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train · 253k rows

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3722278525943e13431e4309420538b23b041a0d	17,986	py	Python	pytests/eventing/eventing_sanity.py	ramalingam-cb/testrunner	81cea7a5a493cf0c67fca7f97c667cd3c6ad2142	[ "Apache-2.0" ]	null	null	null	pytests/eventing/eventing_sanity.py	ramalingam-cb/testrunner	81cea7a5a493cf0c67fca7f97c667cd3c6ad2142	[ "Apache-2.0" ]	null	null	null	pytests/eventing/eventing_sanity.py	ramalingam-cb/testrunner	81cea7a5a493cf0c67fca7f97c667cd3c6ad2142	[ "Apache-2.0" ]	null	null	null	from lib.membase.api.rest_client import RestConnection from lib.testconstants import STANDARD_BUCKET_PORT from pytests.eventing.eventing_constants import HANDLER_CODE from pytests.eventing.eventing_base import EventingBaseTest, log from membase.helper.cluster_helper import ClusterOperationHelper class EventingSanity(EventingBaseTest): def setUp(self): super(EventingSanity, self).setUp() self.rest.set_service_memoryQuota(service='memoryQuota', memoryQuota=700) if self.create_functions_buckets: self.bucket_size = 200 log.info(self.bucket_size) bucket_params = self._create_bucket_params(server=self.server, size=self.bucket_size, replicas=0) self.cluster.create_standard_bucket(name=self.src_bucket_name, port=STANDARD_BUCKET_PORT + 1, bucket_params=bucket_params) self.src_bucket = RestConnection(self.master).get_buckets() self.cluster.create_standard_bucket(name=self.dst_bucket_name, port=STANDARD_BUCKET_PORT + 1, bucket_params=bucket_params) self.cluster.create_standard_bucket(name=self.metadata_bucket_name, port=STANDARD_BUCKET_PORT + 1, bucket_params=bucket_params) self.buckets = RestConnection(self.master).get_buckets() self.gens_load = self.generate_docs(self.docs_per_day) self.expiry = 3 query = "create primary index on {}".format(self.src_bucket_name) self.n1ql_helper.run_cbq_query(query=query, server=self.n1ql_node) def tearDown(self): super(EventingSanity, self).tearDown() def test_create_mutation_for_dcp_stream_boundary_from_beginning(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_ON_UPDATE, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the create mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016) self.undeploy_and_delete_function(body) def test_delete_mutation_for_dcp_stream_boundary_from_beginning(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_ON_DELETE, worker_count=3) self.deploy_function(body) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') # Wait for eventing to catch up with all the delete mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, on_delete=True) self.undeploy_and_delete_function(body) def test_expiry_mutation_for_dcp_stream_boundary_from_beginning(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, exp=1) # set expiry pager interval ClusterOperationHelper.flushctl_set(self.master, "exp_pager_stime", 1, bucket=self.src_bucket_name) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_ON_DELETE, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the expiry mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, on_delete=True) self.undeploy_and_delete_function(body) def test_update_mutation_for_dcp_stream_boundary_from_now(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_ON_UPDATE, dcp_stream_boundary="from_now", sock_batch_size=1, worker_count=4, cpp_worker_thread_count=4) self.deploy_function(body) # update all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='update') # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016) self.undeploy_and_delete_function(body) def test_n1ql_query_execution_from_handler_code(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.N1QL_INSERT_ON_UPDATE, worker_count=3) # Enable this after MB-26527 is fixed # sock_batch_size=10, worker_count=4, cpp_worker_thread_count=4) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016) self.undeploy_and_delete_function(body) def test_doc_timer_events_from_handler_code_with_n1ql(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.N1QL_INSERT_ON_UPDATE_WITH_DOC_TIMER, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, doc_timer_events=True) self.undeploy_and_delete_function(body) def test_cron_timer_events_from_handler_code_with_n1ql(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.N1QL_INSERT_ON_UPDATE_WITH_CRON_TIMER, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, doc_timer_events=True) self.undeploy_and_delete_function(body) def test_doc_timer_events_from_handler_code_with_bucket_ops(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_WITH_DOC_TIMER, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, doc_timer_events=True) self.undeploy_and_delete_function(body) def test_cron_timer_events_from_handler_code_with_bucket_ops(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_WITH_CRON_TIMER, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, doc_timer_events=True) self.undeploy_and_delete_function(body) def test_delete_bucket_operation_from_handler_code(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.DELETE_BUCKET_OP_ON_DELETE) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') # Wait for eventing to catch up with all the delete mutations and verify results self.verify_eventing_results(self.function_name, 0, skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_timers_without_context(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_WITH_TIMER_WITHOUT_CONTEXT, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_cancel_timers_with_timers_being_overwritten(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OP_WITH_TIMER_OVERWRITTEN, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_source_doc_mutations(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OP_SOURCE_DOC_MUTATION, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results #self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) #self.verify_source_bucket_mutation(self.docs_per_day * 2016) self.verify_source_bucket_mutation(self.docs_per_day * 2016) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') self.verify_source_bucket_mutation(self.docs_per_day * 2016,deletes=True,timeout=1200) self.undeploy_and_delete_function(body) def test_source_doc_mutations_with_timers(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OP_SOURCE_DOC_MUTATION_WITH_TIMERS, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results #self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) #self.verify_source_bucket_mutation(self.docs_per_day * 2016) self.verify_source_bucket_mutation(self.docs_per_day * 2016) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') self.verify_source_bucket_mutation(self.docs_per_day * 2016,deletes=True,timeout=1200) self.undeploy_and_delete_function(body) def test_source_bucket_mutations(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OP_WITH_SOURCE_BUCKET_MUTATION, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results #self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) #self.verify_source_bucket_mutation(self.docs_per_day * 2016) self.verify_eventing_results(self.function_name, self.docs_per_day * 4032, skip_stats_validation=True) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_source_bucket_mutations_with_timers(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OP_SOURCE_BUCKET_MUTATION_WITH_TIMERS, worker_count=3) self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results #self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) #self.verify_source_bucket_mutation(self.docs_per_day * 2016) self.verify_eventing_results(self.function_name, self.docs_per_day * 4032, skip_stats_validation=True) # delete all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') self.verify_eventing_results(self.function_name, self.docs_per_day * 2016, skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_pause_resume_execution(self): body = self.create_save_function_body(self.function_name, HANDLER_CODE.BUCKET_OPS_ON_UPDATE, worker_count=3) self.deploy_function(body) self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) self.pause_function(body) # intentionally added , as it requires some time for eventing-consumers to shutdown self.sleep(60) self.assertTrue(self.check_if_eventing_consumers_are_cleaned_up(), msg="eventing-consumer processes are not cleaned up even after undeploying the function") self.gens_load = self.generate_docs(self.docs_per_day2) self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size2) self.resume_function(body) # Wait for eventing to catch up with all the create mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day * 20162,skip_stats_validation=True) self.undeploy_and_delete_function(body) def test_source_bucket_mutation_for_dcp_stream_boundary_from_now(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name,HANDLER_CODE.BUCKET_OP_WITH_SOURCE_BUCKET_MUTATION , dcp_stream_boundary="from_now", sock_batch_size=1, worker_count=4, cpp_worker_thread_count=4) self.deploy_function(body) # update all documents self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='update') # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day 20162) self.undeploy_and_delete_function(body) def test_compress_handler(self): self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size) body = self.create_save_function_body(self.function_name,"handler_code/compress.js") self.deploy_function(body) # Wait for eventing to catch up with all the update mutations and verify results self.verify_eventing_results(self.function_name, self.docs_per_day 2016) self.load(self.gens_load, buckets=self.src_bucket, flag=self.item_flag, verify_data=False, batch_size=self.batch_size, op_type='delete') # Wait for eventing to catch up with all the delete mutations and verify results self.verify_eventing_results(self.function_name, 0, skip_stats_validation=True) self.undeploy_and_delete_function(body)	65.882784	124	0.712387	2,456	17,986	4.868485	0.070033	0.045915	0.058878	0.038638	0.887179	0.886175	0.880488	0.871038	0.867693	0.866689	0	0.013522	0.214667	17,986	272	125	66.125	0.832991	0.14906	0.673077	0	0	0.014938	0.001572	0	0	0	0	0.004808	1	0.100962	false	0	0.024038	0	0.129808	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2e9c244c8c44db995eaad0123cd01c19da348f8b	176	py	Python	cart/admin.py	todorpetkov11/riddance_ecom	79dc1a566f32a696122d99eac23a100cac22e558	[ "MIT" ]	null	null	null	cart/admin.py	todorpetkov11/riddance_ecom	79dc1a566f32a696122d99eac23a100cac22e558	[ "MIT" ]	null	null	null	cart/admin.py	todorpetkov11/riddance_ecom	79dc1a566f32a696122d99eac23a100cac22e558	[ "MIT" ]	null	null	null	from django.contrib import admin from django.contrib import admin from cart.models import Cart, CartProduct admin.site.register(Cart) admin.site.register(CartProduct)	22	42	0.795455	24	176	5.833333	0.416667	0.142857	0.242857	0.328571	0.428571	0.428571	0	0	0	0	0	0	0.136364	176	7	43	25.142857	0.921053	0	0.4	0	0	0	0	0	0	0	0	0	1	0	true	0	0.6	0	0.6	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
2ecd0c5e3a74edaad35a88f12238eba66510a14c	22,957	py	Python	EDP_solver_tools.py	truejulosdu13/Electrochemistry	183914d75f7d8ec8fdaa03a1f5133f24afaf6f38	[ "MIT" ]	null	null	null	EDP_solver_tools.py	truejulosdu13/Electrochemistry	183914d75f7d8ec8fdaa03a1f5133f24afaf6f38	[ "MIT" ]	null	null	null	EDP_solver_tools.py	truejulosdu13/Electrochemistry	183914d75f7d8ec8fdaa03a1f5133f24afaf6f38	[ "MIT" ]	null	null	null	# this programmes numerically solves the partial derivative equations of the diffusion problem with bulk and electrode conditions with the Crank-Nicolson technique import math import numpy as np ## Calculate the n+1 concentration profile # temporal propagation of the concentration profile for the E mechanism def compute_Cnew_E(M_new, M_old, C_old, C_a, C_b, Nx): RHS = RHS_E(M_old, C_old, C_a, C_b, Nx) C_new = np.linalg.solve(M_new, RHS) return(C_new) # temporal propagation of the concentration profile for the CE mechanism def compute_Cnew_EC(M_new, M_old, C_old, C_a, C_b, C_c, Nx): RHS = RHS_EC(M_old, C_old, C_a, C_b, C_c, Nx) C_new = np.linalg.solve(M_new, RHS) return(C_new) # temporal propagation of the concentration profile for the CE mechanism def compute_Cnew_CE(M_new, M_old, C_old, C_a, C_b, C_c, Nx): RHS = RHS_CE(M_old, C_old, C_a, C_b, C_c, Nx) C_new = np.linalg.solve(M_new, RHS) return(C_new) # temporal propagation of the concentration profile for the ECE mechanism def compute_Cnew_ECE(M_new, M_old, C_old, C_a, C_b, C_c, C_d, Nx): RHS = RHS_ECE(M_old, C_old, C_a, C_b, C_c, C_d, Nx) C_new = np.linalg.solve(M_new, RHS) return(C_new) # temporal propagation of the concentration profile for the AL mechanism def compute_Cnew_AL(M_new, M_old, C_old, C_a, C_b, C_c, C_d, C_e, Nx): RHS = RHS_AL(M_old, C_old, C_a, C_b, C_c, C_d, C_e, Nx) C_new = np.linalg.solve(M_new, RHS) return(C_new) ## M_new matrices : # the time dependend Matrix is defined thanks to the constant Matrix and # the boundaries conditions of the electrochemical problem # for an E mechanism with a chemical that can be reduced def Matrix_E_Non_Nernst_boundaries_red(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = 1 # current condition on Cox M_new[0, 0] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0,Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = -1 return(M_new) # for an E mechanism with a chemical that can be oxidized def Matrix_E_Non_Nernst_boundaries_ox(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = 1 # current condition on Cred M_new[0, 0] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0,Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = -1 return(M_new) # for an CE mechanism with a chemical that can be oxidized def Matrix_EC_boundaries_red(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = 1 # current condition on C_a M_new[0, 0] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = - 1 # zero flux condition on C_c M_new[2Nx,2Nx] = + 1 M_new[2Nx,2Nx+1] = - 1 return(M_new) # for an CE mechanism with a chemical that can be oxidized def Matrix_EC_boundaries_ox(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = 1 # current condition on C_a M_new[0, 0] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = - 1 # zero flux condition on C_c M_new[2Nx,2Nx] = + 1 M_new[2Nx,2Nx+1] = - 1 return(M_new) # for an CE mechanism with a chemical that can be reduced def Matrix_CE_boundaries_red(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = 1 # zero flux condition on C_a M_new[0,0] = + 1 M_new[0,1] = - 1 # current condition on C_b M_new[Nx, Nx] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[Nx, Nx+1] = - 1 M_new[Nx, 2Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[2Nx, Nx] = + 1 M_new[2Nx, Nx+1] = - 1 M_new[2Nx, 2Nx] = + 1 M_new[2Nx, 2Nx+1] = - 1 return(M_new) # for an CE mechanism with a chemical that can be oxidized def Matrix_CE_boundaries_ox(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = 1 # zero flux condition on C_a M_new[0,0] = + 1 M_new[0,1] = - 1 # current condition on C_b M_new[Nx, Nx] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[Nx, Nx+1] = - 1 M_new[Nx, 2Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode M_new[2Nx, Nx] = + 1 M_new[2Nx, Nx+1] = - 1 M_new[2Nx, 2Nx] = + 1 M_new[2Nx, 2Nx+1] = - 1 return(M_new) # for an ECE mechanism with a chemical that can be reduced def Matrix_ECE_boundaries_red(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = M_new[4Nx-1, 4Nx-1] = 1 # current condition on C_c M_new[2Nx, 2Nx] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) M_new[2Nx, 2Nx+1] = - 1 M_new[2Nx, 3Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) # current condition on C_a M_new[0, 0] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode for A/B M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = - 1 # equality of the concentration flux at the electrode for C/D M_new[3Nx, 2Nx] = + 1 M_new[3Nx, 2Nx+1] = - 1 M_new[3Nx, 3Nx] = + 1 M_new[3Nx, 3Nx+1] = - 1 return(M_new) # for an ECE mechanism with a chemical that can be oxidized def Matrix_ECE_boundaries_ox(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = M_new[4Nx-1, 4Nx-1] = 1 # current condition on C_c M_new[2Nx, 2Nx] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) M_new[2Nx, 2Nx+1] = - 1 M_new[2Nx, 3Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) # current condition on C_a M_new[0, 0] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode for A/B M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, Nx] = + 1 M_new[Nx, Nx+1] = - 1 # equality of the concentration flux at the electrode for C/D M_new[3Nx, 2Nx] = + 1 M_new[3Nx, 2Nx+1] = - 1 M_new[3Nx, 3Nx] = + 1 M_new[3Nx, 3Nx+1] = - 1 return(M_new) def Matrix_AL_boundaries_red(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = M_new[4Nx-1, 4Nx-1] = M_new[5Nx-1, 5Nx-1] = 1 # current condition on ELA/ELA- M_new[2Nx, 2Nx] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) M_new[2Nx, 2Nx+1] = - 1 M_new[2Nx, 3Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) # current condition on E/E- M_new[0, 0] = + 1 + cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, 4Nx] = - cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode for E/E- M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, 4Nx] = + 1 M_new[Nx, 4Nx+1] = - 1 # equality of the concentration flux at the electrode for ELA/ELA- M_new[3Nx, 2Nx] = + 1 M_new[3Nx, 2Nx+1] = - 1 M_new[3Nx, 3Nx] = + 1 M_new[3Nx, 3Nx+1] = - 1 # zero flux of LA at electrode M_new[4Nx, Nx] = + 1 M_new[4Nx, Nx+1] = - 1 return(M_new) def Matrix_AL_boundaries_ox(M_new_constant, t, E, cst_all): Nx = cst_all["Nx"] M_new = M_new_constant # boundaries conditions at bulk : M_new[Nx-1,Nx-1] = M_new[2Nx-1, 2Nx-1] = M_new[3Nx-1, 3Nx-1] = M_new[4Nx-1, 4Nx-1] = M_new[5Nx-1, 5Nx-1] = 1 # current condition on ELA/ELA- M_new[2Nx, 2Nx] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) M_new[2Nx, 2Nx+1] = - 1 M_new[2Nx, 3Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_2"], cst_all["alpha"]) # current condition on E/E- M_new[0, 0] = + 1 + cst_all["Lambda"]k_ox(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) M_new[0, 1] = - 1 M_new[0, 4Nx] = - cst_all["Lambda"]k_red(t, E, cst_all["n"], cst_all["F_norm"], cst_all["E_0_1"], cst_all["alpha"]) # equality of the concentration flux at the electrode for E/E- M_new[Nx, 0] = + 1 M_new[Nx, 1] = - 1 M_new[Nx, 4Nx] = + 1 M_new[Nx, 4Nx+1] = - 1 # equality of the concentration flux at the electrode for ELA/ELA- M_new[3Nx, 2Nx] = + 1 M_new[3Nx, 2Nx+1] = - 1 M_new[3Nx, 3Nx] = + 1 M_new[3Nx, 3Nx+1] = - 1 # zero flux of LA at electrode M_new[4Nx, Nx] = + 1 M_new[4Nx, Nx+1] = - 1 return(M_new) ## Matrices used for the construction of M_new and M_old : # Constants Matrices (or M_old and M_new_constant_part) def Matrix_constant_ECE(Nx, Dt, num_species, k_p, k_m, DM): M_new_constant = Id_tronc(Nx, num_species) - 0.5DMLapl_Mat(Nx, num_species) - 0.5DtEq_Mat_ECE(Nx, num_species, k_p, k_m) M_old_constant = Id_tronc(Nx, num_species) + 0.5DMLapl_Mat(Nx, num_species) + 0.5DtEq_Mat_ECE(Nx, num_species, k_p, k_m) return(M_new_constant, M_old_constant) def Matrix_constant_CE(Nx, Dt, num_species, k_p, k_m, DM): M_new_constant = Id_tronc(Nx, num_species) - 0.5DMLapl_Mat(Nx, num_species) - 0.5DtEq_Mat_CE(Nx, num_species, k_p, k_m) M_old_constant = Id_tronc(Nx, num_species) + 0.5DMLapl_Mat(Nx, num_species) + 0.5DtEq_Mat_CE(Nx, num_species, k_p, k_m) return(M_new_constant, M_old_constant) def Matrix_constant_EC(Nx, Dt, num_species, k_c, DM): M_new_constant = Id_tronc(Nx, num_species) - 0.5DMLapl_Mat(Nx, num_species) - 0.5DtReact_Mat_EC(Nx, num_species, k_c) M_old_constant = Id_tronc(Nx, num_species) + 0.5DMLapl_Mat(Nx, num_species) + 0.5DtReact_Mat_EC(Nx, num_species, k_c) return(M_new_constant, M_old_constant) def Matrix_constant_E(Nx, num_species, DM): M_new_constant = Id_tronc(Nx, num_species) - 0.5DMLapl_Mat(Nx, num_species) M_old_constant = Id_tronc(Nx, num_species) + 0.5DMLapl_Mat(Nx, num_species) return(M_new_constant, M_old_constant) def Matrix_constant_AL(Nx, Dt, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2, DM, C): M_new_constant = Id_tronc(Nx, num_species) - 0.5DMLapl_Mat(Nx, num_species) - 0.5DtEq_Mat_kin_cst_LA(Nx, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2) - 0.5DtEq_Mat_kin_td_LA(Nx, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2, C) M_old_constant = Id_tronc(Nx, num_species) + 0.5DMLapl_Mat(Nx, num_species) + 0.5DtEq_Mat_kin_cst_LA(Nx, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2) return(M_new_constant, M_old_constant) # Laplacian Matrices : def Lapl_Mat(Nx, num_species): ## def Laplacien troncated meca ECE L = np.zeros((num_speciesNx,num_speciesNx)) for j in range(num_species): for i in range(Nx-2): L[jNx+i+1,jNx+i+1] = -2 L[jNx+i+1,jNx+i] = +1 L[jNx+i+1,jNx+i+2] = +1 return(L) # Chemical Equilibrium matrices : def Eq_Mat_kin_cst_LA(Nx, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2): Eq_Mat = np.zeros((num_speciesNx,num_speciesNx)) for i in range(Nx-2): Eq_Mat[i+1,2Nx+i+1] = + k_p Eq_Mat[Nx+i+1,2Nx+i+1] = + k_p Eq_Mat[Nx+i+1,3Nx+i+1] = + k_m_2 + kc2 Eq_Mat[2Nx+i+1,2Nx+i+1] = - k_p Eq_Mat[3Nx+i+1,3Nx+i+1] = - k_m_2 - kc2 Eq_Mat[4Nx+i+1,3Nx+i+1] = + k_m_2 Eq_Mat[4Nx+i+1,4Nx+i+1] = - kc return(Eq_Mat) def Eq_Mat_kin_td_LA(Nx, num_species, k_p, k_m, k_p_2, k_m_2, kc, kc2, C): Eq_Mat = np.zeros((num_speciesNx,num_speciesNx)) for i in range(Nx-2): Eq_Mat[i+1,i+1] = - k_pC[Nx+i+1] Eq_Mat[i+1,Nx+i+1] = - k_pC[i+1] Eq_Mat[Nx+i+1,i+1] = - k_pC[Nx+i+1] Eq_Mat[Nx+i+1,Nx+i+1] = - k_pC[i+1] - k_p_2C[4Nx+i+1] Eq_Mat[Nx+i+1,4Nx+i+1] = - k_p_2C[Nx+i+1] Eq_Mat[2Nx+i+1,i+1] = + k_pC[Nx+i+1] Eq_Mat[2Nx+i+1,Nx+i+1] = + k_pC[i+1] Eq_Mat[3Nx+i+1,Nx+i+1] = + k_p_2C[4Nx+i+1] Eq_Mat[3Nx+i+1,4Nx+i+1] = + k_p_2C[Nx+i+1] Eq_Mat[4Nx+i+1,Nx+i+1] = - k_p_2C[4Nx+i+1] Eq_Mat[4Nx+i+1,4Nx+i+1] = - k_p_2C[Nx+i+1] return(Eq_Mat) def Eq_Mat_ECE(Nx, num_species, k_p, k_m): Eq_Mat = np.zeros((num_speciesNx,num_speciesNx)) for i in range(Nx-2): Eq_Mat[Nx+i+1,Nx+i+1] = -k_p Eq_Mat[Nx+i+1,2Nx+i+1] = +k_m Eq_Mat[2Nx+i+1,Nx+i+1] = +k_p Eq_Mat[2Nx+i+1,2Nx+i+1] = -k_m return(Eq_Mat) def Eq_Mat_CE(Nx, num_species, k_p, k_m): Eq_Mat = np.zeros((num_speciesNx,num_speciesNx)) for i in range(Nx-2): Eq_Mat[i+1,i+1] = - k_p Eq_Mat[i+1,Nx+i+1] = + k_m Eq_Mat[Nx+i+1,i+1] = + k_p Eq_Mat[Nx+i+1,Nx+i+1] = - k_m return(Eq_Mat) def React_Mat_EC(Nx, num_species, k_c): Eq_Mat = np.zeros((num_speciesNx,num_speciesNx)) for i in range(Nx-2): Eq_Mat[Nx+i+1,Nx+i+1] = - k_c Eq_Mat[2Nx+i+1,Nx+i+1] = + k_c return(Eq_Mat) # Troncated Identity (identity all over except on the boundaries) def Id_tronc(Nx, num_species): Identity_Mat = np.zeros((num_speciesNx,num_speciesNx)) for j in range(num_species): for i in range(Nx-2): Identity_Mat[jNx+i+1,jNx+i+1] = 1 return(Identity_Mat) # Kinetics used for the construction of the Matrices : # the dime dependent Matrix requires the definition of Butler-Volmer kinetic constants : def sigma(t, E, cst_syst): ## definition de sigma s = np.exp(nF(E(t) - E_0)/(RT)) return(s) def k_red(t, E, n, F_norm, E_0_1, alpha): ## definition de k_red s = np.exp(-nalphaF_norm(E(t) - E_0_1)) return(s) def k_ox(t, E, n, F_norm, E_0_1, alpha): ## definition de k_ox s = np.exp((1-alpha)nF_norm(E(t) - E_0_1)) return(s) ## RHS Definition: # calculating the right hand side term for the AL mecanism def RHS_AL(M_old, C_old, C_a, C_b, C_c, C_d, C_e, Nx): RHS = np.dot(M_old, C_old) RHS[0] = 0 RHS[Nx-1] = C_a RHS[Nx] = 0 RHS[2Nx-1] = C_b RHS[2Nx] = 0 RHS[3Nx-1] = C_c RHS[3Nx] = 0 RHS[4Nx-1] = C_d RHS[4Nx] = 0 RHS[5Nx-1] = C_e return(RHS) # calculating the right hand side term for the ECE mecanism def RHS_ECE(M_old, C_old, C_a, C_b, C_c, C_d, Nx): RHS = np.dot(M_old, C_old) RHS[0] = 0 RHS[Nx-1] = C_a RHS[Nx] = 0 RHS[2Nx-1] = C_b RHS[2Nx] = 0 RHS[3Nx-1] = C_c RHS[3Nx] = 0 RHS[4Nx-1] = C_d return(RHS) # calculating the right hand side term for the CE mecanism def RHS_CE(M_old, C_old, C_a, C_b, C_c, Nx): RHS = np.dot(M_old, C_old) RHS[0] = 0 RHS[Nx-1] = C_a RHS[Nx] = 0 RHS[2Nx-1] = C_b RHS[2Nx] = 0 RHS[3Nx-1] = C_c return(RHS) # calculating the right hand side term for the CE mecanism def RHS_EC(M_old, C_old, C_a, C_b, C_c, Nx): RHS = np.dot(M_old, C_old) RHS[0] = 0 RHS[Nx-1] = C_a RHS[Nx] = 0 RHS[2Nx-1] = C_b RHS[2Nx] = 0 RHS[3Nx-1] = C_c return(RHS) # calculating the right hand side term for the E mecanism def RHS_E(M_old, C_old, C_a, C_b, Nx): RHS = np.dot(M_old, C_old) RHS[0] = 0 RHS[Nx-1] = C_a RHS[Nx] = 0 RHS[2Nx-1] = C_b return(RHS) ## Calculate the current : # reference = Heinze 1993 # I = Ssum(zifi) # where zi is the algebraic charge of the current, the convention of positiv anodic current is taken # fi stands for the flux of the specie i at the electrode # first approximation of the flux is taken here as the first partial derivative along space # # Note :Intensity = nS(k_ox(t, E)C[Nx] - k_red(t,E)C[0]) cette expression n'est pas stable du au fait # que les concentration à l'electrode sont trop faibles. on obtient un signal bruité. # computing the current for AL mechanism # dans le cas où l'espèce étudiée est réduite def compute_I_AL_red(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS((C[1]-C[0]) - (C[4Nx+1]-C[4Nx]) + (C[2Nx+1]-C[2Nx]) - (C[3Nx+1]-C[3Nx]))/Dx return(Intensity) # dans le cas où l'espèce étudiée est oxydée def compute_I_AL_ox(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = nFDS((C[1]-C[0]) - (C[4Nx+1]-C[4Nx]) + (C[2Nx+1]-C[2Nx]) - (C[3Nx+1]-C[3Nx]))/Dx return(Intensity) # computing the current for ECE mechanism # dans le cas où l'espèce étudiée est réduite def compute_I_ECE_red(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS((C[1]-C[0]) - (C[Nx+1]-C[Nx]) + (C[2Nx+1]-C[2Nx]) - (C[3Nx+1]-C[3Nx]))/Dx return(Intensity) # dans le cas où l'espèce étudiée est oxydée def compute_I_ECE_ox(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = nFDS((C[1]-C[0]) - (C[Nx+1]-C[Nx]) + (C[2Nx+1]-C[2Nx]) - (C[3Nx+1]-C[3Nx]))/Dx return(Intensity) # computing the current for CE mechanism # dans le cas où l'espèce étudiée est réduite def compute_I_CE_red(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS((C[Nx+1]-C[Nx+0]) - (C[2Nx+1]-C[2Nx]))/Dx return(Intensity) # dans le cas où l'espèce étudiée est oxydée def compute_I_CE_ox(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS(1(C[Nx+1]-C[Nx+0]) - (C[2Nx+1]-C[2Nx]))/Dx return(Intensity) # computing the current for CE mechanism # dans le cas où l'espèce étudiée est réduite def compute_I_EC_red(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS((C[1]-C[0]) - (C[Nx+1]-C[Nx]))/Dx return(Intensity) # dans le cas où l'espèce étudiée est oxydée def compute_I_EC_ox(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS((C[1]-C[0]) - (C[Nx+1]-C[Nx]))/Dx return(Intensity) # computing the current for E mechanism # dans le cas où l'espèce étudiée est réduite def compute_I_E_red(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = -nFDS(1(C[1]-C[0])-1(C[Nx+1] - C[Nx]))/Dx return(Intensity) # dans le cas où l'espèce étudiée est oxydée def compute_I_E_ox(C, cst_all): n, F, D, S, Nx, Dx = cst_all["n"], cst_all["F"], cst_all["D"], cst_all["S"], cst_all["Nx"], cst_all["Dx"] Intensity = +nFDS(1(C[1]-C[0]) - (C[Nx+1]-C[Nx]))/Dx return(Intensity)	40.417254	237	0.589624	4,743	22,957	2.622391	0.043011	0.11095	0.034571	0.027014	0.886075	0.877955	0.873533	0.87104	0.857212	0.849735	0	0.044491	0.235353	22,957	567	238	40.488536	0.664065	0.204731	0.676796	0	0	0.041008	0	0	0	0	0	0	1	0.124309	false	0	0.005525	0	0.129834	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2efd74c711e060331a787ce52902421a4e61278e	29,550	py	Python	tests/test_inlineparser_std.py	dkuhlman/docutils_asciidoc	a29087585a5fb5e5abd38d5efe48c3d03e77ba37	[ "MIT" ]	4	2020-01-28T15:18:53.000Z	2022-01-21T06:57:52.000Z	tests/test_inlineparser_std.py	dkuhlman/docutils_asciidoc	a29087585a5fb5e5abd38d5efe48c3d03e77ba37	[ "MIT" ]	2	2022-01-13T19:36:45.000Z	2022-01-24T20:11:40.000Z	tests/test_inlineparser_std.py	dkuhlman/docutils_asciidoc	a29087585a5fb5e5abd38d5efe48c3d03e77ba37	[ "MIT" ]	2	2019-03-20T17:29:34.000Z	2020-12-28T13:57:19.000Z	""" test_inlineparser_std ~~~~~~~~~~~~~~~~~~~~~ :copyright: Copyright 2017-2019 by Takeshi KOMIYA :license: Apache License 2.0, see LICENSE for details. """ from docutils import nodes from utils import publish, assert_node from pycmark import addnodes def test_example_289(): text = r"""\!\"\#\$\%\&\'\\+\,\-\.\/\:\;\<\=\>\?\@\[\\\]\^\_\`\{\\|\}\~""" result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, "!\"#$%&'()+,-./:;<=>?@[\\]^_`{\|}~"]) def test_example_290(): text = r"\→\A\a\ \3\φ\«" result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, r"\→\A\a\ \3\φ\«"]) def test_example_291(): text = ("""\\not emphasized\n""" """\\<br/> not a tag\n""" """\\[not a link](/foo)\n""" """\\`not code`\n""" """1\\. not a list\n""" """\\* not a list\n""" """\\# not a heading\n""" """\\[foo]: /url "not a reference"\n""") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("not emphasized\n" "<br/> not a tag\n" "[not a link](/foo)\n" "`not code`\n" "1. not a list\n" "* not a list\n" "# not a heading\n" "[foo]: /url \"not a reference\"")]) def test_example_301(): text = ("``` foo\\+bar\n" "foo\n" "```\n") result = publish(text) assert_node(result[0], nodes.literal_block, classes=['code', 'language-foo+bar']) def test_example_302(): text = ("  & © Æ &Dcaron;\n" "¾ &HilbertSpace; &DifferentialD;\n" "&ClockwiseContourIntegral; &ngE;\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("\xa0 & © Æ Ď\n" "¾ ℋ ⅆ\n" "∲ ≧̸")]) def test_example_303(): result = publish("# Ӓ Ϡ &#98765432; ") assert_node(result, [nodes.document, nodes.paragraph, "# Ӓ Ϡ &#98765432; �"]) def test_example_304(): result = publish("&#X22; &#XD06; ಫ") assert_node(result, [nodes.document, nodes.paragraph, '" ആ ಫ']) def test_example_305(): text = ("&nbsp &x; &#; &#x;\n" "&ThisIsNotDefined; &hi?;") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_306(): result = publish("&copy") assert_node(result, [nodes.document, nodes.paragraph, "&copy"]) def test_example_307(): result = publish("&MadeUpEntity;") assert_node(result, [nodes.document, nodes.paragraph, "&MadeUpEntity;"]) def test_example_308(): result = publish('<a href="öö.html">') assert_node(result, [nodes.document, nodes.raw, '<a href="öö.html">']) def test_example_309(): result = publish('[foo](/föö "föö")') assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "foo"]) assert_node(result[0][0], refuri="/f%C3%B6%C3%B6", reftitle="föö") def test_example_310(): text = ('[foo]\n' '\n' '[foo]: /föö "föö"\n') result = publish(text) assert_node(result, [nodes.document, ([nodes.paragraph, nodes.reference, "foo"], nodes.target)]) assert_node(result[0][0], refuri="/f%C3%B6%C3%B6", reftitle="föö") def test_example_311(): text = ("``` föö\n" "foo\n" "```\n") result = publish(text) assert_node(result, [nodes.document, nodes.literal_block, "foo\n"]) assert_node(result[0], classes=["code", "language-föö"]) def test_example_312(): result = publish("`föö`") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "föö"]) def test_example_313(): result = publish(" föfö") assert_node(result, [nodes.document, nodes.literal_block, "föfö"]) def test_example_314(): result = publish("`foo`") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "foo"]) def test_example_315(): result = publish("`` foo ` bar ``") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "foo ` bar "]) def test_example_316(): result = publish("` `` `") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, " `` "]) def test_example_318(): text = ("`foo bar \n" "baz`\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "foo bar baz"]) def test_example_319(): result = publish("`a\xa0\xa0b`") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "a\xa0\xa0b"]) def test_example_321(): result = publish(r"`foo\`bar`") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.literal, "foo\\"], "bar`")]) def test_example_322(): result = publish("foo``") assert_node(result, [nodes.document, nodes.paragraph, ("foo", [nodes.literal, ""])]) def test_example_323(): result = publish("[not a `link](/foo`)") assert_node(result, [nodes.document, nodes.paragraph, ("[not a ", [nodes.literal, "link](/foo"], ")")]) def test_example_322_2(): result = publish("` a`") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, " a"]) def test_example_323_2(): result = publish("` b `") assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "b"]) def test_example_324(): result = publish("""`<a href="`">`""") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.literal, "<a href=\""], "\">`")]) def test_example_325(): result = publish("""<a href="`">`""") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.raw, '<a href="`">'], "`")]) def test_example_327(): result = publish("<http://foo.bar.`baz>`") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.reference, "http://foo.bar.`baz"], "`")]) def test_example_328(): result = publish("```foo``") assert_node(result, [nodes.document, nodes.paragraph, "```foo``"]) def test_example_329(): result = publish("`foo") assert_node(result, [nodes.document, nodes.paragraph, "`foo"]) def test_example_330(): result = publish("`foo``bar``") assert_node(result, [nodes.document, nodes.paragraph, ("`foo", [nodes.literal, "bar"])]) def test_example_331(): result = publish("foo bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, "foo bar"]) def test_example_332(): result = publish("a * foo bar") assert_node(result, [nodes.document, nodes.paragraph, "a foo bar"]) def test_example_333(): result = publish("""a"foo"""") assert_node(result, [nodes.document, nodes.paragraph, """a"foo""""]) def test_example_334(): result = publish("\xa0a\xa0") assert_node(result, [nodes.document, nodes.paragraph, "\xa0a\xa0"]) def test_example_334_2(): text = ("` `\n" "` `\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ([nodes.literal, "\xa0"], "\n", [nodes.literal, " "])]) def test_example_335(): result = publish("foobar") assert_node(result, [nodes.document, nodes.paragraph, ("foo", [nodes.emphasis, "bar"])]) def test_example_336(): result = publish("5678") assert_node(result, [nodes.document, nodes.paragraph, ("5", [nodes.emphasis, "6"], "78")]) def test_example_337(): result = publish("_foo bar_") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, "foo bar"]) def test_example_340(): result = publish("foo_bar_") assert_node(result, [nodes.document, nodes.paragraph, "foo_bar_"]) def test_example_344(): result = publish("foo-_(bar)_") assert_node(result, [nodes.document, nodes.paragraph, ("foo-", [nodes.emphasis, "(bar)"])]) def test_example_345(): result = publish("_foo") assert_node(result, [nodes.document, nodes.paragraph, "_foo"]) def test_example_347(): result = publish("foo bar\n") assert_node(result, [nodes.document, nodes.paragraph, "foo bar\n"]) def test_example_348(): result = publish("(foo)") assert_node(result, [nodes.document, nodes.paragraph, "(foo)"]) def test_example_349(): result = publish("(foo)") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("(", [nodes.emphasis, "foo"], ")")]) def test_example_353(): result = publish("_(_foo_)_") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("(", [nodes.emphasis, "foo"], ")")]) def test_example_357(): result = publish("_(bar)_.") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.emphasis, "(bar)"], ".")]) def test_example_358(): result = publish("foo bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, "foo bar"]) def test_example_361(): result = publish("foobar") assert_node(result, [nodes.document, nodes.paragraph, ("foo", [nodes.strong, "bar"])]) def test_example_362(): result = publish("__foo bar__") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, "foo bar"]) def test_example_369(): result = publish("__foo, __bar__, baz__") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, ("foo, ", [nodes.strong, "bar"], ", baz")]) def test_example_370(): result = publish("foo-__(bar)__") assert_node(result, [nodes.document, nodes.paragraph, ("foo-", [nodes.strong, "(bar)"])]) def test_example_373(): result = publish("(foo)") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("(", [nodes.strong, "foo"], ")")]) def test_example_374(): result = publish("Gomphocarpus (Gomphocarpus physocarpus, syn.\n" "Asclepias physocarpa)") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, ("Gomphocarpus (", [nodes.emphasis, "Gomphocarpus physocarpus"], ", syn.\n", [nodes.emphasis, "Asclepias physocarpa"], ")")]) def test_example_384(): result = publish("foo [bar](/url)") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.reference, "bar"])]) def test_example_386(): result = publish("_foo __bar__ baz_") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.strong, "bar"], " baz")]) def test_example_388(): result = publish("__foo_ bar_") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ([nodes.emphasis, "foo"], " bar")]) def test_example_389(): result = publish("foo bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.emphasis, "bar"])]) def test_example_391_2(): result = publish("foo*bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, "foobar"]) def test_example_392(): result = publish("foo* bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ([nodes.strong, "foo"], " bar")]) def test_example_393(): result = publish("foo bar") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.strong, "bar"])]) def test_example_395(): result = publish("foo *bar baz* bim** bop") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.strong, ("bar ", [nodes.emphasis, "baz"], " bim")], " bop")]) def test_example_396(): result = publish("foo [bar](/url)") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.reference, nodes.emphasis, "bar"])]) def test_example_397(): result = publish("* is not an empty emphasis") assert_node(result, [nodes.document, nodes.paragraph, " is not an empty emphasis"]) def test_example_398(): result = publish(" is not an empty strong emphasis") assert_node(result, [nodes.document, nodes.paragraph, " is not an empty strong emphasis"]) def test_example_404(): result = publish("foobarbaz") assert_node(result, [nodes.document, nodes.paragraph, ("foo", [nodes.emphasis, nodes.strong, "bar"], "baz")]) def test_example_413(): result = publish("foo ") assert_node(result, [nodes.document, nodes.paragraph, "foo *"]) def test_example_414(): result = publish(r"foo \*") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.emphasis, ""])]) def test_example_415(): result = publish("foo _") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.emphasis, "_"])]) def test_example_419(): result = publish("*foo") assert_node(result, [nodes.document, nodes.paragraph, ("", [nodes.emphasis, "foo"])]) def test_example_420(): result = publish("foo*") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.emphasis, "foo"], "")]) def test_example_421(): result = publish("*foo") assert_node(result, [nodes.document, nodes.paragraph, ("", [nodes.strong, "foo"])]) def test_example_427(): result = publish("foo __") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.emphasis, ""])]) def test_example_441(): result = publish("*foo") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, nodes.strong, "foo"]) def test_example_442(): result = publish("____foo____") assert_node(result, [nodes.document, nodes.paragraph, nodes.strong, nodes.strong, "foo"]) def test_example_444(): result = publish("foo*") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, nodes.strong, "foo"]) def test_example_445(): result = publish("_____foo_____") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, nodes.strong, nodes.strong, "foo"]) def test_example_446(): result = publish("foo _bar* baz_") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.emphasis, "foo _bar"], " baz_")]) def test_example_447(): result = publish("foo __bar baz bim__ bam") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo ", [nodes.strong, "bar baz bim"], " bam")]) def test_example_448(): result = publish("foo bar baz") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.strong, "bar baz"])]) def test_example_450(): result = publish("[bar](/url)") assert_node(result, [nodes.document, nodes.paragraph, ("", [nodes.reference, "bar"])]) def test_example_451(): result = publish("_foo [bar_](/url)") assert_node(result, [nodes.document, nodes.paragraph, ("_foo ", [nodes.reference, "bar_"])]) def test_example_452(): result = publish('<img src="foo" title=""/>') assert_node(result, [nodes.document, nodes.paragraph, ("", [nodes.raw, '<img src="foo" title=""/>'])]) def test_example_453(): result = publish('<a href="">') assert_node(result, [nodes.document, nodes.paragraph, ("", [nodes.raw, '<a href="">'])]) def test_example_455(): result = publish("a ``") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("a ", [nodes.literal, ""])]) def test_example_456(): result = publish("_a `_`_") assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("a ", [nodes.literal, "_"])]) def test_example_565(): result = publish("<http://foo.bar.baz>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "http://foo.bar.baz"]) assert_node(result[0][0], refuri="http://foo.bar.baz") def test_example_566(): result = publish("<http://foo.bar.baz/test?q=hello&id=22&boolean>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "http://foo.bar.baz/test?q=hello&id=22&boolean"]) assert_node(result[0][0], refuri="http://foo.bar.baz/test?q=hello&id=22&boolean") def test_example_567(): result = publish("<irc://foo.bar:2233/baz>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "irc://foo.bar:2233/baz"]) def test_example_568(): result = publish("<MAILTO:FOO@BAR.BAZ>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "MAILTO:FOO@BAR.BAZ"]) def test_example_569(): result = publish("<a+b+c:d>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "a+b+c:d"]) def test_example_570(): result = publish("<made-up-scheme://foo,bar>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "made-up-scheme://foo,bar"]) def test_example_573(): result = publish("<http://foo.bar/baz bim>") assert_node(result, [nodes.document, nodes.paragraph, "<http://foo.bar/baz bim>"]) def test_example_574(): result = publish("<http://example.com/\\[\\>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "http://example.com/\\[\\"]) def test_example_575(): result = publish("<foo@bar.example.com>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "foo@bar.example.com"]) assert_node(result[0][0], refuri='mailto:foo@bar.example.com') def test_example_576(): result = publish("<foo+special@Bar.baz-bar0.com>") assert_node(result, [nodes.document, nodes.paragraph, nodes.reference, "foo+special@Bar.baz-bar0.com"]) def test_example_577(): result = publish(r"<foo\+@bar.example.com>") assert_node(result, [nodes.document, nodes.paragraph, "<foo+@bar.example.com>"]) def test_example_578(): result = publish("<>") assert_node(result, [nodes.document, nodes.paragraph, "<>"]) def test_example_579(): result = publish("< http://foo.bar >") assert_node(result, [nodes.document, nodes.paragraph, "< http://foo.bar >"]) def test_example_580(): result = publish("<m:abc>") assert_node(result, [nodes.document, nodes.paragraph, "<m:abc>"]) def test_example_581(): result = publish("<foo.bar.baz>") assert_node(result, [nodes.document, nodes.paragraph, "<foo.bar.baz>"]) def test_example_582(): result = publish("http://example.com") assert_node(result, [nodes.document, nodes.paragraph, "http://example.com"]) def test_example_583(): result = publish("foo@bar.example.com") assert_node(result, [nodes.document, nodes.paragraph, "foo@bar.example.com"]) def test_example_584(): result = publish("<a><bab><c2c>") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.raw, "<a>"], [nodes.raw, "<bab>"], [nodes.raw, "<c2c>"])]) assert_node(result[0][0], format='html') assert_node(result[0][1], format='html') assert_node(result[0][2], format='html') def test_example_585(): result = publish("<a/><b2/>") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.raw, "<a/>"], [nodes.raw, "<b2/>"])]) def test_example_586(): text = ('<a /><b2\n' 'data="foo" >\n') result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ([nodes.raw, "<a />"], [nodes.raw, '<b2\ndata="foo" >'])]) def test_example_587(): text = ("""<a foo="bar" bam = 'baz <em>"</em>'\n""" """_boolean zoop:33=zoop:33 />\n""") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, nodes.raw, text.strip()]) def test_example_588(): result = publish('Foo <responsive-image src="foo.jpg" />') assert_node(result, [nodes.document, nodes.paragraph, ("Foo ", [nodes.raw, '<responsive-image src="foo.jpg" />'])]) def test_example_589(): result = publish("<33> <__>") assert_node(result, [nodes.document, nodes.paragraph, "<33> <__>"]) def test_example_590(): text = '<a h#ref="hi">' result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_591(): text = """<a href="hi'> <a href=hi'>""" result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_592(): text = ("< a><\n" "foo><bar/ >\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text.strip()]) def test_example_593(): text = "<a href='bar'title=title>" result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_594(): result = publish("</a></foo >") assert_node(result, [nodes.document, nodes.paragraph, ([nodes.raw, "</a>"], [nodes.raw, "</foo >"])]) def test_example_595(): text = '</a href="foo">' result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_596(): text = ("foo <!-- this is a\n" "comment - with hyphen -->\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, "<!-- this is a\ncomment - with hyphen -->"])]) def test_example_597(): text = "foo <!-- not a comment -- two hyphens -->" result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_598(): text = ("foo <!--> foo -->\n" "\n" "foo <!-- foo--->\n") result = publish(text) assert_node(result, [nodes.document, ([nodes.paragraph, "foo <!--> foo -->"], [nodes.paragraph, "foo <!-- foo--->"])]) def test_example_599(): result = publish("foo <?php echo $a; ?>\n") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, "<?php echo $a; ?>"])]) def test_example_600(): result = publish("foo <!ELEMENT br EMPTY>\n") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, "<!ELEMENT br EMPTY>"])]) def test_example_601(): result = publish("foo <![CDATA[>&<]]>\n") assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, "<![CDATA[>&<]]>"])]) def test_example_602(): result = publish('foo <a href="ö">\n') assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, '<a href="ö">'])]) def test_example_603(): result = publish('foo <a href="\\">\n') assert_node(result, [nodes.document, nodes.paragraph, ("foo ", [nodes.raw, '<a href="\\">'])]) def test_example_604(): text = '<a href="\"">' result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, text]) def test_example_605(): text = ("foo \n" "baz\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("foo", addnodes.linebreak, "baz")]) def test_example_606(): text = ("foo\\\n" "baz\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("foo", addnodes.linebreak, "baz")]) def test_example_607(): text = ("foo \n" "baz\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("foo", addnodes.linebreak, "baz")]) def test_example_608(): text = ("foo \n" " bar\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, ("foo", addnodes.linebreak, "bar")]) def test_example_610(): text = ("foo \n" "baz*\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, nodes.emphasis, ("foo", addnodes.linebreak, "baz")]) def test_example_611(): text = ("`code \n" "span`\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, nodes.literal, "code span"]) # TODO: add test for HTML tags (Example 614 and 615) def test_example_616(): result = publish("foo\\") assert_node(result, [nodes.document, nodes.paragraph, "foo\\"]) def test_example_617(): result = publish("foo ") assert_node(result, [nodes.document, nodes.paragraph, "foo"]) def test_example_618(): result = publish("### foo\\") assert_node(result, [nodes.document, nodes.section, nodes.title, "foo\\"]) def test_example_619(): result = publish("### foo ") assert_node(result, [nodes.document, nodes.section, nodes.title, "foo"]) def test_example_621(): text = ("foo \n" " baz\n") result = publish(text) assert_node(result, [nodes.document, nodes.paragraph, "foo\nbaz"])	34.805654	118	0.518883	3,066	29,550	4.836921	0.102087	0.098449	0.15644	0.191167	0.807485	0.776264	0.742886	0.697235	0.683682	0.653338	0.000034	0.026461	0.311946	29,550	848	119	34.846698	0.702341	0.006802	0.202509	0	0.071685	0.145252	0.014017	0	0	0	0.001179	0.261649	1	0.243728	false	0	0.005376	0	0.249104	0	0	0	0	null	0	0	1	1	1	1	0	0	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	0	0	6
2c1301fa90bc6d7e21c577fca6119ebb64c49d10	87	py	Python	tests/__init__.py	207leftovers/cs207project	817b0d26490d9c6e70d932544d685af4049a83bd	[ "MIT" ]	null	null	null	tests/__init__.py	207leftovers/cs207project	817b0d26490d9c6e70d932544d685af4049a83bd	[ "MIT" ]	null	null	null	tests/__init__.py	207leftovers/cs207project	817b0d26490d9c6e70d932544d685af4049a83bd	[ "MIT" ]	null	null	null	import pkg_resources from timeseries.TimeSeries import * from timeseries.lazy import *	21.75	35	0.83908	11	87	6.545455	0.545455	0.388889	0	0	0	0	0	0	0	0	0	0	0.114943	87	4	36	21.75	0.935065	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
259db82d580a7eec390b9214d2973f4b661e6d07	3,588	py	Python	tests/test_subsidence.py	sequence-dev/sequence	3806974b3c6a5b4ecec870c9fba5bd2e2ccac108	[ "MIT" ]	1	2021-06-30T21:54:23.000Z	2021-06-30T21:54:23.000Z	tests/test_subsidence.py	sequence-dev/sequence	3806974b3c6a5b4ecec870c9fba5bd2e2ccac108	[ "MIT" ]	2	2019-02-12T04:28:56.000Z	2021-07-27T20:55:25.000Z	tests/test_subsidence.py	sequence-dev/sequence	3806974b3c6a5b4ecec870c9fba5bd2e2ccac108	[ "MIT" ]	3	2020-06-25T21:08:44.000Z	2021-08-22T02:22:26.000Z	import pytest from numpy.testing import assert_array_equal from sequence.subsidence import SubsidenceTimeSeries from landlab import RasterModelGrid def test_bad_filepath(tmpdir): grid = RasterModelGrid((3, 5)) grid.add_full("bedrock_surface__elevation", 0.0, at="node") grid.add_full("topographic__elevation", 0.0, at="node") with pytest.raises(ValueError): SubsidenceTimeSeries(grid) with tmpdir.as_cwd(): with pytest.raises(OSError): SubsidenceTimeSeries(grid, filepath="missing-file.csv") def test_constant_subsidence(tmpdir): grid = RasterModelGrid((3, 5)) grid.add_full("bedrock_surface__elevation", 0.0, at="node") grid.add_full("topographic__elevation", 0.0, at="node") with tmpdir.as_cwd(): with open("subsidence.csv", "w") as fp: fp.write("0.0,1.0\n5.0,1.0") subsidence = SubsidenceTimeSeries(grid, filepath="subsidence.csv") assert_array_equal(grid.at_node["bedrock_surface__increment_of_elevation"], 1.0) subsidence.run_one_step(dt=1.0) assert_array_equal(grid.at_node["bedrock_surface__elevation"], 1.0) subsidence.run_one_step(dt=1.0) assert_array_equal(grid.at_node["bedrock_surface__elevation"], 2.0) def test_linear_subsidence(tmpdir): grid = RasterModelGrid((3, 5)) grid.add_full("bedrock_surface__elevation", 0.0, at="node") grid.add_full("topographic__elevation", 0.0, at="node") with tmpdir.as_cwd(): with open("subsidence.csv", "w") as fp: fp.write("0.0,0.0\n4.0,40.0") subsidence = SubsidenceTimeSeries(grid, filepath="subsidence.csv") assert_array_equal( grid.at_node["bedrock_surface__increment_of_elevation"].reshape((3, 5)), [ [0.0, 10.0, 20.0, 30.0, 40.0], [0.0, 10.0, 20.0, 30.0, 40.0], [0.0, 10.0, 20.0, 30.0, 40.0], ], ) subsidence.run_one_step(dt=1.0) assert_array_equal( grid.at_node["bedrock_surface__elevation"].reshape((3, 5)), [ [0.0, 10.0, 20.0, 30.0, 40.0], [0.0, 10.0, 20.0, 30.0, 40.0], [0.0, 10.0, 20.0, 30.0, 40.0], ], ) subsidence.run_one_step(dt=1.0) assert_array_equal( grid.at_node["bedrock_surface__elevation"].reshape((3, 5)), [ [0.0, 20.0, 40.0, 60.0, 80.0], [0.0, 20.0, 40.0, 60.0, 80.0], [0.0, 20.0, 40.0, 60.0, 80.0], ], ) def test_set_subsidence_file(tmpdir): grid = RasterModelGrid((3, 5)) grid.add_full("bedrock_surface__elevation", 0.0, at="node") grid.add_full("topographic__elevation", 0.0, at="node") with tmpdir.as_cwd(): with open("subsidence-0.csv", "w") as fp: fp.write("0.0,10.0\n4.0,10.0") subsidence = SubsidenceTimeSeries(grid, filepath="subsidence-0.csv") assert_array_equal( grid.at_node["bedrock_surface__increment_of_elevation"], 10.0 ) subsidence.run_one_step(dt=1.0) assert_array_equal(grid.at_node["bedrock_surface__elevation"], 10.0) with open("subsidence-1.csv", "w") as fp: fp.write("0.0,-100.0\n4.0,-100.0") subsidence.filepath = "subsidence-1.csv" assert_array_equal( grid.at_node["bedrock_surface__increment_of_elevation"], -100.0 ) subsidence.run_one_step(dt=1.0) assert_array_equal(grid.at_node["bedrock_surface__elevation"], -90.0)	34.834951	88	0.607302	510	3,588	4.031373	0.127451	0.02821	0.085603	0.097276	0.802529	0.793288	0.76751	0.76751	0.750973	0.750973	0	0.084808	0.244147	3,588	102	89	35.176471	0.673304	0	0.555556	0	0	0.208751	0.1466	0	0	0	0	0.135802	1	0.049383	false	0	0.049383	0	0.098765	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
25d9b50e7c2c94801f3d8a09035b02aca96474cf	29	py	Python	apps/rosetta/python/pysetta/devel/__init__.py	YaoYinYing/rifdock	cbde6bbeefd29a066273bdf2937cf36b0d2e6335	[ "Apache-2.0" ]	25	2019-07-23T01:03:48.000Z	2022-03-31T04:16:08.000Z	apps/rosetta/python/pysetta/devel/__init__.py	YaoYinYing/rifdock	cbde6bbeefd29a066273bdf2937cf36b0d2e6335	[ "Apache-2.0" ]	13	2018-01-30T17:45:57.000Z	2022-03-28T11:02:44.000Z	apps/rosetta/python/pysetta/devel/__init__.py	YaoYinYing/rifdock	cbde6bbeefd29a066273bdf2937cf36b0d2e6335	[ "Apache-2.0" ]	14	2018-02-08T01:42:28.000Z	2022-03-31T12:56:17.000Z	from _pysetta_devel import *	14.5	28	0.827586	4	29	5.5	1	0	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.88	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
25ddfadf09f5fc9a3208661ddf29226fa846b2f8	181	py	Python	server/hotdesk/main/__init__.py	arianmonti/Hotdesk-Indicator	496036d53682c8a89636f0a29c5ee8e38dc9b604	[ "MIT" ]	3	2020-09-25T16:55:34.000Z	2021-03-02T11:59:48.000Z	server/hotdesk/main/__init__.py	arianmonti/Hotdesk-Indicator	496036d53682c8a89636f0a29c5ee8e38dc9b604	[ "MIT" ]	17	2020-04-03T15:34:32.000Z	2021-06-02T09:26:38.000Z	server/hotdesk/main/__init__.py	arianmonti/Hotdesk-Indicator	496036d53682c8a89636f0a29c5ee8e38dc9b604	[ "MIT" ]	4	2020-09-30T18:01:38.000Z	2021-09-30T19:46:00.000Z	"""Main subapp.""" from flask import Blueprint main = Blueprint("main", __name__) from . import views, forms, errors # noqa: E402 __all__ = ["main", "views", "forms", "errors"]	20.111111	48	0.662983	22	181	5.090909	0.590909	0.232143	0.285714	0	0	0	0	0	0	0	0	0.019737	0.160221	181	8	49	22.625	0.717105	0.132597	0	0	0	0.15894	0	0	0	0	0	0	1	0	false	0	0.5	0	0.5	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	1	6
25e895ef1576b38064a273ed2555aadf89a92262	138	py	Python	tests/admin.py	caplena/django-hashid-field	2d24c166f2c5b03db56c23078ab3619823f7b159	[ "MIT" ]	310	2016-10-04T20:26:01.000Z	2022-03-30T05:10:20.000Z	tests/admin.py	caplena/django-hashid-field	2d24c166f2c5b03db56c23078ab3619823f7b159	[ "MIT" ]	64	2016-12-27T18:29:01.000Z	2022-02-12T01:37:20.000Z	tests/admin.py	caplena/django-hashid-field	2d24c166f2c5b03db56c23078ab3619823f7b159	[ "MIT" ]	35	2017-06-05T14:48:31.000Z	2022-03-17T14:34:00.000Z	from django.contrib import admin from tests.models import Record @admin.register(Record) class RecordAdmin(admin.ModelAdmin): pass	15.333333	36	0.789855	18	138	6.055556	0.722222	0	0	0	0	0	0	0	0	0	0	0	0.137681	138	8	37	17.25	0.915966	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0.2	0.4	0	0.6	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	1	0	6
d321148ee4ca115fc30202d1f3e9ad0f6e07cb3e	320	py	Python	examples/OpenFPGA/config_chain/extract_configuration_order.py	talashilkarraj/spydrnet-physical	d13bcbb0feef7d5c93aa60af4a916f837128a5ad	[ "BSD-3-Clause" ]	3	2021-11-05T18:25:21.000Z	2022-03-02T22:03:02.000Z	examples/OpenFPGA/config_chain/extract_configuration_order.py	talashilkarraj/spydrnet-physical	d13bcbb0feef7d5c93aa60af4a916f837128a5ad	[ "BSD-3-Clause" ]	null	null	null	examples/OpenFPGA/config_chain/extract_configuration_order.py	talashilkarraj/spydrnet-physical	d13bcbb0feef7d5c93aa60af4a916f837128a5ad	[ "BSD-3-Clause" ]	2	2022-01-10T14:27:59.000Z	2022-03-13T08:21:33.000Z	""" ================================= Extract configuration chain order ================================= This example demonstrate how to extract configuration chain order from the restructured netlist """ from os import path import spydrnet as sdn import spydrnet_physical as sdnphy # TODO print("NotImplemented")	18.823529	70	0.63125	33	320	6.090909	0.727273	0.199005	0.248756	0.298507	0	0	0	0	0	0	0	0	0.128125	320	16	71	20	0.72043	0.640625	0	0	0	0.132075	0	0	0	0	0.0625	0	1	0	true	0	0.75	0	0.75	0.25	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	1	0	0	0	1	0	1	0	1	0	6
d33f039ec98dd93ac7a4ef3b257032a838bdaf4e	42	py	Python	sdepend/__init__.py	estcube/sdepend	c26fe9975ceccd02299eff82d30efb46e9da3ade	[ "MIT" ]	null	null	null	sdepend/__init__.py	estcube/sdepend	c26fe9975ceccd02299eff82d30efb46e9da3ade	[ "MIT" ]	null	null	null	sdepend/__init__.py	estcube/sdepend	c26fe9975ceccd02299eff82d30efb46e9da3ade	[ "MIT" ]	null	null	null	from .sdepend import TagValue, DependNode	21	41	0.833333	5	42	7	1	0	0	0	0	0	0	0	0	0	0	0	0.119048	42	1	42	42	0.945946	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
d3887ce5b101a3bf3475074ff39b19d1ad3752ad	10,896	py	Python	pipeline_plugins/tests/components/utils/test_cc_get_ips_info_by_str.py	wkma/bk-sops	8fb5609c0c4495c28d588fbafa9d9f5f2976929b	[ "Apache-2.0" ]	2	2021-07-28T01:48:31.000Z	2021-11-17T11:02:26.000Z	pipeline_plugins/tests/components/utils/test_cc_get_ips_info_by_str.py	wkma/bk-sops	8fb5609c0c4495c28d588fbafa9d9f5f2976929b	[ "Apache-2.0" ]	null	null	null	pipeline_plugins/tests/components/utils/test_cc_get_ips_info_by_str.py	wkma/bk-sops	8fb5609c0c4495c28d588fbafa9d9f5f2976929b	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- """ Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community Edition) available. Copyright (C) 2017-2020 THL A29 Limited, a Tencent company. All rights reserved. Licensed under the MIT License (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://opensource.org/licenses/MIT 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 mock import MagicMock, patch from django.test import TestCase from pipeline_plugins.components.utils.sites.open.utils import cc_get_ips_info_by_str class CCGetIPsInfoByStrTestCase(TestCase): def setUp(self): self.username = "tester" self.biz_cc_id = 123 self.supplier_account = "test_supplier_account" self.maxDiff = None def test_ip_format(self): ip_str = "1.1.1.1,2.2.2.2\n3.3.3.3,4.4.4.4" get_business_host_topo_return = [ { "host": {"bk_host_id": 1, "bk_host_innerip": "1.1.1.1", "bk_cloud_id": 0}, "module": [{"bk_module_id": 1, "bk_module_name": "module_1"}], "set": [{"bk_set_id": 1, "bk_set_name": "set_1"}], }, { "host": {"bk_host_id": 2, "bk_host_innerip": "2.2.2.2", "bk_cloud_id": 0}, "module": [{"bk_module_id": 2, "bk_module_name": "module_2"}], "set": [{"bk_set_id": 2, "bk_set_name": "set_2"}], }, { "host": {"bk_host_id": 3, "bk_host_innerip": "3.3.3.3", "bk_cloud_id": 0}, "module": [{"bk_module_id": 3, "bk_module_name": "module_3"}], "set": [{"bk_set_id": 3, "bk_set_name": "set_3"}], }, ] cmdb = MagicMock() cmdb.get_business_host_topo = MagicMock(return_value=get_business_host_topo_return) supplier_account_for_business = MagicMock(return_value=self.supplier_account) with patch( "pipeline_plugins.components.utils.sites.open.utils.supplier_account_for_business", supplier_account_for_business, ): with patch("pipeline_plugins.components.utils.sites.open.utils.cmdb", cmdb): result = cc_get_ips_info_by_str(username=self.username, biz_cc_id=self.biz_cc_id, ip_str=ip_str) supplier_account_for_business.assert_called_once_with(self.biz_cc_id) cmdb.get_business_host_topo.assert_called_once_with( username=self.username, bk_biz_id=self.biz_cc_id, supplier_account=self.supplier_account, host_fields=["bk_host_innerip", "bk_host_id", "bk_cloud_id"], ip_list=["1.1.1.1", "2.2.2.2", "3.3.3.3", "4.4.4.4"], ) self.assertEqual(result["result"], True) self.assertEqual( result["ip_result"], [ { "InnerIP": "1.1.1.1", "HostID": 1, "Source": 0, "Sets": [{"bk_set_id": 1, "bk_set_name": "set_1"}], "Modules": [{"bk_module_id": 1, "bk_module_name": "module_1"}], }, { "InnerIP": "2.2.2.2", "HostID": 2, "Source": 0, "Sets": [{"bk_set_id": 2, "bk_set_name": "set_2"}], "Modules": [{"bk_module_id": 2, "bk_module_name": "module_2"}], }, { "InnerIP": "3.3.3.3", "HostID": 3, "Source": 0, "Sets": [{"bk_set_id": 3, "bk_set_name": "set_3"}], "Modules": [{"bk_module_id": 3, "bk_module_name": "module_3"}], }, ], ) self.assertEqual(result["ip_count"], 3) self.assertEqual(result["invalid_ip"], ["4.4.4.4"]) def test_set_module_format(self): ip_str = "set_1\|module_1\|1.1.1.1,set_2\|module_2\|2.2.2.2\nset_3\|module_3\|3.3.3.3,set_3\|module_3\|4.4.4.4" get_business_host_topo_return = [ { "host": {"bk_host_id": 1, "bk_host_innerip": "1.1.1.1", "bk_cloud_id": 0}, "module": [{"bk_module_id": 1, "bk_module_name": "module_1"}], "set": [{"bk_set_id": 1, "bk_set_name": "set_1"}], }, { "host": {"bk_host_id": 2, "bk_host_innerip": "2.2.2.2", "bk_cloud_id": 0}, "module": [{"bk_module_id": 2, "bk_module_name": "module_2"}], "set": [{"bk_set_id": 2, "bk_set_name": "set_2"}], }, { "host": {"bk_host_id": 3, "bk_host_innerip": "3.3.3.3", "bk_cloud_id": 0}, "module": [{"bk_module_id": 3, "bk_module_name": "module_3"}], "set": [{"bk_set_id": 3, "bk_set_name": "set_3"}], }, ] cmdb = MagicMock() cmdb.get_business_host_topo = MagicMock(return_value=get_business_host_topo_return) supplier_account_for_business = MagicMock(return_value=self.supplier_account) with patch( "pipeline_plugins.components.utils.sites.open.utils.supplier_account_for_business", supplier_account_for_business, ): with patch("pipeline_plugins.components.utils.sites.open.utils.cmdb", cmdb): result = cc_get_ips_info_by_str(username=self.username, biz_cc_id=self.biz_cc_id, ip_str=ip_str) supplier_account_for_business.assert_called_once_with(self.biz_cc_id) cmdb.get_business_host_topo.assert_called_once_with( username=self.username, bk_biz_id=self.biz_cc_id, supplier_account=self.supplier_account, host_fields=["bk_host_innerip", "bk_host_id", "bk_cloud_id"], ip_list=["1.1.1.1", "2.2.2.2", "3.3.3.3", "4.4.4.4"], ) self.assertEqual(result["result"], True) self.assertEqual( result["ip_result"], [ { "InnerIP": "1.1.1.1", "HostID": 1, "Source": 0, "Sets": [{"bk_set_id": 1, "bk_set_name": "set_1"}], "Modules": [{"bk_module_id": 1, "bk_module_name": "module_1"}], "SetID": 1, "SetName": "set_1", "ModuleID": 1, "ModuleName": "module_1", }, { "InnerIP": "2.2.2.2", "HostID": 2, "Source": 0, "Sets": [{"bk_set_id": 2, "bk_set_name": "set_2"}], "Modules": [{"bk_module_id": 2, "bk_module_name": "module_2"}], "SetID": 2, "SetName": "set_2", "ModuleID": 2, "ModuleName": "module_2", }, { "InnerIP": "3.3.3.3", "HostID": 3, "Source": 0, "Sets": [{"bk_set_id": 3, "bk_set_name": "set_3"}], "Modules": [{"bk_module_id": 3, "bk_module_name": "module_3"}], "SetID": 3, "SetName": "set_3", "ModuleID": 3, "ModuleName": "module_3", }, ], ) self.assertEqual(result["ip_count"], 3) self.assertEqual(result["invalid_ip"], ["4.4.4.4"]) def test_cloud_ip_format(self): ip_str = "0:1.1.1.1,0:2.2.2.2\n0:3.3.3.3,0:4.4.4.4" get_business_host_topo_return = [ { "host": {"bk_host_id": 1, "bk_host_innerip": "1.1.1.1", "bk_cloud_id": 0}, "module": [{"bk_module_id": 1, "bk_module_name": "module_1"}], "set": [{"bk_set_id": 1, "bk_set_name": "set_1"}], }, { "host": {"bk_host_id": 2, "bk_host_innerip": "2.2.2.2", "bk_cloud_id": 0}, "module": [{"bk_module_id": 2, "bk_module_name": "module_2"}], "set": [{"bk_set_id": 2, "bk_set_name": "set_2"}], }, { "host": {"bk_host_id": 3, "bk_host_innerip": "3.3.3.3", "bk_cloud_id": 0}, "module": [{"bk_module_id": 3, "bk_module_name": "module_3"}], "set": [{"bk_set_id": 3, "bk_set_name": "set_3"}], }, ] cmdb = MagicMock() cmdb.get_business_host_topo = MagicMock(return_value=get_business_host_topo_return) supplier_account_for_business = MagicMock(return_value=self.supplier_account) with patch( "pipeline_plugins.components.utils.sites.open.utils.supplier_account_for_business", supplier_account_for_business, ): with patch("pipeline_plugins.components.utils.sites.open.utils.cmdb", cmdb): result = cc_get_ips_info_by_str(username=self.username, biz_cc_id=self.biz_cc_id, ip_str=ip_str) supplier_account_for_business.assert_called_once_with(self.biz_cc_id) cmdb.get_business_host_topo.assert_called_once_with( username=self.username, bk_biz_id=self.biz_cc_id, supplier_account=self.supplier_account, host_fields=["bk_host_innerip", "bk_host_id", "bk_cloud_id"], ip_list=["1.1.1.1", "2.2.2.2", "3.3.3.3", "4.4.4.4"], ) self.assertEqual(result["result"], True) self.assertEqual( result["ip_result"], [ { "InnerIP": "1.1.1.1", "HostID": 1, "Source": 0, "Sets": [{"bk_set_id": 1, "bk_set_name": "set_1"}], "Modules": [{"bk_module_id": 1, "bk_module_name": "module_1"}], }, { "InnerIP": "2.2.2.2", "HostID": 2, "Source": 0, "Sets": [{"bk_set_id": 2, "bk_set_name": "set_2"}], "Modules": [{"bk_module_id": 2, "bk_module_name": "module_2"}], }, { "InnerIP": "3.3.3.3", "HostID": 3, "Source": 0, "Sets": [{"bk_set_id": 3, "bk_set_name": "set_3"}], "Modules": [{"bk_module_id": 3, "bk_module_name": "module_3"}], }, ], ) self.assertEqual(result["ip_count"], 3) self.assertEqual(result["invalid_ip"], ["4.4.4.4"])	44.839506	115	0.51395	1,374	10,896	3.732897	0.111354	0.014428	0.014623	0.06317	0.805615	0.798986	0.795672	0.786703	0.785143	0.785143	0	0.045273	0.333058	10,896	242	116	45.024793	0.66052	0.066263	0.652778	0	0.013889	0.288806	0.058037	0	0	0	0	0.083333	1	0.018519	false	0	0.013889	0	0.037037	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
d39658d80fe0b2e9e624130ffbce3a21ed214ef7	31	py	Python	tests/config.py	zesk06/pykscores	3148b3ec023a2b526685255d01896991415c6730	[ "Apache-2.0" ]	null	null	null	tests/config.py	zesk06/pykscores	3148b3ec023a2b526685255d01896991415c6730	[ "Apache-2.0" ]	null	null	null	tests/config.py	zesk06/pykscores	3148b3ec023a2b526685255d01896991415c6730	[ "Apache-2.0" ]	null	null	null	print('config.py file loaded')	15.5	30	0.741935	5	31	4.6	1	0	0	0	0	0	0	0	0	0	0	0	0.096774	31	1	31	31	0.821429	0	0	0	0	0.677419	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	6
d39a3aef4172c4792959c009fe7ec400b31d2c03	179	py	Python	state.py	Kunalmighty/BlueJaysGame	76936cea8a57542bf7ea3d546f851f9f9771931f	[ "MIT" ]	null	null	null	state.py	Kunalmighty/BlueJaysGame	76936cea8a57542bf7ea3d546f851f9f9771931f	[ "MIT" ]	null	null	null	state.py	Kunalmighty/BlueJaysGame	76936cea8a57542bf7ea3d546f851f9f9771931f	[ "MIT" ]	null	null	null	class State(object): def __init__(self): pass def render(self): pass def update(self, time): pass def event(self, event): pass	12.785714	27	0.52514	21	179	4.285714	0.52381	0.233333	0.244444	0	0	0	0	0	0	0	0	0	0.379888	179	13	28	13.769231	0.810811	0	0.444444	0	0	0	0	0	0	0	0	0	1	0.444444	false	0.444444	0	0	0.555556	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	0	6
d3aa77298e312562d153b1a2d5af95658d568623	97	py	Python	alternatives/server-flask/src/core/resolvers/__init__.py	TaitoUnited/full-stack-template	58529515c2f3dd765074b4c5f326f6336646f4e7	[ "MIT" ]	21	2019-10-12T06:04:43.000Z	2022-03-31T06:03:34.000Z	alternatives/server-flask/src/core/resolvers/__init__.py	TaitoUnited/server-template	67f370f212adefd96da2404077e575764f6a1b11	[ "MIT" ]	64	2018-04-22T09:39:19.000Z	2019-06-14T12:32:08.000Z	alternatives/server-flask/src/core/resolvers/__init__.py	TaitoUnited/full-stack-template	58529515c2f3dd765074b4c5f326f6336646f4e7	[ "MIT" ]	4	2019-11-03T22:47:56.000Z	2022-01-09T11:52:15.000Z	# GraphQL API resolvers from . import media_resolver # noqa from . import post_resolver # noqa	24.25	36	0.762887	13	97	5.538462	0.692308	0.277778	0	0	0	0	0	0	0	0	0	0	0.185567	97	3	37	32.333333	0.911392	0.319588	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
6c9d6ac8e14b4524b1ead2538381e76e21adf35f	8,785	py	Python	tests/test_resource_tracker/test_resource_group_text_attribute_views.py	Sispheor/squest	f852fe7986521a9d8cd9fb5eb0b56aa15f22548c	[ "Apache-2.0" ]	112	2021-04-21T08:52:55.000Z	2022-03-01T15:09:19.000Z	tests/test_resource_tracker/test_resource_group_text_attribute_views.py	Sispheor/squest	f852fe7986521a9d8cd9fb5eb0b56aa15f22548c	[ "Apache-2.0" ]	216	2021-04-21T09:06:47.000Z	2022-03-30T14:21:28.000Z	tests/test_resource_tracker/test_resource_group_text_attribute_views.py	Sispheor/squest	f852fe7986521a9d8cd9fb5eb0b56aa15f22548c	[ "Apache-2.0" ]	21	2021-04-20T13:53:54.000Z	2022-03-30T21:43:04.000Z	from copy import copy from django.urls import reverse from resource_tracker.models import ResourceGroupTextAttributeDefinition, Resource from tests.test_resource_tracker.base_test_resource_tracker import BaseTestResourceTracker class TestResourceGroupTextAttributeViews(BaseTestResourceTracker): def setUp(self): super(TestResourceGroupTextAttributeViews, self).setUp() def test_resource_group_text_attribute_create(self): args = { "resource_group_id": self.rg_physical_servers.id, } url = reverse('resource_tracker:resource_group_text_attribute_create', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) self.assertTrue("resource_group" in response.context) new_name = "new_text_attribute_name" data = { "name": new_name } number_text_attribute_before = ResourceGroupTextAttributeDefinition.objects.all().count() response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.assertEqual(number_text_attribute_before + 1, ResourceGroupTextAttributeDefinition.objects.all().count()) self.assertTrue(ResourceGroupTextAttributeDefinition.objects.filter(name="new_text_attribute_name", resource_group=self.rg_physical_servers).exists()) # test POST new_name = "new_text_attribute_name_2" data = { "name": new_name, } response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.assertTrue(ResourceGroupTextAttributeDefinition.objects.filter(name="new_text_attribute_name_2", resource_group=self.rg_physical_servers).exists()) # test POST with already exist attribute response = self.client.post(url, data=data) self.assertEqual(200, response.status_code) self.assertEqual(f"Attribute {new_name} already exist in {self.rg_physical_servers.name}", response.context['form'].errors['name'][0]) def test_resource_group_text_attribute_create_logout(self): self.client.logout() args = { "resource_group_id": self.rg_physical_servers.id, } url = reverse('resource_tracker:resource_group_text_attribute_create', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(302, response.status_code) def test_resource_group_text_attribute_edit(self): args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_edit', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) new_name = "new_text_attribute_name" data = { "name": new_name } response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.rg_physical_servers_description.refresh_from_db() self.assertEqual(self.rg_physical_servers_description.name, "new_text_attribute_name") def test_cannot_edit_resource_group_text_attribute_when_logout(self): self.client.logout() args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_edit', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(302, response.status_code) def test_resource_group_text_attribute_edit_existing_name(self): args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_edit', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) new_name = self.rg_physical_servers_text.name data = { "name": new_name } old_name = self.rg_physical_servers_description.name response = self.client.post(url, data=data) self.assertEqual(200, response.status_code) self.rg_physical_servers_description.refresh_from_db() self.assertEqual(self.rg_physical_servers_description.name, old_name) def test_resource_group_text_attribute_edit_same_name(self): args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_edit', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) # test POST without producer or consumer new_name = self.rg_physical_servers_text.name data = { "name": self.rg_physical_servers_description.name, } response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) def test_resource_group_text_attribute_delete(self): args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_delete', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) # test POST attribute_id = copy(self.rg_physical_servers_description.id) self.assertTrue(ResourceGroupTextAttributeDefinition.objects.filter(id=attribute_id).exists()) response = self.client.post(url) self.assertEqual(302, response.status_code) self.assertFalse(ResourceGroupTextAttributeDefinition.objects.filter(id=attribute_id).exists()) def test_cannot_delete_resource_group_text_attribute_when_logout(self): self.client.logout() args = { "resource_group_id": self.rg_physical_servers.id, "attribute_id": self.rg_physical_servers_description.id } url = reverse('resource_tracker:resource_group_text_attribute_delete', kwargs=args) response = self.client.get(url) self.assertEqual(302, response.status_code) def test_create_resource_after_adding_text_attributes(self): args = { "resource_group_id": self.rg_physical_servers.id, } url = reverse('resource_tracker:resource_group_text_attribute_create', kwargs=args) # test GET response = self.client.get(url) self.assertEqual(200, response.status_code) self.assertTrue("resource_group" in response.context) new_name = "new_text_attribute_name" data = { "name": new_name } number_text_attribute_before = ResourceGroupTextAttributeDefinition.objects.all().count() response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.assertEqual(number_text_attribute_before + 1, ResourceGroupTextAttributeDefinition.objects.all().count()) self.assertTrue(ResourceGroupTextAttributeDefinition.objects.filter(name="new_text_attribute_name", resource_group=self.rg_physical_servers).exists()) # test POST with producer new_name = "new_text_attribute_name_2" data = { "name": new_name, } response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.assertTrue(ResourceGroupTextAttributeDefinition.objects.filter(name="new_text_attribute_name_2", resource_group=self.rg_physical_servers).exists()) url = reverse('resource_tracker:resource_group_resource_create', kwargs=args) data = { "name": "new resource" } response = self.client.post(url, data=data) self.assertEqual(302, response.status_code) self.assertIsInstance(Resource.objects.get(name="new resource"), Resource) url = reverse('resource_tracker:resource_group_resource_list', kwargs=args) response = self.client.get(url, data=data) self.assertEqual(200, response.status_code)	42.439614	126	0.668298	962	8,785	5.782744	0.086279	0.079454	0.072982	0.109473	0.877225	0.862844	0.856732	0.781772	0.781772	0.773324	0	0.010093	0.244394	8,785	206	127	42.645631	0.82796	0.021969	0.698113	0	0	0.138144	0.096759	0	0	0	0	0.213836	1	0.062893	false	0	0.025157	0	0.09434	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
