/fhir+json; fhirVersion=2.0", "application/json; fhirVersion=3.0", "application/fhir+json; fhirVersion=5.0" ]) def test_converter_invalid_content_type_header(self, url, token, content_type): # Given stu3_payload = load_example("MedicationRequest/stu3.json") headers = { "Authorization": f"Bearer {token}", "Content-Type": content_type, "Accept": "application/fhir+json; fhirVersion=4.0" } # When res = requests.post(url, json=stu3_payload, headers=headers) assert res.status_code == 400 expected_response = load_error(diagnostics="Content-Type Header is missing or invalid") assert res.json() == expected_response def test_converter_missing_content_type_header(self, url, token): # Given stu3_payload = load_example("MedicationRequest/stu3.json") headers = { "Authorization": f"Bearer {token}", "Accept": "application/fhir+json; fhirVersion=4.0" } # When res = requests.post(url, json=stu3_payload, headers=headers) assert res.status_code == 400 expected_response = load_error(diagnostics="Content-Type Header is missing or invalid") assert res.json() == expected_response

36.113636

95

0.637193

354

3,178

5.567797

0.169492

0.106545

0.115677

0.167428

0.863014

0.808219

0.77169

0.752917

0.731608

0.686961

0

0.021776

0.248584

3,178

87

96

36.528736

0.803601

0.05129

0

0.590164

0

0.297369

0.094239

0

0.131148

1

0.081967

false

0

0.04918

0.016393

0.163934

0

null

0

1

0

null

0

7

e9e364c5a69decd3ab711e4c1dfade27dd507d1b

34,433

py

Python

validitysensor/blobs_9d.py

hmatrjp/python-validity

5bf6b2bd10444fef1ed1552e71e9a08bf12d1b8b

[ "MIT" ]

510

2019-05-19T15:49:40.000Z

2022-03-29T19:57:39.000Z

validitysensor/blobs_9d.py

hmatrjp/python-validity

5bf6b2bd10444fef1ed1552e71e9a08bf12d1b8b

[ "MIT" ]

114

2020-03-31T20:38:21.000Z

2022-03-28T17:16:55.000Z

validitysensor/blobs_9d.py

hmatrjp/python-validity

5bf6b2bd10444fef1ed1552e71e9a08bf12d1b8b

[ "MIT" ]

56

2019-07-30T11:25:40.000Z

2022-03-18T18:16:24.000Z

from .util import unhex init_hardcoded = unhex(''' 06020000014a231406e5542fc6dc3b1aedebe68f55596ad3ca13f6e019994c6f71672fff756fbde0511d09d45978b12ba415b3694a0e763 48c8cfe9dbb9abf86813fc0c67c1005519a6f87360c2fb3e12bd0a9e012b06d9f5c9b44ccc6645b0fbd47afe45c8c874fcb88fbfd18fb7a 9b3241351f256acce689f9586a52b01f8fdcb66cdf3b340b1f9f386d58ca24fdfcdfbcebefb5f3a3c2a08357721040235a20ce1ee2f4f78 56e0d9c27b92cd9b975c86f2c8cab1179868f795da674004b93c15e6ac8aa825a1907f2003cb9e6df096423167b2cabae98c0cd3fd200d1 1c7e0ee1ba5a725f7f2022886f3caa5f68b688ba61bc5cb0190db569efa0a57aa9d76ecdc7440c8920ea02768734221260d083bebb39c17 6d129c01d1a0f1388497171402ba041afd925d71e76ce4905e44fa5fd528759a2c9f12895864b5aa394dc71a4a17161dd82197a10742fa5 f3135c5e78820e36653fa3db535f57c71897242939d7da50f81070ce9ab81c61af6ac29a6c6c4a5df73ffd08542fb540e417939ed117298 051d27736c2faf1c5577a2133b6f60ea7484c692faae2a49c51c8e6f69af77774bad51a9adeea3109d3611d6a437cdc0c356e46a8f9a6d3 054c5519c17c986e54f61f8329006ce184c275984799dbdf5512188fa8ff10aa2ddc25eb697ebdcb156509309ade5d7909a734bf35ec69e 062cb941c2ea4af0958110da93bd2b5f17fc9b1ebdbd8020a3c36f22a68f707226cec716126d6a830219521669bd59fa0e4bd35db6ef0aa 2999d1c0e7acf67e598696cd58cc4bdb1b7c037ee9a085f784c4 ''') init_hardcoded_clean_slate = unhex(''' 06020000012c40c9d271378bc0912ef5dced69bd81b7fc16972c7b46e621af54a00e2cc6baca6eb83ea30222dfc6c925262006ae93412ea cf482f2034ee7b13297474b7e1e91f279cac2ccb7195443e4dd3328cfd292ade073fcc2eaa8f07b77231130ba997f921b9be7b4fb6cc691 0d2976b3e050913b27dbe73afd6e964260b9435ebab5117e71f7cb68464d4b6f8afc7e1a421f671f5854a1d0c8ab93ed3b88b2bc1a42875 e40b15f0e78496ac40e4a4a7fd39a97534ce1866479e0384f0789bbfc2fea0ce982bf7a9df97d60b237edbe1b26c9791043a96b81e435d6 de5971c758d374905df95b0cddabfbf531749ba191f07a6f5e2722852f137a53513a9ec6ab30c3f09aa6ce21b391e55cf81dcda6422011b f163317a9a4382546141d45f2274bd660103bd3af705f3ed12e493bc4f834d5d7f162e2c3405cf857b00129789a3353bf7fab7796e267e3 062d55660dbbb857911ac8e871c460dd31c56a86a5631475f0f2ee5e9ce2af0faec0931a640ba2394025f29ffeca3a7e99c15a78ce1f1f7 808cedd7601b9b6382d72ca873257d4f6af70e29e22afea15e36e0282b8f0bfc68ffa3417d212b8bbe11bb73b363a19872e6e947d45de30 fbc493ca083a0a4650615d8628606362081ca6df5d67527971d1776ad76a7a28c932f0317b59cb4a82a14b2bcb7b01fb662be1496d24d91 9140ec80068b21a818daa2fb8e05f63edbd4bd5797c74a28b3e7cf81c9045248584977711341fca3f08ba91ff853b62dc24ce4bba4ed57f 47bd458545d805b6bb14fe0cde01440b60bf7be937f6444a8e2a10ed8fa9ddb8604bb95fe411b97112e78dbf5a4a0f004669c93765a9f38 665cb55f5658895c1c06a7aedf694bfb3afa9b8b1dea5ab85c821ac20b0663b95023642fda36ad78e3e00140b966f404f7e55f0b416ea43 b4c74c39900830abc6906a1004bef1b5b7dbbbeb5ec1b22604ac86429b9f56511b746a7124c449b8c9498f49144abc2d64f6a114f1d7f91 aa41249faeef4d838e280cb5d6fc19cfe86c75f ''') reset_blob = unhex(''' 06020000018772bd56dd58d64023e1745f7c253a49b32dd6a02bc32347195b6763bfcc23c9e0beb0c5809e06a5628629f28c4048530a5cd 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8dcacffea97e5421a5504c05a48dbbe5933aefdf525529bb0a74677778cc6c9eabe0847daa1151902280a6d0ebf266ffcf24294c03f72af 4409541f6ab76f59e9083b3c87064c0ee59279542bc04b210c3d7f484b8fe32403c8bcb7306777d1a79461068d96662d76babe39bc1059c ae30152d8c65765b96dac42006b0443722b700009941942738e1092559400b9aad99dabb58dde270e7117bc0962fe0c4bdc4948dc2c54cc e4d0160332120e7edc5f03862aa271bb249200a38ff5afd4cc10e146e8127eea60a21dec67276c29eb51b20ac316378c2d8318cc118d5f2 7853292c65ee1f344447e327651b336a434a62eea2c69929ec0b78411cc1a26934128875155cfd8478ef11fcc987d6323a5574905f14452 107c2ade173c166e981de0aa3f7ed0ce55fdf0bcafa48381b216244225b4f45200cd107e923545cbff5a608bc78f77c9cb56af94ea69294 40237583d5567c3ea45cf788d248c64726db1b0e6278c4aac4d5b4972196b149379834b4fb7d5635b93102ed8bf7a1715c8a5fb1b9b1e06 128c9224157cb99ee1caa6183dc85e4eb12df7a021db9b47607e3bdccdc04c7276fee38c90569d2e429ee3434e950dba0f95c48131eaddb 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18070e5e5294df43ad07237dbd5eb6d1bc6ac667

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py

Python

spec/codecs/netflow_stress.py

andsel/logstash-codec-netflow

bce0308260ebcd72af825cd52f48b0af88dfe66d

[ "Apache-2.0" ]

85

2015-04-12T01:22:25.000Z

2021-11-09T10:55:58.000Z

spec/codecs/netflow_stress.py

andsel/logstash-codec-netflow

bce0308260ebcd72af825cd52f48b0af88dfe66d

[ "Apache-2.0" ]

186

2015-01-12T20:51:46.000Z

2022-01-27T13:31:33.000Z

spec/codecs/netflow_stress.py

andsel/logstash-codec-netflow

bce0308260ebcd72af825cd52f48b0af88dfe66d

[ "Apache-2.0" ]

107

2015-01-12T19:42:20.000Z

2021-11-03T11:08:57.000Z

import socket import sys import time import random ## Standalone Netflow v9 stressor ## Used to reproduce issue 91 https://github.com/logstash-plugins/logstash-codec-netflow/issues/91 host = 'host02' port = 2055 tpl = '\x00\t\x00\x01e\x9c\xc0_XF\x8eU\x01u\xc7\x03\x00\x00\x08\x81\x00\x00\x00d\x01\x04\x00\x17\x00\x02\x00\x04\x00\x01\x00\x04\x00\x08\x00\x04\x00\x0c\x00\x04\x00\n\x00\x04\x00\x0e\x00\x04\x00\x15\x00\x04\x00\x16\x00\x04\x00\x07\x00\x02\x00\x0b\x00\x02\x00\x10\x00\x04\x00\x11\x00\x04\x00\x12\x00\x04\x00\t\x00\x01\x00\r\x00\x01\x00\x04\x00\x01\x00\x06\x00\x01\x00\x05\x00\x01\x00=\x00\x01\x00Y\x00\x01\x000\x00\x02\x00\xea\x00\x04\x00\xeb\x00\x04' # 21 flows: data = 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sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) print("NETFLOW v9: sending 1 template 1 data packet in an infinite loop") duration = 0.0 while True: for i in range(0,400): sock.sendto(tpl, (host, port)) sock.sendto(data, (host, port)) sys.stdout.write('.') sys.stdout.flush() time.sleep(random.random()) print

184.419355

4,680

0.729404

1,347

5,717

3.093541

0.16778

0.5054

0.468683

0.449244

0.564195

0.533237

0.515959

0.447564

0.411087

0.403888

0

0.369154

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5,717

30

4,681

190.566667

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1

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false

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0.210526

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null

1

0

1

0

1

0

1

null

0

9

180da8e8d342ff97d31fc39f55105a5257216d9a

4,202

py

Python

map/migrations/0002_auto_20190426_2013.py

KushalVijay/DSCSolution-Step-to-Cure-India

d452e46b3e2879bdd7f80461cb42814795584783

[ "MIT" ]

1

2020-04-26T06:35:08.000Z

map/migrations/0002_auto_20190426_2013.py

KushalVijay/DSCSolution-Step-to-Cure-India

d452e46b3e2879bdd7f80461cb42814795584783

[ "MIT" ]

null

map/migrations/0002_auto_20190426_2013.py

KushalVijay/DSCSolution-Step-to-Cure-India

d452e46b3e2879bdd7f80461cb42814795584783

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.11.17 on 2019-04-26 14:43 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('map', '0001_initial'), ] operations = [ migrations.AlterField( model_name='city', name='accuracy', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='admin_name1', field=models.CharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='city', name='admin_name2', field=models.CharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='city', name='admin_name3', field=models.CharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='city', name='country_code', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='latitude', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='longitude', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malaria_cause', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malaria_deaths', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malaria_risk_factor', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malaria_risk_index', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malnutrition_cause', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malnutrition_deaths', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malnutrition_risk_factor', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='malnutrition_risk_index', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='pincode', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='place_name', field=models.CharField(blank=True, max_length=50, null=True), ), migrations.AlterField( model_name='city', name='population', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='tuberculosis_cause', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='tuberculosis_deaths', field=models.IntegerField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='tuberculosis_risk_factor', field=models.FloatField(blank=True, null=True), ), migrations.AlterField( model_name='city', name='tuberculosis_risk_index', field=models.FloatField(blank=True, null=True), ), ]

33.349206

74

0.535697

378

4,202

5.809524

0.169312

0.200364

0.250455

0.290528

0.882969

0.86612

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0

0.01207

0.349357

4,202

125

75

33.616

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0.016421

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0

null

1

0

1

0

null

0

11

1816a03089b5de39cd8afc1b0bdbe2730768077a

22,557

py

Python

bombbomb/apis/files_api.py

bombbomb/bombbomb-python-openapi

d1623cb06e58fdc83b04603a589e9d30e7eb3fdf

[ "Apache-2.0" ]

null

bombbomb/apis/files_api.py

bombbomb/bombbomb-python-openapi

d1623cb06e58fdc83b04603a589e9d30e7eb3fdf

[ "Apache-2.0" ]

null

bombbomb/apis/files_api.py

bombbomb/bombbomb-python-openapi

d1623cb06e58fdc83b04603a589e9d30e7eb3fdf

[ "Apache-2.0" ]

null

# coding: utf-8 """ BombBomb We make it easy to build relationships using simple videos. OpenAPI spec version: 2.0.0 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 FilesApi(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 doc_host_delete(self, doc_id, **kwargs): """ Delete file Deletes a users file 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.doc_host_delete(doc_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str doc_id: Id of document (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.doc_host_delete_with_http_info(doc_id, **kwargs) else: (data) = self.doc_host_delete_with_http_info(doc_id, **kwargs) return data def doc_host_delete_with_http_info(self, doc_id, **kwargs): """ Delete file Deletes a users file 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.doc_host_delete_with_http_info(doc_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str doc_id: Id of document (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['doc_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 doc_host_delete" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'doc_id' is set if ('doc_id' not in params) or (params['doc_id'] is None): raise ValueError("Missing the required parameter `doc_id` when calling `doc_host_delete`") resource_path = '/files/{docId}'.replace('{format}', 'json') path_params = {} if 'doc_id' in params: path_params['docId'] = params['doc_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']) 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/x-www-form-urlencoded']) # Authentication setting auth_settings = ['BBOAuth2'] 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')) def doc_host_get(self, doc_id, **kwargs): """ Get file Get a single file 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.doc_host_get(doc_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str doc_id: Id of document (required) :return: HostedDoc If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.doc_host_get_with_http_info(doc_id, **kwargs) else: (data) = self.doc_host_get_with_http_info(doc_id, **kwargs) return data def doc_host_get_with_http_info(self, doc_id, **kwargs): """ Get file Get a single file 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.doc_host_get_with_http_info(doc_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str doc_id: Id of document (required) :return: HostedDoc If the method is called asynchronously, returns the request thread. """ all_params = ['doc_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 doc_host_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'doc_id' is set if ('doc_id' not in params) or (params['doc_id'] is None): raise ValueError("Missing the required parameter `doc_id` when calling `doc_host_get`") resource_path = '/files/{docId}'.replace('{format}', 'json') path_params = {} if 'doc_id' in params: path_params['docId'] = params['doc_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']) 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/x-www-form-urlencoded']) # Authentication setting auth_settings = ['BBOAuth2'] 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='HostedDoc', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def doc_host_list(self, **kwargs): """ List all files List all uploaded user files 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.doc_host_list(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[HostedDoc] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.doc_host_list_with_http_info(**kwargs) else: (data) = self.doc_host_list_with_http_info(**kwargs) return data def doc_host_list_with_http_info(self, **kwargs): """ List all files List all uploaded user files 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.doc_host_list_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :return: list[HostedDoc] If the method is called asynchronously, returns the request thread. """ all_params = [] 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 doc_host_list" % key ) params[key] = val del params['kwargs'] resource_path = '/files'.replace('{format}', 'json') path_params = {} 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']) 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/x-www-form-urlencoded']) # Authentication setting auth_settings = ['BBOAuth2'] 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[HostedDoc]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def doc_host_upload_v2(self, file, **kwargs): """ Upload a file Upload a new file 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.doc_host_upload_v2(file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str file: The file being uploaded (required) :return: list[HostedDoc] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.doc_host_upload_v2_with_http_info(file, **kwargs) else: (data) = self.doc_host_upload_v2_with_http_info(file, **kwargs) return data def doc_host_upload_v2_with_http_info(self, file, **kwargs): """ Upload a file Upload a new file 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.doc_host_upload_v2_with_http_info(file, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str file: The file being uploaded (required) :return: list[HostedDoc] If the method is called asynchronously, returns the request thread. """ all_params = ['file'] 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 doc_host_upload_v2" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'file' is set if ('file' not in params) or (params['file'] is None): raise ValueError("Missing the required parameter `file` when calling `doc_host_upload_v2`") resource_path = '/files'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} if 'file' in params: form_params.append(('file', params['file'])) body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) 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/x-www-form-urlencoded']) # Authentication setting auth_settings = ['BBOAuth2'] 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='list[HostedDoc]', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only')) def get_hosted_images_paged(self, page_size, page, **kwargs): """ Get paged hosted images Get a specific page of uploaded images available to the user. 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.get_hosted_images_paged(page_size, page, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str page_size: The number of items to retrieve in a single db query. (required) :param str page: Zero-based index of the page of data to retrieve from the db. (required) :param str search: Filter results with names that match the search term. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_hosted_images_paged_with_http_info(page_size, page, **kwargs) else: (data) = self.get_hosted_images_paged_with_http_info(page_size, page, **kwargs) return data def get_hosted_images_paged_with_http_info(self, page_size, page, **kwargs): """ Get paged hosted images Get a specific page of uploaded images available to the user. 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.get_hosted_images_paged_with_http_info(page_size, page, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str page_size: The number of items to retrieve in a single db query. (required) :param str page: Zero-based index of the page of data to retrieve from the db. (required) :param str search: Filter results with names that match the search term. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['page_size', 'page', 'search'] 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 get_hosted_images_paged" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'page_size' is set if ('page_size' not in params) or (params['page_size'] is None): raise ValueError("Missing the required parameter `page_size` when calling `get_hosted_images_paged`") # verify the required parameter 'page' is set if ('page' not in params) or (params['page'] is None): raise ValueError("Missing the required parameter `page` when calling `get_hosted_images_paged`") resource_path = '/files/images/paged'.replace('{format}', 'json') path_params = {} query_params = {} if 'page_size' in params: query_params['pageSize'] = params['page_size'] if 'page' in params: query_params['page'] = params['page'] if 'search' in params: query_params['search'] = params['search'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) 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/x-www-form-urlencoded']) # Authentication setting auth_settings = ['BBOAuth2'] 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=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'))

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null

0

8

186089ac079fe93691c5ed9c3d718790ce31b13d

4,021

py

Python

interpreter/definitions/truth_table.py

dragonoverlord3000/PropLogic

583ef0e4beef8500d29ba54c1a4c7071d2a4fddc

[ "MIT" ]

2

2021-09-12T08:46:12.000Z

2022-01-14T09:07:46.000Z

interpreter/definitions/truth_table.py

dragonoverlord3000/PropLogic

583ef0e4beef8500d29ba54c1a4c7071d2a4fddc

[ "MIT" ]

null

interpreter/definitions/truth_table.py

dragonoverlord3000/PropLogic

583ef0e4beef8500d29ba54c1a4c7071d2a4fddc

[ "MIT" ]

null

from interpreter.definitions.tokens import Token, TokenType # The important part is the `truth_table_dict` at the bottom """ These functions take TokenType.TRUE and TokenType.FALSE as input and returns a new Token of either type TRUE or type FALSE, depending on the input. """ # Negation '~' def negation_truth_table(a:TokenType) -> TokenType: if a.type == TokenType.TRUE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE: return Token(TokenType.TRUE) else: print(f"Error, token type ('{a.type}') is not boolean") # Conjunction '&' def conjunction_truth_table(a:TokenType, b:TokenType) -> TokenType: if a.type == TokenType.TRUE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.TRUE and b.type == TokenType.FALSE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.TRUE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.FALSE: return Token(TokenType.FALSE) else: print(f"Error, either token type ('{a.type}') or ;) token type ('{b.type}') is not boolean") # Disjunction '|' def disjunction_truth_table(a:TokenType,b:TokenType) -> TokenType: if a.type == TokenType.TRUE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.TRUE and b.type == TokenType.FALSE: return Token(TokenType.TRUE) elif a.type == TokenType.FALSE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.FALSE and b.type == TokenType.FALSE: return Token(TokenType.FALSE) else: print(f"Error, either token type ('{a.type}') or ;) token type ('{b.type}') is not boolean") # Implication '>' def implication_truth_table(a:TokenType, b:TokenType) -> TokenType: if a.type == TokenType.TRUE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.TRUE and b.type == TokenType.FALSE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.FALSE and b.type == TokenType.FALSE: return Token(TokenType.TRUE) else: print(f"Error, either token type ('{a.type}') or ;) token type ('{b.type}') is not boolean") # Converse Implication '<' def converse_implication_truth_table(a:TokenType, b:TokenType) -> TokenType: if a.type == TokenType.TRUE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.TRUE and b.type == TokenType.FALSE: return Token(TokenType.TRUE) elif a.type == TokenType.FALSE and b.type == TokenType.TRUE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.FALSE: return Token(TokenType.TRUE) else: print(f"Error, either token type ('{a.type}') or ;) token type ('{b.type}') is not boolean") # Biconditional '<>' def biconditional_truth_table(a:TokenType, b:TokenType) -> TokenType: if a.type == TokenType.TRUE and b.type == TokenType.TRUE: return Token(TokenType.TRUE) elif a.type == TokenType.TRUE and b.type == TokenType.FALSE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.TRUE: return Token(TokenType.FALSE) elif a.type == TokenType.FALSE and b.type == TokenType.FALSE: return Token(TokenType.TRUE) else: print(f"Error, either token type ('{a.type}') or ;) token type ('{b.type}') is not boolean") # Relate operator type to their truth table truth_table_dict = { TokenType.NEGATION: negation_truth_table, TokenType.CONJUNCTION: conjunction_truth_table, TokenType.DISJUNCTION: disjunction_truth_table, TokenType.IMPLICATION: implication_truth_table, TokenType.CONVERSEIMPLICATION: converse_implication_truth_table, TokenType.BICONDITIONAL: biconditional_truth_table }

38.663462

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4,021

5.048237

0.102041

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0.113194

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0.740537

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0

0.194728

4,021

103

101

39.038835

0.840334

0.050982

0

0.746479

0

0.070423

0.124897

0

1

0.084507

false

0

0.014085

0

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0

null

1

0

1

0

1

0

null

0

7

187261d20befd8b3efc31210e376c8d3c5a80ec1

12,233

py

Python

tests/test_encryption.py

00mjk/pypsrp

540bad3ad2a9c2c12408ccf787db67ba76377566

[ "MIT" ]

1

2022-03-11T20:07:11.000Z

tests/test_encryption.py

00mjk/pypsrp

540bad3ad2a9c2c12408ccf787db67ba76377566

[ "MIT" ]

null

tests/test_encryption.py

00mjk/pypsrp

540bad3ad2a9c2c12408ccf787db67ba76377566

[ "MIT" ]

1

2022-03-11T20:07:12.000Z

import collections import pytest from pypsrp.encryption import WinRMEncryption from pypsrp.exceptions import WinRMError WrapIOVResult = collections.namedtuple("WrapIOVResult", ["buffers"]) WrapResult = collections.namedtuple("WrapResult", ["data"]) class MockAuth: def __init__(self, padding=False): self.padding = padding def wrap_winrm(self, data): return b"reallylongheader", data + b"-encrypted", 1 if self.padding else 0 def unwrap_winrm(self, header, data): return data[: len(data) - 10] class TestWinRMEncryption(object): def test_wrap_small_spnego(self): plaintext = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_spnego_padded(self): plaintext = b"plaintext" encryption = WinRMEncryption(MockAuth(padding=True), WinRMEncryption.SPNEGO) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=10\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_small_kerberos(self): plaintext = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.KERBEROS) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-Kerberos-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_small_credsp(self): plaintext = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.CREDSSP) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-CredSSP-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_large_spnego(self): plaintext = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=20000" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + plaintext + b"-encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_large_kerberos(self): plaintext = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.KERBEROS) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-Kerberos-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=20000" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + plaintext + b"-encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/encrypted" == actual_type assert expected == actual def test_wrap_large_credsp(self): plaintext = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.CREDSSP) expected = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-CredSSP-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=16384" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + b"a" * 16384 + b"-encrypted--Encrypted Boundary\r\n\tContent-Type: " b"application/HTTP-CredSSP-session-encrypted\r\n" b"\tOriginalContent: type=application/soap+xml;" b"charset=UTF-8;Length=3616\r\n--Encrypted Boundary\r\n" b"\tContent-Type: application/octet-stream\r\n" b"\x10\x00\x00\x00reallylongheader" + b"a" * 3616 + b"-encrypted--Encrypted Boundary--\r\n" ) actual_type, actual = encryption.wrap_message(plaintext) assert "multipart/x-multi-encrypted" == actual_type assert expected == actual def test_unwrap_small_spnego(self): expected = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_small_spnego_without_end_hyphens(self): expected = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted--Encrypted Boundary\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_small_kerberos(self): expected = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.KERBEROS) # The spaces after -- on each boundary is on purpose, some MS implementations do this. bwrapped = ( b"-- Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-Kerberos-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"-- Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-" b"encrypted-- Encrypted Boundary--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_small_credsp(self): expected = b"plaintext" encryption = WinRMEncryption(MockAuth(), WinRMEncryption.CREDSSP) bwrapped = ( b"--Encrypted Boundary2\r\n\tContent-Type: application" b"/HTTP-CredSSP-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary2\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplaintext-encrypted" b"--Encrypted Boundary2--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary2") assert expected == actual def test_unwrap_large_spnego(self): expected = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=20000" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + expected + b"-encrypted--Encrypted Boundary--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_large_kerberos(self): expected = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.KERBEROS) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-Kerberos-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=20000" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + expected + b"-encrypted--Encrypted Boundary--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_large_credsp(self): expected = b"a" * 20000 encryption = WinRMEncryption(MockAuth(), WinRMEncryption.CREDSSP) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-CredSSP-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=16384" b"\r\n--Encrypted Boundary\r\n\tContent-Type: application" b"/octet-stream\r\n\x10\x00\x00\x00reallylongheader" + b"a" * 16384 + b"-encrypted--Encrypted Boundary\r\n\tContent-Type: " b"application/HTTP-CredSSP-session-encrypted\r\n" b"\tOriginalContent: type=application/soap+xml;" b"charset=UTF-8;Length=3616\r\n--Encrypted Boundary\r\n" b"\tContent-Type: application/octet-stream\r\n" b"\x10\x00\x00\x00reallylongheader" + b"a" * 3616 + b"-encrypted--Encrypted Boundary--\r\n" ) actual = encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert expected == actual def test_unwrap_length_mismatch(self): encryption = WinRMEncryption(MockAuth(), WinRMEncryption.SPNEGO) bwrapped = ( b"--Encrypted Boundary\r\n\tContent-Type: application" b"/HTTP-SPNEGO-session-encrypted\r\n\tOriginalContent: " b"type=application/soap+xml;charset=UTF-8;Length=9\r\n" b"--Encrypted Boundary\r\n\tContent-Type: application/" b"octet-stream\r\n\x10\x00\x00\x00reallylongheaderplain-" b"encrypted--Encrypted Boundary--\r\n" ) with pytest.raises(WinRMError) as err: encryption.unwrap_message(bwrapped, "Encrypted Boundary") assert ( str(err.value) == "The encrypted length from the server does not match the " "expected length, decryption failed, actual: 5 != expected: 9" )

45.988722

118

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0.10572

0.111593

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0.894152

0.890449

0.870531

0.825077

0.794305

0

0.027506

0.230279

12,233

265

119

46.162264

0.804269

0.006867

0

0.735683

0

0.039648

0.459537

0.312752

0

0.096916

1

0.079295

false

0

0.017621

0.008811

0.114537

0

null

0

1

0

1

0

null

0

7

43e67ce55c58b7e5112e786b6b49b1c852d329f1

95

py

Python

contrib/wydget/wydget/dialogs/__init__.py

bitcraft/pyglet

144257c365ca85528c6a4c5bed8141e683d7a9b6

[ "BSD-3-Clause" ]

15

2015-01-21T12:29:01.000Z

2018-12-09T09:17:33.000Z

contrib/wydget/wydget/dialogs/__init__.py

bitcraft/pyglet

144257c365ca85528c6a4c5bed8141e683d7a9b6

[ "BSD-3-Clause" ]

null

contrib/wydget/wydget/dialogs/__init__.py

bitcraft/pyglet

144257c365ca85528c6a4c5bed8141e683d7a9b6

[ "BSD-3-Clause" ]

9

2015-12-12T09:12:46.000Z

2021-12-26T13:29:14.000Z

from wydget.dialogs.question import Question, Message from wydget.dialogs.file import FileOpen

31.666667

53

0.852632

13

95

6.230769

0.615385

0.246914

0.419753

0

0.094737

95

2

54

47.5

0.94186

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

43fa6a88b8f50a6b63b608fb0c534077b53f0078

1,420

py

Python

utility_calculation/value_iterator.py

veeral-agarwal/value-iteration

e33b01a62616972e0202f3c1557c55999cd723ec

[ "MIT" ]

null

utility_calculation/value_iterator.py

veeral-agarwal/value-iteration

e33b01a62616972e0202f3c1557c55999cd723ec

[ "MIT" ]

null

utility_calculation/value_iterator.py

veeral-agarwal/value-iteration

e33b01a62616972e0202f3c1557c55999cd723ec

[ "MIT" ]

null

A = [0] B = [0] C = [0] # change your R here R = [16.6] for i in range(1,4): # For A print("V"+str(i)+"(A) = max(0.8(-1+γ("+str(B[i-1])+")) + 0.2(-1+γ("+str(A[i-1])+"))," + "0.8(-1+γ("+str(C[i-1])+")) + 0.2(-1+γ("+str(A[i-1])+"))") print("= max(" + str( (0.8*(-1+(0.2*B[i-1]))) + 0.2*(-1+(0.2*A[i-1])) ) +" , "+ str((0.8*(-1+(0.2*C[i-1]))) + 0.2*(-1+(0.2*A[i-1]))) + ")") A.append(max((0.8*(-1+(0.2*B[i-1]))) + 0.2*(-1+(0.2*A[i-1])) , (0.8*(-1+(0.2*C[i-1]))) + 0.2*(-1+(0.2*A[i-1])))) print("A = "+str(A[i])) print("V"+str(i)+"(B) = max(0.8(-1+γ("+str(A[i-1])+")) + 0.2(-1+γ("+str(B[i-1])+"))," + "0.8(-4+γ("+str(R[0])+")) + 0.2(-1+γ("+str(B[i-1])+"))") print("= max(" + str( (0.8*(-1+(0.2*A[i-1]))) + 0.2*(-1+(0.2*B[i-1])) ) +" , "+ str((0.8*(-4+(0.2*R[0]))) + 0.2*(-1+(0.2*B[i-1])))+ ")") B.append( max((0.8*(-1+(0.2*A[i-1]))) + 0.2*(-1+(0.2*B[i-1])) , (0.8*(-4+(0.2*R[0]))) + 0.2*(-1+(0.2*B[i-1]))) ) print("B = "+str(B[i])) print("V"+str(i)+"(C) = max(0.8(-1+γ("+str(A[i-1])+")) + 0.2(-1+γ("+str(C[i-1])+"))," + "0.25(-3+γ("+str(R[0])+")) + 0.75(-1+γ("+str(C[i-1])+"))") print("= max(" + str( (0.8*(-1+(0.2*A[i-1]))) + 0.2*(-1+(0.2*C[i-1])) ) +" , "+ str((0.25*(-3+(0.2*R[0]))) + 0.75*(-1+(0.2*C[i-1])))+ ")") C.append( max((0.8*(-1+(0.2*A[i-1]))) + 0.2*(-1+(0.2*C[i-1])) , (0.25*(-3+(0.2*R[0]))) + 0.75*(-1+(0.2*C[i-1]))) ) print("C = "+str(C[i]))

61.73913

150

0.352817

357

1,420

1.403361

0.07563

0.155689

0.191617

0.095808

0.816367

0.736527

0.696607

0.642715

0.620758

0

0.168576

0.139437

1,420

22

151

64.545455

0.241408

0.016901

0

0.165111

0

1

0

false

0

0.529412

0

1

null

0

1

0

1

0

1

0

1

0

null

0

1

0

7

a1047b92f74f6c074da4af1b0ec1142a0104b41b

239

py

Python

clay/utils/__init__.py

lucuma/Clay

07923ddb5b710cdea21fd7c4667e4189ebc0640e

[ "Apache-2.0" ]

35

2015-02-12T15:34:47.000Z

2021-09-27T17:16:04.000Z

clay/utils/__init__.py

lucuma/Clay

07923ddb5b710cdea21fd7c4667e4189ebc0640e

[ "Apache-2.0" ]

11

2015-01-11T20:48:49.000Z

2020-12-23T18:52:22.000Z

clay/utils/__init__.py

lucuma/Clay

07923ddb5b710cdea21fd7c4667e4189ebc0640e

[ "Apache-2.0" ]

10

2015-02-27T19:48:46.000Z

2018-06-24T09:39:27.000Z

from .active import * # noqa from .jinja_render import * # noqa from .jinja_includewith import * # noqa from .load_config import * # noqa from .make_matcher import * # noqa from .multidict import * # noqa from .urls import * # noqa

29.875

40

0.707113

32

239

5.15625

0.40625

0.424242

0.509091

0.230303

0

0.205021

239

7

41

34.142857

0.868421

0.142259

0

1

0

true

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a13704fd85c90d0c743e4cf5aa349240d8b903a2

26,837

py

Python

sdk/python/pulumi_azure/datashare/dataset_data_lake_gen2.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

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

null

sdk/python/pulumi_azure/datashare/dataset_data_lake_gen2.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