6ca8d5b2f9615458cce3d9312bd389fd0cb4712f	300,176	py	Python	PySide2/QtCore.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	PySide2/QtCore.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	PySide2/QtCore.py	arjun-namdeo/py_stubs	605bb167e239978f5417f3f1fc1f5c12e2a243cc	[ "MIT" ]	null	null	null	class ClassInfo(object): def __call__(args, kwargs): """ x.__call__(...) <==> x(...) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass __new__ = None class Property(object): def __call__(args, *kwargs): """ x.__call__(...) <==> x(...) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def getter(args, *kwargs): pass def read(args, *kwargs): pass def setter(args, *kwargs): pass def write(args, *kwargs): pass __new__ = None class _Object(object): __dict__ = None class QtMsgType(object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __and__(args, *kwargs): """ x.__and__(y) <==> x&y """ pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __index__(args, *kwargs): """ x[y:z] <==> x[y.__index__():z.__index__()] """ pass def __int__(args, *kwargs): """ x.__int__() <==> int(x) """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __long__(args, *kwargs): """ x.__long__() <==> long(x) """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __or__(args, *kwargs): """ x.__or__(y) <==> x\|y """ pass def __pos__(args, *kwargs): """ x.__pos__() <==> +x """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rand__(args, *kwargs): """ x.__rand__(y) <==> y&x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __ror__(args, kwargs): """ x.__ror__(y) <==> y\|x """ pass def __rsub__(args, *kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rxor__(args, *kwargs): """ x.__rxor__(y) <==> y^x """ pass def __str__(args, *kwargs): """ x.__str__() <==> str(x) """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __xor__(args, *kwargs): """ x.__xor__(y) <==> x^y """ pass name = None QtCriticalMsg = None QtDebugMsg = None QtFatalMsg = None QtInfoMsg = None QtSystemMsg = None QtWarningMsg = None __new__ = None values = {} class MetaFunction(object): """ MetaFunction """ def __call__(args, *kwargs): """ x.__call__(...) <==> x(...) """ pass __new__ = None class Signal(object): """ Signal """ def __call__(args, *kwargs): """ x.__call__(...) <==> x(...) """ pass def __getitem__(args, *kwargs): """ x.__getitem__(y) <==> x[y] """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __str__(args, *kwargs): """ x.__str__() <==> str(x) """ pass __new__ = None class Slot(object): """ Slot """ def __call__(args, *kwargs): """ x.__call__(...) <==> x(...) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass __new__ = None class QMetaProperty(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def enumerator(args, *kwargs): pass def hasNotifySignal(args, *kwargs): pass def hasStdCppSet(args, *kwargs): pass def isConstant(args, *kwargs): pass def isDesignable(args, *kwargs): pass def isEditable(args, *kwargs): pass def isEnumType(args, *kwargs): pass def isFinal(args, *kwargs): pass def isFlagType(args, *kwargs): pass def isReadable(args, *kwargs): pass def isResettable(args, *kwargs): pass def isScriptable(args, *kwargs): pass def isStored(args, *kwargs): pass def isUser(args, *kwargs): pass def isValid(args, *kwargs): pass def isWritable(args, *kwargs): pass def name(args, *kwargs): pass def notifySignal(args, *kwargs): pass def notifySignalIndex(args, *kwargs): pass def propertyIndex(args, *kwargs): pass def read(args, *kwargs): pass def readOnGadget(args, *kwargs): pass def reset(args, *kwargs): pass def resetOnGadget(args, *kwargs): pass def revision(args, *kwargs): pass def type(args, *kwargs): pass def typeName(args, *kwargs): pass def userType(args, *kwargs): pass def write(args, *kwargs): pass def writeOnGadget(args, *kwargs): pass __new__ = None class QJsonValue(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def isArray(args, *kwargs): pass def isBool(args, *kwargs): pass def isDouble(args, *kwargs): pass def isNull(args, *kwargs): pass def isObject(args, *kwargs): pass def isString(args, *kwargs): pass def isUndefined(args, *kwargs): pass def toArray(args, *kwargs): pass def toBool(args, *kwargs): pass def toDouble(args, *kwargs): pass def toInt(args, *kwargs): pass def toObject(args, *kwargs): pass def toString(args, *kwargs): pass def toVariant(args, *kwargs): pass def type(args, *kwargs): pass def fromVariant(args, *kwargs): pass Array = None Bool = None Double = None Null = None Object = None String = None Type = None Undefined = None __new__ = None class Qt(_Object): def qt_getEnumMetaObject(args, *kwargs): pass def qt_getEnumName(args, *kwargs): pass AA_AttributeCount = None AA_DisableHighDpiScaling = None AA_DontCreateNativeWidgetSiblings = None AA_DontShowIconsInMenus = None AA_DontUseNativeMenuBar = None AA_EnableHighDpiScaling = None AA_ForceRasterWidgets = None AA_ImmediateWidgetCreation = None AA_MSWindowsUseDirect3DByDefault = None AA_MacDontSwapCtrlAndMeta = None AA_MacPluginApplication = None AA_NativeWindows = None AA_SetPalette = None AA_ShareOpenGLContexts = None AA_SynthesizeMouseForUnhandledTouchEvents = None AA_SynthesizeTouchForUnhandledMouseEvents = None AA_Use96Dpi = None AA_UseDesktopOpenGL = None AA_UseHighDpiPixmaps = None AA_UseOpenGLES = None AA_UseSoftwareOpenGL = None AA_X11InitThreads = None ALT = None AbsoluteSize = None AccessibleDescriptionRole = None AccessibleTextRole = None ActionMask = None ActionsContextMenu = None ActiveWindowFocusReason = None AddToSelection = None AlignAbsolute = None AlignBaseline = None AlignBottom = None AlignCenter = None AlignHCenter = None AlignHorizontal_Mask = None AlignJustify = None AlignLeading = None AlignLeft = None AlignRight = None AlignTop = None AlignTrailing = None AlignVCenter = None AlignVertical_Mask = None Alignment = None AlignmentFlag = None AllButtons = None AllDockWidgetAreas = None AllToolBarAreas = None AlphaDither_Mask = None AltModifier = None AnchorBottom = None AnchorHorizontalCenter = None AnchorLeft = None AnchorPoint = None AnchorRight = None AnchorTop = None AnchorVerticalCenter = None ApplicationActive = None ApplicationAttribute = None ApplicationHidden = None ApplicationInactive = None ApplicationModal = None ApplicationShortcut = None ApplicationState = None ApplicationStates = None ApplicationSuspended = None ArrowCursor = None ArrowType = None AscendingOrder = None AspectRatioMode = None AutoColor = None AutoConnection = None AutoDither = None AutoText = None AvoidDither = None Axis = None BDiagPattern = None BGMode = None BackButton = None BackgroundColorRole = None BackgroundRole = None BacktabFocusReason = None BeginNativeGesture = None BevelJoin = None BitmapCursor = None BlankCursor = None BlockingQueuedConnection = None BottomDockWidgetArea = None BottomEdge = None BottomLeftCorner = None BottomLeftSection = None BottomRightCorner = None BottomRightSection = None BottomSection = None BottomToolBarArea = None BrushStyle = None BusyCursor = None BypassGraphicsProxyWidget = None BypassWindowManagerHint = None CTRL = None CaseInsensitive = None CaseSensitive = None CaseSensitivity = None CheckState = None CheckStateRole = None Checked = None ClickFocus = None ClipOperation = None ClosedHandCursor = None CoarseTimer = None ColorMode_Mask = None ColorOnly = None ConicalGradientPattern = None ConnectionType = None ContainsItemBoundingRect = None ContainsItemShape = None ContextMenuPolicy = None ControlModifier = None CoordinateSystem = None CopyAction = None Corner = None CoverWindow = None CrossCursor = None CrossPattern = None CursorMoveStyle = None CursorShape = None CustomContextMenu = None CustomCursor = None CustomDashLine = None CustomGesture = None CustomizeWindowHint = None DashDotDotLine = None DashDotLine = None DashLine = None DateFormat = None DayOfWeek = None DecorationPropertyRole = None DecorationRole = None DefaultContextMenu = None DefaultLocaleLongDate = None DefaultLocaleShortDate = None Dense1Pattern = None Dense2Pattern = None Dense3Pattern = None Dense4Pattern = None Dense5Pattern = None Dense6Pattern = None Dense7Pattern = None DescendingOrder = None Desktop = None DeviceCoordinates = None DiagCrossPattern = None Dialog = None DiffuseAlphaDither = None DiffuseDither = None DirectConnection = None DisplayPropertyRole = None DisplayRole = None DitherMode_Mask = None Dither_Mask = None DockWidgetArea = None DockWidgetAreaSizes = None DockWidgetArea_Mask = None DockWidgetAreas = None DontStartGestureOnChildren = None DotLine = None DownArrow = None DragCopyCursor = None DragLinkCursor = None DragMoveCursor = None Drawer = None DropAction = None DropActions = None Edge = None Edges = None EditRole = None ElideLeft = None ElideMiddle = None ElideNone = None ElideRight = None EndNativeGesture = None EventPriority = None ExactHit = None ExtraButton1 = None ExtraButton10 = None ExtraButton11 = None ExtraButton12 = None ExtraButton13 = None ExtraButton14 = None ExtraButton15 = None ExtraButton16 = None ExtraButton17 = None ExtraButton18 = None ExtraButton19 = None ExtraButton2 = None ExtraButton20 = None ExtraButton21 = None ExtraButton22 = None ExtraButton23 = None ExtraButton24 = None ExtraButton3 = None ExtraButton4 = None ExtraButton5 = None ExtraButton6 = None ExtraButton7 = None ExtraButton8 = None ExtraButton9 = None FDiagPattern = None FastTransformation = None FillRule = None FindChildOption = None FindChildOptions = None FindChildrenRecursively = None FindDirectChildrenOnly = None FlatCap = None FocusPolicy = None FocusReason = None FontRole = None ForbiddenCursor = None ForegroundRole = None ForeignWindow = None ForwardButton = None FramelessWindowHint = None Friday = None FuzzyHit = None GestureCanceled = None GestureFinished = None GestureFlag = None GestureFlags = None GestureStarted = None GestureState = None GestureType = None GestureUpdated = None GlobalColor = None GroupSwitchModifier = None HighEventPriority = None HitTestAccuracy = None HorPattern = None Horizontal = None IBeamCursor = None ISODate = None IgnoreAction = None IgnoreAspectRatio = None IgnoredGesturesPropagateToParent = None ImAbsolutePosition = None ImAnchorPosition = None ImCurrentSelection = None ImCursorPosition = None ImCursorRectangle = None ImEnabled = None ImEnterKeyType = None ImFont = None ImHints = None ImMaximumTextLength = None ImMicroFocus = None ImPlatformData = None ImPreferredLanguage = None ImQueryAll = None ImQueryInput = None ImSurroundingText = None ImTextAfterCursor = None ImTextBeforeCursor = None ImageConversionFlag = None ImageConversionFlags = None ImhDate = None ImhDialableCharactersOnly = None ImhDigitsOnly = None ImhEmailCharactersOnly = None ImhExclusiveInputMask = None ImhFormattedNumbersOnly = None ImhHiddenText = None ImhLatinOnly = None ImhLowercaseOnly = None ImhMultiLine = None ImhNoAutoUppercase = None ImhNoPredictiveText = None ImhNone = None ImhPreferLatin = None ImhPreferLowercase = None ImhPreferNumbers = None ImhPreferUppercase = None ImhSensitiveData = None ImhTime = None ImhUppercaseOnly = None ImhUrlCharactersOnly = None InitialSortOrderRole = None InputMethodHint = None InputMethodHints = None InputMethodQuery = None IntersectClip = None IntersectsItemBoundingRect = None IntersectsItemShape = None InvertedLandscapeOrientation = None InvertedPortraitOrientation = None ItemDataRole = None ItemFlag = None ItemFlags = None ItemIsAutoTristate = None ItemIsDragEnabled = None ItemIsDropEnabled = None ItemIsEditable = None ItemIsEnabled = None ItemIsSelectable = None ItemIsTristate = None ItemIsUserCheckable = None ItemIsUserTristate = None ItemNeverHasChildren = None ItemSelectionMode = None ItemSelectionOperation = None KeepAspectRatio = None KeepAspectRatioByExpanding = None Key = None Key_0 = None Key_1 = None Key_2 = None Key_3 = None Key_4 = None Key_5 = None Key_6 = None Key_7 = None Key_8 = None Key_9 = None Key_A = None Key_AE = None Key_Aacute = None Key_Acircumflex = None Key_AddFavorite = None Key_Adiaeresis = None Key_Agrave = None Key_Alt = None Key_AltGr = None Key_Ampersand = None Key_Any = None Key_Apostrophe = None Key_ApplicationLeft = None Key_ApplicationRight = None Key_Aring = None Key_AsciiCircum = None Key_AsciiTilde = None Key_Asterisk = None Key_At = None Key_Atilde = None Key_AudioCycleTrack = None Key_AudioForward = None Key_AudioRandomPlay = None Key_AudioRepeat = None Key_AudioRewind = None Key_Away = None Key_B = None Key_Back = None Key_BackForward = None Key_Backslash = None Key_Backspace = None Key_Backtab = None Key_Bar = None Key_BassBoost = None Key_BassDown = None Key_BassUp = None Key_Battery = None Key_Blue = None Key_Bluetooth = None Key_Book = None Key_BraceLeft = None Key_BraceRight = None Key_BracketLeft = None Key_BracketRight = None Key_BrightnessAdjust = None Key_C = None Key_CD = None Key_Calculator = None Key_Calendar = None Key_Call = None Key_Camera = None Key_CameraFocus = None Key_Cancel = None Key_CapsLock = None Key_Ccedilla = None Key_ChannelDown = None Key_ChannelUp = None Key_Clear = None Key_ClearGrab = None Key_Close = None Key_Codeinput = None Key_Colon = None Key_Comma = None Key_Community = None Key_Context1 = None Key_Context2 = None Key_Context3 = None Key_Context4 = None Key_ContrastAdjust = None Key_Control = None Key_Copy = None Key_Cut = None Key_D = None Key_DOS = None Key_Dead_Abovedot = None Key_Dead_Abovering = None Key_Dead_Acute = None Key_Dead_Belowdot = None Key_Dead_Breve = None Key_Dead_Caron = None Key_Dead_Cedilla = None Key_Dead_Circumflex = None Key_Dead_Diaeresis = None Key_Dead_Doubleacute = None Key_Dead_Grave = None Key_Dead_Hook = None Key_Dead_Horn = None Key_Dead_Iota = None Key_Dead_Macron = None Key_Dead_Ogonek = None Key_Dead_Semivoiced_Sound = None Key_Dead_Tilde = None Key_Dead_Voiced_Sound = None Key_Delete = None Key_Direction_L = None Key_Direction_R = None Key_Display = None Key_Documents = None Key_Dollar = None Key_Down = None Key_E = None Key_ETH = None Key_Eacute = None Key_Ecircumflex = None Key_Ediaeresis = None Key_Egrave = None Key_Eisu_Shift = None Key_Eisu_toggle = None Key_Eject = None Key_End = None Key_Enter = None Key_Equal = None Key_Escape = None Key_Excel = None Key_Exclam = None Key_Execute = None Key_Exit = None Key_Explorer = None Key_F = None Key_F1 = None Key_F10 = None Key_F11 = None Key_F12 = None Key_F13 = None Key_F14 = None Key_F15 = None Key_F16 = None Key_F17 = None Key_F18 = None Key_F19 = None Key_F2 = None Key_F20 = None Key_F21 = None Key_F22 = None Key_F23 = None Key_F24 = None Key_F25 = None Key_F26 = None Key_F27 = None Key_F28 = None Key_F29 = None Key_F3 = None Key_F30 = None Key_F31 = None Key_F32 = None Key_F33 = None Key_F34 = None Key_F35 = None Key_F4 = None Key_F5 = None Key_F6 = None Key_F7 = None Key_F8 = None Key_F9 = None Key_Favorites = None Key_Finance = None Key_Find = None Key_Flip = None Key_Forward = None Key_G = None Key_Game = None Key_Go = None Key_Greater = None Key_Green = None Key_Guide = None Key_H = None Key_Hangul = None Key_Hangul_Banja = None Key_Hangul_End = None Key_Hangul_Hanja = None Key_Hangul_Jamo = None Key_Hangul_Jeonja = None Key_Hangul_PostHanja = None Key_Hangul_PreHanja = None Key_Hangul_Romaja = None Key_Hangul_Special = None Key_Hangul_Start = None Key_Hangup = None Key_Hankaku = None Key_Help = None Key_Henkan = None Key_Hibernate = None Key_Hiragana = None Key_Hiragana_Katakana = None Key_History = None Key_Home = None Key_HomePage = None Key_HotLinks = None Key_Hyper_L = None Key_Hyper_R = None Key_I = None Key_Iacute = None Key_Icircumflex = None Key_Idiaeresis = None Key_Igrave = None Key_Info = None Key_Insert = None Key_J = None Key_K = None Key_Kana_Lock = None Key_Kana_Shift = None Key_Kanji = None Key_Katakana = None Key_KeyboardBrightnessDown = None Key_KeyboardBrightnessUp = None Key_KeyboardLightOnOff = None Key_L = None Key_LastNumberRedial = None Key_Launch0 = None Key_Launch1 = None Key_Launch2 = None Key_Launch3 = None Key_Launch4 = None Key_Launch5 = None Key_Launch6 = None Key_Launch7 = None Key_Launch8 = None Key_Launch9 = None Key_LaunchA = None Key_LaunchB = None Key_LaunchC = None Key_LaunchD = None Key_LaunchE = None Key_LaunchF = None Key_LaunchG = None Key_LaunchH = None Key_LaunchMail = None Key_LaunchMedia = None Key_Left = None Key_Less = None Key_LightBulb = None Key_LogOff = None Key_M = None Key_MailForward = None Key_Market = None Key_Massyo = None Key_MediaLast = None Key_MediaNext = None Key_MediaPause = None Key_MediaPlay = None Key_MediaPrevious = None Key_MediaRecord = None Key_MediaStop = None Key_MediaTogglePlayPause = None Key_Meeting = None Key_Memo = None Key_Menu = None Key_MenuKB = None Key_MenuPB = None Key_Messenger = None Key_Meta = None Key_MicMute = None Key_MicVolumeDown = None Key_MicVolumeUp = None Key_Minus = None Key_Mode_switch = None Key_MonBrightnessDown = None Key_MonBrightnessUp = None Key_Muhenkan = None Key_Multi_key = None Key_MultipleCandidate = None Key_Music = None Key_MySites = None Key_N = None Key_New = None Key_News = None Key_No = None Key_Ntilde = None Key_NumLock = None Key_NumberSign = None Key_O = None Key_Oacute = None Key_Ocircumflex = None Key_Odiaeresis = None Key_OfficeHome = None Key_Ograve = None Key_Ooblique = None Key_Open = None Key_OpenUrl = None Key_Option = None Key_Otilde = None Key_P = None Key_PageDown = None Key_PageUp = None Key_ParenLeft = None Key_ParenRight = None Key_Paste = None Key_Pause = None Key_Percent = None Key_Period = None Key_Phone = None Key_Pictures = None Key_Play = None Key_Plus = None Key_PowerDown = None Key_PowerOff = None Key_PreviousCandidate = None Key_Print = None Key_Printer = None Key_Q = None Key_Question = None Key_QuoteDbl = None Key_QuoteLeft = None Key_R = None Key_Red = None Key_Redo = None Key_Refresh = None Key_Reload = None Key_Reply = None Key_Return = None Key_Right = None Key_Romaji = None Key_RotateWindows = None Key_RotationKB = None Key_RotationPB = None Key_S = None Key_Save = None Key_ScreenSaver = None Key_ScrollLock = None Key_Search = None Key_Select = None Key_Semicolon = None Key_Send = None Key_Settings = None Key_Shift = None Key_Shop = None Key_SingleCandidate = None Key_Slash = None Key_Sleep = None Key_Space = None Key_Spell = None Key_SplitScreen = None Key_Standby = None Key_Stop = None Key_Subtitle = None Key_Super_L = None Key_Super_R = None Key_Support = None Key_Suspend = None Key_SysReq = None Key_T = None Key_THORN = None Key_Tab = None Key_TaskPane = None Key_Terminal = None Key_Time = None Key_ToDoList = None Key_ToggleCallHangup = None Key_Tools = None Key_TopMenu = None Key_TouchpadOff = None Key_TouchpadOn = None Key_TouchpadToggle = None Key_Touroku = None Key_Travel = None Key_TrebleDown = None Key_TrebleUp = None Key_U = None Key_UWB = None Key_Uacute = None Key_Ucircumflex = None Key_Udiaeresis = None Key_Ugrave = None Key_Underscore = None Key_Undo = None Key_Up = None Key_V = None Key_Video = None Key_View = None Key_VoiceDial = None Key_VolumeDown = None Key_VolumeMute = None Key_VolumeUp = None Key_W = None Key_WLAN = None Key_WWW = None Key_WakeUp = None Key_WebCam = None Key_Word = None Key_X = None Key_Xfer = None Key_Y = None Key_Yacute = None Key_Yellow = None Key_Yes = None Key_Z = None Key_Zenkaku = None Key_Zenkaku_Hankaku = None Key_Zoom = None Key_ZoomIn = None Key_ZoomOut = None Key_acute = None Key_brokenbar = None Key_cedilla = None Key_cent = None Key_copyright = None Key_currency = None Key_degree = None Key_diaeresis = None Key_division = None Key_exclamdown = None Key_guillemotleft = None Key_guillemotright = None Key_hyphen = None Key_iTouch = None Key_macron = None Key_masculine = None Key_mu = None Key_multiply = None Key_nobreakspace = None Key_notsign = None Key_onehalf = None Key_onequarter = None Key_onesuperior = None Key_ordfeminine = None Key_paragraph = None Key_periodcentered = None Key_plusminus = None Key_questiondown = None Key_registered = None Key_section = None Key_ssharp = None Key_sterling = None Key_threequarters = None Key_threesuperior = None Key_twosuperior = None Key_unknown = None Key_ydiaeresis = None Key_yen = None KeyboardModifier = None KeyboardModifierMask = None KeyboardModifiers = None KeypadModifier = None LandscapeOrientation = None LastCursor = None LastGestureType = None LayoutDirection = None LayoutDirectionAuto = None LeftArrow = None LeftButton = None LeftDockWidgetArea = None LeftEdge = None LeftSection = None LeftToRight = None LeftToolBarArea = None LinearGradientPattern = None LinkAction = None LinksAccessibleByKeyboard = None LinksAccessibleByMouse = None LocalDate = None LocalTime = None LocaleDate = None LogicalCoordinates = None LogicalMoveStyle = None LowEventPriority = None META = None MODIFIER_MASK = None MPenCapStyle = None MPenJoinStyle = None MPenStyle = None MSWindowsFixedSizeDialogHint = None MSWindowsOwnDC = None MacWindowToolBarButtonHint = None MaskInColor = None MaskMode = None MaskOutColor = None MatchCaseSensitive = None MatchContains = None MatchEndsWith = None MatchExactly = None MatchFixedString = None MatchFlag = None MatchFlags = None MatchRecursive = None MatchRegExp = None MatchStartsWith = None MatchWildcard = None MatchWrap = None MaxMouseButton = None MaximizeUsingFullscreenGeometryHint = None MaximumSize = None MenuBarFocusReason = None MetaModifier = None MidButton = None MiddleButton = None MinimumDescent = None MinimumSize = None MiterJoin = None Modifier = None Monday = None MonoOnly = None MouseButton = None MouseButtonMask = None MouseButtons = None MouseEventCreatedDoubleClick = None MouseEventFlag = None MouseEventFlagMask = None MouseEventFlags = None MouseEventNotSynthesized = None MouseEventSource = None MouseEventSynthesizedByApplication = None MouseEventSynthesizedByQt = None MouseEventSynthesizedBySystem = None MouseFocusReason = None MoveAction = None NDockWidgetAreas = None NSizeHints = None NToolBarAreas = None NativeGestureType = None NavigationMode = None NavigationModeCursorAuto = None NavigationModeCursorForceVisible = None NavigationModeKeypadDirectional = None NavigationModeKeypadTabOrder = None NavigationModeNone = None NoAlpha = None NoArrow = None NoBrush = None NoButton = None NoClip = None NoContextMenu = None NoDockWidgetArea = None NoDropShadowWindowHint = None NoFocus = None NoFocusReason = None NoFormatConversion = None NoGesture = None NoItemFlags = None NoModifier = None NoOpaqueDetection = None NoPen = None NoSection = None NoTabFocus = None NoTextInteraction = None NoToolBarArea = None NonModal = None NormalEventPriority = None OddEvenFill = None OffsetFromUTC = None OpaqueMode = None OpenHandCursor = None OrderedAlphaDither = None OrderedDither = None Orientation = None Orientations = None OtherFocusReason = None PanGesture = None PanNativeGesture = None PartiallyChecked = None PenCapStyle = None PenJoinStyle = None PenStyle = None PinchGesture = None PlainText = None PointingHandCursor = None Popup = None PopupFocusReason = None PortraitOrientation = None PreciseTimer = None PreferDither = None PreferredSize = None PreventContextMenu = None PrimaryOrientation = None QueuedConnection = None RFC2822Date = None RadialGradientPattern = None ReceivePartialGestures = None RelativeSize = None RepeatTile = None ReplaceClip = None ReplaceSelection = None RichText = None RightArrow = None RightButton = None RightDockWidgetArea = None RightEdge = None RightSection = None RightToLeft = None RightToolBarArea = None RotateNativeGesture = None RoundCap = None RoundJoin = None RoundTile = None SHIFT = None Saturday = None ScreenOrientation = None ScreenOrientations = None ScrollBarAlwaysOff = None ScrollBarAlwaysOn = None ScrollBarAsNeeded = None ScrollBarPolicy = None ScrollBegin = None ScrollEnd = None ScrollPhase = None ScrollUpdate = None Sheet = None ShiftModifier = None ShortcutContext = None ShortcutFocusReason = None SizeAllCursor = None SizeBDiagCursor = None SizeFDiagCursor = None SizeHint = None SizeHintRole = None SizeHorCursor = None SizeMode = None SizeVerCursor = None SmartZoomNativeGesture = None SmoothTransformation = None SolidLine = None SolidPattern = None SortOrder = None SplashScreen = None SplitHCursor = None SplitVCursor = None SquareCap = None StatusTipPropertyRole = None StatusTipRole = None StretchTile = None StrongFocus = None SubWindow = None Sunday = None SvgMiterJoin = None SwipeGesture = None SwipeNativeGesture = None SystemLocaleDate = None SystemLocaleLongDate = None SystemLocaleShortDate = None TabFocus = None TabFocusAllControls = None TabFocusBehavior = None TabFocusListControls = None TabFocusReason = None TabFocusTextControls = None TapAndHoldGesture = None TapGesture = None TargetMoveAction = None TaskButton = None TextAlignmentRole = None TextBrowserInteraction = None TextBypassShaping = None TextColorRole = None TextDate = None TextDontClip = None TextDontPrint = None TextEditable = None TextEditorInteraction = None TextElideMode = None TextExpandTabs = None TextFlag = None TextForceLeftToRight = None TextForceRightToLeft = None TextFormat = None TextHideMnemonic = None TextIncludeTrailingSpaces = None TextInteractionFlag = None TextInteractionFlags = None TextJustificationForced = None TextLongestVariant = None TextSelectableByKeyboard = None TextSelectableByMouse = None TextShowMnemonic = None TextSingleLine = None TextWordWrap = None TextWrapAnywhere = None TexturePattern = None ThresholdAlphaDither = None ThresholdDither = None Thursday = None TileRule = None TimeSpec = None TimeZone = None TimerType = None TitleBarArea = None Tool = None ToolBarArea = None ToolBarAreaSizes = None ToolBarArea_Mask = None ToolBarAreas = None ToolButtonFollowStyle = None ToolButtonIconOnly = None ToolButtonStyle = None ToolButtonTextBesideIcon = None ToolButtonTextOnly = None ToolButtonTextUnderIcon = None ToolTip = None ToolTipPropertyRole = None ToolTipRole = None TopDockWidgetArea = None TopEdge = None TopLeftCorner = None TopLeftSection = None TopRightCorner = None TopRightSection = None TopSection = None TopToolBarArea = None TouchPointMoved = None TouchPointPressed = None TouchPointReleased = None TouchPointState = None TouchPointStationary = None TransformationMode = None TransparentMode = None Tuesday = None UIEffect = None UI_AnimateCombo = None UI_AnimateMenu = None UI_AnimateToolBox = None UI_AnimateTooltip = None UI_FadeMenu = None UI_FadeTooltip = None UI_General = None UNICODE_ACCEL = None UTC = None Unchecked = None UniqueConnection = None UpArrow = None UpArrowCursor = None UserRole = None VerPattern = None Vertical = None VeryCoarseTimer = None VisualMoveStyle = None WA_AcceptDrops = None WA_AcceptTouchEvents = None WA_AlwaysShowToolTips = None WA_AlwaysStackOnTop = None WA_AttributeCount = None WA_CanHostQMdiSubWindowTitleBar = None WA_ContentsPropagated = None WA_CustomWhatsThis = None WA_DeleteOnClose = None WA_Disabled = None WA_DontCreateNativeAncestors = None WA_DontShowOnScreen = None WA_DropSiteRegistered = None WA_ForceAcceptDrops = None WA_ForceDisabled = None WA_ForceUpdatesDisabled = None WA_GrabbedShortcut = None WA_GroupLeader = None WA_Hover = None WA_InputMethodEnabled = None WA_InputMethodTransparent = None WA_InvalidSize = None WA_KeyCompression = None WA_KeyboardFocusChange = None WA_LaidOut = None WA_LayoutOnEntireRect = None WA_LayoutUsesWidgetRect = None WA_MSWindowsUseDirect3D = None WA_MacAlwaysShowToolWindow = None WA_MacBrushedMetal = None WA_MacFrameworkScaled = None WA_MacMetalStyle = None WA_MacMiniSize = None WA_MacNoClickThrough = None WA_MacNoShadow = None WA_MacNormalSize = None WA_MacOpaqueSizeGrip = None WA_MacShowFocusRect = None WA_MacSmallSize = None WA_MacVariableSize = None WA_Mapped = None WA_MouseNoMask = None WA_MouseTracking = None WA_Moved = None WA_NativeWindow = None WA_NoBackground = None WA_NoChildEventsForParent = None WA_NoChildEventsFromChildren = None WA_NoMousePropagation = None WA_NoMouseReplay = None WA_NoSystemBackground = None WA_NoX11EventCompression = None WA_OpaquePaintEvent = None WA_OutsideWSRange = None WA_PaintOnScreen = None WA_PaintUnclipped = None WA_PendingMoveEvent = None WA_PendingResizeEvent = None WA_PendingUpdate = None WA_QuitOnClose = None WA_Resized = None WA_RightToLeft = None WA_SetCursor = None WA_SetFont = None WA_SetLayoutDirection = None WA_SetLocale = None WA_SetPalette = None WA_SetStyle = None WA_SetWindowIcon = None WA_SetWindowModality = None WA_ShowModal = None WA_ShowWithoutActivating = None WA_StaticContents = None WA_StyleSheet = None WA_StyledBackground = None WA_TintedBackground = None WA_TouchPadAcceptSingleTouchEvents = None WA_TranslucentBackground = None WA_TransparentForMouseEvents = None WA_UnderMouse = None WA_UpdatesDisabled = None WA_WState_AcceptedTouchBeginEvent = None WA_WState_CompressKeys = None WA_WState_ConfigPending = None WA_WState_Created = None WA_WState_DND = None WA_WState_ExplicitShowHide = None WA_WState_Hidden = None WA_WState_InPaintEvent = None WA_WState_OwnSizePolicy = None WA_WState_Polished = None WA_WState_Reparented = None WA_WState_Visible = None WA_WState_WindowOpacitySet = None WA_WindowModified = None WA_WindowPropagation = None WA_X11BypassTransientForHint = None WA_X11DoNotAcceptFocus = None WA_X11NetWmWindowTypeCombo = None WA_X11NetWmWindowTypeDND = None WA_X11NetWmWindowTypeDesktop = None WA_X11NetWmWindowTypeDialog = None WA_X11NetWmWindowTypeDock = None WA_X11NetWmWindowTypeDropDownMenu = None WA_X11NetWmWindowTypeMenu = None WA_X11NetWmWindowTypeNotification = None WA_X11NetWmWindowTypePopupMenu = None WA_X11NetWmWindowTypeSplash = None WA_X11NetWmWindowTypeToolBar = None WA_X11NetWmWindowTypeToolTip = None WA_X11NetWmWindowTypeUtility = None WA_X11OpenGLOverlay = None WaitCursor = None Wednesday = None WhatsThisCursor = None WhatsThisPropertyRole = None WhatsThisRole = None WheelFocus = None WhiteSpaceMode = None WhiteSpaceModeUndefined = None WhiteSpaceNoWrap = None WhiteSpaceNormal = None WhiteSpacePre = None Widget = None WidgetAttribute = None WidgetShortcut = None WidgetWithChildrenShortcut = None WindingFill = None Window = None WindowActive = None WindowCancelButtonHint = None WindowCloseButtonHint = None WindowContextHelpButtonHint = None WindowDoesNotAcceptFocus = None WindowFlags = None WindowFrameSection = None WindowFullScreen = None WindowFullscreenButtonHint = None WindowMaximizeButtonHint = None WindowMaximized = None WindowMinMaxButtonsHint = None WindowMinimizeButtonHint = None WindowMinimized = None WindowModal = None WindowModality = None WindowNoState = None WindowOkButtonHint = None WindowOverridesSystemGestures = None WindowShadeButtonHint = None WindowShortcut = None WindowState = None WindowStates = None WindowStaysOnBottomHint = None WindowStaysOnTopHint = None WindowSystemMenuHint = None WindowTitleHint = None WindowTransparentForInput = None WindowType = None WindowType_Mask = None X11BypassWindowManagerHint = None XAxis = None XButton1 = None XButton2 = None YAxis = None ZAxis = None ZoomNativeGesture = None black = None blue = None color0 = None color1 = None cyan = None darkBlue = None darkCyan = None darkGray = None darkGreen = None darkMagenta = None darkRed = None darkYellow = None gray = None green = None lightGray = None magenta = None red = None transparent = None white = None yellow = None class QDate(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getattribute__(args, *kwargs): """ x.__getattribute__('name') <==> x.name """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def addDays(args, *kwargs): pass def addMonths(args, *kwargs): pass def addYears(args, *kwargs): pass def day(args, *kwargs): pass def dayOfWeek(args, *kwargs): pass def dayOfYear(args, *kwargs): pass def daysInMonth(args, *kwargs): pass def daysInYear(args, *kwargs): pass def daysTo(args, *kwargs): pass def getDate(args, *kwargs): pass def isNull(args, *kwargs): pass def month(args, *kwargs): pass def setDate(args, *kwargs): pass def toJulianDay(args, *kwargs): pass def toPython(args, *kwargs): pass def toString(args, *kwargs): pass def weekNumber(args, *kwargs): pass def year(args, *kwargs): pass def currentDate(args, *kwargs): pass def fromJulianDay(args, *kwargs): pass def fromString(args, *kwargs): pass def isLeapYear(args, *kwargs): pass def isValid(args, *kwargs): pass def longDayName(args, *kwargs): pass def longMonthName(args, *kwargs): pass def shortDayName(args, *kwargs): pass def shortMonthName(args, *kwargs): pass DateFormat = None MonthNameType = None StandaloneFormat = None __new__ = None class QProcessEnvironment(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def clear(args, *kwargs): pass def contains(args, *kwargs): pass def insert(args, *kwargs): pass def isEmpty(args, *kwargs): pass def keys(args, *kwargs): pass def remove(args, *kwargs): pass def swap(args, *kwargs): pass def toStringList(args, *kwargs): pass def value(args, *kwargs): pass def systemEnvironment(args, *kwargs): pass __new__ = None class QLine(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def dx(args, *kwargs): pass def dy(args, *kwargs): pass def isNull(args, *kwargs): pass def p1(args, *kwargs): pass def p2(args, *kwargs): pass def setLine(args, *kwargs): pass def setP1(args, *kwargs): pass def setP2(args, *kwargs): pass def setPoints(args, *kwargs): pass def toTuple(args, *kwargs): pass def translate(args, *kwargs): pass def translated(args, *kwargs): pass def x1(args, *kwargs): pass def x2(args, *kwargs): pass def y1(args, *kwargs): pass def y2(args, *kwargs): pass __new__ = None class QMetaClassInfo(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def name(args, *kwargs): pass def value(args, *kwargs): pass __new__ = None class QXmlStreamNamespaceDeclaration(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def namespaceUri(args, *kwargs): pass def prefix(args, *kwargs): pass __new__ = None class QByteArrayMatcher(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def indexIn(args, *kwargs): pass def pattern(args, *kwargs): pass def setPattern(args, *kwargs): pass __new__ = None class QBasicMutex(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def isRecursive(args, *kwargs): pass def lock(args, *kwargs): pass def tryLock(args, *kwargs): pass def unlock(args, *kwargs): pass __new__ = None class QRectF(_Object): def __and__(args, *kwargs): """ x.__and__(y) <==> x&y """ pass def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iand__(args, *kwargs): """ x.__iand__(y) <==> x&=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __ior__(args, *kwargs): """ x.__ior__(y) <==> x\|=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __or__(args, *kwargs): """ x.__or__(y) <==> x\|y """ pass def __rand__(args, *kwargs): """ x.__rand__(y) <==> y&x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __ror__(args, *kwargs): """ x.__ror__(y) <==> y\|x """ pass def adjust(args, *kwargs): pass def adjusted(args, *kwargs): pass def bottom(args, *kwargs): pass def bottomLeft(args, *kwargs): pass def bottomRight(args, *kwargs): pass def center(args, *kwargs): pass def contains(args, *kwargs): pass def getCoords(args, *kwargs): pass def getRect(args, *kwargs): pass def height(args, *kwargs): pass def intersected(args, *kwargs): pass def intersects(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isValid(args, *kwargs): pass def left(args, *kwargs): pass def moveBottom(args, *kwargs): pass def moveBottomLeft(args, *kwargs): pass def moveBottomRight(args, *kwargs): pass def moveCenter(args, *kwargs): pass def moveLeft(args, *kwargs): pass def moveRight(args, *kwargs): pass def moveTo(args, *kwargs): pass def moveTop(args, *kwargs): pass def moveTopLeft(args, *kwargs): pass def moveTopRight(args, *kwargs): pass def normalized(args, *kwargs): pass def right(args, *kwargs): pass def setBottom(args, *kwargs): pass def setBottomLeft(args, *kwargs): pass def setBottomRight(args, *kwargs): pass def setCoords(args, *kwargs): pass def setHeight(args, *kwargs): pass def setLeft(args, *kwargs): pass def setRect(args, *kwargs): pass def setRight(args, *kwargs): pass def setSize(args, *kwargs): pass def setTop(args, *kwargs): pass def setTopLeft(args, *kwargs): pass def setTopRight(args, *kwargs): pass def setWidth(args, *kwargs): pass def setX(args, *kwargs): pass def setY(args, *kwargs): pass def size(args, *kwargs): pass def toAlignedRect(args, *kwargs): pass def toRect(args, *kwargs): pass def top(args, *kwargs): pass def topLeft(args, *kwargs): pass def topRight(args, *kwargs): pass def translate(args, *kwargs): pass def translated(args, *kwargs): pass def united(args, *kwargs): pass def width(args, *kwargs): pass def x(args, *kwargs): pass def y(args, *kwargs): pass __new__ = None class QSystemSemaphore(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def acquire(args, *kwargs): pass def error(args, *kwargs): pass def errorString(args, *kwargs): pass def key(args, *kwargs): pass def release(args, *kwargs): pass def setKey(args, *kwargs): pass AccessMode = None AlreadyExists = None Create = None KeyError = None NoError = None NotFound = None Open = None OutOfResources = None PermissionDenied = None SystemSemaphoreError = None UnknownError = None __new__ = None class QWaitCondition(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def wait(args, *kwargs): pass def wakeAll(args, *kwargs): pass def wakeOne(args, *kwargs): pass __new__ = None class QMetaEnum(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def isFlag(args, *kwargs): pass def isValid(args, *kwargs): pass def key(args, *kwargs): pass def keyCount(args, *kwargs): pass def keyToValue(args, *kwargs): pass def keysToValue(args, *kwargs): pass def name(args, *kwargs): pass def scope(args, *kwargs): pass def value(args, *kwargs): pass def valueToKey(args, *kwargs): pass def valueToKeys(args, *kwargs): pass __new__ = None class QBasicTimer(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def isActive(args, *kwargs): pass def start(args, *kwargs): pass def stop(args, *kwargs): pass def timerId(args, *kwargs): pass __new__ = None class QEasingCurve(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def addCubicBezierSegment(args, *kwargs): pass def addTCBSegment(args, *kwargs): pass def amplitude(args, *kwargs): pass def customType(args, *kwargs): pass def overshoot(args, *kwargs): pass def period(args, *kwargs): pass def setAmplitude(args, *kwargs): pass def setCustomType(args, *kwargs): pass def setOvershoot(args, *kwargs): pass def setPeriod(args, *kwargs): pass def setType(args, *kwargs): pass def swap(args, *kwargs): pass def toCubicSpline(args, *kwargs): pass def type(args, *kwargs): pass def valueForProgress(args, *kwargs): pass BezierSpline = None CosineCurve = None Custom = None InBack = None InBounce = None InCirc = None InCubic = None InCurve = None InElastic = None InExpo = None InOutBack = None InOutBounce = None InOutCirc = None InOutCubic = None InOutElastic = None InOutExpo = None InOutQuad = None InOutQuart = None InOutQuint = None InOutSine = None InQuad = None InQuart = None InQuint = None InSine = None Linear = None NCurveTypes = None OutBack = None OutBounce = None OutCirc = None OutCubic = None OutCurve = None OutElastic = None OutExpo = None OutInBack = None OutInBounce = None OutInCirc = None OutInCubic = None OutInElastic = None OutInExpo = None OutInQuad = None OutInQuart = None OutInQuint = None OutInSine = None OutQuad = None OutQuart = None OutQuint = None OutSine = None SineCurve = None TCBSpline = None Type = None __new__ = None class QTextStream(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __lshift__(args, *kwargs): """ x.__lshift__(y) <==> x<<y """ pass def __rlshift__(args, *kwargs): """ x.__rlshift__(y) <==> y<<x """ pass def __rrshift__(args, *kwargs): """ x.__rrshift__(y) <==> y>>x """ pass def __rshift__(args, *kwargs): """ x.__rshift__(y) <==> x>>y """ pass def atEnd(args, *kwargs): pass def autoDetectUnicode(args, *kwargs): pass def codec(args, *kwargs): pass def device(args, *kwargs): pass def fieldAlignment(args, *kwargs): pass def fieldWidth(args, *kwargs): pass def flush(args, *kwargs): pass def generateByteOrderMark(args, *kwargs): pass def integerBase(args, *kwargs): pass def locale(args, *kwargs): pass def numberFlags(args, *kwargs): pass def padChar(args, *kwargs): pass def pos(args, *kwargs): pass def read(args, *kwargs): pass def readAll(args, *kwargs): pass def readLine(args, *kwargs): pass def realNumberNotation(args, *kwargs): pass def realNumberPrecision(args, *kwargs): pass def reset(args, *kwargs): pass def resetStatus(args, *kwargs): pass def seek(args, *kwargs): pass def setAutoDetectUnicode(args, *kwargs): pass def setCodec(args, *kwargs): pass def setDevice(args, *kwargs): pass def setFieldAlignment(args, *kwargs): pass def setFieldWidth(args, *kwargs): pass def setGenerateByteOrderMark(args, *kwargs): pass def setIntegerBase(args, *kwargs): pass def setLocale(args, *kwargs): pass def setNumberFlags(args, *kwargs): pass def setPadChar(args, *kwargs): pass def setRealNumberNotation(args, *kwargs): pass def setRealNumberPrecision(args, *kwargs): pass def setStatus(args, *kwargs): pass def skipWhiteSpace(args, *kwargs): pass def status(args, *kwargs): pass def string(args, *kwargs): pass AlignAccountingStyle = None AlignCenter = None AlignLeft = None AlignRight = None FieldAlignment = None FixedNotation = None ForcePoint = None ForceSign = None NumberFlag = None NumberFlags = None Ok = None ReadCorruptData = None ReadPastEnd = None RealNumberNotation = None ScientificNotation = None ShowBase = None SmartNotation = None Status = None UppercaseBase = None UppercaseDigits = None WriteFailed = None __new__ = None class QLineF(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def angle(args, *kwargs): pass def angleTo(args, *kwargs): pass def dx(args, *kwargs): pass def dy(args, *kwargs): pass def intersect(args, *kwargs): pass def isNull(args, *kwargs): pass def length(args, *kwargs): pass def normalVector(args, *kwargs): pass def p1(args, *kwargs): pass def p2(args, *kwargs): pass def pointAt(args, *kwargs): pass def setAngle(args, *kwargs): pass def setLength(args, *kwargs): pass def setLine(args, *kwargs): pass def setP1(args, *kwargs): pass def setP2(args, *kwargs): pass def setPoints(args, *kwargs): pass def toLine(args, *kwargs): pass def toTuple(args, *kwargs): pass def translate(args, *kwargs): pass def translated(args, *kwargs): pass def unitVector(args, *kwargs): pass def x1(args, *kwargs): pass def x2(args, *kwargs): pass def y1(args, *kwargs): pass def y2(args, *kwargs): pass def fromPolar(args, *kwargs): pass BoundedIntersection = None IntersectType = None NoIntersection = None UnboundedIntersection = None __new__ = None class QWriteLocker(_Object): def __enter__(args, *kwargs): pass def __exit__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def readWriteLock(args, *kwargs): pass def relock(args, *kwargs): pass def unlock(args, *kwargs): pass __new__ = None class QDateTime(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def addDays(args, *kwargs): pass def addMSecs(args, *kwargs): pass def addMonths(args, *kwargs): pass def addSecs(args, *kwargs): pass def addYears(args, *kwargs): pass def date(args, *kwargs): pass def daysTo(args, *kwargs): pass def isDaylightTime(args, *kwargs): pass def isNull(args, *kwargs): pass def isValid(args, *kwargs): pass def msecsTo(args, *kwargs): pass def offsetFromUtc(args, *kwargs): pass def secsTo(args, *kwargs): pass def setDate(args, *kwargs): pass def setMSecsSinceEpoch(args, *kwargs): pass def setOffsetFromUtc(args, *kwargs): pass def setTime(args, *kwargs): pass def setTimeSpec(args, *kwargs): pass def setTime_t(args, *kwargs): pass def setUtcOffset(args, *kwargs): pass def swap(args, *kwargs): pass def time(args, *kwargs): pass def timeSpec(args, *kwargs): pass def timeZoneAbbreviation(args, *kwargs): pass def toLocalTime(args, *kwargs): pass def toMSecsSinceEpoch(args, *kwargs): pass def toOffsetFromUtc(args, *kwargs): pass def toPython(args, *kwargs): pass def toString(args, *kwargs): pass def toTimeSpec(args, *kwargs): pass def toTime_t(args, *kwargs): pass def toUTC(args, *kwargs): pass def utcOffset(args, *kwargs): pass def currentDateTime(args, *kwargs): pass def currentDateTimeUtc(args, *kwargs): pass def currentMSecsSinceEpoch(args, *kwargs): pass def fromMSecsSinceEpoch(args, *kwargs): pass def fromString(args, *kwargs): pass def fromTime_t(args, *kwargs): pass __new__ = None class QReadLocker(_Object): def __enter__(args, *kwargs): pass def __exit__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def readWriteLock(args, *kwargs): pass def relock(args, *kwargs): pass def unlock(args, *kwargs): pass __new__ = None class QRegExp(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def cap(args, *kwargs): pass def captureCount(args, *kwargs): pass def capturedTexts(args, *kwargs): pass def caseSensitivity(args, *kwargs): pass def errorString(args, *kwargs): pass def exactMatch(args, *kwargs): pass def indexIn(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isMinimal(args, *kwargs): pass def isValid(args, *kwargs): pass def lastIndexIn(args, *kwargs): pass def matchedLength(args, *kwargs): pass def pattern(args, *kwargs): pass def patternSyntax(args, *kwargs): pass def pos(args, *kwargs): pass def replace(args, *kwargs): pass def setCaseSensitivity(args, *kwargs): pass def setMinimal(args, *kwargs): pass def setPattern(args, *kwargs): pass def setPatternSyntax(args, *kwargs): pass def swap(args, *kwargs): pass def escape(args, *kwargs): pass CaretAtOffset = None CaretAtZero = None CaretMode = None CaretWontMatch = None FixedString = None PatternSyntax = None RegExp = None RegExp2 = None W3CXmlSchema11 = None Wildcard = None WildcardUnix = None __new__ = None class QItemSelection(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __delitem__(args, *kwargs): """ x.__delitem__(y) <==> del x[y] """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getitem__(args, *kwargs): """ x.__getitem__(y) <==> x[y] """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __len__(args, *kwargs): """ x.__len__() <==> len(x) """ pass def __lshift__(args, *kwargs): """ x.__lshift__(y) <==> x<<y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rlshift__(args, *kwargs): """ x.__rlshift__(y) <==> y<<x """ pass def __setitem__(args, *kwargs): """ x.__setitem__(i, y) <==> x[i]=y """ pass def append(args, *kwargs): pass def at(args, *kwargs): pass def back(args, *kwargs): pass def clear(args, *kwargs): pass def constFirst(args, *kwargs): pass def constLast(args, *kwargs): pass def contains(args, *kwargs): pass def count(args, *kwargs): pass def detachShared(args, *kwargs): pass def empty(args, *kwargs): pass def endsWith(args, *kwargs): pass def first(args, *kwargs): pass def front(args, *kwargs): pass def indexOf(args, *kwargs): pass def indexes(args, *kwargs): pass def insert(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isSharedWith(args, *kwargs): pass def last(args, *kwargs): pass def lastIndexOf(args, *kwargs): pass def length(args, *kwargs): pass def merge(args, *kwargs): pass def mid(args, *kwargs): pass def move(args, *kwargs): pass def pop_back(args, *kwargs): pass def pop_front(args, *kwargs): pass def prepend(args, *kwargs): pass def push_back(args, *kwargs): pass def push_front(args, *kwargs): pass def removeAll(args, *kwargs): pass def removeAt(args, *kwargs): pass def removeFirst(args, *kwargs): pass def removeLast(args, *kwargs): pass def removeOne(args, *kwargs): pass def replace(args, *kwargs): pass def reserve(args, *kwargs): pass def select(args, *kwargs): pass def setSharable(args, *kwargs): pass def size(args, *kwargs): pass def startsWith(args, *kwargs): pass def swap(args, *kwargs): pass def takeAt(args, *kwargs): pass def takeFirst(args, *kwargs): pass def takeLast(args, *kwargs): pass def toSet(args, *kwargs): pass def toVector(args, *kwargs): pass def value(args, *kwargs): pass def fromSet(args, *kwargs): pass def fromVector(args, *kwargs): pass def split(args, *kwargs): pass __new__ = None class QTextBoundaryFinder(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def boundaryReasons(args, *kwargs): pass def isAtBoundary(args, *kwargs): pass def isValid(args, *kwargs): pass def position(args, *kwargs): pass def setPosition(args, *kwargs): pass def string(args, *kwargs): pass def toEnd(args, *kwargs): pass def toNextBoundary(args, *kwargs): pass def toPreviousBoundary(args, *kwargs): pass def toStart(args, *kwargs): pass def type(args, *kwargs): pass BoundaryReason = None BoundaryReasons = None BoundaryType = None BreakOpportunity = None EndOfItem = None Grapheme = None Line = None MandatoryBreak = None NotAtBoundary = None Sentence = None SoftHyphen = None StartOfItem = None Word = None __new__ = None class QModelIndex(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def child(args, *kwargs): pass def column(args, *kwargs): pass def data(args, *kwargs): pass def flags(args, *kwargs): pass def internalId(args, *kwargs): pass def internalPointer(args, *kwargs): pass def isValid(args, *kwargs): pass def model(args, *kwargs): pass def parent(args, *kwargs): pass def row(args, *kwargs): pass def sibling(args, *kwargs): pass __new__ = None class QElapsedTimer(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def elapsed(args, *kwargs): pass def hasExpired(args, *kwargs): pass def invalidate(args, *kwargs): pass def isValid(args, *kwargs): pass def msecsSinceReference(args, *kwargs): pass def msecsTo(args, *kwargs): pass def nsecsElapsed(args, *kwargs): pass def restart(args, *kwargs): pass def secsTo(args, *kwargs): pass def start(args, *kwargs): pass def clockType(args, *kwargs): pass def isMonotonic(args, *kwargs): pass ClockType = None MachAbsoluteTime = None MonotonicClock = None PerformanceCounter = None SystemTime = None TickCounter = None __new__ = None class QTextStreamManipulator(_Object): def __copy__(args, *kwargs): pass def exec_(args, *kwargs): pass class QFileInfo(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getattribute__(args, *kwargs): """ x.__getattribute__('name') <==> x.name """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __reduce__(args, *kwargs): pass def absoluteDir(args, *kwargs): pass def absoluteFilePath(args, *kwargs): pass def absolutePath(args, *kwargs): pass def baseName(args, *kwargs): pass def bundleName(args, *kwargs): pass def caching(args, *kwargs): pass def canonicalFilePath(args, *kwargs): pass def canonicalPath(args, *kwargs): pass def completeBaseName(args, *kwargs): pass def completeSuffix(args, *kwargs): pass def created(args, *kwargs): pass def dir(args, *kwargs): pass def fileName(args, *kwargs): pass def filePath(args, *kwargs): pass def group(args, *kwargs): pass def groupId(args, *kwargs): pass def isAbsolute(args, *kwargs): pass def isBundle(args, *kwargs): pass def isDir(args, *kwargs): pass def isExecutable(args, *kwargs): pass def isFile(args, *kwargs): pass def isHidden(args, *kwargs): pass def isNativePath(args, *kwargs): pass def isReadable(args, *kwargs): pass def isRelative(args, *kwargs): pass def isRoot(args, *kwargs): pass def isSymLink(args, *kwargs): pass def isWritable(args, *kwargs): pass def lastModified(args, *kwargs): pass def lastRead(args, *kwargs): pass def makeAbsolute(args, *kwargs): pass def owner(args, *kwargs): pass def ownerId(args, *kwargs): pass def path(args, *kwargs): pass def readLink(args, *kwargs): pass def refresh(args, *kwargs): pass def setCaching(args, *kwargs): pass def setFile(args, *kwargs): pass def size(args, *kwargs): pass def suffix(args, *kwargs): pass def swap(args, *kwargs): pass def symLinkTarget(args, *kwargs): pass def exists(args, *kwargs): pass __new__ = None class QBitArray(_Object): def __and__(args, *kwargs): """ x.__and__(y) <==> x&y """ pass def __copy__(args, *kwargs): pass def __delitem__(args, *kwargs): """ x.__delitem__(y) <==> del x[y] """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getitem__(args, *kwargs): """ x.__getitem__(y) <==> x[y] """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __iand__(args, *kwargs): """ x.__iand__(y) <==> x&=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __invert__(args, *kwargs): """ x.__invert__() <==> ~x """ pass def __ior__(args, *kwargs): """ x.__ior__(y) <==> x\|=y """ pass def __ixor__(args, *kwargs): """ x.__ixor__(y) <==> x^=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __len__(args, *kwargs): """ x.__len__() <==> len(x) """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __or__(args, *kwargs): """ x.__or__(y) <==> x\|y """ pass def __rand__(args, *kwargs): """ x.__rand__(y) <==> y&x """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __ror__(args, *kwargs): """ x.__ror__(y) <==> y\|x """ pass def __rxor__(args, *kwargs): """ x.__rxor__(y) <==> y^x """ pass def __setitem__(args, *kwargs): """ x.__setitem__(i, y) <==> x[i]=y """ pass def __xor__(args, *kwargs): """ x.__xor__(y) <==> x^y """ pass def at(args, *kwargs): pass def clear(args, *kwargs): pass def clearBit(args, *kwargs): pass def count(args, *kwargs): pass def fill(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def resize(args, *kwargs): pass def setBit(args, *kwargs): pass def size(args, *kwargs): pass def swap(args, *kwargs): pass def testBit(args, *kwargs): pass def toggleBit(args, *kwargs): pass def truncate(args, *kwargs): pass __new__ = None class QMetaMethod(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def access(args, *kwargs): pass def enclosingMetaObject(args, *kwargs): pass def invoke(args, *kwargs): pass def invokeOnGadget(args, *kwargs): pass def isValid(args, *kwargs): pass def methodIndex(args, *kwargs): pass def methodSignature(args, *kwargs): pass def methodType(args, *kwargs): pass def name(args, *kwargs): pass def parameterCount(args, *kwargs): pass def parameterNames(args, *kwargs): pass def parameterType(args, *kwargs): pass def parameterTypes(args, *kwargs): pass def returnType(args, *kwargs): pass def revision(args, *kwargs): pass def tag(args, *kwargs): pass def typeName(args, *kwargs): pass Access = None Constructor = None Method = None MethodType = None Private = None Protected = None Public = None Signal = None Slot = None __new__ = None class QPoint(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __neg__(args, *kwargs): """ x.__neg__() <==> -x """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __pos__(args, *kwargs): """ x.__pos__() <==> +x """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __rsub__(args, kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(args, *kwargs): """ x.__rtruediv__(y) <==> y/x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __truediv__(args, *kwargs): """ x.__truediv__(y) <==> x/y """ pass def isNull(args, *kwargs): pass def manhattanLength(args, *kwargs): pass def setX(args, *kwargs): pass def setY(args, *kwargs): pass def toTuple(args, *kwargs): pass def x(args, *kwargs): pass def y(args, *kwargs): pass def dotProduct(args, *kwargs): pass __new__ = None class QLocale(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def amText(args, *kwargs): pass def bcp47Name(args, *kwargs): pass def country(args, *kwargs): pass def createSeparatedList(args, *kwargs): pass def currencySymbol(args, *kwargs): pass def dateFormat(args, *kwargs): pass def dateTimeFormat(args, *kwargs): pass def dayName(args, *kwargs): pass def decimalPoint(args, *kwargs): pass def exponential(args, *kwargs): pass def firstDayOfWeek(args, *kwargs): pass def groupSeparator(args, *kwargs): pass def language(args, *kwargs): pass def measurementSystem(args, *kwargs): pass def monthName(args, *kwargs): pass def name(args, *kwargs): pass def nativeCountryName(args, *kwargs): pass def nativeLanguageName(args, *kwargs): pass def negativeSign(args, *kwargs): pass def numberOptions(args, *kwargs): pass def percent(args, *kwargs): pass def pmText(args, *kwargs): pass def positiveSign(args, *kwargs): pass def quoteString(args, *kwargs): pass def script(args, *kwargs): pass def setNumberOptions(args, *kwargs): pass def standaloneDayName(args, *kwargs): pass def standaloneMonthName(args, *kwargs): pass def textDirection(args, *kwargs): pass def timeFormat(args, *kwargs): pass def toCurrencyString(args, *kwargs): pass def toDate(args, *kwargs): pass def toDateTime(args, *kwargs): pass def toDouble(args, *kwargs): pass def toFloat(args, *kwargs): pass def toInt(args, *kwargs): pass def toLongLong(args, *kwargs): pass def toLower(args, *kwargs): pass def toShort(args, *kwargs): pass def toString(args, *kwargs): pass def toTime(args, *kwargs): pass def toUInt(args, *kwargs): pass def toULongLong(args, *kwargs): pass def toUShort(args, *kwargs): pass def toUpper(args, *kwargs): pass def uiLanguages(args, *kwargs): pass def weekdays(args, *kwargs): pass def zeroDigit(args, *kwargs): pass def c(args, *kwargs): pass def countriesForLanguage(args, *kwargs): pass def countryToString(args, *kwargs): pass def languageToString(args, *kwargs): pass def matchingLocales(args, *kwargs): pass def scriptToString(args, *kwargs): pass def setDefault(args, *kwargs): pass def system(args, *kwargs): pass Abkhazian = None Afan = None Afar = None Afghanistan = None Afrikaans = None Aghem = None Akan = None Akkadian = None Akoose = None AlandIslands = None Albania = None Albanian = None Algeria = None AlternateQuotation = None AmericanSamoa = None Amharic = None AncientEgyptian = None AncientGreek = None AncientNorthArabian = None Andorra = None Angola = None Anguilla = None Antarctica = None AntiguaAndBarbuda = None AnyCountry = None AnyLanguage = None AnyScript = None Arabic = None ArabicScript = None Aragonese = None Aramaic = None Argentina = None Armenia = None Armenian = None ArmenianScript = None Aruba = None AscensionIsland = None Assamese = None Asturian = None Asu = None Atsam = None Australia = None Austria = None Avaric = None Avestan = None AvestanScript = None Aymara = None Azerbaijan = None Azerbaijani = None Bafia = None Bahamas = None Bahrain = None Balinese = None BalineseScript = None Bambara = None BamumScript = None Bamun = None Bangladesh = None Barbados = None Basaa = None Bashkir = None Basque = None Bassa = None BassaVahScript = None BatakScript = None BatakToba = None Belarus = None Belarusian = None Belgium = None Belize = None Bemba = None Bena = None Bengali = None BengaliScript = None Benin = None Bermuda = None Bhutan = None Bhutani = None Bihari = None Bislama = None Blin = None Bodo = None Bolivia = None Bonaire = None BopomofoScript = None BosniaAndHerzegowina = None Bosnian = None Botswana = None BouvetIsland = None BrahmiScript = None BrailleScript = None Brazil = None Breton = None BritishIndianOceanTerritory = None BritishVirginIslands = None Brunei = None Buginese = None BugineseScript = None Buhid = None BuhidScript = None Bulgaria = None Bulgarian = None BurkinaFaso = None Burmese = None Burundi = None Byelorussian = None C = None Cambodia = None Cambodian = None Cameroon = None Canada = None CanadianAboriginalScript = None CanaryIslands = None CapeVerde = None Carian = None CarianScript = None Catalan = None CaucasianAlbanianScript = None CaymanIslands = None CentralAfricanRepublic = None CentralKurdish = None CentralMoroccoTamazight = None CeutaAndMelilla = None Chad = None Chakma = None ChakmaScript = None ChamScript = None Chamorro = None Chechen = None Cherokee = None CherokeeScript = None Chewa = None Chiga = None Chile = None China = None Chinese = None ChristmasIsland = None Church = None Chuvash = None ClassicalMandaic = None ClippertonIsland = None CocosIslands = None Colognian = None Colombia = None Comoros = None CongoBrazzaville = None CongoKinshasa = None CongoSwahili = None CookIslands = None Coptic = None CopticScript = None Cornish = None Corsican = None CostaRica = None Country = None Cree = None Croatia = None Croatian = None Cuba = None CuneiformScript = None CuraSao = None CurrencyDisplayName = None CurrencyIsoCode = None CurrencySymbol = None CurrencySymbolFormat = None CypriotScript = None Cyprus = None CyrillicScript = None Czech = None CzechRepublic = None Danish = None DemocraticRepublicOfCongo = None DemocraticRepublicOfKorea = None Denmark = None DeseretScript = None DevanagariScript = None DiegoGarcia = None Divehi = None Djibouti = None Dogri = None Dominica = None DominicanRepublic = None Duala = None DuployanScript = None Dutch = None Dzongkha = None EastTimor = None EasternCham = None EasternKayah = None Ecuador = None Egypt = None EgyptianHieroglyphsScript = None ElSalvador = None ElbasanScript = None Embu = None English = None EquatorialGuinea = None Eritrea = None Esperanto = None Estonia = None Estonian = None Ethiopia = None EthiopicScript = None Etruscan = None Ewe = None Ewondo = None FalklandIslands = None FaroeIslands = None Faroese = None Fiji = None Fijian = None Filipino = None Finland = None Finnish = None FormatType = None France = None FraserScript = None French = None FrenchGuiana = None FrenchPolynesia = None FrenchSouthernTerritories = None Frisian = None Friulian = None Fulah = None Ga = None Gabon = None Gaelic = None Galician = None Gambia = None Ganda = None Geez = None Georgia = None Georgian = None GeorgianScript = None German = None Germany = None Ghana = None Gibraltar = None GlagoliticScript = None Gothic = None GothicScript = None GranthaScript = None Greece = None Greek = None GreekScript = None Greenland = None Greenlandic = None Grenada = None Guadeloupe = None Guam = None Guarani = None Guatemala = None Guernsey = None Guinea = None GuineaBissau = None Gujarati = None GujaratiScript = None GurmukhiScript = None Gusii = None Guyana = None Haiti = None Haitian = None HanScript = None HangulScript = None Hanunoo = None HanunooScript = None Hausa = None Hawaiian = None HeardAndMcDonaldIslands = None Hebrew = None HebrewScript = None Herero = None Hindi = None HiraganaScript = None HiriMotu = None HmongNjua = None Ho = None Honduras = None HongKong = None Hungarian = None Hungary = None Iceland = None Icelandic = None Igbo = None ImperialAramaicScript = None ImperialSystem = None ImperialUKSystem = None ImperialUSSystem = None InariSami = None India = None Indonesia = None Indonesian = None Ingush = None InscriptionalPahlaviScript = None InscriptionalParthianScript = None Interlingua = None Interlingue = None Inuktitut = None Inupiak = None Iran = None Iraq = None Ireland = None Irish = None IsleOfMan = None Israel = None Italian = None Italy = None IvoryCoast = None Jamaica = None Japan = None Japanese = None JapaneseScript = None Javanese = None JavaneseScript = None Jersey = None Jju = None JolaFonyi = None Jordan = None Kabuverdianu = None Kabyle = None KaithiScript = None Kako = None Kalenjin = None Kamba = None Kannada = None KannadaScript = None Kanuri = None Kashmiri = None KatakanaScript = None KayahLiScript = None Kazakh = None Kazakhstan = None Kenya = None Kenyang = None KharoshthiScript = None Khmer = None KhmerScript = None KhojkiScript = None KhudawadiScript = None Kiche = None Kikuyu = None Kinyarwanda = None Kirghiz = None Kiribati = None Komi = None Kongo = None Konkani = None Korean = None KoreanScript = None Koro = None Kosovo = None KoyraChiini = None KoyraboroSenni = None Kpelle = None Kurdish = None Kurundi = None Kuwait = None Kwanyama = None Kwasio = None Kyrgyzstan = None Lakota = None Langi = None Language = None LannaScript = None Lao = None LaoScript = None Laos = None LargeFloweryMiao = None LastCountry = None LastLanguage = None LastScript = None Latin = None LatinAmericaAndTheCaribbean = None LatinScript = None Latvia = None Latvian = None Lebanon = None Lepcha = None LepchaScript = None Lesotho = None Lezghian = None Liberia = None Libya = None Liechtenstein = None Limbu = None LimbuScript = None Limburgish = None LinearA = None LinearAScript = None LinearBScript = None Lingala = None Lisu = None Lithuania = None Lithuanian = None LongFormat = None LowGerman = None LowerSorbian = None Lu = None LubaKatanga = None LuleSami = None Luo = None Luxembourg = None Luxembourgish = None Luyia = None Lycian = None LycianScript = None Lydian = None LydianScript = None Macau = None Macedonia = None Macedonian = None Machame = None Madagascar = None MahajaniScript = None Maithili = None MakhuwaMeetto = None Makonde = None Malagasy = None Malawi = None Malay = None Malayalam = None MalayalamScript = None Malaysia = None Maldives = None Mali = None Malta = None Maltese = None MandaeanScript = None Mandingo = None ManichaeanMiddlePersian = None ManichaeanScript = None Manipuri = None Manx = None Maori = None Mapuche = None Marathi = None MarshallIslands = None Marshallese = None Martinique = None Masai = None Mauritania = None Mauritius = None Mayotte = None MeasurementSystem = None MeiteiMayekScript = None Mende = None MendeKikakuiScript = None Meroitic = None MeroiticCursiveScript = None MeroiticScript = None Meru = None Meta = None MetricSystem = None Mexico = None Micronesia = None ModiScript = None Mohawk = None Moldavian = None Moldova = None Monaco = None Mongolia = None Mongolian = None MongolianScript = None Mono = None Montenegro = None Montserrat = None Morisyen = None Morocco = None Mozambique = None MroScript = None Mundang = None Myanmar = None MyanmarScript = None NabataeanScript = None Nama = None Namibia = None NarrowFormat = None NauruCountry = None NauruLanguage = None Navaho = None Ndonga = None Nepal = None Nepali = None Netherlands = None NewCaledonia = None NewTaiLueScript = None NewZealand = None Ngiemboon = None Ngomba = None Nicaragua = None Niger = None Nigeria = None Niue = None Nko = None NkoScript = None NorfolkIsland = None NorthKorea = None NorthNdebele = None NorthernMarianaIslands = None NorthernSami = None NorthernSotho = None NorthernThai = None Norway = None Norwegian = None NorwegianBokmal = None NorwegianNynorsk = None Nuer = None NumberOption = None NumberOptions = None Nyanja = None Nyankole = None Occitan = None OghamScript = None Ojibwa = None OlChikiScript = None OldIrish = None OldItalicScript = None OldNorse = None OldNorthArabianScript = None OldPermicScript = None OldPersian = None OldPersianScript = None OldSouthArabianScript = None OldTurkish = None Oman = None OmitGroupSeparator = None Oriya = None OriyaScript = None OrkhonScript = None Oromo = None OsmanyaScript = None Ossetic = None PahawhHmongScript = None Pahlavi = None Pakistan = None Palau = None PalestinianTerritories = None Pali = None PalmyreneScript = None Panama = None PapuaNewGuinea = None Paraguay = None Parthian = None Pashto = None PauCinHauScript = None PeoplesRepublicOfCongo = None Persian = None Peru = None PhagsPaScript = None Philippines = None Phoenician = None PhoenicianScript = None Pitcairn = None Poland = None Polish = None PollardPhoneticScript = None Portugal = None Portuguese = None PrakritLanguage = None Prussian = None PsalterPahlaviScript = None PuertoRico = None Punjabi = None Qatar = None Quechua = None QuotationStyle = None Rejang = None RejangScript = None RejectGroupSeparator = None RepublicOfKorea = None Reunion = None RhaetoRomance = None Romania = None Romanian = None Romansh = None Rombo = None Rundi = None RunicScript = None Russia = None Russian = None RussianFederation = None Rwa = None Rwanda = None Sabaean = None Saho = None SaintBarthelemy = None SaintHelena = None SaintKittsAndNevis = None SaintLucia = None SaintMartin = None SaintPierreAndMiquelon = None SaintVincentAndTheGrenadines = None Sakha = None Samaritan = None SamaritanScript = None Samburu = None Samoa = None Samoan = None SanMarino = None Sango = None Sangu = None Sanskrit = None Santali = None SaoTomeAndPrincipe = None Sardinian = None SaudiArabia = None Saurashtra = None SaurashtraScript = None Script = None Sena = None Senegal = None Serbia = None Serbian = None SerboCroatian = None Seychelles = None Shambala = None SharadaScript = None ShavianScript = None Shona = None ShortFormat = None SichuanYi = None Sidamo = None SiddhamScript = None SierraLeone = None SimplifiedChineseScript = None SimplifiedHanScript = None Sindhi = None Singapore = None Sinhala = None SinhalaScript = None SintMaarten = None SkoltSami = None Slovak = None Slovakia = None Slovenia = None Slovenian = None Soga = None SolomonIslands = None Somali = None Somalia = None Sora = None SoraSompengScript = None SouthAfrica = None SouthGeorgiaAndTheSouthSandwichIslands = None SouthKorea = None SouthNdebele = None SouthSudan = None SouthernSami = None SouthernSotho = None Spain = None Spanish = None SriLanka = None StandardMoroccanTamazight = None StandardQuotation = None Sudan = None Sundanese = None SundaneseScript = None Suriname = None SvalbardAndJanMayenIslands = None Swahili = None Swati = None Swaziland = None Sweden = None Swedish = None SwissGerman = None Switzerland = None Sylheti = None SylotiNagriScript = None Syria = None Syriac = None SyriacScript = None SyrianArabRepublic = None Tachelhit = None Tagalog = None TagalogScript = None Tagbanwa = None TagbanwaScript = None Tahitian = None TaiDam = None TaiLeScript = None TaiNua = None TaiVietScript = None Taita = None Taiwan = None Tajik = None Tajikistan = None TakriScript = None Tamil = None TamilScript = None Tanzania = None Taroko = None Tasawaq = None Tatar = None TedimChin = None Telugu = None TeluguScript = None Teso = None ThaanaScript = None Thai = None ThaiScript = None Thailand = None Tibetan = None TibetanScript = None TifinaghScript = None Tigre = None Tigrinya = None TirhutaScript = None Togo = None Tokelau = None Tonga = None Tongan = None TraditionalChineseScript = None TraditionalHanScript = None TrinidadAndTobago = None TristanDaCunha = None Tsonga = None Tswana = None Tunisia = None Turkey = None Turkish = None Turkmen = None Turkmenistan = None TurksAndCaicosIslands = None Tuvalu = None Twi = None Tyap = None Uganda = None Ugaritic = None UgariticScript = None Uighur = None Uigur = None Ukraine = None Ukrainian = None UnitedArabEmirates = None UnitedKingdom = None UnitedStates = None UnitedStatesMinorOutlyingIslands = None UnitedStatesVirginIslands = None UpperSorbian = None Urdu = None Uruguay = None Uzbek = None Uzbekistan = None Vai = None VaiScript = None Vanuatu = None VarangKshitiScript = None VaticanCityState = None Venda = None Venezuela = None Vietnam = None Vietnamese = None Volapuk = None Vunjo = None Walamo = None WallisAndFutunaIslands = None Walloon = None Walser = None Warlpiri = None Welsh = None WesternFrisian = None WesternSahara = None Wolof = None Xhosa = None Yangben = None Yemen = None YiScript = None Yiddish = None Yoruba = None Zambia = None Zarma = None Zhuang = None Zimbabwe = None Zulu = None __new__ = None class QXmlStreamAttribute(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def isDefault(args, *kwargs): pass def name(args, *kwargs): pass def namespaceUri(args, *kwargs): pass def prefix(args, *kwargs): pass def qualifiedName(args, *kwargs): pass def value(args, *kwargs): pass __new__ = None class QXmlStreamNotationDeclaration(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def name(args, *kwargs): pass def publicId(args, *kwargs): pass def systemId(args, *kwargs): pass __new__ = None class QReadWriteLock(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def lockForRead(args, *kwargs): pass def lockForWrite(args, *kwargs): pass def tryLockForRead(args, *kwargs): pass def tryLockForWrite(args, *kwargs): pass def unlock(args, *kwargs): pass NonRecursive = None RecursionMode = None Recursive = None __new__ = None class QDir(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def absoluteFilePath(args, *kwargs): pass def absolutePath(args, *kwargs): pass def canonicalPath(args, *kwargs): pass def cd(args, *kwargs): pass def cdUp(args, *kwargs): pass def count(args, *kwargs): pass def dirName(args, *kwargs): pass def entryInfoList(args, *kwargs): pass def entryList(args, *kwargs): pass def exists(args, *kwargs): pass def filePath(args, *kwargs): pass def filter(args, *kwargs): pass def isAbsolute(args, *kwargs): pass def isReadable(args, *kwargs): pass def isRelative(args, *kwargs): pass def isRoot(args, *kwargs): pass def makeAbsolute(args, *kwargs): pass def mkdir(args, *kwargs): pass def mkpath(args, *kwargs): pass def nameFilters(args, *kwargs): pass def path(args, *kwargs): pass def refresh(args, *kwargs): pass def relativeFilePath(args, *kwargs): pass def remove(args, *kwargs): pass def removeRecursively(args, *kwargs): pass def rename(args, *kwargs): pass def rmdir(args, *kwargs): pass def rmpath(args, *kwargs): pass def setFilter(args, *kwargs): pass def setNameFilters(args, *kwargs): pass def setPath(args, *kwargs): pass def setSorting(args, *kwargs): pass def sorting(args, *kwargs): pass def swap(args, *kwargs): pass def addResourceSearchPath(args, *kwargs): pass def addSearchPath(args, *kwargs): pass def cleanPath(args, *kwargs): pass def current(args, *kwargs): pass def currentPath(args, *kwargs): pass def drives(args, *kwargs): pass def fromNativeSeparators(args, *kwargs): pass def home(args, *kwargs): pass def homePath(args, *kwargs): pass def isAbsolutePath(args, *kwargs): pass def isRelativePath(args, *kwargs): pass def listSeparator(args, *kwargs): pass def match(args, *kwargs): pass def nameFiltersFromString(args, *kwargs): pass def root(args, *kwargs): pass def rootPath(args, *kwargs): pass def searchPaths(args, *kwargs): pass def separator(args, *kwargs): pass def setCurrent(args, *kwargs): pass def setSearchPaths(args, *kwargs): pass def temp(args, *kwargs): pass def tempPath(args, *kwargs): pass def toNativeSeparators(args, *kwargs): pass AccessMask = None AllDirs = None AllEntries = None CaseSensitive = None Dirs = None DirsFirst = None DirsLast = None Drives = None Executable = None Files = None Filter = None Filters = None Hidden = None IgnoreCase = None LocaleAware = None Modified = None Name = None NoDot = None NoDotAndDotDot = None NoDotDot = None NoFilter = None NoSort = None NoSymLinks = None PermissionMask = None Readable = None Reversed = None Size = None SortByMask = None SortFlag = None SortFlags = None System = None Time = None Type = None TypeMask = None Unsorted = None Writable = None __new__ = None class QEvent(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def accept(args, *kwargs): pass def ignore(args, *kwargs): pass def isAccepted(args, *kwargs): pass def setAccepted(args, *kwargs): pass def spontaneous(args, *kwargs): pass def type(args, *kwargs): pass def registerEventType(args, *kwargs): pass AcceptDropsChange = None ActionAdded = None ActionChanged = None ActionRemoved = None ActivateControl = None ActivationChange = None ApplicationActivate = None ApplicationActivated = None ApplicationDeactivate = None ApplicationDeactivated = None ApplicationFontChange = None ApplicationLayoutDirectionChange = None ApplicationPaletteChange = None ApplicationStateChange = None ApplicationWindowIconChange = None ChildAdded = None ChildPolished = None ChildRemoved = None Clipboard = None Close = None CloseSoftwareInputPanel = None ContentsRectChange = None ContextMenu = None Create = None CursorChange = None DeactivateControl = None DeferredDelete = None Destroy = None DragEnter = None DragLeave = None DragMove = None DragResponse = None Drop = None DynamicPropertyChange = None EmbeddingControl = None EnabledChange = None Enter = None EnterWhatsThisMode = None Expose = None FileOpen = None FocusAboutToChange = None FocusIn = None FocusOut = None FontChange = None FutureCallOut = None Gesture = None GestureOverride = None GrabKeyboard = None GrabMouse = None GraphicsSceneContextMenu = None GraphicsSceneDragEnter = None GraphicsSceneDragLeave = None GraphicsSceneDragMove = None GraphicsSceneDrop = None GraphicsSceneHelp = None GraphicsSceneHoverEnter = None GraphicsSceneHoverLeave = None GraphicsSceneHoverMove = None GraphicsSceneMouseDoubleClick = None GraphicsSceneMouseMove = None GraphicsSceneMousePress = None GraphicsSceneMouseRelease = None GraphicsSceneMove = None GraphicsSceneResize = None GraphicsSceneWheel = None HelpRequest = None Hide = None HideToParent = None HoverEnter = None HoverLeave = None HoverMove = None IconDrag = None IconTextChange = None InputMethod = None InputMethodQuery = None KeyPress = None KeyRelease = None KeyboardLayoutChange = None LanguageChange = None LayoutDirectionChange = None LayoutRequest = None Leave = None LeaveWhatsThisMode = None LocaleChange = None MacGLClearDrawable = None MacGLWindowChange = None MacSizeChange = None MaxUser = None MetaCall = None ModifiedChange = None MouseButtonDblClick = None MouseButtonPress = None MouseButtonRelease = None MouseMove = None MouseTrackingChange = None Move = None NativeGesture = None NetworkReplyUpdated = None NonClientAreaMouseButtonDblClick = None NonClientAreaMouseButtonPress = None NonClientAreaMouseButtonRelease = None NonClientAreaMouseMove = None locals()['None'] = None OkRequest = None OrientationChange = None Paint = None PaletteChange = None ParentAboutToChange = None ParentChange = None PlatformPanel = None PlatformSurface = None Polish = None PolishRequest = None QueryWhatsThis = None Quit = None ReadOnlyChange = None RequestSoftwareInputPanel = None Resize = None ScreenChangeInternal = None Scroll = None ScrollPrepare = None Shortcut = None ShortcutOverride = None Show = None ShowToParent = None ShowWindowRequest = None SockAct = None SockClose = None Speech = None StateMachineSignal = None StateMachineWrapped = None StatusTip = None Style = None StyleAnimationUpdate = None StyleChange = None TabletEnterProximity = None TabletLeaveProximity = None TabletMove = None TabletPress = None TabletRelease = None ThemeChange = None ThreadChange = None Timer = None ToolBarChange = None ToolTip = None ToolTipChange = None TouchBegin = None TouchCancel = None TouchEnd = None TouchUpdate = None Type = None UngrabKeyboard = None UngrabMouse = None UpdateLater = None UpdateRequest = None User = None WhatsThis = None WhatsThisClicked = None Wheel = None WinEventAct = None WinIdChange = None WindowActivate = None WindowBlocked = None WindowChangeInternal = None WindowDeactivate = None WindowIconChange = None WindowStateChange = None WindowTitleChange = None WindowUnblocked = None ZOrderChange = None ZeroTimerEvent = None __new__ = None class QResource(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def absoluteFilePath(args, *kwargs): pass def children(args, *kwargs): pass def data(args, *kwargs): pass def fileName(args, *kwargs): pass def isCompressed(args, *kwargs): pass def isDir(args, *kwargs): pass def isFile(args, *kwargs): pass def isValid(args, *kwargs): pass def locale(args, *kwargs): pass def setFileName(args, *kwargs): pass def setLocale(args, *kwargs): pass def size(args, *kwargs): pass def addSearchPath(args, *kwargs): pass def registerResource(args, *kwargs): pass def registerResourceData(args, *kwargs): pass def searchPaths(args, *kwargs): pass def unregisterResource(args, *kwargs): pass def unregisterResourceData(args, *kwargs): pass __new__ = None class Connection(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass __new__ = None class QJsonArray(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lshift__(args, *kwargs): """ x.__lshift__(y) <==> x<<y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rlshift__(args, *kwargs): """ x.__rlshift__(y) <==> y<<x """ pass def append(args, *kwargs): pass def at(args, *kwargs): pass def contains(args, *kwargs): pass def count(args, *kwargs): pass def empty(args, *kwargs): pass def first(args, *kwargs): pass def insert(args, *kwargs): pass def isEmpty(args, *kwargs): pass def last(args, *kwargs): pass def pop_back(args, *kwargs): pass def pop_front(args, *kwargs): pass def prepend(args, *kwargs): pass def push_back(args, *kwargs): pass def push_front(args, *kwargs): pass def removeAt(args, *kwargs): pass def removeFirst(args, *kwargs): pass def removeLast(args, *kwargs): pass def replace(args, *kwargs): pass def size(args, *kwargs): pass def takeAt(args, *kwargs): pass def toVariantList(args, *kwargs): pass def fromStringList(args, *kwargs): pass def fromVariantList(args, *kwargs): pass __new__ = None class QXmlStreamReader(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addData(args, *kwargs): pass def addExtraNamespaceDeclaration(args, *kwargs): pass def addExtraNamespaceDeclarations(args, *kwargs): pass def atEnd(args, *kwargs): pass def attributes(args, *kwargs): pass def characterOffset(args, *kwargs): pass def clear(args, *kwargs): pass def columnNumber(args, *kwargs): pass def device(args, *kwargs): pass def documentEncoding(args, *kwargs): pass def documentVersion(args, *kwargs): pass def dtdName(args, *kwargs): pass def dtdPublicId(args, *kwargs): pass def dtdSystemId(args, *kwargs): pass def entityDeclarations(args, *kwargs): pass def entityResolver(args, *kwargs): pass def error(args, *kwargs): pass def errorString(args, *kwargs): pass def hasError(args, *kwargs): pass def isCDATA(args, *kwargs): pass def isCharacters(args, *kwargs): pass def isComment(args, *kwargs): pass def isDTD(args, *kwargs): pass def isEndDocument(args, *kwargs): pass def isEndElement(args, *kwargs): pass def isEntityReference(args, *kwargs): pass def isProcessingInstruction(args, *kwargs): pass def isStandaloneDocument(args, *kwargs): pass def isStartDocument(args, *kwargs): pass def isStartElement(args, *kwargs): pass def isWhitespace(args, *kwargs): pass def lineNumber(args, *kwargs): pass def name(args, *kwargs): pass def namespaceDeclarations(args, *kwargs): pass def namespaceProcessing(args, *kwargs): pass def namespaceUri(args, *kwargs): pass def notationDeclarations(args, *kwargs): pass def prefix(args, *kwargs): pass def processingInstructionData(args, *kwargs): pass def processingInstructionTarget(args, *kwargs): pass def qualifiedName(args, *kwargs): pass def raiseError(args, *kwargs): pass def readElementText(args, *kwargs): pass def readNext(args, *kwargs): pass def readNextStartElement(args, *kwargs): pass def setDevice(args, *kwargs): pass def setEntityResolver(args, *kwargs): pass def setNamespaceProcessing(args, *kwargs): pass def skipCurrentElement(args, *kwargs): pass def text(args, *kwargs): pass def tokenString(args, *kwargs): pass def tokenType(args, *kwargs): pass Characters = None Comment = None CustomError = None DTD = None EndDocument = None EndElement = None EntityReference = None Error = None ErrorOnUnexpectedElement = None IncludeChildElements = None Invalid = None NoError = None NoToken = None NotWellFormedError = None PrematureEndOfDocumentError = None ProcessingInstruction = None ReadElementTextBehaviour = None SkipChildElements = None StartDocument = None StartElement = None TokenType = None UnexpectedElementError = None __new__ = None class QSize(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __rsub__(args, kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(args, *kwargs): """ x.__rtruediv__(y) <==> y/x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __truediv__(args, *kwargs): """ x.__truediv__(y) <==> x/y """ pass def boundedTo(args, *kwargs): pass def expandedTo(args, *kwargs): pass def height(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isValid(args, *kwargs): pass def scale(args, *kwargs): pass def scaled(args, *kwargs): pass def setHeight(args, *kwargs): pass def setWidth(args, *kwargs): pass def toTuple(args, *kwargs): pass def transpose(args, *kwargs): pass def transposed(args, *kwargs): pass def width(args, *kwargs): pass __new__ = None class QPointF(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __neg__(args, *kwargs): """ x.__neg__() <==> -x """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __pos__(args, *kwargs): """ x.__pos__() <==> +x """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __rsub__(args, kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(args, *kwargs): """ x.__rtruediv__(y) <==> y/x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __truediv__(args, *kwargs): """ x.__truediv__(y) <==> x/y """ pass def isNull(args, *kwargs): pass def manhattanLength(args, *kwargs): pass def setX(args, *kwargs): pass def setY(args, *kwargs): pass def toPoint(args, *kwargs): pass def toTuple(args, *kwargs): pass def x(args, *kwargs): pass def y(args, *kwargs): pass def dotProduct(args, *kwargs): pass __new__ = None class QMutexLocker(_Object): def __enter__(args, *kwargs): pass def __exit__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def mutex(args, *kwargs): pass def relock(args, *kwargs): pass def unlock(args, *kwargs): pass __new__ = None class QRunnable(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def autoDelete(args, *kwargs): pass def run(args, *kwargs): pass def setAutoDelete(args, *kwargs): pass __new__ = None class QUrl(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def adjusted(args, *kwargs): pass def clear(args, *kwargs): pass def errorString(args, *kwargs): pass def hasFragment(args, *kwargs): pass def hasQuery(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isLocalFile(args, *kwargs): pass def isParentOf(args, *kwargs): pass def isRelative(args, *kwargs): pass def isValid(args, *kwargs): pass def matches(args, *kwargs): pass def port(args, *kwargs): pass def resolved(args, *kwargs): pass def scheme(args, *kwargs): pass def setAuthority(args, *kwargs): pass def setFragment(args, *kwargs): pass def setHost(args, *kwargs): pass def setPassword(args, *kwargs): pass def setPath(args, *kwargs): pass def setPort(args, *kwargs): pass def setQuery(args, *kwargs): pass def setScheme(args, *kwargs): pass def setUrl(args, *kwargs): pass def setUserInfo(args, *kwargs): pass def setUserName(args, *kwargs): pass def swap(args, *kwargs): pass def toDisplayString(args, *kwargs): pass def toEncoded(args, *kwargs): pass def toLocalFile(args, *kwargs): pass def toString(args, *kwargs): pass def url(args, *kwargs): pass def fromAce(args, *kwargs): pass def fromEncoded(args, *kwargs): pass def fromLocalFile(args, *kwargs): pass def fromPercentEncoding(args, *kwargs): pass def fromStringList(args, *kwargs): pass def fromUserInput(args, *kwargs): pass def idnWhitelist(args, *kwargs): pass def setIdnWhitelist(args, *kwargs): pass def toAce(args, *kwargs): pass def toPercentEncoding(args, *kwargs): pass def toStringList(args, *kwargs): pass AssumeLocalFile = None ComponentFormattingOption = None DecodeReserved = None DecodedMode = None DefaultResolution = None EncodeDelimiters = None EncodeReserved = None EncodeSpaces = None EncodeUnicode = None FormattingOptions = None FullyDecoded = None FullyEncoded = None locals()['None'] = None NormalizePathSegments = None ParsingMode = None PreferLocalFile = None PrettyDecoded = None RemoveAuthority = None RemoveFilename = None RemoveFragment = None RemovePassword = None RemovePath = None RemovePort = None RemoveQuery = None RemoveScheme = None RemoveUserInfo = None StrictMode = None StripTrailingSlash = None TolerantMode = None UrlFormattingOption = None UserInputResolutionOption = None UserInputResolutionOptions = None __new__ = None class QObject(_Object): def __delattr__(args, *kwargs): """ x.__delattr__('name') <==> del x.name """ pass def __getattribute__(args, *kwargs): """ x.__getattribute__('name') <==> x.name """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __setattr__(args, *kwargs): """ x.__setattr__('name', value) <==> x.name = value """ pass def blockSignals(args, *kwargs): pass def childEvent(args, *kwargs): pass def children(args, *kwargs): pass def connectNotify(args, *kwargs): pass def customEvent(args, *kwargs): pass def deleteLater(args, *kwargs): pass def disconnectNotify(args, *kwargs): pass def dumpObjectInfo(args, *kwargs): pass def dumpObjectTree(args, *kwargs): pass def dynamicPropertyNames(args, *kwargs): pass def emit(args, *kwargs): pass def event(args, *kwargs): pass def eventFilter(args, *kwargs): pass def findChild(args, *kwargs): pass def findChildren(args, *kwargs): pass def inherits(args, *kwargs): pass def installEventFilter(args, *kwargs): pass def isSignalConnected(args, *kwargs): pass def isWidgetType(args, *kwargs): pass def isWindowType(args, *kwargs): pass def killTimer(args, *kwargs): pass def metaObject(args, *kwargs): pass def moveToThread(args, *kwargs): pass def objectName(args, *kwargs): pass def parent(args, *kwargs): pass def property(args, *kwargs): pass def receivers(args, *kwargs): pass def removeEventFilter(args, *kwargs): pass def sender(args, *kwargs): pass def senderSignalIndex(args, *kwargs): pass def setObjectName(args, *kwargs): pass def setParent(args, *kwargs): pass def setProperty(args, *kwargs): pass def signalsBlocked(args, *kwargs): pass def startTimer(args, *kwargs): pass def thread(args, *kwargs): pass def timerEvent(args, *kwargs): pass def tr(args, *kwargs): pass def connect(args, *kwargs): pass def disconnect(args, *kwargs): pass def registerUserData(args, *kwargs): pass __new__ = None destroyed = None objectNameChanged = None staticMetaObject = None class QJsonDocument(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def array(args, *kwargs): pass def isArray(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isObject(args, *kwargs): pass def object(args, *kwargs): pass def rawData(args, *kwargs): pass def setArray(args, *kwargs): pass def setObject(args, *kwargs): pass def toBinaryData(args, *kwargs): pass def toJson(args, *kwargs): pass def toVariant(args, *kwargs): pass def fromBinaryData(args, *kwargs): pass def fromJson(args, *kwargs): pass def fromRawData(args, *kwargs): pass def fromVariant(args, *kwargs): pass BypassValidation = None Compact = None DataValidation = None Indented = None JsonFormat = None Validate = None __new__ = None class QXmlStreamAttributes(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __delitem__(args, *kwargs): """ x.__delitem__(y) <==> del x[y] """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getitem__(args, *kwargs): """ x.__getitem__(y) <==> x[y] """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __len__(args, *kwargs): """ x.__len__() <==> len(x) """ pass def __lshift__(args, *kwargs): """ x.__lshift__(y) <==> x<<y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rlshift__(args, *kwargs): """ x.__rlshift__(y) <==> y<<x """ pass def __setitem__(args, *kwargs): """ x.__setitem__(i, y) <==> x[i]=y """ pass def append(args, *kwargs): pass def at(args, *kwargs): pass def capacity(args, *kwargs): pass def clear(args, *kwargs): pass def constData(args, *kwargs): pass def constFirst(args, *kwargs): pass def constLast(args, *kwargs): pass def contains(args, *kwargs): pass def count(args, *kwargs): pass def data(args, *kwargs): pass def empty(args, *kwargs): pass def endsWith(args, *kwargs): pass def fill(args, *kwargs): pass def first(args, *kwargs): pass def front(args, *kwargs): pass def hasAttribute(args, *kwargs): pass def indexOf(args, *kwargs): pass def insert(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isSharedWith(args, *kwargs): pass def last(args, *kwargs): pass def lastIndexOf(args, *kwargs): pass def length(args, *kwargs): pass def mid(args, *kwargs): pass def move(args, *kwargs): pass def prepend(args, *kwargs): pass def remove(args, *kwargs): pass def removeAll(args, *kwargs): pass def removeAt(args, *kwargs): pass def removeFirst(args, *kwargs): pass def removeLast(args, *kwargs): pass def removeOne(args, *kwargs): pass def replace(args, *kwargs): pass def reserve(args, *kwargs): pass def resize(args, *kwargs): pass def setSharable(args, *kwargs): pass def size(args, *kwargs): pass def squeeze(args, *kwargs): pass def startsWith(args, *kwargs): pass def swap(args, *kwargs): pass def takeAt(args, *kwargs): pass def takeFirst(args, *kwargs): pass def takeLast(args, *kwargs): pass def value(args, *kwargs): pass __new__ = None class QTextCodec(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def aliases(args, *kwargs): pass def canEncode(args, *kwargs): pass def convertToUnicode(args, *kwargs): pass def fromUnicode(args, *kwargs): pass def makeDecoder(args, *kwargs): pass def makeEncoder(args, *kwargs): pass def mibEnum(args, *kwargs): pass def name(args, *kwargs): pass def toUnicode(args, *kwargs): pass def availableCodecs(args, *kwargs): pass def availableMibs(args, *kwargs): pass def codecForHtml(args, *kwargs): pass def codecForLocale(args, *kwargs): pass def codecForMib(args, *kwargs): pass def codecForName(args, *kwargs): pass def codecForUtfText(args, *kwargs): pass def setCodecForLocale(args, *kwargs): pass ConversionFlag = None ConversionFlags = None ConvertInvalidToNull = None ConverterState = None DefaultConversion = None FreeFunction = None IgnoreHeader = None __new__ = None class QItemSelectionRange(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def bottom(args, *kwargs): pass def bottomRight(args, *kwargs): pass def contains(args, *kwargs): pass def height(args, *kwargs): pass def indexes(args, *kwargs): pass def intersected(args, *kwargs): pass def intersects(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isValid(args, *kwargs): pass def left(args, *kwargs): pass def model(args, *kwargs): pass def parent(args, *kwargs): pass def right(args, *kwargs): pass def swap(args, *kwargs): pass def top(args, *kwargs): pass def topLeft(args, *kwargs): pass def width(args, *kwargs): pass __new__ = None class QSizeF(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __rsub__(args, kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(args, *kwargs): """ x.__rtruediv__(y) <==> y/x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __truediv__(args, *kwargs): """ x.__truediv__(y) <==> x/y """ pass def boundedTo(args, *kwargs): pass def expandedTo(args, *kwargs): pass def height(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isValid(args, *kwargs): pass def scale(args, *kwargs): pass def scaled(args, *kwargs): pass def setHeight(args, *kwargs): pass def setWidth(args, *kwargs): pass def toSize(args, *kwargs): pass def toTuple(args, *kwargs): pass def transpose(args, *kwargs): pass def transposed(args, *kwargs): pass def width(args, *kwargs): pass __new__ = None class QXmlStreamWriter(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def autoFormatting(args, *kwargs): pass def autoFormattingIndent(args, *kwargs): pass def codec(args, *kwargs): pass def device(args, *kwargs): pass def hasError(args, *kwargs): pass def setAutoFormatting(args, *kwargs): pass def setAutoFormattingIndent(args, *kwargs): pass def setCodec(args, *kwargs): pass def setDevice(args, *kwargs): pass def writeAttribute(args, *kwargs): pass def writeAttributes(args, *kwargs): pass def writeCDATA(args, *kwargs): pass def writeCharacters(args, *kwargs): pass def writeComment(args, *kwargs): pass def writeCurrentToken(args, *kwargs): pass def writeDTD(args, *kwargs): pass def writeDefaultNamespace(args, *kwargs): pass def writeEmptyElement(args, *kwargs): pass def writeEndDocument(args, *kwargs): pass def writeEndElement(args, *kwargs): pass def writeEntityReference(args, *kwargs): pass def writeNamespace(args, *kwargs): pass def writeProcessingInstruction(args, *kwargs): pass def writeStartDocument(args, *kwargs): pass def writeStartElement(args, *kwargs): pass def writeTextElement(args, *kwargs): pass __new__ = None class QSemaphore(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def acquire(args, *kwargs): pass def available(args, *kwargs): pass def release(args, *kwargs): pass def tryAcquire(args, *kwargs): pass __new__ = None class QMetaObject(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def cast(args, *kwargs): pass def classInfo(args, *kwargs): pass def classInfoCount(args, *kwargs): pass def classInfoOffset(args, *kwargs): pass def className(args, *kwargs): pass def constructor(args, *kwargs): pass def constructorCount(args, *kwargs): pass def enumerator(args, *kwargs): pass def enumeratorCount(args, *kwargs): pass def enumeratorOffset(args, *kwargs): pass def indexOfClassInfo(args, *kwargs): pass def indexOfConstructor(args, *kwargs): pass def indexOfEnumerator(args, *kwargs): pass def indexOfMethod(args, *kwargs): pass def indexOfProperty(args, *kwargs): pass def indexOfSignal(args, *kwargs): pass def indexOfSlot(args, *kwargs): pass def method(args, *kwargs): pass def methodCount(args, *kwargs): pass def methodOffset(args, *kwargs): pass def newInstance(args, *kwargs): pass def property(args, *kwargs): pass def propertyCount(args, *kwargs): pass def propertyOffset(args, *kwargs): pass def superClass(args, *kwargs): pass def userProperty(args, *kwargs): pass def checkConnectArgs(args, *kwargs): pass def connectSlotsByName(args, *kwargs): pass def disconnect(args, *kwargs): pass def disconnectOne(args, *kwargs): pass def invokeMethod(args, *kwargs): pass def normalizedSignature(args, *kwargs): pass def normalizedType(args, *kwargs): pass Call = None CreateInstance = None IndexOfMethod = None InvokeMetaMethod = None QueryPropertyDesignable = None QueryPropertyEditable = None QueryPropertyScriptable = None QueryPropertyStored = None QueryPropertyUser = None ReadProperty = None RegisterMethodArgumentMetaType = None RegisterPropertyMetaType = None ResetProperty = None WriteProperty = None __new__ = None class QGenericArgument(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def data(args, *kwargs): pass def name(args, *kwargs): pass __new__ = None class QRect(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __and__(args, *kwargs): """ x.__and__(y) <==> x&y """ pass def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __iand__(args, *kwargs): """ x.__iand__(y) <==> x&=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __ior__(args, *kwargs): """ x.__ior__(y) <==> x\|=y """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __or__(args, *kwargs): """ x.__or__(y) <==> x\|y """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rand__(args, *kwargs): """ x.__rand__(y) <==> y&x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __ror__(args, *kwargs): """ x.__ror__(y) <==> y\|x """ pass def __rsub__(args, *kwargs): """ x.__rsub__(y) <==> y-x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def adjust(args, *kwargs): pass def adjusted(args, *kwargs): pass def bottom(args, *kwargs): pass def bottomLeft(args, *kwargs): pass def bottomRight(args, *kwargs): pass def center(args, *kwargs): pass def contains(args, *kwargs): pass def getCoords(args, *kwargs): pass def getRect(args, *kwargs): pass def height(args, *kwargs): pass def intersected(args, *kwargs): pass def intersects(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isValid(args, *kwargs): pass def left(args, *kwargs): pass def marginsAdded(args, *kwargs): pass def marginsRemoved(args, *kwargs): pass def moveBottom(args, *kwargs): pass def moveBottomLeft(args, *kwargs): pass def moveBottomRight(args, *kwargs): pass def moveCenter(args, *kwargs): pass def moveLeft(args, *kwargs): pass def moveRight(args, *kwargs): pass def moveTo(args, *kwargs): pass def moveTop(args, *kwargs): pass def moveTopLeft(args, *kwargs): pass def moveTopRight(args, *kwargs): pass def normalized(args, *kwargs): pass def right(args, *kwargs): pass def setBottom(args, *kwargs): pass def setBottomLeft(args, *kwargs): pass def setBottomRight(args, *kwargs): pass def setCoords(args, *kwargs): pass def setHeight(args, *kwargs): pass def setLeft(args, *kwargs): pass def setRect(args, *kwargs): pass def setRight(args, *kwargs): pass def setSize(args, *kwargs): pass def setTop(args, *kwargs): pass def setTopLeft(args, *kwargs): pass def setTopRight(args, *kwargs): pass def setWidth(args, *kwargs): pass def setX(args, *kwargs): pass def setY(args, *kwargs): pass def size(args, *kwargs): pass def top(args, *kwargs): pass def topLeft(args, *kwargs): pass def topRight(args, *kwargs): pass def translate(args, *kwargs): pass def translated(args, *kwargs): pass def united(args, *kwargs): pass def width(args, *kwargs): pass def x(args, *kwargs): pass def y(args, *kwargs): pass __new__ = None class QMargins(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __div__(args, *kwargs): """ x.__div__(y) <==> x/y """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __isub__(args, *kwargs): """ x.__isub__(y) <==> x-=y """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __mul__(args, *kwargs): """ x.__mul__(y) <==> xy """ pass def __ne__(args, kwargs): """ x.__ne__(y) <==> x!=y """ pass def __neg__(args, *kwargs): """ x.__neg__() <==> -x """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __pos__(args, *kwargs): """ x.__pos__() <==> +x """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __rdiv__(args, *kwargs): """ x.__rdiv__(y) <==> y/x """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __rmul__(args, *kwargs): """ x.__rmul__(y) <==> yx """ pass def __rsub__(args, kwargs): """ x.__rsub__(y) <==> y-x """ pass def __rtruediv__(args, *kwargs): """ x.__rtruediv__(y) <==> y/x """ pass def __sub__(args, *kwargs): """ x.__sub__(y) <==> x-y """ pass def __truediv__(args, *kwargs): """ x.__truediv__(y) <==> x/y """ pass def bottom(args, *kwargs): pass def isNull(args, *kwargs): pass def left(args, *kwargs): pass def right(args, *kwargs): pass def setBottom(args, *kwargs): pass def setLeft(args, *kwargs): pass def setRight(args, *kwargs): pass def setTop(args, *kwargs): pass def top(args, *kwargs): pass __new__ = None class QJsonParseError(_Object): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def errorString(args, *kwargs): pass offset = None __new__ = None class QTextDecoder(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def hasFailure(args, *kwargs): pass def toUnicode(args, *kwargs): pass __new__ = None class QXmlStreamEntityDeclaration(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def name(args, *kwargs): pass def notationName(args, *kwargs): pass def publicId(args, *kwargs): pass def systemId(args, *kwargs): pass def value(args, *kwargs): pass __new__ = None class QPersistentModelIndex(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def child(args, *kwargs): pass def column(args, *kwargs): pass def data(args, *kwargs): pass def flags(args, *kwargs): pass def internalId(args, *kwargs): pass def internalPointer(args, *kwargs): pass def isValid(args, *kwargs): pass def model(args, *kwargs): pass def parent(args, *kwargs): pass def row(args, *kwargs): pass def sibling(args, *kwargs): pass def swap(args, *kwargs): pass __new__ = None class QTime(_Object): def __copy__(args, *kwargs): pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getattribute__(args, *kwargs): """ x.__getattribute__('name') <==> x.name """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def addMSecs(args, *kwargs): pass def addSecs(args, *kwargs): pass def elapsed(args, *kwargs): pass def hour(args, *kwargs): pass def isNull(args, *kwargs): pass def minute(args, *kwargs): pass def msec(args, *kwargs): pass def msecsSinceStartOfDay(args, *kwargs): pass def msecsTo(args, *kwargs): pass def restart(args, *kwargs): pass def second(args, *kwargs): pass def secsTo(args, *kwargs): pass def setHMS(args, *kwargs): pass def start(args, *kwargs): pass def toPython(args, *kwargs): pass def toString(args, *kwargs): pass def currentTime(args, *kwargs): pass def fromMSecsSinceStartOfDay(args, *kwargs): pass def fromString(args, *kwargs): pass def isValid(args, *kwargs): pass __new__ = None class QDirIterator(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def fileInfo(args, *kwargs): pass def fileName(args, *kwargs): pass def filePath(args, *kwargs): pass def hasNext(args, *kwargs): pass def next(args, *kwargs): pass def path(args, *kwargs): pass FollowSymlinks = None IteratorFlag = None IteratorFlags = None NoIteratorFlags = None Subdirectories = None __new__ = None class QCryptographicHash(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addData(args, *kwargs): pass def reset(args, *kwargs): pass def result(args, *kwargs): pass def hash(args, *kwargs): pass Algorithm = None Md4 = None Md5 = None Sha1 = None Sha224 = None Sha256 = None Sha384 = None Sha3_224 = None Sha3_256 = None Sha3_384 = None Sha3_512 = None Sha512 = None __new__ = None class QLibraryInfo(_Object): def build(args, *kwargs): pass def buildDate(args, *kwargs): pass def isDebugBuild(args, *kwargs): pass def licensedProducts(args, *kwargs): pass def licensee(args, *kwargs): pass def location(args, *kwargs): pass def platformPluginArguments(args, *kwargs): pass ArchDataPath = None BinariesPath = None DataPath = None DocumentationPath = None ExamplesPath = None HeadersPath = None ImportsPath = None LibrariesPath = None LibraryExecutablesPath = None LibraryLocation = None PluginsPath = None PrefixPath = None Qml2ImportsPath = None SettingsPath = None TestsPath = None TranslationsPath = None class QSysInfo(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def buildAbi(args, *kwargs): pass def buildCpuArchitecture(args, *kwargs): pass def currentCpuArchitecture(args, *kwargs): pass def kernelType(args, *kwargs): pass def kernelVersion(args, *kwargs): pass def macVersion(args, *kwargs): pass def machineHostName(args, *kwargs): pass def prettyProductName(args, *kwargs): pass def productType(args, *kwargs): pass def productVersion(args, *kwargs): pass BigEndian = None ByteOrder = None Endian = None LittleEndian = None MV_10_0 = None MV_10_1 = None MV_10_10 = None MV_10_11 = None MV_10_2 = None MV_10_3 = None MV_10_4 = None MV_10_5 = None MV_10_6 = None MV_10_7 = None MV_10_8 = None MV_10_9 = None MV_9 = None MV_CHEETAH = None MV_ELCAPITAN = None MV_IOS = None MV_IOS_4_3 = None MV_IOS_5_0 = None MV_IOS_5_1 = None MV_IOS_6_0 = None MV_IOS_6_1 = None MV_IOS_7_0 = None MV_IOS_7_1 = None MV_IOS_8_0 = None MV_IOS_8_1 = None MV_IOS_8_2 = None MV_IOS_8_3 = None MV_IOS_8_4 = None MV_IOS_9_0 = None MV_JAGUAR = None MV_LEOPARD = None MV_LION = None MV_MAVERICKS = None MV_MOUNTAINLION = None MV_None = None MV_PANTHER = None MV_PUMA = None MV_SNOWLEOPARD = None MV_TIGER = None MV_Unknown = None MV_YOSEMITE = None MacVersion = None MacintoshVersion = None Sizes = None WordSize = None __new__ = None class QFactoryInterface(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def keys(args, *kwargs): pass __new__ = None class QDataStream(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __lshift__(args, *kwargs): """ x.__lshift__(y) <==> x<<y """ pass def __rlshift__(args, *kwargs): """ x.__rlshift__(y) <==> y<<x """ pass def __rrshift__(args, *kwargs): """ x.__rrshift__(y) <==> y>>x """ pass def __rshift__(args, *kwargs): """ x.__rshift__(y) <==> x>>y """ pass def atEnd(args, *kwargs): pass def byteOrder(args, *kwargs): pass def device(args, *kwargs): pass def floatingPointPrecision(args, *kwargs): pass def readBool(args, *kwargs): pass def readDouble(args, *kwargs): pass def readFloat(args, *kwargs): pass def readInt16(args, *kwargs): pass def readInt32(args, *kwargs): pass def readInt64(args, *kwargs): pass def readInt8(args, *kwargs): pass def readQChar(args, *kwargs): pass def readQString(args, *kwargs): pass def readQStringList(args, *kwargs): pass def readQVariant(args, *kwargs): pass def readRawData(args, *kwargs): pass def readString(args, *kwargs): pass def readUInt16(args, *kwargs): pass def readUInt32(args, *kwargs): pass def readUInt64(args, *kwargs): pass def readUInt8(args, *kwargs): pass def resetStatus(args, *kwargs): pass def setByteOrder(args, *kwargs): pass def setDevice(args, *kwargs): pass def setFloatingPointPrecision(args, *kwargs): pass def setStatus(args, *kwargs): pass def setVersion(args, *kwargs): pass def skipRawData(args, *kwargs): pass def status(args, *kwargs): pass def unsetDevice(args, *kwargs): pass def version(args, *kwargs): pass def writeBool(args, *kwargs): pass def writeDouble(args, *kwargs): pass def writeFloat(args, *kwargs): pass def writeInt16(args, *kwargs): pass def writeInt32(args, *kwargs): pass def writeInt64(args, *kwargs): pass def writeInt8(args, *kwargs): pass def writeQChar(args, *kwargs): pass def writeQString(args, *kwargs): pass def writeQStringList(args, *kwargs): pass def writeQVariant(args, *kwargs): pass def writeRawData(args, *kwargs): pass def writeString(args, *kwargs): pass def writeUInt16(args, *kwargs): pass def writeUInt32(args, *kwargs): pass def writeUInt64(args, *kwargs): pass def writeUInt8(args, *kwargs): pass BigEndian = None ByteOrder = None DoublePrecision = None FloatingPointPrecision = None LittleEndian = None Ok = None Qt_1_0 = None Qt_2_0 = None Qt_2_1 = None Qt_3_0 = None Qt_3_1 = None Qt_3_3 = None Qt_4_0 = None Qt_4_1 = None Qt_4_2 = None Qt_4_3 = None Qt_4_4 = None Qt_4_5 = None Qt_4_6 = None Qt_4_7 = None Qt_4_8 = None Qt_4_9 = None Qt_5_0 = None Qt_5_1 = None Qt_5_2 = None Qt_5_3 = None Qt_5_4 = None Qt_5_5 = None Qt_5_6 = None Qt_DefaultCompiledVersion = None ReadCorruptData = None ReadPastEnd = None SinglePrecision = None Status = None Version = None WriteFailed = None __new__ = None class QMessageLogContext(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass category = None file = None function = None line = None version = None __new__ = None class QTextEncoder(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def fromUnicode(args, *kwargs): pass def hasFailure(args, *kwargs): pass __new__ = None class QByteArray(_Object): def __add__(args, *kwargs): """ x.__add__(y) <==> x+y """ pass def __copy__(args, *kwargs): pass def __delitem__(args, *kwargs): """ x.__delitem__(y) <==> del x[y] """ pass def __eq__(args, *kwargs): """ x.__eq__(y) <==> x==y """ pass def __ge__(args, *kwargs): """ x.__ge__(y) <==> x>=y """ pass def __getitem__(args, *kwargs): """ x.__getitem__(y) <==> x[y] """ pass def __getslice__(args, *kwargs): """ x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported. """ pass def __gt__(args, *kwargs): """ x.__gt__(y) <==> x>y """ pass def __hash__(args, *kwargs): """ x.__hash__() <==> hash(x) """ pass def __iadd__(args, *kwargs): """ x.__iadd__(y) <==> x+=y """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def __le__(args, *kwargs): """ x.__le__(y) <==> x<=y """ pass def __len__(args, *kwargs): """ x.__len__() <==> len(x) """ pass def __lt__(args, *kwargs): """ x.__lt__(y) <==> x<y """ pass def __ne__(args, *kwargs): """ x.__ne__(y) <==> x!=y """ pass def __nonzero__(args, *kwargs): """ x.__nonzero__() <==> x != 0 """ pass def __radd__(args, *kwargs): """ x.__radd__(y) <==> y+x """ pass def __reduce__(args, *kwargs): pass def __repr__(args, *kwargs): """ x.__repr__() <==> repr(x) """ pass def __setitem__(args, *kwargs): """ x.__setitem__(i, y) <==> x[i]=y """ pass def __str__(args, *kwargs): """ x.__str__() <==> str(x) """ pass def append(args, *kwargs): pass def at(args, *kwargs): pass def capacity(args, *kwargs): pass def cbegin(args, *kwargs): pass def cend(args, *kwargs): pass def chop(args, *kwargs): pass def clear(args, *kwargs): pass def contains(args, *kwargs): pass def count(args, *kwargs): pass def data(args, *kwargs): pass def endsWith(args, *kwargs): pass def fill(args, *kwargs): pass def indexOf(args, *kwargs): pass def insert(args, *kwargs): pass def isEmpty(args, *kwargs): pass def isNull(args, *kwargs): pass def isSharedWith(args, *kwargs): pass def lastIndexOf(args, *kwargs): pass def left(args, *kwargs): pass def leftJustified(args, *kwargs): pass def length(args, *kwargs): pass def mid(args, *kwargs): pass def prepend(args, *kwargs): pass def remove(args, *kwargs): pass def repeated(args, *kwargs): pass def replace(args, *kwargs): pass def reserve(args, *kwargs): pass def resize(args, *kwargs): pass def right(args, *kwargs): pass def rightJustified(args, *kwargs): pass def setNum(args, *kwargs): pass def setRawData(args, *kwargs): pass def simplified(args, *kwargs): pass def size(args, *kwargs): pass def split(args, *kwargs): pass def squeeze(args, *kwargs): pass def startsWith(args, *kwargs): pass def swap(args, *kwargs): pass def toBase64(args, *kwargs): pass def toDouble(args, *kwargs): pass def toFloat(args, *kwargs): pass def toHex(args, *kwargs): pass def toInt(args, *kwargs): pass def toLong(args, *kwargs): pass def toLongLong(args, *kwargs): pass def toLower(args, *kwargs): pass def toPercentEncoding(args, *kwargs): pass def toShort(args, *kwargs): pass def toUInt(args, *kwargs): pass def toULong(args, *kwargs): pass def toULongLong(args, *kwargs): pass def toUShort(args, *kwargs): pass def toUpper(args, *kwargs): pass def trimmed(args, *kwargs): pass def truncate(args, *kwargs): pass def fromBase64(args, *kwargs): pass def fromHex(args, *kwargs): pass def fromPercentEncoding(args, *kwargs): pass def fromRawData(args, *kwargs): pass def number(args, *kwargs): pass Base64Encoding = None Base64Option = None Base64Options = None Base64UrlEncoding = None KeepTrailingEquals = None OmitTrailingEquals = None __new__ = None class QXmlStreamEntityResolver(_Object): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def resolveEntity(args, *kwargs): pass def resolveUndeclaredEntity(args, *kwargs): pass __new__ = None class QDynamicPropertyChangeEvent(QEvent): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def propertyName(args, *kwargs): pass __new__ = None class QAbstractItemModel(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def beginInsertColumns(args, *kwargs): pass def beginInsertRows(args, *kwargs): pass def beginMoveColumns(args, *kwargs): pass def beginMoveRows(args, *kwargs): pass def beginRemoveColumns(args, *kwargs): pass def beginRemoveRows(args, *kwargs): pass def beginResetModel(args, *kwargs): pass def buddy(args, *kwargs): pass def canDropMimeData(args, *kwargs): pass def canFetchMore(args, *kwargs): pass def changePersistentIndex(args, *kwargs): pass def changePersistentIndexList(args, *kwargs): pass def columnCount(args, *kwargs): pass def createIndex(args, *kwargs): pass def data(args, *kwargs): pass def decodeData(args, *kwargs): pass def dropMimeData(args, *kwargs): pass def encodeData(args, *kwargs): pass def endInsertColumns(args, *kwargs): pass def endInsertRows(args, *kwargs): pass def endMoveColumns(args, *kwargs): pass def endMoveRows(args, *kwargs): pass def endRemoveColumns(args, *kwargs): pass def endRemoveRows(args, *kwargs): pass def endResetModel(args, *kwargs): pass def fetchMore(args, *kwargs): pass def flags(args, *kwargs): pass def hasChildren(args, *kwargs): pass def hasIndex(args, *kwargs): pass def headerData(args, *kwargs): pass def index(args, *kwargs): pass def insertColumn(args, *kwargs): pass def insertColumns(args, *kwargs): pass def insertRow(args, *kwargs): pass def insertRows(args, *kwargs): pass def itemData(args, *kwargs): pass def match(args, *kwargs): pass def mimeData(args, *kwargs): pass def mimeTypes(args, *kwargs): pass def moveColumn(args, *kwargs): pass def moveColumns(args, *kwargs): pass def moveRow(args, *kwargs): pass def moveRows(args, *kwargs): pass def parent(args, *kwargs): pass def persistentIndexList(args, *kwargs): pass def removeColumn(args, *kwargs): pass def removeColumns(args, *kwargs): pass def removeRow(args, *kwargs): pass def removeRows(args, *kwargs): pass def resetInternalData(args, *kwargs): pass def revert(args, *kwargs): pass def roleNames(args, *kwargs): pass def rowCount(args, *kwargs): pass def setData(args, *kwargs): pass def setHeaderData(args, *kwargs): pass def setItemData(args, *kwargs): pass def sibling(args, *kwargs): pass def sort(args, *kwargs): pass def span(args, *kwargs): pass def submit(args, *kwargs): pass def supportedDragActions(args, *kwargs): pass def supportedDropActions(args, *kwargs): pass HorizontalSortHint = None LayoutChangeHint = None NoLayoutChangeHint = None VerticalSortHint = None __new__ = None columnsAboutToBeInserted = None columnsAboutToBeMoved = None columnsAboutToBeRemoved = None columnsInserted = None columnsMoved = None columnsRemoved = None dataChanged = None headerDataChanged = None layoutAboutToBeChanged = None layoutChanged = None modelAboutToBeReset = None modelReset = None rowsAboutToBeInserted = None rowsAboutToBeMoved = None rowsAboutToBeRemoved = None rowsInserted = None rowsMoved = None rowsRemoved = None staticMetaObject = None class QTimeLine(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def currentFrame(args, *kwargs): pass def currentTime(args, *kwargs): pass def currentValue(args, *kwargs): pass def curveShape(args, *kwargs): pass def direction(args, *kwargs): pass def duration(args, *kwargs): pass def easingCurve(args, *kwargs): pass def endFrame(args, *kwargs): pass def frameForTime(args, *kwargs): pass def loopCount(args, *kwargs): pass def resume(args, *kwargs): pass def setCurrentTime(args, *kwargs): pass def setCurveShape(args, *kwargs): pass def setDirection(args, *kwargs): pass def setDuration(args, *kwargs): pass def setEasingCurve(args, *kwargs): pass def setEndFrame(args, *kwargs): pass def setFrameRange(args, *kwargs): pass def setLoopCount(args, *kwargs): pass def setPaused(args, *kwargs): pass def setStartFrame(args, *kwargs): pass def setUpdateInterval(args, *kwargs): pass def start(args, *kwargs): pass def startFrame(args, *kwargs): pass def state(args, *kwargs): pass def stop(args, *kwargs): pass def timerEvent(args, *kwargs): pass def toggleDirection(args, *kwargs): pass def updateInterval(args, *kwargs): pass def valueForTime(args, *kwargs): pass Backward = None CosineCurve = None CurveShape = None Direction = None EaseInCurve = None EaseInOutCurve = None EaseOutCurve = None Forward = None LinearCurve = None NotRunning = None Paused = None Running = None SineCurve = None State = None __new__ = None finished = None frameChanged = None stateChanged = None staticMetaObject = None valueChanged = None class QSettings(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def allKeys(args, *kwargs): pass def applicationName(args, *kwargs): pass def beginGroup(args, *kwargs): pass def beginReadArray(args, *kwargs): pass def beginWriteArray(args, *kwargs): pass def childGroups(args, *kwargs): pass def childKeys(args, *kwargs): pass def clear(args, *kwargs): pass def contains(args, *kwargs): pass def endArray(args, *kwargs): pass def endGroup(args, *kwargs): pass def event(args, *kwargs): pass def fallbacksEnabled(args, *kwargs): pass def fileName(args, *kwargs): pass def format(args, *kwargs): pass def group(args, *kwargs): pass def iniCodec(args, *kwargs): pass def isWritable(args, *kwargs): pass def organizationName(args, *kwargs): pass def remove(args, *kwargs): pass def scope(args, *kwargs): pass def setArrayIndex(args, *kwargs): pass def setFallbacksEnabled(args, *kwargs): pass def setIniCodec(args, *kwargs): pass def setValue(args, *kwargs): pass def status(args, *kwargs): pass def sync(args, *kwargs): pass def value(args, *kwargs): pass def defaultFormat(args, *kwargs): pass def setDefaultFormat(args, *kwargs): pass def setPath(args, *kwargs): pass AccessError = None CustomFormat1 = None CustomFormat10 = None CustomFormat11 = None CustomFormat12 = None CustomFormat13 = None CustomFormat14 = None CustomFormat15 = None CustomFormat16 = None CustomFormat2 = None CustomFormat3 = None CustomFormat4 = None CustomFormat5 = None CustomFormat6 = None CustomFormat7 = None CustomFormat8 = None CustomFormat9 = None Format = None FormatError = None IniFormat = None InvalidFormat = None NativeFormat = None NoError = None Scope = None Status = None SystemScope = None UserScope = None __new__ = None staticMetaObject = None class QTimer(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def interval(args, *kwargs): pass def isActive(args, *kwargs): pass def isSingleShot(args, *kwargs): pass def killTimer(args, *kwargs): pass def remainingTime(args, *kwargs): pass def setInterval(args, *kwargs): pass def setSingleShot(args, *kwargs): pass def setTimerType(args, *kwargs): pass def start(args, *kwargs): pass def stop(args, *kwargs): pass def timerEvent(args, *kwargs): pass def timerId(args, *kwargs): pass def timerType(args, *kwargs): pass def singleShot(args, *kwargs): pass __new__ = None staticMetaObject = None timeout = None class QMimeData(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def clear(args, *kwargs): pass def colorData(args, *kwargs): pass def data(args, *kwargs): pass def formats(args, *kwargs): pass def hasColor(args, *kwargs): pass def hasFormat(args, *kwargs): pass def hasHtml(args, *kwargs): pass def hasImage(args, *kwargs): pass def hasText(args, *kwargs): pass def hasUrls(args, *kwargs): pass def html(args, *kwargs): pass def imageData(args, *kwargs): pass def removeFormat(args, *kwargs): pass def retrieveData(args, *kwargs): pass def setColorData(args, *kwargs): pass def setData(args, *kwargs): pass def setHtml(args, *kwargs): pass def setImageData(args, *kwargs): pass def setText(args, *kwargs): pass def setUrls(args, *kwargs): pass def text(args, *kwargs): pass def urls(args, *kwargs): pass __new__ = None staticMetaObject = None class QChildEvent(QEvent): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def added(args, *kwargs): pass def child(args, *kwargs): pass def polished(args, *kwargs): pass def removed(args, *kwargs): pass __new__ = None class QSignalMapper(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def map(args, *kwargs): pass def mapping(args, *kwargs): pass def removeMappings(args, *kwargs): pass def setMapping(args, *kwargs): pass __new__ = None mapped = None staticMetaObject = None class QPluginLoader(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def errorString(args, *kwargs): pass def fileName(args, *kwargs): pass def instance(args, *kwargs): pass def isLoaded(args, *kwargs): pass def load(args, *kwargs): pass def metaData(args, *kwargs): pass def setFileName(args, *kwargs): pass def unload(args, *kwargs): pass def staticInstances(args, *kwargs): pass __new__ = None staticMetaObject = None class QIODevice(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def atEnd(args, *kwargs): pass def bytesAvailable(args, *kwargs): pass def bytesToWrite(args, *kwargs): pass def canReadLine(args, *kwargs): pass def close(args, *kwargs): pass def errorString(args, *kwargs): pass def getChar(args, *kwargs): pass def isOpen(args, *kwargs): pass def isReadable(args, *kwargs): pass def isSequential(args, *kwargs): pass def isTextModeEnabled(args, *kwargs): pass def isWritable(args, *kwargs): pass def open(args, *kwargs): pass def openMode(args, *kwargs): pass def peek(args, *kwargs): pass def pos(args, *kwargs): pass def putChar(args, *kwargs): pass def read(args, *kwargs): pass def readAll(args, *kwargs): pass def readData(args, *kwargs): pass def readLine(args, *kwargs): pass def readLineData(args, *kwargs): pass def reset(args, *kwargs): pass def seek(args, *kwargs): pass def setErrorString(args, *kwargs): pass def setOpenMode(args, *kwargs): pass def setTextModeEnabled(args, *kwargs): pass def size(args, *kwargs): pass def ungetChar(args, *kwargs): pass def waitForBytesWritten(args, *kwargs): pass def waitForReadyRead(args, *kwargs): pass def write(args, *kwargs): pass def writeData(args, *kwargs): pass Append = None NotOpen = None OpenMode = None OpenModeFlag = None ReadOnly = None ReadWrite = None Text = None Truncate = None Unbuffered = None WriteOnly = None __new__ = None aboutToClose = None bytesWritten = None readChannelFinished = None readyRead = None staticMetaObject = None class QAbstractAnimation(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def currentLoop(args, *kwargs): pass def currentLoopTime(args, *kwargs): pass def currentTime(args, *kwargs): pass def direction(args, *kwargs): pass def duration(args, *kwargs): pass def event(args, *kwargs): pass def group(args, *kwargs): pass def loopCount(args, *kwargs): pass def pause(args, *kwargs): pass def resume(args, *kwargs): pass def setCurrentTime(args, *kwargs): pass def setDirection(args, *kwargs): pass def setLoopCount(args, *kwargs): pass def setPaused(args, *kwargs): pass def start(args, *kwargs): pass def state(args, *kwargs): pass def stop(args, *kwargs): pass def totalDuration(args, *kwargs): pass def updateCurrentTime(args, *kwargs): pass def updateDirection(args, *kwargs): pass def updateState(args, *kwargs): pass Backward = None DeleteWhenStopped = None DeletionPolicy = None Direction = None Forward = None KeepWhenStopped = None Paused = None Running = None State = None Stopped = None __new__ = None currentLoopChanged = None directionChanged = None finished = None stateChanged = None staticMetaObject = None class QTimerEvent(QEvent): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def timerId(args, *kwargs): pass __new__ = None class QMutex(QBasicMutex): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def lock(args, *kwargs): pass def tryLock(args, *kwargs): pass def unlock(args, *kwargs): pass NonRecursive = None RecursionMode = None Recursive = None __new__ = None class QTranslator(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def isEmpty(args, *kwargs): pass def load(args, *kwargs): pass def translate(args, *kwargs): pass __new__ = None staticMetaObject = None class QCoreApplication(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def notify(args, *kwargs): pass def addLibraryPath(args, *kwargs): pass def applicationDirPath(args, *kwargs): pass def applicationFilePath(args, *kwargs): pass def applicationName(args, *kwargs): pass def applicationPid(args, *kwargs): pass def applicationVersion(args, *kwargs): pass def arguments(args, *kwargs): pass def closingDown(args, *kwargs): pass def eventDispatcher(args, *kwargs): pass def exec_(args, *kwargs): pass def exit(args, *kwargs): pass def flush(args, *kwargs): pass def hasPendingEvents(args, *kwargs): pass def installTranslator(args, *kwargs): pass def instance(args, *kwargs): pass def isQuitLockEnabled(args, *kwargs): pass def isSetuidAllowed(args, *kwargs): pass def libraryPaths(args, *kwargs): pass def organizationDomain(args, *kwargs): pass def organizationName(args, *kwargs): pass def postEvent(args, *kwargs): pass def processEvents(args, *kwargs): pass def quit(args, *kwargs): pass def removeLibraryPath(args, *kwargs): pass def removePostedEvents(args, *kwargs): pass def removeTranslator(args, *kwargs): pass def sendEvent(args, *kwargs): pass def sendPostedEvents(args, *kwargs): pass def setApplicationName(args, *kwargs): pass def setApplicationVersion(args, *kwargs): pass def setAttribute(args, *kwargs): pass def setEventDispatcher(args, *kwargs): pass def setLibraryPaths(args, *kwargs): pass def setOrganizationDomain(args, *kwargs): pass def setOrganizationName(args, *kwargs): pass def setQuitLockEnabled(args, *kwargs): pass def setSetuidAllowed(args, *kwargs): pass def startingUp(args, *kwargs): pass def testAttribute(args, *kwargs): pass def translate(args, *kwargs): pass ApplicationFlags = 329216 __new__ = None aboutToQuit = None applicationNameChanged = None applicationVersionChanged = None organizationDomainChanged = None organizationNameChanged = None staticMetaObject = None class QAbstractState(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def active(args, *kwargs): pass def event(args, *kwargs): pass def machine(args, *kwargs): pass def onEntry(args, *kwargs): pass def onExit(args, *kwargs): pass def parentState(args, *kwargs): pass __new__ = None activeChanged = None entered = None exited = None staticMetaObject = None class QSocketNotifier(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def isEnabled(args, *kwargs): pass def setEnabled(args, *kwargs): pass def socket(args, *kwargs): pass def type(args, *kwargs): pass Exception = None Read = None Type = None Write = None __new__ = None activated = None staticMetaObject = None class QFileSystemWatcher(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addPath(args, *kwargs): pass def addPaths(args, *kwargs): pass def directories(args, *kwargs): pass def files(args, *kwargs): pass def removePath(args, *kwargs): pass def removePaths(args, *kwargs): pass __new__ = None directoryChanged = None fileChanged = None staticMetaObject = None class QItemSelectionModel(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def clear(args, *kwargs): pass def clearCurrentIndex(args, *kwargs): pass def clearSelection(args, *kwargs): pass def columnIntersectsSelection(args, *kwargs): pass def currentIndex(args, *kwargs): pass def emitSelectionChanged(args, *kwargs): pass def hasSelection(args, *kwargs): pass def isColumnSelected(args, *kwargs): pass def isRowSelected(args, *kwargs): pass def isSelected(args, *kwargs): pass def model(args, *kwargs): pass def reset(args, *kwargs): pass def rowIntersectsSelection(args, *kwargs): pass def select(args, *kwargs): pass def selectedColumns(args, *kwargs): pass def selectedIndexes(args, *kwargs): pass def selectedRows(args, *kwargs): pass def selection(args, *kwargs): pass def setCurrentIndex(args, *kwargs): pass def setModel(args, *kwargs): pass Clear = None ClearAndSelect = None Columns = None Current = None Deselect = None NoUpdate = None Rows = None Select = None SelectCurrent = None SelectionFlag = None SelectionFlags = None Toggle = None ToggleCurrent = None __new__ = None currentChanged = None currentColumnChanged = None currentRowChanged = None modelChanged = None selectionChanged = None staticMetaObject = None class QThread(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def eventDispatcher(args, *kwargs): pass def exec_(args, *kwargs): pass def exit(args, *kwargs): pass def isFinished(args, *kwargs): pass def isInterruptionRequested(args, *kwargs): pass def isRunning(args, *kwargs): pass def loopLevel(args, *kwargs): pass def priority(args, *kwargs): pass def quit(args, *kwargs): pass def requestInterruption(args, *kwargs): pass def run(args, *kwargs): pass def setEventDispatcher(args, *kwargs): pass def setPriority(args, *kwargs): pass def setStackSize(args, *kwargs): pass def stackSize(args, *kwargs): pass def start(args, *kwargs): pass def terminate(args, *kwargs): pass def wait(args, *kwargs): pass def currentThread(args, *kwargs): pass def currentThreadId(args, *kwargs): pass def idealThreadCount(args, *kwargs): pass def msleep(args, *kwargs): pass def setTerminationEnabled(args, *kwargs): pass def sleep(args, *kwargs): pass def usleep(args, *kwargs): pass def yieldCurrentThread(args, *kwargs): pass HighPriority = None HighestPriority = None IdlePriority = None InheritPriority = None LowPriority = None LowestPriority = None NormalPriority = None Priority = None TimeCriticalPriority = None __new__ = None finished = None started = None staticMetaObject = None class QAbstractEventDispatcher(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def closingDown(args, *kwargs): pass def flush(args, *kwargs): pass def hasPendingEvents(args, *kwargs): pass def interrupt(args, *kwargs): pass def processEvents(args, *kwargs): pass def registerSocketNotifier(args, *kwargs): pass def registerTimer(args, *kwargs): pass def registeredTimers(args, *kwargs): pass def remainingTime(args, *kwargs): pass def startingUp(args, *kwargs): pass def unregisterSocketNotifier(args, *kwargs): pass def unregisterTimer(args, *kwargs): pass def unregisterTimers(args, *kwargs): pass def wakeUp(args, *kwargs): pass def instance(args, *kwargs): pass TimerInfo = None __new__ = None aboutToBlock = None awake = None staticMetaObject = None class QThreadPool(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def activeThreadCount(args, *kwargs): pass def cancel(args, *kwargs): pass def clear(args, *kwargs): pass def expiryTimeout(args, *kwargs): pass def maxThreadCount(args, *kwargs): pass def releaseThread(args, *kwargs): pass def reserveThread(args, *kwargs): pass def setExpiryTimeout(args, *kwargs): pass def setMaxThreadCount(args, *kwargs): pass def start(args, *kwargs): pass def tryStart(args, *kwargs): pass def waitForDone(args, *kwargs): pass def globalInstance(args, *kwargs): pass __new__ = None staticMetaObject = None class QAbstractTransition(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addAnimation(args, *kwargs): pass def animations(args, *kwargs): pass def event(args, *kwargs): pass def eventTest(args, *kwargs): pass def machine(args, *kwargs): pass def onTransition(args, *kwargs): pass def removeAnimation(args, *kwargs): pass def setTargetState(args, *kwargs): pass def setTargetStates(args, *kwargs): pass def setTransitionType(args, *kwargs): pass def sourceState(args, *kwargs): pass def targetState(args, *kwargs): pass def targetStates(args, *kwargs): pass def transitionType(args, *kwargs): pass ExternalTransition = None InternalTransition = None TransitionType = None __new__ = None staticMetaObject = None targetStateChanged = None targetStatesChanged = None triggered = None class QGenericReturnArgument(QGenericArgument): def __copy__(args, *kwargs): pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass __new__ = None class QEventLoop(QObject): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def exec_(args, *kwargs): pass def exit(args, *kwargs): pass def isRunning(args, *kwargs): pass def processEvents(args, *kwargs): pass def quit(args, *kwargs): pass def wakeUp(args, *kwargs): pass AllEvents = None DialogExec = None EventLoopExec = None ExcludeSocketNotifiers = None ExcludeUserInputEvents = None ProcessEventsFlag = None ProcessEventsFlags = None WaitForMoreEvents = None X11ExcludeTimers = None __new__ = None staticMetaObject = None class QVariantAnimation(QAbstractAnimation): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def currentValue(args, *kwargs): pass def duration(args, *kwargs): pass def easingCurve(args, *kwargs): pass def endValue(args, *kwargs): pass def event(args, *kwargs): pass def interpolated(args, *kwargs): pass def keyValueAt(args, *kwargs): pass def keyValues(args, *kwargs): pass def setDuration(args, *kwargs): pass def setEasingCurve(args, *kwargs): pass def setEndValue(args, *kwargs): pass def setKeyValueAt(args, *kwargs): pass def setKeyValues(args, *kwargs): pass def setStartValue(args, *kwargs): pass def startValue(args, *kwargs): pass def updateCurrentTime(args, *kwargs): pass def updateCurrentValue(args, *kwargs): pass def updateState(args, *kwargs): pass __new__ = None staticMetaObject = None valueChanged = None class QFileDevice(QIODevice): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def atEnd(args, *kwargs): pass def close(args, *kwargs): pass def error(args, *kwargs): pass def fileName(args, *kwargs): pass def flush(args, *kwargs): pass def handle(args, *kwargs): pass def isSequential(args, *kwargs): pass def map(args, *kwargs): pass def permissions(args, *kwargs): pass def pos(args, *kwargs): pass def readData(args, *kwargs): pass def readLineData(args, *kwargs): pass def resize(args, *kwargs): pass def seek(args, *kwargs): pass def setPermissions(args, *kwargs): pass def size(args, *kwargs): pass def unmap(args, *kwargs): pass def unsetError(args, *kwargs): pass def writeData(args, *kwargs): pass AbortError = None AutoCloseHandle = None CopyError = None DontCloseHandle = None ExeGroup = None ExeOther = None ExeOwner = None ExeUser = None FatalError = None FileError = None FileHandleFlag = None FileHandleFlags = None MapPrivateOption = None MemoryMapFlags = None NoError = None NoOptions = None OpenError = None Permission = None Permissions = None PermissionsError = None PositionError = None ReadError = None ReadGroup = None ReadOther = None ReadOwner = None ReadUser = None RemoveError = None RenameError = None ResizeError = None ResourceError = None TimeOutError = None UnspecifiedError = None WriteError = None WriteGroup = None WriteOther = None WriteOwner = None WriteUser = None __new__ = None staticMetaObject = None class QHistoryState(QAbstractState): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def defaultState(args, *kwargs): pass def defaultTransition(args, *kwargs): pass def event(args, *kwargs): pass def historyType(args, *kwargs): pass def onEntry(args, *kwargs): pass def onExit(args, *kwargs): pass def setDefaultState(args, *kwargs): pass def setDefaultTransition(args, *kwargs): pass def setHistoryType(args, *kwargs): pass DeepHistory = None HistoryType = None ShallowHistory = None __new__ = None defaultStateChanged = None defaultTransitionChanged = None historyTypeChanged = None staticMetaObject = None class QEventTransition(QAbstractTransition): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def eventSource(args, *kwargs): pass def eventTest(args, *kwargs): pass def eventType(args, *kwargs): pass def onTransition(args, *kwargs): pass def setEventSource(args, *kwargs): pass def setEventType(args, *kwargs): pass __new__ = None staticMetaObject = None class QBuffer(QIODevice): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def atEnd(args, *kwargs): pass def buffer(args, *kwargs): pass def canReadLine(args, *kwargs): pass def close(args, *kwargs): pass def connectNotify(args, *kwargs): pass def data(args, *kwargs): pass def disconnectNotify(args, *kwargs): pass def open(args, *kwargs): pass def pos(args, *kwargs): pass def readData(args, *kwargs): pass def seek(args, *kwargs): pass def setBuffer(args, *kwargs): pass def setData(args, *kwargs): pass def size(args, *kwargs): pass def writeData(args, *kwargs): pass __new__ = None staticMetaObject = None class QState(QAbstractState): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addTransition(args, *kwargs): pass def assignProperty(args, *kwargs): pass def childMode(args, *kwargs): pass def errorState(args, *kwargs): pass def event(args, *kwargs): pass def initialState(args, *kwargs): pass def onEntry(args, *kwargs): pass def onExit(args, *kwargs): pass def removeTransition(args, *kwargs): pass def setChildMode(args, *kwargs): pass def setErrorState(args, *kwargs): pass def setInitialState(args, *kwargs): pass def transitions(args, *kwargs): pass ChildMode = None DontRestoreProperties = None ExclusiveStates = None ParallelStates = None RestorePolicy = None RestoreProperties = None __new__ = None childModeChanged = None errorStateChanged = None finished = None initialStateChanged = None propertiesAssigned = None staticMetaObject = None class QAbstractProxyModel(QAbstractItemModel): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def buddy(args, *kwargs): pass def canDropMimeData(args, *kwargs): pass def canFetchMore(args, *kwargs): pass def data(args, *kwargs): pass def dropMimeData(args, *kwargs): pass def fetchMore(args, *kwargs): pass def flags(args, *kwargs): pass def hasChildren(args, *kwargs): pass def headerData(args, *kwargs): pass def itemData(args, *kwargs): pass def mapFromSource(args, *kwargs): pass def mapSelectionFromSource(args, *kwargs): pass def mapSelectionToSource(args, *kwargs): pass def mapToSource(args, *kwargs): pass def mimeData(args, *kwargs): pass def mimeTypes(args, *kwargs): pass def resetInternalData(args, *kwargs): pass def revert(args, *kwargs): pass def setData(args, *kwargs): pass def setHeaderData(args, *kwargs): pass def setItemData(args, *kwargs): pass def setSourceModel(args, *kwargs): pass def sibling(args, *kwargs): pass def sort(args, *kwargs): pass def sourceModel(args, *kwargs): pass def span(args, *kwargs): pass def submit(args, *kwargs): pass def supportedDragActions(args, *kwargs): pass def supportedDropActions(args, *kwargs): pass __new__ = None sourceModelChanged = None staticMetaObject = None class QSignalTransition(QAbstractTransition): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def eventTest(args, *kwargs): pass def onTransition(args, *kwargs): pass def senderObject(args, *kwargs): pass def setSenderObject(args, *kwargs): pass def setSignal(args, *kwargs): pass def signal(args, *kwargs): pass __new__ = None senderObjectChanged = None signalChanged = None staticMetaObject = None class QFinalState(QAbstractState): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def onEntry(args, *kwargs): pass def onExit(args, *kwargs): pass __new__ = None staticMetaObject = None class QAbstractTableModel(QAbstractItemModel): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def dropMimeData(args, *kwargs): pass def flags(args, *kwargs): pass def hasChildren(args, *kwargs): pass def index(args, *kwargs): pass def parent(args, *kwargs): pass def sibling(args, *kwargs): pass __new__ = None staticMetaObject = None class QAbstractListModel(QAbstractItemModel): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def columnCount(args, *kwargs): pass def dropMimeData(args, *kwargs): pass def flags(args, *kwargs): pass def hasChildren(args, *kwargs): pass def index(args, *kwargs): pass def parent(args, *kwargs): pass def sibling(args, *kwargs): pass __new__ = None staticMetaObject = None class QPauseAnimation(QAbstractAnimation): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def duration(args, *kwargs): pass def event(args, *kwargs): pass def setDuration(args, *kwargs): pass def updateCurrentTime(args, *kwargs): pass __new__ = None staticMetaObject = None class QAnimationGroup(QAbstractAnimation): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addAnimation(args, *kwargs): pass def animationAt(args, *kwargs): pass def animationCount(args, *kwargs): pass def clear(args, *kwargs): pass def event(args, *kwargs): pass def indexOfAnimation(args, *kwargs): pass def insertAnimation(args, *kwargs): pass def removeAnimation(args, *kwargs): pass def takeAnimation(args, *kwargs): pass __new__ = None staticMetaObject = None class QProcess(QIODevice): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def arguments(args, *kwargs): pass def atEnd(args, *kwargs): pass def bytesAvailable(args, *kwargs): pass def bytesToWrite(args, *kwargs): pass def canReadLine(args, *kwargs): pass def close(args, *kwargs): pass def closeReadChannel(args, *kwargs): pass def closeWriteChannel(args, *kwargs): pass def environment(args, *kwargs): pass def exitCode(args, *kwargs): pass def exitStatus(args, *kwargs): pass def inputChannelMode(args, *kwargs): pass def isSequential(args, *kwargs): pass def kill(args, *kwargs): pass def open(args, *kwargs): pass def pid(args, *kwargs): pass def processChannelMode(args, *kwargs): pass def processEnvironment(args, *kwargs): pass def processId(args, *kwargs): pass def program(args, *kwargs): pass def readAllStandardError(args, *kwargs): pass def readAllStandardOutput(args, *kwargs): pass def readChannel(args, *kwargs): pass def readData(args, *kwargs): pass def setArguments(args, *kwargs): pass def setEnvironment(args, *kwargs): pass def setInputChannelMode(args, *kwargs): pass def setProcessChannelMode(args, *kwargs): pass def setProcessEnvironment(args, *kwargs): pass def setProcessState(args, *kwargs): pass def setProgram(args, *kwargs): pass def setReadChannel(args, *kwargs): pass def setStandardErrorFile(args, *kwargs): pass def setStandardInputFile(args, *kwargs): pass def setStandardOutputFile(args, *kwargs): pass def setStandardOutputProcess(args, *kwargs): pass def setWorkingDirectory(args, *kwargs): pass def setupChildProcess(args, *kwargs): pass def start(args, *kwargs): pass def state(args, *kwargs): pass def terminate(args, *kwargs): pass def waitForBytesWritten(args, *kwargs): pass def waitForFinished(args, *kwargs): pass def waitForReadyRead(args, *kwargs): pass def waitForStarted(args, *kwargs): pass def workingDirectory(args, *kwargs): pass def writeData(args, *kwargs): pass def execute(args, *kwargs): pass def nullDevice(args, *kwargs): pass def startDetached(args, *kwargs): pass def systemEnvironment(args, *kwargs): pass CrashExit = None Crashed = None ExitStatus = None FailedToStart = None ForwardedChannels = None ForwardedErrorChannel = None ForwardedInputChannel = None ForwardedOutputChannel = None InputChannelMode = None ManagedInputChannel = None MergedChannels = None NormalExit = None NotRunning = None ProcessChannel = None ProcessChannelMode = None ProcessError = None ProcessState = None ReadError = None Running = None SeparateChannels = None StandardError = None StandardOutput = None Starting = None Timedout = None UnknownError = None WriteError = None __new__ = None error = None errorOccurred = None finished = None readyReadStandardError = None readyReadStandardOutput = None started = None stateChanged = None staticMetaObject = None class QFile(QFileDevice): def __getattribute__(args, *kwargs): """ x.__getattribute__('name') <==> x.name """ pass def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def fileName(args, *kwargs): pass def open(args, *kwargs): pass def setFileName(args, *kwargs): pass def size(args, *kwargs): pass def copy(args, *kwargs): pass def decodeName(args, *kwargs): pass def encodeName(args, *kwargs): pass def exists(args, *kwargs): pass def link(args, *kwargs): pass def permissions(args, *kwargs): pass def readLink(args, *kwargs): pass def remove(args, *kwargs): pass def rename(args, *kwargs): pass def resize(args, *kwargs): pass def setPermissions(args, *kwargs): pass def symLinkTarget(args, *kwargs): pass __new__ = None staticMetaObject = None class QParallelAnimationGroup(QAnimationGroup): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def duration(args, *kwargs): pass def event(args, *kwargs): pass def updateCurrentTime(args, *kwargs): pass def updateDirection(args, *kwargs): pass def updateState(args, *kwargs): pass __new__ = None staticMetaObject = None class QStateMachine(QState): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addDefaultAnimation(args, *kwargs): pass def addState(args, *kwargs): pass def beginMicrostep(args, *kwargs): pass def beginSelectTransitions(args, *kwargs): pass def cancelDelayedEvent(args, *kwargs): pass def clearError(args, *kwargs): pass def configuration(args, *kwargs): pass def defaultAnimations(args, *kwargs): pass def endMicrostep(args, *kwargs): pass def endSelectTransitions(args, *kwargs): pass def error(args, *kwargs): pass def errorString(args, *kwargs): pass def event(args, *kwargs): pass def eventFilter(args, *kwargs): pass def globalRestorePolicy(args, *kwargs): pass def isAnimated(args, *kwargs): pass def isRunning(args, *kwargs): pass def onEntry(args, *kwargs): pass def onExit(args, *kwargs): pass def postDelayedEvent(args, *kwargs): pass def postEvent(args, *kwargs): pass def removeDefaultAnimation(args, *kwargs): pass def removeState(args, *kwargs): pass def setAnimated(args, *kwargs): pass def setGlobalRestorePolicy(args, *kwargs): pass def setRunning(args, *kwargs): pass def start(args, *kwargs): pass def stop(args, *kwargs): pass Error = None EventPriority = None HighPriority = None NoCommonAncestorForTransitionError = None NoDefaultStateInHistoryStateError = None NoError = None NoInitialStateError = None NormalPriority = None SignalEvent = None WrappedEvent = None __new__ = None runningChanged = None started = None staticMetaObject = None stopped = None class QSequentialAnimationGroup(QAnimationGroup): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def addPause(args, *kwargs): pass def currentAnimation(args, *kwargs): pass def duration(args, *kwargs): pass def event(args, *kwargs): pass def insertPause(args, *kwargs): pass def updateCurrentTime(args, *kwargs): pass def updateDirection(args, *kwargs): pass def updateState(args, *kwargs): pass __new__ = None currentAnimationChanged = None staticMetaObject = None class QPropertyAnimation(QVariantAnimation): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def event(args, *kwargs): pass def propertyName(args, *kwargs): pass def setPropertyName(args, *kwargs): pass def setTargetObject(args, *kwargs): pass def targetObject(args, *kwargs): pass def updateCurrentValue(args, *kwargs): pass def updateState(args, *kwargs): pass __new__ = None staticMetaObject = None class QSortFilterProxyModel(QAbstractProxyModel): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def buddy(args, *kwargs): pass def canFetchMore(args, *kwargs): pass def columnCount(args, *kwargs): pass def data(args, *kwargs): pass def dropMimeData(args, *kwargs): pass def dynamicSortFilter(args, *kwargs): pass def fetchMore(args, *kwargs): pass def filterAcceptsColumn(args, *kwargs): pass def filterAcceptsRow(args, *kwargs): pass def filterCaseSensitivity(args, *kwargs): pass def filterKeyColumn(args, *kwargs): pass def filterRegExp(args, *kwargs): pass def filterRole(args, *kwargs): pass def flags(args, *kwargs): pass def hasChildren(args, *kwargs): pass def headerData(args, *kwargs): pass def index(args, *kwargs): pass def insertColumns(args, *kwargs): pass def insertRows(args, *kwargs): pass def invalidate(args, *kwargs): pass def invalidateFilter(args, *kwargs): pass def isSortLocaleAware(args, *kwargs): pass def lessThan(args, *kwargs): pass def mapFromSource(args, *kwargs): pass def mapSelectionFromSource(args, *kwargs): pass def mapSelectionToSource(args, *kwargs): pass def mapToSource(args, *kwargs): pass def match(args, *kwargs): pass def mimeData(args, *kwargs): pass def mimeTypes(args, *kwargs): pass def parent(args, *kwargs): pass def removeColumns(args, *kwargs): pass def removeRows(args, *kwargs): pass def rowCount(args, *kwargs): pass def setData(args, *kwargs): pass def setDynamicSortFilter(args, *kwargs): pass def setFilterCaseSensitivity(args, *kwargs): pass def setFilterFixedString(args, *kwargs): pass def setFilterKeyColumn(args, *kwargs): pass def setFilterRegExp(args, *kwargs): pass def setFilterRole(args, *kwargs): pass def setFilterWildcard(args, *kwargs): pass def setHeaderData(args, *kwargs): pass def setSortCaseSensitivity(args, *kwargs): pass def setSortLocaleAware(args, *kwargs): pass def setSortRole(args, *kwargs): pass def setSourceModel(args, *kwargs): pass def sibling(args, *kwargs): pass def sort(args, *kwargs): pass def sortCaseSensitivity(args, *kwargs): pass def sortColumn(args, *kwargs): pass def sortOrder(args, *kwargs): pass def sortRole(args, *kwargs): pass def span(args, *kwargs): pass def supportedDropActions(args, *kwargs): pass __new__ = None staticMetaObject = None class QTemporaryFile(QFile): def __init__(args, *kwargs): """ x.__init__(...) initializes x; see help(type(x)) for signature """ pass def autoRemove(args, *kwargs): pass def fileName(args, *kwargs): pass def fileTemplate(args, *kwargs): pass def open(args, *kwargs): pass def setAutoRemove(args, *kwargs): pass def setFileTemplate(args, *kwargs): pass def createLocalFile(args, *kwargs): pass def createNativeFile(args, *kwargs): pass __new__ = None staticMetaObject = None def QT_TRANSLATE_NOOP3(args, *kwargs): pass def qVersion(args, *kwargs): pass def qAtan2(args, *kwargs): pass def qAtan(args, *kwargs): pass def qrand(args, *kwargs): pass def QT_TRANSLATE_NOOP_UTF8(args, *kwargs): pass def qIsNull(args, *kwargs): pass def qDebug(args, *kwargs): pass def qFastSin(args, *kwargs): pass def qAsin(args, *kwargs): pass def qIsFinite(args, *kwargs): pass def QT_TR_NOOP_UTF8(args, *kwargs): pass def qtTrId(args, *kwargs): pass def qsrand(args, *kwargs): pass def qFabs(args, *kwargs): pass def qAcos(args, *kwargs): pass def qUnregisterResourceData(args, *kwargs): pass def SIGNAL(args, *kwargs): pass def __moduleShutdown(args, *kwargs): pass def qAbs(args, *kwargs): pass def qFastCos(args, *kwargs): pass def qFuzzyCompare(args, *kwargs): pass def qIsNaN(args, *kwargs): pass def QT_TRANSLATE_NOOP(args, *kwargs): pass def qCritical(args, *kwargs): pass def SLOT(args, *kwargs): pass def qIsInf(args, *kwargs): pass def qExp(args, *kwargs): pass def qInstallMessageHandler(args, *kwargs): pass def qTan(args, *kwargs): pass def qFuzzyIsNull(args, *kwargs): pass def QT_TR_NOOP(args, *kwargs): pass def qChecksum(args, *kwargs): pass def qRegisterResourceData(args, *kwargs): pass def qWarning(args, *kwargs): pass def qFatal(args, *kwargs): pass def qAddPostRoutine(args, **kwargs): pass QtCriticalMsg = None QtWarningMsg = None __version__ = '5.6.0' QtDebugMsg = None QtFatalMsg = None QtSystemMsg = None QtInfoMsg = None	13.620219	70	0.436621	23,828	300,176	5.241355	0.171269	0.212265	0.233836	0.267882	0.448399	0.44257	0.434795	0.427821	0.413785	0.320311	0	0.002728	0.461486	300,176	22,038	71	13.620837	0.769878	0.060271	0.547329	0	0	0.000048	0	0	0	0	0	0	1	0.314062	false	0.31501	0.000237	0	0.685108	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	1	0	0	1	0	6
6caa8e65548cfe60b1b6ac7a62cb876806b19083	7,034	py	Python	tests/test_models/test_basic_conditional_gan.py	plutoyuxie/mmgeneration	0a7f5d16c970de1766ebf049d7a0264fe506504b	[ "Apache-2.0" ]	718	2021-04-15T11:26:20.000Z	2022-03-31T03:11:56.000Z	tests/test_models/test_basic_conditional_gan.py	plutoyuxie/mmgeneration	0a7f5d16c970de1766ebf049d7a0264fe506504b	[ "Apache-2.0" ]	191	2021-04-15T12:13:34.000Z	2022-03-31T16:04:36.000Z	tests/test_models/test_basic_conditional_gan.py	plutoyuxie/mmgeneration	0a7f5d16c970de1766ebf049d7a0264fe506504b	[ "Apache-2.0" ]	107	2021-04-15T12:38:41.000Z	2022-03-27T02:47:16.000Z	from copy import deepcopy import pytest import torch import torch.nn as nn from mmgen.models import BasicConditionalGAN, build_model class TestBasicConditionalGAN(object): @classmethod def setup_class(cls): cls.default_config = dict( type='BasicConditionalGAN', generator=dict( type='SNGANGenerator', output_scale=32, base_channels=256, num_classes=10), discriminator=dict( type='ProjDiscriminator', input_scale=32, base_channels=128, num_classes=10), gan_loss=dict(type='GANLoss', gan_type='hinge'), disc_auxiliary_loss=None, gen_auxiliary_loss=None, train_cfg=None, test_cfg=None) cls.generator_cfg = dict( type='SAGANGenerator', output_scale=32, num_classes=10, base_channels=256, attention_after_nth_block=2, with_spectral_norm=True) cls.disc_cfg = dict( type='SAGANDiscriminator', input_scale=32, num_classes=10, base_channels=128, attention_after_nth_block=1) cls.gan_loss = dict(type='GANLoss', gan_type='hinge') cls.disc_auxiliary_loss = [ dict( type='DiscShiftLoss', loss_weight=0.5, data_info=dict(pred='disc_pred_fake')), dict( type='DiscShiftLoss', loss_weight=0.5, data_info=dict(pred='disc_pred_real')) ] def test_default_dcgan_model_cpu(self): sngan = build_model(self.default_config) assert isinstance(sngan, BasicConditionalGAN) assert not sngan.with_disc_auxiliary_loss assert sngan.with_disc # test forward train with pytest.raises(NotImplementedError): _ = sngan(None, return_loss=True) # test forward test imgs = sngan(None, return_loss=False, mode='sampling', num_batches=2) assert imgs.shape == (2, 3, 32, 32) # test train step data = torch.randn((2, 3, 32, 32)) label = torch.randint(0, 10, (2, )) data_input = dict(img=data, gt_label=label) optimizer_g = torch.optim.SGD(sngan.generator.parameters(), lr=0.01) optimizer_d = torch.optim.SGD( sngan.discriminator.parameters(), lr=0.01) optim_dict = dict(generator=optimizer_g, discriminator=optimizer_d) model_outputs = sngan.train_step(data_input, optim_dict) assert 'results' in model_outputs assert 'log_vars' in model_outputs assert model_outputs['num_samples'] == 2 # more tests for different configs with heavy computation # test disc_steps config_ = deepcopy(self.default_config) config_['train_cfg'] = dict(disc_steps=2) sngan = build_model(config_) model_outputs = sngan.train_step(data_input, optim_dict) assert 'loss_disc_fake' in model_outputs['log_vars'] assert 'loss_disc_fake_g' not in model_outputs['log_vars'] assert sngan.disc_steps == 2 model_outputs = sngan.train_step( data_input, optim_dict, running_status=dict(iteration=1)) assert 'loss_disc_fake' in model_outputs['log_vars'] assert 'loss_disc_fake_g' in model_outputs['log_vars'] # test customized config sagan = BasicConditionalGAN( self.generator_cfg, self.disc_cfg, self.gan_loss, self.disc_auxiliary_loss, ) # test train step data = torch.randn((2, 3, 32, 32)) data_input = dict(img=data, gt_label=label) optimizer_g = torch.optim.SGD(sngan.generator.parameters(), lr=0.01) optimizer_d = torch.optim.SGD( sngan.discriminator.parameters(), lr=0.01) optim_dict = dict(generator=optimizer_g, discriminator=optimizer_d) model_outputs = sagan.train_step(data_input, optim_dict) assert 'results' in model_outputs assert 'log_vars' in model_outputs assert model_outputs['num_samples'] == 2 sagan = BasicConditionalGAN( self.generator_cfg, self.disc_cfg, self.gan_loss, dict( type='DiscShiftLoss', loss_weight=0.5, data_info=dict(pred='disc_pred_fake')), dict(type='GeneratorPathRegularizer')) assert isinstance(sagan.disc_auxiliary_losses, nn.ModuleList) assert isinstance(sagan.gen_auxiliary_losses, nn.ModuleList) sagan = BasicConditionalGAN( self.generator_cfg, self.disc_cfg, self.gan_loss, dict( type='DiscShiftLoss', loss_weight=0.5, data_info=dict(pred='disc_pred_fake')), [dict(type='GeneratorPathRegularizer')]) assert isinstance(sagan.disc_auxiliary_losses, nn.ModuleList) assert isinstance(sagan.gen_auxiliary_losses, nn.ModuleList) @pytest.mark.skipif(not torch.cuda.is_available(), reason='requires cuda') def test_default_dcgan_model_cuda(self): sngan = build_model(self.default_config).cuda() assert isinstance(sngan, BasicConditionalGAN) assert not sngan.with_disc_auxiliary_loss assert sngan.with_disc # test forward train with pytest.raises(NotImplementedError): _ = sngan(None, return_loss=True) # test forward test imgs = sngan(None, return_loss=False, mode='sampling', num_batches=2) assert imgs.shape == (2, 3, 32, 32) # test train step data = torch.randn((2, 3, 32, 32)).cuda() label = torch.randint(0, 10, (2, )).cuda() data_input = dict(img=data, gt_label=label) optimizer_g = torch.optim.SGD(sngan.generator.parameters(), lr=0.01) optimizer_d = torch.optim.SGD( sngan.discriminator.parameters(), lr=0.01) optim_dict = dict(generator=optimizer_g, discriminator=optimizer_d) model_outputs = sngan.train_step(data_input, optim_dict) assert 'results' in model_outputs assert 'log_vars' in model_outputs assert model_outputs['num_samples'] == 2 # more tests for different configs with heavy computation # test disc_steps config_ = deepcopy(self.default_config) config_['train_cfg'] = dict(disc_steps=2) sngan = build_model(config_).cuda() model_outputs = sngan.train_step(data_input, optim_dict) assert 'loss_disc_fake' in model_outputs['log_vars'] assert 'loss_disc_fake_g' not in model_outputs['log_vars'] assert sngan.disc_steps == 2 model_outputs = sngan.train_step( data_input, optim_dict, running_status=dict(iteration=1)) assert 'loss_disc_fake' in model_outputs['log_vars'] assert 'loss_disc_fake_g' in model_outputs['log_vars']	38.861878	78	0.624396	835	7,034	4.99521	0.158084	0.069048	0.046991	0.034524	0.824263	0.812755	0.802685	0.770559	0.754256	0.754256	0	0.020776	0.28149	7,034	180	79	39.077778	0.804511	0.040944	0.671233	0	0	0.084806	0.007129	0	0	0	0	0.212329	1	0.020548	false	0	0.034247	0	0.061644	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
9f4d313e9b485efce8be3bcbacfb2cea581dc08e	111	py	Python	centroidnet/__init__.py	kdijkstra13/OpenCentroidNetV2	ee013581476db4c37f0184bf176d8071b3c07ac8	[ "MIT" ]	null	null	null	centroidnet/__init__.py	kdijkstra13/OpenCentroidNetV2	ee013581476db4c37f0184bf176d8071b3c07ac8	[ "MIT" ]	null	null	null	centroidnet/__init__.py	kdijkstra13/OpenCentroidNetV2	ee013581476db4c37f0184bf176d8071b3c07ac8	[ "MIT" ]	null	null	null	from .dataloaders import * from .backbones import * from .centroidnet_core import * from .postprocess import *	22.2	31	0.783784	13	111	6.615385	0.538462	0.348837	0	0	0	0	0	0	0	0	0	0	0.144144	111	4	32	27.75	0.905263	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9f570d2804f069a0770576366af61cfc07d57a7c	19	py	Python	ever/api/preprocess/__init__.py	Bobholamovic/ever	f38060674a40ed53072b9d9be99cc656a830398f	[ "Apache-2.0" ]	22	2021-08-21T00:13:18.000Z	2022-03-28T19:38:10.000Z	ever/api/preprocess/__init__.py	Bobholamovic/ever	f38060674a40ed53072b9d9be99cc656a830398f	[ "Apache-2.0" ]	2	2021-09-01T06:28:38.000Z	2021-12-06T07:17:57.000Z	ever/api/preprocess/__init__.py	Bobholamovic/ever	f38060674a40ed53072b9d9be99cc656a830398f	[ "Apache-2.0" ]	6	2021-08-21T06:32:47.000Z	2022-02-10T07:41:29.000Z	from . import albu	9.5	18	0.736842	3	19	4.666667	1	0	0	0	0	0	0	0	0	0	0	0	0.210526	19	1	19	19	0.933333	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
9f801c03e02977b1430db2d3b95ca86615e5c52c	194	py	Python	src/Products/Five/metaconfigure.py	hitotsunorb1/Zope	6beac6385e1a302903889561385013874ef94cb1	[ "ZPL-2.1" ]	null	null	null	src/Products/Five/metaconfigure.py	hitotsunorb1/Zope	6beac6385e1a302903889561385013874ef94cb1	[ "ZPL-2.1" ]	1	2020-11-11T07:11:31.000Z	2020-11-11T07:11:31.000Z	src/Products/Five/metaconfigure.py	hitotsunorb1/Zope	6beac6385e1a302903889561385013874ef94cb1	[ "ZPL-2.1" ]	null	null	null	# BBB Zope 5.0 from zope.deferredimport import deprecated deprecated( 'Please import from AccessControl.metaconfigure', ClassDirective='AccessControl.metaconfigure:ClassDirective', )	19.4	64	0.78866	19	194	8.052632	0.631579	0.339869	0.522876	0	0	0	0	0	0	0	0	0.011905	0.134021	194	9	65	21.555556	0.89881	0.061856	0	0	0	0.488889	0.383333	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
9f970249b62415b0f3aa968e1dfe93c46fffc126	706	py	Python	plaso/formatters/__init__.py	nflexfo/plaso	5da7aa51c39b593773687fdf20a93ba35fc492b4	[ "Apache-2.0" ]	1	2020-12-04T10:26:34.000Z	2020-12-04T10:26:34.000Z	plaso/formatters/__init__.py	nflexfo/plaso	5da7aa51c39b593773687fdf20a93ba35fc492b4	[ "Apache-2.0" ]	null	null	null	plaso/formatters/__init__.py	nflexfo/plaso	5da7aa51c39b593773687fdf20a93ba35fc492b4	[ "Apache-2.0" ]	null	null	null	# -- coding: utf-8 -- """This file contains an import statement for each formatter.""" from plaso.formatters import asl from plaso.formatters import chrome from plaso.formatters import chrome_preferences from plaso.formatters import file_system from plaso.formatters import firefox from plaso.formatters import gdrive from plaso.formatters import msiecf from plaso.formatters import olecf from plaso.formatters import safari_cookies from plaso.formatters import shell_items from plaso.formatters import tango_android from plaso.formatters import winevt from plaso.formatters import winevtx from plaso.formatters import winlnk from plaso.formatters import winprefetch from plaso.formatters import winreg	35.3	64	0.842776	97	706	6.082474	0.350515	0.244068	0.515254	0.677966	0.105085	0	0	0	0	0	0	0.001595	0.111898	706	19	65	37.157895	0.939394	0.114731	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
4cdd31b0f0a257c64035ba91419ead0983ebaf88	9,496	py	Python	tests/test_gen_schema.py	bigfang/horn-py	a4ad99491d81bd9f8e5d55bd07350b3eea6d1608	[ "MIT" ]	30	2019-05-22T16:37:01.000Z	2021-06-14T20:31:23.000Z	tests/test_gen_schema.py	bigfang/horn-py	a4ad99491d81bd9f8e5d55bd07350b3eea6d1608	[ "MIT" ]	6	2019-06-02T13:07:49.000Z	2020-04-08T13:18:50.000Z	tests/test_gen_schema.py	bigfang/horn-py	a4ad99491d81bd9f8e5d55bd07350b3eea6d1608	[ "MIT" ]	4	2019-06-02T13:05:36.000Z	2019-11-14T11:23:48.000Z	import re import pytest from . import execli, lint class TestGenSchema: @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string content:string author:nest:user'), ('Post', '', 'title:string content:string author:nest:user'), ('Post', 'Post', '')]) def test_gen_schema(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') execli(f'gen schema {module} {fields} {model_opt}', proj_path) captured = capsys.readouterr() match = re.search(r'^.+(?:create\|force\|identical).+\s+(\w+\/schemas/post.py)$', captured.out, re. M) assert match.group(1) genf = (proj_path / match.group(1)) assert genf.is_file() assert lint(genf) with open(genf, 'r') as f: text = f.read() if fields: assert "\n title = fields.String()\n" in text assert "\n content = fields.String()\n" in text assert "\n author = fields.Nested('UserSchema')\n" in text assert "\n fields = ('id', 'title', 'content', 'author', )\n" in text else: assert not re.search(r'^\s+fields.+$', text, re.M) if model: assert re.search(r'^from \w+\.models import Post$', text, re.M) assert "\nclass PostSchema(ModelSchema, SchemaMixin):\n" in text assert "\n model = Post\n" in text else: assert "\nclass PostSchema(Schema, SchemaMixin):\n" in text @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string content:string author:nest:user'), ('Post', '', 'title:string content:string author:nest:user'), ('Post', 'Post', '')]) def test_with_wrong_path(self, tmp_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', tmp_path) captured = capsys.readouterr() assert 'Error: Can not found pyproject.toml\n' == captured.out @pytest.mark.parametrize('module,model,fields', [('blogPost', 'Post', 'title:string content:string author:nest:user'), ('Blog_Post', '', 'title:string content:string author:nest:user'), ('blog_post', 'Post', 'title:string content:string author:nest:user'), ('BLOG_POST', 'Post', 'title:string content:string author:nest:user'), ('BLOGPOST', 'Post', '')]) def test_module_name_should_be_camelcase(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() assert 'Error: Module name must be upper camel case\n' == captured.out @pytest.mark.parametrize('module,model,fields', [('Post', 'blog_post', 'title:string content:string author:nest:user'), ('Post', 'BlogPost', 'title:string content:string author:nest:user'), ('Post', 'Blog_Post', 'title:string content:string author:nest:user')]) def test_model_name_should_be_camelcase(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() match = re.search(r'^.+(?:create\|force\|identical).+\s+(\w+\/schemas/post.py)$', captured.out, re.M) assert match.group(1) genf = (proj_path / match.group(1)) assert genf.is_file() assert lint(genf) with open(genf, 'r') as f: text = f.read() assert re.search(r"^class PostSchema$.+$:$", text, re.M) assert "\n model = BlogPost\n" in text @pytest.mark.parametrize('module,model,fields', [('Post', '', 'xxx'), ('', '', 'title:string content:string author:nest:user')]) def test_with_wrong_opts(self, proj_path, module, model, fields, capsys): model_opt = f'--model={model}' if model else '' with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() assert re.search('^Error: Options error, <.+>: .+$', captured.out, re.M) @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:int content:string author:nest:user'), ('Post', '', 'title:string content:string author:ref:user')]) def test_with_wrong_field_type(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() assert re.search('^Error: Field type error, .+$', captured.out, re.M) @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string:null author:ref:user'), ('Post', '', 'title:string author:nest:user:xxx')]) def test_with_wrong_attr(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() assert re.search('^Error: Unknown attribute, .+$', captured.out, re.M) @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string:nonull content:string:dump author:nest:user'), ('Post', '', 'title:string:uniq content:string:index author:nest:user')]) def test_schema_should_ignore_model_attrs(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() match = re.search(r'^.+(?:create\|force\|identical).+\s+(\w+\/schemas/post.py)$', captured.out, re.M) assert match.group(1) genf = (proj_path / match.group(1)) assert genf.is_file() assert lint(genf) with open(genf, 'r') as f: text = f.read() assert 'null' not in text assert 'uniq' not in text assert 'index' not in text @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string:dump:load author:nest:user'), ('Post', 'Post', 'title:string:load:dump author:nest:user'), ('Post', 'Post', 'title:string:dump:exclude author:nest:user'), ('Post', '', 'title:string:dump:exclude:load author:nest:user:exclude:load')]) def test_schema_meta_key_should_be_mutex(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') with pytest.raises(SystemExit): execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() assert re.search(r'Error: Field attributes error, \[.+\] conflict', captured.out, re.M) @pytest.mark.parametrize('module,model,fields', [('Post', 'Post', 'title:string author:nest:blog_user'), ('Post', '', 'title:string author:nest:blogUser'), ('Post', '', 'title:string author:nest:BlogUser'), ('Post', '', 'title:string author:nest:Blog_User')]) def test_nested_field_should_be_convert_to_camelcase(self, proj_path, module, model, fields, capsys, monkeypatch): model_opt = f'--model={model}' if model else '' monkeypatch.setattr('builtins.input', lambda x: 'y') execli(f'gen schema {module} {model_opt} {fields}', proj_path) captured = capsys.readouterr() match = re.search(r'^.+(?:create\|force\|identical).+\s+(\w+\/schemas/post.py)$', captured.out, re.M) assert match.group(1) genf = (proj_path / match.group(1)) assert genf.is_file() assert lint(genf) with open(genf, 'r') as f: text = f.read() assert "\n author = fields.Nested('BlogUserSchema')\n" in text	53.348315	118	0.567397	1,103	9,496	4.796011	0.110607	0.060302	0.065217	0.05293	0.839509	0.804915	0.780151	0.746314	0.733459	0.70397	0	0.001169	0.279591	9,496	177	119	53.649718	0.772109	0	0.585526	0	0	0.325821	0.050864	0	0	0	0	0.217105	1	0.065789	false	0	0.026316	0	0.098684	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e24fafa4e08e8e04594bf374c060f14a14dcc3da	2,093	py	Python	tests/bin/test_delete_files.py	olaaustine/igsr_archive	7cca14a2ed58845e2101968098859dddeab627fc	[ "Apache-2.0" ]	1	2020-04-16T12:44:24.000Z	2020-04-16T12:44:24.000Z	tests/bin/test_delete_files.py	olaaustine/igsr_archive	7cca14a2ed58845e2101968098859dddeab627fc	[ "Apache-2.0" ]	null	null	null	tests/bin/test_delete_files.py	olaaustine/igsr_archive	7cca14a2ed58845e2101968098859dddeab627fc	[ "Apache-2.0" ]	2	2022-01-11T12:26:52.000Z	2022-02-22T16:22:34.000Z	import pytest import os import pdb import subprocess def test_single_file(load_file): print('Delete a single file using -f and --dry False options') settings_f = os.getenv("DATADIR")+"/settings.ini" cmd = f"{os.getenv('SCRIPTSDIR')}/delete_files.py -f {load_file} --dry False --settings {settings_f}" \ f" --dbname {os.getenv('DBNAME')} --pwd {os.getenv('DBPWD')}" ret = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = ret.communicate() stderr = stderr.decode("utf-8") stdout = stdout.decode("utf-8") if ret.returncode != 0: print(f"\n##Something went wrong. STDERR:##\n: {stderr}\n##") print(f"\n##Something went wrong. STDOUT:##\n: {stdout}\n##") # delete test file os.remove(load_file) print('Delete a single file using -f and --dry False options. DONE...') assert ret.returncode == 0 def test_file_list(load_file_list): print('Delete a list of files using -l and --dry False options') settings_f = os.getenv("DATADIR")+"/settings.ini" cmd = f"{os.getenv('SCRIPTSDIR')}/delete_files.py -l {load_file_list} --dry False --settings {settings_f}" \ f" --dbname {os.getenv('DBNAME')} --pwd {os.getenv('DBPWD')}" ret = subprocess.Popen(cmd, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) stdout, stderr = ret.communicate() stderr = stderr.decode("utf-8") stdout = stdout.decode("utf-8") if ret.returncode != 0: print(f"\n##Something went wrong. STDERR:##\n: {stderr}\n##") print(f"\n##Something went wrong. STDOUT:##\n: {stdout}\n##") # deleting test files with open(load_file_list) as f: for path in f: path=path.rstrip("\n") os.remove(path) os.remove(load_file_list) print('Delete a list of files using -l and --dry False options. DONE...') assert ret.returncode == 0	33.222222	112	0.589107	275	2,093	4.407273	0.225455	0.052805	0.039604	0.059406	0.830033	0.830033	0.830033	0.830033	0.830033	0.790429	0	0.005158	0.258958	2,093	63	113	33.222222	0.776273	0.0172	0.590909	0	0.045455	0.391727	0.060341	0	0	0	0	0.045455	1	0.045455	false	0	0.090909	0	0.136364	0.181818	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
e29dcbaa3b124229320e185f63d94e57d73851a6	47	py	Python	python/reverse_engineering/da_zhong/da_zhong.py	edgells/dev_coms	a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02	[ "MIT" ]	null	null	null	python/reverse_engineering/da_zhong/da_zhong.py	edgells/dev_coms	a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02	[ "MIT" ]	null	null	null	python/reverse_engineering/da_zhong/da_zhong.py	edgells/dev_coms	a7e50c32bcb45c6b6781e6d0514fda6ddf8aef02	[ "MIT" ]	null	null	null	import base64 import hashlib import requests	7.833333	15	0.829787	6	47	6.5	0.666667	0	0	0	0	0	0	0	0	0	0	0.051282	0.170213	47	5	16	9.4	0.948718	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2c3376fbfb9146068670c0d6fbc1a06389d29f98	193	py	Python	preprocess/pseudowords/ioutils.py	a1da4/pmi-semantic-difference	c5d9caf6793ba418bce27498e93f7bf2f0970e53	[ "MIT" ]	null	null	null	preprocess/pseudowords/ioutils.py	a1da4/pmi-semantic-difference	c5d9caf6793ba418bce27498e93f7bf2f0970e53	[ "MIT" ]	null	null	null	preprocess/pseudowords/ioutils.py	a1da4/pmi-semantic-difference	c5d9caf6793ba418bce27498e93f7bf2f0970e53	[ "MIT" ]	null	null	null	import _pickle def write_pickle(data, filename): fp = open(filename, 'wb') _pickle.dump(data, fp) def load_pickle(filename): fp = open(filename, 'rb') return _pickle.load(fp)	19.3	33	0.673575	27	193	4.62963	0.481481	0.16	0.224	0.352	0	0	0	0	0	0	0	0	0.19171	193	9	34	21.444444	0.801282	0	0	0	0	0.020725	0	0	0	0	0	0	1	0.285714	false	0	0.142857	0	0.571429	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	6