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

null

sdk/python/pulumi_azure/datashare/dataset_data_lake_gen2.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "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__ = ['DatasetDataLakeGen2Args', 'DatasetDataLakeGen2'] @pulumi.input_type class DatasetDataLakeGen2Args: def __init__(__self__, *, file_system_name: pulumi.Input[str], share_id: pulumi.Input[str], storage_account_id: pulumi.Input[str], file_path: Optional[pulumi.Input[str]] = None, folder_path: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a DatasetDataLakeGen2 resource. :param pulumi.Input[str] file_system_name: The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] share_id: The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] storage_account_id: The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] file_path: The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] folder_path: The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] name: The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ pulumi.set(__self__, "file_system_name", file_system_name) pulumi.set(__self__, "share_id", share_id) pulumi.set(__self__, "storage_account_id", storage_account_id) if file_path is not None: pulumi.set(__self__, "file_path", file_path) if folder_path is not None: pulumi.set(__self__, "folder_path", folder_path) if name is not None: pulumi.set(__self__, "name", name) @property @pulumi.getter(name="fileSystemName") def file_system_name(self) -> pulumi.Input[str]: """ The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_system_name") @file_system_name.setter def file_system_name(self, value: pulumi.Input[str]): pulumi.set(self, "file_system_name", value) @property @pulumi.getter(name="shareId") def share_id(self) -> pulumi.Input[str]: """ The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "share_id") @share_id.setter def share_id(self, value: pulumi.Input[str]): pulumi.set(self, "share_id", value) @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> pulumi.Input[str]: """ The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "storage_account_id") @storage_account_id.setter def storage_account_id(self, value: pulumi.Input[str]): pulumi.set(self, "storage_account_id", value) @property @pulumi.getter(name="filePath") def file_path(self) -> Optional[pulumi.Input[str]]: """ The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_path") @file_path.setter def file_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_path", value) @property @pulumi.getter(name="folderPath") def folder_path(self) -> Optional[pulumi.Input[str]]: """ The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "folder_path") @folder_path.setter def folder_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "folder_path", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @pulumi.input_type class _DatasetDataLakeGen2State: def __init__(__self__, *, display_name: Optional[pulumi.Input[str]] = None, file_path: Optional[pulumi.Input[str]] = None, file_system_name: Optional[pulumi.Input[str]] = None, folder_path: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, share_id: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering DatasetDataLakeGen2 resources. :param pulumi.Input[str] display_name: The name of the Data Share Dataset. :param pulumi.Input[str] file_path: The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] file_system_name: The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] folder_path: The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] name: The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] share_id: The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] storage_account_id: The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ if display_name is not None: pulumi.set(__self__, "display_name", display_name) if file_path is not None: pulumi.set(__self__, "file_path", file_path) if file_system_name is not None: pulumi.set(__self__, "file_system_name", file_system_name) if folder_path is not None: pulumi.set(__self__, "folder_path", folder_path) if name is not None: pulumi.set(__self__, "name", name) if share_id is not None: pulumi.set(__self__, "share_id", share_id) if storage_account_id is not None: pulumi.set(__self__, "storage_account_id", storage_account_id) @property @pulumi.getter(name="displayName") def display_name(self) -> Optional[pulumi.Input[str]]: """ The name of the Data Share Dataset. """ return pulumi.get(self, "display_name") @display_name.setter def display_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "display_name", value) @property @pulumi.getter(name="filePath") def file_path(self) -> Optional[pulumi.Input[str]]: """ The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_path") @file_path.setter def file_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_path", value) @property @pulumi.getter(name="fileSystemName") def file_system_name(self) -> Optional[pulumi.Input[str]]: """ The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_system_name") @file_system_name.setter def file_system_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "file_system_name", value) @property @pulumi.getter(name="folderPath") def folder_path(self) -> Optional[pulumi.Input[str]]: """ The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "folder_path") @folder_path.setter def folder_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "folder_path", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="shareId") def share_id(self) -> Optional[pulumi.Input[str]]: """ The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "share_id") @share_id.setter def share_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "share_id", value) @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> Optional[pulumi.Input[str]]: """ The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "storage_account_id") @storage_account_id.setter def storage_account_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "storage_account_id", value) class DatasetDataLakeGen2(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, file_path: Optional[pulumi.Input[str]] = None, file_system_name: Optional[pulumi.Input[str]] = None, folder_path: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, share_id: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a Data Share Data Lake Gen2 Dataset. ## Example Usage ```python import pulumi import pulumi_azure as azure import pulumi_azuread as azuread example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.datashare.Account("exampleAccount", location=example_resource_group.location, resource_group_name=example_resource_group.name, identity=azure.datashare.AccountIdentityArgs( type="SystemAssigned", )) example_share = azure.datashare.Share("exampleShare", account_id=example_account.id, kind="CopyBased") example_storage_account_account = azure.storage.Account("exampleStorage/accountAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_kind="BlobStorage", account_tier="Standard", account_replication_type="LRS") example_data_lake_gen2_filesystem = azure.storage.DataLakeGen2Filesystem("exampleDataLakeGen2Filesystem", storage_account_id=example_storage / account_account["id"]) example_service_principal = azuread.get_service_principal_output(display_name=example_account.name) example_assignment = azure.authorization.Assignment("exampleAssignment", scope=example_storage / account_account["id"], role_definition_name="Storage Blob Data Reader", principal_id=example_service_principal.object_id) example_dataset_data_lake_gen2 = azure.datashare.DatasetDataLakeGen2("exampleDatasetDataLakeGen2", share_id=example_share.id, storage_account_id=example_storage / account_account["id"], file_system_name=example_data_lake_gen2_filesystem.name, file_path="myfile.txt", opts=pulumi.ResourceOptions(depends_on=[example_assignment])) ``` ## Import Data Share Data Lake Gen2 Datasets can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:datashare/datasetDataLakeGen2:DatasetDataLakeGen2 example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.DataShare/accounts/account1/shares/share1/dataSets/dataSet1 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] file_path: The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] file_system_name: The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] folder_path: The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] name: The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] share_id: The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] storage_account_id: The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ ... @overload def __init__(__self__, resource_name: str, args: DatasetDataLakeGen2Args, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a Data Share Data Lake Gen2 Dataset. ## Example Usage ```python import pulumi import pulumi_azure as azure import pulumi_azuread as azuread example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_account = azure.datashare.Account("exampleAccount", location=example_resource_group.location, resource_group_name=example_resource_group.name, identity=azure.datashare.AccountIdentityArgs( type="SystemAssigned", )) example_share = azure.datashare.Share("exampleShare", account_id=example_account.id, kind="CopyBased") example_storage_account_account = azure.storage.Account("exampleStorage/accountAccount", resource_group_name=example_resource_group.name, location=example_resource_group.location, account_kind="BlobStorage", account_tier="Standard", account_replication_type="LRS") example_data_lake_gen2_filesystem = azure.storage.DataLakeGen2Filesystem("exampleDataLakeGen2Filesystem", storage_account_id=example_storage / account_account["id"]) example_service_principal = azuread.get_service_principal_output(display_name=example_account.name) example_assignment = azure.authorization.Assignment("exampleAssignment", scope=example_storage / account_account["id"], role_definition_name="Storage Blob Data Reader", principal_id=example_service_principal.object_id) example_dataset_data_lake_gen2 = azure.datashare.DatasetDataLakeGen2("exampleDatasetDataLakeGen2", share_id=example_share.id, storage_account_id=example_storage / account_account["id"], file_system_name=example_data_lake_gen2_filesystem.name, file_path="myfile.txt", opts=pulumi.ResourceOptions(depends_on=[example_assignment])) ``` ## Import Data Share Data Lake Gen2 Datasets can be imported using the `resource id`, e.g. ```sh $ pulumi import azure:datashare/datasetDataLakeGen2:DatasetDataLakeGen2 example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/group1/providers/Microsoft.DataShare/accounts/account1/shares/share1/dataSets/dataSet1 ``` :param str resource_name: The name of the resource. :param DatasetDataLakeGen2Args 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(DatasetDataLakeGen2Args, 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, file_path: Optional[pulumi.Input[str]] = None, file_system_name: Optional[pulumi.Input[str]] = None, folder_path: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, share_id: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[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__ = DatasetDataLakeGen2Args.__new__(DatasetDataLakeGen2Args) __props__.__dict__["file_path"] = file_path if file_system_name is None and not opts.urn: raise TypeError("Missing required property 'file_system_name'") __props__.__dict__["file_system_name"] = file_system_name __props__.__dict__["folder_path"] = folder_path __props__.__dict__["name"] = name if share_id is None and not opts.urn: raise TypeError("Missing required property 'share_id'") __props__.__dict__["share_id"] = share_id if storage_account_id is None and not opts.urn: raise TypeError("Missing required property 'storage_account_id'") __props__.__dict__["storage_account_id"] = storage_account_id __props__.__dict__["display_name"] = None super(DatasetDataLakeGen2, __self__).__init__( 'azure:datashare/datasetDataLakeGen2:DatasetDataLakeGen2', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, display_name: Optional[pulumi.Input[str]] = None, file_path: Optional[pulumi.Input[str]] = None, file_system_name: Optional[pulumi.Input[str]] = None, folder_path: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, share_id: Optional[pulumi.Input[str]] = None, storage_account_id: Optional[pulumi.Input[str]] = None) -> 'DatasetDataLakeGen2': """ Get an existing DatasetDataLakeGen2 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] display_name: The name of the Data Share Dataset. :param pulumi.Input[str] file_path: The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] file_system_name: The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] folder_path: The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] name: The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] share_id: The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. :param pulumi.Input[str] storage_account_id: The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _DatasetDataLakeGen2State.__new__(_DatasetDataLakeGen2State) __props__.__dict__["display_name"] = display_name __props__.__dict__["file_path"] = file_path __props__.__dict__["file_system_name"] = file_system_name __props__.__dict__["folder_path"] = folder_path __props__.__dict__["name"] = name __props__.__dict__["share_id"] = share_id __props__.__dict__["storage_account_id"] = storage_account_id return DatasetDataLakeGen2(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="displayName") def display_name(self) -> pulumi.Output[str]: """ The name of the Data Share Dataset. """ return pulumi.get(self, "display_name") @property @pulumi.getter(name="filePath") def file_path(self) -> pulumi.Output[Optional[str]]: """ The path of the file in the data lake file system to be shared with the receiver. Conflicts with `folder_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_path") @property @pulumi.getter(name="fileSystemName") def file_system_name(self) -> pulumi.Output[str]: """ The name of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "file_system_name") @property @pulumi.getter(name="folderPath") def folder_path(self) -> pulumi.Output[Optional[str]]: """ The folder path in the data lake file system to be shared with the receiver. Conflicts with `file_path` Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "folder_path") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ The name which should be used for this Data Share Data Lake Gen2 Dataset. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "name") @property @pulumi.getter(name="shareId") def share_id(self) -> pulumi.Output[str]: """ The resource ID of the Data Share where this Data Share Data Lake Gen2 Dataset should be created. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "share_id") @property @pulumi.getter(name="storageAccountId") def storage_account_id(self) -> pulumi.Output[str]: """ The resource id of the storage account of the data lake file system to be shared with the receiver. Changing this forces a new Data Share Data Lake Gen2 Dataset to be created. """ return pulumi.get(self, "storage_account_id")

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Python

networkapi/api_network/tests/v3/sanity/networkipv4/sync/test_put.py

treviza153/GloboNetworkAPI

9ca8ba7febdef0eb716514196b1bda1afdccd851

[ "Apache-2.0" ]

73

2015-04-13T17:56:11.000Z

2022-03-24T06:13:07.000Z

networkapi/api_network/tests/v3/sanity/networkipv4/sync/test_put.py

treviza153/GloboNetworkAPI

9ca8ba7febdef0eb716514196b1bda1afdccd851

[ "Apache-2.0" ]

99

2015-04-03T01:04:46.000Z

2021-10-03T23:24:48.000Z

networkapi/api_network/tests/v3/sanity/networkipv4/sync/test_put.py

treviza153/GloboNetworkAPI

9ca8ba7febdef0eb716514196b1bda1afdccd851

[ "Apache-2.0" ]

64

2015-08-05T21:26:29.000Z

2022-03-22T01:06:28.000Z

# -*- coding: utf-8 -*- import json from django.test.client import Client from networkapi.test.test_case import NetworkApiTestCase class NetworkIPv4PutSuccessTestCase(NetworkApiTestCase): fixtures = [ 'networkapi/system/fixtures/initial_variables.json', 'networkapi/usuario/fixtures/initial_usuario.json', 'networkapi/grupo/fixtures/initial_ugrupo.json', 'networkapi/usuario/fixtures/initial_usuariogrupo.json', 'networkapi/api_ogp/fixtures/initial_objecttype.json', 'networkapi/api_ogp/fixtures/initial_objectgrouppermissiongeneral.json', 'networkapi/grupo/fixtures/initial_permissions.json', 'networkapi/grupo/fixtures/initial_permissoes_administrativas.json', 'networkapi/vlan/fixtures/initial_tipo_rede.json', 'networkapi/filter/fixtures/initial_filter.json', 'networkapi/filterequiptype/fixtures/initial_filterequiptype.json', 'networkapi/equipamento/fixtures/initial_tipo_equip.json', 'networkapi/api_network/fixtures/sanity/initial_config_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment_dc.json', 'networkapi/api_network/fixtures/sanity/initial_environment_envlog.json', 'networkapi/api_network/fixtures/sanity/initial_environment_gl3.json', 'networkapi/api_network/fixtures/sanity/initial_ipconfig.json', 'networkapi/api_network/fixtures/sanity/initial_networkipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vlan.json', 'networkapi/api_network/fixtures/sanity/initial_vrf.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vip_request_v4.json', 'networkapi/api_network/fixtures/sanity/initial_environment_vip.json', 'networkapi/api_network/fixtures/sanity/initial_env_env_vip.json', 'networkapi/api_network/fixtures/sanity/initial_equipments.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_env.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_group.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4_eqpt.json', 'networkapi/api_network/fixtures/sanity/initial_roteiros.json', 'networkapi/api_network/fixtures/sanity/initial_equip_marca_model.json', 'networkapi/api_network/fixtures/sanity/initial_cidr.json', ] json_path = 'api_network/tests/v3/sanity/networkipv4/json/%s' def setUp(self): self.client = Client() self.authorization = self.get_http_authorization('test') def tearDown(self): pass def test_try_update_inactive_netipv4(self): """Test of success to update inactive Network IPv4 changing cluster unit, network type and environment vip. """ name_file = self.json_path % 'put/net_inactive.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/3/', data=json.dumps(self.load_json_file(name_file)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/3/?kind=basic&include=cluster_unit,active' name_file = self.json_path % 'get/basic/net_inactive.json' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) self.compare_json_lists(name_file, response.data['networks']) def test_try_update_active_netipv4(self): """Test of success to update active Network IPv4 changing cluster unit, network type and environment vip. """ name_file = self.json_path % 'put/net_active.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/1/', data=json.dumps(self.load_json_file(name_file)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/1/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_active.json' self.compare_json_lists(name_file, response.data['networks']) def test_try_update_inactive_netipv4_changing_octets(self): """Test of success to update inactive Network IPv4 changing octets. Octets will not be changed. """ name_file_put = self.json_path % 'put/net_inactive_changing_octets.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/3/', data=json.dumps(self.load_json_file(name_file_put)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/3/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_inactive_changing_octets.json' self.compare_json_lists(name_file, response.data['networks']) def test_try_update_netipv4_ignore_change_active_flag_from_false_to_true(self): """Test of success to update NetworkIPv4 changing active flag from False to True. Active flag cannot be changed. """ name_file_put = 'api_network/tests/v3/sanity/networkipv4/json/put/' \ 'net_changing_active_from_false_to_true.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/3/', data=json.dumps(self.load_json_file(name_file_put)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/3/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_inactive.json' self.compare_json_lists(name_file, response.data['networks']) def test_try_update_netipv4_ignore_change_active_flag_from_true_to_false(self): """Test of success to update NetworkIPv4 changing active flag from True. to False. Active flag cannot be changed. """ name_file_put = 'api_network/tests/v3/sanity/networkipv4/json/put/' \ 'net_changing_active_from_true_to_false.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/1/', data=json.dumps(self.load_json_file(name_file_put)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/1/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_active.json' self.compare_json_lists(name_file, response.data['networks']) class NetworkIPv4PutErrorTestCase(NetworkApiTestCase): fixtures = [ 'networkapi/system/fixtures/initial_variables.json', 'networkapi/usuario/fixtures/initial_usuario.json', 'networkapi/grupo/fixtures/initial_ugrupo.json', 'networkapi/usuario/fixtures/initial_usuariogrupo.json', 'networkapi/api_ogp/fixtures/initial_objecttype.json', 'networkapi/api_ogp/fixtures/initial_objectgrouppermissiongeneral.json', 'networkapi/grupo/fixtures/initial_permissions.json', 'networkapi/grupo/fixtures/initial_permissoes_administrativas.json', 'networkapi/vlan/fixtures/initial_tipo_rede.json', 'networkapi/filter/fixtures/initial_filter.json', 'networkapi/filterequiptype/fixtures/initial_filterequiptype.json', 'networkapi/equipamento/fixtures/initial_tipo_equip.json', 'networkapi/api_network/fixtures/sanity/initial_config_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment_dc.json', 'networkapi/api_network/fixtures/sanity/initial_environment_envlog.json', 'networkapi/api_network/fixtures/sanity/initial_environment_gl3.json', 'networkapi/api_network/fixtures/sanity/initial_ipconfig.json', 'networkapi/api_network/fixtures/sanity/initial_networkipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vlan.json', 'networkapi/api_network/fixtures/sanity/initial_vrf.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vip_request_v4.json', 'networkapi/api_network/fixtures/sanity/initial_environment_vip.json', 'networkapi/api_network/fixtures/sanity/initial_env_env_vip.json', 'networkapi/api_network/fixtures/sanity/initial_equipments.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_env.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_group.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4_eqpt.json', 'networkapi/api_network/fixtures/sanity/initial_roteiros.json', 'networkapi/api_network/fixtures/sanity/initial_equip_marca_model.json' ] json_path = 'api_network/tests/v3/sanity/networkipv4/json/%s' def setUp(self): self.client = Client() self.authorization = self.get_http_authorization('test') def tearDown(self): pass def test_try_update_nonexistent_netipv4(self): """Test of error to update inexistent Network IPv4.""" name_file = self.json_path % 'put/net_nonexistent.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/1000/', data=json.dumps(self.load_json_file(name_file)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(404, response.status_code) self.compare_values( 'There is no NetworkIPv4 with pk = 1000.', response.data['detail']) def test_try_update_inactive_netipv4_changing_nettype_to_none(self): """Test of error to update inactive Network IPv4 changing network type to None. """ name_file = self.json_path % 'put/net_inactive_changing_net_type.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/3/', data=json.dumps(self.load_json_file(name_file)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(400, response.status_code) self.compare_values( ['Wrong type'], response.data['detail']['errors'][0]['error_reasons']) get_url = '/api/v3/networkv4/3/?kind=basic&include=cluster_unit,active' name_file = self.json_path % 'get/basic/net_inactive_changing_net_type.json' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) self.compare_json_lists(name_file, response.data['networks']) class NetworkIPv4ForcePutSuccessTestCase(NetworkApiTestCase): fixtures = [ 'networkapi/system/fixtures/initial_variables.json', 'networkapi/usuario/fixtures/initial_usuario.json', 'networkapi/grupo/fixtures/initial_ugrupo.json', 'networkapi/usuario/fixtures/initial_usuariogrupo.json', 'networkapi/api_ogp/fixtures/initial_objecttype.json', 'networkapi/api_ogp/fixtures/initial_objectgrouppermissiongeneral.json', 'networkapi/grupo/fixtures/initial_permissions.json', 'networkapi/grupo/fixtures/initial_permissoes_administrativas.json', 'networkapi/vlan/fixtures/initial_tipo_rede.json', 'networkapi/filter/fixtures/initial_filter.json', 'networkapi/filterequiptype/fixtures/initial_filterequiptype.json', 'networkapi/equipamento/fixtures/initial_tipo_equip.json', 'networkapi/api_network/fixtures/sanity/initial_config_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment.json', 'networkapi/api_network/fixtures/sanity/initial_environment_dc.json', 'networkapi/api_network/fixtures/sanity/initial_environment_envlog.json', 'networkapi/api_network/fixtures/sanity/initial_environment_gl3.json', 'networkapi/api_network/fixtures/sanity/initial_ipconfig.json', 'networkapi/api_network/fixtures/sanity/initial_networkipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vlan.json', 'networkapi/api_network/fixtures/sanity/initial_vrf.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4.json', 'networkapi/api_network/fixtures/sanity/initial_vip_request_v4.json', 'networkapi/api_network/fixtures/sanity/initial_environment_vip.json', 'networkapi/api_network/fixtures/sanity/initial_env_env_vip.json', 'networkapi/api_network/fixtures/sanity/initial_equipments.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_env.json', 'networkapi/api_network/fixtures/sanity/initial_equipments_group.json', 'networkapi/api_network/fixtures/sanity/initial_ipv4_eqpt.json', 'networkapi/api_network/fixtures/sanity/initial_roteiros.json', 'networkapi/api_network/fixtures/sanity/initial_equip_marca_model.json', 'networkapi/api_network/fixtures/sanity/initial_cidr.json' ] json_path = 'api_network/tests/v3/sanity/networkipv4/json/%s' def setUp(self): self.client = Client() self.authorization = self.get_http_authorization('test_admin') def tearDown(self): pass def test_try_update_netipv4_changing_active_flag_from_false_to_true(self): """Test of success of changing NetworkIPv4 active flag from false to true without really deploy the Network. """ name_file_put = 'api_network/tests/v3/sanity/networkipv4/json/put/' \ 'net_changing_active_from_false_to_true.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/force/3/', data=json.dumps(self.load_json_file(name_file_put)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/3/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_changed_active_from_false_to_true.json' self.compare_json_lists(name_file, response.data['networks']) def test_try_update_netipv4_changing_active_flag_from_true_to_false(self): """Test of success of changing NetworkIPv4 active flag from true to false without really undeploy the Network. """ name_file_put = 'api_network/tests/v3/sanity/networkipv4/json/put/' \ 'net_changing_active_from_true_to_false.json' # Does PUT request response = self.client.put( '/api/v3/networkv4/force/1/', data=json.dumps(self.load_json_file(name_file_put)), content_type='application/json', HTTP_AUTHORIZATION=self.authorization) self.compare_status(200, response.status_code) get_url = '/api/v3/networkv4/1/?kind=basic&include=cluster_unit,active' response = self.client.get( get_url, content_type='application/json', HTTP_AUTHORIZATION=self.get_http_authorization('test')) self.compare_status(200, response.status_code) name_file = self.json_path % 'get/basic/net_changed_active_from_true_to_false.json' self.compare_json_lists(name_file, response.data['networks'])