2c4dc0603078afae773467dde93da389273a4f03	169	py	Python	moff/__init__.py	Tikubonn/moff	1c363f60959138311068177fca177d0f0dc97380	[ "MIT" ]	null	null	null	moff/__init__.py	Tikubonn/moff	1c363f60959138311068177fca177d0f0dc97380	[ "MIT" ]	null	null	null	moff/__init__.py	Tikubonn/moff	1c363f60959138311068177fca177d0f0dc97380	[ "MIT" ]	null	null	null	from . import node from . import builder from . import stream from . import parser from . import util from . import unit from . import attribute from . import mimetypes	18.777778	23	0.763314	24	169	5.375	0.416667	0.620155	0	0	0	0	0	0	0	0	0	0	0.189349	169	8	24	21.125	0.941606	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2c698ff8b87827033bd73a413887622c859c5192	658,471	py	Python	code.py	HaginCodes/BinarySearch	48cc7a00648dff16086fc8447a221b42ed5aa20a	[ "MIT" ]	null	null	null	code.py	HaginCodes/BinarySearch	48cc7a00648dff16086fc8447a221b42ed5aa20a	[ "MIT" ]	null	null	null	code.py	HaginCodes/BinarySearch	48cc7a00648dff16086fc8447a221b42ed5aa20a	[ "MIT" ]	null	null	null	List = ["((2s,3s,5s)-2-(2-(2,6-dimethylphenoxy)acetamido)-5-((s)-3-methyl-2-(2-oxotetrahydropyrimidin-1(2h)-yl)butanamido)-1,6-diphenylhexan-3-yl) 3-methyl-2-(2-oxotetrahydropyrimidin-1(2h)-yl)butanoate, (s)-", "(1-743)-(1638-2332)-blood-coagulation factor viii (synthetic human) fusion protein with immunoglobulin g1 (synthetic human fc domain fragment), (1444-6'),(1447-9')-bis(disulfide) with immunoglobulin g1 (synthetic human fc domain fragment)", "(2-carbethoxyethyl)diethoxy(methyl)silane", "(all-z)-4,7,10,13,16-docosapentaenoic acid,", "(c10-c30)alkyl methacrylate ester", "(ethinyl estradiol 0.025 mg / norethindrone 0.8 mg chewable tablet) / 4 (ferrous fumarate 75 mg chewable tablet) 28 day pack", "(hydroxymethyl)urea", "(phthalocyaninato(2-)) copper", ".alpha.,.beta.'-diglycerin", ".alpha.-(.alpha.-aminopropyl)benzyl alcohol", ".alpha.-isomethionyl acetate, (2r)-(+)", "1 (dimethicone 1.25 % 4 fl oz topical lotion) / 1 (ethanol 67 % 2 fl oz topical gel)", "1 - 6 oz benzoyl peroxide 4 % wash / 2 benzoyl peroxide 5 % medicated bar soap", "1 daytime (10 fl oz apap 325 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg per 15 ml oral solution) and 1 nighttime (10 fl oz apap 500 mg / dextromethorphan hbr 15 mg / doxylamine succinate 6.25 mg per 15 ml oral solution) pack", "1 daytime (296 ml acetaminophen 325 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg per 15 ml oral solution) and 1 nighttime (296 ml acetaminophen 650 mg / dextromethorphan hbr 30 mg / doxylamine succinate 12.5 mg per 30 ml oral solution) pack", "1 daytime 4 FL OZ (dextromethorphan HBr 5 MG / guaiFENesin 100 MG / phenylephrine HCl 2.5 MG) per 5 ML Oral Solution / 1 nighttime 4 FL OZ (acetaminophen 325 MG / diphenhydrAMINE HCl 12.5 MG / phenylephrine HCl 5 MG) per 10 ML Oral Solution", "1 daytime 6 FL OZ (acetaminophen 650 MG / dextromethorphan HBr 20 MG / guaiFENesin 400 MG / phenylephrine HCl 10 MG) per 20 ML Oral Solution / 1 nighttime 6 FL OZ (acetaminophen 650 MG / diphenhydrAMINE HCl 25 MG / phenylephrine HCl 10 MG) per 20 ML Oral Solution", "1 daytime 8 FL OZ (acetaminophen 500 MG) per 15 ML Oral Solution / 1 nighttime 8 FL OZ (acetaminophen 500 MG / diphenhydrAMINE HCl 25 MG ) per 15 ML Oral Solution", "1 nighttime (12 fl oz acetaminophen 650 mg / dextromethorphan hbr 30 mg / doxylamine succinate 12.5 mg per 30 ml oral solution) / 1 daytime (12 fl oz acetaminophen 325 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg per 15 ml oral solution) pack", "1 nighttime (12 fl oz dextromethorphan hydrobromide 30 mg / doxylamine succinate 12.5 mg per 30 ml oral solution) / 1 daytime (12 fl oz dextromethorphan hydrobromide 15 mg per 15 ml oral solution) pack", "1,1,2,2-tetrafluoroethane", "1,1-difluoroethane", "1,10-decanediol", "1,2,6-hexanetriol", "1,2-benzisothiazoline-3-one", "1,2-butanediol", "1,2-diarachidoyl-sn-glycero-3-phosphocholine", "1,2-dibromo-3-chloropropane", "1,2-dimyristoyl-sn-glycero-3-(phospho-rac-(1-glycerol))", "1,2-dimyristoyl-sn-glycero-3-(phospho-rac-(1-glycerol)) (sodium salt)", "1,2-dioleoyl-sn-glycero-3-phosphocholine", "1,2-dipalmitoyl-sn-glycero-3-(phospho-rac-(1-glycerol))", "1,2-dipalmitoyl-sn-glycero-3-phospho-(1'-rac-glycerol)", "1,2-dipalmitoyl-sn-glycero-3-phospho-(1'-rac-glycerol), sodium salt", "1,2-distearoyllecithin", "1,2-docosahexanoyl-sn-glycero-3-phosphoserine", "1,2-docosahexanoyl-sn-glycero-3-phosphoserine calcium", "1,2-hexanediol", "1,2-icosapentoyl-sn-glycero-3-phosphoserine", "1,2-icosapentoyl-sn-glycero-3-phosphoserine calcium", "1,2-naphthoquinone", "1,2-octanediol", "1,3,3,3-tetrafluoropropene, (1e)-", "1,3-butylene glycol", "1,3-dichloro-2-propanol", "1,3-dimethylbutyl salicylate", "1,3-dimethylol-5,5-dimethylhydantoin", "1,3-dimethylurea", "1,3-propanediol", "1,4-benzoquinone", "1,4-naphthoquinone", "1,4-sorbitan", "1,5-pentanediol", "1,6-hexamethylene diisocyanate", "1-(4-(4-chlorophenyl)-3-phenyl-2-butenyl)-pyrrolidine 1,5-naphthalenedisulfonate", "1-(c14-c18 esteroyl)-2-docosahexanoyl-sn-glycero-3-phosphocholine", "1-(c14-c18 esteroyl)-2-docosahexanoyl-sn-glycero-3-phosphoethanolamine", "1-alpha-vitamin d", "1-butanol", "1-butene", "1-butyl oleate", "1-decene", "1-eicosene", "1-ethyl-2-pyrrolecarboxaldehyde", "1-glyceryl monooleate", "1-hexadecene", "1-methyl-2-pyrrolidinone", "1-myristylpicolinium", "1-naphthalenesulfonic acid", "1-octacosanol", "1-octanesulfonic acid", "1-octanol", "1-palmitoyl-2-oleoyl-sn-glycero-3-(phospho-rac-(1-glycerol))", "1-palmitoyl-2-oleoyl-sn-glycero-3-(phospho-rac-(1-glycerol)), sodium salt", "1-phenylazo-2-naphthylamine", "1-propanaminium, 2-(acetyloxy)-3-carboxy-n,n,n-trimethyl-, inner salt, (2s)-", "1-propanol", "1-propoxy-2-propanol", "1-tetracosanol", "1-vinyl-2-pyrrolidone", "1.alpha.,24s-dihydroxyvitamin d2", "10-hydroxycapric acid", "10-hydroxydecanoate", "100 daytime pain relief (acetaminophen 500 MG Oral Tablet) / 100 nighttime pain relief (acetaminophen 500 MG / diphenhydrAMINE HCl 25 MG Oral Tablet) Pack", "12 FL OZ daytime (acetaminophen 325 MG / dextromethorphan HBr 10 MG / guaiFENesin 200 MG / phenylephrine HCl 5 MG per 15 ML Oral Solution) / 12 FL OZ nighttime ( acetaminophen 650 MG / dextromethorphan HBr 20 MG / doxylamine succinate 12.5 MG / phenylephrine HCl 10 MG per 30 ML Oral Solution) Pack", "12 nighttime (acetaminophen 325 mg / chlorpheniramine maleate 2 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg oral tablet ) / 12 daytime (acetaminophen 325 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg oral tablet) pack", "12-hydroxystearate", "12-hydroxystearic acid", "14 lamoTRIgine 100 MG 24 HR Extended Release Oral Tablet / 7 lamoTRIgine 200 MG 24 HR Extended Release Oral Tablet / 14 lamoTRIgine 50 MG 24 HR Extended Release Oral Tablet Pack", "16 nighttime (acetaminophen 325 MG / dextromethorphan HBr 10 MG / doxylamine succinate 6.25 MG / phenylephrine HCl 5 MG Oral Tablet) / 32 daytime (Acetaminophen 325 MG / dextromethorphan HBr 10 MG / guaiFENesin 200 MG / phenylephrine HCl 5 MG Oral Tablet) Pack", "169 ytterbium", "17-alpha-hydroxyprogesterone", "17-alpha-hydroxyprogesterone / estradiol", "2'-hydroxyacetophenone", "2,2'-dihydroxy-4,4'-dimethoxy-5,5'-disulfobenzophenone", "2,2'-dithiobisbenzothiazole", "2,2,2-trifluoroacetophenone", "2,2,4,4,6,8,8-heptamethylnonane", "2,2-bis(4-glycidyloxyphenyl)propane", "2,3-dimercapto-1-propanesulfonic acid", "2,4-dichlorophenoxyacetate", "2,4-dichlorophenoxyacetic acid, sodium salt", "2,5-di-tert-pentylhydroquinone", "2,5-diaminotoluene", "2,5-diaminotoluene sulfate", "2,5-dimethylbenzene-1-sulfonate", "2,5-dimethylisosorbide", "2,5-piperazinedione", "2,6-di-tert-butyl-4-((methylthio)methyl)phenol", "2,6-di-tert-butyl-4-methoxyphenol", "2,6-dimethyl-5-heptenal", "2-(2-(2-(2-phenoxyethoxy)ethoxy)ethoxy)ethanol", "2-(3-oxazolidinyl)ethyl methacrylate", "2-(4-(diethylamino)-2-hydroxybenzoyl)benzoic acid", "2-(bis(2-methylpropyl)phenoxy)-ethanol", "2-(l-menthoxy)ethanol", "2-acetyltributylcitrate", "2-amino-2-ethyl-1,3-propanediol", "2-amino-2-methyl-1-propanol", "2-amino-5-nitrothiazole", "2-benzylheptanol", "2-bromo-2-nitroethanol", "2-bromoergocryptine mesylate", "2-butanoyloxybenzoate", "2-butanoyloxybenzoic acid", "2-butyloctyl methacrylate", "2-diethylaminoethanol", "2-ethoxyethanol", "2-ethyl-1,6-hexanediol", "2-ethylaminoethanol", "2-ethylhexanoic acid", "2-ethylhexyl 4-phenylbenzophenone-2'-carboxylate", "2-ethylhexyl acrylate", "2-ethylhexyl benzoate", "2-ethylhexyl stearate", "2-hexenal propylene glycol acetal, (1e)-", "2-hydroxydecanoate", "2-hydroxydecanoic acid", "2-hydroxyethyl acrylate", "2-hydroxyethyl methacrylate", "2-mercaptobenzothiazole", "2-mercaptoethanesulfonic acid", "2-methyl-2-propylpropane-1,3-diol", "2-methyl-4-isothiazolin-3-one", "2-n-octyl-4-isothiazolin-3-one", "2-naphthalenesulfonate", "2-o-ethyl ascorbic acid", "2-octanol", "2-phenylphenol", "2-phenylphenol / chlorocresol / clorophene", "2-propoxy-1-propanol", "2-pyrrolidone", "2-sulfolaurate", "2-sulfopalmitate", "2-tert-butylhydroquinone", "21 lamoTRIgine 25 MG 24 HR Extended Release Oral Tablet / 7 lamoTRIgine 50 MG 24 HR Extended Release Oral Tablet Pack", "24-homo-1,25-dihydroxyvitamin d3", "3,3'-diindolylmethane", "3,4,9,10-perylenetetracarboxylic diimide", "3,7,11,15-tetramethyl-1,2,3-hexadecanetriol", "3,7-dimethyl-1-octanol", "3,7-dimethyloctanal", "3,7-dimethyloctane-1,7-diol", "3-((l-menthyl)oxy)propane-1,2-diol", "3-(3,4-methylenedioxyphenyl)-2-methylpropanal", "3-(triethoxysilyl)propylamine", "3-aminophenol", "3-bromocamphor, (+-)-", "3-butylphthalide", "3-dimethylaminopropylamine", "3-hexenyl acetate, (3z)-", "3-hydroxy-4-methoxybenzenesulfonate", "3-hydroxy-4-methoxybenzenesulfonic acid", "3-iodo-1-propanol", "3-iodo-2-propynylbutylcarbamate", "3-iodobenzylguanidine", "3-nonylphenol", "3-o-ethyl ascorbate", "3-o-ethylascorbic acid", "3-phytase b (aspergillus niger)", "300 pro la", "32 daytime (acetaminophen 325 mg / dextromethorphan hbr 10 mg / phenylephrine hcl 5 mg oral capsule) / 16 nighttime (acetaminophen 325 mg / dextromethorphan hydrobromide 15 mg / doxylamine succinate 6.25 mg oral capsule) pack", "32 daytime (acetaminophen 325 mg / phenylephrine hcl 5 mg oral capsule) and 16 nighttime (acetaminophen 325 mg / doxylamine succinate 6.25 mg / phenylephrine hcl 5 mg oral capsule)", "4 FL OZ (Brompheniramine Maleate 0.2 MG/ML / Dextromethorphan Hydrobromide 1 MG/ML / Phenylephrine Hydrochloride 0.5 MG/ML Oral Solution) / 4 FL OZ (diphenhydrAMINE Hydrochloride 1.25 MG/ML / Phenylephrine Hydrochloride 0.5 MG/ML Oral Solution) Pack", "4,4'-dinitrocarbanilide", "4,4-dimethyloxazolidine", "4,5-dichloro-2-octyl-3-isothiazolone", "4-((4,6-bis(octylthio)-1,3,5-triazin-2-yl)amino)-2,6-bis(1,1-dimethylethyl)-phenol", "4-(p-hydroxyphenyl)-2-butanone acetate", "4-allyl-2,6-dimethoxyphenol", "4-aminobenzoate", "4-aminobenzoate / salicylic acid", "4-aminobenzoic acid", "4-aminobenzoic acid / arginine", "4-aminobenzoic acid / methoxsalen", "4-aminobenzoic acid / salicylic acid", "4-aminohippuric acid", "4-aminomethylbenzoic acid", "4-aminophenol", "4-anisic acid", "4-butylresorcinol", "4-coumaric acid", "4-cresyl acetate", "4-cymene", "4-cymene / chlorproethazine", "4-dimethylaminophenol", "4-dimethylaminophenol hydrochloride", "4-hydroxy acetophenone", "4-hydroxy-2,5-dimethylfuran-2(3h)-one", "4-hydroxybenzoic acid", "4-hydroxybutyric acid", "4-methyl anisole", "4-methyl-1-(1-methylethyl)-3-cyclohexen-1-ol", "4-phenylbutyric acid", "4-phenylenediamine", "4-tert-butylcyclohexanol", "4-way", "4-way moisturizing", "4xla activator", "4xla base", "5-bromo-5-nitro-1,3-dioxane", "5-chloro-2-methyl-4-isothiazolin-3-one", "5-hydroxytryptophan", "5-hydroxytryptophan / magnesium oxide / melatonin / tryptophan / vitamin b6", "5-hydroxytryptophan / vitamin b6", "5-hydroxytryptophan, dl-", "5-methoxypsoralen", "5-methoxytryptamine", "5-methyl-8-hydroxyquinoline", "5-methyl-8-hydroxyquinoline / tilbroquinol", "5-methyltetrahydrofolic acid", "5-way calf scour bolus", "6 FL OZ Night Time (acetaminophen 650 MG / diphenhydrAMINE HCl 25 MG / phenylephrine HCl 10 MG per 20 ML Oral Solution) and 6 FL OZ Day Time (acetaminophen 650 MG / guaiFENesin 400 MG / phenylephrine HCl 10 MG per 20 ML Oral Solution) Pack", "6-aminocaproic acid", "6-o-palmitoylascorbic acid", "6-O-palmitoylascorbic acid / alpha Tocopherol / coenzyme Q10 / levOCARNitine", "60 second taste", "7 lamoTRIgine 100 MG 24 HR Extended Release Oral Tablet / 14 lamoTRIgine 25 MG 24 HR Extended Release Oral Tablet / 14 lamoTRIgine 50 MG 24 HR Extended Release Oral Tablet Pack", "7-behenoylstearate", "7-behenoylstearic acid", "7-dehydrocholesterol", "7-oxo-prasterone", "8-1 marvel aid", "8-epi-cyanocobalamin", "8-mop", "82 strontium", "85 strontium", "9,10-anthraquinone", "99 molybdenum", "a & l laboratories 10 mix 10", "a & l laboratories protect", "a+d diaper rash", "a+d original", "a-200 lice control", "a-25", "a-hydrocort", "a-methapred", "a-phedrin", "a.e.r. witch hazel", "aardora anti-fungal maximum strength", "abacavir", "abacavir / dolutegravir / lamiVUDine", "abacavir / lamiVUDine", "abacavir / lamiVUDine / Zidovudine", "abacavir sulfate", "abarelix", "abatacept", "abciximab", "abelcet", "abelmoschus esculentus seed extract", "abelmoschus moschatus seed extract", "abetimus", "abetimus sodium", "abies alba leaf oil", "abies alba leafy twig extract", "abies balsamea leaf oil", "abies sachalinensis var. sachalinensis oil", "abies sibirica leaf oil", "abilify", "abiraterone", "abiraterone acetate", "abobotulinumtoxina", "abraxane", "abreva", "abridge cold sore", "abridge maximum strength cold sore", "abrus precatorius seed extract", "absidia capillata allergenic extract", "absidia ramosa extract", "absorbine", "absorbine jr.", "absorbine jr. antifungal", "absorbine veterinary", "absorbine veterinary liniment", "absorica", "abstral", "abt-925", "abt-925 anhydrous free base", "acacia angustissima bark extract", "acacia baileyana pollen extract", "acacia catechu bark extract", "acacia catechu whole extract", "acacia dealbata flower extract", "acacia decurrens extract", "acacia decurrens flower wax", "acacia longifolia pollen extract", "acacia pollen extract", "acacia senegal flower extract", "acai berry extract", "acai extract", "acai fruit pulp", "acai oil", "acalypha indica extract", "acam2000", "acamprosate", "acamprosate calcium", "acanya", "acarbose", "acarexx", "accolate", "accuneb", "accupril", "accuretic", "accuzyme", "acebutolol", "acebutolol / hydrochlorothiazide", "acebutolol / mefruside", "Acebutolol / NIFEdipine", "acebutolol hydrochloride", "acecarbromal", "aceclofenac", "aceglutamide", "aceglutamide aluminum", "acellular pertussis vaccine, inactivated", "acellular pertussis vaccine, inactivated / diphtheria toxoid vaccine, inactivated / haemophilus influenzae type b, capsular polysaccharide inactivated tetanus toxoid conjugate vaccine / poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett) / tetanus toxoid vaccine, inactivated", "acellular pertussis vaccine, inactivated / diphtheria toxoid vaccine, inactivated / hepatitis b surface antigen vaccine / poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett) / tetanus toxoid vaccine, inactivated", "acellular pertussis vaccine, inactivated / diphtheria toxoid vaccine, inactivated / poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett) / tetanus toxoid vaccine, inactivated", "acellular pertussis vaccine, inactivated / diphtheria toxoid vaccine, inactivated / tetanus toxoid vaccine, inactivated", "acemannan", "acemetacin", "acemetacin / chlorzoxazone", "acenocoumarol", "aceon", "acephen", "acepromazine", "acepromazine / aceprometazine / clorazepic acid", "acepromazine maleate", "aceprometazine", "aceprometazine / meprobamate", "acer saccharinum whole extract", "acer saccharum bark-sap extract", "acer saccharum sap extract", "acer saccharum whole extract", "acesulfame", "acesulfame potassium", "acetadote", "acetadrink", "acetadryl", "acetaldehyde", "acetamidopropyl trimonium", "acetamidopropyl trimonium chloride", "acetaminophen", "acetaminophen / adiphenine", "acetaminophen / aluminum acetate / chlorpheniramine / phenylpropanolamine", "acetaminophen / ambroxol / oxatomide", "acetaminophen / antipyrine / caffeine", "acetaminophen / ascorbic acid / caffeine / chlorpheniramine / phenylephrine", "acetaminophen / ascorbic acid / eucalyptol", "acetaminophen / ascorbic acid / phenylephrine", "acetaminophen / aspirin", "acetaminophen / aspirin / caffeine", "acetaminophen / aspirin / caffeine / calcium gluconate", "acetaminophen / aspirin / caffeine / codeine", "acetaminophen / aspirin / caffeine / codeine / salicylamide", "Acetaminophen / Aspirin / Caffeine / HYDROcodone", "acetaminophen / aspirin / caffeine / salicylamide", "acetaminophen / aspirin / codeine", "Acetaminophen / Aspirin / diphenhydrAMINE", "acetaminophen / aspirin / phenylpropanolamine", "acetaminophen / aspirin / salicylamide", "acetaminophen / astemizole / phenylephrine", "acetaminophen / atropine / chlorpheniramine / phenylephrine", "acetaminophen / atropine / ethaverine / salicylamide", "acetaminophen / benzydamine / tetracycline", "acetaminophen / bromelains", "acetaminophen / brompheniramine", "acetaminophen / brompheniramine / dextromethorphan / pseudoephedrine", "acetaminophen / brompheniramine / phenylpropanolamine", "acetaminophen / brompheniramine / pseudoephedrine", "acetaminophen / buclizine", "acetaminophen / butabarbital", "acetaminophen / butalbital", "acetaminophen / butalbital / caffeine", "acetaminophen / butalbital / caffeine / codeine", "Acetaminophen / butalbital / Caffeine / HYDROcodone", "acetaminophen / butalbital / codeine", "acetaminophen / caffeine", "acetaminophen / caffeine / chlorpheniramine", "Acetaminophen / Caffeine / Chlorpheniramine / guaiFENesin / N-methylephedrine", "Acetaminophen / Caffeine / Chlorpheniramine / HYDROcodone / Phenylephrine", "acetaminophen / caffeine / chlorpheniramine / phenylephrine", "acetaminophen / caffeine / chlorpheniramine / phenylephrine / pyrilamine", "acetaminophen / caffeine / chlorpheniramine / phenylpropanolamine", "acetaminophen / caffeine / chlorpheniramine / pseudoephedrine", "acetaminophen / caffeine / codeine", "acetaminophen / caffeine / codeine / meprobamate", "acetaminophen / caffeine / codeine / salicylamide", "acetaminophen / caffeine / dihydrocodeine", "Acetaminophen / Caffeine / guaiFENesin / Phenylephrine", "acetaminophen / caffeine / homatropine", "acetaminophen / caffeine / hyoscyamus extract", "acetaminophen / caffeine / isometheptene", "acetaminophen / caffeine / magnesium salicylate", "acetaminophen / caffeine / magnesium salicylate / phenyltoloxamine", "acetaminophen / caffeine / pamabrom / vitamin b6", "acetaminophen / caffeine / phenylephrine", "acetaminophen / caffeine / phenylpropanolamine / pyrilamine", "acetaminophen / caffeine / phenylpropanolamine / salicylamide", "acetaminophen / caffeine / phenyltoloxamine", "acetaminophen / caffeine / phenyltoloxamine / salicylamide", "acetaminophen / caffeine / phenyltoloxamine / salicylic acid", "acetaminophen / caffeine / pyrilamine", "acetaminophen / caffeine / salicylamide", "acetaminophen / caffeine / salicylic acid", "acetaminophen / calcium carbonate", "acetaminophen / calcium carbonate / magnesium carbonate / magnesium oxide", "acetaminophen / carbidopa", "acetaminophen / carbinoxamine / phenylpropanolamine", "acetaminophen / carisoprodol", "acetaminophen / chlophedianol / pyrilamine", "acetaminophen / chlormezanone", "acetaminophen / chlorpheniramine", "acetaminophen / chlorpheniramine / codeine", "acetaminophen / chlorpheniramine / codeine / phenylephrine", "acetaminophen / chlorpheniramine / codeine / pseudoephedrine", "acetaminophen / chlorpheniramine / dextromethorphan", "acetaminophen / chlorpheniramine / dextromethorphan / phenylephrine", "acetaminophen / chlorpheniramine / dextromethorphan / phenylpropanolamine", "acetaminophen / chlorpheniramine / dextromethorphan / pseudoephedrine", "Acetaminophen / Chlorpheniramine / diphenhydrAMINE / Pseudoephedrine", "Acetaminophen / Chlorpheniramine / guaiFENesin", "Acetaminophen / Chlorpheniramine / guaiFENesin / Phenylpropanolamine", "acetaminophen / chlorpheniramine / phenylephrine", "acetaminophen / chlorpheniramine / phenylephrine / phenylpropanolamine / pyrilamine", "acetaminophen / chlorpheniramine / phenylephrine / phenyltoloxamine", "acetaminophen / chlorpheniramine / phenylephrine / pyrilamine", "acetaminophen / chlorpheniramine / phenylephrine / salicylamide", "acetaminophen / chlorpheniramine / phenylpropanolamine", "acetaminophen / chlorpheniramine / phenylpropanolamine / phenyltoloxamine", "acetaminophen / chlorpheniramine / phenylpropanolamine / salicylamide", "acetaminophen / chlorpheniramine / pseudoephedrine", "acetaminophen / chlorpheniramine / salicylamide", "acetaminophen / chlorphenoxamine / phenylephrine", "acetaminophen / chlorzoxazone", "acetaminophen / cinnamedrine / pamabrom", "acetaminophen / cinnamedrine / pamabrom / pyrilamine", "acetaminophen / clemastine / phenylpropanolamine", "acetaminophen / clemastine / pseudoephedrine", "acetaminophen / codeine", "Acetaminophen / Codeine / guaiFENesin / Phenylephrine", "Acetaminophen / Codeine / guaiFENesin / Phenylpropanolamine", "Acetaminophen / Codeine / guaiFENesin / Pseudoephedrine", "acetaminophen / codeine / ibuprofen", "acetaminophen / codeine / magnesium salicylate / phenyltoloxamine", "acetaminophen / codeine / pseudoephedrine", "acetaminophen / dexbrompheniramine", "acetaminophen / dexbrompheniramine / phenylephrine", "acetaminophen / dexbrompheniramine / pseudoephedrine", "acetaminophen / dexchlorpheniramine / pseudoephedrine", "acetaminophen / dextromethorphan", "Acetaminophen / Dextromethorphan / diphenhydrAMINE", "Acetaminophen / Dextromethorphan / diphenhydrAMINE / guaiFENesin / Phenylephrine", "Acetaminophen / Dextromethorphan / diphenhydrAMINE / Phenylephrine", "Acetaminophen / Dextromethorphan / diphenhydrAMINE / Pseudoephedrine", "acetaminophen / dextromethorphan / doxylamine", "acetaminophen / dextromethorphan / doxylamine / phenylephrine", "acetaminophen / dextromethorphan / doxylamine / pseudoephedrine", "Acetaminophen / Dextromethorphan / guaiFENesin", "Acetaminophen / Dextromethorphan / guaiFENesin / Phenylephrine", "Acetaminophen / Dextromethorphan / guaiFENesin / Phenylpropanolamine", "Acetaminophen / Dextromethorphan / guaiFENesin / Pseudoephedrine", "acetaminophen / dextromethorphan / phenylephrine", "acetaminophen / dextromethorphan / phenylephrine / pyrilamine", "acetaminophen / dextromethorphan / phenylpropanolamine", "acetaminophen / dextromethorphan / pseudoephedrine", "acetaminophen / dextromethorphan / pseudoephedrine / pyrilamine", "acetaminophen / dichloralphenazone / isometheptene", "acetaminophen / diclofenac", "acetaminophen / dihydrocodeine", "acetaminophen / dihydrocodeine / salicylamide", "acetaminophen / dihydroergotamine", "Acetaminophen / dimenhyDRINATE", "Acetaminophen / diphenhydrAMINE", "Acetaminophen / diphenhydrAMINE / guaiFENesin / Phenylephrine", "Acetaminophen / diphenhydrAMINE / Phenylephrine", "Acetaminophen / diphenhydrAMINE / Phenylpropanolamine", "Acetaminophen / diphenhydrAMINE / Pseudoephedrine", "acetaminophen / dipyrone", "acetaminophen / domperidone", "acetaminophen / doxylamine", "acetaminophen / doxylamine / phenylephrine", "acetaminophen / doxylamine / pseudoephedrine", "acetaminophen / doxylamine / salicylamide", "acetaminophen / fursultiamin", "Acetaminophen / guaiFENesin", "Acetaminophen / guaiFENesin / Phenylephrine", "Acetaminophen / guaiFENesin / Pseudoephedrine", "Acetaminophen / HYDROcodone", "acetaminophen / ibuprofen", "acetaminophen / isometheptene", "acetaminophen / ketoprofen", "acetaminophen / loratadine / pseudoephedrine", "acetaminophen / magnesium salicylate", "acetaminophen / magnesium salicylate / pamabrom", "acetaminophen / melatonin", "acetaminophen / meperidine", "acetaminophen / mephenesin", "acetaminophen / meprobamate", "acetaminophen / methionine", "acetaminophen / methocarbamol", "acetaminophen / metoclopramide", "acetaminophen / naproxen", "acetaminophen / orphenadrine", "acetaminophen / oxatomide / phenylephrine", "Acetaminophen / oxyCODONE", "acetaminophen / pamabrom", "acetaminophen / pamabrom / pyrilamine", "acetaminophen / pamabrom / vitamin b6", "acetaminophen / pamabrom / vitamin e", "acetaminophen / pentazocine", "acetaminophen / pheniramine / phenylephrine", "Acetaminophen / PHENobarbital", "acetaminophen / phenylephrine", "acetaminophen / phenylephrine / phenyltoloxamine", "acetaminophen / phenylephrine / pyrilamine", "acetaminophen / phenylephrine / terfenadine", "acetaminophen / phenylpropanolamine", "acetaminophen / phenylpropanolamine / phenyltoloxamine", "acetaminophen / phenyltoloxamine", "acetaminophen / phenyltoloxamine / salicylamide", "acetaminophen / piroxicam", "acetaminophen / promethazine", "acetaminophen / propoxyphene", "acetaminophen / propyphenazone", "acetaminophen / pseudoephedrine", "acetaminophen / pseudoephedrine / triprolidine", "acetaminophen / pyrilamine", "acetaminophen / racemethionine", "acetaminophen / salicylamide", "acetaminophen / salicylic acid", "acetaminophen / scopolamine", "acetaminophen / styramate", "acetaminophen / thiamine", "acetaminophen / thiocolchicoside", "acetaminophen / tolperisone", "Acetaminophen / traMADol", "acetanilide", "acetanilide / Aspirin / Caffeine / ePHEDrine", "acetasol hc", "acetate", "acetate / cysteine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / sodium bisulfite / sodium chloride / threonine / tryptophan / valine", "acetaZOLAMIDE", "acetaZOLAMIDE sodium", "acetiamine", "acetiamine / aspirin", "acetiamine hcl", "acetic acid", "acetic acid / aluminum acetate", "acetic acid / aluminum sulfate", "acetic acid / antipyrine / benzocaine", "acetic acid / antipyrine / benzocaine / policosanol", "acetic acid / benzocaine", "acetic acid / chlorhexidine / ketoconazole", "acetic acid / desonide", "acetic acid / glycerin / oxyquinoline / ricinoleate", "acetic acid / hydrocortisone", "acetic acid / oxyquinoline", "acetic acid / oxyquinoline / ricinoleate", "acetic acid / pyrethrins", "acetic acid / salicylic acid", "acetic anhydride", "acetic monoethanolamide", "acetoHEXAMIDE", "acetohydroxamic acid", "acetone", "acetone / ethanol", "acetone / isopropyl alcohol / polysorbate 80", "acetone / tea tree oil", "acetone sodium bisulfite", "acetophenazine", "acetophenazine maleate", "acetoxolone", "acetoxolone aluminum", "acetyl carboxymethyl cocoyl glycine", "acetyl coenzyme a", "acetyl dipeptide-1 cetyl ester", "acetyl hexapeptide-8", "acetyl octapeptide-3", "acetyl salicylate", "acetyl sulfiSOXAZOLE", "acetyl tetrapeptide-9", "acetyl triethylhexyl citrate", "acetylated lanolin alcohols", "acetylated sucrose distearate", "acetylcarnitine", "acetylcarnitine / carnosine / coenzyme q10", "acetylcarnitine / thioctate", "acetylcarnitine / tyrosine", "acetylcarnitine hydrochloride", "acetylcarnitine hydrochloride, dl-", "acetylcarnitine, dl-", "acetylcellulose", "acetylcholine", "acetylcholine chloride", "acetylcholinesterase", "acetylcholinesterase human", "acetylcysteine", "acetylcysteine / cefuroxime", "acetylcysteine / l-methylfolate / mecobalamin", "acetylcysteine amide", "acetylcysteine sodium", "acetylcysteine zinc", "acetyldigitoxin", "acetyldigoxins", "acetylene", "acetylene / nitrogen / oxygen", "acetylglucosamine", "acetylmandelic acid, (+)-", "acetylsalicylate sodium", "acetyltriethyl citrate", "acetyltryptophanate", "acexamic acid", "acexamic acid / cetrimonium", "acexamic acid / chlorhexidine", "acexamic acid / gentamicin sulfate (usp)", "acexamic acid / neomycin", "achillea millefolium extract", "achromycin v", "achyranthes bidentata root extract", "achyranthes japonica whole extract", "achyrocline satureioides extract", "acid black 52", "acid gone", "acid jelly", "acid violet 43", "acidulated phosphate fluoride", "aciphex", "acipimox", "acitretin", "aclaro", "aclarubicin", "aclidinium", "aclidinium bromide", "aclovate", "acmella oleracea flower extract", "acmella oleracea flowering top extract", "acmella oleracea whole extract", "acne-clear", "acneclir", "acnefree bp", "acnefree sa", "acnefree sensitive kit (2 fl oz acnefree bp 3 % topical lotion / 4 fl oz acnefree sa 1.5 % medicated liquid soap pack)", "acnevir", "acneworx", "acnomel", "acnotex", "aconitate", "aconite", "aconite / codeine / erysimum preparation", "aconite / lactose", "aconitic acid", "aconitic acid, (z)-", "aconitine", "aconitum carmichaelii root extract", "aconitum ferox root extract", "aconitum kusnezoffi root extract", "aconitum lycoctonum extract", "aconitum napellus extract", "aconitum napellus root extract", "acorus calamus extract", "acorus calamus root extract", "acorus gramineus root extract", "acpuris intensive spot treatment", "acremonium strictum allergenic extract", "acriflavine", "acriflavine / benzocaine", "acriflavine / gentian violet / sodium propionate", "acriflavine hydrochloride", "acrisorcin", "acrivastine", "acrivastine / pseudoephedrine", "acrothecium robustum allergenic extract", "acrylamide", "acrylate", "acrylic acid", "acrylic acid-sodium acrylate copolymer (1:1; 600 mpa.s at 0.2%)", "acrylic acid/isophorone diisocyanate/peg-27 copolymer", "acryloyldimethyltaurate", "acryloyldimethyltaurate-acrylamide copolymer", "act advanced care", "act fluoride rinse", "actaea cimicifuga root extract", "actaea dahurica root extract", "actaea racemosa whole extract", "actaea spicata root extract", "actamin", "actemra", "acthar", "acthib", "acthrel", "acticin", "acticlate", "actidose", "actifed cold & allergy", "actigall", "actimmune", "actinidia chinensis root extract", "actinidia chinensis seed extract", "actinidia chinensis whole extract", "actinidia polygama fruit extract", "actiq", "activase", "activated attapulgite", "activated charcoal", "activated charcoal / bile salts / pancreatin", "activated charcoal / calcium carbonate", "activated charcoal / magnesium hydroxide", "activated charcoal / methenamine", "activated charcoal / papaverine", "activated charcoal / salicylic acid / sulfur", "activated charcoal / simethicone", "activated charcoal / sorbitol", "active q", "activella 0.5/0.1 28 day pack", "activella 1/0.5 28 day pack", "activeoxy", "activon arthritis", "activon joint & muscle", "actonel", "actonel 35 12-week once weekly dosepack", "actonel 35 4-week once weekly dosepack", "actonel with calcium 28 day pack", "actoplus met", "actos", "actron", "acuguard", "acular", "acuvail", "acv tripeptide", "acyclovir", "acyclovir / hydrocortisone", "acyclovir / lidocaine", "acyclovir sodium", "aczone", "adacel", "adagen", "adalat", "adalimumab", "adansonia digiata whole extract", "adansonia digitata fruit extract", "adansonia digitata leaf extract", "adansonia digitata seed extract", "adansonia digitata seed oil", "adapalene", "adapalene / benzoyl peroxide", "adapalene / clindamycin", "adapalene / diclofenac / tamoxifen", "adasuve", "adcetris", "adcirca", "addaprin", "adderall", "addyi", "adefovir", "adefovir dipivoxil", "adempas", "adenine", "adenine / glucose", "adenocard", "adenophora stricta root extract", "adenoscan", "adenosine", "adenosine / niacinamide", "adenosine monophosphate", "adenosine phosphate disodium", "adenosine triphosphate", "adenosine triphosphate / vitamin b6", "adenosine triphosphate disodium", "adenovirus type 4 vaccine live", "adenovirus type 7 vaccine live", "adequan", "adiantum capillus-veneris leaf extract", "adiastatic barley malt extract", "adipex-p", "adiphenine", "adiphenine / PHENobarbital", "adiphenine hcl", "adipic acid", "adipic acid / ammonium", "adipic acid-diglycol crosspolymer (20000 mpa.s)", "ado-trastuzumab emtansine", "adonis vernalis extract", "adonis vernalis flowering top extract", "adoxa", "adoxa 2/100 60 count pack", "adoxa pak 1/100 31 count pack", "adoxa pak 1/150", "adoxa pak 1/75 mg", "adrafinil", "adrenaclick", "adrenal cortex extract", "adrenal cortex extract / rosemary oil", "adrenalin", "adrenalone", "adrenalone / tetracaine", "adrenalone hydrochloride", "adrenocorticotropin (acth 1-18),i-125 (tyr)", "adriamycin", "adrucil", "advair", "advanced eye relief redness instant relief", "advanced zinc-oxyde plus ointment", "advantage multi", "advantame", "advate", "advicor", "advil", "advil children's cold", "advil cold and sinus", "advil congestion relief", "advil pm", "advil pm liqui gels", "advil sinus congestion and pain", "advocin", "aero florafree", "aerobid", "aerohist", "aerospan", "aesculus carnea flower extract", "aesculus glabra nut extract", "aesculus hippocastanum bark extract", "aesculus hippocastanum flower extract", "aesculus hippocastanum leaf extract", "aesculus hippocastanum seed oil", "aethusa cynapium extract", "afatinib", "afatinib dimaleate", "afeditab cr", "afinitor", "aflibercept", "afluria 2009-2010 formula", "afluria 2014-2015 formula", "afluria 2015-2016", "afoxolaner", "aframomum angustifolium seed extract", "afrezza", "afrezza 90 cartridge pack - 30 (4 unt), 60 (8 unt)", "afrezza 90 cartridge pack - 60 (4 unt), 30 (8 unt)", "afrezza 90 cartridge pack - 60 (8 unt), 30 (12 unt)", "african formula skin lightening", "african pygeum extract", "african pygeum extract / bearberry preparation / pumpkin seed oil / saw palmetto extract", "african pygeum extract / stinging nettle extract", "afrin", "afrin nasal", "aftate", "after bite", "after bite plus", "aftera", "afterpill", "agalsidase beta", "agar", "agar / mineral oil / phenolphthalein", "agaric acid", "agaricus campestris var. campestris whole extract", "agaricus subrufescens extract", "agarum clathratum extract", "agathosma betulina leaf extract", "agave americana leaf extract", "agave tequilana leaf extract", "agave tequilana top extract", "aggrastat", "aggrenox", "agkistrodon contortrix venom", "agkistrodon piscivorus antivenin", "agkistrodon piscivorus antivenin / crotalus adamanteus antivenin / crotalus atrox antivenin / crotalus scutulatus antivenin", "agri-cillin", "agri-mectin", "agrimectin", "agrimonia eupatoria extract", "agrimonia eupatoria flower extract", "agrimonia eupatoria flowering top extract", "agrimonia pilosa whole extract", "agropyron fragile whole extract", "agrostemma githago seed extract", "agrostis gigantea top extract", "agrylin", "ahist antihistamine", "ahnfeltiopsis concinna extract", "ailanthus altissima flowering twig extract", "aim", "ainsliaea fragrans top extract", "air", "airacof", "airmit", "aji pepper extract", "ajmalicine", "ajmalicine / almitrine", "ajmaline", "ajmaline / almitrine", "ajmaline / dihydroergocristine", "ajuga reptans whole extract", "ajuga turkestanica top extract", "ak-con", "ak-con-a", "ak-pentolate", "akineton", "aknemycin", "aknetrol", "akten", "akwa tears", "akynzeo", "ala seb", "ala-cort", "ala-hist ac", "ala-hist ir", "ala-hist pe", "ala-quin", "ala-scalp", "alamag plus", "alanine", "alanine / arginine / aspartate / calcium chloride / dibasic potassium phosphate / glucose / glutamate / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / potassium chloride / proline / serine / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / cysteine / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / sodium acetate / sodium chloride / sodium metabisulfite / taurine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / cysteine / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / taurine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glucose / glutamate / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / potassium chloride / proline / serine / sodium chloride / sodium phosphate / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glucose / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / n-acetyltyrosine / phenylalanine / proline / serine / threonine / tryptophan / valine", "alanine / arginine / aspartate / glucose / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glutamate / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / potassium chloride / proline / serine / sodium chloride / sodium phosphate, dibasic / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / sodium metabisulfite / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / taurine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / aspartate / glutamate / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / calcium acetate / cysteine / glycerin / glycine / histidine / isoleucine / leucine / lysine / magnesium acetate / methionine / phenylalanine / phosphoric acid / potassium chloride / proline / serine / sodium acetate / sodium chloride / threonine / tryptophan / valine", "alanine / arginine / calcium chloride / dibasic potassium phosphate / glucose / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / proline / serine / sodium acetate trihydrate / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / calcium chloride / dibasic potassium phosphate / glucose / glycine / histidine / isoleucine / leucine / magnesium chloride / methionine / phenylalanine / proline / serine / sodium acetate trihydrate / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / cysteine / glycine / histidine / isoleucine / leucine / lysine / magnesium acetate / methionine / phenylalanine / phosphoric acid / potassium chloride / proline / serine / sodium acetate / sodium chloride / threonine / tyrosine / valine", "alanine / arginine / cysteine / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / phosphoric acid / proline / serine / sodium bisulfite / threonine / tryptophan / valine", "alanine / arginine / cysteine / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / phosphoric acid / proline / serine / threonine / tryptophan / valine", "alanine / arginine / cysteine / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / threonine / tryptophan / valine", "alanine / arginine / cysteine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / phosphoric acid / proline / serine / threonine / tryptophan / valine", "alanine / arginine / dibasic potassium phosphate / glucose / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / proline / sodium acetate / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / dibasic potassium phosphate / glucose / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / dibasic potassium phosphate / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / proline / sodium acetate / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glucose / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glucose / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glycine / histidine / isoleucine / leucine / lysine / magnesium acetate / methionine / phenylalanine / phosphoric acid / potassium acetate / proline / serine / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / potassium chloride / proline / serine / sodium chloride / sodium phosphate / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / potassium chloride / proline / serine / sodium chloride / sodium phosphate, dibasic / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glycine / histidine / isoleucine / leucine / lysine / magnesium chloride / methionine / phenylalanine / sodium acetate / sodium chloride / threonine / tryptophan / tyrosine / valine", "alanine / arginine / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / proline / serine / threonine / tryptophan / tyrosine / valine", "alanine / cysteine / glycine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / phosphoric acid / proline / serine / threonine / tryptophan / valine", "alanine / glutamate / glycine", "alanine / glutamate / glycine / thiamine", "alanine, dl-", "alanylglutamine", "alaria esculenta extract", "alatrofloxacin", "alatrofloxacin mesylate", "alavert", "alavert d", "alaway", "alba natural acnedote", "albadry", "albendazole", "albenza", "albiglutide", "albizia julibrissin bark extract", "albon", "albuked", "albumin human, usp", "albumin microspheres, human", "albumin,aggregated", "albumin,aggregated / stannous chloride / tin", "albumin,chromated cr-51 serum", "albumin,iodinated i-125 serum", "albumin,iodinated i-131 serum", "albumin,microsphere human serum", "albumin-alpine", "albuminar-20", "albuminar-25", "albuminar-5", "alburx", "albutein", "albuterol", "albuterol / ambroxol", "albuterol / beclomethasone", "albuterol / cromolyn", "Albuterol / guaiFENesin", "albuterol / ipratropium", "albuterol / ketotifen / theophylline", "albuterol sulfate", "alcaftadine", "alcaine", "alcaligenes faecalis", "alcea rosea flower extract", "alchemilla xanthochlora flowering top extract", "alclometasone", "alclometasone dipropionate", "alcloxa", "alcloxa / chloroxylenol", "alcohol, x-ray exposed (1000 rad)", "alcortin", "alcortin a", "alcuronium", "alcuronium chloride", "aldactazide", "aldactone", "aldara", "aldesleukin", "aldex", "aldex an", "aldex ct", "aldex gs", "aldioxa", "aldioxa / chloroxylenol", "aldosterone", "aldroxicon", "aldurazyme", "alefacept", "alemtuzumab", "alendronate", "alendronate / cholecalciferol", "alendronate sodium", "alendronic acid", "alera", "alert brand of caffeine", "alesse 28 day pack", "aletris farinosa root extract", "alevazol", "aleve", "aleve pm", "aleve sinus & headache", "aleve-d", "alexitol sodium", "alfacalcidol", "alfalfa oil", "alfalfa pollen extract", "alfalfa preparation", "alfalfa preparation / chlorophyll", "alfalfa seed extract", "alfalfa top extract", "alfaxalone", "alfenta", "alfentanil", "alfentanil hydrochloride", "alferon n", "alfuzosin", "alfuzosin hydrochloride", "algal fungi allergenic extract", "algal-900", "algestone", "algestone / estradiol", "alginate", "alginic acid", "alginic acid / aluminum hydroxide", "alginic acid / aluminum hydroxide / magnesium carbonate", "alginic acid / calcium carbonate", "alginic acid / calcium carbonate / magnesium carbonate", "alginic acid / calcium carbonate / magnesium trisilicate / sodium bicarbonate", "alginic acid / carboxymethylcellulose", "alginic acid / cimetidine", "alginic acid / magnesium carbonate", "alginic acid / potassium bicarbonate", "alginic acid / sodium bicarbonate", "alginic acid / zinc gluconate", "alglucerase", "alglucosidase alfa", "alibendol", "aliclen", "align", "alimta", "alinia", "alirocumab", "aliskiren", "aliskiren / amLODIPine", "aliskiren / amLODIPine / Hydrochlorothiazide", "aliskiren / hydrochlorothiazide", "aliskiren / valsartan", "aliskiren hemifumarate", "alisma plantago-aquatica subsp. orientale root extract", "alisma plantago-aquatica top extract", "alisma plantago-aquatica whole extract", "alitretinoin", "alizapride", "alka-mints", "alka-seltzer", "alka-seltzer anti-gas", "alka-seltzer cold and sinus", "alka-seltzer fruit chews", "alka-seltzer gold", "alka-seltzer heartburn plus gas relief", "alka-seltzer heartburn relief", "alka-seltzer morning relief", "alka-seltzer plus allergy", "alka-seltzer plus cold and sinus", "alka-seltzer plus mucus and congestion", "alka-seltzer pm", "alkali blite pollen extract", "alkeran", "alkums", "alkyl (c12-15) benzoate", "all clear", "all-trans-retinol", "allantoin", "allantoin / aminacrine / sulfanilamide", "Allantoin / Aminacrine / sulfiSOXAZOLE", "allantoin / benzalkonium", "allantoin / benzalkonium / benzyl alcohol", "allantoin / benzalkonium / lidocaine", "allantoin / benzethonium", "allantoin / benzocaine", "allantoin / benzocaine / camphor / dimethicone / petrolatum", "allantoin / benzocaine / camphor / petrolatum", "allantoin / benzocaine / dimethicone / petrolatum", "allantoin / camphor / hexylresorcinol / menthol", "allantoin / camphor / menthol", "allantoin / camphor / menthol / phenol", "allantoin / camphor / phenol", "allantoin / chlorocresol / neomycin", "allantoin / chloroxylenol", "allantoin / clioquinol / phenol", "allantoin / coal tar", "allantoin / coal tar / lactate", "allantoin / colloidal oatmeal", "allantoin / dimethicone", "allantoin / dimethicone / menthol", "Allantoin / diphenhydrAMINE", "allantoin / dyclonine", "allantoin / glycerin", "allantoin / hexachlorophene / squalene", "allantoin / ichthammol", "allantoin / lidocaine", "allantoin / lidocaine / petrolatum", "allantoin / menthol", "allantoin / petrolatum", "allantoin / petrolatum / zinc oxide", "allantoin / pramoxine", "Allantoin / sulfADIAZINE", "allantoin / thymol", "allantoin / zinc oxide", "allegra", "allegra cooling relief anti-itch", "allegra-d", "allent", "aller-chlor", "aller-tec", "aller-tec d", "allercaine", "allerclear", "allerest", "allerest 12 hour nasal spray", "allerest no drowsiness", "allerest pe", "allergenic extract, bee", "allergenic extract, birch", "allergenic extract, california hazelnut pollen", "allergenic extract, california live oak", "allergenic extract, common mugwort", "allergenic extract, cottonwood, western", "allergenic extract, curvularia lunata mold", "allergenic extract, dust, autogenous", "allergenic extract, false ragweed pollen", "allergenic extract, grass, brome", "allergenic extract, grass, johnson", "allergenic extract, grass, kentucky blue", "allergenic extract, grass, orchard", "allergenic extract, grass, sweet vernal", "allergenic extract, hickory", "allergenic extract, hormodendrum hordei", "allergenic extract, lamb quarters", "allergenic extract, maple", "allergenic extract, mesquite", "allergenic extract, mountain cedar", "allergenic extract, mucor racemosus mold", "allergenic extract, oak", "allergenic extract, olive", "allergenic extract, penicillin", "allergenic extract, phoma betae mold", "allergenic extract, pigweed, rough", "allergenic extract, pigweed, spiny, pollen", "allergenic extract, plantain, english", "allergenic extract, poplar", "allergenic extract, populus alba, p. deltoides", "allergenic extract, ragweed stock pollen", "allergenic extract, rye grass perennial", "allergenic extract, scale mix", "allergenic extract, sheep sorrel", "allergenic extract, sheep wool", "allergenic extract, short ragweed, alternaria", "allergenic extract, stemphyllum botryosum mold", "allergenic extract, stinging insect", "allergenic extract, sycamore", "allergenic extract, thistle, russian", "allergenic extract, wasp", "allergenic extract, weed, careless", "allergenic extract, weed, west mix", "allergenic extract, western ragweed", "allergenic extract,agaricus campestris", "allergenic extract,calvatia cyathiformis", "allergenic extract,cladosporium cladosporis", "allergenic extract,coprinus micaceus", "allergenic extract,fuligo septica", "allergenic extract,lycoperdon pyriforme", "allergenic extract,penicillium frequentans", "allergenic extract,yellow jacket", "allerhist-1", "allermax", "allernaze", "alleroff", "allethrin", "allfen c", "allfen cd", "allfen cdx", "allfen cx", "allfen dm reformulated jul 2008", "allfen jr", "alli", "allium cepa whole extract", "allium fistulosum bulb extract", "allium sativum whole extract", "allobarbital", "allobarbital / aminopyrine", "alloin", "alloin / apiole / ergot preparation", "alloin / phenolphthalein", "allopurinol", "allopurinol / benzbromarone", "allopurinol / colchicine", "allopurinol / probenecid", "allopurinol sodium", "allscale pollen extract", "allspice allergenic extract", "allura red ac dye", "allyl methacrylate/glycol dimethacrylate crosspolymer", "allyl sucrose", "allyl sulfide", "allylestrenol", "allylthiourea", "almacone", "alminoprofen", "almitrine", "almitrine dimesylate", "almond allergenic extract", "almond oil", "almotriptan", "almotriptan malate", "alnus glutinosa bark extract", "alnus serrulata bark extract", "alo", "alocane plus", "alocril", "alodox", "aloe andongensis leaf extract", "aloe arborescens leaf extract", "aloe extract", "aloe extract / buckthorn preparation / phenolphthalein", "aloe extract / cascara sagrada", "aloe extract / phenolphthalein", "aloe extract / sennosides, usp", "aloe ferox leaf preparation", "aloe polysaccharide", "aloe polysaccharide / hydrocortisone / iodoquinol", "aloe polysaccharide / iodoquinol", "aloe vera flower extract", "aloe vera leaf extract", "aloe vera preparation", "aloe vera preparation / dexpanthenol", "aloe vera preparation / urea", "aloe vera whole extract", "aloe vesta antifungal", "aloe vesta daily moisturizer", "aloe vesta protective barrier", "aloe vesta skin conditioner", "aloe-dip", "aloeguard", "aloemint", "aloetouch", "alogliptin", "alogliptin / metFORMIN", "alogliptin / pioglitazone", "alogliptin benzoate", "aloglutamol", "alomide", "alophen reformulated jan 2008", "aloprim", "aloquin", "alora", "alosetron", "alosetron hydrochloride", "aloxi", "aloxiprin", "alpha 1-antitrypsin", "alpha 1-proteinase inhibitor, human", "alpha e", "alpha hydroxy acids", "alpha hydroxy acids / urea", "alpha tocopherol", "alpha tocopherol / ascorbic acid / beta carotene / calcium carbonate / cholecalciferol / cupric oxide / ferrous bisglycinate / folic acid / iron protein succinylate / magnesium oxide / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12 / zinc oxide", "alpha tocopherol / ascorbic acid / beta carotene / calcium carbonate / cholecalciferol / docusate / ferrous fumarate / folic acid / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine / vitamin b 12 / zinc oxide", "alpha tocopherol / ascorbic acid / biotin / cholecalciferol / dexpanthenol / folic acid / niacinamide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin k 1", "alpha tocopherol / ascorbic acid / biotin / dexpanthenol / ergocalciferol / folic acid / niacinamide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin k 1", "alpha tocopherol / ascorbic acid / calcium carbonate / cholecalciferol / cupric oxide / docusate / folic acid / iron carbonyl / magnesium oxide / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12 / zinc oxide", "alpha tocopherol / ascorbic acid / calcium carbonate / cholecalciferol / docusate / ferrous fumarate / folic acid / pyridoxine / riboflavin / thiamine / vitamin b 12", "alpha tocopherol / ascorbic acid / calcium citrate / cholecalciferol / cupric oxide / docusate / folic acid / iron carbonyl / niacinamide / potassium iodide / pyridoxine / riboflavin / thiamine / zinc oxide", "alpha tocopherol / ascorbic acid / cholecalciferol / copper sulfate / docusate / folic acid / iron carbonyl / magnesium oxide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / zinc sulfate", "alpha tocopherol / ascorbic acid / cholecalciferol / docosahexaenoate / docusate / ferrous fumarate / folic acid / pyridoxine / tricalcium phosphate", "alpha tocopherol / ascorbic acid / cholecalciferol / folic acid / iron carbonyl / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12", "alpha tocopherol / ascorbic acid / doconexent / docusate / ferrous fumarate / folic acid / pyridoxine / tricalcium phosphate", "alpha tocopherol / ascorbic acid / docosahexaenoate / eicosapentaenoate / ferrous fumarate / folic acid / pyridoxine / tricalcium phosphate", "alpha tocopherol / calcium citrate / cholecalciferol / docosahexaenoate / docusate / folic acid / iron carbonyl / pyridoxine", "alpha tocopherol / cholecalciferol / vitamin a", "alpha tocopherol / folic acid / hydroxocobalamin / magnesium oxide / pyridoxine", "alpha tocopherol / glycol salicylate / menthol / nonivamide", "alpha tocopherol / levomenthol", "alpha, alpha-dimethylbenzyl alcohol", "alpha-amylase", "alpha-amylase a type 1-2", "alpha-amylcinnamyl alcohol", "alpha-arbutin", "alpha-bisabolol, (+)-", "alpha-bisabolol, (+-)-", "alpha-caine", "alpha-cyclodextrin", "alpha-d-galactosidase enzyme", "alpha-d-galactosidase enzyme / bromelains / papain", "alpha-d-galactosidase enzyme / lactase", "alpha-glucan oligosaccharide", "alpha-glucoheptonic acid, magnesium salt (2:1)", "alpha-hexylcinnamaldehyde", "alpha-isobutylphenethyl alcohol", "alpha-isomethylionone", "alpha-ketoglutaric acid", "alpha-terpineol", "alpha-tocopherol acetate", "alpha-tocopherol linoleate, d-", "alpha-tocopherol succinate", "alpha-tocopherol succinate, d-", "alpha-tocopherylquinone", "alphadine", "alphagan", "alphanate", "alphanine sd", "alphaprodine", "alphaprodine hydrochloride", "alphaquin hp", "alpine strawberry extract", "alpinia galanga leaf extract", "alpinia officinarum leaf extract", "alpinia zerumbet leaf extract", "ALPRAZolam", "ALPRAZolam / Sulpiride", "alprenolol", "alprenolol hydrochloride", "alprolix", "alprostadil", "alrex", "alseroxylon", "alstonia constricta bark extract", "alstonia scholaris bark extract", "alsuma", "altabax", "altacaine", "altace", "altafed", "altamist", "altaryl", "altavera 28 day regimen", "altazine", "alteplase", "alternagel", "alternaria alternata allergenic extract", "alternaria alternata allergenic extract / cladosporium cladosporioides allergenic extract", "alteromonas macleodii", "althaea officinalis flower extract", "althaea officinalis leaf extract", "althaea officinalis root extract", "althaea officinalis whole extract", "althiazide", "althiazide / spironolactone", "altoprev", "altrenogest", "altresyn", "altretamine", "alum, potassium", "alum, potassium / lidocaine", "alum, potassium anhydrous", "aluminium triglycinate", "aluminum", "aluminum acetate", "aluminum acetate / benzethonium", "aluminum acetate / boric acid", "aluminum acetate / camphor / menthol / phenol", "aluminum acetate / zinc oxide", "aluminum acetotartrate", "aluminum acetotartrate / nonoxynol-9", "aluminum aspirin", "aluminum carbonate", "aluminum cation", "aluminum chlorhydrate", "aluminum chlorhydrate / ethanol", "aluminum chlorhydrate / neomycin", "aluminum chloride", "aluminum chloride / potassium chlorate", "aluminum chloride anhydrous", "aluminum chloride hexahydrate", "aluminum chlorohydrex propylene glycol", "aluminum dimyristate", "aluminum distearate", "aluminum flufenamate", "aluminum hydrate", "aluminum hydride", "aluminum hydroxide", "aluminum hydroxide / aluminum subacetate", "aluminum hydroxide / aspirin / caffeine", "aluminum hydroxide / aspirin / calcium carbonate / magnesium hydroxide", "aluminum hydroxide / aspirin / codeine / magnesium hydroxide", "aluminum hydroxide / aspirin / magnesium hydroxide", "aluminum hydroxide / bismuth subnitrate / magnesium hydroxide", "aluminum hydroxide / calcium carbonate", "aluminum hydroxide / calcium carbonate / magnesium hydroxide", "aluminum hydroxide / calcium carbonate / magnesium hydroxide / simethicone", "aluminum hydroxide / carbenoxolone", "aluminum hydroxide / dimethicone", "aluminum hydroxide / dimethicone / magnesium hydroxide", "Aluminum Hydroxide / diphenhydrAMINE / Lidocaine / Magnesium Hydroxide / Simethicone", "aluminum hydroxide / magnesium carbonate", "aluminum hydroxide / magnesium hydroxide", "aluminum hydroxide / magnesium hydroxide / magnesium trisilicate", "aluminum hydroxide / magnesium hydroxide / simethicone", "aluminum hydroxide / magnesium oxide", "aluminum hydroxide / magnesium trisilicate", "aluminum hydroxide / magnesium trisilicate / phenylbutazone", "aluminum hydroxide / magnesium trisilicate / sodium bicarbonate", "aluminum hydroxide / mineral oil", "aluminum hydroxide / niflumic acid / orphenadrine", "aluminum hydroxide / silicon dioxide", "aluminum hydroxide / simethicone", "aluminum hydroxide / theophylline", "aluminum hydroxide gel", "aluminum hydroxide, dried (usp)", "aluminum hydroxyide-glycine (2:1)", "aluminum hydroxyphosphate", "aluminum magnesium silicate", "aluminum magnesium silicate / calcium carbonate", "aluminum magnesium silicate / calcium carbonate / sodium bicarbonate", "aluminum magnesium silicate / magnesium hydroxide", "aluminum magnesium silicate / magnesium hydroxide / simethicone", "aluminum oxide", "aluminum oxide / magnesium hydroxide", "aluminum oxide / simethicone", "aluminum oxide / triclosan", "aluminum phosphate", "aluminum potassium sulfate", "aluminum potassium sulfate / phenol", "aluminum sesquichlorohydrate", "aluminum silicate", "aluminum sodium silicate", "aluminum starch octenylsuccinate", "aluminum stearate", "aluminum stearate / guaiazulene / pentosan polysulfate", "aluminum subacetate", "aluminum subacetate / boric acid", "aluminum sulfate", "aluminum sulfate / calcium acetate", "aluminum sulfate / lidocaine", "aluminum sulfate anhydrous", "aluminum sulfate tetradecahydrate", "aluminum tristearate", "aluminum zirconium octachlorohydrex gly", "aluminum zirconium pentachlorohydrate", "aluminum zirconium pentachlorohydrex gly", "aluminum zirconium tetrachlorohydrex gly", "aluminum zirconium trichlorohydrex gly", "alupent", "aluvea", "alverin plus", "alverine", "alverine / karaya gum", "alverine / simethicone", "alverine citrate", "alvesco", "alvimopan", "alvimopan anhydrous", "alyacen 1/35 28-day kit", "alyacen 7/7/7 28-day kit", "amanita muscaria extract", "amanita muscaria var. muscaria fruiting body extract", "amanita pantherina whole extract", "amanita phalloides whole extract", "amantadine", "amantadine / baclofen / diclofenac / gabapentin / lidocaine", "amantadine hydrochloride", "amantadine sulfate", "amaranth acid", "amaranth dye", "amaranthus caudatus seed extract", "amaranthus caudatus whole extract", "amaranthus hybridus pollen extract", "amaranthus hypochondriacus whole extract", "amaranthus viridis leaf extract", "amaryl", "ambenonium", "ambenonium chloride", "amber", "ambergris", "ambi even & clear", "ambien", "ambifed cd", "ambifed reformulated jul 2008", "ambifed-g", "ambifed-g cd", "ambisome", "ambrisentan", "ambrosia artemisiifolia extract", "ambrosia peruviana leaf extract", "ambrosia psilostachya top extract", "ambroxol", "ambroxol / amoxicillin", "ambroxol / ampicillin", "ambroxol / astemizole / butethamate / phenylephrine", "ambroxol / cefadroxil", "ambroxol / cephalexin", "ambroxol / chlophedianol", "ambroxol / clenbuterol", "ambroxol / clobutinol", "ambroxol / doxycycline", "ambroxol / theophylline", "ambroxol acefyllinate", "ambroxol hydrochloride", "ambroxol-theophylline-7-acetate", "amcinonide", "amdinocillin", "amdinocillin pivoxil", "amdinocillin pivoxil / pivampicillin", "amerfresh", "amerfresh antibacterial", "amerfresh paste", "amerge", "americaine", "americaine anesthetic lubricant", "americaine hemorrhoidal", "americaine otic", "american aloe stem extract", "american basswood pollen extract", "american chestnut allergenic extract", "american cockroach allergenic extract", "american cockroach allergenic extract / german cockroach allergenic extract", "american elderberry extract", "american elm pollen extract", "american elm pollen extract / siberian elm pollen extract", "american ginseng root", "american house dust mite extract", "american house dust mite extract / european house dust mite extract", "amethia 91 day pack", "amethia lo 91 day pack", "amethyst 28 day pack", "amezinium", "amicar", "amidate", "amidoline", "amifostine", "amifostine anhydrous", "amikacin", "amikacin sulfate", "amilomer", "aMILoride", "aMILoride / Atenolol / Hydrochlorothiazide", "aMILoride / Bendroflumethiazide", "aMILoride / Bumetanide", "aMILoride / Cyclopenthiazide", "aMILoride / Furosemide", "aMILoride / Furosemide / Indapamide", "aMILoride / Hydrochlorothiazide", "aMILoride / Hydrochlorothiazide / Methyldopa", "aMILoride / Hydrochlorothiazide / Timolol", "aMILoride / Metolazone", "aMILoride / Trichlormethiazide", "aMILoride Hydrochloride", "aMILoride Hydrochloride, Anhydrous", "amiloxate", "amimax", "aminacrine", "aminacrine / lidocaine", "aminacrine hydrochloride", "aminaphthone", "amineptin", "amino acids", "amino acids, wheat", "amino methacrylate copolymer", "amino-cerv", "aminobenzoate", "aminobutyrate", "Aminobutyrate / PHENobarbital / Phenytoin", "aminobutyric acid", "aminocaproate", "aminoethylphosphinic acid", "aminoglutethimide", "aminohippurate sodium", "aminohydroxybutyric acid", "aminohydroxybutyric acid / pyrithioxin", "aminolevulinate", "aminolevulinic acid", "aminolevulinic acid hydrochloride", "aminomethyl propanediol", "aminomethylpropanol (perfluoro-c6-c12 ethyl)phosphate", "aminometradine", "aminopentamide", "aminopentamide sulfate", "aminophylline", "Aminophylline / Amobarbital / ePHEDrine", "Aminophylline / ePHEDrine", "Aminophylline / ePHEDrine / guaiFENesin / PHENobarbital", "Aminophylline / ePHEDrine / PHENobarbital", "Aminophylline / ePHEDrine / PHENobarbital / Potassium Iodide", "Aminophylline / ePHEDrine / Potassium Iodide", "Aminophylline / guaiFENesin", "Aminophylline / guaiFENesin / PHENobarbital", "Aminophylline / Papaverine / PHENobarbital", "Aminophylline / PHENobarbital", "aminophylline / potassium iodide", "aminophylline / promethazine", "Aminophylline / quiNINE", "aminophylline dihydrate", "aminophylline hydrate", "aminopropazine fumarate", "aminopropyl ascorbyl phosphate", "aminopropyl dihydrogen phosphate", "aminopterin", "aminopterin sodium", "aminopyrine", "aminoquinuride", "aminoquinuride / tetracaine", "aminosalicylate", "aminosalicylic acid", "aminosalicylic sodium", "aminosyn 10%, sulfite-free", "aminosyn 3.5 % m, sulfite free", "aminosyn 3.5%, sulfite-free", "aminosyn 5%, sulfite-free", "aminosyn 7 % with electrolytes, sulfite-free", "aminosyn 7%, sulfite-free", "aminosyn 8.5 % with electrolytes, sulfite-free", "aminosyn 8.5%, sulfite-free", "aminosyn ii 10 %", "aminosyn ii 15%", "aminosyn ii 3.5 % in 25 % dextrose", "aminosyn ii 3.5 % m in 5 % dextrose", "aminosyn ii 3.5 % with electrolytes in 25 % dextrose with calcium", "aminosyn ii 3.5% in 5% dextrose", "aminosyn ii 4.25 % with electrolytes in 25 % dextrose with calcium", "aminosyn ii 4.25% in 10% dextrose", "aminosyn ii 4.25% in 20% dextrose", "aminosyn ii 4.25/25", "aminosyn ii 5% in 25% dextrose", "aminosyn ii 7 %, sulfite-free", "aminosyn ii 8.5 % with electrolytes, sulfite-free", "aminosyn ii 8.5 %, sulfite-free", "aminosyn-hbc 7 %, sulfite-free", "aminosyn-hf 8 %", "aminosyn-pf 10 %, sulfite-free", "aminosyn-pf 7%", "aminosyn-rf 5.2 %, sulfite-free", "amiodarone", "amiodarone hydrochloride", "amisulpride", "amitiza", "amitraz", "amitriptyline", "Amitriptyline / chlordiazePOXIDE", "amitriptyline / diazepam / perphenazine", "amitriptyline / diclofenac / lidocaine / prilocaine", "amitriptyline / perphenazine", "amitriptyline hydrochloride", "amitriptyline oxide", "amitriptyline pamoate", "amlactin", "amlactin ap", "amlexanox", "amLODIPine", "amLODIPine / atorvastatin", "amLODIPine / benazepril", "amLODIPine / Hydrochlorothiazide / olmesartan", "amLODIPine / Hydrochlorothiazide / valsartan", "amLODIPine / olmesartan", "amLODIPine / Perindopril", "amLODIPine / telmisartan", "amLODIPine / valsartan", "amLODIPine Besylate", "ammens", "ammi visnaga fruit extract", "ammonia", "ammonia n-13", "ammonia spirit, aromatic", "ammoniac", "ammonio methacrylate copolymer type a", "ammonio methacrylate copolymer type b", "ammonium", "ammonium acetate", "ammonium acrylodimethyltaurate", "ammonium acryloyldimethyltaurate - beheneth-25 methacrylate crosspolymer (52000 mpa.s)", "ammonium benzoate", "ammonium bromide", "ammonium carbonate", "ammonium chloride", "ammonium chloride / antimony potassium tartrate / ipecac", "ammonium chloride / benzoate / clobutinol", "ammonium chloride / betaine", "ammonium chloride / caffeine", "ammonium chloride / carbinoxamine", "ammonium chloride / chlorpheniramine / codeine / phenylephrine", "ammonium chloride / dextromethorphan", "Ammonium Chloride / diphenhydrAMINE", "Ammonium Chloride / diphenhydrAMINE / sodium citrate", "Ammonium Chloride / ePHEDrine", "ammonium chloride / guaiacolsulfonic acid", "Ammonium Chloride / guaiFENesin", "ammonium chloride / ipecac", "ammonium chloride / isoaminile", "ammonium chloride / licorice root extract", "ammonium chloride / phenylpropanolamine", "ammonium chloride / potassium iodide", "ammonium cocoyl isethionate", "ammonium ferrous sulfate", "ammonium ferrous sulfate / folic acid", "ammonium hydroxide", "ammonium iodide", "ammonium ion", "ammonium lactate", "ammonium laurate", "ammonium laureth-2 sulfate", "ammonium laureth-3 sulfate", "ammonium laureth-5 sulfate", "ammonium lauroyl sarcosinate", "ammonium lauryl sulfate", "ammonium molybdate", "ammonium phosphate", "ammonium phosphate / disodium pyrophosphate / sodium phosphate, monobasic", "ammonium phosphate, dibasic", "ammonium phosphate,monobasic", "ammonium salicylate", "ammonium silicofluoride", "ammonium stearate", "ammonium sulfate", "ammonium thioglycolate", "ammonium valerate", "ammonium xylenesulfonate", "ammonul", "amnesteem", "amniotic fluid (bovine)", "amnonium acryloyldimethyltaurate - vp copolymer", "amobarbital", "Amobarbital / ePHEDrine", "amobarbital / secobarbital", "amobarbital sodium", "amoclan", "amodiaquine", "amodiaquine hydrochloride", "amodimethicone (1300 cst)", "amodimethicone (3500 cst)", "amodimethicone (800 cst)", "amoeba proteus", "amomum villosum var. xanthioides whole extract", "amonafide", "amoproxan", "amorolfine", "amorolfine hydrochloride", "amorphophallus konjac root extract", "amoxapine", "amoxi drop", "amoxi-tabs", "amoxicillin", "amoxicillin / bromhexine", "amoxicillin / brovanexine", "amoxicillin / carbocysteine", "amoxicillin / clavulanate", "amoxicillin / clonixin", "amoxicillin / diclofenac", "amoxicillin / floxacillin", "amoxicillin / nystatin", "amoxicillin / piroxicam", "amoxicillin / probenecid", "amoxicillin / sulbactam", "amoxicillin / sulfinpyrazone", "amoxicillin anhydrous", "amoxicillin sodium", "amoxicillin trihydrate", "amoxicot", "amoxil", "ampelopsis japonica root extract", "amphadase", "amphetamine", "amphetamine / dextroamphetamine", "Amphetamine / PHENobarbital", "amphetamine aspartate", "amphetamine aspartate / amphetamine sulfate / dextroamphetamine saccharate / dextroamphetamine sulfate", "amphetamine aspartate monohydrate", "amphetamine saccharate", "amphetamine sulfate", "amphetaminil", "amphotec", "amphotericin", "amphotericin b", "amphotericin b / tetracycline", "amphotericin b / triamcinolone", "amphotericin b colloidal dispersion", "amphotericin b liposomal", "ampicillin", "ampicillin (anhydrous)", "ampicillin / bromhexine", "ampicillin / brovanexine", "ampicillin / carbocysteine", "ampicillin / cloxacillin", "ampicillin / diclofenac", "ampicillin / dicloxacillin", "ampicillin / floxacillin", "ampicillin / probenecid", "ampicillin / sulbactam", "ampicillin sodium", "ampicillin trihydrate", "amprenavir", "amprenavir / vitamin e", "amprid", "amprol", "amprolium", "ampromed for calves", "ampromed-p", "ampyra", "amrix", "amsacrine", "amturnide", "amvisc", "amygdalin", "amyl acetate", "amyl cinnamal", "amyl nitrite", "amyl salicylate", "amyl salicylate / hexylnicotinate", "amylases", "amylases / bacillus coagulans / endopeptidases / lipase", "amylases / betaine / ox bile extract / pancreatin / papain / pepsin a", "amylases / bromelains / papain / papaya preparation", "amylases / cellulase / endopeptidases / hyoscyamine / lipase / phenyltoloxamine", "amylases / cellulase / endopeptidases / lipase", "amylases / endopeptidases", "amylases / endopeptidases / lipase", "amylases / endopeptidases / lipase / pancreatin", "amylases / endopeptidases / papain", "amylases / endopeptidases / papain / papaya preparation", "amylases / lipase", "amylases / papain", "amylmetacresol", "amylmetacresol / dichlorobenzyl alcohol / lidocaine", "amylmetacresol / dichlorobenzyl alcohol / menthol", "amylocaine", "amylocaine / lindane", "amylocaine / trichloroacetaldehyde", "amylocaine hydrochloride", "amylopectin", "amyris balsamifera oil", "amytal", "ana-lex", "anabar", "anacaine", "anacardium occidentale fruit extract", "anacin", "anacin advanced headache formula", "anacin af", "anacin aspirin regimen", "anacyclus pyrethrum root extract", "anadrol-50", "anaerococcus tetradius", "anafranil", "anagallis arvensis extract", "anagrelide", "anagrelide hydrochloride", "anakinra", "analgesic balm grx", "analpram e kit with 1 prax medicated pad {1 (4 gm) (hydrocortisone acetate 2.5 % / pramoxine hcl 1 % rectal cream [analpram hc]) / 1 (pramoxine hcl 1 % medicated pad [prax]) } pack", "analpram e kit with 18 prax medicated pads {30 (4 gm) (hydrocortisone acetate 2.5 % / pramoxine hcl 1 % [analpram hc]) / 18 (pramoxine hcl 1 % medicated pad [prax]) } pack", "analpram e kit with 6 prax medicated pad {1 (1 oz) (hydrocortisone acetate 2.5 % / pramoxine hcl 1 % rectal cream [analpram hc]) / 6 (pramoxine hcl 1 % medicated pad [prax]) } pack", "analpram hc", "anamirta cocculus seed extract", "anamirta cocculus whole extract", "anamu preparation", "anaprox", "anascorp", "anased", "anasept", "anaspaz", "anastrozole", "anazolene acid", "anbesol", "anbesol cold sore therapy", "ancestim", "anchovy preparation", "ancobon", "ancrod", "androctonus australis venom", "androderm", "androgel", "andrographis paniculata whole extract", "android", "androstenedione", "androsterone", "androxy", "anecream", "anectine", "anemarrhena asphodeloides whole extract", "anemone americana extract", "anemone nemorosa extract", "anesgerm", "anestacaine", "anestacon", "anestafoam", "anethole", "anethole / choline", "anethole trithione", "anethole trithione / choline", "anethum graveolens whole extract", "angelica acutiloba root extract", "angelica acutiloba root oil", "angelica archangelica leaf extract", "angelica archangelica root extract", "angelica atropurpurea root extract", "angelica biserrata root extract", "angelica dahurica leaf extract", "angelica dahurica root extract", "angelica dahurica var. formosana whole extract", "angelica dahurica whole extract", "angelica gigas root extract", "angelica gigas root oil", "angelica keiskei top extract", "angelica polymorpha root extract", "angelica pubescens root extract", "angelica pubescens whole extract", "angelica root oil", "angelica seed extract", "angelica seed oil", "angelica sinensis preparation", "angelica sinensis preparation / black cohosh extract", "angelica sinensis preparation / soy germ", "angelica sinensis root extract", "angelica sinensis whole extract", "angeliq 0.25/0.5 28 day pack", "angeliq 0.5/1 28 day pack", "angidol", "angiomax", "angostura bark extract", "anguilla rostrata blood serum", "anhydrous calcium iodide", "anhydrous calcium iodide / codeine", "anhydrous dextrose", "anhydrous lactose", "anhydrous lanolin", "anhydrous liquid lanolin", "anhydrous tacrolimus", "anhydrous zinc acetate", "anhydroxylitol", "aniba rosaeodora wood extract", "anidulafungin", "anileridine", "anileridine hydrochloride", "aniline", "animalgesics", "animax", "animi-3", "animi-3 with vitamin d", "anipryl", "aniracetam", "anisacril", "anisate", "anise oil", "anise oil / citric acid", "anise oil / thyme preparation", "anise seed extract", "anisindione", "anisotropine", "anisotropine / dipyrone", "Anisotropine / PHENobarbital", "anistreplase", "anisum extract", "anisyl alcohol", "annatto extract", "annickia chlorantha bark extract", "annual bluegrass pollen extract", "anogeissus leiocarpus bark extract", "anoro", "ansaid", "antabuse", "antara", "antazoline", "antazoline / naphazoline", "antazoline / tetrahydrozoline", "antazoline / xylometazoline", "antazoline hydrochloride", "antazoline phosphate", "anthelcide eq", "anthoxanthum odoratum antigen", "anthoxanthum odoratum extract", "anthralin", "anthralin / coal tar / salicylic acid", "anthralin / salicylic acid", "anthralin / urea", "anthraquinone glycoside", "anthraquinone glycoside / salicylic acid", "anthrasil", "anthrax immune globulin", "anthrax immune globulin, human", "anthrax vaccine adsorbed", "anti bac", "anti-fungus livestock shampoo", "anti-inhibitor coagulant complex", "anti-interleukin-1.alpha. immunoglobulin g rabbit", "antiaris toxicara resin extract", "antiflex", "antihemophilic factor, human", "antihemophilic factor, human recombinant", "antihemophilic factor, human recombinant residues 743-1636 deleted", "antihemophilic factor, porcine", "antihemophilic factor, porcine b-domain truncated recombinant", "antilymphocyte immunoglobulin", "antiminth", "antimony", "antimony arsenate", "antimony cation (3+)", "antimony cation (5+)", "antimony pentasulfide", "antimony potassium tartrate", "antimony triiodide", "antimony trisulfide", "antioxidant 119", "antipyrine", "antipyrine / benzocaine", "antipyrine / benzocaine / phenylephrine", "antipyrine / benzocaine / urea", "antipyrine / benzocaine / zinc acetate", "antipyrine / caffeine", "Antipyrine / Caffeine / quiNINE", "antipyrine / calcium chloride", "Antipyrine / ePHEDrine", "antipyrine / hydrocortisone / neomycin / polymyxin b", "antipyrine / lidocaine", "antipyrine / meprobamate / papaverine", "antipyrine / phenylephrine", "antirabies serum,equine", "antirobe", "antisedan", "antithrombin alfa", "antithrombin iii", "antithrombin iii, human", "antivert", "antizol", "anturol", "anucort-hc", "anusol hc", "anzemet", "apaflurane", "apazone", "apeaz", "apexicon", "aphanizomenon flos-aquae", "aphedrid", "aphloia theiformis leaf extract", "aphthasol", "apidra", "apigenin", "apiole", "apiospora montagnei allergenic extract", "apis cerana whole preparation", "apis cerana worker secretion preparation", "apis mellifera preparation", "apis mellifera ven protein", "apixaban", "aplenzin", "aplisol", "apocarotenal", "apocreme", "apocynum androsaemifolium root extract", "apocynum cannabinum root extract", "apokyn", "apomorphine", "apomorphine hydrochloride", "apoquel", "appearex", "apple allergenic extract", "apple cider vinegar", "apple cider vinegar / calcium carbonate", "apple extract", "apple fruit oil", "apple juice", "apple pectin", "apple pectin / guar gum", "apple pectin / lactobacillus acidophilus", "apple seed extract", "apra", "apraclonidine", "apraclonidine hydrochloride", "apremilast", "apremilast 2-week starter pack", "apremilast 28-day starter pack", "aprepitant", "apresoline", "apri 28 day pack", "apricot allergenic extract", "apricot extract", "apricot fruit oil", "apricot juice extract", "apricot kernal oil peg-6 esters", "apricot kernel oil", "aprindine", "aprindine hydrochloride", "apriso", "aprobarbital", "aprobarbital / butabarbital / PHENobarbital", "aprolium", "aprolium ion", "aprotinin", "aptensio", "aptiom", "aptiom titration sample pack", "aptivus", "aqua care", "aqua glycolic", "aqua glycolic shampoo and body cleanser", "aqua maris", "aqua maris decongestant", "aqua regia", "aqua-ban", "aquacot", "aquafresh", "aquafresh big kids", "aquafresh extreme clean", "aquafresh sensitive", "aquafresh white and shine", "aquamephyton", "aquanil hc", "aquaphilic with urea", "aquaphor", "aquaphor diaper rash", "aquasol a", "aquasol e", "aquatab d reformulated dec 2008", "aquatab dm", "aquavite-e", "aquilaria malaccensis stem extract", "aquilegia vulgaris extract", "arabic gum allergenic extract", "arabica coffee bean allergenic extract", "arabica coffee oil", "arabidopsis thaliana extract", "arachidate", "arachidic acid", "arachidonate", "arachidonic acid", "arachidyl alcohol", "arachidyl behenate", "arachidyl glucoside", "arachidyl propionate", "arachis oil", "arachis oil / calamine", "arachis oil / chlorobutanol / dichlorobenzene", "aralast", "aralen phosphate", "aralia cordata root extract", "aralia hispida root extract", "aralia racemosa root extract", "aranelle 28 day pack", "aranesp", "araneus diadematus preparation", "arava", "arbekacin sulfate", "arbinoxa", "arbutamine", "arbutamine hydrochloride", "arbutin", "arcalyst", "arcapta", "arched swimming crab, cooked preparation", "arctium lappa fruit extract", "arctium lappa fruit oil", "arctium lappa whole extract", "arctostaphylos uva-ursi leaf extract", "arctostaphylos uva-ursi whole extract", "ardeparin", "ardeparin sodium", "ardisia japonica stem extract", "arestin", "arformoterol", "arformoterol tartrate", "argan oil", "argania spinosa leaf extract", "argania spinosa seed extract", "argania spinosa whole extract", "argatroban", "argatroban anhydrous", "argemone mexicana extract", "argemone mexicana whole extract", "argentina anserina flowering top extract", "argentine canola pollen extract", "argeratina aromatica root extract", "arginine", "arginine / calcium carbonate", "arginine / calcium carbonate / maca preparation", "arginine / folic acid / piperine / vitamin b 12 / vitamin b6", "arginine / ginkgo biloba extract / yohimbine", "arginine / ginseng preparation", "arginine / histidine / isoleucine / leucine / lysine / methionine / phenylalanine / threonine / tryptophan / valine", "arginine / malate", "arginine aminobenzoate", "arginine aspartate", "arginine glutamate", "arginine hydrochloride", "arginine pyroglutamate", "argipressin", "argon", "aricept", "arimidex", "arimidex 14 day professional sample", "arimidex calendar blister pak", "ARIPiprazole", "ARIPiprazole lauroxil", "arisaema dracontium root extract", "arisaema erubescens root extract", "arisaema triphyllum root extract", "aristada", "aristolochia clematitis root extract", "aristolochia clematitis whole extract", "aristolochia serpentaria root extract", "aristospan", "aristotelia chilensis fruit extract", "arixtra", "arizona ash pollen extract", "arizona cypress pollen extract", "arkaliox", "arlex", "armodafinil", "armour thyroid", "arnatto leaf extract", "arnica angustifolia flower extract", "arnica chamissonis flower extract", "arnica cordifolia flower extract", "arnica extract", "arnica extract / ethanol", "arnica flowers extract", "arnica montana extract", "arnica montana flower extract", "arnica montana flower water", "arnica montana root extract", "arnuity", "aromadendrin", "aromasin", "aronia melanocarpa fruit extract", "aronia melanocarpa fruit juice", "arranon", "arroyo willow pollen extract", "arsenate", "arsenic", "arsenic acid", "arsenic cation", "arsenic tribromide", "arsenic triiodide", "arsenic trioxide", "arsenic trisulfide", "arsenite ion", "artec", "artemether", "artemether / lumefantrine", "artemisia abrotanum flowering top extract", "artemisia abrotanum whole extract", "artemisia absinthium extract", "artemisia annua leaf extract", "artemisia argyi leaf extract", "artemisia capillaris flower extract", "artemisia cina flower extract", "artemisia maritima flower extract", "artemisia pallens whole extract", "artemisia princeps leaf extract", "artemisia princeps leaf oil", "artemisia princeps whole extract", "artemisia tridentata top oil", "artemisia umbelliformis flower extract", "artemisia umbelliformis whole extract", "artemisia vulgaris root extract", "artemisia vulgaris top oil", "artemisia vulgaris whole extract", "artesunate", "arth-rx", "arthricare for women moisturizing", "arthricare for women pain relieving nighttime", "arthricare for women ultra strength", "arthritazin", "arthriten inflammatory pain", "arthrospira platensis", "arthrotec", "arthur itis", "articadent", "articaine", "Articaine / EPINEPHrine", "articaine hydrochloride", "artichoke allergenic extract", "artiss", "artrosamin", "arum maculatum root extract", "arundo pliniana root extract", "arzerra", "asacol", "asafetida extract", "asafetida extract / capsicum extract / cascara sagrada / ginger extract / nux vomica extract", "asafetida extract / cascara sagrada", "asarum canadense root extract", "asarum europaeum extract", "asarum heterotropoides extract", "asarum heterotropoides var. mandshuricum root extract", "asarum sieboldii root extract", "ascarel", "ascaris lumbricoides preparation", "asclepias curassavica extract", "asclepias quadrifolia whole extract", "asclepias tuberosa flowering top extract", "asclepias tuberosa root extract", "asclera", "ascomp", "ascophyllum nodosum extract", "ascorbate", "ascorbate manganese", "ascorbate manganese / chondroitin sulfates / glucosamine", "ascorbic acid", "ascorbic acid / aspirin", "ascorbic acid / aspirin / caffeine", "ascorbic acid / aspirin / cysteine", "ascorbic acid / aspirin / diphenylpyraline", "ascorbic acid / bacillus coagulans / cranberry preparation", "ascorbic acid / bee pollen", "ascorbic acid / beta carotene / calcium carbonate / cholecalciferol / cupric oxide / docusate / folic acid / iron carbonyl / magnesium oxide / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / beta carotene / calcium carbonate, precipitated / cholecalciferol / folic acid / iron carbonyl / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / beta carotene / copper sulfate / lutein / selenite / vitamin e / zinc oxide", "ascorbic acid / beta carotene / copper sulfate / selenite / vitamin e / zinc oxide", "ascorbic acid / beta carotene / cuprous oxide / lutein / sodium selenate / vitamin e / zinc oxide", "ascorbic acid / beta carotene / cuprous oxide / vitamin e / zinc oxide", "ascorbic acid / beta carotene / ergocalciferol / folic acid / niacin / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e", "ascorbic acid / beta carotene / folic acid / iodine / magnesium sulfate / manganese sulfate / niacinamide / pantothenate / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin d / vitamin e / zinc sulfate", "ascorbic acid / bioflavonoid, lemon / echinacea preparation", "ascorbic acid / bioflavonoids", "ascorbic acid / bioflavonoids / bromelains / quercetin", "ascorbic acid / bioflavonoids / calcium ascorbate", "ascorbic acid / bioflavonoids / choline / inositol / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / bioflavonoids / echinacea preparation", "ascorbic acid / bioflavonoids / grape seed extract", "ascorbic acid / bioflavonoids / hesperidin", "ascorbic acid / bioflavonoids / hesperidin / rutin", "ascorbic acid / biotin", "ascorbic acid / biotin / calcium carbonate / cupric oxide / ferrous fumarate / folic acid / magnesium oxide / niacinamide / pantothenic acid / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin e / zinc oxide", "ascorbic acid / biotin / calcium carbonate / folic acid / niacin / pantothenate / pyridoxine / riboflavin / succinic acid / thiamine / vitamin b 12", "ascorbic acid / biotin / cholecalciferol / folic acid / niacin / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / biotin / copper sulfate / docusate / folic acid / iron carbonyl / vitamin b 12 / vitamin e", "ascorbic acid / biotin / copper sulfate / ferrous fumarate / folic acid / magnesium sulfate / manganese sulfate / niacin / pantothenate / polysaccharide iron complex / pyridoxine / riboflavin / thiamine / vitamin b 12 / zinc sulfate", "ascorbic acid / biotin / docusate / ferrous fumarate / folic acid / niacinamide / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / biotin / ferrous bisglycinate / folic acid / formic acid / iron-dextran complex / niacin / pantothenate / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / biotin / ferrous fumarate / folic acid / mecobalamin / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine", "ascorbic acid / biotin / folic acid / mecobalamin / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine", "ascorbic acid / biotin / folic acid / mecobalamin / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine / zinc citrate", "ascorbic acid / biotin / folic acid / niacin / pantothenate / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / biotin / folic acid / niacin / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / biotin / folic acid / niacin / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin b 12 / vitamin e", "ascorbic acid / biotin / folic acid / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine", "ascorbic acid / bromelains", "ascorbic acid / butcher's broom preparation / citrus bioflavonoids / diosmin / rutin", "ascorbic acid / butcher's broom preparation / diosmin / hesperidin", "ascorbic acid / butcher's broom preparation / hesperidin", "ascorbic acid / calcium ascorbate", "ascorbic acid / calcium carbonate", "ascorbic acid / calcium carbonate / cholecalciferol / choline / ferrous fumarate / folic acid / niacin / potassium iodide / pyridoxine / riboflavin / thiamine / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / calcium carbonate / cholecalciferol / cupric oxide / ferrous fumarate / folic acid / magnesium oxide / niacin / potassium iodide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / calcium carbonate / cholecalciferol / ferrous fumarate / folic acid / magnesium oxide / niacin / potassium iodide / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin e / zinc oxide", "ascorbic acid / calcium carbonate / cholecalciferol / ferrous fumarate / folic acid / niacinamide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e", "ascorbic acid / calcium carbonate / cholecalciferol / vitamin e", "ascorbic acid / calcium carbonate / copper sulfate / ferrous fumarate / folic acid / magnesium oxide / niacinamide / potassium iodide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin d / vitamin e / zinc sulfate", "ascorbic acid / calcium carbonate / ferrous fumarate / folic acid", "ascorbic acid / calcium citrate / cholecalciferol / cupric oxide / docusate / folic acid / iron carbonyl / niacinamide / potassium iodide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / calcium citrate / cholecalciferol / folic acid / iron carbonyl / pyridoxine", "ascorbic acid / calcium citrate / silicon dioxide", "ascorbic acid / calcium lactate", "ascorbic acid / calcium phosphate", "ascorbic acid / calcium phosphate dibasic / echinacea purpurea extract", "ascorbic acid / calcium sulfate / cholecalciferol / copper sulfate / ferrous fumarate / folic acid / kelp preparation / magnesium oxide / magnesium sulfate / niacinamide / potassium sulfate / pyridoxine / riboflavin / vitamin a / vitamin b 12 / zinc sulfate", "ascorbic acid / calcium sulfate / cholecalciferol / cupric oxide / ferrous fumarate / folic acid / niacinamide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / calcium sulfate / cupric oxide / niacinamide / pyridoxine / vitamin b 12", "ascorbic acid / chlorpheniramine / phenylpropanolamine / pyrilamine", "ascorbic acid / cholecalciferol", "ascorbic acid / cholecalciferol / cuprous oxide / folic acid / magnesium oxide / niacin / polysaccharide iron complex / potassium iodide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e / zinc oxide", "ascorbic acid / cholecalciferol / ferrous sulfate / sodium fluoride / vitamin a", "ascorbic acid / cholecalciferol / niacin / riboflavin / sodium fluoride / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin e", "ascorbic acid / cholecalciferol / niacinamide / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e", "ascorbic acid / cholecalciferol / sodium fluoride / vitamin a", "ascorbic acid / cholecalciferol / vitamin a", "ascorbic acid / chondroitin sulfates / glucosamine", "ascorbic acid / chromium polynicotinate / niacinamide / oat bran / phytosterols / pregna-4,17-diene-3,16-dione", "ascorbic acid / citrus bioflavonoids", "ascorbic acid / clioquinol", "ascorbic acid / collagen", "ascorbic acid / collagen, hydrolyzed", "ascorbic acid / copper gluconate / docosahexaenoate / eicosapentaenoate / lutein / vitamin e / zeaxanthin / zinc oxide", "ascorbic acid / copper sulfate / ferrous fumarate / folic acid", "ascorbic acid / copper sulfate / ferrous fumarate / folic acid / vitamin b 12", "ascorbic acid / cranberry preparation", "ascorbic acid / cranberry preparation / lactobacillus sporogenes", "ascorbic acid / cranberry preparation / vitamin e", "ascorbic acid / cuprous oxide / lutein / vitamin e / zinc oxide", "ascorbic acid / d-biotin / folic acid / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / d-biotin / folic acid / niacinamide / pantothenic acid / pyridoxine / riboflavin / thiamine / vitamin b 12", "ascorbic acid / dequalinium", "ascorbic acid / dequalinium / tyrothricin", "ascorbic acid / docosahexaenoate / lutein", "ascorbic acid / docusate / ferrous fumarate", "ascorbic acid / docusate / folic acid / iron carbonyl / vitamin b 12", "ascorbic acid / echinacea preparation", "ascorbic acid / echinacea preparation / golden seal root", "ascorbic acid / echinacea purpurea extract / zinc gluconate", "ascorbic acid / ferrous bisglycinate / folic acid / vitamin b 12", "ascorbic acid / ferrous bisglycinate / polysaccharide iron complex", "ascorbic acid / ferrous chloride", "ascorbic acid / ferrous fumarate", "ascorbic acid / ferrous fumarate / folic acid", "ascorbic acid / ferrous fumarate / folic acid / intrinsic factor", "ascorbic acid / ferrous fumarate / folic acid / intrinsic factor / vitamin b 12", "ascorbic acid / ferrous fumarate / folic acid / liver stomach concentrate / vitamin b 12", "ascorbic acid / ferrous fumarate / folic acid / niacin / polysaccharide iron complex", "ascorbic acid / ferrous fumarate / folic acid / niacinamide / polysaccharide iron complex", "ascorbic acid / ferrous fumarate / folic acid / vitamin b 12", "ascorbic acid / ferrous fumarate / niacinamide / polysaccharide iron complex", "ascorbic acid / ferrous fumarate / vitamin b 12", "ascorbic acid / ferrous gluconate / folic acid", "ascorbic acid / ferrous gluconate / vitamin b 12", "ascorbic acid / ferrous sulfate", "ascorbic acid / ferrous sulfate / folic acid", "ascorbic acid / ferrous sulfate / niacin / riboflavin / thiamine / vitamin a / vitamin b6 / vitamin d / vitamin e", "ascorbic acid / ferrous sulfate / vitamin a / vitamin d", "ascorbic acid / fluoride ion / folic acid / niacin / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin d / vitamin e", "ascorbic acid / folic acid", "ascorbic acid / folic acid / iron carbonyl / vitamin b 12", "ascorbic acid / folic acid / magnesium sulfate / manganese chloride / niacinamide / pantothenate / pyridoxine / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin e / zinc sulfate", "ascorbic acid / folic acid / niacin / pyridoxine / riboflavin / sodium fluoride / thiamine / vitamin a / vitamin b 12 / vitamin d / vitamin e", "ascorbic acid / folic acid / niacin / riboflavin / sodium fluoride / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin d / vitamin e", "ascorbic acid / folic acid / niacinamide / pyridoxine / riboflavin / sodium fluoride / thiamine / vitamin a / vitamin b 12 / vitamin d / vitamin e", "ascorbic acid / folic acid / niacinamide / pyridoxine / thiamine / vitamin a / vitamin b 12 / vitamin d", "ascorbic acid / folic acid / polysaccharide iron complex", "ascorbic acid / folic acid / polysaccharide iron complex / vitamin b 12", "ascorbic acid / folic acid / vitamin d", "ascorbic acid / glucose", "ascorbic acid / hesperidin", "ascorbic acid / hyaluronate", "ascorbic acid / hydroquinone", "ascorbic acid / inositol", "ascorbic acid / iron carbonyl", "ascorbic acid / magnesium oxide", "ascorbic acid / magnesium sulfate / vitamin e / zinc sulfate", "ascorbic acid / menthol", "ascorbic acid / niacin", "ascorbic acid / niacin / riboflavin / thiamine / vitamin a / vitamin b 12 / vitamin b6 / vitamin d / vitamin e", "ascorbic acid / niacinamide", "ascorbic acid / niacinamide / vitamin a", "ascorbic acid / pantothenic acid", "ascorbic acid / pantothenic acid / quercetin", "ascorbic acid / pectin / zinc gluconate", "ascorbic acid / phenol", "ascorbic acid / phenylpropanolamine", "ascorbic acid / piroxicam", "ascorbic acid / polyethylene glycol 3350 / potassium chloride / sodium ascorbate / sodium chloride / sodium sulfate", "ascorbic acid / polysaccharide iron complex", "ascorbic acid / potassium chloride", "ascorbic acid / potassium citrate", "ascorbic acid / quercetin", "Ascorbic Acid / quiNINE", "ascorbic acid / riboflavin", "ascorbic acid / rutin", "ascorbic acid / rutin / vincamine", "ascorbic acid / sodium fluoride", "ascorbic acid / sodium fluoride / vitamin a / vitamin d", "ascorbic acid / tetracaine / tyrothricin", "ascorbic acid / thiamine", "ascorbic acid / tyrothricin", "ascorbic acid / ubiquinol", "ascorbic acid / vincamine", "ascorbic acid / vitamin a", "ascorbic acid / vitamin a / vitamin d", "ascorbic acid / vitamin a / vitamin e", "ascorbic acid / vitamin a / vitamin e / zinc sulfate", "ascorbic acid / vitamin b 12 / zinc gluconate", "ascorbic acid / vitamin b6", "ascorbic acid / vitamin b6 / zinc citrate", "ascorbic acid / vitamin e", "ascorbic acid / zinc acetate", "ascorbic acid / zinc citrate", "ascorbic acid / zinc gluconate", "ascorbic acid / zinc sulfate", "ascorbic acid 2-sulfate", "ascorbyl dipalmitate", "ascorbyl glucoside", "ascorbyl methylsilanol pectinate", "ascorbyl phosphate", "ascorbyl tetraisopalmitate", "ascorbyl tocopheryl maleate", "ascorbyl tocopheryl phosphate", "ascriptin", "asenapine", "asenapine maleate", "asepso", "asepxia", "asfotase alfa", "ash pollen extract", "ashlyna 91 day pack", "asian ginseng extract", "asiatic acid", "asiaticoside", "asmanex", "aspalathus linearis leaf extract", "aspalathus linearis whole extract", "asparaginase", "asparaginase erwinia chrysanthemi", "asparagine", "asparagine monohydrate", "asparagopsis armata extract", "asparagus adscendens root extract", "asparagus allergenic extract", "asparagus cochinchinesis tuber extract", "aspartame", "aspartame acesulfame", "aspartate", "aspartate magnesium hydrochloride", "aspartic acid", "aspartic acid / magnesium chloride", "aspen pollen extract", "asper-flex", "aspercreme", "aspercreme heat pain relieving", "aspercreme max", "asperdrink", "aspergillus flavus allergenic extract", "aspergillus flavus var. oryzae", "aspergillus flavus var. oryzae protease", "aspergillus fumigatus", "aspergillus fumigatus extract", "aspergillus niger extract", "aspergillus niger immunoserum rabbit", "aspergillus niger preparation", "aspergillus niger var. niger allergenic extract", "aspergillus niger var. niger extract", "aspergillus repens allergenic extract", "aspergillus ruber", "aspergillus terreus allergenic extract", "aspergillus terreus extract", "aspergum", "aspi-cor", "aspi-rub", "aspidosperma quebracho-blanco bark extract", "aspir-low", "aspirin", "aspirin / brompheniramine / dextromethorphan / phenylpropanolamine", "aspirin / butalbital", "aspirin / butalbital / caffeine", "aspirin / butalbital / caffeine / codeine", "aspirin / butalbital / caffeine / phenacetin", "aspirin / caffeine", "aspirin / caffeine / chlorpheniramine", "aspirin / caffeine / cinnamedrine", "aspirin / caffeine / codeine", "aspirin / caffeine / dihydrocodeine", "aspirin / caffeine / dihydrocodeine / promethazine", "Aspirin / Caffeine / HYDROcodone", "aspirin / caffeine / ipecac / opium", "aspirin / caffeine / magnesium carbonate / magnesium salicylate", "aspirin / caffeine / magnesium salicylate", "aspirin / caffeine / orphenadrine", "aspirin / caffeine / propoxyphene", "Aspirin / Caffeine / quiNINE", "aspirin / caffeine / salicylamide", "aspirin / calcium carbonate", "aspirin / carbidopa", "aspirin / carisoprodol", "aspirin / carisoprodol / codeine", "aspirin / chlormezanone", "aspirin / chlorpheniramine", "aspirin / chlorpheniramine / dextromethorphan", "aspirin / chlorpheniramine / dextromethorphan / phenylephrine", "aspirin / chlorpheniramine / dextromethorphan / phenylpropanolamine", "aspirin / chlorpheniramine / phenylephrine", "aspirin / chlorpheniramine / phenylpropanolamine", "aspirin / chlorpheniramine / pseudoephedrine", "aspirin / citric acid / sodium bicarbonate", "aspirin / codeine", "aspirin / cyclizine", "aspirin / dextromethorphan / doxylamine / phenylephrine", "aspirin / dextromethorphan / phenylephrine", "Aspirin / diphenhydrAMINE", "Aspirin / diphenhydrAMINE / Phenylpropanolamine", "aspirin / dipyridamole", "aspirin / ethoheptazine / meprobamate", "aspirin / glycine", "Aspirin / HYDROcodone", "aspirin / isosorbide", "Aspirin / Lithium / quiNINE", "aspirin / meprobamate", "aspirin / methocarbamol", "Aspirin / methylPREDNISolone", "aspirin / nafronyl", "Aspirin / oxyCODONE", "Aspirin / oxyCODONE Hydrochloride / oxyCODONE terephthalate", "aspirin / papain", "Aspirin / Papaverine / PHENobarbital", "aspirin / pentazocine", "Aspirin / PHENobarbital", "aspirin / phenylephrine", "aspirin / phenylpropanolamine", "aspirin / phenyltoloxamine", "aspirin / pravastatin", "aspirin / promethazine / pseudoephedrine", "aspirin / propoxyphene", "aspirin / pseudoephedrine", "aspirin / pyridinolcarbamate", "Aspirin / quiNINE", "aspirin / sulfur", "asplenium scolopendrium top extract", "asplenium scolopendrium whole extract", "astacus astacus extract", "astagraf", "astaxanthin", "astelin", "astemizole", "astemizole / cetrimide / oxymetazoline", "astemizole / clorazepate", "astemizole / dexamethasone", "astemizole / pseudoephedrine", "astepro", "asterias rubens preparation", "asthmahaler", "asthmanefrin", "astragalus exscapus whole flowering-fruiting extract", "astragalus nuttallii leaf extract", "astragalus preparation", "astragalus propinquus root extract", "astragalus root", "astragalus root extract", "astramorph", "astri-uc", "astringyn", "astrocaryum aculeatum seed oil", "astrocaryum murumuru seed butter extract", "asunaprevir", "atabex dha", "atacand", "atacand hct", "atarax", "atazanavir", "atazanavir / cobicistat", "atazanavir sulfate", "atenolol", "atenolol / bendroflumethiazide", "atenolol / chlorthalidone", "Atenolol / Chlorthalidone / hydrALAZINE", "Atenolol / NIFEdipine", "atgam", "atipamezole", "atipamezole hydrochloride", "ativan", "atlantic cod allergenic extract", "atlantic halibut preparation", "atlantic rock crab preparation", "atlantic salmon allergenic extract", "atomoxetine", "atomoxetine hydrochloride", "atopalm", "atopalm antifungal", "atopalm clotrimazole antifungal", "atopalm diaper rash", "atopalm first aid", "atopalm first aid moisturizing and pain relief", "atopalm hemorrhoidal", "atopalm itch relief", "atopalm moisturizing muscle rub", "atopalm oral pain relief", "atopalm pain relief", "atopica", "atorvastatin", "atorvastatin / ezetimibe", "atorvastatin calcium", "atorvastatin calcium propylene glycol solvate", "atorvastatin calcium trihydrate", "atosiban", "atovaquone", "atovaquone / proguanil", "atrac-tain", "atractylodes japonica root", "atractylodes japonica root oil", "atractylodes lancea root extract", "atractylodes macrocephala root extract", "atracurium", "atracurium besylate", "atralin", "atreza", "atridox", "atripla", "atropa belladona whole extract", "atropa belladonna fruiting top extract", "atropa belladonna root extract", "atropa belladonna whole extract", "atropen", "atropine", "atropine / benzoate / hyoscyamine / methenamine / methylene blue / phenyl salicylate", "atropine / brompheniramine / phenyltoloxamine / pseudoephedrine", "atropine / carzenide / dipyrone", "atropine / chlorpheniramine", "Atropine / Chlorpheniramine / ePHEDrine", "atropine / chlorpheniramine / hyoscyamine / phenylephrine", "atropine / chlorpheniramine / hyoscyamine / phenylephrine / phenylpropanolamine / scopolamine", "atropine / chlorpheniramine / hyoscyamine / phenylephrine / pseudoephedrine / scopolamine", "atropine / chlorpheniramine / hyoscyamine / phenylephrine / scopolamine", "atropine / chlorpheniramine / hyoscyamine / pseudoephedrine / scopolamine", "atropine / chlorpheniramine / phenylephrine / phenyltoloxamine", "atropine / chlorpheniramine / phenylpropanolamine", "atropine / difenoxin", "atropine / diphenoxylate", "atropine / edrophonium", "Atropine / EPINEPHrine", "Atropine / EPINEPHrine / Tyramine", "atropine / hydrocortisone", "Atropine / HYDROmorphone", "atropine / hyoscyamine / methenamine / phenyl salicylate", "Atropine / Hyoscyamine / PHENobarbital / Scopolamine", "atropine / hyoscyamine / phenylephrine / pseudoephedrine / scopolamine", "atropine / hyoscyamine / scopolamine", "atropine / ictasol", "Atropine / Kaolin / PHENobarbital", "atropine / meperidine", "atropine / morphine", "atropine / neostigmine", "atropine / nitroglycerin / theobromine", "Atropine / PHENobarbital", "atropine / pralidoxime", "Atropine / prednisoLONE", "atropine / scopolamine / simethicone", "atropine sulfate", "atropine-care", "atrovent", "atryn", "attane", "attapulgite", "attapulgite / morphine", "attapulgite / pectin", "attapulgite / salicylic acid", "attapulgite / salicylic acid / sulfur,colloidal", "atuss ds", "aubagio", "aubra 28 day pack", "augmentin", "auralgan", "auranofin", "auraphene-b", "auro ear", "aurodex", "auroguard", "aurothioglucose", "aurothiomalate", "auryxia", "australian dream", "australian pine pollen extract", "austrian pine pollen extract", "autologous cultured chondrocytes", "auvi-q", "avagard", "avage", "availnex", "avalide", "avanafil", "avandamet", "avandaryl", "avandia", "avapro", "avar", "avastin", "avc brand of sulfanilamide", "aveed", "aveeno active naturals", "aveeno active naturals clear complexion", "aveeno active naturals nourish plus dandruff control", "aveeno active naturals skin relief", "aveeno anti-itch reformulated jun 2007", "aveeno baby", "aveeno baby diaper rash cream", "aveeno baby essential daily care baby and mommy gift set {1 (8 oz) (dimethicone 1.2 % topical lotion [aveeno baby]) / 1 (2.5 oz) (dimethicone 1.3 % topical lotion [aveeno active naturals skin relief]) } pack", "aveeno baby mommy & me gift set {2 (8 oz) (dimethicone 1.2 % topical lotion [aveeno baby]) / 1 (1.8 oz) (zinc oxide 13 % topical cream [aveeno baby diaper rash cream]) } pack", "aveeno clear", "aveeno clear complexion", "aveeno clear complexion daily cleansing", "aveeno healing ointment", "aveeno hydrocortisone anti-itch", "aveeno skin relief", "avelox", "avelox abc pack", "avena sativa flowering top extract", "avena sativa leaf extract", "avena sativa whole extract", "avens extract", "averrhoa carambola leaf extract", "averteax lip protector", "aviane 28 day pack", "avibactam", "avibactam / cefTAZidime", "avibactam sodium", "avicularia avicularia preparation", "avidoxy", "avilamycin", "AVINza", "avita", "avitears", "avobenzone", "avocado allergenic extract", "avocado oil", "avodart", "avonex", "avotermin", "avycaz", "axert", "axid", "axid ar", "axiron", "axitinib", "axsain", "aygestin", "ayr saline nasal", "azaCITIDine", "azactam", "azadirachta indica bark extract", "azadirachta indica flower extract", "azadirachta indica leaf extract", "azadirachta indica seed extract", "azadirachta indica seed oil", "azadirachta indica whole extract", "azasan", "azasite", "azatadine", "azatadine / pseudoephedrine", "azatadine maleate", "azaTHIOprine", "azaTHIOprine sodium", "azelaic acid", "azelamide monoethanolamine", "azelastine", "azelastine / fluticasone", "azelastine hydrochloride", "azelate", "azelate / cupric oxide / folic acid / niacinamide / pyridoxine / zinc oxide", "azelex", "azeloyl diglycinate", "azficel-t", "azidocillin", "azidocillin sodium", "azilect", "azilsartan", "azilsartan / chlorthalidone", "azilsartan kamedoxomil", "azilsartan medoxomil", "azintamide", "azintamide / scopolamine", "azithromycin", "azithromycin 250 mg oral tablet 6 count pack", "azithromycin 500 mg oral tablet 3 count pack", "azithromycin 500 mg oral tablet 6 count pack", "azithromycin anhydrous", "azithromycin dihydrate", "azithromycin monohydrate", "azlocillin", "azlocillin sodium", "azmacort", "azo urinary pain relief", "azo urinary tract defense", "azo-cranberry", "azo-gesic", "azo-standard max strength", "azopt", "azor", "azosemide", "aztec gold", "aztreonam", "azulfidine", "azurette 28 day pack", "b-12 resin", "b-3-50", "b-caro-t", "b-d glucose", "b-natal", "b-tuss", "b3-500-gr", "babassu oil", "babassu seed extract", "babee cof", "babesia microti preparation", "baby anti monkey butt diaper rash cream", "baby anti monkey butt diaper rash powder", "baby butz diaper rash", "baby orajel naturals for teething", "baby's butt aid", "babybig", "bacampicillin", "bacampicillin hydrochloride", "baci-im", "baciguent", "bacillus anthracis", "bacillus anthracis immunoserum rabbit", "bacillus anthracis strain v770-np1-r antigens", "bacillus cereus", "bacillus coagulans", "bacillus coagulans / inulin", "bacillus firmus", "bacillus polyfermenticus", "bacillus subtilis", "bacitracin", "bacitracin / benzocaine / tyrothricin", "bacitracin / dimethicone / zinc oxide", "bacitracin / diperodon / neomycin", "bacitracin / diperodon / neomycin / polymyxin b", "bacitracin / hydrocortisone / neomycin", "bacitracin / hydrocortisone / neomycin / polymyxin b", "bacitracin / lidocaine", "bacitracin / lidocaine / neomycin", "bacitracin / lidocaine / neomycin / polymyxin b", "bacitracin / lidocaine / polymyxin b", "bacitracin / neomycin / polymyxin b", "bacitracin / neomycin / polymyxin b / pramoxine", "bacitracin / polymyxin b", "bacitracin / polymyxin b / pramoxine", "bacitracin / pramoxine", "bacitracin / tixocortol", "bacitracin methylene disalicylate", "bacitracin zinc", "bacitraycin plus", "bacitraycin plus max strength", "backaid", "backaid ipf", "backhousia citriodora leaf extract", "backhousia citriodora whole extract", "backprin", "baclezene", "baclofen", "bacopa monniera leaf extract", "bactimicina", "bactimicina allergy", "bactimicina childrens cough & cold", "bactimicina sore throat", "bactine", "bactoshield", "bactracillin g", "bactracillin g benzathine", "bactrim", "bactroban", "baczol expectorant", "bahia grass pollen extract", "baicalein", "baicalin", "baker's yeast (saccharomyces cerevisiae) allergenic extract", "baker's yeast allergenic extract", "bakuchiol", "bal in oil", "balanites roxburghii seed oil", "bald cypress pollen extract", "bald-faced hornet venom protein", "bald-faced hornet venom protein / common wasp venom protein / eastern yellowjacket venom protein / german wasp venom protein / southern yellowjacket venom protein / western yellowjacket venom protein / yellow hornet venom protein", "ballota foetida extract", "balmex", "balmex ointment", "balnetar", "balsalazide", "balsalazide disodium", "balsam fir leefy twig extract", "balsam poplar pollen extract", "balziva 28 day pack", "bambermycins", "bamboo extract", "bambusa arundinacea leaf extract", "bambusa arundinacea stem extract", "bambusa bambos whole extract", "bambusa textilis stem extract", "bambusa vulgaris leaf extract", "bambusa vulgaris sap extract", "bambusa vulgaris stem extract", "bambusa vulgaris top extract", "bambusa vulgaris whole extract", "bambuterol", "bambuterol hydrochloride", "bamethan", "bamethan / escin", "bamethan / niacin", "bamethan / troxerutin", "bamethan succinate", "bamethan sulfate", "bamifylline", "bamifylline hydrochloride", "bamipine", "bamipine hcl", "bamipine lactate", "banadyne", "banalg", "banamine", "banana allergenic extract", "banana extract", "banana extract / potassium / watermelon preparation", "bancha tea, leaf, twig preparation", "band-aid anti-itch", "band-aid hurt-free", "baneol cleanser", "banophen", "banophen cream", "banzel", "baptisia tinctoria extract", "baptisia tinctoria root extract", "baraclude", "barbasco extract", "barberry extract", "barbexaclone", "barbital", "barbital / pyrilamine", "barbital / valerian root extract", "barbital sodium", "baridium", "barium", "barium acetate", "barium carbonate", "barium cation", "barium chloride", "barium chloride, dihydrate", "barium chromate", "barium citrate", "barium iodate", "barium iodide", "barium oxalate", "barium oxalosuccinate", "barium oxide", "barium sulfate", "barleria prionitis whole extract", "barley (whole grain) allergenic extract", "barley allergenic extract", "barley bran", "barley extract", "barley grain", "barley malt allergenic extract", "barley malt syrup", "barley smut extract", "barnidipine hcl", "barri-care", "barrier-dyne", "bartonella bacilliformis", "bartonella clarridgeiae", "bartonella elizabethae", "bartonella henselae", "bartonella quintana", "bartonella vinsonii", "bartonella washoensis", "basic aluminum carbonate gel", "basic fuchsin", "basic yellow 57", "basil allergenic extract", "basil oil", "basiliximab", "bassia scoparia fruit extract", "batilol", "bay leaf allergenic extract", "bay leaf extract", "bay leaf oil", "bay oil (pimenta racemosa)", "baycadron", "bayer aspirin", "bayer aspirin pm reformulated nov 2011", "bayer back and body pain", "bayer headache relief", "bayer migraine", "bayer muscle and joint cream", "bayer select decongestant", "bayer womens", "baygam", "bayhep b", "baytril", "baytril otic", "baza", "baza cleanse and protect", "baza clear", "baza-protect", "bazedoxifene", "bazedoxifene / estrogens, conjugated (usp)", "bazedoxifene acetate", "bc arthritis", "bc original formula", "bcg vaccine", "bcg, live, connaught strain", "bcg, live, montreal strain", "bcg, live, tice strain", "bd persist", "beach strawberry extract", "bean extract", "bean pod extract", "bean pod extract / green tea extract", "bean sprout extract", "beano", "beano dairy defense", "bearberry preparation", "bebulin", "becaplermin", "beclamide", "beclomethasone", "beclomethasone / clioquinol", "beclomethasone 17-monopropionate", "beclomethasone dipropionate", "beclomethasone dipropionate monohydrate", "beclovent", "beconase", "bedaquiline", "bedaquiline fumarate", "bedside-care", "bee pollen", "bee pollen / ginseng preparation", "bee pollen / korean ginseng preparation / royal jelly", "bee pollen / royal jelly", "beech pollen extract", "beef allergenic extract", "beef heart preparation", "beef kidney preparation", "beef liver allergenic extract", "beef liver preparation", "beef lung preparation", "beef tallow preparation", "beef tongue preparation", "beegentle", "beelith", "beeswax", "beeswax / boswellia preparation / momordicae / myrrh extract", "beets preparation", "behenamidopropyl dimethylamine behenate", "behenamidopropyltrimonium methosulfate", "behenate", "beheneth-10", "beheneth-20", "beheneth-25", "behenic acid", "behenoyl hydroxyproline", "behentrimonium", "behentrimonium chloride", "behentrimonium methosulfate", "behenyl behenate", "behenyl benzoate", "behenyl erucate", "behenyl olivate", "behenyl phosphate", "bekyree 28 day pack", "belatacept", "belbuca", "beleodaq", "belimumab", "belinostat", "belladonna alkaloids", "belladonna alkaloids / caffeine", "Belladonna Alkaloids / Caffeine / Ergotamine / PENTobarbital", "Belladonna Alkaloids / Caffeine / Ergotamine / PHENobarbital", "belladonna alkaloids / chlorpheniramine / phenylephrine / phenylpropanolamine", "belladonna alkaloids / chlorpheniramine / pseudoephedrine", "Belladonna Alkaloids / Ergotamine / PHENobarbital", "Belladonna Alkaloids / Kaolin / PHENobarbital", "belladonna alkaloids / opium", "Belladonna Alkaloids / PHENobarbital", "belladonna alkaloids / simethicone", "belladonna extract, usp", "belladonna extract, usp / butabarbital", "belladonna extract, usp / charcoal", "belladonna extract, USP / Chlorpheniramine / ePHEDrine / PHENobarbital", "belladonna extract, usp / chlorpheniramine / pheniramine / phenylpropanolamine", "belladonna extract, usp / chlorpheniramine / phenylephrine / pyrilamine", "belladonna extract, USP / ePHEDrine", "belladonna extract, usp / methenamine / salicylamide", "belladonna extract, usp / opium", "belladonna extract, USP / PHENobarbital", "belladonna leaf", "bellis perennis extract", "bellis perennis flower extract", "belsomra", "belviq", "bemiparin", "bemiparin sodium", "bemotrizinol", "benactyzine", "benactyzine / benorilate", "benactyzine / meprobamate", "benactyzine hydrochloride", "benadryl", "benadryl children's anti-itch", "benadryl itch stopping", "benadryl-d allergy and sinus", "benadryl-d fastmelt allergy and sinus", "benazepril", "benazepril / hydrochlorothiazide", "benazepril hydrochloride", "benazeprilat", "bencocaine", "bencyclane", "bencyclane fumarate", "bendamustine", "bendamustine hydrochloride", "bendroflumethiazide", "Bendroflumethiazide / cloNIDine", "bendroflumethiazide / meprobamate", "bendroflumethiazide / nadolol", "bendroflumethiazide / papaverine / rauwolfia preparation", "bendroflumethiazide / potassium", "bendroflumethiazide / potassium chloride", "bendroflumethiazide / propranolol", "bendroflumethiazide / rauwolfia preparation", "bendroflumethiazide / reserpine", "bendroflumethiazide / spironolactone", "bendroflumethiazide / timolol", "benefiber", "benefix", "benfluorex", "benfluorex hydrochloride", "bengay", "bengay arthritis", "bengay original", "bengay ultra", "benicar", "benicar hct", "benincasa hispida fruit extract", "benincasa hispida seed extract", "benlysta", "benoquin", "benorilate", "benoxinate", "benoxinate hydrochloride", "benoxyl", "benoxyldoxy 30 kit", "benoxyldoxy 60 kit", "benperidol", "benphothiamine", "benphothiamine / vitamin b6", "benproperine", "benproperine pamoate", "bensal", "benserazide", "benserazide / levodopa", "benserazide hydrochloride", "bentasil", "bentasil eucalyptus", "bentiromide", "bentonite", "bentonite / goldenseal extract / symphytum uplandicum leaf extract", "bentonite / sulfur / triclosan", "bentoquatam", "bentyl", "benylin", "benylin multi-symptom", "benz-all", "benz-o-sthetic", "benzac", "benzac acne solutions", "benzaclin", "benzacot", "benzaldehyde", "benzalkonium", "benzalkonium / benzethonium", "benzalkonium / benzocaine", "benzalkonium / benzocaine / hexylresorcinol", "benzalkonium / benzocaine / menthol", "benzalkonium / benzocaine / zinc chloride", "benzalkonium / benzyl alcohol", "benzalkonium / boric acid", "benzalkonium / camphor", "benzalkonium / cetrimide", "benzalkonium / chlorhexidine / n-alkyl ethylbenzyl dimethyl ammonium (c12-c14)", "benzalkonium / chloroxylenol / hydrocortisone", "benzalkonium / chloroxylenol / pramoxine", "benzalkonium / dimethicone", "benzalkonium / ethanol", "benzalkonium / glycerin", "benzalkonium / hexylresorcinol / zinc chloride", "benzalkonium / idoxuridine", "benzalkonium / idoxuridine / lidocaine", "benzalkonium / laureth-9 / mepivacaine", "benzalkonium / lidocaine", "benzalkonium / lidocaine / urea", "benzalkonium / menthol", "benzalkonium / menthol / petrolatum", "benzalkonium / mineral oil / triclosan", "benzalkonium / n-alkyl ethylbenzyl dimethyl ammonium (c12-c14)", "benzalkonium / pantothenic acid", "benzalkonium / polyethylenes", "benzalkonium / pramoxine", "benzalkonium / salicylic acid", "benzalkonium / tolnaftate", "benzalkonium / tyloxapol", "benzalkonium / urea", "benzalkonium bromide", "benzalkonium chloride", "benzalkonium chloride (in water)", "benzamycin", "benzarone", "benzathine cloxacillin", "benzbromarone", "benzedrex", "benzefoam", "benzene", "benzenesulfonate", "benzenesulfonic acid", "benzenesulfonic acid / hydrogen peroxide / lactate", "benzepro", "benzethonium", "benzethonium / benzocaine", "benzethonium / benzocaine / menthol", "benzethonium / chlorhexidine", "benzethonium / dimethicone", "Benzethonium / diphenhydrAMINE / Hydrocortisone", "Benzethonium / diphenhydrAMINE / Zinc acetate", "benzethonium / dyclonine", "Benzethonium / EPINEPHrine", "benzethonium / laureth-9 / urea", "benzethonium / lidocaine", "benzethonium / menthol", "benzethonium chloride", "benzilic acid", "benzimidazole", "benziq", "benziq ls", "benzo-jel", "benzoate", "benzoate / caffeine", "benzoate / codeine", "benzoate / guaiacolsulfonate", "benzoate / hyoscyamine / methenamine / methylene blue / phenyl salicylate", "benzoate / phenylacetate", "benzoate / salicylic acid", "benzocaine", "benzocaine / benzyl benzoate", "benzocaine / bismuth subgallate / zinc oxide", "benzocaine / bismuth subnitrate / cerium oxalate", "benzocaine / boric acid", "benzocaine / butamben / tetracaine", "benzocaine / butetamate", "benzocaine / calamine", "benzocaine / calamine / camphor", "Benzocaine / Calcium Carbonate / magnesium carbonate / PHENobarbital", "benzocaine / camphor / phenol", "benzocaine / capsaicin / lidocaine / methyl salicylate", "benzocaine / capsaicin / menthol / methyl salicylate", "benzocaine / cetalkonium chloride", "benzocaine / cetylpyridinium", "benzocaine / cetylpyridinium / menthol", "benzocaine / cetylpyridinium / menthol / tannic acid", "benzocaine / cetylpyridinium / menthol / zinc chloride", "benzocaine / cetylpyridinium / sulfachrysoidine", "benzocaine / cetylpyridinium / zinc chloride", "benzocaine / chloramphenicol", "benzocaine / chlorhexidine", "benzocaine / chloroxylenol", "benzocaine / chloroxylenol / hydrocortisone", "benzocaine / chloroxylenol / isopropyl alcohol / resorcinol / salicylic acid", "benzocaine / chloroxylenol / zinc oxide", "benzocaine / clove oil", "benzocaine / coal tar / salicylic acid", "benzocaine / compound benzoin tincture (usp)", "benzocaine / dequalinium", "benzocaine / dequalinium / tyrothricin", "benzocaine / dextromethorphan", "benzocaine / dextromethorphan / glycerin", "benzocaine / dextromethorphan / menthol", "benzocaine / diosmin", "benzocaine / docusate", "Benzocaine / ePHEDrine", "benzocaine / ethacridine", "benzocaine / ethanol", "benzocaine / ethanol / methylbenzethonium", "benzocaine / ethanol / tannic acid", "benzocaine / glycerin", "benzocaine / glycerin / menthol", "benzocaine / hexylresorcinol", "benzocaine / ichthammol", "benzocaine / isopropyl alcohol", "benzocaine / isopropyl alcohol / menthol", "benzocaine / lapyrium / tyrothricin", "benzocaine / licorice / menthol", "benzocaine / lindane", "benzocaine / magnesium sulfate", "benzocaine / menthol", "benzocaine / menthol / methyl salicylate", "benzocaine / methyl salicylate", "benzocaine / methylbenzethonium", "benzocaine / methylcellulose", "benzocaine / nitrofurazone / tyrothricin", "benzocaine / oxyquinoline", "benzocaine / pectin", "benzocaine / petrolatum", "benzocaine / phenol", "benzocaine / phenylephrine", "benzocaine / phenylephrine / phenylpropanolamine", "benzocaine / phenylpropanolamine", "benzocaine / pyrilamine", "benzocaine / pyrilamine / zinc oxide", "benzocaine / resorcinol", "benzocaine / salicylamide", "benzocaine / salicylic acid", "benzocaine / sulfur", "benzocaine / tannic acid", "benzocaine / tetracaine", "benzocaine / triclosan", "benzocaine / trimethobenzamide", "benzocaine / tyrothricin", "benzocaine / zinc chloride", "benzocaine / zinc oxide", "benzocaine / zinc sulfate", "benzocaine / zirconium oxide", "benzocaine hydrochloride", "benzodent", "benzododecinium bromide", "benzododecinium chloride", "benzoic acid", "benzoin", "benzonatate", "benzonidazole", "benzophenone", "benzophenone-2", "benzophenone-5", "benzophenone-9", "benzoresorcinol", "benzotriazolyl butylphenol sulfonate", "benzotriazolyl dodecyl p-cresol", "benzoxiquine", "benzoxiquine / ichthammol", "benzoxonium", "benzoxonium / lidocaine", "benzoxonium chloride", "benzoyl peroxide", "benzoyl peroxide / clindamycin", "benzoyl peroxide / colloid sulfur", "benzoyl peroxide / erythromycin", "benzoyl peroxide / hydrocortisone", "benzoyl peroxide / miconazole", "benzoyl peroxide / oxyquinoline", "benzoyl peroxide / salicylic acid", "benzoyl peroxide / salicylic acid / sulfur", "benzoyl peroxide / sulfur", "benzoyl peroxide 5 % medicated pad / salicylic acid 2 % medicated pad", "benzoyl-plus", "benzphetamine", "benzphetamine hydrochloride", "benzquercin", "benzquinamide", "benzquinamide hydrochloride", "benzthiazide", "benzthiazide / reserpine", "benzthiazide / triamterene", "benztropine", "benztropine mesylate", "benzydamine", "benzydamine / bromhexine", "benzydamine / cetylpyridinium", "benzydamine / dipyrone", "benzydamine / hexetidine", "benzydamine hydrochloride", "benzyl acetate", "benzyl alcohol", "Benzyl Alcohol / Calamine / diphenhydrAMINE", "benzyl alcohol / camphor / menthol", "benzyl alcohol / isopropyl alcohol / picrate / tannic acid", "benzyl alcohol / lidocaine", "benzyl alcohol / menthol", "benzyl alcohol / pramoxine", "benzyl alcohol / sodium chloride", "benzyl alcohol / zinc acetate", "benzyl benzoate", "benzyl benzoate / monosulfiram", "benzyl benzoate / permethrin", "benzyl chloride", "benzyl cinnamate", "benzyl nicotinamide", "benzyl pca", "benzyl salicylate", "benzylidene dimethoxydimethylindanone", "benzylparaben", "benzylparaben / propylparaben", "benzylpenicilloyl polylysine", "benzylthiouracil", "bepotastine", "bepotastine besilate", "bepreve", "bepridil", "bepridil hydrochloride", "beractant", "berberex wound cleanser", "berberine", "berberine / cholecalciferol / hops extract / vitamin k", "berberis vulgaris fruit extract", "berberis vulgaris root bark extract", "berberis vulgaris root extract", "berberis vulgaris whole extract", "bergamot oil", "bergamot orange extract", "berinert", "bermuda grass pollen extract", "bermuda grass pollen extract / timothy grass pollen extract", "bermuda grass smut extract", "bermuda grass smut extract / johnson grass smut extract", "berri-freez", "beryllium", "besifloxacin", "besivance", "beta carotene", "beta carotene / bilberry extract", "beta carotene / vitamin a", "beta carotene / vitamin e", "beta med", "beta sitosterol", "beta sitosterol / campesterol / stigmasterol", "beta sitosterol / guggul lipids", "beta sitosterol / zinc citrate", "beta vulgaris extract", "beta-alanine", "beta-alanine / oxazepam", "beta-bisabolol", "beta-citronellol, (+-)-", "beta-citronellol, (r)-", "beta-d-galactopyranose", "beta-d-glucopyranose", "beta-d-ribose", "beta-escin", "beta-hc", "beta-resorcylic acid", "beta-sitosteryl sulfate", "beta-thujaplicin", "betaderm", "betadex", "betadine", "betagan", "betagen brand of betamethasone and gentamicin", "betahistine", "betahistine hydrochloride", "betahistine mesylate", "betaine", "betaine / bromelains / pancreatin / papain / pepsin a", "betaine / endopeptidases", "betaine / folic acid / mecobalamin / pyridoxine", "betaine / glutamate / methylcellulose", "betaine / glutamate / ox bile extract", "betaine / glutamate / pepsin a", "betaine / iodine / papain / pepsin a", "betaine / pepsin a", "betaine citrate", "betaine hydrochloride", "betaine salicylate", "betaine, anhydrous", "betamethasone", "betamethasone / betamethasone acetate", "betamethasone / calcipotriene", "betamethasone / chlorpheniramine", "betamethasone / clioquinol", "betamethasone / clotrimazole", "betamethasone / clotrimazole / gentamicin", "betamethasone / clotrimazole / gentamicin sulfate (usp)", "betamethasone / dexchlorpheniramine", "betamethasone / diclofenac / vitamin b 12", "betamethasone / diphenylpyraline", "betamethasone / fusidate", "betamethasone / gentamicin sulfate (usp)", "betamethasone / gentamicin sulfate (usp) / miconazole", "betamethasone / gentamicin sulfate (usp) / tolnaftate", "betamethasone / hydroquinone / tretinoin", "betamethasone / loratadine", "betamethasone / magnesium trisilicate", "betamethasone / neomycin", "betamethasone / salicylic acid", "betamethasone / sulfacetamide", "betamethasone / terfenadine", "betamethasone / vitamin b 12", "betamethasone acetate", "betamethasone acetate / betamethasone sodium phosphate", "betamethasone benzoate", "betamethasone dipropionate", "betamethasone dipropionate / betamethasone sodium phosphate", "betamethasone dipropionate, augmented", "betamethasone sodium phosphate", "betamethasone valerate", "betanate", "betapace", "betasal", "betasept", "betaseron", "betasizofiran", "betatar gel", "betavent", "betavet", "betaxolol", "betaxolol / pilocarpine", "betaxolol hydrochloride", "bethanechol", "bethanechol chloride", "bethanidine", "bethanidine sulfate", "bethkis", "betimol", "betoptic", "betoptic pilo", "betoptic s", "betula pendula bark extract", "betula pendula leaf extract", "betula pendula tar oil", "betula pendula wood extract", "betula platyphylla var japonica resin", "betula platyphylla var. japonica bark extract", "betula pubescens bark extract", "betula pubescens flower bud extract", "betula pubescens leaf extract", "betula pubescens resin", "beuthanasia", "bevacizumab", "bexarotene", "bexsero", "bextra", "bexxar tositumomab dosimetric packaging", "bexxar tositumomab therapeutic packaging", "beyaz 28 day pack", "bezafibrate", "bf-paradac", "biaxin", "biaxin xl pac 14 tablet pack", "bicalutamide", "bicarbonate ion", "bicarsim", "bicillin", "bicillin l-a", "bicisate", "bicisate dihydrochloride", "biclora", "biclora-d", "biclotymol", "biclotymol / chlorpheniramine / phenylephrine", "bicnu", "bidens bipinnata top extract", "bidens bipinnata whole extract", "bidens pilosa whole extract", "bidens tripartita flowering top extract", "bidex", "bidex-dm", "bidil", "bifemelane", "bifera", "biferarx", "bifidobacterium animalis", "bifidobacterium bifidum", "bifidobacterium bifidum / bifidobacterium lactis / lactobacillus acidophilus / lactobacillus casei rhamnosus", "bifidobacterium bifidum / bifidobacterium longum", "bifidobacterium infantis", "bifidobacterium lactis", "bifidobacterium lactis / bifidobacterium longum / lactobacillus acidophilus", "bifidobacterium lactis / lactobacillus acidophilus / lactobacillus casei rhamnosus", "bifidobacterium longum", "bifonazole", "bifonazole / diphenhydrAMINE", "bifonazole / urea", "bigeloil", "bilberry extract", "bilberry extract / bioflavonoids / quercetin / rutin", "bilberry extract / black pepper preparation", "bilberry extract / calcium citrate / magnesium glycinate / potassium citrate / vitamin e", "bilberry extract / grape seed", "bilberry extract / lutein", "bilberry extract / vitamin a / vitamin e", "bilberry seed extract", "bilberry seed oil", "bile salts", "bile salts / cynara preparation", "bile salts / pancreatin / pepsin a", "biltricide", "bimatoprost", "bimectin", "binaca", "binaca fluoride anticavity", "binetrakin", "binosto", "bio-mycin", "bio-statin", "bio-throid", "bioallethrin", "bioallethrin / piperonyl butoxide", "bioblast", "biochemistry heel no pain", "biocorneum", "bioease pain relieving cold therapy", "bioflavonoid, lemon", "bioflavonoids", "bioflavonoids / grape seed extract", "bioflavonoids / grape seed proanthocyanidins", "bioflavonoids / horse chestnut preparation", "bioflavonoids / pentoxifylline", "bioflavonoids / quercetin / vitis extract", "bioflexor", "biofreeze", "biogaia", "biokera", "biolon", "biomox", "bion tears", "bionect", "biore", "biosaccharide gum-1", "biosaccharide gum-2", "biosaccharide gum-4", "biotene dry mouth", "biotene dry mouth fluoride", "biothrax", "biotin", "biotin / calcium carbonate", "biotin / chromium picolinate", "biotin / cysteine / silicon dioxide", "biotin / dexpanthenol / niacinamide / zinc pyrithione", "biotin / dicalcium phosphate", "biotin / folic acid / magnesium oxide / pantothenate / vitamin a / vitamin e", "biotin / niacinamide / panthenol / zinc pyrithione", "biotin / nicotinamide adenine dinucleotide (nad) / panthenol / zinc pyrithione", "biotin / panthenol", "biotinoyl tripeptide-1", "biotuss dm", "biotussin", "biozide", "biperiden", "biperiden hydrochloride", "biperiden lactate", "bird pepper extract", "bis(1-methylamyl) sodium sulfosuccinate", "bis(1-methylamyl) sulfosuccinate", "bis-diglyceryl polyacyladipate-2", "bis-ethoxydiglycol succinate", "bis-ethylhexyl hydroxydimethoxy benzylmalonate", "bis-hydroxyethoxypropyl dimethicone (37 cst)", "bis-hydroxyethoxypropyl dimethicone (50 cst)", "bis-isobutylene ppg-20", "bis-peg ppg-16-16 peg-ppg-16-16 dimethicone", "bis-peg-10 dimethicone dimer dilinoleate copolymer", "bis-peg-12 dimethicone (500 mpa.s)", "bis-peg-18 methyl ether dimethyl silane", "bis-peg-ppg-14-14 dimethicone", "bis-phenylpropyl dimethicone (15 cst)", "bisabolol", "bisac-evac", "bisacodyl", "bisacodyl / casanthranol", "bisacodyl / docusate", "bisacodyl / simethicone", "bisacodyl / tannic acid", "bisco-lax", "bisdequalinium", "bisdequalinium / prednisoLONE", "bisdequalinium diacetate", "bishydroxyethyl dihydroxypropyl stearammonium", "bishydroxyethyl dihydroxypropyl stearammonium chloride", "bismarex", "bismusal", "bismuth", "bismuth / naphazoline", "bismuth / pectin", "bismuth aluminate", "bismuth aluminate / docusate", "bismuth aluminate / magnesium trisilicate", "bismuth biskalcitrate", "Bismuth biskalcitrate / metroNIDAZOLE / Tetracycline", "bismuth camphocarbonate", "BISMUTH CAMPHOCARBONATE / guaiFENesin", "bismuth carbonate", "bismuth carbonate / simethicone", "bismuth cation", "bismuth chloride oxide", "BISMUTH CHLORIDE OXIDE / prednisoLONE / Zinc Oxide", "bismuth dipropylacetate", "bismuth hydroxide", "bismuth hydroxide / pectin", "bismuth oxide", "bismuth oxychloride", "bismuth subcarbonate", "bismuth subcarbonate / kaolin / pectin", "bismuth subcarbonate / morphine", "bismuth subcitrate", "bismuth subcitrate / metroNIDAZOLE / Tetracycline", "bismuth subcitrate potassium", "bismuth subgallate", "bismuth subgallate / butoxycaine / zinc oxide", "bismuth subgallate / hydrocortisone", "bismuth subgallate / mepenzolate / phthalylsulfathiazole", "bismuth subgallate / phthalylsulfathiazole", "bismuth subnitrate", "bismuth subnitrate / calcium carbonate / magnesium carbonate", "bismuth subnitrate / cerium oxalate", "bismuth subnitrate / laureth-9 / zinc oxide", "bismuth subsalicylate", "bismuth subsalicylate / calcium carbonate", "bismuth subsalicylate / kaolin", "bismuth tribromophenate", "bismuth-formic-iodide", "bisoctrizole", "bisoprolol", "bisoprolol / hydrochlorothiazide", "bisoprolol fumarate", "bisphenol a", "bitolterol", "bitolterol mesylate", "bitter almond extract", "bitter almond oil", "bitter apple preparation", "bitter dock pollen extract", "bitter fennel extract", "bitter orange oil", "bitternut hickory pollen extract", "bittersweet extract", "bivalirudin", "bivigam", "bixa orellana seed extract", "bixa orellana seed oil", "black alder pollen extract", "black carrot anthocyanins extract", "black catechu extract", "black cohosh extract", "black cohosh extract / magnesium oxide / st. john's wort extract", "black cohosh root extract", "black cottonwood pollen extract", "black currant juice extract", "black currant oil", "black currant oil / vitamin e", "black currant preparation", "black currant preparation / sodium citrate", "black draught", "black imported fire ant allergenic extract", "black imported fire ant allergenic extract / red imported fire ant allergenic extract", "black locust pollen extract", "black mustard seed extract", "black mustard whole extract", "black oak pollen extract", "black olive allergenic extract", "black pepper allergenic extract", "black pepper oil", "black pepper preparation", "black pepper preparation / echinacea preparation", "black pepper preparation / guggul lipids", "black walnut allergenic extract", "black walnut leaves extract", "black walnut pollen extract", "black widow spider preparation", "black widow spider venom", "black willow pollen extract", "black-eyed pea allergenic extract", "blackberry allergenic extract", "blackberry flavor", "blackfoot abalone extract", "blade", "blancophor r", "blastocystis hominis", "blatta orientalis preparation", "blemish buster", "bleomycin", "bleomycin sulfate", "bleph-10", "blephamide", "bletilla striata bulb extract", "bletilla striata whole extract", "blinatumomab", "blincyto", "blink tears", "blis-to-sol", "blis-to-sol powder", "blisovi 24 fe 1/20 28 day pack", "blister armour", "blister blaster", "blistex", "blistex cold & allergy lip soother", "blistex kanka", "blistex kanka soft brush", "blistex kanka solution", "blistex medicated lip", "blistex odor-eaters powder", "blitum bonus-henricus pollen extract", "blockade", "blood stop", "bloxiverz", "blu shield teat dip", "blu-kote", "blue beech pollen extract", "blue cohosh extract", "blue crab preparation", "blue spruce pollen extract", "blue-emu anti-itch", "blue-emu arthritis pain relief", "blue-emu pain relief", "blueberry allergenic extract", "blueberry extract", "bluefish allergenic extract", "bluemax", "boceprevir", "bodyglide", "boerhavia diffusa root extract", "boil-ease", "boletus luridus fruiting body extract", "boletus satanas fruiting body extract", "bombyx mori larva preparation", "bone meal", "bonine", "bonine for kids", "boniva", "bontril", "boostrix", "booty goo", "bopindolol", "bopindolol hydrogen malonate", "borage extract", "borage extract / red clover preparation / salicin extract", "borage oil", "borage oil / docosahexaenoate / eicosapentaenoate", "borage oil / gamma linoleic acid", "borage oil / gamma-linolenate", "borage oil / gamma-linolenate / linoleate", "borago officinalis flower extract", "borago officinalis seed extract", "borago officinialis whole extract", "borate ion", "bordetella pertussis", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated / bordetella pertussis fimbriae 2/3 vaccine, inactivated / bordetella pertussis pertactin vaccine, inactivated / bordetella pertussis toxoid vaccine, inactivated / diphtheria toxoid vaccine, inactivated / poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett) / tetanus toxoid vaccine, inactivated", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated / bordetella pertussis fimbriae 2/3 vaccine, inactivated / bordetella pertussis pertactin vaccine, inactivated / bordetella pertussis toxoid vaccine, inactivated / diphtheria toxoid vaccine, inactivated / tetanus toxoid vaccine, inactivated", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated / bordetella pertussis pertactin vaccine, inactivated / bordetella pertussis toxoid vaccine, inactivated / diphtheria toxoid vaccine, inactivated / poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett) / tetanus toxoid vaccine, inactivated", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated / bordetella pertussis pertactin vaccine, inactivated / bordetella pertussis toxoid vaccine, inactivated / diphtheria toxoid vaccine, inactivated / tetanus toxoid vaccine, inactivated", "bordetella pertussis filamentous hemagglutinin vaccine, inactivated / bordetella pertussis toxoid vaccine, inactivated / diphtheria toxoid vaccine, inactivated / tetanus toxoid vaccine, inactivated", "bordetella pertussis fimbriae 2/3 vaccine, inactivated", "bordetella pertussis pertactin vaccine, inactivated", "bordetella pertussis toxoid vaccine, inactivated", "boric acid", "boric acid / chlorocresol / zinc oxide", "boric acid / coal tar", "boric acid / oleate", "boric acid / phenol", "boric acid / phenylephrine", "boric acid / zinc oxide", "born to be mild", "bornaprine", "bornaprine hydrochloride", "borneol", "borneol / menthol", "bornyl acetate", "borofair", "borogluconate", "boroglycerin", "boroleum", "boron", "boron / calcium carbonate", "boron / calcium carbonate / cholecalciferol / folic acid / magnesium oxide / pyridoxine / vitamin b 12", "boron citrate", "boron gluconate", "boron nitride", "borrelia burgdorferi", "bortezomib", "bos taurus achilles tendon preparation", "bos taurus adrenal gland preparation", "bos taurus ankle joint preparation", "bos taurus artery preparation", "bos taurus bile preparation", "bos taurus bone marrow preparation", "bos taurus bone preparation", "bos taurus brain preparation", "bos taurus brainstem preparation", "bos taurus cartilage preparation", "bos taurus cerebelum preparation", "bos taurus colon preparation", "bos taurus colostrum preparation", "bos taurus conjunctiva preparation", "bos taurus duodenum preparation", "bos taurus esophagus preparation", "bos taurus eye preparation", "bos taurus frontal lobe preparation", "bos taurus gallbladder preparation", "bos taurus hip joint preparation", "bos taurus hippocampus preparation", "bos taurus hypothalamus preparation", "bos taurus intervertebral disc preparation", "bos taurus intestinal mucosa preparation", "bos taurus joint capsule preparation", "bos taurus knee joint preparation", "bos taurus ligament preparation", "bos taurus limbic system preparation", "bos taurus lymph preparation", "bos taurus lymph vessel preparation", "bos taurus mammary gland preparation", "bos taurus mesencephalon preparation", "bos taurus mesenchyme preparation", "bos taurus nasal mucosa preparation", "bos taurus nerve preparation", "bos taurus ovary preparation", "bos taurus pancreas preparation", "bos taurus parasympathetic nerve preparation", "bos taurus parathyroid gland preparation", "bos taurus peyer's patch preparation", "bos taurus pineal gland preparation", "bos taurus pituitary gland preparation", "bos taurus placenta preparation", "bos taurus prostate gland preparation", "bos taurus red blood cell preparation", "bos taurus solar plexus preparation", "bos taurus somatic nerve preparation", "bos taurus spinal cord preparation", "bos taurus spleen preparation", "bos taurus sympathetic nerve preparation", "bos taurus tendon preparation", "bos taurus testicle preparation", "bos taurus thymus preparation", "bos taurus tonsil preparation", "bos taurus urinary bladder preparation", "bos taurus uterus preparation", "bos taurus vein preparation", "bosentan", "bosentan anhydrous", "bosentan monohydrate", "bosulif", "bosutinib", "bosutinib monohydrate", "boswellia preparation", "boswellia sacra bark extract", "boswellia sacra whole extract", "boswellia serrata resin oil", "boswellia serrata whole extract", "bothrops atrox venom", "botox", "botox cosmetic", "botryoglossum platycarpum extract", "botrytis cinerea extract", "bottlebrush pollen extract", "botulinum neurotoxin a immune fab2", "botulinum neurotoxin a immune fab2 / botulinum neurotoxin b immune fab2 / botulinum neurotoxin c immune fab2 / botulinum neurotoxin d immune fab2 / botulinum neurotoxin e immune fab2 / botulinum neurotoxin f immune fab2 / botulinum neurotoxin g immune fab2", "botulinum neurotoxin a immune fab2, equine", "botulinum neurotoxin b immune fab2", "botulinum neurotoxin b immune fab2, equine", "botulinum neurotoxin c immune fab2", "botulinum neurotoxin c immune fab2, equine", "botulinum neurotoxin d immune fab2", "botulinum neurotoxin d immune fab2, equine", "botulinum neurotoxin e immune fab2", "botulinum neurotoxin e immune fab2, equine", "botulinum neurotoxin f immune fab2", "botulinum neurotoxin f immune fab2, equine", "botulinum neurotoxin g immune fab2", "botulinum neurotoxin g immune fab2, equine", "botulinum toxin type a", "botulism antitoxin a", "botulism antitoxin e", "botulism antitoxin triv a,b&e", "botulism immune globulin iv human", "boudreauxs butt paste", "boudreauxs rash protector", "bovadine", "bovapro", "bovine cartilage extract", "bovine cartilage extract / shark cartilage extract", "bowfin preparation", "box elder maple pollen extract", "box elder maple pollen extract / hard maple pollen extract / red maple pollen extract", "boy butter", "bp cleansing wash", "brace relief", "brain-derived neurotrophic factor", "brain-derived neurotrophic factor, human", "bran", "branchamin", "brassica juncea seed oil", "brassica napus oil", "brassica oleracea var. italica whole extract", "brassica rapa subsp. rapa seed extract", "brassica rapa var. rapa extract", "brassica rapa var. rapa oil", "bravecto", "bravelle", "brazil nut allergenic extract", "brazil nut oil", "brazillian pepper extract", "bread mold fungus extract", "breath-away", "breathe free saline", "breathe the sea", "breathrx", "breezee mist", "brentuximab vedotin", "breo", "brethine", "bretylium", "bretylium tosylate", "brevibacterium stationis", "brevibloc", "brevicon 28 day pack", "brevital", "brevoxyl", "brewer's yeast allergenic extract", "brexpiprazole", "briellyn 28 day pack", "brilinta", "brillant blue", "brilliant blue fcf", "brilliant green", "brilliant green / cod liver oil / gentian violet", "brilliant green / gentian violet", "brilliant green / gentian violet / proflavine", "brilliant green / lactate", "brilliant green cation", "brimonidine", "brimonidine / brinzolamide", "brimonidine / timolol", "brimonidine tartrate", "brine shrimp extract", "brintellix", "brinzolamide", "brioschi", "brioschi antacid", "brisdelle", "brivudine", "broad leaved paperbark pollen extract", "broadleaf cattail pollen extract", "broadleaf plantain pollen extract", "broccoli allergenic extract", "broccoli preparation", "broccoli seed oil", "broccoli sprout extract", "broda acne spa", "brodimoprim", "bromaline reformulated jun 2008", "bromax", "bromaxefed rf", "bromazepam", "bromazepam / clebopride / simethicone", "bromazepam / domperidone / simethicone", "bromazepam / trimebutine", "bromazepam / veralipride", "bromday", "bromelains", "bromelains / papain", "bromelains / papain / trypsin", "bromelains / trypsin", "bromfed", "bromfed dm", "bromfenac", "bromfenac sodium", "bromhexine", "bromhexine / butetamate", "bromhexine / cefaclor", "bromhexine / cephalexin", "bromhexine / chlophedianol", "bromhexine / chlorpheniramine / erythromycin", "bromhexine / dextromethorphan", "bromhexine / erythromycin", "bromhexine / fenoterol", "bromhexine / fominoben", "Bromhexine / guaiFENesin", "bromhexine / metaproterenol", "bromhexine / oxeladin", "bromhexine / oxytetracycline", "bromhexine / penicillin v", "Bromhexine / sulfADIAZINE / tetroxoprim", "bromhexine hydrochloride", "bromide ion", "bromine", "bromo seltzer", "bromo seltzer antacid pain reliever", "bromocriptine", "bromodiphenhydramine", "bromodiphenhydramine / codeine", "bromodiphenhydramine hydrochloride", "bromopride", "bromotheophylline", "bromperidol", "bromperidol decanoate", "brompheniramine", "brompheniramine / carbetapentane / phenylephrine", "brompheniramine / chlophedianol / phenylephrine", "brompheniramine / chlophedianol / pseudoephedrine", "brompheniramine / codeine", "Brompheniramine / Codeine / guaiFENesin", "brompheniramine / codeine / phenylephrine", "brompheniramine / codeine / phenylpropanolamine", "brompheniramine / codeine / pseudoephedrine", "brompheniramine / dextromethorphan", "Brompheniramine / Dextromethorphan / guaiFENesin", "Brompheniramine / Dextromethorphan / guaiFENesin / Phenylephrine", "Brompheniramine / Dextromethorphan / guaiFENesin / Phenylpropanolamine", "Brompheniramine / Dextromethorphan / guaiFENesin / Pseudoephedrine", "brompheniramine / dextromethorphan / phenylephrine", "brompheniramine / dextromethorphan / phenylpropanolamine", "brompheniramine / dextromethorphan / pseudoephedrine", "brompheniramine / dihydrocodeine / phenylephrine", "brompheniramine / dihydrocodeine / pseudoephedrine", "Brompheniramine / diphenhydrAMINE", "Brompheniramine / diphenhydrAMINE / Phenylephrine", "Brompheniramine / guaiFENesin / HYDROcodone", "Brompheniramine / guaiFENesin / Phenylephrine", "Brompheniramine / guaiFENesin / Phenylpropanolamine", "Brompheniramine / guaiFENesin / Pseudoephedrine", "Brompheniramine / HYDROcodone / Phenylephrine", "Brompheniramine / HYDROcodone / Pseudoephedrine", "brompheniramine / phenylephrine", "brompheniramine / phenylephrine / phenylpropanolamine", "brompheniramine / phenylephrine / phenyltoloxamine", "brompheniramine / phenylpropanolamine", "brompheniramine / pseudoephedrine", "brompheniramine maleate", "brompheniramine tannate", "bromplex hd", "bromus ramosus flower extract", "broncho saline", "broncolin", "broncolin cough", "broncomar dm", "broncomar expectorant", "broncotron", "bronkaid", "bronopol", "brontex", "broomweed pollen extract", "brosimum acutifolium bark extract", "brotizolam", "broussonetia kazinoki root extract", "broussonetia kazinoki whole extract", "broussonetia papyrifera whole extract", "brovana", "brovanexine", "brovanexine hcl", "brovex cb", "brovex d", "brovex pb", "brovex pbc", "brovex pd", "brovex peb", "brovex psb", "brovex pse", "brown iron oxide", "brown mixture", "brown rice preparation", "brucea javanica whole extract", "brucella abortus", "brucella melitensis", "brucine sulfate", "brucine sulfate heptahydrate", "brugia malayi preparation", "brussels sprout allergenic extract", "bryonia alba root extract", "bryonia alba whole extract", "bryonia dioica root extract", "bryonia preparation", "bryonia preparation / hydrastis preparation / yellow phenolphthalein", "bss ophthalmic solution", "btb hoof", "btb plus", "bucalcide", "bucalsep", "buchu", "buckley's bedtime formula", "buckley's cough suppressant", "buckley's dm cough suppressant", "buckley's dm decongestant", "buckleys mixture", "buckminsterfullerene", "buckthorn preparation", "buckwheat allergenic extract", "buclizine", "buclizine / hydrOXYzine / Niacin", "buclizine / vitamin b6", "buclizine hydrochloride", "buddleja davidii leaf extract", "buddleja davidii whole extract", "budeprion", "budesonide", "budesonide (11.beta.,16.alpha.(s))", "budesonide / formoterol", "budipine", "budipine hydrochloride", "bufexamac", "bufferin", "buflomedil", "buflomedil / diosmin", "buflomedil hydrochloride", "bufo bufo cutaneous gland preparation", "bulbous buttercup pollen extract", "bulnesia sarmientoi wood oil", "bum ease", "bumadizone", "bumetanide", "bumetanide / potassium", "bumetanide / potassium chloride", "bumex", "buminate", "bunavail", "bunazosin", "bunazosin hydrochloride", "bupap", "buphenyl", "bupivacaine", "Bupivacaine / EPINEPHrine", "Bupivacaine / EPINEPHrine / fentaNYL", "Bupivacaine / fentaNYL", "Bupivacaine / HYDROmorphone", "bupivacaine / lidocaine", "bupivacaine / meperidine", "Bupivacaine / SUFentanil", "bupivacaine hydrochloride", "bupivacaine hydrochloride anhydrous", "bupivacaine liposome", "bupleurum chinense root extract", "bupleurum falcatum root extract", "bupranolol", "bupranolol hcl", "buprenex", "buprenorphine", "buprenorphine / naloxone", "buprenorphine hydrochloride", "buproban", "buPROPion", "buPROPion / Naltrexone", "buPROPion hydrobromide", "buPROPion Hydrochloride", "bur oak pollen extract", "burdock root extract", "burkholderia mallei", "burn jel plus", "burn-b gone otc", "burning bush pollen extract", "burrobrush pollen extract", "burweed marshelder pollen extract", "burweed marshelder pollen extract / poverty weed pollen extract / rough marshelder pollen extract", "burweed marshelder pollen extract / rough marshelder pollen extract", "buscopan", "buserelin", "buserelin acetate", "bushmaster venom", "buspar", "busPIRone", "busPIRone hydrochloride", "busulfan", "busulfex", "butabarbital", "butabarbital / ePHEDrine / guaiFENesin / Theophylline", "butabarbital / EPINEPHrine / Theophylline", "butabarbital / homatropine", "butabarbital / hyoscyamine / phenazopyridine", "butabarbital / meprobamate", "butabarbital / methamphetamine", "butabarbital / PHENobarbital / Secobarbital", "butabarbital sodium", "butacaine", "butacaine / oleate", "butacaine sulfate", "butafosfan", "butafosfan / vitamin b 12", "butalamine", "butalamine / papaverine", "butalamine hcl", "butalbital", "butalbital / caffeine / codeine", "butamben", "butamben / nitromersol", "butamben / tyrothricin", "butamben picrate", "butamirate", "butamirate citrate", "butanamide", "butane", "butcher's broom preparation", "butea monosperma flower extract", "butedronate", "butedronate tetrasodium", "butenafine", "butenafine hydrochloride", "butetamate", "butetamate / helicin", "butetamate citrate", "buteth-3", "butethamate", "butethamate citrate", "buthiazide", "buthiazide / dihydralazine / metipranolol", "buthiazide / metipranolol", "buthiazide / reserpine", "buthiazide / spironolactone", "butibufen", "butisol", "butobarbital", "butoconazole", "butoconazole nitrate", "butorphanol", "butorphanol tartrate", "butorphic", "butoxycaine", "butrans", "butriptyline", "butriptyline hydrochloride", "button mushroom extract", "butyl acetate", "butyl acrylate - c16-c20 alkyl methacrylate - methacrylic acid - methyl methacrylate copolymer", "butyl carbamate", "butyl chloride", "butyl ester of methyl vinyl ether-maleic anhydride copolymer (125 kd)", "butyl ether", "butyl levulinate", "butyl maleurate", "butyl methacrylate/methyl methacrylate/methacrylic acid/styrene crosspolymer", "butyl stearate", "butylated hydroxyanisole", "butylated hydroxytoluene", "butylene glycol behenate", "butylene glycol dicaprate", "butylene glycol dicaprylate", "butylene glycol dicaprylate-dicaprate", "butyloctyl benzoate", "butyloctyl oleate", "butyloctyl palmitate", "butyloctyl salicylate", "butylparaben", "butylparaben sodium", "butylphenyl methylpropional", "butylphenyl methylpropional, (+)-", "butylscopolamine", "butylscopolamine bromide", "butylvinal", "butyrate", "butyric acid", "buzepide metiodide", "buzepide metiodide / clocinizine / phenylpropanolamine", "buzepide metiodide / haloperidol", "by ache", "bydureon", "byetta", "bystolic", "c complex", "c tan d", "c-500-gr", "c-tanna 12", "c-time", "c.i. acid blue 324", "c.i. food yellow 3 (free acid)", "c1 esterase inhibitor", "c1 esterase inhibitor (human)", "c1 esterase inhibitor (recombinant)", "c10-16 pareth-1", "c10-18 triglycerides", "c10-30 cholesterol-lanosterol esters", "c10-36 olefin", "c11-12 isoparaffin", "c11-13 pareth-6", "c11-15 pareth-7", "c12 olefin sulfonate", "c12-13 pareth-23", "c12-13 pareth-3", "c12-14 isoparaffin", "c12-14 olefin sulfonate", "c12-14 pareth-12", "c12-14 pareth-3", "c12-14 sec-pareth-12 sulfosuccinate", "c12-15 alcohols", "c12-15 alkyl ethylhexanoate", "c12-15 alkyl lactate", "c12-15 pareth-10", "c12-15 pareth-12", "c12-15 pareth-15 sulfonate", "c12-15 pareth-3", "c12-15 pareth-3 sulfate", "c12-15 pareth-7", "c12-15 pareth-9", "c12-16 alcohols", "c12-16 pareth-9", "c12-17 alkane", "c12-20 acid peg-8 ester", "c12-20 alkyl benzoate", "c12-20 alkyl glucoside", "c13-14 isoparaffin", "c13-15 alkane", "c13-16 isoparaffin", "c14 olefin sulfonate", "c14-16 olefin sulfonate", "c14-22 alcohols", "c18 olefin sulfonate", "c18-36 acid triglyceride", "c18-c21 alkane", "c20-22 alcohols", "c20-22 alkyl phosphate", "c20-40 acid", "c20-40 alcohols (mp 79c)", "c20-40 pareth-10", "c20-40 pareth-3", "c24-28 olefin", "c30-45 alkyl methicone", "c30-45 olefin", "c30-50 alcohols", "c9-11 pareth-3", "c9-11 pareth-6", "c9-11 pareth-8", "cabazitaxel", "cabbage allergenic extract", "cabbage preparation", "cabergoline", "cabozantinib", "cabozantinib 100 mg daily dose carton pack, 4 blister cards, 14 capsules each", "cabozantinib 140 mg daily dose carton pack, 4 blister cards, 28 capsules each", "cabozantinib 60 mg daily dose carton pack, 4 blister cards, 21 capsules each", "cabozantinib s-malate", "cadexomer iodine", "cadmium", "cadmium cation", "cadmium iodide", "cadmium sulfate", "cadmium sulfide", "caduet", "caesalpinia spinosa resin", "cafcit", "cafedrine", "cafedrine / theodrenaline", "cafergot", "caffeic acid", "caffeine", "caffeine / carzenide / propyphenazone", "caffeine / chlorphenoxamine", "caffeine / choline", "caffeine / codeine / pheniramine / phenylephrine / salicylic acid", "caffeine / dihydroergocryptine", "Caffeine / dimenhyDRINATE", "Caffeine / dimenhyDRINATE / Ergotamine", "Caffeine / dimenhyDRINATE / Scopolamine", "Caffeine / diphenhydrAMINE / Ergotamine", "caffeine / dipyrone", "caffeine / dipyrone / ergotamine", "caffeine / ergotamine", "caffeine / ergotamine / ibuprofen", "Caffeine / Ergotamine / Levorotatory alkaloids of belladonna / PENTobarbital", "caffeine / ethenzamide", "caffeine / glucose", "caffeine / guarana preparation", "caffeine / hordenine", "caffeine / magnesium salicylate", "caffeine / meclizine", "caffeine / nitroglycerin", "caffeine / phenacetin / salicylamide / styramate", "caffeine / pheniramine / phenylephrine / salicylic acid", "Caffeine / PHENobarbital", "caffeine / phenylephrine", "caffeine / phenylpropanolamine", "caffeine / phenyltoloxamine", "caffeine / procaine", "caffeine / propyphenazone", "caffeine / riboflavin / thiamine / vitamin b 12 / vitamin b6", "caffeine / salicylamide / salicylic acid", "caffeine citrate", "caffeine monohydrate", "cafgesic", "cairina moshcata heart-liver preparation", "cajanius cajan leaf extract", "cajuput oil", "cal gest", "cal-quick", "calaclear", "caladryl", "caladryl clear", "calagel", "calagesic", "calamine", "Calamine / Camphor / diphenhydrAMINE", "calamine / camphor / pramoxine", "calamine / dimethicone / zinc oxide", "Calamine / diphenhydrAMINE", "calamine / menthol / petrolatum / zinc oxide", "calamine / menthol / zinc oxide", "calamine / phenol", "calamine / phenol / zinc oxide", "calamine / pramoxine", "calamine / resorcinol", "calamine / resorcinol / sulfur,colloidal", "calamine / zinc oxide", "calamus oil", "calan", "calazime", "calazime skin protectant", "calcarb", "calcet", "calci-chew", "calci-mix", "calcid", "calcidol", "calcifediol", "calcijex", "calcionate", "calcipotriene", "calcipotriene hydrate", "calcitonin", "calcitrene", "calcitriol", "calcitriol / fluticasone / tacrolimus", "calcium", "calcium acetate", "calcium acetate / magnesium acetate / potassium acetate / potassium chloride / sodium acetate / sodium gluconate", "calcium acetate / magnesium carbonate", "calcium acetate monohydrate", "calcium alginate", "calcium aluminosilicate", "calcium aluminum borosilicate", "calcium amino acid chelate", "calcium arsenate", "calcium ascorbate", "calcium ascorbate / calcium carbonate / cholecalciferol / folic acid / pyridoxine", "calcium ascorbate / calcium threonate / ferrous asparto glycinate / ferrous fumarate / folic acid / succinic acid / vitamin b 12", "calcium ascorbate / calcium threonate / ferrous asparto glycinate / folic acid / polysaccharide iron complex / succinic acid / vitamin b 12", "calcium ascorbate / calcium threonate / ferrous asparto glycinate / liver stomach concentrate / succinic acid / vitamin b 12", "calcium ascorbate / ferrous asparto glycinate / polysaccharide iron complex / succinic acid", "calcium ascorbate / potassium", "calcium ascorbate anhydrous", "calcium aspartate", "calcium aspartate / magnesium salt / potassium aspartate", "calcium behenate", "calcium bicarbonate", "calcium borogluconate", "calcium bromide", "calcium bromide / calcium lactate", "calcium carbimide", "calcium carbonate", "calcium carbonate / calcium glubionate", "calcium carbonate / calcium gluconate / cholecalciferol", "calcium carbonate / calcium gluconate / vitamin d", "calcium carbonate / chaste tree preparation / magnesium oxide", "calcium carbonate / cholecalciferol", "calcium carbonate / cholecalciferol / ferrous fumarate", "calcium carbonate / cholecalciferol / folic acid / hydroxocobalamin", "calcium carbonate / cholecalciferol / inulin", "calcium carbonate / cholecalciferol / magnesium oxide", "calcium carbonate / cholecalciferol / magnesium oxide / zinc oxide", "calcium carbonate / cholecalciferol / soy protein isolate", "calcium carbonate / cholecalciferol / soybean preparation", "calcium carbonate / cholecalciferol / vitamin k", "calcium carbonate / cholecalciferol / vitamin k 1", "calcium carbonate / dehydroepiandrosterone", "calcium carbonate / docosahexaenoate", "calcium carbonate / ergocalciferol", "calcium carbonate / ergocalciferol / soy protein isolate", "calcium carbonate / ergocalciferol / soybean preparation", "calcium carbonate / ergocalciferol / vitamin k 1", "calcium carbonate / famotidine / magnesium hydroxide", "calcium carbonate / ferrous fumarate / vitamin d", "calcium carbonate / folic acid", "calcium carbonate / folic acid / magnesium carbonate", "calcium carbonate / folic acid / pyridoxine / vitamin b 12", "calcium carbonate / folic acid / vitamin b complex", "calcium carbonate / gelatin / magnesium oxide", "calcium carbonate / glycine", "calcium carbonate / kaolin", "calcium carbonate / magnesium carbonate", "calcium carbonate / magnesium carbonate / magnesium oxide", "calcium carbonate / magnesium carbonate / simethicone", "calcium carbonate / magnesium carbonate / vitamin d", "calcium carbonate / magnesium chloride", "calcium carbonate / magnesium hydroxide", "Calcium Carbonate / Magnesium Hydroxide / PHENobarbital", "calcium carbonate / magnesium hydroxide / simethicone", "calcium carbonate / magnesium oxide", "calcium carbonate / magnesium oxide / valerian root extract / valine", "calcium carbonate / magnesium oxide / vitamin d", "calcium carbonate / magnesium oxide / zinc gluconate", "calcium carbonate / magnesium oxide / zinc oxide", "calcium carbonate / magnesium oxide / zinc sulfate", "calcium carbonate / magnesium trisilicate", "calcium carbonate / monofluorophosphate", "Calcium Carbonate / Nux Vomica extract / PHENobarbital", "calcium carbonate / pectin", "Calcium Carbonate / PHENobarbital", "calcium carbonate / phenytoin", "calcium carbonate / potassium bicarbonate / sodium bicarbonate", "calcium carbonate / potassium chloride / sodium chloride", "calcium carbonate / potassium tartrate", "calcium carbonate / psyllium", "calcium carbonate / pyroglutamate", "calcium carbonate / risedronate", "calcium carbonate / simethicone", "calcium carbonate / sodium bicarbonate", "calcium carbonate / sodium fluoride", "calcium carbonate / soy protein isolate", "calcium carbonate / soy protein isolate / vitamin d", "calcium carbonate / vitamin a / vitamin d", "calcium carbonate / vitamin b 12", "calcium carbonate / vitamin d", "calcium carbonate / vitamin d3", "calcium carbonate / wheat dextrin", "calcium carbonate, precipitated", "calcium chlorate dihydrate", "calcium chloride", "calcium chloride / fibrinogen / fibrinolysis inhibitor / thrombin", "calcium chloride / glucose / glutathione / magnesium chloride / potassium chloride / sodium bicarbonate / sodium chloride / sodium phosphate, dibasic", "calcium chloride / glucose / lactate / magnesium chloride / potassium chloride / sodium acetate / sodium chloride", "calcium chloride / glucose / lactate / magnesium chloride / sodium chloride", "calcium chloride / glucose / lactate / potassium chloride / sodium chloride", "calcium chloride / glucose / magnesium sulfate / potassium chloride / sodium bicarbonate / sodium chloride / sodium phosphate", "calcium chloride / glucose / potassium chloride / sodium chloride", "calcium chloride / icodextrin / lactate / magnesium chloride / sodium chloride", "calcium chloride / lactate / magnesium chloride / potassium chloride / sodium acetate / sodium chloride", "calcium chloride / lactate / potassium chloride / sodium chloride", "calcium chloride / magnesium chloride / potassium acetate / sodium acetate / sodium chloride", "calcium chloride / magnesium chloride / potassium chloride / sodium acetate / sodium chloride", "calcium chloride / magnesium chloride / potassium chloride / sodium acetate / sodium chloride / sodium citrate", "calcium chloride / potassium chloride / sodium chloride", "calcium chloride anhydrous", "calcium chloride dihydrate", "calcium chloride, dihydration", "calcium chloride, dihydration / lactate / potassium chloride / sodium chloride", "calcium citrate", "calcium citrate / calcium phosphate", "calcium citrate / cholecalciferol", "calcium citrate / cholecalciferol / magnesium citrate", "calcium citrate / ergocalciferol", "calcium citrate / ergocalciferol / magnesium citrate", "calcium citrate / ergocalciferol / magnesium oxide", "calcium citrate / glutamate", "calcium citrate / magnesium oxide / vitamin e", "calcium citrate / vitamin a / vitamin d", "calcium citrate / vitamin d", "calcium citrate malate", "calcium creosotate", "calcium creosotate / iodine", "calcium cyclamate", "calcium dihydrogen phosphate", "calcium disodium versenate", "calcium dobesilate", "calcium fluoride", "calcium formate", "calcium galactogluconate bromide", "calcium glubionate", "calcium glubionate / calcium lactobionate", "calcium glucarate", "calcium gluceptate", "calcium gluceptate / calcium gluconate", "calcium gluconate", "calcium gluconate / calcium lactate", "calcium gluconate / calcium lactobionate", "calcium gluconate / calcium levulinate", "calcium gluconate / calcium saccharate", "Calcium Gluconate / Niacinamide / PHENobarbital", "calcium gluconate monohydrate", "calcium glycerophosphate", "calcium glycerophosphate / calcium lactate", "calcium glycerophosphate / calcium levulinate", "calcium glycerophosphate / monofluorophosphate", "calcium glycerophosphate / monofluorophosphate / pyridoxine", "calcium hexafluorosilicate", "calcium hydride", "calcium hydroxide", "calcium hydroxide / zinc oxide", "calcium hypophosphite", "calcium iodide", "calcium iodide / codeine", "calcium iodide / isoproterenol", "calcium iodized", "calcium iodized / peptone,dried / thyroid (usp)", "calcium ion", "calcium ipodate", "calcium lactate", "calcium lactate / ergocalciferol", "calcium lactate / glucose / magnesium citrate / potassium chloride / sodium chloride", "calcium lactate / magnesium citrate", "calcium lactate / magnesium oxide", "calcium lactate / magnesium sulfate", "calcium lactate / niacin", "calcium lactate / thiamine", "calcium lactate pentahydrate", "calcium lactobionate", "calcium levulinate", "calcium malate", "calcium orotate", "calcium oxalate", "calcium oxalate monohydrate", "calcium oxide", "calcium pangamate", "calcium pantothenate", "calcium peroxide", "calcium phosphate", "calcium phosphate / cholecalciferol", "calcium phosphate / cholecalciferol / soybean preparation", "calcium phosphate / chromium picolinate", "calcium phosphate / dehydroepiandrosterone", "calcium phosphate / ergocalciferol", "calcium phosphate / gamboge", "calcium phosphate / magnesium carbonate / potassium chloride", "calcium phosphate / melatonin", "calcium phosphate / phosphorus", "calcium phosphate / picolinic acid", "calcium phosphate / procyanidolic oligomer", "calcium phosphate / sodium fluoride", "calcium phosphate / vitamin b 12", "calcium phosphate / vitamin d", "calcium phosphate dibasic", "calcium phosphate, dibasic, dihyate", "calcium phosphate, dibasic, dihydrate", "calcium phosphate, dihydrate", "calcium phosphate, monobasic, anhydrous", "calcium picrate", "calcium pidolate", "calcium polycarbophil", "calcium polycarbophil / sennosides, usp", "calcium polystyrene sulfonate product", "calcium polystyrene sulfonate product / methylcellulose", "calcium propionate", "calcium pyrophosphate", "calcium pyruvate", "calcium pyruvate / dihydroxyacetone", "calcium saccharate", "calcium silicate", "calcium stearate", "calcium stearate / cholecalciferol", "calcium sulfaloxate", "calcium sulfate", "calcium sulfate, anhydrous", "calcium sulfate, dihydrate", "calcium sulfate, hemihydrate", "calcium sulfide", "calcium threonate", "calcium undecylenate", "calcium undecylenate / zinc undecylenate", "calcium valproate", "calcium versetamide sodium", "calcium-sodium maleate methyl vinyl ether copolymer (1000000 mw, 1900 mpa.s at 11%)", "caldecort", "caldesene", "caldesene powder", "caldesene w/ talc", "caldiamide", "caldiamide sodium", "caldolor", "calendula officinalis extract", "calendula officinalis flower extract", "calendula officinalis flowering top extract", "calendula officinalis seed oil", "calendula officinalis whole extract", "calenduloside e", "calfactant", "calgon vesta", "calgonate", "california black oak pollen extract", "california black walnut pollen extract", "california juniper pollen extract", "california mugwort pollen extract", "california scrub oak pollen extract", "california sheephead preparation", "callergy clear", "calluna vulgaris flowering top extract", "calmafx", "calmicid", "calmodrox", "calmol", "calmoseptine ointment", "calomel", "calophyllum tacamahaca seed oil", "calophyllum tacamahaca whole extract", "calphron", "calteridol", "calteridol calcium", "caltha palustris extract", "caltrate", "caltrate gummy bites", "caltrate plus d", "calvatia gigantea extract", "calvite p&d", "cambendazole", "cambia", "camelina sativa seed oil", "camellia japonica flower extract", "camellia japonica leaf extract", "camellia japonica seed extract", "camellia japonica seed oil", "camellia kissii seed oil", "camellia oil", "camellia oleifera leaf extract", "camellia oleifera seed extract", "camellia oleifera whole extract", "camellia sinensis flower extract", "camellia sinensis root extract", "camellia sinensis seed oil", "camellia sinensis var. assamica whole extract", "camellia sinensis whole extract", "camila 28 day pack", "campath", "campesterol", "campho-phenique", "camphor", "camphor (natural)", "camphor / capsaicin", "camphor / capsaicin / eucalyptus oil / menthol / methyl salicylate", "camphor / capsaicin / menthol", "camphor / capsaicin / menthol / methyl salicylate", "camphor / capsaicin / menthol / methyl salicylate / peppermint oil / zinc oxide", "camphor / capsaicin / methyl salicylate", "camphor / capsicum extract / menthol", "camphor / capsicum extract / methyl salicylate", "camphor / chloroxylenol", "camphor / dimethicone / menthol / phenol", "camphor / eucalyptol / menthol", "camphor / eucalyptus extract / menthol", "camphor / eucalyptus oil / menthol", "camphor / eucalyptus oil / menthol / methyl salicylate", "camphor / eucalyptus oil / menthol / turpentine", "camphor / eucalyptus oil / methyl salicylate", "camphor / glycol salicylate / menthol", "camphor / histamine / menthol", "camphor / levomenthol", "camphor / levomenthol / methyl salicylate", "camphor / lidocaine", "camphor / menthol", "camphor / menthol / methyl salicylate", "camphor / menthol / methyl salicylate / thymol", "camphor / menthol / methyl salicylate / turpentine", "camphor / menthol / niacin", "camphor / menthol / petrolatum", "camphor / menthol / petrolatum / phenol", "camphor / menthol / phenol", "camphor / menthol / phenol / salicylic acid", "camphor / menthol / tetracaine", "camphor / menthol / turpentine", "camphor / methyl salicylate", "camphor / methylnicotinate", "camphor / parachlorophenol", "camphor / petrolatum", "camphor / phenol", "camphor / phenol / tannic acid / zinc oxide", "camphor / turpentine", "camphor ice", "camphor leaf oil", "camphor oil", "camphor, (-)-", "camphoric acid 1-methyl ester", "campral", "camptosar", "campylobacter jejuni", "camrese 13 week extended-day tablet dispenser", "camreselo 91 day pack", "camylofin bis(noramid-mes)", "camylofin hcl", "camylofine", "camylofine / dipyrone", "canada balsam extract", "canada goldenrod pollen extract", "canadian bluegrass pollen extract", "canagliflozin", "canagliflozin / metFORMIN", "canagliflozin anhydrous", "canakinumab", "cananga odorata flower extract", "cananga odorata flower wax", "cananga oil", "canarium luzonicum whole extract", "canary feather extract", "canary grass pollen extract", "canasa", "cancidas", "candelilla wax", "candelilla wax powder", "candesartan", "candesartan / hydrochlorothiazide", "candesartan cilexetil", "candida albicans", "candida albicans extract", "candida parapsilosis", "candida torresii", "candida tropicalis allergenic extract", "cangrelor", "cangrelor tetrasodium", "canineaid", "canis lupus familiaris extract", "canis lupus familiaris hair extract", "canis lupus familiaris milk preparation", "cank-oxide", "canker complete", "canna indica root extract", "cannabinol", "cannabinol / tetrahydrocannabinol", "cannabis sativa seed extract", "cannabis sativa seed oil", "cannabis sativa subsp. flowering top extract", "cannavis sativa susp. indica top extract", "canola oil", "canrenoate", "canrenoate potassium", "canrenoic acid", "canrenone", "cantaloupe allergenic extract", "cantharidin", "cantharidin / podophyllin / salicylic acid", "cantharis vesicatoria preparation", "canthaxanthin", "cantil", "canyon ragweed pollen extract", "caolotropis gigantea root extract", "capacet", "capastat", "capecitabine", "caper berry extract", "capex", "capital and codeine", "capoten", "capozide", "capramidopropyl betaine", "caprelsa", "capreomycin", "capreomycin sulfate", "capric diethanolamide", "caproamphodipropionate", "capromab pendetide", "caprooyl tetrapeptide-3", "caproyl lactate", "capryl methicone", "capryl-capramidopropyl betaine", "caprylhydroxamic acid", "caprylic(capric mono)diglcyerides", "caprylic-capric diglycerol succinate", "caprylic-capric-lauric triglyceride", "caprylic-capric-linoleic triglyceride", "caprylic-capric-succinic triglyercide", "caprylic/capric/palmitic/stearic triglyceride", "capryloamphopropionate", "capryloyl glycine", "capryloyl salicylic acid", "caprylyl caprylate", "caprylyl caprylate-caprate", "caprylyl glucoside", "caprylyl trimethicone", "caprylyl trisiloxane", "caprylyl-capryl oligoglucoside", "capsaicin", "capsaicin / chondroitin sulfates / glucosamine / lidocaine", "capsaicin / histamine", "capsaicin / histamine / menthol", "capsaicin / lidocaine", "capsaicin / lidocaine / menthol", "capsaicin / lidocaine / menthol / methyl salicylate", "capsaicin / menthol", "capsaicin / menthol / methyl salicylate", "capsaicin / menthol / methylnicotinate", "capsaicin / methyl salicylate", "capsaicin / methylnicotinate", "capsaicin / trolamine salicylate", "capsaicin / turpentine", "capsella bursa-pastoris extract", "capsicum annuum whole extract", "capsicum extract", "capsicum extract / cascara sagrada / ginger extract / nux vomica extract", "capsicum extract / garlic preparation", "capsicum extract / lidocaine", "capsicum oleoresin", "capsicum oleoresin / methylnicotinate", "capsicum oleoresin / turpentine", "capsin", "capsosiphon fulvescens extract", "capstar", "captan", "captodiamine", "captodiamine hydrochloride", "captopril", "captopril / hydrochlorothiazide", "capzasin quick relief", "capzasin-hp", "capzasin-p", "carac", "caraderma", "carafate", "caramiphen", "caramiphen / chlorpheniramine / isopropamide / phenylpropanolamine", "caramiphen / phenylpropanolamine", "caramiphen edisylate", "carapa guianensis seed oil", "caraway oil", "caraway seed allergenic extract", "carazolol", "carb-o-lac", "carba xp", "carbachol", "carbadox", "carbaglu", "carBAMazepine", "carbamide peroxide", "carbamide peroxide / edetic acid", "carbamoylcholine", "carbarson", "carbaryl", "carbastat", "carbatrol", "carbatuss syrup", "carbatuss-cl", "carbazochrome", "carbazochrome sodium sulfonate", "carbenicillin", "carbenicillin disodium", "carbenicillin indanyl sodium", "carbenicillin phenyl sodium", "carbenoxolone", "carbenoxolone sodium", "carbetapentane", "carbetapentane / carbinoxamine / phenylephrine", "carbetapentane / chlorpheniramine", "carbetapentane / Chlorpheniramine / ePHEDrine / Phenylephrine", "carbetapentane / chlorpheniramine / phenylephrine", "carbetapentane / dexchlorpheniramine / phenylephrine", "carbetapentane / diphenhydrAMINE", "carbetapentane / diphenhydrAMINE / Phenylephrine", "carbetapentane / guaiacolsulfonate / phenylephrine", "carbetapentane / guaiacolsulfonate / phenylephrine / phenylpropanolamine", "carbetapentane / guaiacolsulfonic acid / phenylephrine / phenylpropanolamine", "carbetapentane / guaiFENesin", "carbetapentane / guaiFENesin / Phenylephrine", "carbetapentane / guaiFENesin / Pseudoephedrine", "carbetapentane / phenylephrine", "carbetapentane / phenylephrine / pyrilamine", "carbetapentane / pseudoephedrine", "carbetapentane / pseudoephedrine / pyrilamine", "carbetapentane / pyrilamine", "carbetapentane citrate", "carbetapentane citrate / carbetapentane tannate / phenylephrine hydrochloride / phenylephrine tannate", "carbetapentane tannate", "carbidopa", "carbidopa / entacapone / levodopa", "carbidopa / levodopa", "carbidopa anhydrous", "carbimazole", "carbinoxamine", "carbinoxamine / dextromethorphan / phenylephrine", "carbinoxamine / dextromethorphan / pseudoephedrine", "carbinoxamine / guaiFENesin / Pseudoephedrine", "carbinoxamine / HYDROcodone / Phenylephrine", "carbinoxamine / HYDROcodone / Pseudoephedrine", "carbinoxamine / methscopolamine / pseudoephedrine", "carbinoxamine / oxeladin", "carbinoxamine / phenylephrine", "carbinoxamine / phenylpropanolamine / pyrilamine", "carbinoxamine / pseudoephedrine", "carbinoxamine / pseudoephedrine / scopolamine", "carbinoxamine maleate", "carbinoxamine maleate / carbinoxamine tannate", "carbinoxamine tannate", "carbo animalis preparation", "carbocaine", "carbocaine with neocobefrin", "carbocysteine", "carbocysteine / dextromethorphan", "carbocysteine / oxolamine", "carbocysteine / promethazine", "carbocysteine / sobrerol", "carbocysteine-lysine", "carbomer", "carbomer / mannitol", "carbomer 1342", "carbomer copolymer type a", "carbomer homopolymer type b", "carbomer homopolymer type c", "carbomer interpolymer type a (allyl sucrose crosslinked)", "carbomer interpolymer type b (allyl pentaerythritol crosslinked)", "carbomer-934", "carbomer-940", "carbomer-974p", "carbomer-980", "carbon black", "carbon dioxide", "carbon dioxide / carbon monoxide / nitrogen / oxygen", "carbon dioxide / helium", "carbon dioxide / helium / hydrogen / nitrogen / oxygen", "carbon dioxide / helium / nitrogen / oxygen", "carbon dioxide / hydrogen / nitrogen", "carbon dioxide / nitrogen", "carbon dioxide / nitrogen / oxygen", "carbon dioxide / nitrous oxide", "carbon dioxide / oxygen", "carbon disulfide", "carbon monoxide", "carbon monoxide / helium / nitrogen / oxygen", "carbon monoxide / neon / nitrogen / oxygen", "carbonate ion", "CARBOplatin", "carbopol 981", "carboprost", "carboprost tromethamine", "carboxine", "carboxyethyl siliconate", "carboxymethylcellulose", "carboxymethylcellulose / casanthranol", "carboxymethylcellulose / casanthranol / docusate", "carboxymethylcellulose / danthron / poloxamer", "carboxymethylcellulose / docusate", "carboxymethylcellulose / docusate / phenolphthalein", "carboxymethylcellulose / glycerin", "carboxymethylcellulose / glycerin / polysorbate 80", "carboxymethylcellulose / hypromellose", "carboxymethylcellulose / povidone", "carboxymethylcellulose calcium", "carboxymethylcellulose sodium", "carboxymethylcellulose sodium (0.7 carboxymethyl substitution per saccharide; 100-200 mpa.s at 1%)", "carboxymethylcellulose sodium (0.7 carboxymethyl substitution per saccharide; 400 mpa.s at 1%)", "carboxymethylcellulose sodium (0.7 carboxymethyl substitution per saccharide; 50-100 mpa.s at 1% )", "carboxypolymethylene", "carbromal", "carbutamide", "cardamom extract", "cardec", "cardec drops reformulated jun 2007", "cardene", "cardiospermum halicacabum flowering top extract", "cardiospermum halicacbum whole extract", "cardizem", "cardura", "carduus marianus preparation", "care-creme", "careless weed pollen extract", "careless weed pollen extract / redroot pigweed pollen extract", "carex humilis root extract", "carfilzomib", "carglumic acid", "carica papaya leaf extract", "carica papaya preparation", "carica papaya whole extract", "caricia care", "carimune", "cariprazine", "cariprazine hydrochloride", "carisoprodol", "carisoprodol / dexamethasone / ibuprofen", "carisoprodol / dexamethasone / tenoxicam", "carisoprodol / diclofenac", "carisoprodol / ibuprofen", "carisoprodol / naproxen", "carisoprodol / piroxicam", "carlesta", "carlson d", "carmex cold sore treatment", "carmex original balm", "carminate", "carminic acid", "carmoisine", "carmol", "carmol 10", "carmol hc", "carmol scalp", "carmol scalp treatment kit", "carmol-20", "carmustine", "carnauba wax", "carni q-gel forte", "carnitine", "carnitine / racemethionine / thiamine", "carnitine chloride", "carnitine hydrochloride, (+)-", "carnitor", "carnosine", "carnosine hydrochloride", "carnuba wax", "carob allergenic extract", "carpaquin", "carpinus betulus flower extract", "carpinus betulus flowering top extract", "carpipramine", "carpipramine dihydrochloride", "carprieve", "carprofen", "carrageenan", "carrageenan sodium", "carrot allergenic extract", "carrot extract", "carrot juice", "carrot seed oil", "carteolol", "carteolol hydrochloride", "carters little pills", "carthamus tinctorius (safflower) oleosomes extract", "carthamus tinctorius flower bud extract", "carthamus tinctorius flower oil", "carthamus tinctorius seedcake extract", "cartia", "carticel", "cartilade", "carvedilol", "carvedilol phosphate", "carvone", "carvone, (+-)-", "carya laciniosa pollen extract", "caryocar brasiliense fruit oil", "caryophyllene", "carzenide", "casanthranol", "casanthranol / docusate", "cascara sagrada", "cascara sagrada / dehydrocholate", "cascara sagrada / magnesium hydroxide", "cascara sagrada / phenolphthalein", "cascara sagrada / sennosides, usp", "casein (cow milk) allergenic extract", "casein allergenic extract", "casein, emmental cultured", "casein, lactococcus lactis cultured", "casein, lactococcus lactis cultured, aged", "casein, lactococcus lactis cultured, penicillium camemberti cultured, aged", "casein, lactococcus lactis cultured, penicillium roqueforti cultured, aged", "casein, streptococcus thermophilus cultured, propionibacterium freudenreichii subsp. shermanii cultured, aged preparation", "caseinate", "caseins", "cashew nut allergenic extract", "cashew oil", "casodex", "caspofungin", "caspofungin acetate", "cassia fistula fruit extract", "castanea sativa flower extract", "castanea sative leaf extract", "castellani paint", "castiva cooling", "castiva warming", "castor canadensis scent gland secretion preparation", "castor fiber scent gland secretion", "castor oil", "castor oil / peruvian balsam", "castor oil / peruvian balsam / trypsin", "castor oil fish whole", "castorbean seed extract", "castoryl maleate", "cat dander extract", "cat flea allergenic extract", "cat hair extract", "cat hair extract / dog hair extract", "cat skin extract", "cat's claw preparation", "cataflam", "catalase", "catalase (micrococcus luteus)", "catalase / cysteine / lysine / methionine / superoxide dismutase", "catalase / orgotein", "catalase / superoxide dismutase", "catalina preparation", "catapres", "catapres-tts-1", "catapres-tts-2", "catapres-tts-3", "catechin", "cathflo activase", "cathine", "cathine hydrochloride", "cathine polistirex", "catosal", "caulerpa lentillifera extract", "cauliflower allergenic extract", "caulophyllum robustum root extract", "caulophyllum thalictroides root extract", "cauloside d", "causticum preparation", "caverject", "caviar preparation", "cavilon durable barrier cream", "cavilon emollient", "cavilon one-step", "cavirinse", "cayenne extract", "cayenne pepper allergenic extract", "cayston", "caziant 28 day pack", "ceanothus americanus leaf extract", "ceanothus americanus whole extract", "cebatrol", "ceclor", "ceclor pulvules", "cedar elm pollen extract", "cedar leaf oil", "cedax", "cedrelopsis grevei bark extract", "cedrol", "cedrus atlantica bark extract", "cedrus atlantica bark oil", "cedrus deodara wood extract", "cedrus deodara wood oil", "ceenu", "cefa", "cefaclor", "cefaclor anhydrous", "cefadroxil", "cefadroxil anhydrous", "cefadroxil hemihydrate", "cefadroxil hydrate", "cefadroxil monohydrate", "cefamandole", "cefamandole nafate", "cefatrizine", "ceFAZolin", "ceFAZolin Sodium", "cefdinir", "cefdinir monohydrate", "cefditoren", "cefditoren pivoxil", "cefepime", "cefepime hydrochloride", "cefetamet", "cefixime", "cefixime anhydrous", "cefizox", "cefmetazole", "cefmetazole sodium", "cefodizime", "cefonicid", "cefonicid monosodium", "cefoperazone", "cefoperazone sodium", "ceforanide", "cefotan", "cefotaxime", "cefotaxime sodium", "cefoTEtan", "cefoTEtan Disodium", "cefotiam", "cefotiam hydrochloride", "cefovecin", "cefovecin sodium", "cefOXitin", "cefOXitin Sodium", "cefpirome", "cefpirome sulfate", "cefpodoxime", "cefpodoxime proxetil", "cefprozil", "cefprozil anhydrous", "cefsulodin", "cefsulodin sodium", "ceftaroline", "ceftaroline fosamil", "cefTAZidime", "cefTAZidime anhydrous", "cefTAZidime Pentahydrate", "cefTAZidime SODIUM", "ceftibuten", "ceftibuten