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null

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1

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null

0

8

a193e96bb4198b60322ca46c6e10fb184a154ef6

18,878

py

Python

discovery-provider/alembic/versions/6b5186e7d28f_replace_aggregate_plays_mat_view_with_.py

Tenderize/audius-protocol

aa15844e3f12812fe8aaa81e2cb6e5c5fa89ff51

[ "Apache-2.0" ]

1

2022-03-27T21:40:36.000Z

discovery-provider/alembic/versions/6b5186e7d28f_replace_aggregate_plays_mat_view_with_.py

Tenderize/audius-protocol

aa15844e3f12812fe8aaa81e2cb6e5c5fa89ff51

[ "Apache-2.0" ]

null

discovery-provider/alembic/versions/6b5186e7d28f_replace_aggregate_plays_mat_view_with_.py

Tenderize/audius-protocol

aa15844e3f12812fe8aaa81e2cb6e5c5fa89ff51

[ "Apache-2.0" ]

null

"""Replace aggregate_plays mat view with table Revision ID: 6b5186e7d28f Revises: 36eac5ed00bf Create Date: 2021-11-19 20:54:17.596441 """ from alembic import op # revision identifiers, used by Alembic. revision = '6b5186e7d28f' down_revision = '36eac5ed00bf' branch_labels = None depends_on = None def upgrade(): conn = op.get_bind() query = """ DO $do$ BEGIN -- only run migration if the aggregate_plays table does not already exist -- trying to drop the mat view aggregate_plays will fail if the table aggregate_plays exists -- also don't want to risk losing data IF NOT EXISTS ( SELECT FROM information_schema.tables WHERE table_name = 'aggregate_plays' ) THEN -- update indexing checkpoints based on current plays WITH latest_play_id AS ( SELECT MAX(id) AS id FROM plays ) INSERT INTO indexing_checkpoints (tablename, last_checkpoint) VALUES( 'aggregate_plays', (COALESCE((SELECT id FROM latest_play_id), 0)) ) ON CONFLICT (tablename) DO UPDATE SET last_checkpoint = EXCLUDED.last_checkpoint; -- create aggregate_plays table DROP TABLE IF EXISTS aggregate_plays_table; CREATE TABLE aggregate_plays_table AS ( SELECT plays.play_item_id as play_item_id, count(*) as count FROM plays WHERE plays.id <= ( SELECT last_checkpoint FROM indexing_checkpoints WHERE tablename = 'aggregate_plays' ) GROUP BY plays.play_item_id ); -- drop existing aggregate_plays mat view and its dependencies DROP MATERIALIZED VIEW IF EXISTS trending_params; DROP MATERIALIZED VIEW IF EXISTS aggregate_plays; -- will complain if aggregate_plays table exists -- rename table to replace mat view ALTER TABLE aggregate_plays_table RENAME TO aggregate_plays; CREATE UNIQUE INDEX IF NOT EXISTS play_item_id_idx ON aggregate_plays (play_item_id); -- recreate mat views -- trending_params from 92571f94989a CREATE MATERIALIZED VIEW trending_params as SELECT t.track_id as track_id, t.genre as genre, t.owner_id as owner_id, ap.play_count as play_count, au.follower_count as owner_follower_count, COALESCE (aggregate_track.repost_count, 0) as repost_count, COALESCE (aggregate_track.save_count, 0) as save_count, COALESCE (repost_week.repost_count, 0) as repost_week_count, COALESCE (repost_month.repost_count, 0) as repost_month_count, COALESCE (repost_year.repost_count, 0) as repost_year_count, COALESCE (save_week.repost_count, 0) as save_week_count, COALESCE (save_month.repost_count, 0) as save_month_count, COALESCE (save_year.repost_count, 0) as save_year_count, COALESCE (karma.karma, 0) as karma FROM tracks t -- join on subquery for aggregate play count LEFT OUTER JOIN ( SELECT ap.count as play_count, ap.play_item_id as play_item_id FROM aggregate_plays ap ) as ap ON ap.play_item_id = t.track_id -- join on subquery for aggregate user LEFT OUTER JOIN ( SELECT au.user_id as user_id, au.follower_count as follower_count FROM aggregate_user au ) as au ON au.user_id = t.owner_id -- join on subquery for aggregate track LEFT OUTER JOIN ( SELECT aggregate_track.track_id as track_id, aggregate_track.repost_count as repost_count, aggregate_track.save_count as save_count FROM aggregate_track ) as aggregate_track ON aggregate_track.track_id = t.track_id -- -- join on subquery for reposts by year LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 year') GROUP BY r.repost_item_id ) repost_year ON repost_year.track_id = t.track_id -- -- join on subquery for reposts by month LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 month') GROUP BY r.repost_item_id ) repost_month ON repost_month.track_id = t.track_id -- -- join on subquery for reposts by week LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 week') GROUP BY r.repost_item_id ) repost_week ON repost_week.track_id = t.track_id -- -- join on subquery for saves by year LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 year') GROUP BY r.save_item_id ) save_year ON save_year.track_id = t.track_id -- -- join on subquery for saves by month LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 month') GROUP BY r.save_item_id ) save_month ON save_month.track_id = t.track_id -- -- join on subquery for saves by week LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 week') GROUP BY r.save_item_id ) save_week ON save_week.track_id = t.track_id LEFT OUTER JOIN ( SELECT save_and_reposts.item_id as track_id, sum(au.follower_count) as karma FROM ( select r_and_s.user_id, r_and_s.item_id from (select user_id, repost_item_id as item_id from reposts where is_delete is false AND is_current is true AND repost_type = 'track' union all select user_id, save_item_id as item_id from saves where is_delete is false AND is_current is true AND save_type = 'track' ) r_and_s join users on r_and_s.user_id = users.user_id where users.cover_photo is not null AND users.profile_picture is not null AND users.bio is not null ) save_and_reposts JOIN aggregate_user au ON save_and_reposts.user_id = au.user_id GROUP BY save_and_reposts.item_id ) karma ON karma.track_id = t.track_id WHERE t.is_current is True AND t.is_delete is False AND t.is_unlisted is False AND t.stem_of is Null; CREATE INDEX trending_params_track_id_idx ON trending_params (track_id); END IF; END $do$ """ conn.execute(query) def downgrade(): conn = op.get_bind() query = """ begin; -- drop dependent mat views and aggregate_plays table DROP MATERIALIZED VIEW IF EXISTS trending_params; DROP TABLE IF EXISTS aggregate_plays; --- ======================= AGGREGATE PLAYS ======================= from version 776ca72b16db DROP MATERIALIZED VIEW IF EXISTS aggregate_plays; DROP INDEX IF EXISTS play_item_id_idx; CREATE MATERIALIZED VIEW aggregate_plays as SELECT plays.play_item_id as play_item_id, count(*) as count FROM plays GROUP BY plays.play_item_id; -- add index on above materialized view CREATE INDEX play_item_id_idx ON aggregate_plays (play_item_id); -- trending_params from 92571f94989a CREATE MATERIALIZED VIEW trending_params as SELECT t.track_id as track_id, t.genre as genre, t.owner_id as owner_id, ap.play_count as play_count, au.follower_count as owner_follower_count, COALESCE (aggregate_track.repost_count, 0) as repost_count, COALESCE (aggregate_track.save_count, 0) as save_count, COALESCE (repost_week.repost_count, 0) as repost_week_count, COALESCE (repost_month.repost_count, 0) as repost_month_count, COALESCE (repost_year.repost_count, 0) as repost_year_count, COALESCE (save_week.repost_count, 0) as save_week_count, COALESCE (save_month.repost_count, 0) as save_month_count, COALESCE (save_year.repost_count, 0) as save_year_count, COALESCE (karma.karma, 0) as karma FROM tracks t -- join on subquery for aggregate play count LEFT OUTER JOIN ( SELECT ap.count as play_count, ap.play_item_id as play_item_id FROM aggregate_plays ap ) as ap ON ap.play_item_id = t.track_id -- join on subquery for aggregate user LEFT OUTER JOIN ( SELECT au.user_id as user_id, au.follower_count as follower_count FROM aggregate_user au ) as au ON au.user_id = t.owner_id -- join on subquery for aggregate track LEFT OUTER JOIN ( SELECT aggregate_track.track_id as track_id, aggregate_track.repost_count as repost_count, aggregate_track.save_count as save_count FROM aggregate_track ) as aggregate_track ON aggregate_track.track_id = t.track_id -- -- join on subquery for reposts by year LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 year') GROUP BY r.repost_item_id ) repost_year ON repost_year.track_id = t.track_id -- -- join on subquery for reposts by month LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 month') GROUP BY r.repost_item_id ) repost_month ON repost_month.track_id = t.track_id -- -- join on subquery for reposts by week LEFT OUTER JOIN ( SELECT r.repost_item_id as track_id, count(r.repost_item_id) as repost_count FROM reposts r WHERE r.is_current is True AND r.repost_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 week') GROUP BY r.repost_item_id ) repost_week ON repost_week.track_id = t.track_id -- -- join on subquery for saves by year LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 year') GROUP BY r.save_item_id ) save_year ON save_year.track_id = t.track_id -- -- join on subquery for saves by month LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 month') GROUP BY r.save_item_id ) save_month ON save_month.track_id = t.track_id -- -- join on subquery for saves by week LEFT OUTER JOIN ( SELECT r.save_item_id as track_id, count(r.save_item_id) as repost_count FROM saves r WHERE r.is_current is True AND r.save_type = 'track' AND r.is_delete is False AND r.created_at > (now() - interval '1 week') GROUP BY r.save_item_id ) save_week ON save_week.track_id = t.track_id LEFT OUTER JOIN ( SELECT save_and_reposts.item_id as track_id, sum(au.follower_count) as karma FROM ( select r_and_s.user_id, r_and_s.item_id from (select user_id, repost_item_id as item_id from reposts where is_delete is false AND is_current is true AND repost_type = 'track' union all select user_id, save_item_id as item_id from saves where is_delete is false AND is_current is true AND save_type = 'track' ) r_and_s join users on r_and_s.user_id = users.user_id where users.cover_photo is not null AND users.profile_picture is not null AND users.bio is not null ) save_and_reposts JOIN aggregate_plays au ON save_and_reposts.user_id = au.user_id GROUP BY save_and_reposts.item_id ) karma ON karma.track_id = t.track_id WHERE t.is_current is True AND t.is_delete is False AND t.is_unlisted is False AND t.stem_of is Null; CREATE INDEX trending_params_track_id_idx ON trending_params (track_id); commit; """ conn.execute(query)

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null

0

8

a1b20ae37f1f0b68baa57075525d760225dacef3

8,905

py

Python

api/resources.py

annevandalfsen/screenbird

38b70302be3b3dc0c74b6aae8e09666115592aef

[ "MIT", "Unlicense" ]

121

2015-01-01T23:31:36.000Z

2021-05-27T04:24:44.000Z

api/resources.py

annevandalfsen/screenbird

38b70302be3b3dc0c74b6aae8e09666115592aef

[ "MIT", "Unlicense" ]

1

2021-06-10T23:44:37.000Z

api/resources.py

annevandalfsen/screenbird

38b70302be3b3dc0c74b6aae8e09666115592aef

[ "MIT", "Unlicense" ]

31

2015-01-13T00:23:33.000Z

2017-05-13T21:50:29.000Z

from django.core.urlresolvers import reverse from djangorestframework.compat import View from djangorestframework.mixins import ResponseMixin from djangorestframework.renderers import JSONRenderer from django.contrib.auth.models import User from djangorestframework.resources import ModelResource from djangorestframework.response import Response from accounts.models import UserProfile from videos.models import Video, Channel def is_allowed(user): """ """ return (user.userprofile.is_paid) or (user.userprofile.is_using_trial) or (user.userprofile.api_key) class VideoResource(ResponseMixin, View): """ Returns all videos under the account of the api_key provided. The format of the response is in JSON. """ renderers = [JSONRenderer,] csrf_exempt = True def get(self, request): key = request.GET.get('api_key', None) account_id = -1 if key: userprofile = None try: userprofile = UserProfile.objects.get(api_key=key) account_id = userprofile.user_id except: pass if userprofile: user = None try: user = User.objects.get(pk=account_id) except: pass if user: if is_allowed(user): videos = Video.objects.filter(uploader__id=account_id) json_videos = [] for video in videos: channel_name = None if video.channel: channel_name = video.channel.name json_videos.append( { 'id':video.id, 'channel':channel_name, 'url':video.get_absolute_url(), 'title':video.title, 'embed_code':video.get_embed_code() } ) response = Response(200, {'success':True,'videos':json_videos} ) else: response = Response(401) else: response = Response(401) else: response = Response(401) else: response = Response(400) return self.render(response) class ChannelVideoResource(ResponseMixin, View): """ Returns all videos under the channel of an account of the api_key provided. The format of the response is in JSON. """ renderers = [JSONRenderer,] csrf_exempt = True def get(self, request): channel_link = request.GET.get('channel_link', None) key = request.GET.get('api_key', None) account_id = -1 if key and channel_link: userprofile = None try: userprofile = UserProfile.objects.get(api_key=key) account_id = userprofile.user_id except: pass channel = None try: channel = Channel.objects.get(api_link=channel_link) except: pass if channel: if (channel.owner.id == account_id) and is_allowed(channel.owner): videos = Video.objects.filter(channel=channel) json_videos = [] for video in videos: channel_name = None if video.channel: channel_name = video.channel.name json_videos.append( { 'id':video.id, 'channel':channel_name, 'url':video.get_absolute_url(), 'title':video.title, 'embed_code':video.get_embed_code() } ) response = Response(200, {'success':True,'videos':json_videos} ) else: response = Response(401) else: response = Response(401) else: response = Response(401) return self.render(response) class LatestVideoResource(ResponseMixin, View): """ Returns the latest video under the account of the api_key provided. The format of the response is in JSON. """ renderers = [JSONRenderer,] csrf_exempt = True def get(self, request): key = request.GET.get('api_key', None) account_id = -1 if key: userprofile = None try: userprofile = UserProfile.objects.get(api_key=key) account_id = userprofile.user_id except: pass if userprofile: user = None try: user = User.objects.get(pk=account_id) except: pass if user: if is_allowed(user): videos = Video.objects.filter(uploader__id=account_id).order_by('-created')[:1:] json_videos = [] for video in videos: channel_name = None if video.channel: channel_name = video.channel.name json_videos.append( { 'id':video.id, 'channel':channel_name, 'url':video.get_absolute_url(), 'title':video.title, 'embed_code':video.get_embed_code() } ) response = Response(200, {'success':True,'videos':json_videos} ) else: response = Response(401) else: response = Response(401) else: response = Response(401) else: response = Response(400) return self.render(response) class LatestChannelVideoResource(ResponseMixin, View): renderers = [JSONRenderer,] csrf_exempt = True def get(self, request): key = request.GET.get('api_key', None) channel_link = request.GET.get('channel_link', None) account_id = -1 if key and channel_link: userprofile = None try: userprofile = UserProfile.objects.get(api_key=key) account_id = userprofile.user_id except: pass channel = None try: channel = Channel.objects.get(api_link=channel_link) except: pass if channel: if (channel.owner.id == account_id) and is_allowed(channel.owner): videos = Video.objects.filter(channel=channel).order_by('-created')[:1:] json_videos = [] for video in videos: channel_name = None if video.channel: channel_name = video.channel.name json_videos.append( { 'id':video.id, 'channel':channel_name, 'url':video.get_absolute_url(), 'title':video.title, 'embed_code':video.get_embed_code() } ) response = Response(200, {'success':True,'videos':json_videos} ) else: response = Response(401) else: response = Response(401) else: response = Response(401) return self.render(response)

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0

1

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null

0

8

a1d654cdbf9f078019f0d284acb1af615b604380

1,239

py

Python

tests/test_core_parser_base.py

ejoerns/flamingo

1d61c99c9ad34dd0a2a652f80783226051e07238

[ "Apache-2.0" ]

null

tests/test_core_parser_base.py

ejoerns/flamingo

1d61c99c9ad34dd0a2a652f80783226051e07238

[ "Apache-2.0" ]

null

tests/test_core_parser_base.py

ejoerns/flamingo

1d61c99c9ad34dd0a2a652f80783226051e07238

[ "Apache-2.0" ]

null

def test_base_parser_import(): from flamingo.core.parser import ContentParser # NOQA def test_meta_data_parsing(): from io import StringIO from flamingo.core.parser import ContentParser from flamingo.core.data_model import Content raw_content = StringIO(""" a: content of a b: content of b c: a, b, c content """) parser = ContentParser() content = Content() parser.parse(raw_content, content) assert sorted(list(content.data.keys())) == ['a', 'b', 'c', 'content_body'] assert content['a'] == 'content of a' assert content['b'] == 'content of b' assert content['c'].strip() == 'a, b, c' assert content['content_body'] == 'content' # test with whitespaces raw_content = StringIO(""" a: content of a b: content of b c: a, b, c content """) # NOQA parser = ContentParser() content = Content() parser.parse(raw_content, content) assert sorted(list(content.data.keys())) == ['a', 'b', 'c', 'content_body'] assert content['a'] == 'content of a' assert content['b'] == 'content of b' assert content['c'].strip() == 'a, b, c' assert content['content_body'] == 'content'

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null

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null

0

7

a1f58e5f63b2bbee8b0c6e6daf3639345ffeee47

167

py

Python

python/testData/surround/CustomFoldingRegionSeveralMethods_after.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

null

python/testData/surround/CustomFoldingRegionSeveralMethods_after.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

null

python/testData/surround/CustomFoldingRegionSeveralMethods_after.py

teddywest32/intellij-community

e0268d7a1da1d318b441001448cdd3e8929b2f29

[ "Apache-2.0" ]

1

2020-11-27T10:36:50.000Z

class C: def m1(self): pass # <editor-fold desc="Description"> def m2(self): pass def m3(self): pass # </editor-fold>

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62983c086dd7e849d4f05d580b280f039ed2b429

18,686

py

Python

tests/test_decompressor_stream_reader.py

odidev/python-zstandard

477776e6019478ca1c0b5777b073afbec70975f5

[ "BSD-3-Clause" ]

316

2016-09-04T19:00:27.000Z

2022-03-30T09:52:10.000Z

tests/test_decompressor_stream_reader.py

odidev/python-zstandard

477776e6019478ca1c0b5777b073afbec70975f5

[ "BSD-3-Clause" ]

154

2016-09-30T03:12:16.000Z

2022-03-02T21:08:55.000Z

tests/test_decompressor_stream_reader.py

odidev/python-zstandard

477776e6019478ca1c0b5777b073afbec70975f5

[ "BSD-3-Clause" ]

67

2016-11-04T13:03:20.000Z

2022-03-28T22:19:51.000Z

import io import os import unittest import zstandard as zstd from .common import ( CustomBytesIO, ) class TestDecompressor_stream_reader(unittest.TestCase): def test_context_manager(self): dctx = zstd.ZstdDecompressor() with dctx.stream_reader(b"foo") as reader: with self.assertRaisesRegex( ValueError, "cannot __enter__ multiple times" ): with reader as reader2: pass def test_not_implemented(self): dctx = zstd.ZstdDecompressor() with dctx.stream_reader(b"foo") as reader: with self.assertRaises(io.UnsupportedOperation): reader.readline() with self.assertRaises(io.UnsupportedOperation): reader.readlines() with self.assertRaises(io.UnsupportedOperation): iter(reader) with self.assertRaises(io.UnsupportedOperation): next(reader) with self.assertRaises(io.UnsupportedOperation): reader.write(b"foo") with self.assertRaises(io.UnsupportedOperation): reader.writelines([]) def test_constant_methods(self): dctx = zstd.ZstdDecompressor() with dctx.stream_reader(b"foo") as reader: self.assertFalse(reader.closed) self.assertTrue(reader.readable()) self.assertFalse(reader.writable()) self.assertFalse(reader.seekable()) self.assertFalse(reader.isatty()) self.assertFalse(reader.closed) self.assertIsNone(reader.flush()) self.assertFalse(reader.closed) self.assertTrue(reader.closed) def test_read_closed(self): dctx = zstd.ZstdDecompressor() with dctx.stream_reader(b"foo") as reader: reader.close() self.assertTrue(reader.closed) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.read(1) def test_read_sizes(self): cctx = zstd.ZstdCompressor() foo = cctx.compress(b"foo") dctx = zstd.ZstdDecompressor() with dctx.stream_reader(foo) as reader: with self.assertRaisesRegex( ValueError, "cannot read negative amounts less than -1" ): reader.read(-2) self.assertEqual(reader.read(0), b"") self.assertEqual(reader.read(), b"foo") def test_read_buffer(self): cctx = zstd.ZstdCompressor() source = b"".join([b"foo" * 60, b"bar" * 60, b"baz" * 60]) frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() with dctx.stream_reader(frame) as reader: self.assertEqual(reader.tell(), 0) # We should get entire frame in one read. result = reader.read(8192) self.assertEqual(result, source) self.assertEqual(reader.tell(), len(source)) # Read after EOF should return empty bytes. self.assertEqual(reader.read(1), b"") self.assertEqual(reader.tell(), len(result)) self.assertTrue(reader.closed) def test_read_buffer_small_chunks(self): cctx = zstd.ZstdCompressor() source = b"".join([b"foo" * 60, b"bar" * 60, b"baz" * 60]) frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() chunks = [] with dctx.stream_reader(frame, read_size=1) as reader: while True: chunk = reader.read(1) if not chunk: break chunks.append(chunk) self.assertEqual(reader.tell(), sum(map(len, chunks))) self.assertEqual(b"".join(chunks), source) def test_read_stream(self): cctx = zstd.ZstdCompressor() source = b"".join([b"foo" * 60, b"bar" * 60, b"baz" * 60]) frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() with dctx.stream_reader(io.BytesIO(frame)) as reader: self.assertEqual(reader.tell(), 0) chunk = reader.read(8192) self.assertEqual(chunk, source) self.assertEqual(reader.tell(), len(source)) self.assertEqual(reader.read(1), b"") self.assertEqual(reader.tell(), len(source)) self.assertFalse(reader.closed) self.assertTrue(reader.closed) def test_read_stream_small_chunks(self): cctx = zstd.ZstdCompressor() source = b"".join([b"foo" * 60, b"bar" * 60, b"baz" * 60]) frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() chunks = [] with dctx.stream_reader(io.BytesIO(frame), read_size=1) as reader: while True: chunk = reader.read(1) if not chunk: break chunks.append(chunk) self.assertEqual(reader.tell(), sum(map(len, chunks))) self.assertEqual(b"".join(chunks), source) def test_close(self): foo = zstd.ZstdCompressor().compress(b"foo" * 1024) buffer = io.BytesIO(foo) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(buffer) reader.read(3) self.assertFalse(reader.closed) self.assertFalse(buffer.closed) reader.close() self.assertTrue(reader.closed) self.assertTrue(buffer.closed) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.read() with self.assertRaisesRegex(ValueError, "stream is closed"): with reader: pass # Context manager exit should not close stream. buffer = io.BytesIO(foo) reader = dctx.stream_reader(buffer) with reader: reader.read(3) self.assertTrue(reader.closed) self.assertTrue(buffer.closed) # Context manager exit should close stream if an exception raised. buffer = io.BytesIO(foo) reader = dctx.stream_reader(buffer) with self.assertRaisesRegex(Exception, "ignore"): with reader: reader.read(3) raise Exception("ignore") self.assertTrue(reader.closed) self.assertTrue(buffer.closed) # Test with non-file source variant. with dctx.stream_reader(foo) as reader: reader.read(3) self.assertFalse(reader.closed) self.assertTrue(reader.closed) def test_close_closefd_false(self): foo = zstd.ZstdCompressor().compress(b"foo" * 1024) buffer = io.BytesIO(foo) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(buffer, closefd=False) reader.read(3) self.assertFalse(reader.closed) self.assertFalse(buffer.closed) reader.close() self.assertTrue(reader.closed) self.assertFalse(buffer.closed) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.read() with self.assertRaisesRegex(ValueError, "stream is closed"): with reader: pass # Context manager exit should not close stream. buffer = io.BytesIO(foo) reader = dctx.stream_reader(buffer, closefd=False) with reader: reader.read(3) self.assertTrue(reader.closed) self.assertFalse(buffer.closed) # Context manager exit should close stream if an exception raised. buffer = io.BytesIO(foo) reader = dctx.stream_reader(buffer, closefd=False) with self.assertRaisesRegex(Exception, "ignore"): with reader: reader.read(3) raise Exception("ignore") self.assertTrue(reader.closed) self.assertFalse(buffer.closed) # Test with non-file source variant. with dctx.stream_reader(foo, closefd=False) as reader: reader.read(3) self.assertFalse(reader.closed) self.assertTrue(reader.closed) def test_read_after_exit(self): cctx = zstd.ZstdCompressor() frame = cctx.compress(b"foo" * 60) dctx = zstd.ZstdDecompressor() with dctx.stream_reader(frame) as reader: while reader.read(16): pass self.assertTrue(reader.closed) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.read(10) def test_illegal_seeks(self): cctx = zstd.ZstdCompressor() frame = cctx.compress(b"foo" * 60) dctx = zstd.ZstdDecompressor() with dctx.stream_reader(frame) as reader: with self.assertRaisesRegex( OSError, "cannot seek to negative position" ): reader.seek(-1, os.SEEK_SET) reader.read(1) with self.assertRaisesRegex( OSError, "cannot seek zstd decompression stream backwards" ): reader.seek(0, os.SEEK_SET) with self.assertRaisesRegex( OSError, "cannot seek zstd decompression stream backwards" ): reader.seek(-1, os.SEEK_CUR) with self.assertRaisesRegex( OSError, "zstd decompression streams cannot be seeked with SEEK_END", ): reader.seek(0, os.SEEK_END) reader.close() with self.assertRaisesRegex(ValueError, "stream is closed"): reader.seek(4, os.SEEK_SET) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.seek(0) def test_seek(self): source = b"foobar" * 60 cctx = zstd.ZstdCompressor() frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() with dctx.stream_reader(frame) as reader: reader.seek(3) self.assertEqual(reader.read(3), b"bar") reader.seek(4, os.SEEK_CUR) self.assertEqual(reader.read(2), b"ar") def test_no_context_manager(self): source = b"foobar" * 60 cctx = zstd.ZstdCompressor() frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(frame) self.assertEqual(reader.read(6), b"foobar") self.assertEqual(reader.read(18), b"foobar" * 3) self.assertFalse(reader.closed) # Calling close prevents subsequent use. reader.close() self.assertTrue(reader.closed) with self.assertRaisesRegex(ValueError, "stream is closed"): reader.read(6) def test_read_after_error(self): source = io.BytesIO(b"") dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(source) with reader: reader.read(0) with self.assertRaisesRegex(ValueError, "stream is closed"): with reader: pass def test_partial_read(self): # Inspired by https://github.com/indygreg/python-zstandard/issues/71. buffer = io.BytesIO() cctx = zstd.ZstdCompressor() writer = cctx.stream_writer(buffer) writer.write(bytearray(os.urandom(1000000))) writer.flush(zstd.FLUSH_FRAME) buffer.seek(0) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(buffer) while True: chunk = reader.read(8192) if not chunk: break def test_read_multiple_frames(self): cctx = zstd.ZstdCompressor() source = io.BytesIO() writer = cctx.stream_writer(source) writer.write(b"foo") writer.flush(zstd.FLUSH_FRAME) writer.write(b"bar") writer.flush(zstd.FLUSH_FRAME) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(source.getvalue()) self.assertEqual(reader.read(2), b"fo") self.assertEqual(reader.read(2), b"o") self.assertEqual(reader.read(2), b"ba") self.assertEqual(reader.read(2), b"r") source.seek(0) reader = dctx.stream_reader(source) self.assertEqual(reader.read(2), b"fo") self.assertEqual(reader.read(2), b"o") self.assertEqual(reader.read(2), b"ba") self.assertEqual(reader.read(2), b"r") reader = dctx.stream_reader(source.getvalue()) self.assertEqual(reader.read(3), b"foo") self.assertEqual(reader.read(3), b"bar") source.seek(0) reader = dctx.stream_reader(source) self.assertEqual(reader.read(3), b"foo") self.assertEqual(reader.read(3), b"bar") reader = dctx.stream_reader(source.getvalue()) self.assertEqual(reader.read(4), b"foo") self.assertEqual(reader.read(4), b"bar") source.seek(0) reader = dctx.stream_reader(source) self.assertEqual(reader.read(4), b"foo") self.assertEqual(reader.read(4), b"bar") reader = dctx.stream_reader(source.getvalue()) self.assertEqual(reader.read(128), b"foo") self.assertEqual(reader.read(128), b"bar") source.seek(0) reader = dctx.stream_reader(source) self.assertEqual(reader.read(128), b"foo") self.assertEqual(reader.read(128), b"bar") # Now tests for reads spanning frames. reader = dctx.stream_reader(source.getvalue(), read_across_frames=True) self.assertEqual(reader.read(3), b"foo") self.assertEqual(reader.read(3), b"bar") source.seek(0) reader = dctx.stream_reader(source, read_across_frames=True) self.assertEqual(reader.read(3), b"foo") self.assertEqual(reader.read(3), b"bar") reader = dctx.stream_reader(source.getvalue(), read_across_frames=True) self.assertEqual(reader.read(6), b"foobar") source.seek(0) reader = dctx.stream_reader(source, read_across_frames=True) self.assertEqual(reader.read(6), b"foobar") reader = dctx.stream_reader(source.getvalue(), read_across_frames=True) self.assertEqual(reader.read(7), b"foobar") source.seek(0) reader = dctx.stream_reader(source, read_across_frames=True) self.assertEqual(reader.read(7), b"foobar") reader = dctx.stream_reader(source.getvalue(), read_across_frames=True) self.assertEqual(reader.read(128), b"foobar") source.seek(0) reader = dctx.stream_reader(source, read_across_frames=True) self.assertEqual(reader.read(128), b"foobar") def test_readinto(self): cctx = zstd.ZstdCompressor() foo = cctx.compress(b"foo") dctx = zstd.ZstdDecompressor() # Attempting to readinto() a non-writable buffer fails. # The exact exception varies based on the backend. reader = dctx.stream_reader(foo) with self.assertRaises(Exception): reader.readinto(b"foobar") # readinto() with sufficiently large destination. b = bytearray(1024) reader = dctx.stream_reader(foo) self.assertEqual(reader.readinto(b), 3) self.assertEqual(b[0:3], b"foo") self.assertEqual(reader.readinto(b), 0) self.assertEqual(b[0:3], b"foo") # readinto() with small reads. b = bytearray(1024) reader = dctx.stream_reader(foo, read_size=1) self.assertEqual(reader.readinto(b), 3) self.assertEqual(b[0:3], b"foo") # Too small destination buffer. b = bytearray(2) reader = dctx.stream_reader(foo) self.assertEqual(reader.readinto(b), 2) self.assertEqual(b[:], b"fo") def test_readinto1(self): cctx = zstd.ZstdCompressor() foo = cctx.compress(b"foo") dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(foo) with self.assertRaises(Exception): reader.readinto1(b"foobar") # Sufficiently large destination. b = bytearray(1024) reader = dctx.stream_reader(foo) self.assertEqual(reader.readinto1(b), 3) self.assertEqual(b[0:3], b"foo") self.assertEqual(reader.readinto1(b), 0) self.assertEqual(b[0:3], b"foo") # readinto() with small reads. b = bytearray(1024) reader = dctx.stream_reader(foo, read_size=1) self.assertEqual(reader.readinto1(b), 3) self.assertEqual(b[0:3], b"foo") # Too small destination buffer. b = bytearray(2) reader = dctx.stream_reader(foo) self.assertEqual(reader.readinto1(b), 2) self.assertEqual(b[:], b"fo") def test_readall(self): cctx = zstd.ZstdCompressor() foo = cctx.compress(b"foo") dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(foo) self.assertEqual(reader.readall(), b"foo") def test_read1(self): cctx = zstd.ZstdCompressor() foo = cctx.compress(b"foo") dctx = zstd.ZstdDecompressor() b = CustomBytesIO(foo) reader = dctx.stream_reader(b) self.assertEqual(reader.read1(), b"foo") self.assertEqual(b._read_count, 1) b = CustomBytesIO(foo) reader = dctx.stream_reader(b) self.assertEqual(reader.read1(0), b"") self.assertEqual(reader.read1(2), b"fo") self.assertEqual(b._read_count, 1) self.assertEqual(reader.read1(1), b"o") self.assertEqual(b._read_count, 1) self.assertEqual(reader.read1(1), b"") self.assertEqual(b._read_count, 2) def test_read_lines(self): cctx = zstd.ZstdCompressor() source = b"\n".join( ("line %d" % i).encode("ascii") for i in range(1024) ) frame = cctx.compress(source) dctx = zstd.ZstdDecompressor() reader = dctx.stream_reader(frame) tr = io.TextIOWrapper(reader, encoding="utf-8") lines = [] for line in tr: lines.append(line.encode("utf-8")) self.assertEqual(len(lines), 1024) self.assertEqual(b"".join(lines), source) reader = dctx.stream_reader(frame) tr = io.TextIOWrapper(reader, encoding="utf-8") lines = tr.readlines() self.assertEqual(len(lines), 1024) self.assertEqual("".join(lines).encode("utf-8"), source) reader = dctx.stream_reader(frame) tr = io.TextIOWrapper(reader, encoding="utf-8") lines = [] while True: line = tr.readline() if not line: break lines.append(line.encode("utf-8")) self.assertEqual(len(lines), 1024) self.assertEqual(b"".join(lines), source)