dihydrate", "ceftiflex", "ceftin", "ceftiofur", "ceftiofur hydrochloride", "ceftiofur sodium", "ceftizoxime", "ceftizoxime sodium", "ceftolozane", "ceftolozane / tazobactam", "ceftolozane sulfate", "cefTRIAXone", "cefTRIAXone Sodium", "cefuroxime", "cefuroxime axetil", "cefuroxime sodium", "cefzil", "celadrin cream", "celazome o-plex", "CeleBREX", "celecoxib", "celery allergenic extract", "celery seed extract", "celestone", "celestone soluspan", "CeleXA", "celiprolol", "celiprolol hydrochloride", "cellcept", "cellugel", "cellulase", "cellulase / diazepam / fenipentol / pancreatin", "cellulose", "cellulose / methylcellulose", "cellulose acetate phthalate", "cellulose sodium phosphate", "celontin", "celosia argentea seed extract", "celosia cristata flower extract", "cem-urea", "cemill 1000", "cemill 500", "cenestin", "cenolate", "centany", "centaurea benedicta extract", "centaurea benedicta flowering top extract", "centaurea cyanus flower extract", "centaurium erythraea flower extract", "centaurium erythraea flowering top extract", "centaurium erythraea preparation", "centella asiatica extract", "centella asiatica leaf extract", "centella asiatica leaf homeopathic preparation", "centergy", "centipeda minima whole extract", "centrine", "centruroides (scorpion) immune f(ab')2 (equine)", "centussin", "ceo-two", "cepacol", "cepacol antibacterial mouthwash", "cepacol dual relief", "cepacol sensations cooling", "cepacol sore throat from post nasal drip", "cepacol sore throat pain relief", "cepacol sore throat plus coating", "cepacol sore throat plus cough", "cepacol sore throat spray", "cepacol spray", "cepastat", "cephadyn", "cephaelis ipecacuanha preparation", "cephalanthus occidentalis bark extract", "cephalexin", "cephalexin anhydrous", "cephalexin hydrochloride", "cephalexin monohydrate", "cephaloridine", "cephalothin", "cephapirin", "cephapirin benzathine", "cephapirin sodium", "cephradine", "ceprotin", "ceramide 1", "ceramide 2", "ceramide 3", "ceramide 6 ii", "ceramide eop", "ceramide eos", "ceramide ns dilaurate", "ceramides", "ceramides / triamcinolone", "ceratonia siliqua whole extract", "ceratostigma willmottianum flower extract", "cerave baby diaper rash", "ceraxon", "cerdelga", "cerebral phospholipids", "cerebral phospholipids / docosahexaenoate", "cerebyx", "cerenia", "ceresin", "cerezyme", "ceric oxide", "cerisa wash", "ceritinib", "cerium", "cerium oxalate", "cerivastatin sodium", "cerous cation", "cerous oxalate nonahydrate", "cerovel", "certeareth-100", "certolizumab pegol", "certoparin", "certoparin sodium", "certuss", "cerubidine", "ceruletide diethylamine", "cerumenex", "cervarix", "cervidil", "cervus elaphus horn oil", "cervus elaphus velvet preparation", "cervus elaphus whole preparation", "cervus nippon velvet preparation", "cesamet", "cesia 28 day pack", "cesium", "cesium cation", "cesium chloride", "cestex", "cestrum latifolium leaf extract", "cetacaine", "cetafen", "cetalkonium chloride", "cetamide", "ceteareth 20", "ceteareth 8", "ceteareth-10", "ceteareth-10 phosphate", "ceteareth-12", "ceteareth-15", "ceteareth-2", "ceteareth-2 phosphate", "ceteareth-22", "ceteareth-25", "ceteareth-30", "ceteareth-33", "ceteareth-6", "cetearyl alcohol", "cetearyl behenate", "cetearyl ethylhexanoate", "cetearyl glucoside", "cetearyl isononanoate", "cetearyl nonanoate", "cetearyl olivate", "cetearyl palmitate", "ceteth-10", "ceteth-10 phosphate", "ceteth-16", "ceteth-2", "ceteth-20", "ceteth-20 phosphate", "ceteth-23", "ceteth-24", "ceteth-25", "ceteth-7", "cetiedil", "cetiedil citrate", "cetiri-d", "cetirizine", "cetirizine / pseudoephedrine", "cetirizine hydrochloride", "cetostearyl alcohol", "cetostearyl sulfate", "cetraria islandica subsp. islandica extract", "cetraxal", "cetrimide", "cetrimide / chlorhexidine", "cetrimide / dimethicone", "Cetrimide / diphenhydrAMINE / moroxydine", "cetrimide / lidocaine", "cetrimide / lidocaine / menthol", "cetrimides", "cetrimides / chlorhexidine", "cetrimonium", "cetrimonium / chlorhexidine", "cetrimonium / lidocaine / tyrothricin", "cetrimonium bromide", "cetrimonium chloride", "cetrorelix", "cetrorelix acetate", "cetrotide", "cetuximab", "cetyl acetate", "cetyl alcohol", "cetyl alcohol / colfosceril", "cetyl behenate", "cetyl betaine", "cetyl dimethicone", "cetyl dimethicone 150", "cetyl dimethicone 25", "cetyl dimethicone 45", "cetyl esters wax", "cetyl ethylhexanoate", "cetyl glucoside", "cetyl glycol", "cetyl hydroxyethylcellulose (350000 mw)", "cetyl hydroxyethylcellulose (550000 mw)", "cetyl lactate", "cetyl myristate", "cetyl myristoleate", "cetyl octanoate", "cetyl oleate", "cetyl palmitate", "cetyl palmitoleate", "cetyl peg- ppg-10- 1 dimethicone (hlb 3)", "cetyl peg-ppg-10-1 dimethicone (hlb 1.5)", "cetyl peg-ppg-10-1 dimethicone (hlb 5)", "cetyl phosphate", "cetyl ricinoleate", "cetyl stearate", "cetyl sulfate", "cetyldimethylethylammonium bromide", "cetylhydroxyproline palmitamide", "cetylpyridinium", "cetylpyridinium / chloroxylenol / triacetin", "Cetylpyridinium / diphenhydrAMINE", "cetylpyridinium / domiphen", "cetylpyridinium / dyclonine", "cetylpyridinium / lidocaine", "cetylpyridinium / menthol", "cetylpyridinium / pholcodine", "cetylpyridinium / sodium fluoride", "cetylpyridinium / tyrothricin", "cetylpyridinium / zinc chloride", "cetylpyridinium acetate", "cetylpyridinium chloride", "cetylpyridinium chloride anhydrous", "cevimeline", "cevimeline hydrochloride", "chaenomeles speciosa fruit", "chaetomium globosum extract", "chamaecyparis obtusa leaf extract", "chamaecyparis obtusa whole extract", "chamaecyparis obtusa wood oil", "chamaelirium luteum root extract", "chamaemelum nobile extract", "chamaemelum nobile flower extract", "chamois glide", "chamomile extract", "chamomile flower oil", "chamomile flowers", "chantix", "chantix 1 mg tabet continuing months of therapy pack", "chantix starting month pak", "chapice", "chapice with phenol", "char-flo", "charcoal", "charcoal / simethicone", "charcoal plus ds", "charcocaps", "chaste berry extract", "chaste tree preparation", "chateal 28 day pack", "chaya leaf extract", "cheat grass pollen extract", "chelidonium majus extract", "chelidonium majus flowering top extract", "chelidonium majus root extract", "chelone glabra extract", "chem-star alltra-dine", "chem-star io-soft 500", "chem-star recover", "chemet", "chenodal", "chenodeoxycholate", "chenodeoxycholate / ursodeoxycholate", "chenodeoxycholic acid", "chenopodium album flower extract", "chenopodium album whole extract", "chenopodium ambrosioides extract", "chenopodium quinoa flowering top extract", "chenopodium quinoa seed extract", "chenopodium vulvaria extract", "cheracol d", "cheracol sore throat", "cheracol with codeine", "cheratussin", "cheratussin dac", "cherry allergenic extract", "cherry birch pollen extract", "cherry juice", "cherry plum extract", "chesnut oak pollen extract", "chew q", "chg teat dip", "chia seed oil", "chicken allergenic extract", "chicken feather extract", "chicken liver preparation", "chickory root extract", "chickpea allergenic extract", "chigarid", "children's nyquil cold and cough", "chilean hazelnut oil", "chimaphila maculata extract", "chimaphila umbellata extract", "china-gel", "chinese chestnut extract", "chinese cinnamon extract", "chinese cinnamon leaf oil", "chinese cinnamon oil", "chinese elm pollen extract", "chinese rhubarb root exract", "chinese yam extract", "chiococca alba root extract", "chionanthus virginicus bark extract", "chirhostim", "chitosan", "chitosan / chromium picolinate", "chitosan low molecular weight (20-200 mpa.s)", "chitosan medium molecular weight (200-400 mpa.s)", "chitosan medium molecular weight (200-800 mpa.s)", "chitosan oligosaccharide", "chlamydia trachomatis", "chlo-amine", "chlophedianol", "chlophedianol / chlorcyclizine", "chlophedianol / chlorcyclizine / phenylephrine", "chlophedianol / chlorcyclizine / pseudoephedrine", "chlophedianol / chlorpheniramine / phenylephrine", "chlophedianol / chlorpheniramine / pseudoephedrine", "chlophedianol / dexbrompheniramine", "chlophedianol / dexbrompheniramine / phenylephrine", "chlophedianol / dexbrompheniramine / pseudoephedrine", "chlophedianol / dexchlorpheniramine / pseudoephedrine", "chlophedianol / guaiacol ethylglycolate / oxatomide", "chlophedianol / guaiFENesin", "chlophedianol / guaiFENesin / Phenylephrine", "chlophedianol / guaiFENesin / Pseudoephedrine", "chlophedianol / phenylephrine / pyrilamine", "chlophedianol / phenylephrine / thonzylamine", "chlophedianol / phenylephrine / triprolidine", "chlophedianol / pseudoephedrine", "chlophedianol / pseudoephedrine / triprolidine", "chlophedianol / pyrilamine", "chlophedianol / thonzylamine", "chlophedianol / triprolidine", "chlophedianol hydrochloride", "chlor trimeton allergy decongestant", "chlor-phen", "chlor-trimeton", "chloral betaine", "chloral hydrate", "chlorambucil", "chloramine-t", "chloramine-t anhydrous", "chloramine-t trihydrate", "chloramphenicol", "chloramphenicol / collagenase", "chloramphenicol / deoxyribonucleases / plasmin", "chloramphenicol / dexamethasone", "chloramphenicol / hydrocortisone", "chloramphenicol / hydrocortisone / polymyxin b", "chloramphenicol / ictasol", "chloramphenicol / idoxuridine", "chloramphenicol / naphazoline", "chloramphenicol / naphazoline / neomycin", "chloramphenicol / neomycin", "chloramphenicol / oxyphenbutazone", "Chloramphenicol / prednisoLONE", "Chloramphenicol / predniSONE", "chloramphenicol / resorcinol / salicylic acid", "chloramphenicol palmitate", "chloramphenicol sodium succinate", "chloramphenicol stearate", "chloramphenicol succinate", "chloraprep one-step", "chloraseptic", "chloraseptic max spray", "chloraseptic sore throat", "chloraseptic sore throat + cough", "chloraseptic spray", "chlorate ion", "chlorcyclizine", "chlorcyclizine / codeine", "chlorcyclizine / codeine / phenylephrine", "chlorcyclizine / codeine / pseudoephedrine", "chlorcyclizine / hydrocortisone", "chlorcyclizine / phenylephrine", "chlorcyclizine / pseudoephedrine", "chlorcyclizine hydrochloride", "chlordiazePOXIDE", "chlordiazePOXIDE / clidinium", "chlordiazePOXIDE / Desipramine", "chlordiazePOXIDE / Estrogens, Esterified (USP)", "chlordiazePOXIDE / Methscopolamine", "chlordiazePOXIDE / pentaerythritol", "chlordiazePOXIDE Hydrochloride", "chlorella pyrenoidosa extract", "chlorella vulgaris extract", "chlorfenethazine", "chlorhexidine", "chlorhexidine / chlorobutanol", "chlorhexidine / coal tar", "chlorhexidine / dexpanthenol", "chlorhexidine / didecyldimethylammonium chloride", "chlorhexidine / ethanol", "chlorhexidine / felypressin", "chlorhexidine / glycerin", "chlorhexidine / hydrocortisone", "chlorhexidine / hydrocortisone / ketoconazole", "chlorhexidine / isopropyl alcohol", "chlorhexidine / ketoconazole", "chlorhexidine / ketoconazole / salicyloyl phytosphingosine", "chlorhexidine / lidocaine", "chlorhexidine / lidocaine / pramoxine", "chlorhexidine / miconazole", "chlorhexidine / muramidase / tetracaine", "chlorhexidine / neomycin", "chlorhexidine / phenol", "chlorhexidine / phenylephrine", "Chlorhexidine / silver sulfADIAZINE", "chlorhexidine / simethicone", "chlorhexidine / sodium fluoride", "chlorhexidine / sodium nitrite", "chlorhexidine / tetracaine", "chlorhexidine / tolnaftate", "chlorhexidine acetate", "chlorhexidine diacetate", "chlorhexidine gluconate", "chlorhexidine hydrochloride", "chloric acid", "chloride hexahydrate", "chloride ion", "chlorine", "chlorine dioxide", "chlorite ion", "chlormadinone", "chlormadinone / ethinyl estradiol", "chlormadinone / mestranol", "chlormadinone acetate", "chlormethiazole", "chlormezanone", "chlormezanone / dipyrone", "chloroacetate", "chloroacetic acid", "chlorobutanol", "chlorobutanol / posterior pituitary hormones", "chlorobutanol / pyrogallol", "chlorobutanol / tannic acid", "chlorobutanol hemihydrate", "chlorocresol", "chlorocresol / clorophene", "chloroform", "chlorogenic acid", "chloromag", "chloromethyl methyl ether", "chloromycetin", "chlorophyll", "chlorophyll / garlic preparation / parsley extract", "chlorophyll / papain / urea", "chlorophyllin", "chlorophyllin / soybean oil", "chlorophyllin / thymol", "chlorophyllin copper complex", "chlorophyllin copper complex / papain / urea", "chlorophyllin copper complex / sodium chloride", "chlorophyllin copper complex / sodium propionate", "chloroprocaine", "chloroprocaine hydrochloride", "chloropropylate", "chloropyramine", "chloropyramine hydrochloride", "chloroquine", "chloroquine / primaquine", "chloroquine / proguanil", "chloroquine hydrochloride", "chloroquine phosphate", "chloroquine sulfate", "chlorothen", "chlorothen / methapyrilene / pyrilamine", "chlorotheophylline", "CHLOROTHEOPHYLLINE / diphenhydrAMINE", "chlorothiazide", "chlorothiazide / methyldopa", "chlorothiazide / reserpine", "chlorothiazide sodium", "chlorothymol", "chlorotrianisene", "chlorous acid", "chloroxine", "chloroxylenol", "chloroxylenol / coal tar", "chloroxylenol / copper sulfate", "chloroxylenol / ethanol", "chloroxylenol / hydrocortisone / pramoxine", "chloroxylenol / iodine / menthol", "chloroxylenol / ketoconazole", "chloroxylenol / lidocaine", "chloroxylenol / menthol", "chloroxylenol / petrolatum", "chloroxylenol / pramoxine", "chloroxylenol / pramoxine / zinc acetate", "chloroxylenol / resorcinol / sulfur", "chloroxylenol / salicylic acid", "chloroxylenol / salicylic acid / sodium thiosulfate", "chloroxylenol / triclosan", "chloroxylenol / undecylenate", "chlorozotocin", "chlorphenesin", "chlorphenesin carbamate", "chlorphenindione", "chlorpheniramine", "chlorpheniramine / chlorthenoxazin", "chlorpheniramine / codeine", "chlorpheniramine / codeine / iodinated glycerol", "chlorpheniramine / codeine / phenylephrine", "chlorpheniramine / codeine / phenylephrine / phenylpropanolamine", "chlorpheniramine / codeine / phenylephrine / potassium iodide", "chlorpheniramine / codeine / phenylpropanolamine", "chlorpheniramine / codeine / pseudoephedrine", "chlorpheniramine / dexamethasone", "chlorpheniramine / dextromethorphan", "Chlorpheniramine / Dextromethorphan / guaiacolsulfonate / guaiFENesin / Pseudoephedrine", "Chlorpheniramine / Dextromethorphan / guaiFENesin", "Chlorpheniramine / Dextromethorphan / guaiFENesin / Phenylephrine", "Chlorpheniramine / Dextromethorphan / guaiFENesin / Pseudoephedrine", "chlorpheniramine / dextromethorphan / methscopolamine", "chlorpheniramine / dextromethorphan / phenylephrine", "chlorpheniramine / dextromethorphan / phenylephrine / phenylpropanolamine", "chlorpheniramine / dextromethorphan / phenylpropanolamine", "chlorpheniramine / dextromethorphan / pseudoephedrine", "chlorpheniramine / dextromethorphan / scopolamine", "chlorpheniramine / dihydrocodeine / phenylephrine", "chlorpheniramine / dihydrocodeine / phenylephrine / phenylpropanolamine", "chlorpheniramine / dihydrocodeine / pseudoephedrine", "chlorpheniramine / dipyrone", "Chlorpheniramine / ePHEDrine", "Chlorpheniramine / ePHEDrine / guaiFENesin", "Chlorpheniramine / ePHEDrine / guaiFENesin / hydroiodic acid", "Chlorpheniramine / ePHEDrine / guaiFENesin / PHENobarbital / Theophylline", "Chlorpheniramine / ePHEDrine / oxolamine", "Chlorpheniramine / guaiFENesin", "Chlorpheniramine / guaiFENesin / HYDROcodone / Pseudoephedrine", "Chlorpheniramine / guaiFENesin / Phenylephrine", "Chlorpheniramine / guaiFENesin / Phenylephrine / Phenylpropanolamine / Pyrilamine", "Chlorpheniramine / guaiFENesin / Phenylpropanolamine", "Chlorpheniramine / guaiFENesin / Phenylpropanolamine / Pseudoephedrine", "Chlorpheniramine / guaiFENesin / Pseudoephedrine", "Chlorpheniramine / HYDROcodone", "Chlorpheniramine / HYDROcodone / Phenylephrine", "Chlorpheniramine / HYDROcodone / Phenylephrine / Pseudoephedrine / Pyrilamine", "Chlorpheniramine / HYDROcodone / Phenylephrine / Pyrilamine", "Chlorpheniramine / HYDROcodone / Pseudoephedrine", "chlorpheniramine / hydrocortisone / pheniramine / pyrilamine", "chlorpheniramine / hydrocortisone / pyrilamine", "chlorpheniramine / ibuprofen / phenylephrine", "chlorpheniramine / ibuprofen / pseudoephedrine", "chlorpheniramine / methscopolamine", "chlorpheniramine / methscopolamine / phenylephrine", "chlorpheniramine / methscopolamine / phenylpropanolamine", "chlorpheniramine / methscopolamine / pseudoephedrine", "chlorpheniramine / noscapine / phenylpropanolamine", "chlorpheniramine / paramethasone", "chlorpheniramine / phenindamine / phenylpropanolamine", "chlorpheniramine / phenylephrine", "chlorpheniramine / phenylephrine / phenylpropanolamine", "chlorpheniramine / phenylephrine / phenylpropanolamine / phenyltoloxamine", "chlorpheniramine / phenylephrine / phenylpropanolamine / pyrilamine", "chlorpheniramine / phenylephrine / phenyltoloxamine", "chlorpheniramine / phenylephrine / pyrilamine", "chlorpheniramine / phenylephrine / salicylamide", "chlorpheniramine / phenylephrine / scopolamine", "chlorpheniramine / phenylpropanolamine", "chlorpheniramine / phenylpropanolamine / phenyltoloxamine / pseudoephedrine", "chlorpheniramine / phenylpropanolamine / pseudoephedrine", "chlorpheniramine / phenylpropanolamine / pseudoephedrine / pyrilamine", "chlorpheniramine / phenylpropanolamine / pyrilamine", "chlorpheniramine / phenyltoloxamine / pseudoephedrine", "chlorpheniramine / pseudoephedrine", "chlorpheniramine / pseudoephedrine / scopolamine", "chlorpheniramine / pyrilamine", "chlorpheniramine / salicylamide", "chlorpheniramine maleate", "chlorpheniramine polistirex", "chlorpheniramine tannate", "chlorphenoxamine", "chlorphenoxamine hydrochloride", "chlorproethazine", "chlorproethazine hcl", "chlorproMAZINE", "chlorproMAZINE / Dipyrone", "chlorproMAZINE hydrochloride", "chlorproPAMIDE", "chlorproPAMIDE / metFORMIN", "chlorproPAMIDE / Phenformin", "chlorprothixene", "chlorprothixene hydrochloride", "chlorquinaldol", "chlorquinaldol / diflucortolone", "chlorquinaldol / hydrocortisone", "chlorquinaldol / promestriene", "chlortan", "chlortan d", "chlortetracycline", "chlortetracycline / demeclocycline / tetracycline", "chlortetracycline / triamcinolone", "chlortetracycline calcium", "chlortetracycline hydrochloride", "chlorthalidone", "Chlorthalidone / cloNIDine", "Chlorthalidone / hydrALAZINE / Oxprenolol", "chlorthalidone / metoprolol", "chlorthalidone / oxprenolol", "chlorthalidone / reserpine", "chlorthalidone / triamterene", "chlorthenoxazin", "chlortheophylline", "chlorzoxazone", "chlorzoxazone / clonixin", "chlorzoxazone / flufenamate", "chlorzoxazone / flufenamic acid", "chlorzoxazone / ibuprofen", "chlorzoxazone / ketoprofen", "chlorzoxazone / piroxicam", "chocolate allergenic extract", "cholate", "cholbam", "cholecalciferol", "cholecalciferol / chondroitin sulfates / glucosamine", "cholecalciferol / chromium picolinate", "cholecalciferol / cod liver oil / docosahexaenoate / eicosapentaenoate / vitamin a", "cholecalciferol / docosahexaenoate / eicosapentaenoate", "cholecalciferol / docosahexaenoate / eicosapentaenoate / vitamin e", "cholecalciferol / folic acid", "cholecalciferol / folic acid / omega-3 acid ethyl esters (usp) / phytosterols / pyridoxine / vitamin b 12", "cholecalciferol / folic acid / pyridoxine / riboflavin / vitamin b 12", "cholecalciferol / glucosamine", "cholecalciferol / glucose", "cholecalciferol / inulin", "cholecalciferol / lactobacillus reuteri", "Cholecalciferol / levOCARNitine", "cholecalciferol / magnesium oxide / turmeric extract", "cholecalciferol / omega-3 acid ethyl esters (usp)", "cholecalciferol / polysaccharide iron complex", "cholecalciferol / sodium fluoride", "cholecalciferol / soy protein isolate", "cholecalciferol / vitamin a", "cholecalciferol / vitamin e", "cholecalciferol / vitamin k 2", "cholecystokinin", "cholera vaccine", "cholesterol", "cholesteryl chloride", "cholesteryl hydroxystearate", "cholesteryl isostearate", "cholesteryl nonanoate", "cholesteryl oleate", "cholesteryl oleyl carbonate", "cholesteryl stearate", "cholesteryl sulfate", "cholesteryl-behenyl-octyldodecyl lauroyl glutamate", "cholesteryl-octyldodecyl lauroyl glutamate", "cholestyramine resin", "cholestyramine resin / diclofenac", "choleth-20", "cholic acid", "choline", "choline / cysteine", "choline / dexpanthenol", "Choline / Dextromethorphan / guaiFENesin / Phenylephrine", "Choline / diphenhydrAMINE", "Choline / diphenhydrAMINE / Phenylephrine", "choline / ginkgo biloba extract / vitamin b 12 / vitamin b6", "choline / glutamine / inositol", "choline / glycerin", "Choline / guaiFENesin / Phenylephrine", "choline / inositol", "choline / inositol / lysine / methionine / vitamin b 12", "choline / inositol / niacin", "choline / magnesium salicylate", "choline / methionine", "choline / polyethylene glycols", "choline / procaine", "choline / thiamine", "choline / yeasts", "choline bitartrate", "choline c-11", "choline chloride", "choline citrate", "choline fenofibrate", "choline hydroxide", "choline magnesium trisalicyclate", "choline salicylate", "choline stearate", "chondrodendron tomentosum root extract", "chondroitin 4-sulfate", "chondroitin sulfate (chicken)", "chondroitin sulfate a sodium", "chondroitin sulfate sodium", "chondroitin sulfate sodium (bovine)", "chondroitin sulfate sodium (porcine)", "chondroitin sulfate sodium (shark)", "chondroitin sulfate, bovine", "chondroitin sulfate, porcine", "chondroitin sulfates", "chondroitin sulfates / collagen / hyaluronate", "chondroitin sulfates / glucosamine", "chondroitin sulfates / glucosamine / hyaluronate / methylsulfonylmethane", "chondroitin sulfates / glucosamine / ibuprofen", "chondroitin sulfates / glucosamine / methylsulfonylmethane", "chondroitin sulfates / glucosamine / methylsulfonylmethane / tocopherol", "chondroitin sulfates / hyaluronate", "chondroitin sulfates / papain", "chondrus crispus carrageenan", "chondrus crispus extract", "chondrus preparation", "chooz", "choremate one-shot", "choriogonadotropin alfa", "chorionic gonadotropin", "chorulon", "chromelin", "chromic cation", "chromic chloride", "chromic chloride / copper sulfate / manganese sulfate / selenious acid / zinc sulfate", "chromic chloride / copper sulfate / manganese sulfate / zinc sulfate", "chromic chloride / niacin", "chromic chloride cr-51", "chromic phosphate p32", "chromic sulfate", "chromic sulfate / zinc sulfate", "chromium", "chromium aspartate", "chromium citrate", "chromium citrate / manganese citrate / vanadium", "chromium cr-51", "chromium dioxide", "chromium gluconate", "chromium hydroxide green", "chromium nicotinic acid complex", "chromium oxide", "chromium picolinate", "chromium picolinate / cinnamon bark", "chromium picolinate / gamboge", "chromium picolinate / grapefruit extract / lipotropic agents", "chromium picolinate / inulin", "CHROMIUM PICOLINATE / levOCARNitine", "chromium picolinate / niacin", "chromium picolinate / vitamin b6", "chromium polynicotinate", "chromium polynicotinate / thioctate", "chromium trioxide", "chromium, chelated", "chromium, chelated / manganese gluconate / zinc citrate", "chromocarb diethylamine", "chromonar", "chromonar hydrochloride", "chromous chloride", "chromous chloride / copper sulfate / manganese chloride / molybdenum / selenious acid / sodium iodide / zinc sulfate", "chromous chloride / copper sulfate / manganese chloride / selenious acid / sodium iodide / zinc sulfate", "chromous chloride / copper sulfate / manganese chloride / zinc chloride", "chromous chloride / copper sulfate / manganese sulfate / selenious acid / zinc sulfate", "chrysanthellum indicum flower oil", "chrysanthellum indicum subsp. afroamericanum extract", "chrysanthemin extract", "chrysanthemum x morifolium flower extract", "chrysin", "chrysosplenetin", "chx plus", "chymopapain", "chymosin", "chymosin / lactase", "chymosin / pepsin a", "chymotrypsin", "chymotrypsin / papain / trypsin", "chymotrypsin / trypsin", "chysanthellum indicum top extract", "cialis", "cichorium intybus flower extract", "cichorium intybus whole extract", "ciclesonide", "cicletanine", "cicletanine hcl", "ciclodan", "cicloferon", "ciclopirox", "ciclopirox olamine", "cicloxilic acid", "cicuta virosa root extract", "cicuta virosa whole extract", "cidacin", "cidaflex", "cider vinegar", "cider vinegar / kelp preparation / lecithin / vitamin b6", "cidofovir", "cidofovir anhydrous", "cifenline", "cilastatin", "cilastatin / imipenem", "cilastatin sodium", "cilazapril", "cilazapril / hydrochlorothiazide", "cilostazol", "ciloxan", "cimetidine", "cimetidine hydrochloride", "cimex lectularius preparation", "cimicifuga simplex root extract", "cimzia", "cina artemisia preparation", "cinacalcet", "cinacalcet hydrochloride", "cinametic acid", "cinametic acid / metoclopramide / simethicone", "cinchona bark extract", "cinchona officinalis bark extract", "cinchona officinalis preparation", "cinchona officinalis whole extract", "cinchona pubescens bark extract", "cinchona pubescens preparation", "cinitapride", "cinnamate", "cinnamedrine", "cinnamedrine hydrochloride", "cinnamic acid preparation", "cinnamic aldehyde", "cinnamomum aromaticum whole extract", "cinnamomum camphora leaf extract", "cinnamomum camphora resin", "cinnamomum camphora whole extract", "cinnamon allergenic extract", "cinnamon bark", "cinnamon oil", "cinnamon oil, bark", "cinnamon oil, leaf", "cinnamon preparation", "cinnamyl alcohol", "cinnarizine", "cinnarizine / dihydroergocristine", "cinnarizine / dihydroergotamine", "Cinnarizine / dimenhyDRINATE", "cinnarizine / dobesilic acid", "cinnarizine / ergoloid mesylates, usp", "cinnarizine / heptaminol", "cinnarizine / vincamine", "cinnarizine / xanthinol", "cinoxacin", "cinoxate", "cinryze", "cipro", "cipro hc", "ciprodex", "ciprofibrate", "ciprofloxacin", "ciprofloxacin / dexamethasone", "ciprofloxacin / hydrocortisone", "ciprofloxacin hydrochloride", "ciprofloxacin lactate", "cisapride", "cisapride / simethicone", "cisapride monohydrate", "cisatracurium", "cisatracurium besylate", "CISplatin", "cistanche deserticola stem extract", "cistus incanus flowering top extract", "cistus incanus whole extract", "cistus ladanifer resin", "cistus monspeliensis leaf extract", "citalopram", "citalopram hydrobromide", "citanest", "citanest forte", "citharacanthus spinicrus preparation", "citicoline", "citicoline / ergoloid mesylates, usp", "Citicoline / niMODipine", "citicoline sodium", "citiolone", "citiolone / silymarin", "citra ph", "citracal", "citracal maximum + d", "citracal petites", "citracal regular + d", "citraconate", "citraconic acid", "citral", "citranatal b-calm 30 day pack", "citrate", "citravet", "citric acid", "Citric Acid / Dextromethorphan / guaiFENesin / potassium citrate", "citric acid / dextromethorphan / phenylephrine / sodium citrate", "citric acid / gluconolactone / magnesium carbonate", "citric acid / glucose / sodium citrate", "citric acid / magnesium carbonate / potassium citrate", "citric acid / magnesium oxide / picosulfate sodium", "citric acid / magnesium oxide / sodium carbonate", "citric acid / pepsin a", "citric acid / potassium bicarbonate", "citric acid / potassium bicarbonate / sodium bicarbonate", "citric acid / potassium citrate", "citric acid / potassium citrate / sodium citrate", "citric acid / simethicone / sodium bicarbonate", "citric acid / sodium bicarbonate", "citric acid / sodium citrate", "citric acid / stevioside / tartaric acid", "citric acid / tartaric acid", "citric acid acetate", "citric acid monohydrate", "citric acid, 1-stearyl ester", "citric acid, anhydrous", "citrobacter koseri", "citroma", "citronella oil", "citronellal", "citronellol acetate, (r)-", "citronellol acetate, (s)-", "citrucel", "citrulline", "citrullus colocynthis fruit extract", "citrullus colocynthis fruit pulp extract", "citrullus colocynthis whole extract", "citrus aurantifolia seed oil", "citrus aurantiifolia flower extract", "citrus aurantiifolia fruit oil", "citrus aurantiifolia leaf oil", "citrus aurantiifolia whole extract", "citrus aurantium flower extract", "citrus aurantium flower oil", "citrus aurantium fruit extract", "citrus aurantium fruit oil", "citrus aurantium fruit rind extract", "citrus aurantium leafy twig oil", "citrus bergamia leaf extract", "citrus bioflavonoids", "citrus junos fruit extract", "citrus junos seed extract", "citrus limon fruit oil", "citrus limon seed oil", "citrus maxima fruit oil", "citrus maxima fruit rind extract", "citrus maxima fruit rind oil", "citrus maxima leaf extract", "citrus maxima seed extract", "citrus medica fruit extract", "citrus nobilis extract", "citrus paradisi fruit oil", "citrus paradisi, whole extract", "citrus pectin", "citrus pectin extract", "citrus pectin extract / lactobacillus acidophilus", "citrus reticulata fruit oil", "citrus reticulata leaf oil", "citrus sinensis flower extract", "citrus sinensis flower oil", "citrus sinensis flower wax", "citrus sinensis fruit oil", "citrus sinensis whole extract", "cladanthus mixtus flower volatile oil", "cladanthus mixtus whole extract", "cladosiphon okamuranus preparation", "cladosoprium cladosporioides allergenic extract", "cladosporium cladosporioides allergenic extract", "cladosporium cladosporioides extract", "cladosporium herbarum extract", "cladosporium sphaerospermum allergenic extract", "cladribine", "claforan", "clam allergenic extract", "claravis", "clarifoam", "clarinex", "clarinex-d", "claris", "clarithromycin", "claritin", "claritin eye", "claritin-d", "claro", "clarus", "clary sage extract", "clary sage oil", "clavamox", "claviceps purpurea sclerotium", "clavulanate", "clavulanate / ticarcillin", "clavulanate potassium", "clavulanic acid", "clavulanic acid / ticarcillin", "clean and clear", "clean and clear advantage", "clean and clear advantage acne", "clean and clear advantage acne cleanser", "clean and clear advantage acne control benzoyl peroxide cleanser", "clean and clear advantage acne control benzoyl peroxide treatment", "clean and clear advantage acne control benzoyl peroxide {1 (1 oz) (benzoyl peroxide 2.5 % topical gel [clean and clear advantage acne control benzoyl peroxide treatment]) / 1 (4 oz) (benzoyl peroxide 5 % medicated liquid soap [clean and clear advantage acne control benzoyl peroxide cleanser]) } pack", "clean and clear advantage acne control kit {1 (4 fl oz) (benzoyl peroxide 10 % medicated liquid soap [clean and clear advantage breakout erasing cleanser]) / 1 (0.5 fl oz) (salicylic acid 2 % topical gel [clean and clear advantage mark erasing spot treatment]) / 1 (2 fl oz) (salicylic acid 0.5 % topical lotion [clean and clear advantage acne control moisturizer]) } pack", "clean and clear advantage acne control moisturizer", "clean and clear advantage breakout erasing cleanser", "clean and clear advantage mark erasing spot treatment", "clean and clear advantage mark treatment", "clean and clear advantage oil absorbing cleanser", "clean and clear advantage popped pimple relief", "clean and clear blackhead eraser", "clean and clear deep cleaning", "clean and clear sensitive skin", "clean force", "clean force antibacterial", "cleanoz saline", "cleanse and treat ( benzoyl peroxide 5 % / salicylic acid 2 % ) cloth", "clear days ahead", "clear eyes complete", "clear eyes cooling comfort", "clear eyes cooling comfort redness relief", "clear eyes natural tears", "clear eyes redness relief", "clear eyes redness relief reformulated nov 2011", "clear eyes tears", "clear eyes tears and itchy eye relief", "clear eyes tears plus redness relief", "clear eyes travelers eye relief", "clear eyes triple action relief", "clear men scalp therapy", "clear proof acne medication", "clear proof acne treatment", "clear start emergency spot fix", "clearasil", "clearasil acne control", "clearasil daily clear", "clearasil daily clear adult", "clearasil daily clear clear skin kit {1 (0.45 oz) (benzoyl peroxide 10 % topical cream [clearasil]) / 1 (5 fl oz) (salicylic acid 2 % medicated liquid soap [clearasil acne control]) / 1 (1.5 fl oz) (salicylic acid 0.5 % topical lotion [clearasil daily clear hydrating lotion]) } pack", "clearasil daily clear hydrating lotion", "clearasil daily clear refreshing", "clearasil toner", "clearasil ultra 5 in 1", "clearasil ultra fast fix acne kit {1 (0.45 oz) (benzoyl peroxide 10 % topical cream [clearasil]) / 1 (5 fl oz) (salicylic acid 2 % medicated liquid soap [clearasil acne control]) / 1 (1.5 fl oz) (salicylic acid 0.5 % topical lotion [clearasil daily clear hydrating lotion]) } pack", "clearasil ultra rapid action", "clearasil ultra rapid action treatment", "clearcanal", "clearlax", "clearly confident", "clearly it!", "clearplex", "clearskin", "clearskin blemish", "clearskin pore penetrating black mineral mask", "clearskin professional daily correcting", "cleartime indoor & outdoor allergies", "cleartime nasal decongestant", "clebopride", "clebopride maleate", "cleeravue-m", "clemastine", "clemastine / clocortolone", "clemastine / dexamethasone", "clemastine / phenylpropanolamine", "clemastine fumarate", "clematis chinensis root extract", "clematis hexapetala whole extract", "clematis recta flowering top extract", "clematis virginiana top", "clematis vitalba flower extract", "clematis vitalba leaf extract", "clematis vitalba top extract", "clemizolpenicillin", "clemizolpenicillin / penicillin g", "clenbuterol", "clenbuterol hydrochloride", "clenia", "clenziderm", "clenziderm lotion", "clenziderm moisturizer", "cleocin", "cleocin-t", "clerodendranthus spicatus leaf extract", "clevidipine", "clevidipine butyrate", "cleviprex", "clidinium", "clidinium bromide", "climara", "climara pro", "climbazole", "climbazole / piroctone olamine", "clinac", "clinacort", "clindacin", "clindacure", "clindagel", "clindamax", "clindamed", "clindamycin", "clindamycin / glucose", "clindamycin / tretinoin", "clindamycin hydrochloride", "clindamycin palmitate", "clindamycin palmitate hydrochloride", "clindamycin phosphate", "clindesse", "clindets", "clindrops", "clinidine", "clinimix 2.75/5", "clinimix 4.25/10", "clinimix 4.25/20", "clinimix 4.25/25", "clinimix 4.25/5", "clinimix 5/15", "clinimix 5/20", "clinimix 5/25", "clinimix e 2.75/10", "clinimix e 2.75/5", "clinimix e 4.25/10", "clinimix e 4.25/25", "clinimix e 4.25/5", "clinimix e 5/15", "clinimix e 5/20", "clinimix e 5/25", "clinisol 15", "clinpro 5000", "clinpro tooth creme", "clinsol", "clintabs", "clioquinol", "clioquinol / coal tar / hydrocortisone", "clioquinol / dexamethasone", "clioquinol / flumethasone", "clioquinol / fluocinolone", "clioquinol / fluocinonide", "clioquinol / hydrocortisone", "clioquinol / hydrocortisone / pramoxine", "clioquinol / phthalylsulfathiazole", "clioquinol / triamcinolone", "clobazam", "clobenzorex", "clobenzorex hydrochloride", "clobetasol", "clobetasol propionate", "clobetasone", "clobetasone / neomycin", "clobetasone butyrate", "clobex", "clobutinol", "clobutinol / metaproterenol", "clobutinol hydrochloride", "clocinizine", "clocinizine hcl", "cloconazole hcl", "clocortolone", "clocortolone / salicylic acid", "clocortolone pivalate", "clodan", "cloderm", "clodronate disodium", "clodronic acid", "clofarabine", "clofazimine", "clofera", "clofexamide", "clofexamide / clofezone", "clofexamide hcl", "clofezone", "clofibrate", "clofibrate / nicotinyl alcohol", "clofoctol", "clolar", "clomethiazole edisylate", "clomicalm", "clomiPHENE", "clomiPHENE Citrate", "clomiPRAMINE", "clomiPRAMINE Hydrochloride", "clomocycline", "clomocycline sodium", "clonazePAM", "cloNIDine", "cloNIDine / cyclothiazide", "cloNIDine / Hydrochlorothiazide / Triamterene", "cloNIDine Hydrochloride", "clonixin", "clonixin / cyclobenzaprine", "clonixin / cyproheptadine / ergotamine", "clonixin / ergotamine", "clonixin / propinox", "clonixin / scopolamine", "clonostachys rosea f. rosea allergenic extract", "clopamide", "clopamide / dihydroergocristine / reserpine", "clopamide / pindolol", "clopamide / reserpine", "clopidogrel", "clopidogrel bisulfate", "clopidol", "cloprednol", "cloprostenol", "cloprostenol sodium", "clorazepate", "clorazepate / domperidone", "clorazepate / mazindol", "clorazepate / sulpiride", "clorazepate dipotassium", "clorazepic acid", "clorazepic acid / domperidone", "clorophene", "clorpactin wcs-90", "clorpres", "clorsulon", "clorsulon / ivermectin", "close up", "clospirazine", "clospirazine hydrochloride", "clostebol", "clostebol / neomycin", "clostebol acetate", "clostridium difficile (bacteria)", "clostridium perfringens", "closys toothpaste", "clothiapine", "clotiazepam", "clotrimazoil", "clotrimazole", "clotrimazole / dexamethasone", "clotrimazole / gentamicin / mometasone", "clotrimazole / hexamidine", "Clotrimazole / hexamidine / prednisoLONE", "clotrimazole / hydrocortisone", "clotrimazole / nimorazole", "clotrimazole / phenylethyl alcohol", "clotrimazole / urea", "clotrimazole / zinc oxide", "clove allergenic extract", "clove leaf oil", "clove oil", "clove oil / eucalyptus oil / menthol", "clove preparation", "clove stem oil", "cloverine", "cloxacillin", "cloxacillin sodium", "cloxazolam", "cloZAPine", "clozaril", "cluster fig extract", "cnidium officinale root extract", "cnidium officinale root oil", "cnidium officinale whole extract", "cnidium seed extract", "cnl8", "coachwhip stem extract", "coagadex", "coagulation factor ix (recombinant human)", "coagulation factor ix recombinant immunoglobulin g1 fusion protein", "coagulation factor viia recombinant human", "coagulation factor xiii a-subunit (recombinant)", "coal tar", "coal tar / dodecyl sulfate", "coal tar / flumethasone / salicylic acid", "coal tar / fluocinolone", "coal tar / hydrocortisone", "coal tar / juniper tar / pine tar", "coal tar / lactate / salicylic acid", "coal tar / lecithin", "coal tar / menthol", "coal tar / menthol / salicylic acid", "coal tar / mercury, ammoniated / methenamine", "coal tar / pine tar", "coal tar / polysorbate 80", "coal tar / pyrithione", "coal tar / resorcinol / salicylic acid", "coal tar / salicylic acid", "coal tar / salicylic acid / sulfur", "coal tar / salicylic acid / sulfur,colloidal", "coal tar / sulfur", "coal tar / triamcinolone", "coal tar extract", "coal tar pitch volatiles", "coartem", "coast live oak pollen extract", "coast maple pollen extract", "coast sage pollen extract", "cobalamin concentrate", "cobalamins", "cobalamins / vitamin b 12", "cobalt", "cobalt acetate", "cobalt disodium edetate", "cobalt gluconate", "cobalt gluconate / manganese gluconate", "cobalt sulfate", "cobaltous cation", "cobaltous chloride", "cobaltous chloride hexahydrate", "cobaltous nitrate", "cobaltous nitrate hexahydrate", "cobamamide", "cobamamide / cyproheptadine", "cobamamide / folic acid", "cobamamide / vitamin b 12", "cobicistat", "cobicistat / darunavir", "cobicistat / elvitegravir / emtricitabine / tenofovir alafenamide", "cobicistat / elvitegravir / emtricitabine / tenofovir disoproxil", "cobimetinib", "cobimetinib fumarate", "cobolin-m", "cocaine", "Cocaine / EPINEPHrine", "cocaine / homatropine", "cocaine hydrochloride", "cocamidopropyl betaine", "cocamidopropyl hydroxysultaine", "cocamidopropyl pg-dimonium chloride phosphate", "cocamidopropyl propylene glycol-dimonium chloride", "cocamidopropylamine oxide", "cocamine", "cocamine oxide", "cocci-cure c for calves", "cocci-cure p for poultry", "coccidioides immitis spherule", "coccidioidin", "coccinella septempunctata preparation", "coccinia grandis fruit extract", "coceth-7 carboxylic acid", "cochineal", "cochlearia officinalis flowering top extract", "cochliobolus sativus extract", "cochliobolus spicifer allergenic extract", "cocklebur extract", "cocklebur pollen extract", "coco diethanolamide", "coco diisopropanolamide", "coco glucoside", "coco monoethanolamide", "coco monoisopropanolamide", "coco-betaine", "coco-caprylate", "coco-caprylate-caprate", "coco-glycerides", "coco-sulfate", "cocoa bean allergenic extract", "cocoa butter", "cocoa butter / phenylephrine", "cocoa butter / phenylephrine / shark liver oil", "cocoa butter / shark liver oil", "cocoa butter / zinc oxide", "cocoa extract", "cocoamphoacetate", "cocoamphodiacetate", "cocoamphodipropionate", "cocoate", "coconut acid", "coconut alcohol", "coconut allergenic extract", "coconut extract", "coconut juice", "coconut oil", "coconut oil / linseed oil", "coconut oil glycereth-8 esters", "cocos nucifera whole extract", "cocoyl glutamate", "cocoyl glycinate", "cocoyl isethionate", "cocoyl sarcosinate", "cod liver oil", "cod liver oil / petrolatum", "cod liver oil / zinc oxide", "cod, unspecified preparation", "codar ar", "codar d", "codar gf", "codeine", "codeine / dexbrompheniramine / pseudoephedrine", "codeine / dexchlorpheniramine / phenylephrine", "codeine / diclofenac", "Codeine / diphenhydrAMINE", "Codeine / diphenhydrAMINE / Phenylephrine", "Codeine / ePHEDrine", "Codeine / ePHEDrine / guaiFENesin", "Codeine / ePHEDrine / Pyrilamine", "codeine / erysimum preparation", "codeine / ethylmorphine", "codeine / guaiacolsulfonate", "codeine / guaiacolsulfonic acid / phenylephrine / promethazine", "codeine / guaiacolsulfonic acid / promethazine", "Codeine / guaiFENesin", "Codeine / guaiFENesin / Pheniramine", "Codeine / guaiFENesin / Phenylephrine", "Codeine / guaiFENesin / Phenylpropanolamine", "Codeine / guaiFENesin / phenyltoloxamine", "Codeine / guaiFENesin / Promethazine", "Codeine / guaiFENesin / Pseudoephedrine", "Codeine / guaiFENesin / Pseudoephedrine / Triprolidine", "codeine / ibuprofen", "codeine / iodinated glycerol", "codeine / kaolin", "codeine / menthol / pheniramine / phenylephrine", "codeine / papaverine", "codeine / pheniramine / phenylephrine", "codeine / pheniramine / phenylephrine / sodium citrate", "codeine / phenylephrine", "codeine / phenylephrine / promethazine", "codeine / phenylephrine / pseudoephedrine", "codeine / phenylephrine / pyrilamine", "codeine / phenylephrine / triprolidine", "codeine / phenylpropanolamine / promethazine", "codeine / phenyltoloxamine", "codeine / potassium", "codeine / potassium citrate", "codeine / promethazine", "codeine / propyphenazone", "codeine / pseudoephedrine", "codeine / pseudoephedrine / pyrilamine", "codeine / pseudoephedrine / triprolidine", "codeine / pyrilamine", "codeine / terpin hydrate", "codeine anhyd", "codeine anhydrous", "codeine camsyl", "codeine hydrochloride", "codeine phosphate", "codeine phosphate anhydrous", "codeine polistirex", "codeine sulfate", "codfish allergenic extract", "codium tomentosum extract", "codonopsis lanceolata root extract", "codrix", "coenzyme a", "coenzyme q10", "coenzyme q10 / docosahexaenoate / eicosapentaenoate / vitamin e", "coenzyme q10 / folic acid / vitamin b 12 / vitamin b6", "coenzyme q10 / garlic preparation / hawthorn preparation / vitamin e", "coenzyme q10 / ginkgo biloba extract", "coenzyme q10 / glycine / isoleucine", "coenzyme Q10 / levOCARNitine", "coenzyme Q10 / levOCARNitine / Vitamin E", "coenzyme q10 / red yeast rice", "coenzyme q10 / riboflavin", "coenzyme q10 / thioctate / vitamin e", "coenzyme q10 / vitamin e", "coenzyme q10, (2z)-", "coffea arabica fruit extract", "coffea arabica seed, roasted, extract", "coffee bean allergenic extract", "coffee fruit preparation", "cogentin", "coix lacryma-jobi seed extract", "coix lacryma-jobi seed oil", "coix lacryma-jobi var. ma-yuen seed extract", "coix lacryma-jobi var. ma-yuen seed oil", "cola acuminata seed extract", "cola extract", "cola nut extract", "colace", "colazal", "colchicine", "colchicine / podophyllin", "colchicine / probenecid", "colchicum autumnale bulb extract", "colchicum autumnale flower extract", "colchicum autumnale seed extract", "colchicum autumnale whole extract", "colcrys", "cold spot", "cold spot with methyl salicylate", "coldcough pd", "colesevelam", "colesevelam hydrochloride", "colestid", "colestipol", "colestipol hydrochloride", "coleus forskohlii root oil", "colfosceril", "colfosceril palmitate", "colgate", "colgate 2 in 1", "colgate enamel health", "colgate optic white", "colgate optic white dual action", "colgate proclinical", "colgate sensitive pro relief", "colgate senstitive", "colgate total advanced", "colgate total mouthwash", "colgate total zx", "colidrops pediatric", "colistimethate", "colistimethate sodium", "colistin", "colistin / furazolidone", "colistin / hydrocortisone / neomycin / thonzonium", "colistin sulfate", "collagen", "collagen / tretinoin", "collagen alpha-1(iii) (human)", "collagen hemostat", "collagen type i", "collagen type i, bovine", "collagen, hydrolyzed", "collagen, soluble, fish skin", "collagen,activated", "collagenase", "collagenase clostridium histolyticum", "colletotrichum coccodes allergenic extract", "collinsonia canadensis root extract", "collinsonia extract", "colloid sulfur", "colloidal oatmeal", "colloidal oatmeal / menthol", "colloidal oatmeal / salicylic acid", "colloidal oatmeal 2 % ointment 30 gm / colloidal oatmeal 1 % lotion 120 ml topical pack", "colocasia esculenta root extract", "colocort", "colonial bent grass pollen extract", "colrex", "coltalin nd", "coltsfoot leaf extract", "coly mycin m", "coly mycin s", "colyte", "combi-pen-48", "combigan", "combipatch", "combipres", "combivent", "combivir", "comboguard", "combretum micranthum leaf extract", "cometriq", "cometriq 100 mg daily dose carton pack", "cometriq 140 mg daily dose carton pack, 4 blister cards, 28 capsules each", "cometriq 60 mg daily dose carton pack, 4 blister cards, 21 capsules each", "comfort caine", "comfort gel", "comfort shield", "comfortcaine", "comfortis", "comfrey leaf extract", "comfrey root extract", "commiphora africana resin", "commiphora madagascariensis resin extract", "commiphora myrrha top extract", "commiphora myrrha whole extract", "commit lozenge", "common carp allergenic extract", "common chickweed leaf extract", "common cocklebur pollen extract", "common cockleburr pollen extract", "common hazel pollen extract", "common paper wasp venom protein", "common paper wasp venom protein / metricus paper wasp venom protein / northern paper wasp venom protein / red paper wasp venom protein", "common sagebrush pollen extract", "common wasp venom protein", "common wasp venom protein / eastern yellowjacket venom protein / german wasp venom protein / southern yellowjacket venom protein / western yellowjacket venom protein", "common wormwood pollen extract", "comocladia dentata bark-leaf extract", "compazine", "complera", "complex b", "complexion clear", "complexion clear rejuvenating", "compound 347", "compound benzoin tincture (usp)", "compound benzoin tincture (usp) / podophyllum preparation", "compound w brand of salicylic acid", "compoz", "compro", "comtan", "comtrex deep chest cold non drowsy", "comtrex sore throat relief", "comvax", "concept ob", "conceptrol", "concerta", "concord grape allergenic extract", "condoliase", "condylox", "congestac", "congestaid ii", "coniferyl alcohol", "coniine", "conium maculatum flowering top extract", "conium maculatum preparation", "conium maculatum root extract", "conium preparation", "conivaptan", "conivaptan / glucose", "conivaptan hydrochloride", "constant albicans extract", "constulose", "contac 12 hour allergy", "contac cold", "contac cold and flu non drowsy maximum strength", "contrave", "control rx", "convallaria majalis bulb extract", "convallaria majalis extract", "convallaria majalis flower top extract", "convenia", "conyza canadensis extract", "conzip", "cool bottoms", "cootamundra wattle pollen extract", "copaifera officinalis resin", "copaxone", "cope brand of aspirin-caffeine", "copegus", "copiba oil", "copper", "copper arsenate", "copper carbonate", "copper chloride", "copper edta", "copper gluconate", "copper gluconate / zinc picolinate", "copper naphthenate", "copper pidolate", "copper sulfate", "copper sulfate / ferrous fumarate / folic acid / magnesium sulfate / manganese sulfate / niacinamide / pantothenate / polysaccharide iron complex / pyridoxine / riboflavin / sodium ascorbate / thiamine / vitamin b 12 / zinc sulfate", "copper sulfate / ferrous fumarate / folic acid / magnesium sulfate / manganese sulfate / niacinamide / pantothenate / pyridoxine / riboflavin / sodium ascorbate / thiamine / vitamin b 12 / zinc sulfate", "copper sulfate / ferrous fumarate / folic acid / magnesium sulfate / manganese sulfate / niacinamide / pantothenic acid / pyridoxine / riboflavin / sodium ascorbate / thiamine / vitamin b 12 / zinc sulfate", "copper sulfate / ferrous fumarate / folic acid / manganese sulfate / niacinamide / pantothenate / polysaccharide iron complex / pyridoxine / riboflavin / sodium ascorbate / thiamine / vitamin b 12 / zinc sulfate", "coptis chinensis root extract", "coptis japonica root extract", "corallina officinalis extract", "corallium rubrum exoskeleton preparation", "coraz", "coraz lotion convenience kit", "cordarone", "cordia sebestena flower extract", "cordran", "cordyceps gunnii fruiting body extract", "cordyceps sinensis preparation", "coreg", "corgard", "coriander extract", "coriander extract / sennosides, usp", "coriander oil", "coriandrum sativum whole extract", "coricidin hbp chest congestion", "coricidin hbp cold & flu", "coricidin hbp cough and cold", "coricidin night time cold relief", "corid", "corifact", "corisin", "corlanor", "corlopam", "cormax", "corn allergenic extract", "corn cob extract", "corn grain extract", "corn oil", "corn pollen extract", "corn silk preparation", "corn smut allergenic extract", "corn syrup", "cornsilk", "cornstarch", "cornstarch / kaolin / zinc oxide", "cornstarch / lanolin / zinc oxide", "cornucrescine daily hoof barrier", "cornus officinalis fruit extract", "corona multi-purpose", "corona udder butter", "correct (new formula)", "correct dose childrens allergy relief", "correctol laxative reformulated feb 2008", "cortaid", "cortaid poison ivy care", "cortalo", "cortalone", "cortane-b", "cortef", "cortenema", "corticool", "corticorelin human triflutate", "corticorelin ovine", "corticorelin ovine triflutate", "corticotropin", "corticotropin / zinc hydroxide", "corticotropin, human", "corticotropin-releasing hormone", "cortifoam", "cortisil mdx", "cortisol succinate", "cortisone", "cortisone acetate", "cortisporin", "cortisporin ointment", "cortisporin-tc", "cortivazol", "cortizone-10", "cortizone-10 anal itch cream", "cortizone-5", "cortomycin", "cortomycin ointment", "cortrosyn", "corvert", "corydalis alpigena whole extract", "corydalis ambigua tuber extract", "corydalis bungeana flowering-fruiting top extract", "corydalis bungeana whole extract", "corydalis decumbens root extract", "corydalis yanhusuo tuber extract", "corylus americanan nut oil", "corymbia citriodora leaf oil", "corzall", "corzall plus", "corzide", "cosamin", "cosentyx", "cosmegen", "cosopt", "costus root oil", "cosyntropin", "cosyntropin hexahydrate", "cotab a", "cotab ax", "cotabflu", "cotacort", "cotellic", "cotolone", "cotton allergenic extract", "cotton fiber allergenic extract", "cotton fiber extract", "cotton seed allergenic extract", "cotton seed extract", "cottonmouth venom", "cottonseed extract", "cottonseed oil", "cough out", "coumadin", "coumarin", "coumarin / rutin", "coumarin / troxerutin", "counteract cough drops", "counteract ib", "counteract pain", "counteract pm", "covaryx", "covera", "cow milk allergenic extract", "coxiella burnetii", "coxsackievirus a", "coxsackievirus b", "cozaar", "cr-gtf", "crab allergenic extract", "crambe hispanica subsp. abyssinica seed oil", "crambe maritima leaf extract", "crambe maritima whole extract", "cranberry allergenic extract", "cranberry juice", "cranberry preparation", "cranberry preparation / evening primrose extract / gamma-linolenate / linoleate", "cranberry preparation / evening primrose oil", "cranberry preparation / milk thistle extract", "cranberry preparation / olive leaf extract", "cranberry seed oil", "crantex la", "crataegus extract", "crataegus laevigata fruit", "crataegus monogyna flower extract", "crataegus monogyna fruit extract", "creatine", "creatine monohydrate", "creatinine", "creeping bentgrass pollen extract", "creo-terpin", "creomulsion", "creon", "creosol", "creosote", "creosote / guaiacol / methyl salicylate", "cresatin", "cresemba", "cresol", "cresol / formaldehyde", "crest", "crest mouthwash", "crest pro-health", "crest pro-health for me", "crest sensitivity", "crested dogstail pollen extract", "crestor", "cresylate", "cricket allergenic extract", "crinone", "crinum asiaticum whole extract", "crithmum maritimum extract", "critic-aid clear", "critic-aid clear moisture", "critic-aid skin", "crixivan", "crizotinib", "crm chromium picolinate", "croconazole", "crofab", "crofelemer", "crohn's disease starter pack 40 mg/0.8 ml pen (6 count)", "crolom", "cromoglycate", "cromolyn", "cromolyn / naphazoline", "cromolyn / xylometazoline", "cromolyn sodium", "croscarmellose", "croscarmellose sodium", "croscarmellose sodium type a", "crospovidone", "crospovidone (12 mpa.s at 5%)", "crospovidone (19 mpa.s at 5%)", "crotalus adamanteus antivenin", "crotalus atrox antivenin", "crotalus durissus terrificus venom extract", "crotalus horridus horridus venom", "crotalus scutulatus antivenin", "crotamiton", "crotamiton / fluocinolone", "crotamiton / hydrocortisone", "croton eluteria bark extract", "croton lechleri resin", "croton oil", "croton tiglium seed extract", "croton tiglium whole extract", "cruex", "cruex antifungal", "cruex prescription strength", "cryptenamine", "cryptenamine / methyclothiazide", "cryptenamine acetates", "cryptenamine tannates", "crypthecodinium cohnii dha oil", "cryptocarya agathophylla leaf oil", "cryptosporidium parvum", "cryselle 28 day pack", "ctx3 rinse", "ctx4 gel", "ctx4 rinse", "cuadriderma", "cubicin", "cucumaria frondosa preparation", "cucumaria sea cucumber extract", "cucumber allergenic extract", "cucumber extract", "cucumber fruit oil", "cucumber juice extract", "cucumber seed extract", "cucumber seed oil", "cucumis melo extract", "cucumis melo var. cantalupensis whole extract", "cucumis sativus leaf extract", "cucumis sativus whole extract", "cucurbita pepo flower extract", "cucurbita pepo whole extract", "culex pipiens preparation", "cullen corylifolium fruit extract", "cultivated barley pollen extract", "cultivated mushroom allergenic extract", "cultivated mushroom extract", "cultivated oat pollen extract", "cultivated rye grass pollen extract", "culturelle", "culturelle digestive health", "cumenesulfonate", "cumin allergenic extract", "cupressus sempervirens fruiting leafy twig extract", "cupressus sempervirens leaf extract", "cupressus sempervirens leaf oil", "cupressus sempervirens leafy twig extract", "cupressus sempervirens seed extract", "cupressus sempervirens whole extract", "cupric acetate", "cupric arsenite", "cupric carbonate basic", "cupric cation", "cupric chloride", "cupric glycinate", "cupric oxide", "cupric oxide / folic acid / niacinamide / zinc oxide", "cuprimine", "cuprous chloride", "cuprous oxide", "cuprous oxide / folic acid / niacinamide / zinc oxide", "curcuma amada whole extract", "curcuma aromatica root oil", "curcuma longa leaf extract", "curcuma longa whole extract", "curcuma xanthorrhiza oil", "curcuma zedoaria leaf extract", "curcuma zedoria root extract", "curcumin", "curdlan", "cured fat, pork side bacon", "curosurf", "curvularia extract", "curvularia inequalis allergenic extract", "cuscuta chinensis seed extract", "cuscuta japonica seed extract", "cutar", "cuticura antibacterial", "cutiecaine", "cutivate", "cuttle fish ink", "cuttlefish preparation", "cuvposa", "cyamemazine", "cyamemazine tartrate", "cyanocobalamin co57", "cyanokit", "cyathula officinalis root extract", "cyberlindnera jadinii rna", "cyclacillin", "cyclafem 1/35 28 day pack", "cyclafem 7/7/7 28 day pack", "cyclamate", "cyclamate / saccharin", "cyclamen aldehyde", "cyclamen purpurascens tuber extract", "cyclandelate", "cyclandelate / etofylline", "cyclessa 28 day pack", "cyclic amp", "cyclivert", "cyclizine", "cyclizine / dipipanone", "cyclizine / morphine", "cyclizine hydrochloride", "cyclizine lactate", "cyclizine tartrate", "cycloadiphenine", "cycloadiphenine / propyphenazone", "cycloadiphenine hydrochloride", "cyclobarbital", "cyclobenzaprine", "cyclobenzaprine / magnesium oxide", "cyclobenzaprine / methylsulfonylmethane", "cyclobenzaprine / nimesulide", "cyclobenzaprine hydrochloride", "cyclobutyrol", "cyclobutyrol sodium", "cyclocort", "cyclodextrins", "cyclofenil", "cyclogyl", "cyclohexane", "cyclohexyl cinnamate", "cyclomethicone", "cyclomethicone 4", "cyclomethicone 5", "cyclomethicone 6", "cyclomethycaine", "cyclomethycaine / diphenhydrAMINE", "cyclomydril", "cyclonium", "cyclonium / ibuprofen", "cyclopentamine", "cyclopentamine / isoproterenol", "cyclopentamine hcl", "cyclopentamine hydrochloride", "cyclopenthiazide", "cyclopenthiazide / oxprenolol", "cyclopentolate", "cyclopentolate / phenylephrine", "cyclopentolate hydrochloride", "cyclophosphamide", "cyclophosphamide / mannitol", "cyclophosphamide anhydrous", "cyclophosphamide lyophilized", "cyclopia intermedia leaf extract", "cycloSERINE", "cycloset", "cycloSPORINE", "cycloSPORINE microemulsion", "cycloSPORINE, modified", "cyclothiazide", "cyclothiazide / triamterene", "cycrimine", "cycrimine hcl", "cydectin", "cydonia oblonga seed extract", "cyklokapron", "cylate", "cymbalta", "cymbopogon citratus leaf extract", "cymbopogon citratus whole extract", "cymbopogon flexuosus whole extract", "cymbopogon martini top extract", "cymbopogon martini whole extract", "cymbopogon schoenanthus leaf extract", "cymbopogon schoenanthus oil", "cymbopogon schoenanthus top extract", "cynanchum paniculatum root extract", "cynanchum stauntonii root extract", "cynanchum vincetoxicum leaf extract", "cynanchum vincetoxicum root extract", "cynara preparation", "cynara preparation / dehydrocholate", "cynara scolymus leaf extract", "cynodon dactylon extract", "cyperus esculentus leaf extract", "cyperus rotundus root extract", "cypripedium parvifolum root extract", "cyprodenate", "cyprodenate maleate", "cyproheptadine", "cyproheptadine / dexamethasone", "cyproheptadine / vitamin b 12", "cyproheptadine hydrochloride", "cyproheptadine pyrid phos", "cyproterone", "cyproterone / ethinyl estradiol", "cyproterone acetate", "cyramza", "cyred 28 day pack", "cystadane", "cystagon", "cystamine", "cystaran", "cysteamine", "cysteamine bitartrate", "cysteamine hydrochloride", "cysteine", "cysteine / inositol / methionine / sodium propionate / urea", "cysteine / methionine", "cysteine / vitamin b6", "cysteine hydrochloride", "cysteine, dl-", "cystemms-v", "cystex", "cystine", "cystine / inositol / racemethionine / sodium propionate / urea", "cystine / vitamin b6", "cystorelin", "cytarabine", "cytarabine liposome", "cytisus scoparius flower extract", "cytogam", "cytomegalovirus immune globulin", "cytomel", "cytosine", "cytotec", "cytovene", "cytra 2", "cytra-3", "cytra-k", "cytuss-hc nr", "d & c green 5", "d & c red # 30 aluminum lake", "d & c red no. 27", "d&c blue no. 4", "d&c brown no. 1", "d&c green no. 8", "d&c orange no. 10", "d&c orange no. 11", "d&c orange no. 4", "d&c orange no. 5", "d&c red no. 21", "d&c red no. 27 aluminum lake", "d&c red no. 28", "d&c red no. 30", "d&c red no. 34", "d&c red no. 6", "d&c red no. 6 barium lake", "d&c red no. 7", "d&c violet no. 2", "d&c yellow no. 10, aluminum lake", "d&c yellow no. 11", "d-alpha-tocopheryl acetate", "d-biotin", "d-cal", "d-glucuronic acid", "d-glutamic acid", "d-phen", "d-tal", "d-thrush", "d-transallethrin", "d-transallethrin / piperonyl butoxide", "d-vi-sol", "d-worm combo", "d.c. red no. 33", "d.c. red no. 36", "d3 dots", "dabigatran", "dabigatran etexilate", "dabigatran etexilate mesylate", "dabrafenib", "dabrafenib mesylate", "dacarbazine", "daclatasvir", "daclatasvir dihydrochloride", "daclizumab", "dacogen", "DACTINomycin", "dactylis glomerata top extract", "dactylopius coccus whole extract", "daemonodrops draco resin extract", "daemonorops draco whole extract", "dairy ease", "dairyland brand", "dairyland brand controlled iodine teat dip", "dairyland brand didecyldimethylammonium chloride teat dip", "dairyland brand sprayable chg teat dip", "daklinza", "dalay", "dalbavancin", "dalbavancin hydrochloride", "dalbergia pinnata root extract", "dalfampridine", "dalfopristin", "dalfopristin / quinupristin", "daliresp", "dallergy drops", "dallergy reformulated mar 2014", "dallergy reformulated nov 2011", "dallergy-jr reformulated feb 2009", "dalmane", "dalotuzumab", "dalteparin", "dalteparin / dihydroergotamine", "dalteparin sodium", "dalvance", "damason-p", "damiana extract", "damiana leaf preparation", "danaparoid", "danaparoid sodium", "danazol", "dandelion extract", "dandelion honey", "dandelion pollen extract", "dandelion root extract", "dandrex", "dandruff control", "danio rerio egg preparation", "danofloxacin", "danofloxacin mesylate", "danthron", "danthron / docusate", "danthron / docusate / pantothenate", "danthron / pantothenate", "danthron / pantothenic acid", "danthron / poloxamer 188", "dantrium", "dantrolene", "dantrolene sodium", "dapagliflozin", "dapagliflozin / metFORMIN", "dapagliflozin propanediol", "daphne mezereum bark extract", "daphne mezereum whole extract", "daphne odora bark extract", "dapiprazole", "dapiprazole hydrochloride", "dapsone", "dapsone / ferrous oxalate", "dapsone / isoniazid / prothionamide", "dapsone / pyrimethamine", "daptacel", "DAPTOmycin", "daranide", "daraprim", "daratumumab", "darbepoetin alfa", "darifenacin", "darifenacin hydrobromide", "dark leaved mugwort pollen extract", "darunavir", "darunavir ethanolate", "darvocet", "darvon-n", "darzalex", "dasabuvir", "dasabuvir sodium monohydrate", "dasatinib", "dasatinib anhydrous", "dasetta 1/35 28 day pack", "dasetta 7/7/7 28 day pack", "date allergenic extract", "date palm pollen extract", "datura stramonium extract", "daucus carota subsp. carota whole extract", "daucus carota subsp. sativus seed extract", "DAUNOrubicin", "DAUNOrubicin citrate", "DAUNOrubicin CITRATE LIPOSOME", "DAUNOrubicin Hydrochloride", "DAUNOrubicin Liposomal", "daunoxome", "davana oil", "dayhist-1", "daypro", "dayquil cough", "dayquil mucus control dm", "dayquil sinex", "daysee 91 day pack", "daytrana", "ddavp", "ddf blemish foaming cleanser", "ddf doctor's dermatologic formula mask", "de-chlor g", "de-chlor hc", "de-chlor mr", "de-chlor nx", "de-sone la", "deanol", "deanol / heptaminol", "deanol aceglutamate", "deanol acetamidobenzoate", "deanol bisorcate", "deanol bitartrate", "deanol pidolate", "debacterol", "deblitane 28 day pack", "debrisoquin", "debrisoquine sulfate", "debrox", "decadron", "decadron 5-12 pak", "decamethrin", "decamethrin / piperonyl butoxide", "decamethyltetrasiloxane", "decan-4-olide", "decanal", "decanoic acid", "decara", "decarboxy carnosine hydrochloride", "decavac", "decitabine", "declomycin", "deconamine", "deconex", "decoquinate", "dectomax", "decyl glucoside", "decyl jojobate", "decyl oleate", "decyl olivate", "decyl palmitate", "decylamine oxide", "decylene glycol", "decyloxazolidinone", "deep sea", "defend ii", "deferasirox", "deferiprone", "deferoxamine", "deferoxamine mesylate", "defibrotide", "deflazacort", "deflux", "degarelix", "degarelix aceate", "degarelix acetate", "dehydated alcohol", "dehydrated alcohol", "dehydroabietate", "dehydroabietic acid", "dehydroacetate", "dehydroacetic acid", "dehydrocholate", "dehydrocholate / dimethicone / pancreatin", "dehydrocholate / docusate", "dehydrocholate / docusate / phenolphthalein", "dehydrocholate / homatropine", "Dehydrocholate / homatropine / PHENobarbital", "dehydrocholate / pancreatin / pepsin a", "dehydrocholate / papaverine", "dehydrocholate / pepsin a", "dehydrocholic acid", "dehydroemetine", "dehydroemetine hydrochloride", "dehydroepiandrosterone", "dehydroepiandrosterone / dicalcium phosphate", "dehydroepiandrosterone / estradiol", "dehydroepiandrosterone / ginkgo biloba extract", "dehydrosanol", "dehydrosanol / triamterene", "dehydroxanthan gum", "del-aqua", "del-beta", "delatestryl", "delavirdine", "delavirdine mesylate", "delazinc", "delestrogen", "della barrier", "della care", "della soft", "delmopinol", "delphinium staphisagria preparation", "delphinium staphisagria seed extract", "delsym", "delsym cough plus chest congestion dm", "delsym cough plus soothing action", "delsym cough relief plus soothing action", "delsym night time cough and cold reformulated jan 2012", "delta d3", "deltasone", "delyla 28 day pack", "delzicol", "demadex", "demecarium", "demecarium bromide", "demeclocycline", "demeclocycline hydrochloride", "demegestone", "demelverin", "demelverin / trihexyphenidyl", "demelverine hcl", "demerol", "demser", "demulen 1/35 21 day pack", "demulen 1/35 28 day pack", "demulen 1/50 21 day pack", "demulen 1/50 28 day pack", "denatonium", "denatonium benzoate", "denatonium benzoate anhydrous", "denatured ethanol", "denaverine", "denaverine hydrochloride", "denavir", "dendracin neurodendraxcin", "dendranthema indicum flower extract", "dendrobium nobile stem extract", "dendryphiella vinosa allergenic extract", "denileukin diftitox", "denorex extra strength", "denorex extra strength reformulated aug 2012", "denorex therapeutic reformulated mar 2013", "denosumab", "dent-o-kain", "denta 5000 plus", "dentagel", "dental resources brand of stannous fluoride", "dental resources perio maintenance rinse", "dentapaine", "denticare denti foam", "denticare denti freeze gel", "denticare denti freeze ointment", "denticare neutral", "denticare pro gel", "deoxycholate", "deoxycholate / pepsin a", "deoxycholic acid", "deoxycholic acid, monosodium salt", "deoxycorticosterone", "deoxycortone pivalate", "deoxyribonucleases", "deoxyribonucleases / plasmin", "depacon", "depade", "depakene", "depakote", "depen", "depo-cobolin", "depo-estradiol", "depo-medrol", "depo-provera", "depo-subq provera", "depo-testosterone", "depocyt", "depodur", "deprizine", "dequalinium", "dequalinium / dibunate", "dequalinium / hexetidine", "Dequalinium / laureth-9 / prednisoLONE", "dequalinium / tetracaine", "dequalinium / tyrothricin", "dequalinium chloride", "dequalinium salicylate", "deracoxib", "deramaxx", "derifil", "derma cidol", "derma gran", "derma gran spray", "derma numb", "derma-pax", "derma-smoothe fs", "dermabon", "dermacool", "dermacool hc", "dermacort", "dermafive", "dermafix", "dermafix lanolin", "dermafoam e", "dermafungal", "dermagran", "dermagran bc", "dermagran gp", "dermakleen", "dermal-soothe", "dermalquench clear", "dermalzone", "dermamycin", "derman antifungal cream", "dermaphor", "dermaplex", "dermarest anti-itch", "dermarest dricort", "dermarest dricort creme pack", "dermarest eczema", "dermarest eczema medicated", "dermarest insect bite spray", "dermarest poison ivy", "dermarest psoriasis", "dermarest skin correcting cream", "dermasarra", "dermasav", "dermaseptin", "dermasil", "dermasorb af", "dermasorb hc", "dermasorb ta", "dermasorb xm", "dermatin", "dermatop", "dermawound", "dermawound benzocaine", "dermazene", "dermazinc", "dermazole", "dermazor", "dermoneen", "dermoplast", "dermoplast antibacterial", "dermoplast pain", "dermotic", "dermtex hc", "desempacho", "desenex", "desenex cream", "deserpidine", "deserpidine / hydrochlorothiazide", "deserpidine / methyclothiazide", "desert date extract", "desert ragweed pollen extract", "desert sand verbena leaf extract", "desferal", "desflurane", "desipramine", "desipramine dibudinate", "desipramine hydrochloride", "desirudin", "desitin", "desitin clear", "deslanoside", "desloratadine", "desloratadine / pseudoephedrine", "deslorelin", "deslorelin acetate", "desmopressin", "desmopressin acetate", "desogen 28 day pack", "desogestrel", "desogestrel / ethinyl estradiol", "desonate", "desonide", "desowen", "desoximetasone", "desoximetasone / salicylic acid", "desoxycorticosterone acetate", "desoxyn", "despec reformulated jun 2008", "despec reformulated jun 2015", "despec sr reformulated sep 2008", "desquam", "desvenlafaxine", "desvenlafaxine fumarate monohydrate", "desvenlafaxine succinate", "desyrel", "detajmium", "detajmium bitartrate", "detane", "detomidine", "detomidine hydrochloride", "detrol", "devil's claw preparation", "devil's claw preparation / hawthorn flower extract", "dewees carminative", "dex4", "dexaject", "dexamethasone", "dexamethasone / dobesilic acid / lidocaine", "dexamethasone / hypromellose", "dexamethasone / indomethacin", "dexamethasone / lidocaine", "dexamethasone / neomycin", "dexamethasone / neomycin / polymyxin b", "dexamethasone / neomycin / thiabendazole", "dexamethasone / oxytetracycline", "dexamethasone / phenylephrine", "dexamethasone / sodium phosphate", "dexamethasone / terfenadine", "dexamethasone / theophylline", "dexamethasone / tobramycin", "dexamethasone / tramazoline", "dexamethasone 0.75 mg oral tablet 12 count pack", "dexamethasone acetate", "dexamethasone isonicotinate", "dexamethasone phosphate", "dexamethasone sodium phosphate", "dexamethasone trimethyl acetate", "dexasone", "dexbrompheniramine", "dexbrompheniramine / Dextromethorphan / guaiFENesin / Phenylephrine", "dexbrompheniramine / Dextromethorphan / guaiFENesin / Pseudoephedrine", "dexbrompheniramine / dextromethorphan / phenylephrine", "dexbrompheniramine / dextromethorphan / phenylephrine / pyrilamine", "dexbrompheniramine / dextromethorphan / pseudoephedrine", "dexbrompheniramine / guaiFENesin / Pseudoephedrine", "dexbrompheniramine / HYDROcodone / Phenylephrine", "dexbrompheniramine / phenylephrine", "dexbrompheniramine / phenylephrine / pyrilamine", "dexbrompheniramine / pseudoephedrine", "dexbrompheniramine / pseudoephedrine / pyrilamine", "dexbrompheniramine / pyrilamine", "dexbrompheniramine maleate", "dexbrompheniramine tannate", "dexchlorpheniramine", "dexchlorpheniramine / Dextromethorphan / guaiFENesin / Phenylephrine", "dexchlorpheniramine / dextromethorphan / phenylephrine", "dexchlorpheniramine / dextromethorphan / phenylephrine / pyrilamine", "dexchlorpheniramine / dextromethorphan / pseudoephedrine", "dexchlorpheniramine / guaiFENesin / HYDROcodone / Phenylephrine", "dexchlorpheniramine / guaiFENesin / Pseudoephedrine", "dexchlorpheniramine / HYDROcodone", "dexchlorpheniramine / HYDROcodone / Phenylephrine", "dexchlorpheniramine / methscopolamine / phenylephrine", "dexchlorpheniramine / methscopolamine / pseudoephedrine", "dexchlorpheniramine / phenylephrine", "dexchlorpheniramine / pseudoephedrine", "dexchlorpheniramine / pseudoephedrine / pyrilamine", "dexchlorpheniramine maleate", "dexchlorpheniramine tannate", "dexdomitor", "dexedrine", "dexetimide", "dexetimide hcl", "dexfenfluramine", "dexfenfluramine hydrochloride", "dexferrum", "dexilant", "dexium", "dexketoprofen", "dexketoprofen trometamol", "dexlansoprazole", "dexmedetomidine", "dexmedetomidine hydrochloride", "dexmethylphenidate", "dexmethylphenidate hydrochloride", "dexpak 10 day taperpak", "dexpak taperpak 13 day pack", "dexpak taperpak 6 day pack", "dexpanthenol", "dexpanthenol / diphenhydrAMINE / Lidocaine", "dexpanthenol / levomenthol / salicylic acid", "dexpanthenol / magnesium sulfate / manganese sulfate / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12 / zinc sulfate", "dexpanthenol / niacinamide / pyridoxine / riboflavin / thiamine / vitamin b 12", "dexpanthenol / niacinamide / riboflavin / thiamine / vitamin b6", "dexpanthenol / prednisoLONE / Salicylic Acid", "dexpanthenol / procaine", "dexpanthenol / salicylic acid", "dexpanthenol / zinc oxide", "dexrazoxane", "dexrazoxane hydrochloride", "dextran", "dextran / phenylbutazone", "dextran / sodium chloride", "dextran 1", "dextran 110", "dextran 40", "dextran 70", "dextran 70 / glycerin / hypromellose", "dextran 70 / hypromellose", "dextran 70 / polyethylene glycol 400 / povidone / tetrahydrozoline", "dextran 70 / polyethylene glycols", "dextran 70 / sodium chloride", "dextran 75", "dextran sulfate", "dextranase penicillium", "dextranomer", "dextranomer / hyaluronate", "dextrates", "dextroamphetamine", "dextroamphetamine saccharate", "dextroamphetamine sulfate", "dextromethorphan", "Dextromethorphan / diphenhydrAMINE", "Dextromethorphan / diphenhydrAMINE / Phenylephrine", "dextromethorphan / doxylamine", "dextromethorphan / doxylamine / phenylephrine", "dextromethorphan / doxylamine / pseudoephedrine", "dextromethorphan / dyphylline / pseudoephedrine", "Dextromethorphan / ePHEDrine", "dextromethorphan / guaiacol", "dextromethorphan / guaiacolsulfonate", "Dextromethorphan / guaiacolsulfonate / guaiFENesin", "Dextromethorphan / guaiacolsulfonate / guaiFENesin / Pseudoephedrine", "Dextromethorphan / guaiacolsulfonate / guaiFENesin / Pyrilamine", "dextromethorphan / guaiacolsulfonate / phenylephrine", "dextromethorphan / guaiacolsulfonate / phenylephrine / pyrilamine", "dextromethorphan / guaiacolsulfonic acid / phenylephrine", "dextromethorphan / guaiacolsulfonic acid / promethazine", "Dextromethorphan / guaiFENesin", "Dextromethorphan / guaiFENesin / Phenylephrine", "Dextromethorphan / guaiFENesin / Phenylephrine / Pyrilamine", "Dextromethorphan / guaiFENesin / Phenylpropanolamine", "Dextromethorphan / guaiFENesin / Phenylpropanolamine / Pyrilamine", "Dextromethorphan / guaiFENesin / Pseudoephedrine", "Dextromethorphan / guaiFENesin / Pyrilamine / sodium citrate", "Dextromethorphan / guaiFENesin / sodium citrate", "dextromethorphan / lidocaine / trolamine salicylate", "dextromethorphan / menthol", "dextromethorphan / menthol / phenylephrine", "dextromethorphan / methoxyphenamine", "dextromethorphan / pheniramine / phenylephrine", "dextromethorphan / phenylephrine", "dextromethorphan / phenylephrine / pyrilamine", "dextromethorphan / phenylephrine / sodium citrate", "dextromethorphan / phenylephrine / thonzylamine", "dextromethorphan / phenylephrine / triprolidine", "dextromethorphan / phenylpropanolamine", "dextromethorphan / potassium iodide", "dextromethorphan / promethazine", "dextromethorphan / pseudoephedrine", "dextromethorphan / pseudoephedrine / pyrilamine", "dextromethorphan / pseudoephedrine / triprolidine", "dextromethorphan / pyrilamine", "Dextromethorphan / quiNIDine", "dextromethorphan / terpin hydrate", "dextromethorphan / theophylline", "dextromethorphan / triprolidine", "dextromethorphan hydrobromide", "dextromethorphan hydrochloride", "dextromethorphan hydroiodide", "dextromethorphan polistirex", "dextromethorphan tannate", "dextromoramide", "dextromoramide tartrate", "dextrose and electrolyte no. 75", "dextrose hydrous", "dextrose monohydrate", "dextrothyroxine", "dextrothyroxine sodium", "dezocine", "dg body antibacterial", "dhe-45", "dhs salicylic acid 3%", "dhs tar shampoo", "dhs zinc", "di-(4-tert-butylcyclohexyl)peroxydicarbonate", "di-c12-13 alkyl tartrate", "di-c12-15 alkyl fumarate", "di-dak-sol", "di-gel", "di-isopropylammonium", "di-isopropylammonium / orotic acid", "di-isopropylammonium / procaine", "di-n-octyl sodium sulfosuccinate", "di-ppg-2 myreth-10 adipate", "di-ppg-3 myristyl ether adipate", "diabecline", "diabeta", "diabetic tussin", "diabetic tussin dm", "diabetic tussin ex", "diabetiderm antifungal", "diacetyl benzoyl lathyrol", "diacetyl boldine", "diacetylated monoglycerides", "diacetylrhein", "diaderm", "dial antibacterial", "dial dandruff control", "dialyvite 800", "dialyvite 800 with iron", "dialyvite 800 with zinc", "dialyvite vitamin d3 max", "diaminohydroxypropanetetraacetic acid", "diamode", "diamond", "diamond turbot extract", "diamox", "dianeal low calcium 1.5", "dianeal low calcium 2.5", "dianeal low calcium 4.25", "dianeal pd-2/1.5", "dianeal pd-2/2.5", "dianeal pd-2/4.25", "dianthus caryophyllus flower extract", "dianthus chinensis whole extract", "diapedic", "diasorb", "diastat", "diatomaceous earth", "diatrizoate", "diatrizoate lysine", "diatrizoate meglumine", "diatrizoate sodium", "diatrizoic acid", "diazepam", "diazepam / diethylpropion / fenproporex", "diazepam / fenproporex", "diazepam / hyoscyamine", "diazepam / isopropamide", "diazepam / metoclopramide / simethicone", "diazepam / octylonium", "diazepam / scopolamine", "diazepam / sulpiride", "diazolidinylurea", "diazoxide", "dibasic potassium phosphate", "dibasic potassium phosphate / glucose / lactate / magnesium chloride / potassium chloride / sodium chloride / sodium phosphate, monobasic", "dibasic potassium phosphate / glucose / magnesium chloride / potassium chloride / sodium acetate", "dibasic potassium phosphate / glucose / sodium acetate / sodium chloride", "dibasic potassium phosphate / potassium phosphate", "dibasic potassium phosphate / sodium phosphate, dibasic / sodium phosphate, monobasic", "dibasic potassium phosphate / sodium phosphate,monobasic,monohydrate", "dibasic sodium phosphate heptahydrate", "dibekacin", "dibenzepin", "dibenzepin hcl", "dibenzylidene sorbitol", "dibenzyline", "dibromopropamidine isethionate", "dibrompropamidine", "dibucaine", "dibucaine / hydrocortisone", "dibucaine / phenylbutazone", "dibucaine / policresulen", "Dibucaine / prednisoLONE", "dibucaine hydrochloride", "dibunate", "dibunate / guaiacolsulfonate", "DIBUNATE / guaiFENesin", "dibutyl adipate", "dibutyl ethylhexanoyl glutamide", "dibutyl lauroyl glutamide", "dibutyl maleate", "dibutyl phthalate", "dibutyl sebacate", "dibutyldithiocarbamate", "dicalcium phosphate", "dicalcium phosphate / vitamin b 12", "dicalcium phosphate / vitamin d", "dicalcium phosphate anhydrous", "dicaprylyl carbonate", "dicaprylyl ether", "dicel", "dicel chewable", "dicentra canadensis root extract", "dicetyldimonium chloride", "dicetylphosphate", "dichloralphenazone", "dichloroacetate", "dichloroacetic acid", "dichlorobenzene", "dichlorobenzyl alcohol", "dichlorodifluoromethane", "dichlorodifluoromethane / ethyl chloride", "dichlorodifluoromethane / trichlorofluoromethane", "dichlorodifluoromethane / trichlorotrifluoroethane", "dichlorofluoromethane", "dichlorophen", "dichlorotetrafluoroethane", "dichlorotetrafluoroethane / ethyl chloride", "dichlorphenamide", "dichromate ion", "diclazuril", "diclegis", "diclofenac", "diclofenac / fluorouracil", "diclofenac / misoprostol", "diclofenac / pridinol", "diclofenac / troxerutin", "diclofenac diethylammonium", "diclofenac epolamine", "diclofenac potassium", "diclofenac sodium", "dicloran", "dicloxacillin", "dicloxacillin sodium", "dicobalt edetate", "dicopanol", "dicresulene polymer", "dictamnus dasycarpus root bark extract", "dictamnus dasycarpus whole extract", "dictyopteris polypodioides extract", "dicumarol", "dicyclocot", "dicyclomine", "dicyclomine / doxylamine / vitamin b6", "Dicyclomine / PHENobarbital", "dicyclomine hydrochloride", "didanosine", "didecyl ether", "didecyldimethylammonium", "didecyldimethylammonium chloride", "didesmethyltocotrienol", "didodecyl phosphate", "didrex", "didronel", "dieffenbachia seguine extract", "dienestrol", "dienogest", "dienogest / estradiol", "dienogest / ethinyl estradiol", "diethadione", "diethanolamine", "diethanolamine bis(c8-c18 perfluoroalkylethyl)phosphate", "diethanolamine cetyl phosphate", "diethanolamine fusidate", "diethanolamine oleth-3 phosphate", "diethoxyethyl succinate", "diethyl (6-chloro-2-carbazoyl)methylmalonate", "diethyl oxalacetate", "diethyl phthalate", "diethyl sulfate", "diethylamine salicylate", "diethylamine salicylate / flufenamic acid / myrtecaine", "diethylamine salicylate / glycol salicylate / methylnicotinate", "diethylamine salicylate / methyl salicylate / niacin", "diethylamine salicylate / myrtecaine", "diethylamino hydroxybenzoyl hexyl benzoate", "diethylaminoethyl-dextran", "diethylaminoethyl-dextran hydrochloride", "diethylcarbamazine", "diethylcarbamazine citrate", "diethyldithiocarbamate", "diethylene glycol", "diethylene glycol adipate", "diethylene glycol diethyl ether", "diethylene glycol distearate", "diethylene glycol monobutyl ether", "diethylene glycol monoethyl ether", "diethylene glycol monomethyl ether", "diethylene glycol monophenyl ether", "diethylenetriamine pentamethylene phosphonic acid", "diethylhexyl 2,6-naphthalate", "diethylhexyl adipate", "diethylhexyl carbonate", "diethylhexyl maleate", "diethylhexyl sebacate", "diethylhexyl succinate", "diethylhexyl syringylidenemalonate", "diethylpropion", "diethylpropion hydrochloride", "diethylstilbestrol", "diethylstilbestrol / lactate", "Diethylstilbestrol / methylTESTOSTERone", "diethyltoluamide", "difebarbamate", "difebarbamate / febarbamate / PHENobarbital", "difemerine", "difemerine hcl", "difenoxin", "difenoxin hydrochloride", "difetarsone", "difetarsone sodium", "differin", "dificid", "difil g", "diflorasone", "diflorasone / gentamicin sulfate (usp)", "diflorasone diacetate", "diflubenzuron", "diflucan", "diflucortolone", "diflucortolone / isoconazole", "diflucortolone / salicylic acid", "diflucortolone valerate", "diflunisal", "difluprednate", "digex", "digiclean e foam", "digiclean slim-line", "digifab", "digisan e foam", "digitalis leaf extract", "digitalis preparation", "digitalis purpurea whole extract", "digitalis,powdered", "digitek", "digitoxin", "diglycerin", "diglycol stearate", "digox", "digoxin", "digoxin antibodies fab fragments", "dihematoporphyrin ether", "diheptyl succinate", "dihexyverine", "dihexyverine hcl", "dihydralazine", "dihydralazine / hydrochlorothiazide / reserpine", "dihydralazine / oxprenolol", "dihydralazine / propranolol", "dihydralazine sul hemipenthy", "dihydralazine sulfate", "dihydro-alpha-ergocryptine", "dihydro-alpha-ergocryptine / dihydro-beta-ergocryptine / dihydroergocornine / dihydroergocristine", "dihydro-alpha-ergocryptine mesylate", "dihydro-beta-ergocryptine", "dihydro-beta-ergocryptine mesylate", "dihydrocodeine", "dihydrocodeine / guaiFENesin", "dihydrocodeine / guaiFENesin / Phenylephrine", "dihydrocodeine / guaiFENesin / Pseudoephedrine", "dihydrocodeine / phenylephrine", "dihydrocodeine / phenylephrine / pyrilamine", "dihydrocodeine / phenyltoloxamine", "dihydrocodeine bitartrate", "dihydroergocornine", "dihydroergocornine / dihydroergocristine / dihydroergocryptine", "dihydroergocornine mesylate", "dihydroergocristine", "dihydroergocristine / lomifylline", "dihydroergocristine monomesylate", "dihydroergocryptine", "dihydroergocryptine mesylate", "dihydroergotamine", "dihydroergotamine / etilefrine", "dihydroergotamine / propyphenazone", "dihydroergotamine / troxerutin", "dihydroergotamine mesylate", "dihydroergotamine tartrate", "dihydroergotoxine", "dihydrogenated tallow phthalic acid amide", "dihydromyrcenol", "dihydrostreptomycin", "dihydrostreptomycin / penicillin g", "dihydrostreptomycin sulfate", "dihydrotachysterol", "dihydroxyacetone", "dihydroxyaluminum aminoacetate", "dihydroxyaluminum aminoacetate anhydrous", "dihydroxyaluminum sodium carbonate", "dihydroxyaluminum sodium carbonate / dimethicone", "dihydroxyaluminum sodium carbonate / simethicone", "dihydroxybenzoate", "dihydroxybutyl ether", "dihydroxybutyl ether / propinox", "dihydroxybutyl ether / simethicone", "dihydroxycetyl phosphate", "dihydroxyethyl cocamine oxide", "dihydroxypropyl peg-5 linoleammonium chloride", "dihydroxypropyltrimonium", "dihydroxypropyltrimonium chloride", "diisobutyl adipate", "diisocetyl dodecanedioate", "diisodecyl adipate", "diisopromine", "diisopromine / sorbitol", "diisopropanolamine", "diisopropyl adipate", "diisopropyl dilinoleate", "diisopropyl sebacate", "diisopropylamine", "diisostearoyl polyglyceryl-3 dimer dilinoleate", "diisostearyl dimer dilinoleate", "diisostearyl malate", "dilacor", "dilantin", "dilatrate", "dilaudid", "dilaudid cough", "dilauryl citrate", "dilauryldimonium chloride", "dill allergenic extract", "dill seed oil", "dilotab", "diloxanide", "Diloxanide / metroNIDAZOLE", "diloxanide furoate", "dilsea carnosa extract", "dilt", "diltia", "diltiazem", "diltiazem / enalapril", "diltiazem / hydrochlorothiazide", "diltiazem hydrochloride", "diltiazem malate", "diltiazem maleate", "diltzac", "dimecrotic acid", "dimecrotic acid magnesium", "dimenhyDRINATE", "dimenhyDRINATE / Niacin", "dimenhyDRINATE / Niacin / Pentylenetetrazole", "dimer dilinoleyl dimer dilinoleate", "dimercaprol", "dimercaptosuccinate", "dimetapp children's cold and allergy", "dimetapp children's cold and allergy reformulated jan 2011", "dimetapp cold", "dimetapp cold drops", "dimetapp long acting cough plus cold", "dimetapp nd", "dimetapp nighttime cold & congestion", "dimethicone", "dimethicone / glycerin", "dimethicone / lanolin", "dimethicone / lanolin / zinc oxide", "dimethicone / menthol", "dimethicone / menthol / pramoxine", "dimethicone / methylnicotinate", "dimethicone / miconazole / zinc oxide", "dimethicone / mineral oil", "dimethicone / mineral oil / zinc oxide", "dimethicone / petrolatum", "dimethicone / pipenzolate", "dimethicone / pramoxine", "dimethicone / titanium dioxide", "dimethicone / triclosan", "dimethicone / zinc oxide", "dimethicone 100", "dimethicone 1000", "dimethicone 20", "dimethicone 200", "dimethicone 350", "dimethicone 410", "dimethicone crosspolymer (450000 mpa.s at 12% in cyclopentasiloxane)", "dimethicone peg-10 phosphate", "dimethicone peg-15 acetate", "dimethicone peg-7 isostearate", "dimethicone peg-7 phosphate", "dimethicone peg-8 laurate", "dimethicone-diene dimethicone crosspolymer", "dimethicone-vinyl dimethicone crosspolymer", "dimethicone-vinyl