31.510961

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null

0

1

0

1

0

null

0

7

62aa2c2465ec06df3dd23e72da9632b91edb5253

5,358

py

Python

Freeze/setup_basic.py

wert23239/Meta-MarIO-2

54e19f4ba166180e3ede026d87824e8ee8877520

[ "MIT" ]

17

2017-07-05T15:00:33.000Z

2020-08-14T01:14:57.000Z

Freeze/setup_basic.py

wert23239/Meta-MarIO-2

54e19f4ba166180e3ede026d87824e8ee8877520

[ "MIT" ]

null

Freeze/setup_basic.py

wert23239/Meta-MarIO-2

54e19f4ba166180e3ede026d87824e8ee8877520

[ "MIT" ]

7

2017-07-18T03:22:32.000Z

2021-11-26T00:54:18.000Z

# -*- coding: utf-8 -*- # A very simple setup script to create a single executable # # hello.py is a very simple 'Hello, world' type script which also displays the # environment in which the script runs # Run the build process by running the command 'python setup.py build' # # If everything works well you should find a subdirectory in the build # subdirectory that contains the files needed to run the script without Python from cx_Freeze import setup, Executable import os os.environ['TCL_LIBRARY'] = "C:\\ProgramData\\Miniconda3\\tcl\\tcl8.6" os.environ['TK_LIBRARY'] = "C:\\ProgramData\\Miniconda3\\tcl\\tk8.6" addtional_mods = [] include_files=[ "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\cilkrts20.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\ifdlg100.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libchkp.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libicaf.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libifcoremd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libifcoremdd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libifcorert.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libifcorertd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libifportmd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libimalloc.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libiomp5md.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libiompstubs5md.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libmmd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libmmdd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\libmpx.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\liboffload.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_avx.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_avx2.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_avx512.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_avx512_mic.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_core.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_def.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_intel_thread.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_mc.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_mc3.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_msg.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_rt.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_sequential.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_tbb_thread.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_avx.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_avx2.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_avx512.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_avx512_mic.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_cmpt.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_def.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_mc.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_mc2.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\mkl_vml_mc3.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\Library\\bin\\svml_dispmd.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\DLL\\tcl86t.dll", "C:\\Users\\Jonny\\AppData\\Local\\conda\\conda\\envs\\deeplearning\\DLL\\tk86t.dll" ] disclude_mods=['Tkinter'] package_mods= ['numpy','matplotlib','tkinter'] executables = [ Executable('test.py') ] setup(name='tet', version='0.1', description='Sample cx_Freeze script', options = {'build_exe': {'includes': addtional_mods,'include_files': include_files ,'packages':package_mods,'excludes':disclude_mods }}, executables=executables )

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62b247dfe10ae2876917d349f541300f80deeedb

6,902

py

Python

smtbx/refinement/restraints/tests/test_adp_restraints.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

smtbx/refinement/restraints/tests/test_adp_restraints.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

smtbx/refinement/restraints/tests/test_adp_restraints.py

rimmartin/cctbx_project

644090f9432d9afc22cfb542fc3ab78ca8e15e5d

[ "BSD-3-Clause-LBNL" ]

null

from __future__ import absolute_import, division, print_function from libtbx.test_utils import approx_equal from smtbx.refinement.restraints import adp_restraints from smtbx import development from cctbx.array_family import flex from cctbx import crystal def get_pair_sym_table(xray_structure): asu_mappings = xray_structure.asu_mappings(buffer_thickness=3.5) pair_asu_table = crystal.pair_asu_table(asu_mappings=asu_mappings) scattering_types = xray_structure.scatterers().extract_scattering_types() pair_asu_table.add_covalent_pairs( scattering_types, exclude_scattering_types=flex.std_string(("H","D"))) return pair_asu_table.extract_pair_sym_table() def test_adp_similarity(): xray_structure = development.sucrose() pair_sym_table = get_pair_sym_table(xray_structure) for table in (None,pair_sym_table): if table is None: xs = xray_structure else: xs = None restraints = \ adp_restraints.adp_similarity_restraints( xray_structure=xs, pair_sym_table=table) assert restraints.proxies.size() == 24 i_seqs = (9,14,28,32,36,38) restraints = \ adp_restraints.adp_similarity_restraints( xray_structure=xs, pair_sym_table=table, i_seqs=i_seqs) expected_i_seqs = ((9,32),(14,36),(32,36),(36,38)) expected_weights = (625,156.25,625,625) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) # add more restraints to same shared proxy i_seqs = (3,23,40,42) restraints = \ adp_restraints.adp_similarity_restraints( xray_structure=xs, pair_sym_table=table, proxies=proxies, i_seqs=i_seqs) expected_i_seqs = ( (9,32),(14,36),(32,36),(36,38),(3,23),(40,42)) expected_weights = (625,156.25,625,625,156.25,625) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) def test_rigid_bond(): xray_structure = development.sucrose() pair_sym_table = get_pair_sym_table(xray_structure) for table in (None,pair_sym_table): if table is None: xs = xray_structure else: xs = None restraints = \ adp_restraints.rigid_bond_restraints( xray_structure=xs, pair_sym_table=table) assert restraints.proxies.size() == 60 i_seqs = (9,14,28,32,36,38) restraints = \ adp_restraints.rigid_bond_restraints( xray_structure=xs, pair_sym_table=table, i_seqs=i_seqs) expected_i_seqs = ( (9,32),(9,36),(14,36),(14,32),(14,38),(32,36),(32,38),(36,38)) expected_weights = [10000]*len(expected_i_seqs) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) # add more restraints to same shared proxy i_seqs = (10,40,42) restraints = \ adp_restraints.rigid_bond_restraints( xray_structure=xs, pair_sym_table=table, proxies=proxies, i_seqs=i_seqs) expected_i_seqs = ( (9,32),(9,36),(14,36),(14,32),(14,38),(32,36), (32,38),(36,38),(10,42),(10,40),(40,42)) expected_weights = [10000]*len(expected_i_seqs) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) def test_isotropic_adp(): xray_structure = development.sucrose() xray_structure.scatterers()[10].set_use_u_iso_only() pair_sym_table = get_pair_sym_table(xray_structure) for table in (None,pair_sym_table): restraints = \ adp_restraints.isotropic_adp_restraints( xray_structure=xray_structure, pair_sym_table=table) assert restraints.proxies.size() == 22 i_seqs = (9,14,28,32,36,38) expected_weights = (100,25,100,100,100,100) restraints = \ adp_restraints.isotropic_adp_restraints( xray_structure=xray_structure, pair_sym_table=table, i_seqs=i_seqs) proxies = restraints.proxies assert proxies.size() == len(i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs[0], i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) # add more restraints to same shared proxy i_seqs = (3,5,42) restraints = \ adp_restraints.isotropic_adp_restraints( xray_structure=xray_structure, pair_sym_table=table, proxies=proxies, i_seqs=i_seqs) expected_i_seqs = (9,14,28,32,36,38,3,5,42) expected_weights = (100,25,100,100,100,100,25,25,100) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs[0], expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) def test_rigu(): xray_structure = development.sucrose() pair_sym_table = get_pair_sym_table(xray_structure) for table in (None,pair_sym_table): if table is None: xs = xray_structure else: xs = None restraints = \ adp_restraints.rigu_restraints( xray_structure=xs, pair_sym_table=table) assert restraints.proxies.size() == 60 i_seqs = (9,14,28,32,36,38) restraints = \ adp_restraints.rigu_restraints( xray_structure=xs, pair_sym_table=table, i_seqs=i_seqs) expected_i_seqs = ( (9,32),(9,36),(14,36),(14,32),(14,38),(32,36),(32,38),(36,38)) expected_weights = [62500]*len(expected_i_seqs) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i]) # add more restraints to same shared proxy i_seqs = (10,40,42) restraints = \ adp_restraints.rigu_restraints( xray_structure=xs, pair_sym_table=table, proxies=proxies, i_seqs=i_seqs) expected_i_seqs = ( (9,32),(9,36),(14,36),(14,32),(14,38),(32,36), (32,38),(36,38),(10,42),(10,40),(40,42)) expected_weights = [62500]*len(expected_i_seqs) proxies = restraints.proxies assert proxies.size() == len(expected_i_seqs) for i in range(proxies.size()): assert approx_equal(proxies[i].i_seqs, expected_i_seqs[i]) assert approx_equal(proxies[i].weight, expected_weights[i])

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0

7

62f272a3adb4038b3f712a93a6fe7ba468ed8288

5,786

py

Python

deeprob/spn/learning/splitting/cluster.py

fedelux3/deeprob-kit

3bae5ab1a36b13ee1317f650e68e2d310dbf403c

[ "MIT" ]

null

deeprob/spn/learning/splitting/cluster.py

fedelux3/deeprob-kit

3bae5ab1a36b13ee1317f650e68e2d310dbf403c

[ "MIT" ]

null

deeprob/spn/learning/splitting/cluster.py

fedelux3/deeprob-kit

3bae5ab1a36b13ee1317f650e68e2d310dbf403c

[ "MIT" ]

null

import warnings import numpy as np from typing import Union, Type, List from sklearn import mixture, cluster from sklearn.exceptions import ConvergenceWarning from deeprob.spn.structure.leaf import Leaf, LeafType from deeprob.utils.data import mixed_ohe_data def gmm( data: np.ndarray, distributions: List[Type[Leaf]], domains: List[Union[list, tuple]], random_state: np.random.RandomState, n: int = 2 ) -> np.ndarray: """ Execute GMM clustering on some data. :param data: The data. :param distributions: The data distributions. :param domains: The data domains. :param random_state: The random state. :param n: The number of clusters. :return: An array where each element is the cluster where the corresponding data belong. """ # Convert the data using One Hot Encoding, in case of non-binary discrete features if any([len(d) > 2 for d in domains]): data = mixed_ohe_data(data, domains) # Apply GMM with warnings.catch_warnings(): warnings.simplefilter(action='ignore', category=ConvergenceWarning) # Ignore convergence warnings return mixture.GaussianMixture(n, n_init=3, random_state=random_state).fit_predict(data) def kmeans( data: np.ndarray, distributions: List[Type[Leaf]], domains: List[Union[list, tuple]], random_state: np.random.RandomState, n: int = 2 ) -> np.ndarray: """ Execute K-Means clustering on some data. :param data: The data. :param distributions: The data distributions. :param domains: The data domains. :param random_state: The random state. :param n: The number of clusters. :return: An array where each element is the cluster where the corresponding data belong. """ # Convert the data using One Hot Encoding, in case of non-binary discrete features if any([len(d) > 2 for d in domains]): data = mixed_ohe_data(data, domains) # Apply K-Means with warnings.catch_warnings(): warnings.simplefilter(action='ignore', category=ConvergenceWarning) # Ignore convergence warnings return cluster.KMeans(n, n_init=5, random_state=random_state).fit_predict(data) def kmeans_mb( data: np.ndarray, distributions: List[Type[Leaf]], domains: List[Union[list, tuple]], random_state: np.random.RandomState, n: int = 2 ) -> np.ndarray: """ Execute MiniBatch K-Means clustering on some data. :param data: The data. :param distributions: The data distributions. :param domains: The data domains. :param random_state: The random state. :param n: The number of clusters. :return: An array where each element is the cluster where the corresponding data belong. """ # Convert the data using One Hot Encoding, in case of non-binary discrete features if any([len(d) > 2 for d in domains]): data = mixed_ohe_data(data, domains) # Apply K-Means MiniBatch with warnings.catch_warnings(): warnings.simplefilter(action='ignore', category=ConvergenceWarning) # Ignore convergence warnings warnings.simplefilter(action='ignore', category=UserWarning) # Ignore user warnings return cluster.MiniBatchKMeans(n, n_init=5, random_state=random_state).fit_predict(data) def dbscan( data: np.ndarray, distributions: List[Type[Leaf]], domains: List[Union[list, tuple]], random_state: np.random.RandomState, n: int = 2 ) -> np.ndarray: """ Execute DBSCAN clustering on some data (only on discrete data). :param data: The data. :param distributions: The data distributions. :param domains: The data domains. :param random_state: The random state. :param n: The number of clusters. :return: An array where each element is the cluster where the corresponding data belong. :raises ValueError: If the leaf distributions are NOT discrete. """ # Control if distribution are binary if not all([x.LEAF_TYPE == LeafType.DISCRETE for x in distributions]): raise ValueError('DBScan clustering can be applied only on discrete attributes') # Convert the data using One Hot Encoding, in case of non-binary discrete features if any([len(d) > 2 for d in domains]): data = mixed_ohe_data(data, domains) # Apply DBSCAN with warnings.catch_warnings(): warnings.simplefilter(action='ignore', category=ConvergenceWarning) # Ignore convergence warnings return cluster.DBSCAN(eps = 0.25, n_jobs=-1).fit_predict(data) def wald( data: np.ndarray, distributions: List[Type[Leaf]], domains: List[Union[list, tuple]], random_state: np.random.RandomState, n: int = 2 ) -> np.ndarray: """ Execute Ward (Hierarchical) clustering on some data (only discrete data). :param data: The data. :param distributions: The data distributions. :param domains: The data domains. :param random_state: The random state. :param n: The number of clusters. :return: An array where each element is the cluster where the corresponding data belong. :raises ValueError: If the leaf distributions are NOT discrete. """ # Control if distribution are binary if not all([x.LEAF_TYPE == LeafType.DISCRETE for x in distributions]): raise ValueError('DBScan clustering can be applied only on discrete attributes') # Convert the data using One Hot Encoding, in case of non-binary discrete features if any([len(d) > 2 for d in domains]): data = mixed_ohe_data(data, domains) # Apply Wald with warnings.catch_warnings(): warnings.simplefilter(action='ignore', category=ConvergenceWarning) # Ignore convergence warnings return cluster.AgglomerativeClustering(n, linkage='ward').fit_predict(data)

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1

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null

0

7

1a019fe1d5c6c3295069517b9ad8eac7282f6fa9

1,241

py

Python

src/Problem8.py

BrunoMNDantas/ProjectEuler

d7548931c8c450fc8c53a939df349575b9994702

[ "MIT" ]

null

src/Problem8.py

BrunoMNDantas/ProjectEuler

d7548931c8c450fc8c53a939df349575b9994702

[ "MIT" ]

null

src/Problem8.py

BrunoMNDantas/ProjectEuler

d7548931c8c450fc8c53a939df349575b9994702

[ "MIT" ]

null

from functools import reduce num = """7316717653133062491922511967442657474235534919493496983520312774506326239578318016984801869478851843858615607891129494954595017379583319528532088055111254069874715852386305071569329096329522744304355766896648950445244523161731856403098711121722383113622298934233803081353362766142828064444866452387493035890729629049156044077239071381051585930796086670172427121883998797908792274921901699720888093776657273330010533678812202354218097512545405947522435258490771167055601360483958644670632441572215539753697817977846174064955149290862569321978468622482839722413756570560574902614079729686524145351004748216637048440319989000889524345065854122758866688116427171479924442928230863465674813919123162824586178664583591245665294765456828489128831426076900422421902267105562632111110937054421750694165896040807198403850962455444362981230987879927244284909188845801561660979191338754992005240636899125607176060588611646710940507754100225698315520005593572972571636269561882670428252483600823257530420752963450""" largest = 0 for i in range(0, len(num)-13): window = map(int, num[i:i+13]) product = reduce(lambda a,b: a*b, window) if product > largest: largest = product print(largest)

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c52c15da86e136ba16cf05ec84de30ca4ebdcc4d

8,634

py

Python

changelog_generator/tests/test_generator.py

nghialt/gitlab-changelog-generator

d9af4baa1d76ab9436548e47842eb80935f9a8bd

[ "MIT" ]

3

2019-11-01T15:13:31.000Z

2020-02-03T06:27:16.000Z

changelog_generator/tests/test_generator.py

nghialt/gitlab-changelog-generator

d9af4baa1d76ab9436548e47842eb80935f9a8bd

[ "MIT" ]

19

2018-06-17T21:07:32.000Z

2020-06-04T07:07:41.000Z

changelog_generator/tests/test_generator.py

nghialt/gitlab-changelog-generator

d9af4baa1d76ab9436548e47842eb80935f9a8bd

[ "MIT" ]

5

2018-11-24T08:04:39.000Z

2020-10-28T19:54:29.000Z

import datetime import mock import unittest from changelog_generator.generator import ( generate_changelog, get_closed_issues_since_last_tag, ) class TestGenerator(unittest.TestCase): @mock.patch( "changelog_generator.generator.get_closed_issues_since_last_tag" ) @mock.patch("os.path.isfile") @mock.patch("changelog_generator.generator.get_commits_since_date") @mock.patch("changelog_generator.generator.get_last_commit_date") def test_generate_changelog_existing( self, mock_get_commit_date, mock_get_commits, mock_is_file, mock_closed_issues, ): mock_is_file.return_value = True mock_get_commit_date.return_value = "2018-06-10T14:01:45.000000+00:00" mock_get_commits.return_value = [ { "parent_ids": ["06f7e730ff5edcc5a955d939c1e39ac363ad3e41"], "committed_date": "2018-06-10T14:01:44.000+00:00", "message": "Test commit message", } ] mock_closed_issues.return_value = [ { "title": "A Closed Issue", "closed_at": "2018-06-10T14:01:44.000+00:00", } ] cli_args = { "ip_address": "localhost", "api_version": "4", "project_group": "test-group", "project": "test-project", "branch_one": "release", "branch_two": "master", "version": "1", "changelog": "N", } with mock.patch("builtins.open", mock.mock_open()) as mock_file: result = generate_changelog(cli_args) mock_file.assert_called_once_with(mock.ANY, "w") mock_file_write_calls = [ mock.call( f"## v1 ({datetime.datetime.now().strftime('%Y-%m-%d')})\n" ), mock.call("* 2018-06-10 - Test commit message \n"), mock.call("\n### Closed Issues\n"), mock.call("* A Closed Issue"), ] mock_file().write.assert_has_calls(mock_file_write_calls) self.assertEqual( result, "CHANGELOG_generated.md written successfully" ) @mock.patch( "changelog_generator.generator.get_closed_issues_since_last_tag" ) @mock.patch("changelog_generator.generator.datetime") @mock.patch("os.path.isfile") @mock.patch("changelog_generator.generator.get_commits_since_date") @mock.patch("changelog_generator.generator.get_last_commit_date") def test_generate_changelog_update( self, mock_get_commit_date, mock_get_commits, mock_is_file, mock_datetime, mock_closed_issues, ): mock_datetime.datetime.now.return_value = datetime.date(2018, 6, 18) mock_is_file.return_value = True mock_get_commit_date.return_value = "2018-06-10T14:01:45.000000+00:00" mock_get_commits.return_value = [ { "parent_ids": ["06f7e730ff5edcc5a955d939c1e39ac363ad3e41"], "committed_date": "2018-06-10T14:01:44.000+00:00", "message": "Test commit message", } ] mock_closed_issues.return_value = [ { "title": "A Closed Issue", "closed_at": "2018-06-10T14:01:44.000+00:00", } ] cli_args = { "ip_address": "localhost", "api_version": "4", "project_group": "test-group", "project": "test-project", "branch_one": "release", "branch_two": "master", "version": "1", "changelog": "Y", } with mock.patch( "builtins.open", mock.mock_open(read_data="Existing data") ) as mock_file: result = generate_changelog(cli_args) mock_file.assert_called_with(mock.ANY, "w") mock_file().write.assert_has_calls( [ mock.call("## v1 (2018-06-18)\n"), mock.call("* 2018-06-10 - Test commit message \n"), mock.call("\n### Closed Issues\n"), mock.call("* A Closed Issue"), mock.call("\n"), mock.call("Existing data"), ] ) self.assertEqual(result, "CHANGELOG.md updated successfully") @mock.patch( "changelog_generator.generator.get_closed_issues_since_last_tag" ) @mock.patch("os.path.isfile") @mock.patch("changelog_generator.generator.get_commits_since_date") @mock.patch("changelog_generator.generator.get_last_commit_date") def test_generate_changelog_new( self, mock_get_commit_date, mock_get_commits, mock_is_file, mock_closed_issues, ): mock_is_file.return_value = False mock_get_commit_date.return_value = "2018-06-10T14:01:45.000000+00:00" mock_get_commits.return_value = [ { "parent_ids": ["06f7e730ff5edcc5a955d939c1e39ac363ad3e41"], "committed_date": "2018-06-10T14:01:44.000+00:00", "message": "Test commit message", } ] mock_closed_issues.return_value = [ { "title": "A Closed Issue", "closed_at": "2018-06-10T14:01:44.000+00:00", } ] cli_args = { "ip_address": "localhost", "api_version": "4", "project_group": "test-group", "project": "test-project", "branch_one": "release", "branch_two": "master", "version": "1", "changelog": "N", } with mock.patch("builtins.open", mock.mock_open()) as mock_file: result = generate_changelog(cli_args) mock_file.assert_called_once_with(mock.ANY, "w") mock_file_write_calls = [ mock.call( f"## v1 ({datetime.datetime.now().strftime('%Y-%m-%d')})\n" ), mock.call("* 2018-06-10 - Test commit message \n"), mock.call("\n### Closed Issues\n"), mock.call("* A Closed Issue"), ] mock_file().write.assert_has_calls(mock_file_write_calls) self.assertEqual( result, "New CHANGELOG.md file written successfully" ) @mock.patch("changelog_generator.generator.get_closed_issues_for_project") @mock.patch("changelog_generator.generator.get_last_tagged_release_date") def test_get_closed_issues_since_last_tag( self, mock_release_date, mock_closed_project_issues ): mock_release_date.return_value = "2018-06-10T14:01:44.000+00:00" mock_closed_project_issues.return_value = [ { "closed_at": "2050-06-10T14:01:44.000+00:00", "title": "A Closed Issue", "assignee": 1, } ] cli_args = { "ip_address": "localhost", "api_version": "4", "project_group": "test-group", "project": "test-project", "branch_one": "release", "branch_two": "master", "version": "1", "changelog": "N", } self.assertEqual( get_closed_issues_since_last_tag(cli_args), [ { "closed_at": "2050-06-10T14:01:44.000+00:00", "title": "A Closed Issue", } ], ) @mock.patch("changelog_generator.generator.get_closed_issues_for_project") @mock.patch("changelog_generator.generator.get_last_tagged_release_date") def test_get_closed_issues_since_last_tag_no_issues( self, mock_release_date, mock_closed_project_issues ): mock_release_date.return_value = "2018-06-10T14:01:44.000+00:00" mock_closed_project_issues.return_value = [ { "closed_at": "1990-06-10T14:01:44.000+00:00", "title": "A Closed Issue", "assignee": 1, } ] cli_args = { "ip_address": "localhost", "api_version": "4", "project_group": "test-group", "project": "test-project", "branch_one": "release", "branch_two": "master", "version": "1", "changelog": "N", } self.assertEqual(get_closed_issues_since_last_tag(cli_args), [])

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7

c53fc1094ee2b1d2deb48f45954b6913c7d8c311

1,977

py

Python

portfolio/migrations/0001_initial.py

aru456/Personal-Portfolio-Website

32979eb1b006285c93ac6381ca4e557e189ef0e3

[ "MIT" ]

null

portfolio/migrations/0001_initial.py

aru456/Personal-Portfolio-Website

32979eb1b006285c93ac6381ca4e557e189ef0e3

[ "MIT" ]

null

portfolio/migrations/0001_initial.py

aru456/Personal-Portfolio-Website

32979eb1b006285c93ac6381ca4e557e189ef0e3

[ "MIT" ]

null

# Generated by Django 3.0.5 on 2020-05-28 18:48 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='about', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100)), ('description', models.TextField()), ], ), migrations.CreateModel( name='achievements', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100)), ('description', models.TextField()), ], ), migrations.CreateModel( name='contact', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100)), ('description', models.TextField()), ], ), migrations.CreateModel( name='experience', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100)), ('description', models.TextField()), ], ), migrations.CreateModel( name='home', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100)), ('description', models.TextField()), ('image', models.ImageField(blank=True, upload_to='portfolio/images/')), ], ), ]

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7

3d9cf3fda194225eabfc1173613f5513f5c3043d

192

py

Python

Utils/__init__.py

Silvrash/codeForMe

b520d99c33b85df7ada14ccd2215bcd2df0d8a0c

[ "Apache-2.0" ]

null

Utils/__init__.py

Silvrash/codeForMe

b520d99c33b85df7ada14ccd2215bcd2df0d8a0c

[ "Apache-2.0" ]

null

Utils/__init__.py

Silvrash/codeForMe

b520d99c33b85df7ada14ccd2215bcd2df0d8a0c

[ "Apache-2.0" ]

null

import os def is_in_development_environment(): ''' Return True if code is running in a development environment ''' return 'prod' if os.environ.get('DATABASE_URI') else 'dev'

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7

3da3d0b693e3db9d790a6c4318bdc60f34e0a606

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py

Python

aw_nas/weights_manager/ofa_backbone.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

aw_nas/weights_manager/ofa_backbone.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

aw_nas/weights_manager/ofa_backbone.py

A-LinCui/Discriminator-Guiding-Knowledge-Distillation-MAR

e8caad8de2a559b9c9532448bdcdedd566cb2cfa

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Base class definition of OFA Backbone.""" import abc import copy import torch from torch import nn from aw_nas import Component from aw_nas.ops import * from aw_nas.ops.baseline_ops import MobileNetV2Block, MobileNetV3Block from aw_nas.utils import make_divisible, feature_level_to_stage_index from aw_nas.utils.common_utils import _get_channel_mask class FlexibleBlock(Component, nn.Module): REGISTRY = "ofa_block" def __init__(self, schedule_cfg=None): super(FlexibleBlock, self).__init__(schedule_cfg) nn.Module.__init__(self) def reset_mask(self): for m in self.modules(): if isinstance(m, FlexibleLayer): m.reset_mask() class FlexibleMobileNetV2Block(MobileNetV2Block, FlexibleBlock): NAME = "mbv2_block" def __init__( self, expansion, C, C_out, stride, kernel_sizes=(3, 5, 7), do_kernel_transform=True, affine=True, activation="relu", schedule_cfg=None, ): FlexibleBlock.__init__(self, schedule_cfg) self.activation = activation C_inner = make_divisible(C * expansion, 8) self.kernel_sizes = sorted(kernel_sizes) self.kernel_size = self.kernel_sizes[-1] self.do_kernel_transform = do_kernel_transform self.affine = affine inv_bottleneck = None if expansion != 1: inv_bottleneck = nn.Sequential( FlexiblePointLinear(C, C_inner, 1, 1, 0), FlexibleBatchNorm2d(C_inner, affine=affine), get_op(activation)(), ) depth_wise = nn.Sequential( FlexibleDepthWiseConv( C_inner, self.kernel_sizes, stride, do_kernel_transform=do_kernel_transform, ), FlexibleBatchNorm2d(C_inner, affine=affine), get_op(activation)(), ) point_linear = nn.Sequential( FlexiblePointLinear(C_inner, C_out, 1, 1, 0), FlexibleBatchNorm2d(C_out, affine=affine), ) super(FlexibleMobileNetV2Block, self).__init__( expansion, C, C_out, stride, self.kernel_size, affine, activation, inv_bottleneck, depth_wise, point_linear, ) self.reset_mask() def set_mask(self, expansion, kernel_size): mask = None if expansion is not None and expansion != self.expansion: filters = self.point_linear[0].weight.data mask = _get_channel_mask(filters, make_divisible(self.C * expansion, 8)) if self.inv_bottleneck: self.inv_bottleneck[0].set_mask(None, mask) self.inv_bottleneck[1].set_mask(mask) self.depth_wise[0].set_mask(mask, kernel_size) self.depth_wise[1].set_mask(mask) self.point_linear[0].set_mask(mask, None) def forward_rollout(self, inputs, expansion, kernel_size): self.set_mask(expansion, kernel_size) out = self.forward(inputs) self.reset_mask() return out def finalize(self): inv_bottleneck = None if self.inv_bottleneck: inv_bottleneck = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.inv_bottleneck ] ) depth_wise = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.depth_wise ] ) point_linear = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.point_linear ] ) return MobileNetV2Block( self.expansion, self.C, self.C_out, self.stride, self.kernel_size, self.affine, self.activation, inv_bottleneck, depth_wise, point_linear, ) class FlexibleMobileNetV3Block(MobileNetV3Block, FlexibleBlock): NAME = "mbv3_block" def __init__(self, expansion, C, C_out, stride, kernel_sizes=(3, 5, 7), do_kernel_transform=True, affine=True, activation="relu", use_se=False, schedule_cfg=None ): FlexibleBlock.__init__(self, schedule_cfg) self.expansion = expansion self.activation = activation self.C = C self.C_out = C_out self.C_inner = make_divisible(C * expansion, 8) self.stride = stride self.kernel_sizes = sorted(kernel_sizes) self.kernel_size = self.kernel_sizes[-1] self.do_kernel_transform = do_kernel_transform self.use_se = use_se self.affine = affine inv_bottleneck = None if expansion != 1: inv_bottleneck = nn.Sequential( FlexiblePointLinear(C, self.C_inner, 1, 1, 0), FlexibleBatchNorm2d(self.C_inner, affine=affine), get_op(activation)(), ) depth_wise = nn.Sequential( FlexibleDepthWiseConv( self.C_inner, self.kernel_sizes, stride, do_kernel_transform=do_kernel_transform, ), FlexibleBatchNorm2d(self.C_inner, affine=affine), get_op(activation)(), ) point_linear = nn.Sequential( FlexiblePointLinear(self.C_inner, C_out, 1, 1, 0), FlexibleBatchNorm2d(C_out, affine=affine), ) se = None if self.use_se: se = FlexibleSEModule(self.C_inner) super(FlexibleMobileNetV3Block, self).__init__( expansion, C, C_out, stride, self.kernel_size, affine, activation, use_se, inv_bottleneck, depth_wise, point_linear, se, ) self.reset_mask() def set_mask(self, expansion, kernel_size): mask = None if expansion != self.expansion: filters = self.point_linear[0].weight.data mask = _get_channel_mask(filters, make_divisible(self.C * expansion, 8)) if self.inv_bottleneck: self.inv_bottleneck[0].set_mask(None, mask) self.inv_bottleneck[1].set_mask(mask) self.depth_wise[0].set_mask(mask, kernel_size) self.depth_wise[1].set_mask(mask) self.point_linear[0].set_mask(mask, None) if self.se: self.se.set_mask(mask) def forward_rollout(self, inputs, expansion, kernel_size, drop_connect_rate=0.0): self.set_mask(expansion, kernel_size) out = self.forward(inputs, drop_connect_rate) self.reset_mask() return out def finalize(self): inv_bottleneck = None if self.inv_bottleneck: inv_bottleneck = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.inv_bottleneck ] ) depth_wise = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.depth_wise ] ) point_linear = nn.Sequential( *[ m.finalize() if isinstance(m, FlexibleLayer) else m for m in self.point_linear ] ) se = None if self.se: se = self.se.finalize() return MobileNetV3Block( self.expansion, self.C, self.C_out, self.stride, self.kernel_size, self.affine, self.activation, self.use_se, inv_bottleneck, depth_wise, point_linear, se, ) class BaseBackboneArch(Component, nn.Module): REGISTRY = "ofa_backbone" def __init__( self, device, blocks=[1, 4, 4, 4, 4, 4], strides=[1, 2, 2, 1, 2, 1], expansions=[1, 6, 6, 6, 6, 6], layer_channels=[16, 24, 40, 80, 96, 192, 320], mult_ratio=1.0, kernel_sizes=[3, 5, 7], do_kernel_transform=True, num_classes=10, cell_type="mbv2_cell", pretrained_path=None, schedule_cfg=None, ): super(BaseBackboneArch, self).__init__(schedule_cfg) nn.Module.__init__(self) self.device = device self.blocks = blocks self.strides = strides self.expansions = expansions self.channels = layer_channels self.mult_ratio = mult_ratio self.kernel_sizes = kernel_sizes self.do_kernel_transform = do_kernel_transform self.num_classes = num_classes self.pretrained_path = pretrained_path @abc.abstractmethod def make_stage( self, C_in, C_out, depth, stride, expansion, kernel_size, mult_ratio=1.0 ): """ make a serial of blocks as a stage """ class MobileNetV2Arch(BaseBackboneArch): NAME = "mbv2_backbone" """ According to the original papar MobileNet-V2, the standard architecture is: | input_ch | operator | t | c | n | s | | 3 | conv2d | - | 32 | 1 | 2 | | 32 | bottleneck | 1 | 16 | 1 | 1 | | 16 | bottleneck | 6 | 24 | 2 | 2 | | 24 | bottleneck | 6 | 32 | 3 | 2 | | 32 | bottleneck | 6 | 64 | 4 | 2 | | 64 | bottleneck | 6 | 96 | 3 | 1 | | 96 | bottleneck | 6 | 160 | 3 | 2 | | 160 | bottleneck | 6 | 320 | 1 | 1 | | 320 | conv2d 1x1 | - | 1280 | 1 | 1 | | 1280 | avgpool7x7 | - | - | 1 | - | | 1280 | conv2d 1x1 | - | k | - | | The first `conv2d` is called stem, and the last two `conv2d` are called "conv_final" and "classifier" respectively. However, in order to be compatible with MobileNet-V3, which has only 6 rather than 7 bottleneck stages, we fix the last bottleneck(160 -> 320) as t=6, n=1, k=3. """ def __init__( self, device, blocks=[1, 4, 4, 4, 4, 4], strides=[1, 2, 2, 2, 1, 2], expansions=[1, 6, 6, 6, 6, 6], layer_channels=[32, 16, 24, 32, 64, 96, 160, 320, 1280], mult_ratio=1.0, kernel_sizes=[3, 5, 7], do_kernel_transform=True, num_classes=10, block_type="mbv2_block", pretrained_path=None, stem_stride=2, schedule_cfg=None, ): super(MobileNetV2Arch, self).__init__( device, blocks, strides, expansions, layer_channels, mult_ratio, kernel_sizes, do_kernel_transform, num_classes, block_type, pretrained_path, schedule_cfg, ) self.block_initializer = FlexibleBlock.get_class_(block_type) self.stem_stride = stem_stride self.channels = [make_divisible(c * mult_ratio, 8) for c in layer_channels] self.stem = nn.Sequential( nn.Conv2d( 3, self.channels[0], kernel_size=3, stride=self.stem_stride, padding=1, bias=False ), nn.BatchNorm2d(self.channels[0]), get_op("relu")(), ) expect( blocks[0] == expansions[0] == 1, "The first conv layer should have single block and no expansion.", ValueError, ) self.mult_ratio = mult_ratio self.cells = [ self.make_stage( self.channels[0], self.channels[1], self.blocks[0], self.strides[0], self.expansions[0], [3], ) ] for i, depth in enumerate(self.blocks[1:], 1): self.cells.append( self.make_stage( self.channels[i], self.channels[i + 1], depth, self.strides[i], self.expansions[i], self.kernel_sizes, ) ) self.cells = nn.ModuleList(self.cells) self.conv_head = self.block_initializer( 6, self.channels[-3], self.channels[-2], 1, self.kernel_sizes, self.do_kernel_transform, activation="relu", affine=True, ) self.conv_final = nn.Sequential( FlexiblePointLinear(self.channels[-2], self.channels[-1], 1, 1, 0), nn.BatchNorm2d(self.channels[-1]), ) self.classifier = nn.Conv2d(self.channels[-1], num_classes, 1, 1, 0) if self.pretrained_path: state_dict = torch.load(self.pretrained_path, "cpu") if state_dict["classifier.weight"].shape[0] != self.num_classes: del state_dict["classifier.weight"] del state_dict["classifier.bias"] self.logger.info( f"loading pretrained model from path {self.pretrained_path}...") self.logger.info(self.load_state_dict(state_dict, strict=False)) self.to(self.device) def make_stage(self, C_in, C_out, block_num, stride, expansion, kernel_sizes): cell = [] for i in range(block_num): if i == 0: s = stride else: s = 1 C_in = C_out cell.append( self.block_initializer( expansion, C_in, C_out, s, kernel_sizes, self.do_kernel_transform, activation="relu", affine=True, ) ) return nn.ModuleList(cell) def forward(self, inputs): return self.forward_rollout(inputs) def forward_rollout(self, inputs, rollout=None): out = self.stem(inputs) for i, cell in enumerate(self.cells): for j, block in enumerate(cell): if rollout is None: out = block(out) else: if j >= rollout.depth[i]: break out = block.forward_rollout( out, rollout.width[i][j], rollout.kernel[i][j] ) out = self.conv_head(out) out = self.conv_final(out) out = F.adaptive_avg_pool2d(out, 1) return self.classifier(out).flatten(1) def finalize(self, blocks, expansions, kernel_sizes): cells = [] finalized_model = copy.deepcopy(self) for i, cell in enumerate(self.cells): cells.append([]) for j, block in enumerate(cell): if j >= blocks[i]: break block.set_mask(expansions[i][j], kernel_sizes[i][j]) cells[-1].append(block.finalize()) cells[-1] = nn.ModuleList(cells[-1]) finalized_model.cells = nn.ModuleList(cells) return finalized_model def extract_features(self, inputs, p_levels, rollout=None, drop_connect_rate=0.0): out = self.stem(inputs) level_indexes = feature_level_to_stage_index(self.strides) features = [] for i, cell in enumerate(self.cells): for j, block in enumerate(cell): if rollout is None: out = block(out, drop_connect_rate) else: if j >= rollout.depth[i]: break out = block.forward_rollout( out, rollout.width[i][j], rollout.kernel[i][j], drop_connect_rate ) features.append(out) out = self.conv_head(out) features[-1] = out return [features[level_indexes[p]] for p in p_levels], out def get_feature_channel_num(self, p_levels): level_indexes = feature_level_to_stage_index(self.strides) return [self.channels[level_indexes[p]] for p in p_levels] def get_features(self, inputs, p_levels, rollout=None): out = self.stem(inputs) level_indexes = feature_level_to_stage_index(self.strides) features = [] for i, cell in enumerate(self.cells): for j, block in enumerate(cell): if rollout is None: out = block(out) else: if j >= rollout.depth[i]: break out = block.forward_rollout( out, rollout.width[i][j], rollout.kernel[i][j] ) features.append(out) out = self.conv_head(out) features[-1] = out return [features[level_indexes[p]] for p in p_levels], out def get_feature_channel_num(self, p_levels): level_indexes = feature_level_to_stage_index(self.strides) return [self.channels[level_indexes[p]] for p in p_levels] class MobileNetV3Arch(BaseBackboneArch): NAME = "mbv3_backbone" def __init__( self, device, blocks=[1, 4, 4, 4, 4, 4], strides=[1, 2, 2, 2, 1, 2], expansions=[1, 6, 6, 6, 6, 6], layer_channels=[16, 16, 24, 40, 80, 112, 160, 960, 1280], mult_ratio=1.0, kernel_sizes=[3, 5, 7], do_kernel_transform=True, use_ses=[False, False, True, False, True, True], acts=["relu", "relu", "relu", "h_swish", "h_swish", "h_swish"], num_classes=10, block_type="mbv3_block", pretrained_path=None, stem_stride=2, schedule_cfg=None, ): super(MobileNetV3Arch, self).__init__( device, blocks, strides, expansions, layer_channels, mult_ratio, kernel_sizes, do_kernel_transform, num_classes, block_type, pretrained_path, schedule_cfg, ) self.block_initializer = FlexibleBlock.get_class_(block_type) self.channels = [make_divisible(c * mult_ratio, 8) for c in layer_channels] self.stem_stride = stem_stride self.stem = nn.Sequential( nn.Conv2d( 3, self.channels[0], kernel_size=3, stride=self.stem_stride, padding=1, bias=False ), nn.BatchNorm2d(self.channels[0]), get_op("h_swish")(), ) expect( blocks[0] == expansions[0] == 1, "The first conv layer should have single block and no expansion.", ValueError, ) self.mult_ratio = mult_ratio self.use_ses = use_ses self.acts = acts self.cells = [ self.make_stage( self.channels[0], self.channels[1], self.blocks[0], self.strides[0], self.expansions[0], [3], self.use_ses[0], self.acts[0], ) ] for i, depth in enumerate(self.blocks[1:], 1): self.cells.append( self.make_stage( self.channels[i], self.channels[i + 1], depth, self.strides[i], self.expansions[i], self.kernel_sizes, self.use_ses[i], self.acts[i], ) ) self.cells = nn.ModuleList(self.cells) self.conv_head = nn.Sequential( nn.Conv2d(self.channels[-3], self.channels[-2], 1, 1, 0, bias=False), nn.BatchNorm2d(self.channels[-2]), get_op("h_swish")(), ) self.conv_final = nn.Sequential( nn.Conv2d(self.channels[-2], self.channels[-1], 1, 1, 0, bias=False), get_op("h_swish")(), ) self.classifier = nn.Linear(self.channels[-1], num_classes) if self.pretrained_path: state_dict = torch.load(self.pretrained_path, "cpu") if state_dict["classifier.weight"].shape[0] != self.num_classes: del state_dict["classifier.weight"] del state_dict["classifier.bias"] self.logger.info(self.load_state_dict(state_dict, strict=False)) self.to(self.device) def make_stage( self, C_in, C_out, block_num, stride, expansion, kernel_sizes, use_se, act ): cell = [] for i in range(block_num): if i == 0: s = stride else: s = 1 C_in = C_out cell.append( self.block_initializer( expansion, C_in, C_out, s, kernel_sizes, self.do_kernel_transform, activation=act, affine=True, use_se=use_se, ) ) return nn.ModuleList(cell) def forward(self, inputs): return self.forward_rollout(inputs) def forward_rollout(self, inputs, rollout=None): out = self.stem(inputs) for i, cell in enumerate(self.cells): for j, block in enumerate(cell): if rollout is None: out = block(out) else: if j >= rollout.depth[i]: break out = block.forward_rollout( out, rollout.width[i][j], rollout.kernel[i][j] ) out = self.conv_head(out) out = out.mean(3, keepdim=True).mean(2, keepdim=True) out = self.conv_final(out) out = torch.flatten(out, 1) return self.classifier(out) def finalize(self, blocks, expansions, kernel_sizes): cells = [] finalized_model = copy.deepcopy(self) for i, cell in enumerate(self.cells): cells.append([]) for j, block in enumerate(cell): if j >= blocks[i]: break block.set_mask(expansions[i][j], kernel_sizes[i][j]) cells[-1].append(block.finalize()) cells[-1] = nn.ModuleList(cells[-1]) finalized_model.cells = nn.ModuleList(cells) return finalized_model def extract_features(self, inputs, p_levels, rollout=None, drop_connect_rate=0.0): out = self.stem(inputs) level_indexes = feature_level_to_stage_index(self.strides) features = [] for i, cell in enumerate(self.cells): for j, block in enumerate(cell): if rollout is None: out = block(out, drop_connect_rate) else: if j >= rollout.depth[i]: break out = block.forward_rollout( out, rollout.width[i][j], rollout.kernel[i][j], drop_connect_rate ) features.append(out) out = self.conv_head(out) features[-1] = out return [features[level_indexes[p]] for p in p_levels], out def get_feature_channel_num(self, p_levels): level_indexes = feature_level_to_stage_index(self.strides + [1]) return [self.channels[1 + level_indexes[p]] for p in p_levels]

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0.011081

0.806532

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null

0

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0

1

0

null

0

7

3da89b4ccbef0142ba6d237579edc093e8a90052

4,882

py

Python

tests/geomol_featurization_tests.py

boltzmannlabs/boltpro

3ddebbeb10191150a29fc81ef4336ec2dbe88092

[ "Apache-2.0" ]

4

2022-02-21T12:01:04.000Z

2022-03-10T04:30:55.000Z

tests/geomol_featurization_tests.py

boltzmannlabs/boltpro

3ddebbeb10191150a29fc81ef4336ec2dbe88092

[ "Apache-2.0" ]

null

tests/geomol_featurization_tests.py

boltzmannlabs/boltpro

3ddebbeb10191150a29fc81ef4336ec2dbe88092

[ "Apache-2.0" ]

2

2022-03-11T07:58:58.000Z

2022-03-15T05:17:59.000Z

from geomol.data import drugs_confs as drugs_featuriter from geomol.data import qm9_confs as qm9_featurizer ###### tests for drugs data featurization ########### dataset = 'drugs' files_path = r"molpro/geomol/sample_data/drugs" split_path = r"molpro/geomol/sample_data/sample_data/drugs_split.npy" featurizer = drugs_featuriter(files_path, split_path, "test") pickle_files = featurizer.pickle_files def test_open_pickle(): data_dict = featurizer.open_pickle(pickle_files[0]) assert data_dict is not None and type(data_dict).__name__ == 'dict' data_dict = featurizer.open_pickle(pickle_files[0]) def test_featurize_mol(): data_obj = featurizer.featurize_mol(data_dict) assert data_obj is not None and type(data_obj).__name__ == 'Data' and len(data_obj.keys) == 12 data_obj = featurizer.featurize_mol(data_dict) def test_bolmann_weight(): boltzmann_weight = data_obj.boltzmann_weight assert boltzmann_weight is not None and type(boltzmann_weight).__name__ == 'float' def test_degeneracy(): degeneracy = data_obj.degeneracy assert degeneracy is not None and type(degeneracy).__name__ == 'int' def test_chiral_tag(): chiral_tag = data_obj.chiral_tag assert chiral_tag is not None and type(chiral_tag).__name__ == 'Tensor' def test_edge_attr(): edge_attr = data_obj.edge_attr assert edge_attr is not None and type(edge_attr).__name__ == 'Tensor' def test_edge_index(): edge_index = data_obj.edge_index assert edge_index is not None and type(edge_index).__name__ == 'Tensor' def test_mol(): mol = data_obj.mol assert mol is not None and type(mol).__name__ == 'Mol' def test_name(): smile_name = data_obj.name assert smile_name is not None and type(smile_name).__name__ == 'str' def test_neighbors(): neighbors = data_obj.neighbors assert neighbors is not None and type(neighbors).__name__ == 'dict' def test_neighbors(): neighbors = data_obj.neighbors assert neighbors is not None and type(neighbors).__name__ == 'dict' def test_pos(): pos = data_obj.pos assert pos is not None and type(pos).__name__ == 'list' and type(pos[0]).__name__ == 'Tensor' def test_pos_mask(): pos_mask = data_obj.pos_mask assert pos_mask is not None and type(pos_mask).__name__ == 'Tensor' def test_x(): x = data_obj.x assert x is not None and type(x).__name__ == 'Tensor' def test_z(): z = data_obj.z assert z is not None and type(z).__name__ == 'Tensor' ###### tests for qm9 data featurization ########### dataset = 'qm9' files_path = r"molpro/geomol/sample_data/drugs" split_path = r"molpro/geomol/sample_data/sample_data/drugs_split.npy" featurizer = qm9_featurizer(files_path, split_path, "test") pickle_files = featurizer.pickle_files def test_open_pickle(): data_dict = featurizer.open_pickle(pickle_files[0]) assert data_dict is not None and type(data_dict).__name__ == 'dict' data_dict = featurizer.open_pickle(pickle_files[0]) def test_featurize_mol(): data_obj = featurizer.featurize_mol(data_dict) assert data_obj is not None and type(data_obj).__name__ == 'Data' and len(data_obj.keys) == 12 data_obj = featurizer.featurize_mol(data_dict) def test_bolmann_weight(): boltzmann_weight = data_obj.boltzmann_weight assert boltzmann_weight is not None and type(boltzmann_weight).__name__ == 'float' def test_degeneracy(): degeneracy = data_obj.degeneracy assert degeneracy is not None and type(degeneracy).__name__ == 'int' def test_chiral_tag(): chiral_tag = data_obj.chiral_tag assert chiral_tag is not None and type(chiral_tag).__name__ == 'Tensor' def test_edge_attr(): edge_attr = data_obj.edge_attr assert edge_attr is not None and type(edge_attr).__name__ == 'Tensor' def test_edge_index(): edge_index = data_obj.edge_index assert edge_index is not None and type(edge_index).__name__ == 'Tensor' def test_mol(): mol = data_obj.mol assert mol is not None and type(mol).__name__ == 'Mol' def test_name(): smile_name = data_obj.name assert smile_name is not None and type(smile_name).__name__ == 'str' def test_neighbors(): neighbors = data_obj.neighbors assert neighbors is not None and type(neighbors).__name__ == 'dict' def test_neighbors(): neighbors = data_obj.neighbors assert neighbors is not None and type(neighbors).__name__ == 'dict' def test_pos(): pos = data_obj.pos assert pos is not None and type(pos).__name__ == 'list' and type(pos[0]).__name__ == 'Tensor' def test_pos_mask(): pos_mask = data_obj.pos_mask assert pos_mask is not None and type(pos_mask).__name__ == 'Tensor' def test_x(): x = data_obj.x assert x is not None and type(x).__name__ == 'Tensor' def test_z(): z = data_obj.z assert z is not None and type(z).__name__ == 'Tensor' print("Succesfully Done...")

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183

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0

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0

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false

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0

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0

null

0

1

0

1

0

null

0

1

0

8

9a990ac5679228f5c4423b2de82661fa8dd0ae60

1,144

py

Python

test/item_updater_test.py

dkalaxdk/IssueTableGenerator

a2999e3417c2514292b1197d8cfe83435f6f1b8d

[ "MIT" ]

null

test/item_updater_test.py

dkalaxdk/IssueTableGenerator

a2999e3417c2514292b1197d8cfe83435f6f1b8d

[ "MIT" ]

null

test/item_updater_test.py

dkalaxdk/IssueTableGenerator

a2999e3417c2514292b1197d8cfe83435f6f1b8d

[ "MIT" ]

null

from classes.pull_requests import Pr from helpers.item_updater import * from classes.issues import Issue def test_write_pr_written(): test_number = 5 pr = Pr() pr.number = test_number pull_requests = [] first_len = len(pull_requests) write_pr(pr, pull_requests) second_len = len(pull_requests) assert first_len < second_len def test_write_pr_written_false_already_in_list(): test_number = 5 pr = Pr() pr.number = test_number pull_requests = [pr] first_len = len(pull_requests) write_pr(pr, pull_requests) second_len = len(pull_requests) assert first_len == second_len def test_write_issue_written(): test_number = 5 issue = Issue() issue.number = test_number issues = [] first_len = len(issues) write_pr(issue, issues) second_len = len(issues) assert first_len < second_len def test_write_issue_written_false_already_in_list(): test_number = 5 issue = Issue() issue.number = test_number issues = [issue] first_len = len(issues) write_pr(issue, issues) second_len = len(issues) assert first_len == second_len

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4.567901

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0

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0.22028

1,144

47

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1

0.102564

false

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0.076923

0

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0

null

0

1

0

1

0

null

0

7

9a9950ad5d3e77303d5c4acb84e5bdc303a9e596

147

py

Python

models/slimmable/__init__.py

haolibai/dmcp

7d9e88230850d8094a040d8c4eaf8b0d0393a210

[ "CC-BY-4.0" ]

119

2020-05-08T01:05:50.000Z

2022-03-02T07:36:24.000Z

models/slimmable/__init__.py

haolibai/dmcp

7d9e88230850d8094a040d8c4eaf8b0d0393a210

[ "CC-BY-4.0" ]

13

2020-05-08T08:57:33.000Z

2021-09-02T09:14:51.000Z

models/slimmable/__init__.py

haolibai/dmcp

7d9e88230850d8094a040d8c4eaf8b0d0393a210

[ "CC-BY-4.0" ]

23

2020-05-08T03:18:24.000Z

2021-08-28T16:04:31.000Z

# -*- coding:utf-8 -*- from models.slimmable.us_resnet import us_resnet18, us_resnet50 from models.slimmable.us_mobilenet import us_mobilenet_v2

29.4

63

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4

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true

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