dimethicone crosspolymer (hard particle)", "dimethicone/bis-isobutyl ppg-20 crosspolymer", "dimethiconol (100000 cst)", "dimethiconol (2000 cst)", "dimethiconol (250000 mw)", "dimethiconol (41 mpa.s)", "dimethiconol (70 cst)", "dimethiconol gum", "dimethindene", "dimethindene / phenylephrine", "dimethindene maleate", "dimethoxanate", "dimethoxanate hydrochloride", "dimethoxy di-p-cresol", "dimethyl benzyl carbinyl acetate", "dimethyl capramide", "dimethyl ether", "dimethyl fumarate", "dimethyl lauramine", "dimethyl palmitamine", "dimethyl sebacate", "dimethyl sulfoxide", "dimethyl sulfoxide / fluocinolone", "dimethylacetamide", "dimethylamphetamine", "dimethyldodecylbenzylammonium", "dimethylmethoxy chromanol", "dimethylmethoxy chromanyl palmitate", "dimethyloctadecyl(3-(trimethoxysilyl)propyl)ammonium chloride", "dimethylsilanol hyaluronate", "dimetridazole", "dimyristoylphosphatidylcholine", "dimyristoylphosphatidylcholine, dl-", "dimyristoylphosphatidylglycerol", "dimyristoylphosphatidylglycerol, dl-", "dine 5000c", "dinitolmide", "dinoprost", "dinoprost tromethamine", "dinoprostone", "dinutuximab", "dioctyl maleate", "dioctyldimonium chloride", "dioctyldodecyl dodecanedioate", "dioscorea collettii var. hypoglauca root extract", "dioscorea japonica root extract", "dioscorea oppositifolia whole extract", "dioscorea villosa tuber extract", "dioscorine", "diosmetin", "diosmin", "diosmin / hesperidin", "diospyros kaki leaf extract", "diospyros mespiliformis leaf extract", "diovan", "diovan hct", "dioxybenzone", "dipalmitoyl hydroxyproline", "dipalmitoylethyl hydroxyethylmonium methosulfate", "dipentaerythrityl hexa c5-10 acid esters", "dipentaerythrityl hexa c5-9 acid esters", "dipentaerythrityl hexacaprylate", "dipentaerythrityl hexahydroxystearate", "dipentaerythrityl hexastearate", "dipentamethylenethiuram disulfide", "dipentum", "diperodon", "diperodon / hydrocortisone", "diperodon / hydrocortisone / zinc oxide", "diperodon hydrochloride", "diphedryl", "diphemanil", "diphemanil methylsulfate", "diphenhist", "diphenhist with zinc", "diphenhydrAMINE", "diphenhydrAMINE / fomocain / Tyrothricin", "diphenhydrAMINE / guaiFENesin", "diphenhydrAMINE / guaiFENesin / Menthol / sodium citrate", "diphenhydrAMINE / HYDROcodone / Phenylephrine", "diphenhydrAMINE / Hydrocortisone", "diphenhydrAMINE / Hydrocortisone / Nystatin", "diphenhydrAMINE / Hydrocortisone / Nystatin / Tetracycline", "diphenhydrAMINE / Ibuprofen", "diphenhydrAMINE / LEVOMENTHOL", "diphenhydrAMINE / Lidocaine", "diphenhydrAMINE / Lidocaine / Nystatin", "diphenhydrAMINE / Magnesium Salicylate", "diphenhydrAMINE / Menthol", "diphenhydrAMINE / Methaqualone", "diphenhydrAMINE / Naphazoline", "diphenhydrAMINE / Naproxen", "diphenhydrAMINE / Niacin", "diphenhydrAMINE / oxeladin / salicylamide", "diphenhydrAMINE / pentaerythritol", "diphenhydrAMINE / phenol", "diphenhydrAMINE / Phenylephrine", "diphenhydrAMINE / pramoxine", "diphenhydrAMINE / Pseudoephedrine", "diphenhydrAMINE / Pyrilamine", "diphenhydrAMINE / resorcinol", "diphenhydrAMINE / Tripelennamine", "diphenhydrAMINE / Zinc acetate", "diphenhydrAMINE / Zinc Oxide", "diphenhydrAMINE Citrate", "diphenhydrAMINE DIACEFYLLINATE", "diphenhydrAMINE Hydrochloride", "diphenhydrAMINE Tannate", "diphenidol", "diphenidol hydrochloride", "diphenoxylate", "diphenoxylate hydrochloride", "diphenyl", "diphenyl dimethicone (100 cst)", "diphenyl dimethicone (400 cst)", "diphenylamine", "diphenylguanidine", "diphenylpyraline", "diphenylpyraline / phenylephrine", "diphenylpyraline / phenylpropanolamine", "diphenylpyraline hydrochloride", "diphenylsiloxy phenyl trimethicone", "diphenyltrichloroethane", "diphtheria antitoxin", "diphtheria toxoid adsorbed", "diphtheria toxoid vaccine, inactivated", "diphtheria toxoid vaccine, inactivated / haemophilus capsular oligosaccharide", "diphtheria toxoid vaccine, inactivated / tetanus toxoid vaccine, inactivated", "diphtherial respiratory pseudomembrane preparation", "diphtherial respiratory pseudomembrane preparation, human", "dipipanone", "dipivefrin", "dipivefrin / levobunolol", "dipivefrin hydrochloride", "dipotassium adipate", "dipotassium glucose-6-phosphate", "dipotassium glycyrrhizinate", "diprivan", "diprolene", "dipropizine", "dipropizine / guaiacol ethylglycolate", "dipropizine / guaiFENesin", "dipropizine, (s)-isomer", "dipropylacetamide", "dipropylene glycol", "dipropylene glycol caprate-caprylate diester", "dipropylene glycol caprylate", "dipropylene glycol dibenzoate", "dipsacus asper root extract", "dipteryx odorata seed extract", "diptheria protein", "diptheria protein / haemophilus capsular oligosaccharide", "diptheria toxoid absorbed", "dipyridamole", "dipyrithione", "dipyrone", "dipyrone / homatropine", "dipyrone / homatropine / papaverine", "dipyrone / papaverine", "dipyrone / pramiverine", "dipyrone / propinox", "dipyrone / propoxyphene", "dipyrone / scopolamine", "dipyrone / tetracycline", "dipyrone / tiemonium", "dipyrone / trospium", "dipyrone magnesium", "dirithromycin", "dirlotapide", "dirofilaria immitis", "disal", "disalcid", "discovisc", "disilver oxide", "disodium (ethoxycarbonyl)phosphonate", "disodium 2-sulfolaurate", "disodium 2-sulfopalmitate", "disodium c12-14 sec-pareth-12 sulfosuccinate", "disodium caproamphodipropionate", "disodium carboxyethyl siliconate", "disodium cocoamphodiacetate", "disodium cocoamphodipropionate", "disodium cocoyl glutamate", "disodium edetate hydrate", "disodium edta-copper", "disodium ethylene dicocamide peg-15 disulfate", "disodium ethylenediaminediacetate", "disodium glycyrrhizate", "disodium hedta", "disodium hydrogen citrate", "disodium hydrogen phosphate dehydrate", "disodium latamoxef", "disodium laureth sulfosuccinate", "disodium lauroamphodiacetate", "disodium lauryl sulfosuccinate", "disodium myristoyl glutamate", "disodium nicotinamide adenine dinucleotide", "disodium oleamido mea-sulfosuccinate", "disodium oleamido mipa-sulfosuccinate", "disodium pyrophosphate", "disodium ricinoleic monoethanolamide sulfosuccinate", "disodium stearoyl glutamate", "disodium sulfosalicylate", "disofenin", "disofenin / stannous chloride", "disopyramide", "disopyramide phosphate", "disperse blue 106", "disteardimonium hectorite", "disteareth-75 isophorone diisocyanate", "distearoylethyl hydroxyethylmonium methosulfate", "distearoylphosphatidylcholine, dl-", "distearyl ether", "distearyl phthalamic acid", "distearyldimonium", "distearyldimonium chloride", "distigmine", "disulfiram", "dithionate", "ditiocarb, zinc salt", "ditropan", "diurex", "diurex aquagels", "diurex max", "diurex water caps", "diuril", "divalproex sodium", "divigel", "dl-alpha tocopheryl acetate", "dl-lactic acid", "doan's", "doans pm", "dobesilic acid", "dobesilic acid / flunarizine", "dobesilic acid / lidocaine", "DOBUTamine", "DOBUTamine Hydrochloride", "docefrez", "DOCEtaxel", "DOCEtaxel ANHYDROUS", "doconexent", "docosaenoic acid", "docosaenoic acid / eicosapentaenoate", "docosahexaenoate", "docosahexaenoate / eicosapentaenoate", "docosahexaenoate / eicosapentaenoate / folic acid / phytosterols / policosanol / vitamin b 12 / vitamin b6", "docosahexaenoate / eicosapentaenoate / folic acid / phytosterols / vitamin b 12 / vitamin b6", "docosahexaenoate / eicosapentaenoate / folic acid / st. john's wort extract", "docosahexaenoate / eicosapentaenoate / omega-3 acid ethyl esters (usp)", "docosahexaenoate / eicosapentaenoate / omega-3 acid ethyl esters (usp) / pyridoxine / vitamin b 12", "docosahexaenoate / eicosapentaenoate / omega-3 acid ethyl esters (usp) / vitamin e", "docosahexaenoate / eicosapentaenoate / phytosterol esters", "docosahexaenoate / eicosapentaenoate / phytosterols", "docosahexaenoate / eicosapentaenoate / vitamin e", "docosahexaenoate / lutein / vitamin e", "docosahexaenoate / omega-3 acid ethyl esters (usp)", "docosahexaenoate / phosphatidylserine", "docosahexaenoate / phospholipids", "docosahexaenoic acid", "docosanol", "doctor's choice", "doculase", "doculax", "doculax plus", "docusate", "docusate / ferrous fumarate", "docusate / ferrous fumarate / folic acid", "docusate / glycerin", "docusate / phenolphthalein", "docusate / piperazine", "docusate / sennoside b", "docusate / sennosides, usp", "docusate / sorbitol", "docusate / spermaceti", "docusate calcium", "docusate potassium", "docusate sodium", "docusoft-s", "docusol", "docusol plus", "dodecahydroxycyclohexane", "dodecahydroxycyclohexane dihydrate", "dodecamethylpentasiloxane", "dodecanol", "dodecene", "dodecyl benzoate", "dodecyl gallate", "dodecyl propionate", "dodecyl sulfate", "dodecyl sulfate / lanolin", "dodecyl sulfate / oxyquinoline", "dodecyl sulfate / zinc pyrithione", "dodecyl-2-n,n-dimethylaminopropionate", "dodecyl-2-n,n-dimethylaminopropionate hydrochloride", "dodecylamine", "dodecylbenzenesulfonate", "dodecylbenzenesulfonic acid", "dodecylbenzenesulfonic acid / hydrogen peroxide / lactate", "dodecylbenzenesulfonic acid / lactate", "dodicin", "dofetilide", "dofus", "dog flea allergenic extract", "dog hair extract", "dog hair extract / dog skin extract", "dog hair extract / english plantain pollen extract", "dog hair extract / european house dust mite extract", "dog hair extract / short ragweed pollen extract", "dog skin extract", "dogfennel pollen extract", "dok", "dolasetron", "dolasetron mesylate", "dolobid", "dolofin infantil", "dologen", "dologesic", "dolomite", "dolomite / magnesium salt", "dolophine", "doloracin", "doloracin with lidocaine", "dolorex solution", "dolutegravir", "dolutegravir sodium", "domeboro", "domestic cow hair extract", "domestic cow hair extract / domestic cow skin extract", "domestic cow skin extract", "domestic goat hair extract", "domestic goat skin extract", "domiphen", "domiphen / lidocaine", "domiphen bromide", "domoso", "domperidone", "domperidone / ranitidine", "domperidone / simethicone", "domperidone maleate", "donatuss dc", "donatussin drops", "donepezil", "donepezil / memantine", "donepezil hydrochloride", "donnatal", "dopa, dl", "DOPamine", "DOPamine Hydrochloride", "dopexamine", "dopexamine hydrochloride", "dopram", "doral", "dorama-neo", "doramectin", "dorflex", "doribax", "doripenem", "dormosedan", "dornase alfa", "dornase alfa / streptokinase", "doryx", "dorzolamide", "dorzolamide / timolol", "dorzolamide hydrochloride", "dothiepin", "dothiepin hydrochloride", "douglas fir pollen extract", "douxo", "douxo calm", "dove dermaseries", "dove dermaseries eczema", "dovonex", "doxacurium", "doxacurium chloride", "doxapram", "doxapram hydrochloride", "doxazosin", "doxazosin mesylate", "doxepin", "doxepin hydrochloride", "doxercalciferol", "doxidan", "doxidan reformulated sep 2008", "doxil", "DOXOrubicin", "DOXOrubicin Hydrochloride", "DOXOrubicin hydrochloride liposome", "DOXOrubicin liposome", "doxy", "doxycycline", "doxycycline anhydrous", "doxycycline calcium", "doxycycline hyclate", "doxycycline hydrochloride", "doxycycline monohydrate", "doxylamine", "doxylamine / phenylephrine", "doxylamine / pseudoephedrine", "doxylamine / pyridoxine", "doxylamine / vitamin b6", "doxylamine succinate", "dr caldwell laxative", "dr. bob arnot's pain patch", "dr. cocoa daytime cough and cold", "dr. cocoa nighttime cough and cold", "dr. cocoa non-drowsy cough", "dr. j.i.s arthritis plus gel", "dr. numb", "dr. oh balm", "dr. oh patch", "dr. scholl's", "dr. scholl's discs", "dr. scholl's powder spray", "dr. scholl's sport spray", "dr. smith's diaper rash", "dr. smith's rash and skin", "dr. smith's rash-n-all", "dragon's blood extract", "dramamine", "dramamine less drowsy", "dramamine non-drowsy", "draxxin", "dream pure bb", "dried sodium phosphate", "drimia maritima bulb extract", "driminate", "drisdol", "dristan 12-hour nasal spray", "dritail", "dritho-scalp", "drithocreme", "drituss hd", "drixoral", "drixoral non-drowsy", "drometrizole", "dromostanolone", "dromostanolone propionate", "droncit", "dronedarone", "dronedarone hydrochloride", "drontal", "drontal plus", "droperidol", "Droperidol / fentaNYL", "drosera anglica extract", "drosera intermedia extract", "drosera rotundifolia extract", "drospirenone", "drospirenone / estradiol", "drospirenone / ethinyl estradiol", "drospirenone / ethinyl estradiol / levomefolic acid", "drospirenone 0.5 mg / ethinyl estradiol 1 mg 28 oral tablet pack", "drotaverin", "drotaverine hcl", "drotic", "drotrecogin alfa", "drotrecogin alfa (activated), lyophilized", "drotuss cp", "drowz-away", "droxia", "droxicam", "droxidopa", "dry clox", "drynaria fortunei root extract", "dryopteris crassirhizoma whole extract", "dryopteris filix-mas root extract", "drysol", "dryvax", "duac", "duavee", "duboisia leichhardtii leaf extract", "duck allergenic extract", "duck feather extract", "duetact", "duexis", "dulacia inopiflora wood extract", "dulaglutide", "dulcoease pink", "dulcogas", "dulcolax", "dulcolax stool softener", "dulera", "DULoxetine", "DULoxetine hydrochloride", "dulse extract", "dunaliella salina extract", "dungeness crab, cooked preparation", "duo-medihaler", "duocare", "duodote", "duofilm", "duofilm transdermal", "duomax", "duoneb", "duopa", "duoplant", "duovisc 0.35/0.4 viscoelastic kit", "duovisc 0.5/0.55 viscoelastic kit", "dura-dumone", "durabac", "duraclon", "duract cough", "duradrin", "duraflor", "duraganidin nr", "duragesic", "duramectin", "duramist plus", "duramorph", "durapatite", "duraprep", "durasal", "duration", "duratuss", "duravent pe", "durezol", "duricef", "durlaza", "dutasteride", "dutasteride / tamsulosin", "dutoprol", "dyanavel", "dyazide", "dyclonine", "dyclonine / glycerin", "dyclonine / menthol", "dyclonine / phenol", "dyclonine hydrochloride", "dydrogesterone", "dydrogesterone / estradiol", "dylix", "dyloject", "dymista", "dyna-hex", "dynacin", "dynacirc", "dynafreeze", "dynamiclear oro", "dynashield", "dynashield zo", "dynex la", "dyphylline", "Dyphylline / ePHEDrine / guaiFENesin / PHENobarbital", "Dyphylline / guaiFENesin", "dyphylline / potassium iodide", "dyrenium", "dysport", "dysprosium", "dytan-d", "dytan-d chewable", "dytan-hc", "dytuss", "e-400 clear", "e-gems", "e-r-o", "e-z scrub", "e-z scrub povidone iodine", "e-z scrub with ultradex", "e.e.s.", "e.s.p.", "eagle brand medicated oil", "earoxide", "earsol-hc", "easotic", "east indian lemongrass oil", "eastern cottonwood pollen extract", "eastern cottonwood pollen extract / plains cottonwood pollen extract", "eastern sycamore pollen extract", "eastern white pine extract", "eastern white pine pollen extract", "eastern yellowjacket venom protein", "easy pain relief", "eazi-breed cidr", "ebastine", "ecallantide", "ecamsule", "ecballium elaterium fruit extract", "echinacea angustifolia extract", "echinacea angustifolia extract / goldenseal extract", "echinacea angustifolia leaf extract", "echinacea angustifolia root extract", "echinacea angustifolia root extract / echinacea pallida root extract", "echinacea angustifolia root extract / echinacea purpurea root extract", "echinacea angustifolia root extract / golden seal root", "echinacea pallida preparation", "echinacea pallida root extract", "echinacea preparation", "echinacea preparation / golden seal root", "echinacea preparation / golden seal root extract", "echinacea preparation / goldenseal extract", "echinacea preparation / vitamin e / zinc gluconate", "echinacea purpurea aerial parts extract", "echinacea purpurea aerial parts extract / golden seal root", "echinacea purpurea extract", "echinacea purpurea extract / eucalyptus oil / menthol", "echinacea purpurea extract / golden seal extract", "echinacea purpurea extract / goldenseal extract", "echinacea purpurea extract / menthol", "echinacea purpurea extract / pectin", "echinacea purpurea flowering top extract", "echinacea purpurea root extract", "echinacea root extract", "echinacea root extract / echinacea, aerial parts", "echinacea root extract / golden seal root", "echinacea, aerial parts", "echinococcus granulosus preparation", "echium plantagineum seed oil", "echothiophate", "echothiophate iodide", "ecklonia cava extract", "eclipta prostrata leaf extract", "eclipta prostrata whole extract", "eco-clean elite", "eco-gard", "eco-plus", "eco-soft", "ecoderm", "econazole", "econazole / hydrocortisone", "econazole / triamcinolone", "econazole / zinc oxide", "econazole nitrate", "econopred", "econopred plus", "econtra", "ecotrin", "ecoza", "ecpirin", "ectoine", "eculizumab", "eczemin", "ed bron g", "ed cyte f", "ed flex", "ed spaz", "ed-tlc", "edarbi", "edarbyclor", "edecrin", "edecrin sodium", "edetate", "edetate calcium", "edetate calcium disodium", "edetate calcium disodium anhydrous", "edetate dipotassium anhydrous", "edetate disodium, anhydrous", "edetate sodium tetrahydrate", "edetic acid", "edetic acid, disodium salt", "edetol", "edex", "edible oyster preparation", "edluar", "edodekin alfa", "edoxaban", "edoxaban tosylate", "edoxudine", "edrecolomab", "edrophonium", "edrophonium cation", "edrophonium chloride", "edtmp", "edurant", "edx-1000", "edx-102", "edx-502", "eescula", "efalizumab", "efavirenz", "efavirenz / emtricitabine / tenofovir disoproxil", "efavirenz / lamiVUDine / tenofovir disoproxil", "effaclar duo", "effer-k", "effercept", "effexor", "effient", "efinaconazole", "eflornithine", "eflornithine hydrochloride", "efloxate", "efodine", "efudex", "egg (chicken) allergenic extract", "egg extract", "egg shell membrane", "egg shell, cooked", "egg white (chicken) allergenic extract", "egg yolk (chicken) allergenic extract", "egg yolk phosphatides", "egg yolk phosphatides / glycerin / safflower oil / soybean preparation", "egg yolk phosphatides / glycerin / soybean preparation", "egg yolk phospholipids", "egg yolk phospholipids / glycerin / safflower oil / soybean oil", "egg yolk phospholipids / glycerin / soybean oil", "eggplant allergenic extract", "eggplant extract", "egrifta", "ehrlichia canis", "ehrlichia chaffeensis extract", "eichhornia crassipes whole extract", "eicosapentaenoate", "eicosapentaenoic acid", "eicosenoic acid", "eicosyl povidone (2 eicosyl branches-repeat)", "eject delay", "ela-max", "elaeis guineensis fruit butter", "elaeis guineensis fruit extract", "elaeis guineensis whole extract", "elaeis oleifera seed oil", "elaprase", "eldepryl", "elder extract", "elderberry fruit", "elderberry preparation", "eldertonic", "eldoquin forte", "elelyso", "elemi extract", "elenza patch", "elepsia", "elestat", "elestrin", "eletriptan", "eletriptan hydrobromide", "elettaria cardamomum whole extract", "eleuthero preparation", "eleutherococcus nodiflorus root bark extract", "eleutherococcus sessilflorus whole extract", "elidel", "eligard", "eliglustat", "eliglustat tartrate", "elimite", "elinest 28 day pack", "eliphos", "eliquis", "elitek", "elixophyllin", "elixsure cough", "elixsure decongestant", "elixsure fever/pain", "ella", "ellagic acid", "ellagic acid / pomegranate extract", "ellence", "elliotts b", "ellis tonic", "ellura", "elm extract", "elmiron", "elocon", "eloctate", "elon dual defense", "elosulfase alfa", "eloxatin", "eloxiject", "elta dermavase moisture barrier", "elta plus tar", "elta seal moisture barrier", "eltrombopag", "eltrombopag olamine", "eluxadoline", "elvitegravir", "elymus repens root extract", "elymus repens top extract", "elymus repens whole extract", "emadine", "emagrin", "embeda", "emcin clear", "emcyt", "emedastine", "emedastine difumarate", "emend", "emend injection", "emend tri-fold pack", "emepronium", "emepronium bromide", "emepronium carrageenate", "emericella nidulans allergenic extract", "emetine", "emetine hydrochloride", "emetrol", "emgel", "emla", "emodepside", "emodepside / praziquantel", "emoquette 28 day pack", "empagliflozin", "empagliflozin / linagliptin", "empagliflozin / metFORMIN", "empetrum nigrum fruit juice", "emsam", "emtricitabine", "emtricitabine / rilpivirine / tenofovir disoproxil", "emtricitabine / tenofovir disoproxil", "emtriva", "emu essentials pain relieving cream", "emu oil", "enablex", "enalapril", "enalapril / felodipine", "enalapril / hydrochlorothiazide", "enalapril maleate", "enalaprilat", "enalaprilat anhydrous", "enbrel", "encainide", "encainide hydrochloride", "encare", "encora 30 day tablet and capsule pack", "encora am tablet", "encora capsule", "encora pm tablet", "encore", "end-itch", "end-zit", "endocet", "endodan reformulated may 2009", "endometrin", "endopeptidases", "endrate", "enemeez", "enemeez plus", "enfamil glucose", "enflurane", "enfuvirtide", "engerix-b", "english oak pollen extract", "english plantain pollen extract", "english sole allergenic extract", "english walnut allergenic extract", "english walnut pollen extract", "enilconazole", "enjuvia", "enlighten me!", "enlon", "enlon-plus", "enoxacin", "enoxaparin", "enoxaparin sodium", "enoximone", "enpresse 28 day pack", "enroflox", "enrofloxacin", "enrofloxacin / silver sulfADIAZINE", "enrosite", "enskyce 28 day pack", "enstilar", "ensulizole", "ensulizole / zinc oxide", "entacapone", "entada phaseoloides leaf extract", "entada phaseoloides whole extract", "entamoeba histolytica", "entecavir", "entecavir anhydrous", "entercote", "entereg", "enterobacter aerogenes", "enterobacter cloacae", "enterobius vermicularis preparation", "enterococcus faecalis", "enterococcus faecalis / escherichia coli", "entex lq", "entex pac complete prescribing kit", "entex s", "entex t", "entocort", "entre-s", "entresto", "entsol", "entsufon", "entsufon sodium", "entuss-d liquid", "entyvio", "enuclene", "enulose", "envarsus", "enzacamene", "enzalutamide", "enzymes,digestive (plant)", "eosine yellowish", "epaned", "epanova", "eperua falcata bark extract", "ephed 60", "ephed plus cold flu and sinus", "ephedra distachya flowering twig extract", "ephedra sinica stem extract", "ePHEDrine", "ePHEDrine / Ethylmorphine", "ePHEDrine / guaiacolsulfonic acid", "ePHEDrine / guaiFENesin", "ePHEDrine / guaiFENesin / Noscapine", "ePHEDrine / guaiFENesin / PHENobarbital / Theophylline", "ePHEDrine / guaiFENesin / Theophylline", "ePHEDrine / hydrOXYzine / Theophylline", "ePHEDrine / PHENobarbital", "ePHEDrine / PHENobarbital / Potassium Iodide / Theophylline", "ePHEDrine / PHENobarbital / Theophylline", "ePHEDrine / pholcodine", "ePHEDrine / Potassium Iodide", "ePHEDrine / Secobarbital", "ePHEDrine / Sodium Iodide", "ePHEDrine / Theophylline", "ePHEDrine / Tolu balsam", "ePHEDrine HYDRATE", "ePHEDrine hydrochloride", "ePHEDrine sulfate", "ePHEDrine TANNATE", "epi vera e", "epi-otic advanced", "epicoccum nigrum extract", "epicriptine", "epidermal growth factor", "epidermophyton floccosum allergenic extract", "epiduo", "epifagus virginiana extract", "epiflur", "epifoam", "epigaea repens extract", "epigallocatechin gallate", "epigallocatechin gallate palmitates", "epigallocatechin gallate stearates", "epiklor", "epilim", "epilobium angustifolium flowering top extract", "epilobium angustifolium leaf extract", "epilobium angustifolium whole extract", "epimedium grandiflorum flowering top extract", "epimedium grandiflorum top extract", "epimedium grandiflorum whole extract", "epimedium sagittatum top extract", "epimide 50", "epinastine", "epinastine hydrochloride", "EPINEPHrine", "EPINEPHrine / Etidocaine", "EPINEPHrine / Fluorouracil", "EPINEPHrine / Guanethidine", "EPINEPHrine / Lidocaine", "EPINEPHrine / Lidocaine / Tetracaine", "EPINEPHrine / Mepivacaine", "EPINEPHrine / Pilocarpine", "EPINEPHrine / Prilocaine", "EPINEPHrine / zinc chloride", "EPINEPHrine bitartrate", "EPINEPHrine hydrochloride", "EPINEPHrine sulfate", "epinephryl borate", "epipen", "epiquin micro", "epirubicin", "epirubicin hydrochloride", "episnap", "epitol", "epivir", "epivir hbv", "eplerenone", "epoch anti-dandruff", "epoch blemish", "epoetin alfa", "epoetin beta", "epogen", "epomediol", "epoprostenol", "epoprostenol sodium", "eprazinone", "eprazinone hcl", "eprinex", "eprinomectin", "eprosartan", "eprosartan / hydrochlorothiazide", "eprosartan mesylate", "eprozinol", "eprozinol hcl", "epsiprantel", "epstein-barr virus", "eptifibatide", "epzicom", "equagesic", "equalactin", "equalize gas relief drops", "equell", "equetro", "equi-block lt formula", "equi-block original", "equi-phar", "equibron g", "equidone", "equimax", "equine diphtheria antitoxin", "equineaid", "equioxx", "equisetum arvense branch extract", "equisetum arvense top extract", "equisetum arvense whole extract", "equisetum hyemale extract", "equistrength", "equisul sdt", "equizone", "equol, (+)", "equol, (+-)-", "equus caballus collagen", "equus caballus leg callous preparation", "equus caballus whole preparation", "eqvalan", "erase it kit", "eraxis", "erbitux", "erbium", "erdosteine", "erechtites hieraciifolius extract", "eremocitrus glauca fruit extract", "ergocalciferol", "ergocalciferol / gentamicin sulfate (usp)", "ergocalciferol / lecithin", "ergocalciferol / vitamin a", "ergocalciferol / zinc oxide", "ergoloid mesylates, usp", "ergoloid mesylates, usp / flunarizine", "ergoloid mesylates, USP / NIFEdipine", "ergoloid mesylates, usp / vitamin b6", "ergomar", "ergonovine", "ergonovine / oxytocin", "ergonovine maleate", "ergot alkaloids", "ergot preparation", "ergotamine", "Ergotamine / Hyoscyamine / PHENobarbital", "Ergotamine / Levorotatory alkaloids of belladonna / PHENobarbital", "ergotamine / propyphenazone", "ergotamine tartrate", "ergothioneine", "eribulin", "eribulin mesylate", "ericerus pela polycosanol", "eriobotrya japonica leaf extract", "eriodictyon californicum flowering top extract", "eriodictyon californicum leaf extract", "erivedge", "erlotinib", "erlotinib hydrochloride", "erodium cicutarium extract", "erodium stephanianum top extract", "errin 28 day pack", "ersofermin", "ertaczo", "ertapenem", "ertapenem sodium", "eruca vesicaria subsp. sativa leaf extract", "erwinaze", "erwinia asparaginase", "ery", "ery-tab", "eryc", "erycette", "erygel", "eryngium maritimum extract", "eryped", "erysimum preparation", "erythorbate", "erythritol", "erythrityl tetranitrate", "erythrocin", "erythrocin stearate", "erythromycin", "Erythromycin / ISOtretinoin", "Erythromycin / sulfiSOXAZOLE", "erythromycin / tretinoin", "erythromycin / zinc acetate", "erythromycin estolate", "erythromycin ethylsuccinate", "erythromycin gluceptate", "erythromycin lactobionate", "erythromycin phosphate", "erythromycin stearate", "erythromycin stinoprate", "erythrosine", "erythrosine sodium", "erythroxylum catuaba bark extract", "esbriet", "escargot shell, cooked", "escherichia coli", "escherichia coli antigen", "eschscholzia californica extract", "eschscholzia californica flowering top extract", "escin", "escin / nylidrin", "escitalopram", "escitalopram oxalate", "esculin", "esgic", "eslicarbazepine", "eslicarbazepine acetate", "esmolol", "esmolol hydrochloride", "esomeprazole", "esomeprazole / naproxen", "esomeprazole magnesium", "esomeprazole magnesium dihydrate", "esomeprazole sodium", "esomeprazole strontium", "esoterica", "estarylla 28 day pack", "estazolam", "estomaquil", "estomax", "estrace", "estraderm", "estradiol", "estradiol / estriol", "estradiol / estriol / levonorgestrel", "estradiol / estriol / norethindrone", "estradiol / estrone", "estradiol / ethinyl estradiol / levonorgestrel", "estradiol / fluprednidene", "estradiol / hexachlorophene", "estradiol / levonorgestrel", "Estradiol / medroxyPROGESTERone", "estradiol / norethindrone", "estradiol / norgestimate", "Estradiol / prednisoLONE", "estradiol / progesterone", "estradiol / testosterone", "estradiol / trenbolone", "estradiol / tyrothricin", "estradiol 3-benzoate", "estradiol acetate", "estradiol cypionate", "estradiol hemihydrate", "estradiol valerate", "estramustine", "estramustine phosphate", "estramustine phosphate sodium", "estrasorb", "estring", "estriol", "estriol / lactobacillus acidophilus", "estriol / thymol / urea", "estriol succinate", "estrogel", "estrogenic substances", "estrogens", "estrogens / testosterone", "estrogens, conjugated (usp)", "Estrogens, Conjugated (USP) / Estrogens, Esterified (USP) / medroxyPROGESTERone", "estrogens, conjugated (usp) / estrone", "estrogens, conjugated (usp) / medrogestone", "Estrogens, Conjugated (USP) / medroxyPROGESTERone", "estrogens, conjugated (usp) / meprobamate", "Estrogens, Conjugated (USP) / methylTESTOSTERone", "estrogens, conjugated (usp) / norgestrel", "Estrogens, Conjugated (USP) / PHENobarbital", "estrogens, esterified (usp)", "Estrogens, Esterified (USP) / methylTESTOSTERone", "estrone", "estrone / progesterone", "estrone / testosterone", "estropipate", "estropipate / medroxyPROGESTERone", "estroplan", "estrostep fe 28 day pack", "estrumate", "eszopiclone", "etanercept", "ethacridine", "ethacridine / lidocaine", "ethacridine lactate", "ethacrynate", "ethacrynate sodium", "ethacrynic acid", "ethambutol", "ethambutol / isoniazid", "ethambutol / isoniazid / rifampin", "ethambutol hydrochloride", "ethamivan", "ethamivan / etofylline / hexobendine", "ethamivan / heptaminol / norfenefrine", "ethamivan / hexobendine", "ethamolin", "ethamsylate", "ethanethiol", "ethanol", "ethanol / glucose", "ethanol / isopropyl alcohol", "ethanol / isopropyl alcohol / povidone-iodine", "ethanol / lidocaine", "ethanol / menthol", "ethanol / povidone-iodine", "ethanol / resorcinol", "ethanol / resorcinol / sulfur", "ethanol / salicylic acid", "ethanol / sulfur / zinc oxide / zinc sulfate", "ethanol / triclosan", "ethanolamine", "ethanolamine / framycetin", "ethanolamine hydrochloride", "ethanolamine oleate", "ethanolamine thenoate", "ethaverine", "ethaverine hydrochloride", "ethchlorvynol", "ethenzamide", "ethinamate", "ethinyl estradiol", "ethinyl estradiol / ethisterone", "ethinyl estradiol / ethynodiol", "ethinyl estradiol / etonogestrel", "ethinyl estradiol / ferrous fumarate / norethindrone", "ethinyl estradiol / fluoxymesterone", "ethinyl estradiol / gestodene", "ethinyl estradiol / levonorgestrel", "ethinyl estradiol / lynestrenol", "Ethinyl Estradiol / methylTESTOSTERone", "ethinyl estradiol / norelgestromin", "ethinyl estradiol / norethindrone", "ethinyl estradiol / norgestimate", "ethinyl estradiol / norgestrel", "ethinyl estradiol / norgestrienone", "ethinyl estradiol 0.02 mg / norethindrone acetate 1 mg oral tablet / ferrous fumarate 75 mg oral tablet 28 day pack", "ethiodized oil", "ethionamide", "ethisterone", "ethoglucid", "ethoheptazine", "ethoheptazine citrate", "ethohexadiol", "ethopabate", "ethopropazine hydrochloride", "ethosuximide", "ethosuximide / quinacrine", "ethotoin", "ethoxazene", "ethoxazene hcl", "ethoxyquin", "ethrane", "ethybenztropine", "ethyl 10-undecenoate", "ethyl 2,2-dimethylhydrocinnamal", "ethyl 2-methylbutyrate", "ethyl acetate", "ethyl acetoacetate", "ethyl acrylate and methyl methacrylate copolymer (2:1; 600000 mw)", "ethyl acrylate and methyl methacrylate copolymer (2:1; 750000 mw)", "ethyl acrylate-methacrylic acid-steareth-20 methacrylate copolymer", "ethyl butyrate", "ethyl cellulose", "ethyl chloride", "ethyl citrate", "ethyl cyanoacrylate", "ethyl cysteine", "ethyl cysteine hydrochloride", "ethyl dihydroxypropyl paba", "ethyl ether", "ethyl ferulate", "ethyl glutamate", "ethyl hexyl salicylate", "ethyl hexyl salicylate / titanium dioxide", "ethyl isovalerate", "ethyl jojobate", "ethyl lactate", "ethyl lauroyl arginate", "ethyl lauroyl arginate hydrochloride", "ethyl levulinate", "ethyl linalool", "ethyl linoleate", "ethyl linolenate", "ethyl loflazepate", "ethyl macadamiate", "ethyl maltol", "ethyl menthane carboxamide", "ethyl methicone (8 mpa.s)", "ethyl methylphenylglycidate", "ethyl nitrate", "ethyl oleate", "ethyl palmate", "ethyl palmitate", "ethyl perfluorobutyl ether", "ethyl perfluoroisobutyl ether", "ethyl pyrrolidone", "ethyl pyruvate", "ethyl salicylate", "ethyl sebacate", "ethyl stearate", "ethyl sulfate", "ethyl trisiloxane", "ethyl valerate", "ethyl vanillin", "ethyl-p-hydroxybenzoate", "ethylbenzene", "ethylbisiminomethylguaiacol manganese chloride", "ethylcellulose (10 mpa.s)", "ethylcellulose (100 mpa s)", "ethylcellulose (20 mpa.s)", "ethylcellulose (4 mpa.s)", "ethylcellulose (45 mpa.s)", "ethylcellulose (7 mpa.s)", "ethylene", "ethylene brassylate", "ethylene dicocamide peg-15 disulfate", "ethylene distearamide", "ethylene glycol", "ethylene oxide", "ethylene-vinyl acetate copolymer (15% vinyl acetate)", "ethylene-vinyl acetate copolymer (19% vinylacetate)", "ethylene-vinyl acetate copolymer (28% vinyl acetate)", "ethylene-vinyl acetate copolymer (40% vinyl acetate)", "ethylene-vinyl acetate copolymer (9% vinyl acetate)", "ethylenediamine", "ethylenediamine dihydriodide", "ethylenediamine disuccinate", "ethylenediamine tetra (methylene phosphonic acid) monohydrate", "ethylenediamine tetraethanol", "ethylenediaminetetraacetate", "ethylestrenol", "ethylhexyl acetate", "ethylhexyl cocoate", "ethylhexyl ethylhexanoate", "ethylhexyl gallate", "ethylhexyl hydroxystearate", "ethylhexyl isononanoate", "ethylhexyl laurate", "ethylhexyl methoxycrylene", "ethylhexyl oleate", "ethylhexyl palmitate", "ethylhexyl stearate", "ethylhexyl triazone", "ethylhexylglycerin", "ethylhexylglyceryl behenate", "ethylmercurithiosalicylic acid", "ethylmorphine", "ethylmorphine / terpin hydrate", "ethylmorphine hcl", "ethylnicotinate", "ethylnicotinate / hexylnicotinate / thurfyl salicylate", "ethylnorepinephrine", "ethylnorepinephrine hydrochloride", "ethylparaben, sodium salt", "ethynodiol", "ethynodiol / mestranol", "ethynodiol / quinestrol", "ethynodiol diacetate", "etidocaine", "etidocaine hydrochloride", "etidronate", "etidronate disodium", "etidronate tetrasodium", "etidronic acid", "etifoxine", "etifoxine hcl", "etilefrine", "etilefrine hydrochloride", "etilevodopa", "etodolac", "etofamide", "etofenamate", "etofenamate / niacin", "etofibrate", "etofylline", "etofylline / theophylline", "etomidate", "etonogestrel", "etopofos", "etoposide", "etoposide phosphate", "etoricoxib", "etrafon", "etravirine", "etretinate", "eucalyptamint", "eucalyptol", "eucalyptol / guaiacol ethylglycolate", "eucalyptol / menthol / methyl salicylate / thymol", "eucalyptol / menthol / sodium fluoride / thymol", "eucalyptol / thymol", "eucalyptus camaldulensis leaf oil", "eucalyptus extract", "eucalyptus extract / menthol", "eucalyptus extract / methyl salicylate", "eucalyptus extract / peppermint oil", "eucalyptus globulus leaf extract", "eucalyptus globulus pollen extract", "eucalyptus globulus whole extract", "eucalyptus gum extract", "eucalyptus gunnii leaf oil", "eucalyptus oil", "eucalyptus oil / menthol", "eucalyptus oil / tea tree oil", "eucalyptus piperita leaf extract", "eucalyptus polybractea leaf oil", "eucalyptus radiata flower top oil", "eucalyptus radiata leaf oil", "eucamint", "eucerin calming itch relief", "eucerin eczema relief", "eucommia ulmoides bark extract", "eucommia ulmoides whole extract", "euflexxa", "eugenia uniflora whole extract", "eugenol", "eugenol / guaiacol", "euonymus alatus whole extract", "euonymus atropurpureus branch bark-root bark extract", "eupatorium cannabinum extract", "eupatorium japonicum whole extract", "eupatorium perfoliatum flowering top extract", "eupatorium perfoliatum preparation", "eupatorium perfoliatum whole extract", "euphorbia amygdaloides extract", "euphorbia hirta extract", "euphorbia hirta flowering top extract", "euphorbia lathyris extract", "euphorbia resinifera resin extract", "euphorbia thymifolia whole extract", "euphrasia officinalis preparation", "euphrasia stricta extract", "eupolyphaga sinensis preparation", "eurax", "european beech pollen extract", "european elderberry extract", "european elderberry juice preparation", "european flounder preparation", "european hazelnut oil", "european honey bee venom protein", "european house dust mite extract", "european house dust mite extract / white oak pollen extract", "european olive pollen extract", "european rabbit hair extract", "european rabbit hair extract / european rabbit skin extract", "european rabbit skin extract", "europium", "europium oxide", "eurotium herbariorum extract", "eutanol g", "euterpe oleracea whole extract", "euthasol", "eutrema japonicum whole extract", "eutrochium purpureum root", "evac-u-gen reformulated jan 2008", "evamist", "evans blue", "evekeo", "evening primrose extract", "evening primrose extract / gamma-linolenate / linoleate", "evening primrose oil", "evening primrose oil / gamma linoleic acid", "evening primrose oil / gamma-linolenate", "evening primrose oil / linoleate", "everclean", "everflex", "everlasting extract", "evernia prunastri extract", "everolimus", "evista", "evitex", "evithrom", "evoclin", "evolocumab", "evotaz", "evoxac", "evzio", "ex-lax chocolated", "ex-lax maximum relief formula", "ex-lax milk of magnesia", "ex-lax regular strength pills", "ex-lax ultra", "exactacain", "exalgo", "exall", "exametazime", "exaprin", "excede", "excedrin", "excedrin back & body", "excedrin mild headache", "excedrin pm", "excedrin pm triple action", "excedrin quick tab", "excedrin sinus", "excedrin sinus headache", "excedrin tension headache", "excel", "excel 3 in 1", "excel pet", "excel roundworm de wormer", "excenel", "execlear", "execlear-c", "execof xp", "exelderm", "exelon", "exemestane", "exenatide", "exetuss", "exetuss hc", "exforge", "exforge hct", "exidine", "exjade", "exo-tuss", "exoderm", "exodus", "exotic-hc", "exparel", "extavia", "extina", "extraneal", "exubera", "exubera combination pack 12", "exubera combination pack 15", "eye stream", "eye-lert", "eyebright preparation", "eyemycin", "eyes alive lubricating", "eylea", "ez-ox", "ez2go osmotic", "ez2go stimu-lax powder", "ez2go stimu-lax tablet", "ez2go zero", "ezetimibe", "ezetimibe / simvastatin", "ezfe", "ezogabine", "fabior", "fabrazyme", "factive", "factor ix", "factor ix / factor vii / factor x / protein c / protein s / prothrombin", "factor ix complex", "factor ix, human", "factor vii", "factor vii, human", "factor viia", "factor viii", "factor viii (b-domain deleted recombinant) fc fusion protein", "factor viii / von willebrand factor", "factor viii, human", "factor x", "factor x, human", "factor xiii", "factor xiii, human", "factrel", "fade shades", "fagopyrum esculentum extract", "fagus sylvatica flower bud extract", "fagus sylvatica flowering top", "fagus sylvatica nut extract", "fallback solo", "fallopia multiflora root extract", "falmina 28 day pack", "false ragweed pollen extract", "famciclovir", "famotidine", "famotidine / ibuprofen", "famvir", "fanapt", "fanapt titration pack", "fanatrex", "fanolesomab", "fareston", "farnesal", "farnesol", "farnesyl acetate", "farxiga", "farydak", "faslodex", "fasprin", "fast freeze", "fast freeze naturally cool", "fast green fcf stain", "fast heartburn relief otc", "faststat", "fatal-plus", "fatty acids, omega-6", "fazaclo", "fd & c red no. 40 aluminum lake", "fd &c yellow #6 aluminum lake", "fd&c blue #1 aluminum lake", "fd&c blue #10 aluminum lake", "fd&c blue #2 ht aluminum lake", "fd&c blue #2 lake", "fd&c red #40 ht aluminum lake", "fd&c red 40 lake", "fd&c red no. 4", "fd&c yellow #5 aluminum lake", "fd&c yellow no. 6", "fe heme polypeptide", "fe heme polypeptide / polysaccharide iron complex", "febantel", "febantel / praziquantel / pyrantel", "febarbamate", "febuprol", "febuxostat", "fedrilate", "feen-a-mint reformulated jan 2008", "feiba", "felbamate", "felbatol", "felbinac", "feldene", "felimazole", "felineaid", "felis catus milk prepration", "felodipine", "felodipine / metoprolol", "felodipine / ramipril", "felypressin", "felypressin / prilocaine", "fem ph", "femara", "femcon fe 28 day pack", "femhrt", "femhrt (ethinyl estradiol 25 mcg / norethindrone acetate 0.5 mg oral tablet) 28 day pack", "femhrt (ethinyl estradiol 5 mcg / norethindrone acetate 1 mg oral tablet) 28 day pack", "femmesil", "femring", "fenbendazole", "fenbufen", "fenbutrazate", "fenbutrazate / phenmetrazine", "fendiline", "fendiline hcl", "fenethylline", "fenethylline hcl", "fenfluramine", "fenfluramine hydrochloride", "fenipentol", "fennel extract", "fennel oil", "fennel seed preparation", "fennel seed preparation / senna leaves / sennosides, usp", "fenofibrate", "fenofibrate / pantethine", "fenofibrate / simvastatin", "fenofibrate micronized", "fenofibric acid", "fenoglide", "fenoldopam", "fenoldopam mesylate", "fenoprofen", "fenoprofen calcium", "fenoprop triethanolamine", "fenoterol", "fenoterol / ipratropium", "fenoterol hydrobromide", "fenoverine", "fenoxazoline", "fenoxazoline hydrochloride", "fenozolone", "fenproporex", "fenproporex hydrochloride", "fenspiride", "fenspiride hydrochloride", "fentaNYL", "fentaNYL / ropivacaine", "fentaNYL / ropivacaine / Sodium Chloride", "fentaNYL / Sodium Chloride", "fentaNYL Citrate", "fentaNYL HYDROCHLORIDE", "fenticonazole", "fenticonazole nitrate", "fentora", "fenugreek leaf extract", "fenugreek seed meal", "fenugreek seed preparation", "fenugreek seed preparation / legume preparation", "feosol", "feosol caplet", "feprazone", "fer-in-sol", "feraheme", "fergon", "feridex", "ferocon", "ferotrinsic", "ferralet 90", "ferraplus", "ferretts ips", "ferrex 150 forte", "ferrex 150 forte plus", "ferrex 150 plus", "ferrex-150", "ferric acetate, basic", "ferric ammonium citrate", "ferric ammonium citrate / folic acid", "ferric ammonium citrate / folic acid / vitamin b 12", "ferric ammonium ferrocyanide", "ferric cacodylate", "ferric carboxymaltose", "ferric cation", "ferric chloride", "ferric chloride hexahydrate", "ferric citrate", "ferric hexacyanoferrate", "ferric hydroxide", "ferric nitrate", "ferric oxide", "ferric oxide yellow", "ferric oxide, saccharated", "ferric phosphate", "ferric picrate preparation", "ferric pyrophosphate", "ferric pyrophosphate citrate", "ferric subsulfate solution", "ferric sulfate", "ferrimin 150", "ferriprox", "ferrlecit", "ferro-sequels", "ferrocite", "ferrogels", "ferrosoferric phosphate", "ferrous arsenate", "ferrous ascorbate", "ferrous aspartate", "ferrous asparto glycinate", "ferrous bisglycinate", "ferrous bisglycinate / polysaccharide iron complex", "ferrous bisglycinate hydrochloride", "ferrous bromide", "ferrous cacodylate", "ferrous carbonate", "ferrous cation", "ferrous chloride", "ferrous cysteine glycinate", "ferrous disulfide", "ferrous fumarate", "ferrous fumarate / ferrous gluconate", "ferrous fumarate / folic acid", "ferrous fumarate / folic acid / polysaccharide iron complex", "ferrous fumarate / polysaccharide iron complex", "ferrous fumarate / thiamine", "ferrous fumarate / vitamin b 12", "ferrous gluconate", "ferrous glycine sulfate", "ferrous glycine sulfate / folic acid", "ferrous iodide", "ferrous lactate", "ferrous oxalate", "ferrous oxide", "ferrous phosphate", "ferrous phosphate / potassium chloride", "ferrous picrate", "ferrous succinate", "ferrous succinate / succinic acid", "ferrous sulfate", "ferrous sulfate / folic acid", "ferrous sulfate / phenolphthalein", "ferrous sulfate,dried", "fertagyl", "ferula assa-foetida root extract", "ferula assa-foetida whole extract", "ferula communis subsp. glauca extract", "ferula sumbul root extract", "ferulate", "ferulic acid", "ferumoxides", "ferumoxsil", "ferumoxytol", "fesoterodine", "fesoterodine fumarate", "festuca pratensis top extract", "fetzima", "fetzima titration pack", "feverall", "feverfew extract", "fexmid", "fexofenadine", "fexofenadine / pseudoephedrine", "fexofenadine hydrochloride", "fiber", "fiber choice", "fiber choice weight management", "fiber tab", "fiberall", "fibercon", "fibricor", "fibrinogen", "fibrinogen / thrombin", "fibrinogen concentrate (human)", "fibrinogen concentrate (human) / thrombin", "fibrinogen,i-125", "fibrinolysis inhibitor", "fibroblast growth factor-1", "ficus carica flower extract", "ficus carica leaf extract", "ficus carica whole extract", "ficus religiosa leafy twig extract", "fidaxomicin", "fig allergenic extract", "filgrastim", "filgrastim-sndz", "filipendula ulmaria flower extract", "filipendula ulmaria leaf extract", "filipendula ulmaria root extract", "filipendula ulmaria whole extract", "finacea", "finafloxacin", "finafta baby", "finafta multi oral", "finasteride", "fingolimod", "fingolimod hydrochloride", "fiore", "fioricet", "fioricet with codeine", "fiorinal", "fiorinal with codeine", "fipronil", "firazyr", "firefly anticavity", "firefly squirt 'n' brush", "firmagon", "firocoxib", "fish oils", "fisherman's friend", "fivehorn smotherweed pollen extract", "flagyl", "flanax antacid", "flanax aspirin", "flanax lozenges", "flanax naproxen", "flanders", "flarex", "flathead sole preparation", "flavin mononucleotide", "flavin mononucleotide sodium salt", "flavin-adenine dinucleotide", "flavodic acid", "flavodic acid, disodium salt", "flavone", "flavoxATE", "flavoxATE / propyphenazone", "flavoxATE Hydrochloride", "flaxseed allergenic extract", "flaxseed extract", "flebogamma", "flecainide", "flecainide acetate", "flector", "fleet bisacodyl", "fleet enema", "fleet glycerin suppositories adult", "fleet mineral oil", "fleet phospho-soda", "fleet sof-lax", "fleroxacin", "fletchers castoria", "flex24", "flex24 performance", "flexall", "flexall ultra plus", "flexbumin", "flexeril", "flexgen", "flibanserin", "flickingeria fimbriata stem extract", "flo-pred", "floctafenine", "flolan", "flomax", "flonase", "flopropione", "florajen", "florajen bifidoblend", "florajen3", "florastor", "florbetaben f-18", "florbetapir", "florbetapir f-18", "florfenicol", "florfenicol / flunixin", "florfenicol / mometasone / terbinafine", "florfenicol / sulfacetamide", "florical", "floril tears", "florinef", "florone", "flosequinan", "flounder allergenic extract", "flovent", "flowtuss", "floxacillin", "floxacillin magnesium", "floxacillin sodium", "floxacillin sodium monohydrate", "floxin", "floxuridine", "fluarix 2012-2013 formula", "fluarix 2013-2014 formula", "fluarix 2014-2015 formula", "fluarix quad 2014-2015 formula", "fluarix quadrivalent 2015-2016", "flubendazole", "flublok 2012-2013 formula", "flublok 2013-2014 formula", "flublok 2014-2015 formula", "flublok 2015-2016", "flucaine", "flucelvax 2013-2014 formula", "flucelvax 2014-2015 formula", "flucelvax 2015-2016", "fluclorolone", "fluclorolone acetonide", "flucloronide", "fluconazole", "flucytosine", "fludara", "fludarabine", "fludarabine phosphate", "fludrocortisone", "fludrocortisone / hexamidine / selenium sulfide", "flufenamate", "flufenamic acid", "flufenamic acid / glycol salicylate / heparinoids", "flufenamic acid / heparinoids / salicylic acid", "flufenamic acid / niacin / sulfated mucopolysaccharides", "fluindione", "fluke, unspecified preparation", "flulaval 2009-2010 formula", "flulaval 2011-2012 formula", "flulaval 2013-2014 formula", "flulaval 2014-2015 formula", "flulaval quad 2013-2014 formula", "flulaval quad 2014-2015 formula", "flulaval quadrivalent 2015-2016", "flumadine", "flumazenil", "flumeglumine", "flumequine", "flumethasone", "flumethasone / neomycin", "flumethasone / salicylic acid", "flumethasone / triiodothyronine", "flumethasone pivalate", "flumethiazide", "flumethiazide / potassium chloride / rauwolfia preparation", "flumist 2011-2012 formula", "flumist 2014-2015 formula", "flumist 2015-2016", "flunarizine", "flunarizine / nicergoline", "flunarizine hydrochloride", "flunazine", "flunisolide", "flunisolide anhydrous (obsolete)", "flunisolide hemihydrate", "flunitrazepam", "flunixamine", "flunixin", "flunixin / oxytetracycline", "flunixin meglumine", "fluocinolone", "fluocinolone / hydroquinone / tretinoin", "fluocinolone / lidocaine", "fluocinolone / neomycin", "fluocinolone / zinc pyrithione", "fluocinolone acetonide", "fluocinonide", "fluocinonide / neomycin", "fluocortin butyl ester", "fluocortin butyl ester / isoconazole", "fluocortolone", "fluocortolone / lidocaine", "fluocortolone / salicylic acid", "fluocortolone caproate", "fluocortolone caproate / fluocortolone pivalate", "fluocortolone pivalate", "fluor a day", "fluor a day chewable", "fluor-op", "fluorabon", "fluoracaine", "fluorapatite", "fluorescein", "fluorescein / proparacaine", "fluorescein dilaurate", "fluorescein sodium", "fluorexon disodium", "fluorexon stain", "fluoride ion", "fluoride ion f-18", "fluoridex", "fluoridex daily defense sensitivity", "fluoridex daily renewal", "fluorine", "fluorinse", "fluorishield", "fluoritab", "fluorocortisol acetate", "fluorodeoxyglucose f18", "fluorodine ultra sensitive", "fluorometholone", "fluorometholone / gentamicin sulfate (usp)", "fluorometholone / neomycin", "fluorometholone / sulfacetamide", "fluorometholone / tetrahydrozoline", "fluorometholone / tobramycin", "fluorometholone acetate", "fluoroplex", "fluorosilicate", "fluorouracil", "fluorouracil / salicylic acid", "FLUoxetine", "FLUoxetine / OLANZapine", "FLUoxetine Hydrochloride", "fluoxymesterone", "fluoxymesterone / ginsenoside / vitamin e", "flupenthixol", "flupenthixol decanoate", "flupentixol hydrochloride", "fluPHENAZine", "fluPHENAZine / Nortriptyline", "fluPHENAZine decanoate", "fluPHENAZine enanthate", "fluPHENAZine Hydrochloride", "flupirtine", "flupirtine gluconate", "flupirtine maleate", "fluprednidene", "fluprednidene / gentamicin sulfate (usp)", "fluprednidene / miconazole", "fluprednidene / salicylic acid", "fluprednidene acetate", "fluprednisolone", "flura-drops", "flura-loz", "flura-tab", "fluralaner", "flurandrenolide", "flurandrenolide / neomycin", "flurazepam", "flurazepam hydrochloride", "flurbiprofen", "flurbiprofen sodium", "fluriso", "fluspirilene", "flutamide", "flutemetamol", "flutemetamol f-18", "fluticasone", "fluticasone / hydroquinone / tretinoin", "fluticasone / salmeterol", "fluticasone / vilanterol", "fluticasone furoate", "fluticasone propionate", "fluticosone furoate", "flutrimazole", "flutuss hc", "flutuss xp", "fluvastatin", "fluvastatin sodium", "fluvirin 2009-2010 formula", "fluvirin 2010-2011 formula", "fluvirin 2011-2012 formula", "fluvirin 2012-2013 formula", "fluvirin 2013-2014 formula", "fluvirin 2014-2015 formula", "fluvirin 2015-2016", "fluvoxaMINE", "fluvoxaMINE Maleate", "fluxid", "fluzone 2009-2010 formula", "fluzone 2011-2012 formula", "fluzone 2013-2014 formula", "fluzone 2014-2015 formula", "fluzone 2015-2016", "fluzone high-dose 2013-2014 formula", "fluzone high-dose 2014-2015 formula", "fluzone intradermal 2013-2014 formula", "fluzone intradermal 2014-2015 formula", "fluzone quadrivalent 2013-2014 formula", "fluzone quadrivalent 2014-2015 formula", "fluzone quadrivalent 2015-2016", "fml", "fml forte liquifilm", "fml-s", "foam safe", "focalin", "foeniculum vulgare leaf extract", "foeniculum vulgare whole extract", "foille", "folacin", "folate", "folbalin", "folbecal", "folbee", "folbic", "folcaps", "folgard", "folgard os", "folic acid", "folic acid / heme iron polypeptide / polysaccharide iron complex / vitamin b 12", "folic acid / inositol", "folic acid / intrinsic factor / vitamin b 12", "folic acid / iron carbonyl", "folic acid / iron polysaccharide / vitamin b 12", "folic acid / lactobacillus casei", "folic acid / liver extract", "folic acid / liver extract / vitamin b 12", "folic acid / niacinamide / zinc oxide", "folic acid / omega-3 acid ethyl esters (usp) / phytosterols / pyridoxine / vitamin b 12", "folic acid / polysaccharide iron complex", "folic acid / polysaccharide iron complex / vitamin b 12", "folic acid / potassium gluconate", "folic acid / pyridoxine / vitamin b 12", "folic acid / succinic acid", "folic acid / teferrol / vitamin b 12", "folic acid / vitamin b 12", "folic acid / vitamin b 12 / vitamin b6", "folinatal plus b", "folitab", "folivane-f", "follicle stimulating hormone", "follicle stimulating hormone / luteinizing hormone", "follicle stimulating hormone, porcine", "follistim", "follitropin alfa", "follitropin beta", "folotyn", "folplex", "foltabs", "foltrate", "foltx", "fomepizole", "fominoben", "fomitopsis pinicola fruiting body extract", "fomivirsen", "fomivirsen sodium", "fomocain", "fonazine", "fonazine mesylate", "fondaparinux", "fondaparinux sodium", "foot rehab pain & moisture", "footlogix moisturizing diabetic formula", "footshield plus", "foradil", "forane", "foreskin fibroblast, neonatal", "foreskin keratinocyte, neonatal", "forfivo", "forma-ray", "formadon", "formaldehyde", "formaldehyde / glutaral", "formaldehyde / glutaral / glyoxal", "formaldehyde / isopropyl alcohol", "formaldehyde / lidocaine", "formaldehyde / malachite green", "formaldehyde / methanol", "formaldehyde / salicylic acid", "formaldehyde / sodium fluoride", "formaldehyde sulfoxylate", "formaldehyde-sodium naphthalenesulfonate copolymer (3000 mw)", "formaldehydesulfoxylate, monosodium salt", "formalin", "formate", "formestane", "formic acid", "formoterol", "formoterol / mometasone", "formoterol fumarate", "formoterol fumarate dihydrate", "formula 21", "formulation r", "formulation r ointment", "forsythia suspensa fruit extract", "forsythia suspensa whole extract", "fortamet", "fortaz", "forteo", "fortesta", "fortical", "fortinia solution", "fortolin", "fosamax", "fosamax plus d", "fosamprenavir", "fosamprenavir calcium", "fosaprepitant dimeglumine", "foscarnet", "foscarnet sodium", "foscavir", "foscolate", "foscolic acid", "fosfestrol", "fosfestrol tetrasodium", "fosfomycin", "fosfomycin trometamol salt", "fosinopril", "fosinopril / hydrochlorothiazide", "fosinopril sodium", "fosinoprilat", "fosphenytoin", "fosphenytoin sodium", "fospropofol", "fospropofol disodium", "fosrenol", "fostex", "fostex bar", "fosveset", "four-way", "fragaria vesca whole extract", "fragmin", "framycetin", "framycetin / gramicidin", "framycetin / hydrocortisone", "framycetin / naphazoline", "francisella tularensis", "frangula alnus bark extract", "frangula californica bark extract", "frangula preparation", "frangula preparation / karaya gum", "frangula purshiana bark extract", "frankincense extract", "frankincense oil", "frasera caroliniensis root extract", "fraxinus americana bark extract", "fraxinus excelsior bark extract", "fraxinus excelsior leaf extract", "freamine 6.9", "freamine iii 10", "freamine iii 8.5", "freesia alba flower extract", "freez eez", "freeze it", "freezone", "freezone corn remover", "fremont cottonwood pollen extract", "frenadol", "freshkote", "freshmint", "freshmint sensitive", "fritillaria cirrhosa bulb extract", "fritillaria delavayi bulb extract", "fritillaria przewalskii bulb extract", "frova", "frovatriptan", "frovatriptan succinate", "fructooligosaccharide", "fructooligosaccharide / lactobacillus / pectin", "fructooligosaccharide / lactobacillus acidophilus", "fructose", "fructose / glucose / phosphoric acid", "fructose / glucose / sodium citrate", "fruit extracts", "fruit extracts / lutein / lycopene", "fu ling", "fucus serratus extract", "fucus vesiculosus extract", "fulvestrant", "fulvic acid", "fulvicin p/g", "fulyzaq", "fumarate", "fumarate / nickel sulfate / potassium bromide", "fumaria officinalis flowering top extract", "fumaric acid", "fumaryl diketopiperazine", "fumatinic", "fumitory extract", "fungazoil", "fungi-gone", "fungi-guard", "fungi-nail", "fungi-nail toe and foot", "fungicure gel", "fungicure maximum strength", "fungicure solution", "fungifoam", "fungisan", "fungoid", "fungoid-d", "fungus md", "fungusrx", "furadantin", "furazolidone", "furcellaria lumbricalis extract", "furoquid", "furosemide", "furosemide / penbutolol", "furosemide / potassium", "furosemide / potassium chloride", "furosemide / spironolactone", "furosemide / triamterene", "fursultiamin", "fus-sol", "fusafungin", "fusarium compactum extract", "fusarium extract", "fusarium oxysporum vasinfectum extract", "fusidate", "fusidate / hydrocortisone", "fusidate sodium", "fusidic acid", "fusilev", "fuzeon", "fycompa", "fycompa 2/4 2 week sample kit", "fycompa 4/6 2 week sample kit", "g-zyncof", "gabapentin", "gabapentin enacarbil", "gabapentin starter pack {9 (gabapentin 300 mg oral tablet) / 69 (gabapentin 600 mg oral tablet) }", "gabitril", "gablofen", "gadaderm", "gadaderm hydrocortisone", "gadobenate", "gadobenate dimeglumine", "gadobutrol", "gadodiamide", "gadofosveset", "gadofosveset trisodium", "gadolinium", "gadolinium cation (3+)", "gadolinium oxide", "gadopentetate", "gadopentetate dimeglumine", "gadoterate meglumine", "gadoteridol", "gadoversetamide", "gadoxetate", "gadoxetate disodium", "galactoarabinan", "galactose", "galactose monohydrate", "galangal oil", "galantamine", "galantamine hydrobromide", "galanthus nivalis extract", "galanthus nivalis seed extract", "galbanum oil", "galium aparine extract", "galium boreale leaf extract", "galium odoratum extract", "gallamine", "gallamine triethiodide", "gallic acid", "gallic acid monohydrate", "gallium", "gallium 67 citrate", "gallium cation", "gallium cation ga-67", "gallium chloride,ga-67", "gallium nitrate", "gallium-67", "gallopamil", "gallopamil hydrochloride", "galphimia glauca flowering top extract", "galphimia glauca whole extract", "galsulfase", "galzin", "gamastan", "gambels oak pollen extract", "gambir leaf extract", "gamboge", "gamithromycin", "gamma linoleic acid", "gamma linolenic oil", "gamma-aminobutyrate", "gamma-aminobutyrate / melatonin / valerian root extract", "gamma-aminobutyrate / vitamin b6", "gamma-aminobutyric acid", "gamma-cyclodextrin", "gamma-interferon", "gamma-linolenate", "gamma-linolenate / linoleate", "gamma-linolenate / vitamin e", "gamma-linolenic acid", "gamma-nonalactone", "gamma-oryzanol", "gamma-undecalactone", "gammagard", "gammaked", "gammaplex", "gammar", "gamunex", "ganciclovir", "ganciclovir sodium", "ganirelix", "ganirelix acetate", "ganite", "ganoderma lucidum stem extract", "garamycin", "garasol", "garcinia cambogia fruit extract", "garcinia cambogia preparation", "garcinia indica fruit extract", "garcinia indica seed butter extract", "garcinia mangostana fruit extract", "garcinia mangostana fruit rind extract", "gardasil", "gardasil 9", "garden cress sprout extract", "garden lady's mantle extract", "garden snail mucin preparation", "gardenia jasminoides fruit extract", "gardenia jasminoides whole extract", "gardenia resinifera resin", "gardenia taitensis flower extract", "gardenian blue", "garlic allergenic extract", "garlic powder", "garlic preparation", "garlic preparation / ginkgo biloba extract / ginseng preparation", "garlic preparation / gugulu extract / niacin", "garlic preparation / hawthorn preparation", "garlic preparation / inositol / policosanol", "garlic preparation / lecithin", "garlic preparation / parsley extract", "garlic preparation / soy lecithin", "garlique", "garrys oak pollen extract", "gas aide", "gas-x", "gas-x extra strength", "gas-x prevention", "gas-x with maalox", "gastric mucin,pork", "gastric mucins", "gastrocrom", "gastromark", "gatifloxacin", "gatifloxacin anhydrous", "gattex", "gaultheria procumbens leaf extract", "gaultheria procumbens top extract", "gavilax", "gaviltye-g", "gavilyte-c", "gavilyte-h", "gavilyte-h and bisacodyl bowel prep (peg-3350 210 gm / sodium chloride 5.6 gm / sodium bicarbonate 2.86 gm / potassium chloride 0.74 gm) powder for 2 l oral solution / 1 x bisacodyl delayed release oral tablet", "gavilyte-n", "gaviscon", "gaviscon chewable", "gazyva", "gebauer's ethyl chloride", "gefitinib", "gel-kam", "gel-one", "gelatin", "gelatin hydrolysate (porcine skin, mw 3000)", "gelato anesthetic", "gelato perio rinse", "gelato sodium fluoride", "gelato stannous fluoride", "gelidiella acerosa extract", "gelidium cartilagineum extract", "gellan gum (low acyl)", "gelnique", "gelsemium sempervirens preparation", "gelsemium sempervirens root extract", "gelsemium sempervirens whole extract", "gelusil", "gemcitabine", "gemcitabine hydrochloride", "gemeprost", "gemfibrozil", "gemifloxacin", "gemifloxacin mesylate", "gemtuzumab ozogamicin", "gemzar", "genac brand of pseudoephedrine/triprolidine", "genapap", "genaphed", "genecof hc", "genecof xp", "generess fe 28 day pack", "generlac", "genexa", "gengraf", "genipa americana fruit extract", "genista tinctoria extract", "genistein", "genone", "genoptic", "genorthix pain relieving roll on", "genotropin", "genpril", "gent-l-tip", "gent-l-tip mineral oil", "gentacalm", "gentak", "gentamed", "gentamicin", "gentamicin sulfate (usp)", "gentamicin sulfate (usp) / hydrocortisone", "gentamicin sulfate (usp) / hydrocortisone / ketoconazole", "gentamicin sulfate (usp) / hydrocortisone / miconazole", "Gentamicin Sulfate (USP) / prednisoLONE", "gentaotic", "gentasol", "gentaspray", "gentaved", "gentaved 100", "genteal", "genteal gel drops", "genteal pm", "gentian preparation", "gentian violet", "gentian violet cation", "gentian, stemless, whole extract", "gentiana lutea root extract", "gentiana macrophylla root extract", "gentiana manshurica whole extract", "gentiana urnula flower extract", "gentianella amarella flower extract", "gentianella quinquefolia extract", "gentisate", "gentisic acid", "gentisic acid ethanolamide", "gentlelax", "gentran 40", "gentran 70", "genvoya", "geocillin", "geodon", "geotrichum candidum allergenic extract", "gepefrine", "gepefrine tartrate", "geraniol", "geranium extract", "geranium maculatum root extract", "geranium maculatum root oil", "geranium maculatum whole extract", "geranium oil, algerian type", "geranium robertianum extract", "geranium wilfordii top extract", "geranylgeranylacetone", "geri-hydrolac", "german cockroach allergenic extract", "german wasp venom protein", "germanium", "germanium cation (4+)", "germanium citrate lactate", "germanium dioxide", "germanium sesquioxide", "gestodene", "gestonorone caproate", "gestrinone", "gestronol", "geum urbanum root extract", "giant puffball extract", "giant ragweed pollen extract", "giant ragweed pollen extract / short ragweed pollen extract", "giant ragweed pollen extract / western ragweed pollen extract", "giant wild rye pollen extract", "gianvi 28-day pack", "giardia lamblia", "giazo", "gila monster venom", "gildagia 28 day pack", "gildess 1.5/30 21 day pack", "gildess 1/20 21 day pack", "gildess 24 fe 28 day pack", "gildess fe 1.5/30 28 day pack", "gildess fe 1/20 28 day pack", "gilenya", "gilotrif", "gilphex", "giltuss ped-c", "ginger allergenic extract", "ginger extract", "ginger extract / pyridoxine", "ginger root", "gingera", "gingi med", "ginkgo biloba extract", "ginkgo biloba extract / ginkgo biloba leaf extract", "ginkgo biloba extract / ginseng preparation / gotu kola extract / lecithin", "ginkgo biloba extract / glutamine", "ginkgo biloba extract / heptaminol / troxerutin", "ginkgo biloba extract / korean ginseng root extract", "ginkgo biloba extract / vincamine", "ginkgo biloba leaf extract", "ginkgo biloba leaf extract / vincamine", "ginkgo biloba seed extract", "ginko biloba leaf oil", "ginsana", "ginseng preparation", "ginseng preparation / guarana preparation", "ginseng preparation / royal jelly", "ginseng preparation / royal jelly / vitamin b 12", "ginseng preparation / saw palmetto extract", "ginseng preparation / st. john's wort extract", "ginseng preparation / vitamin b 12", "ginseng root", "ginseng root / siberian ginseng root", "ginsenoside", "gitalin", "glabridin", "gladase", "glassia", "glatiramer", "glatiramer acetate", "glatopa", "glaucine", "glechoma hederacea extract", "glechoma hederacea flowering top extract", "glechoma longituba top extract", "glechoma longituba whole extract", "gleditsia sinensis fruit extract", "gleditsia sinensis whole extract", "gleevec", "glehnia littoralis root extract", "gleostine", "gliadel", "glibornuride", "gliclazide", "glicofosfopeptical", "glimepiride", "glimepiride / pioglitazone", "glimepiride / rosiglitazone", "gliocladium allergenic extract", "gliotoxin", "glipiZIDE", "glipiZIDE / metFORMIN", "gliquidone", "glister", "glucagen", "glucagon", "glucagon (rdna)", "glucagon hydrochloride", "glucametacin", "glucamine", "glucarpidase", "gluceptate", "gluceptate sodium", "glucomannan", "gluconate", "gluconolactone", "gluconolactone / magnesium carbonate", "glucophage", "glucosamine", "glucosamine / hyaluronate / methylsulfonylmethane", "glucosamine / methylsulfonylmethane", "glucosamine / potassium", "glucosamine / s-adenosylmethionine", "glucosamine / shark cartilage extract", "glucosamine hydrochloride", "glucosamine hydrochloride / glucosamine sulfate", "glucosamine sulfate", "glucose", "glucose / heparin", "glucose / lactate / magnesium chloride / potassium chloride / potassium phosphate / sodium chloride", "glucose / lactate / magnesium chloride / potassium chloride / potassium phosphate / sodium phosphate, monobasic", "glucose / lactate / potassium chloride / potassium phosphate / sodium chloride", "glucose / lidocaine", "glucose / magnesium acetate / potassium acetate / sodium chloride", "glucose / magnesium chloride / potassium chloride / potassium phosphate / sodium acetate / sodium chloride / sodium gluconate / sodium phosphate, dibasic", "glucose / magnesium chloride / potassium chloride / sodium acetate / sodium chloride", "glucose / magnesium chloride / potassium chloride / sodium acetate / sodium chloride / sodium gluconate", "glucose / milrinone", "glucose / potassium chloride", "glucose / potassium chloride / potassium lactate / sodium chloride / sodium phosphate, monobasic", "glucose / potassium chloride / sodium chloride", "glucose / sodium chloride", "glucose oxidase", "glucose-6-phosphate", "glucosyl hesperidin", "glucosyl steviol", "glucotrol", "glucovance", "glucuronate", "glucuronic acid", "glucuronolactone", "glumetza", "glutamate", "glutamate / magnesium citrate", "glutamate / vitamin b6", "glutamate / zinc chloride", "glutamic acid", "glutamic acid hydrochloride", "glutamic-500", "glutamine", "glutamine / tyrosine", "glutaral", "glutathione", "glutathione disulfide", "glutethimide", "glutose", "gly-oxide", "glyBURIDE", "glyBURIDE / metFORMIN", "glyBURIDE / Phenformin", "glyBURIDE, MICRONIZED", "glycate", "glyceran polyricinoleic acid ester", "glycereth-17 cocoate", "glycereth-17 stearate", "glycereth-18", "glycereth-18 ethylhexanoate", "glycereth-2 cocoate", "glycereth-20", "glycereth-26", "glycereth-5 lactate", "glycereth-6", "glycereth-7", "glycereth-7 triacetate", "glycereth-7 trimethyl ether", "glycerin", "glycerin / hypromellose", "glycerin / hypromellose / naphazoline", "glycerin / hypromellose / polyethylene glycol 400", "glycerin / hypromellose / polyethylene glycol 400 / tetrahydrozoline", "glycerin / hypromellose / polyethylene glycol 400 / tetrahydrozoline / zinc sulfate", "glycerin / hypromellose / propylene glycol", "glycerin / kaolin / sodium fluoride", "glycerin / lactate / petrolatum", "glycerin / lidocaine", "glycerin / lysine", "glycerin / naphazoline", "glycerin / naphazoline / zinc sulfate", "glycerin / panthenol / vitamin e", "glycerin / paraffin", "glycerin / petrolatum", "glycerin / petrolatum / phenylephrine / pramoxine", "glycerin / petrolatum / phenylephrine / shark liver oil", "glycerin / phenol", "glycerin / polysorbate 80", "glycerin / pramoxine", "glycerin / propylene glycol", "glycerin / salicylic acid", "glycerin / sodium chloride", "glycerin / thymol", "glycerol 1,2-didocosanoate", "glycerol formal", "glycerol phenylbutyrate", "glyceryl 1,2-dioleate", "glyceryl 1,3-dioleate", "glyceryl 1-adipate", "glyceryl 1-diacetyltartarate 2,3-stearate", "glyceryl 1-stearate", "glyceryl 1-undecylenate", "glyceryl abietate", "glyceryl arachidonate", "glyceryl behenate", "glyceryl behenate-eicosadioate", "glyceryl caprate", "glyceryl caprylate", "glyceryl caprylate-caprate", "glyceryl citrate", "glyceryl cocoate", "glyceryl dilaurate", "glyceryl distearate", "glyceryl isostearate", "glyceryl laurate", "glyceryl linoleate", "glyceryl linolenate", "glyceryl monobehenate", "glyceryl monolaurate", "glyceryl monolaurate / olive leaf extract", "glyceryl monostearate", "glyceryl monoundecylenate", "glyceryl myristate", "glyceryl palmitate", "glyceryl palmitostearate", "glyceryl phosphate", "glyceryl ricinoleate", "glyceryl stearate", "glyceryl stearate citrate", "glyceryl stearate se", "glyceryl tribehenate- isostearate- eicosandioate", "glycerylphosphorylcholine", "glycine", "glycine / licorice", "glycine / magnesium chloride", "glycine / sodium chloride", "glycine hydrochloride", "glycine max whole extract", "glycine zinc chelate", "glycocholic acid", "glycofurol", "glycogen", "glycol cetearate", "glycol dimethacrylate", "glycol distearate", "glycol oleate", "glycol palmitate", "glycol salicylate", "glycol salicylate / histamine / methylnicotinate", "glycol salicylate / menthol", "glycol salicylate / niacin", "glycol salicylate / niacin / nonivamide", "glycol salicylate / nonivamide / salicylic acid", "glycol stearate", "glycolate", "glycolate / hydroquinone", "glycolate / lactate", "glycolate / pyruvate", "glycolax", "glycolic acid", "glycolide", "glycophos", "glycoprotein hormones, alpha subunit", "glycopyrrolate", "glycopyrrolate / indacaterol", "glycopyrrolate / neostigmine", "Glycopyrrolate / PHENobarbital", "glycopyrronium", "glycylglycine", "glycyrrhetinic acid", "glycyrrhiza echinata root extract", "glycyrrhiza glabra extract", "glycyrrhiza glabra leaf extract", "glycyrrhiza glabra whole extract", "glycyrrhiza inflata root extract", "glycyrrhiza uralensis extract", "glycyrrhiza uralensis whole extract", "glycyrrhizate", "glycyrrhizic acid", "glycyrrhizin, ammoniated", "glycyrrhizin, ammoniated pentahydrate", "glycyrrhizinate", "glydo", "glymidine", "glynase", "glyoxal", "glyoxal trimer", "glyoxal trimer, dihydrate", "glyset", "glytone", "glytone acne", "glytone acne 3p", "glytone acne masque", "glytone sr acne", "glyxambi", "gm collin acne kit {1 (0.51 fl oz) (salicylic acid 2 % topical gel [puracne oxygen]) / 1 (1.7 fl oz) (salicylic acid 1 % medicated liquid soap [puracne oxygen cleansing]) } pack", "gm collin puracne", "go-dry", "goat milk allergenic extract", "gold", "gold bond anti-itch intensive relief", "gold bond baby cornstarch plus", "gold bond body powder extra strength", "gold bond body powder original strength", "gold bond concentrated therapy", "gold bond concentrated therapy ointment", "gold bond foot powder maximum strength", "gold bond intensive healing", "gold bond lotion", "gold bond maximum relief", "gold bond medicated maximum strength foot", "gold bond pain relieving foot", "gold bond triple action foot spray", "gold bond ultimate diabetics dry skin relief", "gold bond ultimate eczema relief", "gold cation (3+)", "gold keratinate", "gold monoiodide", "gold monosulfide", "gold sodium thiomalate", "gold sodium thiosulfate", "gold tribromide", "gold trichloride", "gold-bloc", "golden seal extract", "golden seal root", "golden seal root extract", "goldenseal extract", "goldenseal extract / papain", "golimumab", "golytely", "gonabreed", "gonadorelin", "gonadorelin / thyrotropin-releasing hormone", "gonadorelin acetate", "gonadorelin diacetate tetrahydrate", "gonadorelin hydrochloride", "gonadotropin releasing factor analog-diphtheria toxoid conjugate", "gonadotropin releasing hormone, d-arg(6) ethyl amide acetate", "gonak", "gonal f", "goniosoft", "goniovisc", "gonorrheal urethral secretion human", "goody's back & body pain relief", "goody's body pain", "goody's extra strength", "goody's headache relief shot", "goody's migraine relief", "goody's pm", "goose allergenic extract", "goose feather extract", "gordofilm", "gordogesic", "gormel", "gormel 10", "goserelin", "goserelin acetate", "gossypium herbaceum root bark extract", "gossypium herbaceum seed resin", "gossypium herbaceum whole extract", "gotu kola extract", "gotu kola extract / nitrofurantoin", "grain mill dust allergenic extract", "grain moth extract", "gralise", "gralise starter pack", "grama grass pollen extract", "gramicidin", "gramicidin / neomycin / polymyxin b", "granisetron", "granisetron hydrochloride", "granisol", "granix", "granul-derm", "granulex", "granulotion medicated lotion", "grape extract", "grape seed", "grape seed extract", "grape seed oil", "grape seed proanthocyanidins", "grapefruit allergenic extract", "grapefruit extract", "grapefruit juice", "grapefruit oil", "grapefruit peel extract", "grapefruit seed extract", "grapefruit seed oil", "grastek", "gratiola officinalis extract", "gray birch pollen extract", "greasewood pollen extract", "greater celandine", "greater celandine / silymarin", "greater galangal extract", "green ash pollen extract", "green ash pollen extract / white ash pollen extract", "green bell pepper allergenic extract", "green bell pepper extract", "green olive allergenic extract", "green peppercorn extract", "green tea extract", "green tea extract / green tea leaf extract", "green tea extract / theaflavin", "green tea leaf extract", "green tea leaf extract / theaflavin", "green-tussin", "grepafloxacin", "grepafloxacin hydrochloride", "grevillea speciosa flower extract", "griffonia preparation", "griffonia preparation / kava root / melatonin", "grifola frondosa whole extract", "grifulvin v", "grindelia hirsutula flowering top extract", "grindelia hirsutula whole extract", "grindelia squarrosa flowering top extract", "grindelia squarrosa whole extract", "gris-peg", "griseofulvin", "griseofulvin microsize", "griseofulvin, ultramicrocrystalline", "groundsel pollen extract", "grx hemorrhoidal", "guafacine hydrochloride", "guaiac", "guaiacol", "guaiacol / methyl salicylate", "guaiacol ethylglycolate", "guaiacolsulfonate", "guaiacolsulfonate / guaiFENesin", "guaiacolsulfonate / HYDROcodone", "guaiacolsulfonate / HYDROcodone / Pseudoephedrine", "guaiacolsulfonate / morphine", "guaiacolsulfonate / phenylephrine", "guaiacolsulfonate / promethazine", "guaiacolsulfonate / sodium citrate", "guaiacolsulfonate / zipeprol", "guaiacolsulfonic acid", "guaiacolsulfonic acid / HYDROcodone", "guaiacolsulfonic acid / phenylephrine", "guaiacolsulfonic acid / phenylephrine / promethazine", "guaiacum officinale resin extract", "guaiacum sanctum resin", "guaiazulene", "guaiazulene / pantothenic acid", "guaiazulene / pentosan polysulfate", "guaietolin", "guaiFENesin", "guaiFENesin / HYDROcodone", "guaiFENesin / HYDROcodone / phenindamine", "guaiFENesin / HYDROcodone / Pheniramine / Phenylephrine / Phenylpropanolamine", "guaiFENesin / HYDROcodone / Pheniramine / Phenylpropanolamine / Pyrilamine", "guaiFENesin / HYDROcodone / Phenylephrine", "guaiFENesin / HYDROcodone / Phenylpropanolamine / salicylamide", "guaiFENesin / HYDROcodone / Pseudoephedrine", "guaiFENesin / HYDROmorphone", "guaiFENesin / Menthol", "guaiFENesin / Noscapine", "guaiFENesin / oxtriphylline", "guaiFENesin / PHENobarbital / Theophylline", "guaiFENesin / Phenylephrine", "guaiFENesin / Phenylephrine / Phenylpropanolamine", "guaiFENesin / Phenylephrine / potassium citrate", "guaiFENesin / Phenylephrine / Pseudoephedrine", "guaiFENesin / Phenylephrine / Pyrilamine", "guaiFENesin / Phenylpropanolamine", "guaiFENesin / Phenylpropanolamine / Pseudoephedrine", "guaiFENesin / Pseudoephedrine", "guaiFENesin / Pseudoephedrine / Theophylline", "guaiFENesin / Pseudoephedrine / Triprolidine", "guaiFENesin / Pyrilamine", "guaiFENesin / Terbutaline", "guaiFENesin / Terpin hydrate / Tetracycline", "guaiFENesin / Tetracycline", "guaiFENesin / Theophylline", "guanabenz", "guanabenz acetate", "guanadrel", "guanadrel sulfate", "guanethidine", "guanethidine / hydrochlorothiazide", "guanethidine monosulfate", "guanethidine sulfate", "guanFACINE", "guanFACINE Hydrochloride", "guanidine", "guanidine hydrochloride", "guanine", "guanosine", "guanylcystamine", "guanylcystamine hydrobromide", "guar gum", "guar hydroxypropyltrimonium (1.7 substituents per saccharide)", "guar hydroxypropyltrimonium chloride (1.7 substituents per saccharide)", "guarana preparation", "Guarana preparation / levOCARNitine", "guava extract", "guazuma ulmifolia leaf extract", "guggul lipids", "gugulu extract", "guiatuss", "guiatuss dm", "guinea pig hair extract", "guinea pig hair extract / guinea pig skin extract", "guinea pig skin extract", "guizotia abyssinica seed oil", "gum numb gel", "gum talha extract", "gymnema sylvestre leaf extract", "gymnema sylvestre preparation", "gynazole-1", "gyne-lotrimin", "gynecort", "gynodiol", "gynol ii", "gynostemma pentaphyllum top extract", "gypsophila paniculata root extract", "h2q", "habanero extract", "habekacin", "haberlea rhodopensis leaf extract", "habitrol", "hackberry pollen extract", "haddock allergenic extract", "haematococcus pluvialis extract", "haemophilus b conjugate vaccine", "haemophilus capsular oligosaccharide", "haemophilus capsular oligosaccharide / neisseria meningitidis", "haemophilus capsular oligosaccharide / tetanus toxoid vaccine, inactivated", "haemophilus influenzae", "haemophilus influenzae b (ross strain) capsular polysaccharide meningococcal protein conjugate vaccine", "haemophilus influenzae b (ross strain) capsular polysaccharide meningococcal protein conjugate vaccine / hepatitis b surface antigen vaccine", "haemophilus influenzae immunoserum rabbit", "haemophilus influenzae type b", "haemophilus influenzae type b strain 1482, capsular polysaccharide inactivated tetanus toxoid conjugate vaccine", "haemophilus influenzae type b strain 20752, capsular polysaccharide inactivated tetanus toxoid conjugate vaccine", "haemophilus influenzae type b, capsular polysaccharide inactivated tetanus toxoid conjugate vaccine", "haemophilus influenzae type b, capsular polysaccharide inactivated tetanus toxoid conjugate vaccine / meningococcal group c polysaccharide / meningococcal polysaccharide vaccine group y", "hafnium", "halaven", "halazepam", "halazone", "halcinonide", "halcinonide / neomycin", "halcion", "haldol", "halfprin", "halibut liver oil", "halimeda opuntia extract", "halls", "halls breezers", "halls defense", "halobetasol", "halobetasol propionate", "halofantrine", "halofantrine hydrochloride", "halog", "halometasone", "halometasone / triclosan", "halometasone monohydrate", "halonate pac {1 (8 oz) (ammonium lactate 12 % topical lotion) / 1 (50 gm) (halobetasol propionate 0.05 % topical ointment) } pack", "halonate {1 (4 oz) (ammonium lactate 12 % topical foam [pro 12 mousse]) / 1 (50 gm) (halobetasol propionate 0.05 % topical ointment)} pack", "haloperidol", "haloperidol decanoate", "haloperidol lactate", "haloprogin", "halotestin", "halothane", "hamamelis virginiana bark extract", "hamamelis virginiana flower water extract", "hamamelis virginiana leaf extract", "hamamelis virginiana leaf water extract", "hamamelis virginiana root bark-stem bark extract", "hamamelis virginiana top extract", "hamamelis virginiana top water extract", "hamamelis virginiana whole extract", "hamster skin extract", "handclens", "hands first 4 in 1", "hard fat", "hard maple pollen extract", "hard maple pollen extract / red maple pollen extract / silver maple pollen extract", "harrisia pomanensis stem extract", "harvoni", "havrix", "hawthorn berry", "hawthorn berry / hawthorn berry extract", "hawthorn berry extract", "hawthorn flower extract", "hawthorn flowering top extract", "hawthorn leaf with flower extract", "hawthorn preparation", "hazelnut allergenic extract", "hazelnut pollen extract", "hc derma-pax", "hc yellow no. 5", "head & shoulders", "head & shoulders clinical strength", "head & shoulders damage treatment", "head & shoulders dual sachets pack", "healerz for noses", "healon", "healon5", "healthy mama", "healthylax", "heartgard", "heartgard plus", "heartshield plus", "heather 28 day pack", "heather pollen extract", "heavy mineral oil", "hecoria", "hectorite", "hectorol", "hedeoma pulegioides extract", "hedera helix flowering twig extract", "hedera helix leaf extract", "hedera helix top extract", "hedychium coronarium root extract", "hekla lava", "helianthemum canadense extract", "helianthemum nummularium flower extract", "helianthus annuus flowering top extract", "helianthus annuus seed wax extract", "helianthus annuus seedcake extract", "helianthus annuus sprout extract", "helianthus annuus whole extract", "helichrysum arenarium flower extract", "helichrysum italicum flower extract", "helichrysum italicum flower oil", "helichrysum italicum flowering top extract", "helicidine", "helicin", "helicobacter pylori", "helidac therapy pack", "helium", "helium / nitrogen / oxygen", "helium / oxygen", "helixate", "helleborus extract", "helleborus niger root extract", "helminthosporium solani allergenic extract", "heloderma horridum venom", "hemabate", "hemangeol", "hematogen", "hematoporphyrin", "hematoporphyrin / procaine", "hemaway", "hemax", "heme arginate", "heme iron polypeptide", "hemicellulase", "hemicellulase / ox bile extract / pancreatin / simethicone", "hemidesmus indicus root extract", "hemin", "hemmorex", "hemo-fin", "hemoban", "hemocyte", "hemocyte plus", "hemocyte-f", "hemocyte-f elixir", "hemofil", "hemophilus b polysaccharide", "hemorid", "hemorid cream", "hemorrodil", "hemorrodil plus", "hemox a", "hemril", "hep-lock", "hepagam b", "heparin", "heparin / zinc sulfate", "heparin calcium", "heparin sodium", "heparin sodium, bovine", "heparin sodium, porcine", "heparin, bovine", "heparin, porcine", "heparinoids", "heparinoids / hyaluronidase", "heparinoids / laureth-4", "heparinoids / laureth-9", "heparinoids / salicylic acid", "hepatamine 8", "hepatasol 8", "hepatitis a immune globulin,hu", "hepatitis a vaccine (inactivated) strain hm175", "hepatitis a vaccine (inactivated) strain hm175 / hepatitis b surface antigen vaccine", "hepatitis a vaccine (inactivated) strain hm175 / typhoid vi polysaccharide vaccine, s typhi ty2 strain", "hepatitis a vaccine, inactivated", "hepatitis a vaccine, inactivated / hepatitis b surface antigen vaccine", "hepatitis a virus", "hepatitis b immune globulin", "hepatitis b surface antigen vaccine", "hepatitis b virus", "hepatitis b virus subtype adw2 hbsag surface protein antigen", "hepatitis c virus", "hepatitis nosodes", "hepflush", "hepsera", "heptaminol", "heptaminol / inositol / rutin", "heptaminol acefyllinate", "heptaminol adenosine phosphate", "heptaminol hydrochloride", "heptanes", "heptanoic acid", "heptanoic acid / iodine", "heptanoic acid / lactate", "heptyl undecylenate", "heptylundecyl hydroxystearate", "herbalgy", "herceptin", "heroin", "heroin hydrochloride", "herpetrol", "herring allergenic extract", "herring sperm dna", "hespan", "hesperadin", "hesperetin", "hesperetin laurate", "hesperidin", "hesperidin / rutin", "hesperidin complex", "hesperidin methylchalcone", "hetacillin", "hetacillin potassium", "hetacin-k", "hetastarch", "heterotheca inuloides flower extract", "hetlioz", "hex-o-prep", "hexa-caine", "hexachlorophene", "hexachlorophene / hydrocortisone / menthol", "hexadecanamide", "hexadecanolactone", "hexadecyl povidone (4 hexadecyl branches-repeat)", "hexadine", "hexafluorenium", "hexafluorenium bromide", "hexalen", "hexametaphosphate", "hexamethyldisiloxane", "hexamethylene diisocyanate-trimethylol hexyllactone crosspolymer", "hexamethylindanopyran", "hexamidine", "hexamidine isethionate", "hexaminolevulinate hydrochloride", "hexanediol", "hexanoyl dipeptide-3 norleucine acetate", "hexaplex trunculus hypobranchial gland juice", "hexasodium hexametaphosphate", "hexasol", "hexetidine", "hexetidine / niflumic acid", "hexi-dip", "hexidip", "hexobarbital", "hexobendine", "hexobendine hydrochloride", "hexocyclium", "hexocyclium methylsulfate", "hexoprenaline", "hexoprenaline sulfate", "hextend", "hexyl 5-aminolevulinate", "hexyl decanoate", "hexyl laurate", "hexyl salicylate", "hexylcaine", "hexylcaine hydrochloride", "hexyldecanol", "hexyldecyl laurate", "hexyldecyl myristoyl methylaminopropionate", "hexyldecyl stearate", "hexylene glycol", "hexylnicotinate", "hexylresorcinol", "hexylresorcinol / laureth-9", "hexylresorcinol / menthol", "hiberix", "hibiclens", "hibiscus rosa-sinensis flowering top extract", "hibiscus rosa-sinensis leaf extract", "hibiscus sabdariffa calyx extract", "hibiscus sabdariffa flower extract", "hibiscus syriacus bark extract", "hibiscus syriacus seed extract", "hibistat", "hieracium pilosella flowering top", "hieracium pilosella whole extract", "high fructose corn syrup", "high-density polyethylene", "himanthalia elongata extract", "himatanthus lancifolius bark extract", "hippomane mancinella fruiting leafy twig extract", "hippophae rhamnoides fruit extract", "hippophae rhamnoides fruit juice", "hippophae rhamnoides fruit oil", "hippophae rhamnoides seed oil", "hippophae rhamnoides whole extract", "hiprex", "hirudin", "histadec", "histafed", "histamaxd", "histamine", "histamine / menthol", "histamine dihydrochloride", "histamine hydrochloride", "histamine phosphate", "histatrol", "histex ac", "histex pd reformulated mar 2014", "histex pe", "histex syrup", "histidine", "histidine / isoleucine / leucine / lysine / methionine / phenylalanine / threonine / tryptophan / valine", "histidine / zinc sulfate", "histidine monohydrochloride", "histidine monohydrochloride monohydrate", "histoplasmin", "histrelin", "histrelin acetate", "hivetic", "hizentra", "hms suspension", "hog epithelia extract", "hog hair extract", "hog hair extract / hog skin extract", "hog skin extract", "holarrhena pubescens bark extract", "holmium", "homarine", "homarine hydrochloride", "homatropaire", "homatropine", "homatropine / HYDROcodone", "homatropine / ibuprofen", "homatropine / iodoquinol / phthalylsulfacetamide", "homatropine / opium / pectin", "homatropine / PHENobarbital", "homatropine / scopolamine", "homatropine / simethicone", "homatropine hydrobromide", "homatropine methylbromide", "homosalate", "honey bee venom", "honey preparation", "honeydew melon allergenic extract", "hongo killer", "hongo killer antifungal", "hongo killer treatment", "hongo killer ultra", "hoodia gordonii extract", "hooflex", "hops allergenic extract", "hops extract", "hops extract / skullcap preparation / valerian root extract", "hops extract / valerian root extract", "hordenine", "hordenine sulfate", "hordeum vulgare root extract", "hordeum vulgare top extract", "horehound extract", "horizant", "horse antihuman thymocyte gamma globulin", "horse chestnut preparation", "horse chestnut preparation / menthol", "horse chestnut seed", "horse chestnut whole extract", "horse hair extract", "horse hair extract / horse skin extract", "horse skin extract", "horseman's dream fung-a-way", "horseradish allergenic extract", "horseradish tree whole extract", "hot spot", "hottonia palustris flower extract", "house dust extract", "house dust mite extract, dermatophagoides farinae", "house dust mite extract, dermatophagoides pteronyssinus", "house fly allergenic extract", "house fly extract", "house mouse skin extract", "houttuynia cordata flowering top extract", "houttuynia cordata whole extract", "hovenia dulcis fruit extract", "hp 502", "hss", "HumaLOG", "HumaLOG Mix", "human adenovirus e serotype 4 strain cl-68578", "human adipose preparation", "human albumin grifols", "human breast tumor cell", "human calcitonin", "human chorionic gonadotropin", "human colostrum", "human cord blood hematopoietic progenitor cell", "human coxsackievirus a", "human coxsackievirus a2", "human coxsackievirus a7", "human coxsackievirus b", "human coxsackievirus b1", "human coxsackievirus b3", "human coxsackievirus b4", "human dander preparation", "human epidermal growth factor", "human hair preparation", "human herpesvirus 1", "human herpesvirus 2", "human herpesvirus 3", "human herpesvirus 5 species", "human ligament preparation", "human mammary gland preparation", "human milk preparation", "human papillomavirus", "human papillomavirus type 16, l1 capsid protein (residues 2-471) vaccine", "human papillomavirus type 18, l1 capsid protein (residues 2-472) vaccine", "human parathyroid preparation", "human parvovirus b19 virus", "human placenta hydrolysate", "human poliovirus", "human secretin", "human skin preparation", "human skin proteins, partially hydrolyzed", "human sputum, bordetella pertussis infected", "human vaccinia immune globulin", "human-bovine reassortant rotavirus strain g1 vaccine", "human-bovine reassortant rotavirus strain g1 vaccine / human-bovine reassortant rotavirus strain g2 vaccine / human-bovine reassortant rotavirus strain g3 vaccine / human-bovine reassortant rotavirus strain g4 vaccine / human-bovine reassortant rotavirus strain p1a[8] vaccine", "human-bovine reassortant rotavirus strain g2 vaccine", "human-bovine reassortant rotavirus strain g3 vaccine", "human-bovine reassortant rotavirus strain g4 vaccine", "human-bovine reassortant rotavirus strain p1a[8] vaccine", "humate-p", "humatrope", "humibid l.a. reformulated apr 2009", "humicola grisea extract", "humira", "humira pediatric crohn's disease starter pack 40 mg/0.8 ml prefilled syringe (6 count)", "humira pediatric crohn's disease starter package (3 count)", "humira pen 40 mg/0.8 ml - crohn's disease/ulcerative colitis starter pack", "humist", "HumuLIN", "HumuLIN N", "HumuLIN R", "humulus lupulus stem extract", "humulus lupulus whole extract", "huperzia serrata extract", "hura crepitans sap extract", "hurricaine", "hy-kxp", "hy-phen", "hy5", "hyacinthoides non-scripta extract", "hyacinthus orientalis whole extract", "hyalgan", "hyalovet", "hyaluronan", "hyaluronate", "hyaluronate / lidocaine", "hyaluronate / mecobalamin", "hyaluronate / pilocarpine", "hyaluronate / urea", "hyaluronic acid", "hyaluronidase", "hyaluronidase / lidocaine", "hyaluronidase, bovine", "hyaluronidase, human", "hyaluronidase, ovine", "hybrisil", "hycamtin", "hycet", "hycodan", "hycofenix", "hydantoin", "hydnocarpus kurzii seed oil", "hydraclear", "hydrALAZINE", "hydrALAZINE / Hydrochlorothiazide", "hydrALAZINE / Hydrochlorothiazide / Metoprolol", "hydrALAZINE / Hydrochlorothiazide / Reserpine", "hydrALAZINE / Isosorbide Dinitrate", "hydrALAZINE / Reserpine", "hydrALAZINE Hydrochloride", "hydrangea arborescens root extract", "hydrangea arborescens whole extract", "hydrangea extract", "hydrastis canadensis whole preparation", "hydrastis preparation", "hydrasyn25", "hydrea", "hydrisalic", "hydro 35", "hydro 40", "hydro gp", "hydro-pc ii", "hydrobromic acid", "hydrochloric acid", "hydrochlorothiazide", "hydrochlorothiazide / irbesartan", "hydrochlorothiazide / labetalol", "hydrochlorothiazide / lisinopril", "hydrochlorothiazide / losartan", "hydrochlorothiazide / magnesium chloride / methotrimeprazine", "hydrochlorothiazide / mepindolol", "hydrochlorothiazide / methyldopa", "hydrochlorothiazide / metoprolol", "hydrochlorothiazide / moexipril", "hydrochlorothiazide / olmesartan", "hydrochlorothiazide / pindolol", "hydrochlorothiazide / potassium chloride", "hydrochlorothiazide / propranolol", "hydrochlorothiazide / quinapril", "hydrochlorothiazide / ramipril", "hydrochlorothiazide / reserpine", "hydrochlorothiazide / sotalol", "hydrochlorothiazide / spironolactone", "hydrochlorothiazide / telmisartan", "hydrochlorothiazide / timolol", "hydrochlorothiazide / triamterene", "hydrochlorothiazide / triamterene / verapamil", "hydrochlorothiazide / valsartan", "hydrochlorothiazide / verapamil", "hydrocil", "HYDROcodone", "HYDROcodone / Ibuprofen", "HYDROcodone / Pheniramine / Phenylephrine / Phenylpropanolamine / Pyrilamine", "HYDROcodone / Phenylephrine", "HYDROcodone / Phenylephrine / Pyrilamine", "HYDROcodone / Phenylpropanolamine", "HYDROcodone / phenyltoloxamine", "HYDROcodone / Pseudoephedrine", "HYDROcodone / Pseudoephedrine / Triprolidine", "HYDROcodone Bitartrate", "HYDROcodone HCL", "HYDROcodone POLISTIREX", "HYDROcodone RESIN COMPLEX", "HYDROcodone tannate", "hydrocortisone", "hydrocortisone / hydroquinone / tretinoin", "hydrocortisone / ictasol", "hydrocortisone / iodoquinol", "hydrocortisone / isopropyl alcohol / resorcinol / sulfur", "hydrocortisone / ketoconazole", "hydrocortisone / lactate", "hydrocortisone / lactate / urea", "hydrocortisone / lidocaine", "hydrocortisone / lidocaine / pramoxine", "hydrocortisone / lidocaine / procyanidolic oligomer", "Hydrocortisone / metroNIDAZOLE / Miconazole", "hydrocortisone / miconazole", "hydrocortisone / naphazoline", "hydrocortisone / natamycin / neomycin", "hydrocortisone / neomycin", "hydrocortisone / neomycin / polymyxin b", "hydrocortisone / nystatin", "hydrocortisone / oxytetracycline", "hydrocortisone / phenol", "hydrocortisone / polymyxin b", "hydrocortisone / potassium oxyquinolone", "hydrocortisone / pramoxine", "hydrocortisone / pramoxine / zinc sulfate", "hydrocortisone / salicylic acid / sodium thiosulfate", "hydrocortisone / salicylic acid / sulfur", "hydrocortisone / sodium chloride / urea", "hydrocortisone / sulfacetamide", "hydrocortisone / sulfur / zinc oxide", "hydrocortisone / tetracycline", "hydrocortisone / tretinoin", "hydrocortisone / zinc sulfate", "hydrocortisone aceponate", "hydrocortisone acetate", "hydrocortisone butyrate", "hydrocortisone cypionate", "hydrocortisone probutate", "hydrocortisone sodium phosphate", "hydrocortisone sodium succinate", "hydrocortisone valerate", "hydrocot", "hydrofed", "hydroflumethiazide", "hydroflumethiazide / potassium / rauwolfia preparation", "hydroflumethiazide / reserpine", "hydroflumethiazide / spironolactone", "hydrofluoric acid", "hydrofluoric acid / phosphoric acid / sodium fluoride", "hydrofluoric acid / sodium fluoride", "hydrofluoric acid / sodium fluoride / stannous fluoride", "hydrogen", "hydrogen cyanide", "hydrogen peroxide", "hydrogen peroxide / lactate", "hydrogen peroxide / povidone-iodine", "hydrogen peroxide / sodium bicarbonate", "hydrogen sulfite", "hydrogenated avocado oil", "hydrogenated castor oil", "hydrogenated coco-glycerides", "hydrogenated coconut oil", "hydrogenated cottonseed oil", "hydrogenated didecene", "hydrogenated jojoba oil, randomized", "hydrogenated jojoba oil-jojoba oil, randomized (iodine value 57-61)", "hydrogenated jojoba oil/jojoba oil, randomized (iodine value 40-44)", "hydrogenated menhaden oil", "hydrogenated methyl abietate", "hydrogenated olive oil", "hydrogenated palm glycerides", "hydrogenated palm kernel glycerides", "hydrogenated palm kernel oil", "hydrogenated palm oil", "hydrogenated poly(c6-14 olefin; 2 cst)", "hydrogenated polybutene (1300 mw)", "hydrogenated polybutene (370 mw)", "hydrogenated polydecene (550 mw)", "hydrogenated rapeseed oil", "hydrogenated soybean lecithin", "hydrogenated soybean oil", "hydrogenated starch hydrolysate", "hydrogenated tallow acid", "hydrogenated vegetable oil", "hydroiodic acid", "hydrolysed bovine collagen (enzymatic; 2000-5000 mw)", "hydrolysed marine collagen (enzymatic; 2000 mw)", "hydrolyzed elastin, bovine, alkaline (1000 mw)", "hydrolyzed glycosaminoglycans (bovine; 50000 mw)", "hydrolyzed jojoba esters (acid form)", "hydrolyzed placental protein (bovine)", "hydrolyzed sericin (enzymatic; 2500 mw)", "hydrolyzed soy protein (enzymatic; 2000 mw)", "hydrolyzed wheat protein (enzymatic, 3000 mw)", "hydromet", "HYDROmorphone", "HYDROmorphone Hydrochloride", "hydron cp", "hydron ex", "hydron kgs", "hydron pcs", "hydropel", "hydroquinidine", "hydroquinidine hcl", "hydroquinone", "hydroquinone / lanolin", "hydroskin", "hydrotalcite", "hydrotalcite / simethicone", "hydroxide ion", "hydroxocobalamin", "hydroxocobalamin / ibuprofen", "hydroxocobalamin acetate", "hydroxyamphetamine hydrobromide", "hydroxycaprylate", "hydroxycaprylic acid", "hydroxychloroquine", "hydroxychloroquine sulfate", "hydroxycitric acid", "hydroxycitronellal", "hydroxyestrone diacetate", "hydroxyestrones", "hydroxyethyl acrylate/sodium acryloyldimethyl taurate copolymer (100000 mpa.s at 1.5%)", "hydroxyethyl acrylate/sodium acryloyldimethyl taurate copolymer (45000 mpa.s at 1%)", "hydroxyethyl behenamidopropyl dimonium chloride", "hydroxyethyl cellulose", "hydroxyethyl cellulose (100 mpa.s at 2%)", "hydroxyethyl cellulose (140 cps at 5%)", "hydroxyethyl cellulose (1500 mpa.s at 1%)", "hydroxyethyl cellulose (1800 mpa.s at 2%)", "hydroxyethyl cellulose (2000 cps at 1%)", "hydroxyethyl cellulose (280 mpa.s at 2%)", "hydroxyethyl cellulose (280 mpa.s at 5%)", "hydroxyethyl cellulose (3000 cps at 1%)", "hydroxyethyl cellulose (40 mpa.s at 2%)", "hydroxyethyl cellulose (4000 cps at 1%)", "hydroxyethyl cellulose (5000 cps at 1%)", "hydroxyethyl cellulose (5500 mpa.s at 2%)", "hydroxyethyl cellulose (6500 mpa.s at 2%)", "hydroxyethyl cellulose / povidone", "hydroxyethyl cetyldimonium phosphate", "hydroxyethyl ethylcellulose", "hydroxyethyl laurdimonium", "hydroxyethyl laurdimonium chloride", "hydroxyethyl starch 130-0.4", "hydroxyethyl urea", "hydroxyethylpiperazine ethane sulfonic acid", "hydroxyisohexyl 3-cyclohexene carboxaldehyde", "hydroxylated lanolin", "hydroxylysine", "hydroxymethyl cellulose", "hydroxymethylglycinate", "hydroxyoctacosanyl hydroxystearate", "hydroxyphenyl propamidobenzoic acid", "hydroxyprogesterone acetate", "hydroxyprogesterone caproate (usp)", "hydroxyproline", "hydroxypropyl bis-hydroxyethyldimonium", "hydroxypropyl bis-hydroxyethyldimonium chloride", "hydroxypropyl bisstearamide monoethanolamide", "hydroxypropyl bisstearyldimonium", "hydroxypropyl bisstearyldimonium chloride", "hydroxypropyl cellulose (type e)", "hydroxypropyl cellulose (type el)", "hydroxypropyl cellulose (type g)", "hydroxypropyl cellulose (type j)", "hydroxypropyl cellulose (type l)", "hydroxypropyl cellulose (type m)", "hydroxypropyl cellulose, low substituted", "hydroxypropyl chitosan", "hydroxypropyl corn amylopectin, phosphate crosslinked (4000 mpa.s at 5%)", "hydroxypropyl corn starch (5% substitution by weight)", "hydroxypropyl distarch phosphate, high amylose corn", "hydroxypropyl gamma-cyclodextrin", "hydroxypropyl guar (2500-4500 mpa.s at 1%)", "hydroxypropyl methylcellulose 2208", "hydroxypropyl methylcellulose 2910", "hydroxypropyl methylcellulose phthalate", "hydroxypropyl-alpha-cyclodextrin", "hydroxypropylbetadex (0.58-0.68 ms)", "hydroxypropylcellulose", "hydroxypropylcocoate peg-8 dimethicone", "hydroxystearate", "hydroxytyrosol", "hydroxyurea", "hydrOXYzine", "hydrOXYzine / Labetalol", "hydrOXYzine / Meclizine", "hydrOXYzine / oxyphencyclimine", "hydrOXYzine / pentaerythritol", "hydrOXYzine Hydrochloride", "hydrOXYzine Pamoate", "hygromycin b", "hylan", "hylan g-f 20", "hylartin", "hylase wound", "hylenex", "hylira", "hymecromone", "hymenoptera allergenic extract", "hyolev", "hyomax", "hyophen", "hyoscyamine", "hyoscyamine / methenamine", "hyoscyamine / methenamine / methylene blue / phenyl salicylate", "hyoscyamine / methenamine / methylene blue / phenyl salicylate / sodium phosphate, monobasic", "hyoscyamine / methenamine / methylene blue / sodium phosphate, monobasic", "hyoscyamine / papaverine", "Hyoscyamine / PHENobarbital", "hyoscyamine / phenyltoloxamine", "hyoscyamine hydrobromide", "hyoscyamine sulfate", "hyoscyamus extract", "hyoscyamus extract / phenazopyridine / sulfamethizole", "Hyoscyamus extract / PHENobarbital", "hyoscyamus niger extract", "hyoscyamus niger leaf extract", "hyoscyamus niger whole extract", "hyper-sal", "hypercare", "hyperhep b", "hypericin", "hypericum extract", "hypericum oil", "hypericum perforatum flower extract", "hypericum perforatum leaf extract", "hyperrab", "hyperrho", "hypertet s/d", "hyphanox", "hyphed", "hypnea musciformis extract", "hypochlorite", "hypochlorous acid", "hypomyces perniciosus extract", "hypophosphite ion", "hypophosphorus acid", "hypotears", "hypoxis hemerocallidea root extract", "hypromellose", "hypromellose / naphazoline", "hypromellose / naphazoline / polysorbate 80 / zinc sulfate", "hypromellose / phenylephrine", "hypromellose / tetrahydrozoline", "hypromellose / tetrahydrozoline / zinc sulfate", "hypromellose 2208", "hypromellose 2208 (100 mpa.s)", "hypromellose 2208 (100000 mpa.s)", "hypromellose 2208 (15000 mpa.s)", "hypromellose 2208 (3 mpa.s)", "hypromellose 2208 (4000 cps)", "hypromellose 2906 (4 mpa.s)", "hypromellose 2906 (4000 mpa.s)", "hypromellose 2906 (50 mpa.s)", "hypromellose 2910", "hypromellose 2910 (10000 mpa.s)", "hypromellose 2910 (15 mpa.s)", "hypromellose 2910 (15000 mpa.s)", "hypromellose 2910 (3 mpa.s)", "hypromellose 2910 (4000 mpa.s)", "hypromellose 2910 (5 mpa.s)", "hypromellose 2910 (50 mpa.s)", "hypromellose 2910 (6 cps)", "hypromellose 2910 3cp", "hypromellose 2910 50cp", "hypromellose 2910-5cp", "hypromellose acetate succinate 06081224 (3 mm2-s)", "hypromellose acetate succinate 12070923 (3 mm2-s)", "hypromellose acetate succinate 16070722 (3 mm2-s)", "hypromellose phthalate (24% phthalate, 55 cst)", "hypromellose phthalate (31% phthalate, 170 cst)", "hypromellose phthalate (31% phthalate, 40 cst)", "hyqvia 200 unt per 1.25 ml / 2.5 g per 25 ml (10 % ) kit", "hyriopsis cumingii whole extract", "hysept", "hysingla", "hyskon", "hyssop oil", "hyssopus officinalis extract", "hyssopus officinalis whole extract", "hytone", "hyzaar", "i-deal", "iampur", "ibadronate", "ibandronate", "ibandronate sodium", "ibandronic acid", "iberis amara seed extract", "ibopamine", "ibopamine hydrochloride", "ibrance", "ibritumomab tiuxetan", "ibrutinib", "ibu", "ibudone", "ibuprofen", "ibuprofen / levomenthol", "ibuprofen / lidocaine", "ibuprofen / menthol", "ibuprofen / methocarbamol", "ibuprofen / niacin", "Ibuprofen / oxyCODONE", "ibuprofen / phenylephrine", "ibuprofen / pseudoephedrine", "ibuprofen / pseudoisocytidine", "ibuprofen / scopolamine", "ibuprofen / tolperisone", "ibuprofen / vitamin b 12", "ibuprofen, sodium salt", "ibuprohm", "ibutab", "ibutilide", "ibutilide fumarate", "ic 400 kit", "ic 800 kit", "icar", "icar c", "icar-c plus", "icatibant", "icatibant acetate", "ichthammol", "ichthammol / zinc oxide", "iclusig", "icodextrin", "icosapent ethyl", "ictasol", "ictasol / salicylic acid", "icy hot", "icy hot arthritis", "icy hot vapor", "icy hot with capsaicin", "icy hot with methyl salicylate", "idamycin", "IDArubicin", "IDArubicin Hydrochloride", "idarucizumab", "idebenone", "idebenone / niMODipine", "idebenone / vitamin e", "idelalisib", "idoxuridine", "Idoxuridine / prednisoLONE", "idrocilamide", "idursulfase", "ifenprodil", "ifenprodil tartrate", "iferex", "iferex 150 forte", "ifex", "ifosfamide", "ifosfamide / mesna", "ilaris", "ilevro", "ilex aquifolium flowering top extract", "ilex aquifolium fruiting top extract", "ilex aquifolium leaf extract", "ilex paraguariensis leaf extract", "ilex paraguariensis whole extract", "ilex pedunculosa whole extract", "ilex pubescens root extract", "ilex skin", "ilomastat", "iloperidone", "iloprost", "ilotycin", "iluvien", "imatinib", "imatinib mesylate", "imbruvica", "imdur", "imidacloprid", "imidacloprid / moxidectin", "imidapril", "imidapril hydrochloride", "imidazole-2-hydroxybenzoate", "imidurea", "imiglucerase", "iminodisuccinate", "imipenem", "imipenem anhydrous", "imipramine", "imipramine hydrochloride", "imipramine pamoate", "imiquimod", "imitrex", "imlygic", "immature citrus aurantium fruit extract", "immature citrus sinensis fruit extract", "immature juglans regia fruit rind extract", "immiticide", "immune globulin subcutaneous (human)", "immunoglobulin a", "immunoglobulin a, human", "immunoglobulin g", "immunoglobulin g, human", "immunoglobulin m, human", "immunoglobulins, intravenous", "immuzim", "imodium", "imodium advanced", "imodium multi-symptom relief", "imogam", "imotil", "imovax", "impatiens balsamina flower extract", "impatiens balsamina leaf extract", "impatiens glandulifera flower extract", "impavido", "imperata cylindrica root extract", "imperatoria ostruthia root extract", "implanon", "improvest", "imuran", "inamrinone", "inamrinone lactate", "inapsine", "incivek", "incobotulinumtoxin a", "increlex", "incruse", "incurin", "incurin 30 day pack", "indacaterol", "indacaterol maleate", "indanazolin hydrochloride", "indanazoline", "indapamide", "indapamide / perindopril", "indeloxazine", "indeloxazine hydrochloride", "inderal", "indian wormwood sage pollen extract", "indigo", "indigo carmine", "indigofera tinctoria leaf extract", "indigotindisulfonate", "indigotindisulfonic acid", "indinavir", "indinavir anhydrous", "indinavir sulfate", "indiomin", "indium", "indium cation in-111", "indium in-111 chloride", "indium in-111 oxyquinoline", "indium-111", "indobufen", "indocin", "indocyanine green", "indole", "indomethacin", "indomethacin / laureth-9", "indomethacin / methocarbamol", "indomethacin / thiamine", "indomethacin sodium", "indomethacin sodium trihydrate", "indoramin", "indoramin hydrochloride", "inert ingredients", "infanrix", "infantaire", "infantaire gas relief", "infasurf", "infed", "infergen", "inflammation otc bruise", "inflammation otc deep pain care", "inflammation otc deep pain care hot", "inFLIXimab", "influenza a virus", "influenza a virus (h1n1) antigen", "influenza a virus (h1n1) antigen / influenza a virus (h3n2) antigen / influenza b virus antigen", "influenza a virus (h3n2) antigen", "influenza a virus a/beijing/32/1992 (h3n2) antigen", "influenza a virus a/bolivia/559/2013 (h1n1) antigen", "influenza a virus a/bolivia/559/2013 (h1n1) antigen / influenza a virus a/switzerland/9715293/2013 (h3n2) antigen / influenza b virus b/brisbane/60/2008 antigen / influenza b virus b/phuket/3073/2013 antigen", "influenza a virus a/brisbane/10/2010 (h1n1) antigen", "influenza a virus a/california/7/2009 (h1n1) antigen", "influenza a virus a/california/7/2009 (h1n1) antigen / influenza a virus a/switzerland/9715293/2013 (h3n2) antigen / influenza b virus b/brisbane/60/2008 antigen / influenza b virus b/phuket/3073/2013 antigen", "influenza a virus a/christchurch/16/2010 (h1n1) antigen", "influenza a virus a/christchurch/16/2010 (h1n1) antigen / influenza a virus a/switzerland/9715293/2013 (h3n2) antigen / influenza b virus b/brisbane/60/2008 antigen / influenza b virus b/phuket/3073/2013 antigen", "influenza a virus a/new caledonia/20/1999 (h1n1) antigen", "influenza a virus a/singapore/6/1986 (h1n1) antigen", "influenza a virus a/south australia/55/2014 (h3n2) antigen", "influenza a virus a/switzerland/9715293/2013 (h3n2) antigen", "influenza a virus a/texas/50/2012 (h3n2) antigen", "influenza a virus a/victoria/361/2011 (h3n2) antigen", "influenza a virus antigen, panama 2007-99 (h3n2)", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus / influenza a virus vaccine, a-texas-50-2012 (h3n2)-like virus / influenza b virus vaccine, b-brisbane-60-2008-like virus / influenza b virus vaccine, b-massachusetts-2-2012-like virus", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus / influenza a virus vaccine, a-victoria-361-2011 (h3n2)-like virus / influenza b virus vaccine, b-brisbane-60-2008-like virus / influenza b virus vaccine, b-massachusetts-2-2012-like virus", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus / influenza a virus vaccine, a-victoria-361-2011 (h3n2)-like virus / influenza b virus vaccine, b-massachusetts-2-2012-like virus", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus / influenza a virus vaccine, a-victoria-361-2011 (h3n2)-like virus / influenza b virus vaccine, b-massachusetts-2-2012-like virus / influenza virus vaccine, live attenuated, b-brisbane-60-2008 strain", "influenza a virus vaccine, a-california-7-2009 (h1n1)-like virus / influenza a virus vaccine, a-victoria-361-2011 (h3n2)-like virus / influenza b virus vaccine, b-wisconsin-1-2010-like virus", "influenza a virus vaccine, a-texas-50-2012 (h3n2)-like virus", "influenza a virus vaccine, a-texas-50-2012 x-223a (h3n2), inactivated", "influenza a virus vaccine, a-victoria-361-2011 (h3n2)-like virus", "influenza a-b virus immunoserum rabbit", "influenza a-california-7-2009-(h1n1)v-like virus vaccine", "influenza b virus", "influenza b virus antigen", "influenza b virus antigen, hong kong 330-2001", "influenza b virus b/brisbane/60/2008 antigen", "influenza b virus b/hubei wujigang/158/2009/antigen", "influenza b virus b/phuket/3073/2013 antigen", "influenza b virus b/utah/9/2014 antigen", "influenza b virus vaccine, b-brisbane-60-2008-like virus", "influenza b virus vaccine, b-massachusetts-2-2012 bx-51b, inactivated", "influenza b virus vaccine, b-massachusetts-2-2012-like virus", "influenza b virus vaccine, b-massachusetts-2-2012-like virus, recombinant", "influenza b virus vaccine, b-texas-6-2011, inactivated", "influenza b virus vaccine, b-wisconsin-1-2010-like virus", "influenza b virus, b panama-45-90 hemmagglutinin antigen, inactivated", "influenza virus vaccine, inactivated a-brisbane-10-2007 (h3n2)-like virus (a-uruguay-716-2007 nymc x-175c) strain", "influenza virus vaccine, inactivated a-brisbane-10-2007 (h3n2)-like virus (a-uruguay-716-2007 nymc x-175c) strain / influenza virus vaccine, inactivated a-brisbane-59-2007, ivr-148 (h1n1) strain / influenza virus vaccine, inactivated, b-florida-4-2006-like virus (b-florida-4-2006) strain", "influenza virus vaccine, inactivated a-brisbane-59-2007 (h1n1) strain", "influenza virus vaccine, inactivated a-brisbane-59-2007 (h1n1) strain / influenza virus vaccine, inactivated a-uruguay-716-2007 (h3n2) (a-brisbane-10-2007-like) strain / influenza virus vaccine, inactivated b-florida-4-2006 strain", "influenza virus vaccine, inactivated a-brisbane-59-2007, ivr-148 (h1n1) strain", "influenza virus vaccine, inactivated a-brisbane-59-2007, ivr-148 (h1n1) strain / influenza virus vaccine, inactivated a-uruguay-716-2007, nymc x-175c (h3n2) strain / influenza virus vaccine, inactivated b-brisbane-60-2008 strain", "influenza virus vaccine, inactivated a-california-07-2009 x-179a (h1n1) strain", "influenza virus vaccine, inactivated a-california-07-2009 x-179a (h1n1) strain / influenza virus vaccine, inactivated a-victoria-210-2009 x-187 (h3n2) (a-perth-16-2009) strain / influenza virus vaccine, inactivated b-brisbane-60-2008 strain", "influenza virus vaccine, inactivated a-california-07-2009 x-181 (h1n1) strain", "influenza virus vaccine, inactivated a-california-07-2009 x-181 (h1n1) strain / influenza virus vaccine, inactivated a-victoria-210-2009 x-187 (h3n2) (a-perth-16-2009) strain / influenza virus vaccine, inactivated b-brisbane-60-2008 strain", "influenza virus vaccine, inactivated a-christchurch-16-2010 nib-74 (h1n1) (a-california-7-2009) strain", "influenza virus vaccine, inactivated a-christchurch-16-2010 nib-74 (h1n1) (a-california-7-2009) strain / influenza virus vaccine, inactivated a-victoria-210-2009 x-187 (h3n2) (a-perth-16-2009) strain / influenza virus vaccine, inactivated b-brisbane-60-2008 strain", "influenza virus vaccine, inactivated a-uruguay-716-2007 (h3n2) (a-brisbane-10-2007-like) strain", "influenza virus vaccine, inactivated a-uruguay-716-2007, nymc x-175c (h3n2) strain", "influenza virus vaccine, inactivated a-victoria-210-2009 x-187 (h3n2) (a-perth-16-2009) strain", "influenza virus vaccine, inactivated b-brisbane-60-2008 strain", "influenza virus vaccine, inactivated b-florida-4-2006 strain", "influenza virus vaccine, inactivated, a-h1n1 (a-brisbane-59-2007) strain", "influenza virus vaccine, inactivated, a-h1n1 (a-brisbane-59-2007) strain / influenza virus vaccine, inactivated, a-h3n2 (a-uruguay-716-2007) strain / influenza virus vaccine, inactivated, influenza b (b-florida-4-2006) strain", "influenza virus vaccine, inactivated, a-h3n2 (a-uruguay-716-2007) strain", "influenza virus vaccine, inactivated, b-florida-4-2006-like virus (b-florida-4-2006) strain", "influenza virus vaccine, inactivated, influenza b (b-florida-4-2006) strain", "influenza virus vaccine, live attenuated, a-california-7-2009 (h1n1) strain", "influenza virus vaccine, live attenuated, a-california-7-2009 (h1n1) strain / influenza virus vaccine, live attenuated, a-perth-16-2009 (h3n2) strain / influenza virus vaccine, live attenuated, b-brisbane-60-2008 strain", "influenza virus vaccine, live attenuated, a-perth-16-2009 (h3n2) strain", "influenza virus vaccine, live attenuated, a-south dakota-6-2007 (h1n1) (a-brisbane-59-2007-like) strain", "influenza virus vaccine, live attenuated, a-south dakota-6-2007 (h1n1) (a-brisbane-59-2007-like) strain / influenza virus vaccine, live attenuated, a-uruguay -716-2007 (h3n2) (a-brisbane-10-2007-like) strain / influenza virus vaccine, live attenuated, b-brisbane-60-2008 strain", "influenza virus vaccine, live attenuated, a-south dakota-6-2007 (h1n1) (a-brisbane-59-2007-like) strain / influenza virus vaccine, live attenuated, a-uruguay -716-2007 (h3n2) (a-brisbane-10-2007-like) strain / influenza virus vaccine, live attenuated, b-florida-4-2006 strain", "influenza virus vaccine, live attenuated, a-uruguay -716-2007 (h3n2) (a-brisbane-10-2007-like) strain", "influenza virus vaccine, live attenuated, b-brisbane-60-2008 strain", "influenza virus vaccine, live attenuated, b-florida-4-2006 strain", "infumorph", "infuvite", "infuvite pediatric", "inga edulis seed extract", "ingenol mebutate", "injectafer", "inlyta", "innofem", "innohep", "innopran", "inomax", "inon ace solution", "inon ace tablet", "inonotus obliquus fruiting body extract", "inosine", "inosine pranobex", "inosinic acid", "inositol", "inositol / niacin", "inositol / phytic acid", "inositol / vitamin b6", "inositol niacinate", "inova", "inova 4 % -1 % medicated pad", "inova 8-2", "insoluble berlin blue stain", "inspra", "insta-char", "insta-glucose", "instacort", "instantfoam", "insulin beef, isophane", "insulin beef-pork, isophane", "insulin degludec", "insulin detemir", "insulin glargine", "insulin human, isophane", "insulin human, rdna origin", "insulin lispro", "insulin lispro / insulin, protamine lispro, human", "insulin pork, isophane", "insulin, aspart protamine, human", "insulin, aspart protamine, human / insulin, aspart, human", "insulin, aspart, human", "insulin, glulisine, human", "insulin, isophane", "insulin, isophane / insulin, regular, pork", "insulin, isophane / regular insulin, human", "insulin, pork", "insulin, prompt zinc, beef", "insulin, prompt zinc, beef-pork", "insulin, prompt zinc, human", "insulin, prompt zinc, human / insulin, zinc, human", "insulin, prompt zinc, human / ultralente insulin, human", "insulin, prompt zinc, pork", "insulin, protamine lispro, human", "insulin, protamine zinc, beef", "insulin, protamine zinc, beef-pork", "insulin, protamine zinc, human", "insulin, protamine zinc, pork", "insulin, regular, beef", "insulin, regular, beef-pork", "insulin, regular, pork", "insulin, zinc, human", "insulin, zinc, pork", "integra f", "integrilin", "intelence", "interceptor", "interferon alfa-2a", "interferon alfa-2b", "interferon alfa-3n,human leukocyte derived", "interferon alfa-n1", "interferon alfa-n1 lymphoblastoid", "interferon alfa-n3", "interferon alfacon-1", "interferon beta-1a", "interferon beta-1b", "interferon gamma, porcine recombinant", "interferon gamma-1a", "interferon gamma-1b", "interferon type ii", "interferon-beta", "interleukin-10", "interleukin-11", "interleukin-12", "interleukin-12, human", "interleukin-12, human recombinant", "interleukin-3", "interleukin-4", "interleukin-5", "interleukin-6", "interleukin-6, human", "interleukin-7", "interleukin-8", "interleukin-9", "intermezzo", "intestinex", "intralipid", "intramuscular immunoglobulin", "intrinsic factor", "intrinsic factor / vitamin b 12", "intrinsic factor concentrate", "intron a", "introvale 91 day pack", "intuniv", "intuniv kit 7/7", "inula helenium root extract", "inulin", "inulin / lactobacillus rhamnosus gg", "INVanz", "invega", "invert sugar", "invert sugar / sodium chloride", "invirase", "invokamet", "invokana", "inzo", "io-blend", "io-sans 110", "io-shield", "iobenguane i-123", "iobenguane sulfate i-123", "iobitridol", "iocetamic acid", "iodamide", "iodate ion", "iodent", "iodex", "iodide i-125", "iodide ion", "iodide ion i-123", "iodide ion i-131", "iodinated glycerol", "iodinated glycerol / phenylpropanolamine", "iodinated glycerol / theophylline", "iodine", "iodine / isopropyl alcohol", "iodine / isopropyl alcohol / potassium iodide", "iodine / isopropyl alcohol / sodium iodide", "iodine / lactate", "iodine / methyl salicylate", "iodine / potassium gluconate", "iodine / potassium iodide", "iodine / potassium iodide / zinc phenolsulfonate", "iodine / sodium iodide", "iodine / vitamin a", "iodine bush pollen extract", "iodine i-120", "iodine i-131", "iodine povacrylex", "iodine povacrylex / isopropyl alcohol", "iodine-125", "iodine-131-tositumomab", "iodip", "iodipamide", "iodixanol", "iodoflex", "iodoform", "iodoform / zinc oxide", "iodohippurate", "iodohippurate i123 sodium", "iodohippurate i131 sodium", "iodopen", "iodophors", "iodophors / isopropyl alcohol", "iodoquinol", "Iodoquinol / metroNIDAZOLE", "iodoquinol / papaverine / phthalylsulfathiazole", "iodoquinol / papaverine / succinylsulfathiazole", "iodoquinol / simethicone", "iodoshield", "iodosorb", "iodoxamid", "ioflupane i-123", "iohexol", "ionamin", "ionil plus", "ionil t", "ionosol-b", "ionosol-mb", "ionosol-t", "ionsys", "iopamidol", "iopanoate", "iopanoate sodium", "iopanoic acid", "iopentol", "iophendylate", "iopidine", "iopromide", "iosat", "iothalamate", "iothalamate meglumine", "iothalamate sodium i125", "iothalamic acid", "iothalamic acid i-125", "iotrolan", "ioversol", "ioxaglate", "ioxaglate meglumine", "ioxaglate sodium", "ioxaglic acid", "ioxapine", "ioxilan", "ipecac", "ipilimumab", "ipm wound", "ipodate", "ipodate sodium", "ipol", "ipomoea mauritiana tuber extract", "ipomoea nil seed extract", "ipomoea pes-caprae flowering top extract", "ipomoea purga root extract", "ipomoea purpurea seed extract", "ipomoea purpurea top extract", "ipratropium", "ipratropium bromide", "ipratropium bromide anhydrous", "ipratropium bromide monohydrate", "ipratropium cation", "iprazochrome", "ipriflavone", "iprindole", "iprivask", "iproniazid", "iquix", "ir dip 10", "irbesartan", "irenka", "iresine calea extract", "iressa", "iridium", "irinotecan", "irinotecan hydrochloride", "irinotecan hydrochloride liposome", "irinotecan liposomal", "iris domestica root extract", "iris domestica whole extract", "iris germanica extract", "iris germanica root extract", "iris pallida root extract", "iris tenax extract", "iris versicolor root extract", "iron", "iron bile salts", "iron carbonyl", "iron fumarate", "iron oxide black", "iron polysaccharide", "iron protein succinylate", "iron sorbitex", "iron succinyl milk protein complex", "iron,peptonized", "iron,peptonized / liver extract / vitamin b 12", "iron-dextran complex", "irospan 24/6 kit", "irospan tablet", "irvingia gabonensis seed butter extract", "irvingia gabonensis seed extract", "isatis tinctoria root extract", "isavuconazole", "isavuconazonium", "isavuconazonium sulfate", "isentress", "isethionic acid", "ismo", "ismotic pb", "iso-sulfan blue", "isoaminile", "isoamyl acetate", "isoamyl butyrate", "isoamyl cocoate", "isoamyl laurate", "isoascorbic acid", "isobornyl acrylate", "isobornyl methacrylate", "isobutane", "isobutyl acetate", "isobutyl alcohol", "isobutyl stearate", "isobutylparaben", "isobutyramide", "isocaine", "isocaine with levonordefrin", "isocarboxazid", "isoceteth 20", "isoceteth-10", "isocetyl alcohol", "isocetyl ethylhexanoate", "isocetyl myristate", "isocetyl stearate", "isocetyl stearoyl stearate", "isochron", "isoconazole", "isoconazole nitrate", "isodeceth-6", "isodecyl isononanoate", "isodecyl laurate", "isodecyl neopentanoate", "isoditrate", "isododecane", "isodon rubescens top extract", "isodon rubescens whole extract", "isoeicosane", "isoetharine", "isoetharine hydrochloride", "isoetharine mesylate", "isoeugenol", "isoflo", "isoflupredone", "isoflupredone / neomycin / tetracaine", "isoflupredone acetate", "isoflurane", "isoflurophate", "isoleucine", "isoleucine / leucine / valine", "isolyte m", "isolyte p", "isolyte s", "isolyte s in 5 % dextrose", "isomalt", "isomerized safflower acid", "isometheptene", "isometheptene mucate", "isometheptene mucate (1:1)", "isomethyleugenol", "isomyrtol", "isomyrtol / pholcodine", "isonarif", "isoniacinamide", "isoniazid", "isoniazid / pyrazinamide / rifampin", "isoniazid / rifampin", "isoniazid / vitamin b6", "isononyl isononanoate", "isopentane", "isopentyldiol", "isoprene", "isopropamide", "isopropamide / prochlorperazine", "isopropamide / trifluoperazine", "isopropamide iodide", "isopropyl acetate", "isopropyl alcohol", "isopropyl alcohol / methyl salicylate", "isopropyl alcohol / povidone-iodine", "isopropyl alcohol / salicylic acid", "isopropyl alcohol / salicylic acid / sodium thiosulfate", "isopropyl behenate", "isopropyl isobutyrate", "isopropyl isostearate", "isopropyl laurate", "isopropyl lauroyl sarcosinate", "isopropyl linoleate", "isopropyl maleate", "isopropyl myristate", "isopropyl myristate / mineral oil", "isopropyl palmitate", "isopropyl stearate", "isopropyl titanium triisostearate", "isopropyl unoprostone", "isopropylbenzyl salicylate", "isopropylparaben", "isopropylphthalimide", "isoproterenol", "isoproterenol / phenylephrine", "isoproterenol hydrochloride", "isoproterenol sulfate", "isoptin", "isopto alkaline", "isopto atropine", "isopto carbachol", "isopto cetamide", "isopto homatropine", "isopto hyoscine", "isoptocarpine", "isopulegol", "isordil", "isosol", "isosorbide", "isosorbide dinitrate", "isosorbide dinitrate / verapamil", "isosorbide mononitrate", "isospaglumic acid", "isostearamidopropyl morpholine lactate", "isostearate", "isosteareth-20", "isostearic acid", "isostearic diethanolamide", "isostearoyl lactylate", "isostearyl alcohol", "isostearyl hydroxystearate", "isostearyl isobutyrate", "isostearyl isostearate", "isostearyl lactate", "isostearyl linoleate", "isostearyl neopentanoate", "isostearyl palmitate", "isosulfan blue inner salt", "isothesia", "isothiazole", "isothipendyl", "isothipendyl / pipazethate", "isothipendyl hcl", "ISOtretinoin", "isotridecyl isononanoate", "isoxaflutole", "isoxsuprine", "isoxsuprine hydrochloride", "ispaghula extract", "ispaghula husk", "isradipine", "istalol", "istodax", "isuprel", "italian rye grass pollen extract", "itch-x", "itch-x maximum strength", "itraconazole", "itraconazole / secnidazole", "ivabradine", "ivabradine hydrochloride", "ivacaftor", "ivacaftor / lumacaftor", "ivarest maximum strength", "ivarest medicated poison ivy cleansing foam", "ivarest poison ivy itch spray", "iveegam", "iver-on", "ivercare", "iverchoice", "ivercide", "iverhart max", "ivermax", "ivermax plus", "ivermectin", "ivermectin / praziquantel", "ivermectin / praziquantel / pyrantel", "ivermectin / pyrantel", "ivomec", "ivomec plus", "ivy block", "ivy dry super continuous spray", "ivy-dry cream", "ixabepilone", "ixempra", "ixiaro", "ixinity", "j-cof dhc", "j-max", "j-max dhc", "jacaranda caroba flower extract", "jack pine pollen extract", "jacobaea maritima extract", "jacobaea vulgaris extract", "jadenu", "jakafi", "jalyn", "jantoven", "janumet", "januvia", "japanese black pine pollen extract", "japanese encephalitis virus", "japanese encephalitis virus vaccine nakayama-nih strain, inactivated", "japanese encephalitis virus vaccine, inactivated", "japanese pagoda tree flower bud extract", "jarcaranda caroba leaf extract", "jardiance", "jasmine lactone", "jasmine oil", "jasminum grandiflorum flower extract", "jasminum officinale flower extract", "jasminum officinale leaf extract", "jasminum officinale whole extract", "jasminum sambac flower extract", "jasminum sambac whole extract", "jateorhiza calumba root extract", "jatropha curcas seed extract", "jatropha curcas whole extract", "jencycla 28 day pack", "jentadueto", "jerusalem artichoke extract", "jerusalem oak pollen extract", "jet-alert", "jetrea", "jevantique", "jevtana", "jewel weed whole extract", "jinteli", "johnson grass pollen extract", "johnson grass smut extract", "johnson grass smut pollen extract", "johnsons no more rash", "joint formula 88 max plus", "joint gel", "jointflex", "jointflex ice", "jojoba butter", "jojoba oil, randomized", "jojoba wax", "jolessa 91 day pack", "jolivette 28 day pack", "josamycin", "josamycin propionate", "joshua tree root extract", "jublia", "juglans cinerea branch bark-root bark extract", "juglans nigra bark extract", "juglans nigra whole extract", "juglans regia flowering top extract", "juglans regia leaf extract", "juglans regia shell extract", "juglans regia whole extract", "jujube fruit extract", "juleber 28 day pack", "june grass pollen extract", "junel 1.5/30 21 day pack", "junel 1/20 21 day pack", "junel fe 1.5/30 28 day pack", "junel fe 1/20 28 day pack", "junel fe 24 (28 day) pack", "juniper berry oil", "juniper tar", "juniper tar / zinc pyrithione", "juniperus communis fruit extract", "juniperus communis whole extract", "juniperus deppeana wood oil", "juniperus oxycedrus leaf oil", "juniperus sabina leaf", "juniperus sabina leafy twig extract", "juniperus virginiana allergenic extract", "juniperus virginiana oil", "juniperus virginiana twig extract", "justicia adhatoda leaf extract", "justicia gendarussa leaf extract", "jute fiber extract", "juvisync", "juxtapid", "k-dur", "k-lor", "k-lyte cl", "k-phos", "k-phos m.f.", "k-phos neutral", "k-phos no 2", "k-tab", "k-vescent", "kadcyla", "kadian", "kaempferia galanga root extract", "kaempferia galanga whole extract", "kakadu plum extract", "kalanchoe daigremontiana leaf extract", "kalanchoe pinnata leaf extract", "kalbitor", "kale extract", "kaletra", "kalmia angustifolia leaf extract", "kalmia latifolia leaf", "kalopanax septemlobus bark extract", "kalydeco", "kamala extract", "kanamycin", "kanamycin a sulfate", "kanamycin sulfate", "kaolin", "kaolin / paregoric / pectin", "kaolin / pectin", "kaolin / salicylic acid", "kaolin light", "kaopectate", "kaopectate reformulated aug 2006", "kaopectate stool softener", "kapok tree fiber extract", "kappaphycus alvarezii extract", "kapvay", "kapvay extended release oral tablet dose pack", "karaya gum", "karaya gum allergenic extract", "karaya gum extract", "karbinal", "kariva 28 day pack", "karum seed oil", "katinko", "kava preparation", "kava preparation / passion flower extract / valerian root extract", "kava root", "kayexalate", "kazano", "kbrovet", "kcentra", "kcl-40", "kebuzone", "kedbumin", "keepan", "keflex", "kelnor 1/35 28 day pack", "kelp preparation", "kelp preparation / vitamin a", "kelp preparation / vitamin b6", "kemstro", "kenalog", "kengreal", "kenocidin", "kentucky bluegrass pollen extract", "kentucky bluegrass pollen extract / orchard grass pollen extract / perennial rye grass pollen extract / sweet vernal grass pollen extract / timothy grass pollen extract", "kepivance", "keppra", "kera nail", "kera-42", "kera-hc", "keracyanin", "keracyanin chloride", "kerafoam", "keralac", "keralyt", "keralyt 5", "keralyt 6 % scalp complete kit", "kerasal al", "kerasal exfoliating foot moisturizer therapy", "kerasal neurocream", "kerasal pain", "kerasal toe & foot", "keratolux", "kerlone", "kerosene", "kerydin", "ketacine", "ketaject", "ketalar", "ketamine", "ketamine hydrochloride", "ketanserin", "ketaset", "ketathesia", "ketaved", "ketazolam", "ketek", "ketochlor", "ketoconazole", "ketoconazole / lactate / salicylic acid", "ketoconazole / phytosphingosine", "ketoconazole / secnidazole", "ketodan", "ketofen", "ketoprofen", "ketoprofen / lidocaine", "ketoprofen lysine", "ketorolac", "ketorolac / phenylephrine", "ketorolac tromethamine", "ketoseb ps", "ketotifen", "ketotifen / theophylline", "ketotifen fumarate", "keveyis", "keystone", "keytruda", "kgs hc", "khaya senegalensis bark extract", "khedezla", "khellin", "khuskia oryzae allergenic extract", "kid's choice", "kidney bean allergenic extract", "kids-eeze allergy", "kids-eeze chest relief", "kids-eeze cough & cold", "kigelia africana fruit extract", "killitch", "kimidess 28 day pack", "kinerase", "kineret", "kineticream", "kinetin", "kinevac", "kininogenase", "kinlytic", "kinrix", "kionex", "kitabis", "kiwi fruit allergenic extract", "kiwi fruit extract", "kiwi seed oil", "kjellmaniella gyrata preparation", "klaron", "klebsiella pneumoniae", "kleer plex", "KlonoPIN", "klor-con", "klor-con/ef", "koate", "koelers grass pollen extract", "kofal-t", "kogenate", "kojic acid", "kojic dipalmitate", "kola-pectin", "koldets cough drop", "kolephrin gg/dm", "kolorz", "kombiglyze", "kondremul plain", "konjac mannan", "konsyl", "konsyl fiber", "konsyl senna prompt", "kool comfort", "kopertox", "korean ginseng preparation", "korean ginseng preparation / siberian ginseng preparation / vitamin b 12", "korean ginseng root", "korean ginseng root extract", "korlym", "kovia", "krameria lappacea root extract", "krameria lappacea whole extract", "krill oil", "kristalose", "krystexxa", "kukui nut extract", "kukui nut oil", "kuric", "kurvelo 28 day pack", "kutkit styps", "kuvan", "kwai", "kybella", "kynamro", "kyprolis", "kytril", "l-erythrulose", "l-formula", "l-lactate", "l-methionine-s,r-sulfoximine", "l-methylfolate", "l1 protein, human papillomavirus type 11 vaccine", "l1 protein, human papillomavirus type 11 vaccine / l1 protein, human papillomavirus type 16 vaccine / l1 protein, human papillomavirus type 18 vaccine / l1 protein, human papillomavirus type 31 vaccine / l1 protein, human papillomavirus type 33 vaccine / l1 protein, human papillomavirus type 45 vaccine / l1 protein, human papillomavirus type 52 vaccine / l1 protein, human papillomavirus type 58 vaccine / l1 protein, human papillomavirus type 6 vaccine", "l1 protein, human papillomavirus type 11 vaccine / l1 protein, human papillomavirus type 16 vaccine / l1 protein, human papillomavirus type 18 vaccine / l1 protein, human papillomavirus type 6 vaccine", "l1 protein, human papillomavirus type 16 vaccine", "l1 protein, human papillomavirus type 16 vaccine / l1 protein, human papillomavirus type 18 vaccine", "l1 protein, human papillomavirus type 18", "l1 protein, human papillomavirus type 18 vaccine", "l1 protein, human papillomavirus type 31 vaccine", "l1 protein, human papillomavirus type 33 vaccine", "l1 protein, human papillomavirus type 45 vaccine", "l1 protein, human papillomavirus type 52 vaccine", "l1 protein, human papillomavirus type 58 vaccine", "l1 protein, human papillomavirus type 6", "l1 protein, human papillomavirus type 6 vaccine", "labetalol", "labetalol hydrochloride", "lac-dose", "lac-hydrin", "lac-hydrin ten", "lachesine", "lachesine chloride", "lachesis muta venom", "lachesis muta whole extract", "lachnanthes caroliniana extract", "lacidipine", "laclotion", "lacosamide", "lacrisert", "lactaid", "lactarius indigo whole extract", "lactase", "lactase / lactobacillus acidophilus", "lactase / rennet", "lactate", "lactate / nonoxynol-9", "lactate / pepsin a", "lactate / phenol / salicylic acid", "lactate / pramoxine", "lactate / pyrrolidonecarboxylic acid / urea", "lactate / resorcinol / salicylic acid", "lactate / salicylic acid", "lactate / urea", "lactate / zinc gluconate", "lactic acid", "lacticare", "lactinol", "lactitol", "lactitol monohydrate", "lactobacillus", "lactobacillus acidophilus", "lactobacillus acidophilus / lactobacillus bifidus", "lactobacillus acidophilus / lactobacillus bulgaricus", "lactobacillus acidophilus / lactobacillus sp", "lactobacillus acidophilus / lactobacillus sporogenes", "lactobacillus acidophilus / pectin", "lactobacillus acidophilus / plantago seed", "lactobacillus bifidus", "lactobacillus bulgaricus", "lactobacillus casei", "lactobacillus casei ke-99", "lactobacillus casei rhamnosus", "lactobacillus helveticus", "lactobacillus plantarum", "lactobacillus reuteri", "lactobacillus reuteri / lactobacillus rhamnosus gg", "lactobacillus rhamnosus gg", "lactobacillus sp", "lactobacillus sporogenes", "lactobionate", "lactobionic acid", "lactococcus lactis immunoserum rabbit", "lactoferrin", "lactoferrin, bovine", "lactoperoxidase", "lactose", "lactose / magnesium phosphate", "lactose / saccharomyces boulardii lyo", "lactose monohydrate", "lactose, x-ray exposed (1000 rad)", "lactrase", "lactuca virosa extract", "lactuca virosa leaf extract", "lactulose", "lagerstroemia indica extract", "lagicam", "laidlomycin", "laidlomycin propionate", "laidlomycin propionate potassium", "lamb allergenic extract", "lamb preparation", "lambs quarters pollen extract", "LaMICtal", "LaMICtal Blue (For Patients Taking Valproate)", "LaMICtal Green Kit (For Patients Taking carBAMazepine, Phenytoin, PHENobarbital, Primidone, or Rifampin and Not Taking Valproate)", "LaMICtal ODT Blue Patient Titration Kit (for Patients Taking Valproate)", "LaMICtal ODT Green Titration Kit (for Patients Taking Enzyme-Inducing Drugs and Not Taking Valproate)", "LaMICtal ODT Orange Patient Titration Kit (For Patients Not Taking Enzyme-Inducing Drugs or Valproate)", "LaMICtal Orange (For Patients Not Taking carBAMazepine, Phenytoin, PHENobarbital, Primidone, or Rifampin and Not Taking Valproate)", "LaMICtal XR Blue Patient Titration Kit", "LaMICtal XR Green Patient Titration Kit", "LaMICtal XR Orange Patient Titration Kit (for Patients Not Taking carBAMazepine, Phenytoin, PHENobarbital, Primidone, or Valproate)", "laminaria angustata extract", "laminaria digitata hydrolized alginic acid", "laminaria digitata preparation", "laminaria japonica extract", "laminaria ochroleuca extract", "LamISIL", "LamISIL Defense", "lamium album extract", "lamium album flower extract", "lamiVUDine", "lamiVUDine / Nevirapine / Stavudine", "lamiVUDine / Nevirapine / Zidovudine", "lamiVUDine / Stavudine", "lamiVUDine / Zidovudine", "lamoTRIgine", "lamoTRIgine Blue (For Patients Taking Valproate)", "lamoTRIgine Green (For Patients Taking carBAMazepine, Phenytoin, PHENobarbital, Primidone, or Rifampin and Not Taking Valproate)", "lamprene", "lamprocapnos spectabilis flower extract", "lanabiotic", "lanacane", "lanashield", "lanatoside c", "lanolin", "lanolin / mineral oil", "lanolin / mineral oil / petrolatum", "lanolin / petrolatum", "lanolin / petrolatum / zinc oxide", "lanolin / silicones", "lanolin / zinc oxide", "lanolin alcohols", "lanolin oil", "lanosterol", "lanosteryl stearate", "lanoxicaps", "lanoxin", "lanreotide", "lanreotide acetate", "lansinoh", "lansinoh baby", "lansoprazole", "lanthanum", "lanthanum carbonate", "lanthanum cation (3+)", "lanthanum chloride", "lanthanum oxide", "lantiseptic", "lantiseptic multi-purpose", "lantus", "lapatinib", "lapatinib ditosylate", "laponite", "lapsana communis flowering top extract", "lapsana communis whole extract", "lapyrium", "largemouth bass allergenic extract", "lariam", "laricifomes officinalis fruiting body extract", "laricifomes officinalis whole extract", "larin 1.5/30 21 day pack", "larin 1/20 21 day pack", "larin 24 fe 1/20 28 day pack", "larin fe 1.5/30 28 day pack", "larin fe 1/20 28 day pack", "larix decidua flowering top extract", "larix decidua resin extract", "larix decidua whole extract", "larix sibirica wood extract", "laronidase", "larrea divaricata leaf extract", "larrea tridenta top extract", "larrea tridentata whole extract", "laryng-o-jet", "lasalocid", "lasalocid sodium", "lasix", "lastacaft", "latanoprost", "latanoprost / timolol", "latex", "lathyrus odoratus flower extract", "lathyrus sativas seed extract", "latisse", "latrix", "latrodectus mactans antivenin", "latuda", "lauramide", "lauramidopropyl betaine", "lauramidopropyl dimethylamine", "lauramidopropyl hydroxysultaine", "lauramidopropylamine oxide", "lauramine oxide", "laurate", "laureth sulfosuccinate", "laureth-10", "laureth-12", "laureth-2", "laureth-2 sulfate", "laureth-23", "laureth-3", "laureth-30", "laureth-4", "laureth-7", "laureth-9", "laureth-9 / mepivacaine", "laureth-9 / oleate", "laureth-9 / prednisoLONE / Promethazine", "laureth-9 / urea", "laureth-9 / zinc oxide", "lauric acid", "lauric acid diethanolamide", "lauric acid methyl ester", "lauroamphoacetate", "lauroamphodiacetate", "laurocapram", "lauromacrogols", "lauromacrogols / soybean oil", "lauromacrogols / urea", "lauroyl aspartate", "lauroyl glutamate", "lauroyl isethionate", "lauroyl lactylate", "lauroyl lysine", "lauroyl peg-32 glycerides", "lauroyl sarcosinate", "laurtrimonium", "laurtrimonium chloride", "laurus nobilis whole extract", "lauryl aldehyde", "lauryl aminopropylglycine", "lauryl betaine", "lauryl glucoside", "lauryl glycol hydroxypropyl ether", "lauryl laurate", "lauryl methacrylate - glycol dimethacrylate crosspolymer", "lauryl pca", "lauryl peg-9 polydimethylsiloxyethyl dimethicone", "lauryl peg-ppg-18-18 methicone", "lauryl pyrrolidone", "lauryl sarcosinate", "lauryl sulfosuccinate", "lauryl trisiloxane", "lauryl-myristyl benzoate", "lavandin oil", "lavandula angustifolia flower extract", "lavandula angustifolia whole extract", "lavandula dentata whole extract", "lavandula stoechas flowering top extract", "lavandula stoechas whole extract", "lavender extract", "lavender oil", "laviv", "lawsonia inermis flowering top extract", "lawsonia inermis leaf extract", "lawsonia inermis whole extract", "laxmar", "layolis fe 28 day pack", "lazanda", "lazerformalyde", "lead", "lead acetate", "lead acetate anhydrous", "lead carbonate", "lead diphosphate", "lead iodide preparation", "lead monosilicate", "lead sulfide", "lead tetroxide", "lecithin", "lecithin / phosphatidylethanolamines / phosphatidylinositols", "lecithin / vitamin a / vitamin e", "lecithin-softgels", "ledikite", "ledipasvir", "ledipasvir / sofosbuvir", "ledum palustre twig extract", "ledum palustre whole extract", "leek allergenic extract", "leena 28 day pack", "leflunomide", "leg-gesic", "legacy", "legatrin pm", "legend", "legend teat dip", "legend-hc teat dip", "legionella pneumophila", "legume preparation", "lemna minor extract", "lemon allergenic extract", "lemon balm oil", "lemon extract", "lemon juice", "lemon myrtle leaf oil", "lemon oil", "lemon oil, terpeneless", "lemon peel extract", "lemon peel wax", "lemtrada", "lenalidomide", "lenograstim", "lens culinaris fruit extract", "lens scale pollen extract", "lente insulin, beef", "lente insulin, beef-pork", "lentil allergenic extract", "lentil seed extract", "lentinula edodes mycelium extract", "lentinula edodes whole extract", "lenvatinib", "lenvatinib 10 mg daily dose 30 day supply pack", "lenvatinib 14 mg (as mesylate) daily dose 30 day supply pack", "lenvatinib 20 mg (as lenvatinib mesylate) daily dose 30 day supply pack", "lenvatinib 24 mg daily dose 30 day supply pack", "lenvatinib mesylate", "lenvima 10 mg daily dose 30 day supply pack", "lenvima 14 mg daily dose 30 day supply pack", "lenvima 20 mg (as lenvatinib mesylate) daily dose 30 day supply pack", "lenvima 24 mg (as lenvatinib mesylate) daily dose 30 day supply pack", "lenzagel", "lenzapatch", "leontopodium alpinum extract", "leontopodium alpinum flower extract", "leontopodium alpinum flowering top extract", "leontopodium nivale subsp. alpinum root extract", "leonurus cardiaca extract", "leonurus cardiaca flowering top extract", "lepidium meyenii root extract", "lepidium meyenii whole extract", "lepidium sativum leaf extract", "lepidium sativum seed extract", "lepirudin", "leptin", "leptin human", "leptospermum petersonii leaf oil extract", "lercanidipine", "lercanidipine hydrochloride", "lerosett", "lescol", "lespedeza capitata flowering top extract", "lesser galangal root extract", "lessina 21 day pack", "lessina 28 day pack", "let me clarify", "letairis", "lethechniq", "letosteine", "letrozole", "lettuce allergenic extract", "leucas cephalotes whole extract", "leucine", "leucine / phenylalanine", "leucoagaricus leucothites whole extract", "leucocyanidin", "leucojum aestivum bulb extract", "leucovorin", "leucovorin calcium", "leukeran", "leukine", "leuprolide", "leuprolide acetate", "leuprolide acetate 3.75 mg for depot suspension 1 ml prefilled syringe / 30 - norethindrone acetate 5 mg oral tablet (1-month kit)", "leuprolide acetate 7.5 mg for depot suspension per 1.5 ml prefilled syringe / 90 - norethindrone acetate 5 mg oral tablet (3 month kit)", "levacet", "levalbuterol", "levalbuterol hydrochloride", "levalbuterol tartrate", "levallorphan", "levallorphan tartrate", "levamisole", "levamisole hydrochloride", "levamisole phosphate", "levant cotton seed extract", "levant cottonseed oil", "levaquin", "levaquin leva pak", "levatol", "levbid", "level", "levemir", "leventa", "levETIRAcetam", "levisticum officinale leaf extract", "levisticum officinale root extract", "levitra", "levlen 28 day pack", "levlite 28 day pack", "levo-methamphetamine", "levo-t", "levobetaxolol", "levobetaxolol hydrochloride", "levobunolol", "levobunolol hydrochloride", "levobupivacaine", "levobupivacaine hydrochloride", "levocabastine", "levocabastine hydrochloride", "levOCARNitine", "levOCARNitine / picolinic acid", "levOCARNitine Fumarate", "levOCARNitine HYDROCHLORIDE", "levOCARNitine TARTRATE", "levocetirizine", "levocetirizine / loratadine", "levocetirizine dihydrochloride", "levocrine", "levodopa", "levofloxacin", "levofloxacin anhydrous", "levoleucovorin", "levoleucovorin calcium", "levoleucovorin calcium pentahydrate", "levomefolate", "levomefolate calcium", "levomefolate glucosamine", "levomefolate magnesium", "levomefolic acid", "levomenthol", "levomepromazine maleate", "levomethadone", "levomethadone hcl", "levomethadyl", "levomethadyl acetate hydrochloride", "levomilnacipran", "levomilnacipran hydrochloride", "levonest 28 day pack", "levonordefrin", "levonordefrin / mepivacaine", "levonorgestrel", "levonorgestrel / promestriene", "levophed", "levopropoxyphene", "levopropoxyphene napsylate", "levora 0.15/30 28 day pack", "levorotatory alkaloids of belladonna", "levorphanol", "levorphanol tartrate", "levosimendan", "levothroid", "levothyroxine sodium", "levothyroxine sodium anhydrous", "levoxyl", "levsin", "levulan", "levulinate", "levulinic acid", "lexapro", "lexinal", "lexiva", "lexxel", "lialda", "librax", "lice md", "lice-nil", "liceall", "lickables hairball relief", "lickables natural hairball relief", "licorice", "licorice / undecylenate", "licorice allergenic extract", "licorice extract", "licorice root extract", "lidamantle", "lidamantle hc", "lidamidine", "lidocaine", "lidocaine / lindane", "lidocaine / magnesium sulfate", "lidocaine / menthol", "lidocaine / menthol / methyl salicylate", "lidocaine / methyl salicylate / zinc oxide", "lidocaine / methylbenzethonium", "Lidocaine / methylPREDNISolone", "lidocaine / neomycin", "lidocaine / neomycin / polymyxin b", "lidocaine / nitromersol", "lidocaine / norepinephrine", "lidocaine / oxytetracycline", "lidocaine / phenol", "lidocaine / phenylbutazone", "lidocaine / phenylephrine", "lidocaine / polymyxin b", "lidocaine / povidone-iodine", "lidocaine / prilocaine", "lidocaine / rifamycin sv", "lidocaine / ruscogenin", "lidocaine / sodium chloride", "lidocaine / tetracaine", "lidocaine / triamcinolone", "lidocaine / tribenoside", "lidocaine / tyrothricin", "lidocaine / zinc oxide", "lidocaine / zinc sulfate", "lidocaine hydrochloride", "lidocaine hydrochloride anhydrous", "lidocream", "lidoderm", "lidoflazine", "lidoject", "lidopatch", "lidopen", "lidopro", "lidopro patch", "lidosite", "lidostat", "lidothol", "lidovir", "lidum", "light green sf yellowish", "lignospan", "ligusticum porteri root extract", "ligusticum sinense root extract", "ligusticum sinense subsp. chuanxiong root extract", "ligusticum sinense susp. chuaxiong whole extract", "ligusticum tenuissimum leaf extract", "ligusticum tenuissimum root extract", "ligusticum wallichii root extract", "ligusticum wallichii whole extract", "lil goats zinc oxide", "liletta", "lilium candidum bulb extract", "lilium candidum flower extract", "lilium lancifolium bulb extract", "lilium lancifolium flowering top extract", "lilium lancifolium whole extract", "lilium lancifolium whole flowering extract", "lilium longiflorium", "lilium longiflorum bulb extract", "lima bean allergenic extract", "limbitrol", "lime (citrus) extract", "lime allergenic extract", "lime extract", "lime juice", "lime oil", "lime peel extract", "limnanthes alba whole extract", "limonen-10-ol, (+)-", "limonene", "limonene, ()-", "limonene, (+)-", "limonene, (+/-)-", "limonene, (-)-", "limonia acidissima wood extract", "limonium gerberi flowering top extract", "limonium gerberi whole extract", "limonium vulgare flowering top extract", "limulus polyphemus extract", "linaclotide", "linagliptin", "Linagliptin / metFORMIN", "linalool, ()-", "linalool, (+)-", "linalool, (+-)-", "linaria vulgaris extract", "lincobac", "lincocin", "lincomed", "lincomycin", "lincomycin / niacin", "lincomycin hydrochloride", "lindane", "linden leaf extract", "linden pollen extract", "lindera aggregata root extract", "lindera aggregata whole extract", "linezolid", "ling nam ultra balm", "ling preparation", "lingonberry extract", "lingonberry seed oil", "linoleamidopropyl dimethylamine", "linoleamidopropyl pg-dimonium", "linoleamidopropyl pg-dimonium chloride", "linoleamidopropyl pg-dimonium chloride phosphate", "linoleate", "linoleate / omega-3 acid ethyl esters (usp) / vitamin e", "linoleate / ricinoleate", "linoleate / sunflower seed oil", "linoleic acid", "linoleic acids, conjugated", "linolenate", "linolenic acid", "linseed oil", "linseed oil / soy protein isolate", "linseed oil / vitamin e", "linzess", "lioresal", "liothyronine sodium", "lipase", "lipase / simethicone", "lipegfilgrastim", "lipidro", "lipitor", "lipodox", "lipofen", "lipoflavovit", "liposyn ii", "liposyn iii", "lipotropic agents", "lippia citriodora flower extract", "lippia citriodora flowering top oil", "lippia citriodora leaf extract", "liptruzet", "liq-10", "liqsorb", "liquamycin", "liquefied petroleum gas", "liquefied phenol", "liqufruta", "liqui-vict 2x", "liquibid", "liquibid dr", "liquibid pdr", "liquibid-d", "liquibid-pd", "liquicet", "liquid co-q10", "liquid petroleum", "liquidambar formosana resin", "liquidambar orientalis resin", "liquidambar styraciflua resin", "liquimat", "liraglutide", "liriope muscari root extract", "lisdexamfetamine", "lisdexamfetamine dimesylate", "lisinopril", "lisinopril anhydrous", "listeria monocytogenes", "listerine", "listerine antiseptic", "listerine essential care tartar control", "lisuride", "lisuride maleate", "litchi chinensis seed extract", "litchi fruit extract", "lite 'n foamy", "lithane", "lithium", "lithium acetate", "lithium aspartate", "lithium benzoate", "lithium bromide", "lithium carbonate", "lithium carbonate / sodium chloride", "lithium cation", "lithium chloride", "lithium citrate", "lithium gluconate", "lithium hydrogen aspartate", "lithium hydroxide", "lithium hydroxide anhydrous", "lithium hydroxide monohydrate", "lithium orotate", "lithium succinate", "lithium succinate / zinc sulfate", "lithium sulfate", "lithobid", "lithospermum erythrorhizon root extract", "lithospermum officinale root extract", "lithostat", "litsea cubeba fruit extract", "litsea oil", "little colds mucus relief", "little fevers", "little noses", "little noses decongestant", "little ouchies", "little remedies for colds decongestant plus cough", "little tummys", "little tummys laxative drops", "littleseed canary grass pollen extract", "livalo", "live oak pollen extract", "liver derivative complex", "liver extract", "liver stomach concentrate", "liver,desiccated", "LIVER,DESICCATED / PHENobarbital", "livostin", "lixisenatide", "lmx", "lo loestrin fe 28 day pack", "lo minastrin fe 28 day pack", "lo/ovral 28 day pack", "lobaria pulmonaria extract", "lobelia cardinalis extract", "lobelia inflata preparation", "lobelia spicata leaf extract", "lobeline", "loblolly pine pollen extract", "lobster allergenic extract", "locoid", "locust bean gum extract", "lodgepole pine pollen extract", "lodgepole pine pollen extract / yellow pine pollen extract", "lodine", "lodosyn", "lodoxamide", "lodoxamide tromethamine", "lodrane", "lodrane d", "loestrin 1.5/30 21 day pack", "loestrin 1/20 21 day pack", "loestrin 24 fe 28 day pack", "loestrin fe 1.5/30 28 day pack", "loestrin fe 1/20 28 day pack", "lofepramine", "lofepramine hydrochloride", "lofexidine", "lofexidine hydrochloride", "lofibra", "lokara", "lolium perenne allergenic extract", "lolium temulentum top extract", "lomatium dissectum root extract", "lomatium dissectum whole extract", "lombard poplar pollen extract", "lombard poplar pollen extract / white poplar pollen extract", "lomedia 24 fe 28-day kit", "lomefloxacin", "lomefloxacin hydrochloride", "lomifylline", "lomitapide", "lomitapide mesylate", "lomocot", "lomotil", "lomustine", "lonazolac", "lonazolac calcium salt", "long pepper extract", "longleaf pine pollen extract", "longrange", "lonicera caprifolium flower extract", "lonicera caprifolium flowering top extract", "lonicera confusa flower extract", "lonicera confusa whole extract", "lonicera dasystyla flower bud extract", "lonicera japonica flower extract", "lonicera japonica top extract", "lonicera periclymenum flowering twig extract", "lonicera xylosteum fruit extract", "lonox", "lonsurf", "loperamide", "loperamide / neomycin", "loperamide / phthalylsulfacetamide / phthalylsulfathiazole", "loperamide / simethicone", "loperamide hydrochloride", "lophatherum gracile leaf extract", "lophatherum gracile whole extract", "lophophora williamsii flower extract", "lophophytum leandrii extract", "lopid", "lopinavir", "lopinavir / ritonavir", "loprazolam mesylate", "lopreeza 0.5/0.1 28 day pack", "lopreeza 1/0.5 28 day pack", "lopressor", "lopressor hct", "loprox", "loracarbef", "loradamed", "loratadine", "loratadine / povidone", "loratadine / pseudoephedrine", "LORazepam", "lorcaserin", "lorcaserin hydrochloride", "lorcaserin hydrochloride hemihydrate", "lorcet", "loris", "lormetazepam", "lornoxicam", "lortab", "lortuss ex", "lortuss lq", "loryna 28 day pack", "lorzone", "losartan", "losartan potassium", "loseasonique 91 tablet pack", "lotemax", "lotensin", "lotensin hct", "loteprednol", "loteprednol etabonate", "loteprednol etabonate / tobramycin", "lotrel", "lotrimin", "lotrimin af", "lotrimin ultra", "lotrisone", "lotronex", "lotus corniculatus flower volatile oil", "lovage oil", "lovastatin", "lovastatin / niacin", "lovaza", "lovenox", "loving lotion", "low-density polyethylene", "low-ogestrel 28 day pack", "lowbush blueberry extract", "lowbush blueberry juice", "lowsium", "loxapine", "loxapine hydrochloride", "loxapine succinate", "loxicom", "loxitane", "loxoprofen", "loxoprofen sodium dihydrate", "loxosceles reclusa preparation", "lozol", "lta", "lubiprostone", "lubriderm intense skin repair", "lubrifresh p.m.", "lucentis", "lucinactant", "lucky super soft", "luden's", "luden's drops", "ludent", "luesinum", "lufenuron", "lufenuron / milbemycin oxime", "lufenuron / milbemycin oxime / praziquantel", "luffa acutangula fruit extract", "luffa aegyptiaca seed oil", "luffa operculata fruit extract", "luffa operculata whole extract", "lufyllin", "luliconazole", "lumacaftor", "lumefantrine", "lumicain", "lumigan", "luminal", "lumizyme", "lunesta", "lupaneta pack 11.25 mg 3-month", "lupaneta pack 3.75 mg 1-month", "lupinus albus seed extract", "lupron", "lurasidone", "lurasidone hydrochloride", "lusair", "lusedra", "lusonal", "lusonex", "lustra", "lutalyse", "lutein", "lutein / omega-3 acid ethyl esters (usp) / zeaxanthin", "lutein / vitamin e / zeaxanthin", "lutein / zeaxanthin", "lutein esters", "luteinizing hormone", "lutera 28 day pack", "lutetium", "lutrelin", "lutropin alfa", "luvena feminine wipes", "luvox", "luxiq", "luzu", "lyapolate", "lyapolate / niacin", "lybrel (ethinyl estradiol 20 mcg / levonorgestrel 90 mcg oral tablet) 28 day pack", "lycium barbarum fruit extract", "lycium chinense fruit extract", "lycium chinense root bark extract", "lycopene", "lycopene / vitamin e", "lycoperdon utriforme fruiting body extract", "lycopodium clavatum preparation", "lycopodium clavatum spore extract", "lycopodium clavatum whole extract", "lycopodium complanatum spore extract", "lycopodium complanatum whole extract", "lycopus virginicus extract", "lycosa tarantula preparation", "lyme disease vaccine", "lymecycline", "lymphocyte immune globulin", "lymphocyte immune globulin, anti-thymocyte globulin", "lymphocyte immune globulin, rabbit", "lynestrenol", "lynparza", "lypressin", "lypsyl", "lyral", "lyrica", "lysimachia nummularia extract", "lysimax", "lysine", "lysine / niacinamide / thiamine", "lysine / phenylalanine", "lysine / potassium bicarbonate / potassium chloride", "lysine / proline", "lysine / zinc oxide", "lysine acetate", "lysine clonixinate", "lysine hydrochloride", "lysine monohydrate", "lysine thiazolidine carboxylate", "lysodren", "lysol healthy touch", "lysol no-touch hand soap", "lysol touch of foam", "lysozyme", "lysozyme hydrochloride", "lysozyme, chicken egg white", "lysteda", "lytta vesicatoria preparation", "lyza 28 day pack", "m-clear wc", "m-end max d", "m-end pe", "m-end wc", "m-m-r ii", "m-phenylenediamine", "maackia floribunda stem extract", "maalox", "maalox antacid barrier", "maalox children's", "maalox junior plus antigas", "maalox max", "maalox max quick dissolve", "maalox plus", "maalox quick dissolve", "maalox quick dissolve maximum strength", "maalox total stomach relief", "maca preparation", "macadamia nut allergenic extract", "macadamia oil", "macadamia seed oil glycereth-8 esters", "macerrx", "machilus thunbergii bark extract", "macitentan", "mackerel allergenic extract", "maclura tricuspidata whole extract", "macrobid", "macrocystis pyrifera extract", "macrodantin", "macugen", "macuvite with lutein", "madecassic acid", "madecassoside", "mafenide", "mafenide acetate", "mag 64", "mag-delay", "mag-g", "mag-ox 400", "mag-tab sr", "magadi soda", "magaldrate", "magaldrate / simethicone", "maggel", "maginex", "maginex ds", "magmex", "magmilax", "magnebind 250/300", "magnebind 400 rx", "magnesium", "magnesium acetate", "magnesium acetate / potassium acetate / sodium chloride", "magnesium acetate tetrahydrate", "magnesium aluminometasilicate type i-a", "magnesium aluminometasilicate type i-b", "magnesium amino acid chelate", "magnesium ascorbate", "magnesium ascorbyl phosphate", "magnesium asparaginate", "magnesium aspartate", "magnesium aspartate / potassium aspartate", "magnesium carbonate", "magnesium carbonate / magnesium oxide", "magnesium carbonate / sodium bicarbonate", "magnesium carbonate hydroxide", "magnesium cation", "magnesium chlorate", "magnesium chloride", "magnesium chloride / potassium chloride / potassium phosphate / sodium acetate / sodium chloride / sodium gluconate / sodium phosphate, dibasic", "magnesium chloride / potassium chloride / sodium acetate / sodium chloride / sodium gluconate", "magnesium chloride / sodium bicarbonate / sodium chloride", "magnesium chloride / sodium chloride", "magnesium chloride / tubocurarine", "magnesium chloride anhydrous", "magnesium chloride hexahydrate", "magnesium citrate", "magnesium citrate / magnesium gluconate", "magnesium citrate / magnesium oxide / potassium citrate / pyridoxine", "magnesium citrate / magnesium phosphate", "magnesium citrate / potassium citrate", "magnesium citrate / simethicone", "magnesium disodium edta", "magnesium fluoride", "magnesium gluconate", "magnesium gluconate / magnesium oxide", "magnesium gluconate / potassium tartrate", "magnesium gluconogluceptate", "magnesium glutamate", "magnesium glycinate", "magnesium hydroxide", "magnesium hydroxide / malic acid", "magnesium hydroxide / mineral oil", "magnesium hydroxide / omeprazole / sodium bicarbonate", "magnesium hydroxide / simethicone", "magnesium l-threonate", "magnesium lactate", "magnesium lactate / vitamin b6", "magnesium lactate / vitamin e", "magnesium lauryl sulfate", "magnesium malate", "magnesium malate / malic acid / vitamin b6", "magnesium myristate", "magnesium nitrate", "magnesium orotate", "magnesium oxide", "magnesium oxide / magnesium sulfate", "magnesium oxide / pyridoxine", "magnesium oxide / sodium bicarbonate", "magnesium oxide / vitamin b6", "magnesium oxide / vitamin b6 / vitamin e", "magnesium oxide / vitamin e", "magnesium oxide / zinc oxide", "magnesium palmitate", "magnesium peroxide", "magnesium phosphate", "magnesium phosphate anhydrous", "magnesium phosphate dibasic trihydrate", "magnesium phosphate, dibasic", "magnesium phosphate, monobasic, dihydrate", "magnesium phosphate, tribasic, pentahydrate", "magnesium pidolate", "magnesium salicylate", "magnesium salicylate / phenyltoloxamine", "magnesium salicylate tetrahydrate", "magnesium salt", "magnesium silicate", "magnesium stearate", "magnesium sulfate", "magnesium sulfate / peptones", "magnesium sulfate / phenolphthalein", "magnesium sulfate / potassium chloride / potassium phosphate / sodium chloride / sodium phosphate dihydrate", "magnesium sulfate / potassium chloride / potassium phosphate / sodium chloride / sodium phosphate, dibasic", "magnesium sulfate / potassium sulfate / sodium sulfate", "magnesium sulfate anhydrous", "magnesium sulfate heptahydrate", "magnesium sulfate monohydrate", "magnesium tartrate", "magnesium thiosulfate", "magnesium thiosulfate / sodium thiosulfate", "magnesium trisilicate", "magnesium valproate", "magnesium, chelated", "magnolia acuminata flower extract", "magnolia biondii bark extract", "magnolia biondii flower extract", "magnolia grandiflora bark extract", "magnolia grandiflora flower extract", "magnolia grandiflora leaf extract", "magnolia kobus bark extract", "magnolia liliiflora flower extract", "magnolia obovata bark extract", "magnolia officinalis bark extract", "magnolia officinalis flower extract", "magnolia virginiana flower extract", "magnolia x alba flower oil", "magonate", "magtrate", "mahonia aquifolium fruiting top extract", "mahonia aquifolium root bark extract", "mahonia aquifolium root extract", "mahonia aquifolium whole extract", "maitake extract", "makena", "mal-a-ket", "malachite green", "Malachite green / metroNIDAZOLE / microcrystalline cellulose / Trichlorfon", "malachite green cation", "malachite green oxalate", "malarial plasmodium group immunoserum rabbit", "malarone", "malaseb", "malate", "malathion", "maldemar", "maldroxal", "maldroxal maximum strength", "maleate", "maleic acid", "maleic anhydride", "malic acid", "malic acid / xylitol", "malic acid, l-", "mallotus japonicus flower oil", "malondialdehyde", "malotic", "malpighia emarginata seed extract", "malpighia glabra fruit extract", "malt extract", "malt soup extract", "malt soup extract / psyllium", "maltitol", "maltodextrin", "maltol", "maltose", "maltose monohydrate", "maltose syrup", "malus domestica flower extract", "malus domestica whole extract", "malus sylvestris flower extract", "malva sylvestris flower extract", "malva sylvestris flowering top extract", "malva sylvestris leaf extract", "malva sylvestris seed extract", "malvin", "mammal bone, fossilized", "mammal liver preparation", "mandarin oil", "mandelay", "mandelic acid", "mandragora officinarum preparation", "mandragora officinarum root extract", "mane 'n tail daily control", "mane 'n tail mineral ice", "mane 'n tail pro-tect", "mangafodipir", "mangafodipir trisodium, anhydrous", "manganese", "manganese acetate", "manganese acetate tetrahydrate", "manganese aspartate", "manganese carbonate", "manganese cation (2+)", "manganese chloride", "manganese citrate", "manganese dioxide", "manganese gluconate", "manganese pca", "manganese phosphate", "manganese pyrophosphate", "manganese sulfate", "manganese violet", "mangifera indica seed butter extract", "mangifera indica seed extract", "mangiferin", "mango allergenic extract", "mango blossom pollen extract", "mango extract", "mango juice", "mango seed oil", "manidipine", "manidipine hcl", "manihot esculenta root extract", "mannitol", "mannitol / mecobalamin", "Mannitol / PHENobarbital", "mannitol / sorbitol", "mannitol hexanitrate", "mannose", "mansoa alliacea bark extract", "mansoa alliacea leaf extract", "manuka oil", "manzatin-e", "mapap", "mapap pm", "mapap sinus congestion and pain", "maple leaf sycamore pollen extract", "maprotiline", "maprotiline hydrochloride", "maprotiline mesylate", "mar-cof bp", "mar-cof cg", "maracyn", "maracyn plus", "maranta arundinacea root extract", "marathon pain relief", "maraviroc", "marbofloxacin", "marcaine", "Marcaine with EPINEPHrine", "marezine", "margesic", "marinol", "maritime pine extract", "marlexate", "marlissa 28 day pack", "maropitant", "maropitant citrate", "marplan", "marqibo", "marquis", "marrubium vulgare extract", "marsdenia condurango bark extract", "marten-tab", "masanti", "masoprocol", "masti-clear", "mastic dent", "mastocarpus stellatus extract", "mata balm", "matricaria chamomilla flowering top oil", "matricaria chamomilla whole extract", "matricaria recutita extract", "matricaria recutita flowering top extract", "matricaria recutita leaf extract", "matricaria recutita root extract", "matrix", "matulane", "matzim", "mauritia flexuosa fruit oil", "mauritia flexuosa whole extract", "mavik", "max lax", "max revive", "max-freeze", "maxair", "maxalt", "maxaquin", "maxi-tuss hc", "maxichlor", "maxichlor peh", "maxichlor pse", "maxidex", "maxidone", "maxifed cd", "maxifed reformulated jul 2008", "maxifed-g cd", "maxifed-g reformulated jul 2008", "maxiflu cd", "maximum d3", "maximum strength mylanta gas", "maximum-h", "maxiphen cd", "maxiphen cdx", "maxiphen reformulated jul 2008", "maxipime", "maxitrol", "maxivision lutein formula", "maxzide", "mazindol", "mazindol / tiratricol", "meadow brome pollen extract", "meadow fescue grass pollen extract", "meadow foxtail pollen extract", "meadowfoam oil", "meadowfoam seed oil fatty acids", "meadowfoamamidopropyl betaine", "measles vaccine", "measles vaccine / mumps vaccine", "measles virus preparation", "measles virus vaccine live, enders' attenuated edmonston strain", "measles virus vaccine live, enders' attenuated edmonston strain / mumps virus vaccine live, jeryl lynn strain / rubella virus vaccine live (wistar ra 27-3 strain)", "measles virus vaccine live, enders' attenuated edmonston strain / mumps virus vaccine live, jeryl lynn strain / rubella virus vaccine live (wistar ra 27-3 strain) / varicella-zoster virus vaccine live (oka-merck) strain", "measles virus vaccine,live attenuated", "mebaral", "mebendazole", "mebendazole / niclosamide / tinidazole", "mebendazole / tinidazole", "mebeverine", "mebeverine hydrochloride", "mebhydrolin napadisylate", "mebhydroline", "mebrofenin", "mecamylamine", "mecamylamine hydrochloride", "mecasermin", "mecasermin rinfabate", "mechlorethamine", "Mechlorethamine / quiNINE / Terpin hydrate", "mechlorethamine / terpin hydrate", "mechlorethamine hydrochloride", "meclicot", "meclizine", "meclizine / niacin", "meclizine / vitamin b6", "meclizine hydrochloride", "meclocycline", "meclocycline sulfosalicylate", "meclofenamate", "meclofenamate sodium", "meclofenamic acid", "meclofenoxate", "meclofenoxate hydrochloride", "mecobalamin", "mecobalamin / vitamin b 12", "mecysteine", "mecysteine hydrochloride", "med-hist-hc", "med-i-san", "medactive rinse", "medazepam", "mederma advanced scar", "mederma pm", "mederma stretch mark therapy", "medetomidine", "medetomidine hydrochloride", "medi-derm", "medi-derm with lidocaine", "medi-lyte", "medi-scrub", "medibac clearing complex", "medicago sativa leaf extract", "medicaine sting", "medicone", "medicone hemorrhoidal", "medifoxamine", "medifoxamine fumarate", "medigesic", "medigoxin", "medihaler-epi", "medihaler-ergotamine", "medihaler-iso", "mediplast", "medisilke", "medispaz", "meditowel illuminating", "meditowel pain relief", "medium chain triglycerides", "medivert", "medorrhinum", "medrogestone", "medrol", "medrol dosepak", "medronate", "medronate disodium", "medronic acid", "medrox", "medroxyPROGESTERone", "medroxyPROGESTERone acetate", "medrysone", "mefenamate", "mefenamic acid", "mefenidramium", "mefenidramium methylsulfate", "mefenorex", "mefenorex hydrochloride", "mefloquine", "mefloquine hydrochloride", "mefoxin", "mefruside", "mefruside / methyldopa", "Mefruside / NIFEdipine", "mefruside / reserpine", "mega c acid plus", "megace", "megestrol", "megestrol acetate", "meglumine", "meglumine antimoniate", "meglumine benzoate", "meglumine benzoate / polysorbates", "meglumine iodamide", "meglumine iodipamide", "meglumine iotroxinate", "meglumine ioxithalamate", "mekinist", "melaleuca alternifolia flowering top extract", "melaleuca alternifolia leaf extract", "melaleuca alternifolia whole extract", "melaleuca ericifolia leaf oil", "melaleuca quinquenervia leaf oil", "melamin", "melamine", "melamix", "melanin synthetic (tyrosine, peroxide)", "melarsomine", "melarsomine dihydrochloride", "melatonex", "melatonin", "melatonin / pyridoxine", "melatonin / theanine", "melatonin / tryptophan", "melatonin / vitamin b 12", "melatonin / vitamin b6", "melengestrol", "melengestrol acetate", "melfiat", "melia azedarach bark extract", "melia azedarach fruit extract", "melia azedarach whole extract", "melia azederach leaf extract", "melicope pteleifolia leaf extract", "melilotus extract", "melilotus indicus whole extract", "melilotus officinalis top extract", "melissa officinalis extract", "melissa officinalis flowering top extract", "melissa officinalis leaf extract", "melissa officinalis leaf oil", "melitracen", "melitracen / periciazine", "melon extract", "meloxicam", "meloxidyl", "melpaque hp", "melphalan", "melphalan hydrochloride", "melquin hp", "melquin-3", "memantine", "memantine hcl 5 mg (28) / 10 mg (21) tablet titration pack", "memantine hydrochloride", "memantine hydrochloride titration pack 28; 7mg/14mg/21mg/28mg extended release oral capsule", "men-phor", "menactra", "menadiol", "menadiol phosphate", "menadiol sodium phosphate", "menadione sodium bisulfite", "menatetrenone", "mend19", "menest", "menfegol", "menhibrix", "meningitis vaccine", "meningococcal group a polysaccharide", "meningococcal group a polysaccharide / meningococcal group c polysaccharide", "meningococcal group a polysaccharide / meningococcal group c polysaccharide / meningococcal polysaccharide vaccine group w-135 / meningococcal polysaccharide vaccine group y", "meningococcal group b vaccine", "meningococcal group b vaccine / neisseria meningitidis serogroup b recombinant fhbp fusion protein antigen / neisseria meningitidis serogroup b recombinant nhba fusion protein antigen / neisseria meningitidis serogroup b strain nz98/254 outer membrane vesicle", "meningococcal group c polysaccharide", "meningococcal group c polysaccharide / meningococcal vaccine b", "meningococcal polysaccharide vaccine group w-135", "meningococcal polysaccharide vaccine group y", "meningococcal vaccine b", "menomune a/c/y/w-135", "menopur", "menostar", "menstridol", "mentadent", "mentax", "mentha aquatica leaf extract", "mentha arvensis flower oil", "mentha arvensis flowering top extract", "mentha arvensis leaf extract", "mentha arvensis leaf oil", "mentha arvensis top extract", "mentha arvensis whole extract", "mentha piperita extract", "mentha piperita leaf extract", "mentha pulegium extract", "mentha spicata extract", "mentha x rotundifolia leaf extract", "menthac arthritis cream with capsaicin", "menthol", "menthol / methyl salicylate", "menthol / methyl salicylate / methylnicotinate", "menthol / methyl salicylate / tourmaline", "menthol / pectin", "menthol / peppermint oil", "menthol / petrolatum", "menthol / petrolatum / pramoxine", "menthol / phenol", "menthol / pramoxine", "Menthol / prednisoLONE / Thymol", "menthol / salicylic acid", "menthol / selenium sulfide", "menthol / simethicone", "menthol / sodium chloride", "menthol / sulfur", "menthol / trolamine salicylate", "menthol / zinc oxide", "menthol / zinc pyrithione", "menthol 1-propylene glycol carbonate, (-)-", "menthol, (+)-", "mentholatum", "mentholatum for kids", "mentholatum pain relief", "mentholatum sports pain relief", "menthone 1,2-glycerol ketal, (-)-", "menthyl lactate", "menthyl pyrrolidone carboxylate, (-),dl-", "menthyl salicylate", "menveo", "menyanthes trifoliata extract", "menyanthes trifoliata leaf extract", "mepenzolate", "mepenzolate bromide", "meperidine", "meperidine / promethazine", "meperidine hydrochloride", "mephenesin", "mephenesin / phenylbutazone", "mephentermine", "mephentermine hcl", "mephentermine sulfate", "mephenytoin", "mephitis mephitis anal gland fluid preparation", "mephobarbital", "Mephobarbital / PHENobarbital / Phenytoin", "mephobarbital / phenytoin", "mephyton", "mepindolol", "mepindolol sulfate", "mepirodipine", "mepivacaine", "mepivacaine / norepinephrine", "mepivacaine hydrochloride", "mepolizumab", "meprednisone", "meprobamate", "meprobamate / pentaerythritol", "meprobamate / theophylline", "meprobamate / tridihexethyl", "meprobamate / trihexyphenidyl", "mepron", "meptazinol", "meptazinol hydrochloride", "mequinol", "mequinol / tretinoin", "mequitazine", "meradimate", "meradimate / titanium dioxide", "merbromin", "merbromin / penicillin g", "mercaptopurine", "mercaptopurine anhydrous", "mercurialis annua flowering top extract", "mercurialis perennis extract", "mercuric cation", "mercuric chloride", "mercuric cyanide", "mercuric iodide", "mercuric oxide", "mercuric oxide (purified)", "mercuric sulfate", "mercuric sulfide", "mercurius solubilis preparation", "mercuroclear", "mercurous iodide preparation", "mercury", "mercury, ammoniated", "mercury, ammoniated / salicylic acid", "mericaine reformulated oct 2015", "meridia", "meropenem", "meropenem anhydrous", "merrem", "mersalyl", "mersalyl / theophylline", "mesalamine", "mesantoin", "mesna", "mesnex", "mesophyllum lichenoides extract", "mesoridazine", "mesoridazine besylate", "mesquite pollen extract", "mesterolone", "mestinon", "mestranol", "mestranol / norethindrone", "mestranol / norethynodrel", "mesulfen", "mesylate", "metacam", "metaclazepam hydrochloride", "metacresol", "metadate", "metaflumizone", "metaglip", "metamizole sodium", "metamucil", "metamucil clear & natural", "metanil yellow", "metaproterenol", "metaproterenol sulfate", "metaraminol", "metaraminol bitartrate", "metasol", "metaxall", "metaxalone", "meted", "metenkefalin", "metergoline", "metFORMIN", "metFORMIN / pioglitazone", "metFORMIN / repaglinide", "metFORMIN / rOPINIRole", "metFORMIN / rosiglitazone", "metFORMIN / saxagliptin", "metFORMIN / sitaGLIPtin", "metFORMIN hydrochloride", "methacholine", "methacholine / methyl salicylate", "methacholine chloride", "methacrylate", "methacrylate-methoxy peg-10 maleate-styrene copolymer", "methacrylic acid", "methacrylic acid - ethyl acrylate copolymer (1:1) type a", "methacrylic acid - ethyl acrylate copolymer (4500 mpa.s)", "methacrylic acid - methyl methacrylate copolymer (1:1)", "methacrylic acid - methyl methacrylate copolymer (1:2)", "methacrylic acid copolymer", "methacycline", "methacycline / muramidase", "methacycline hydrochloride", "methadex", "methadone", "methadone hydrochloride", "methadose", "methadyl acetate", "methagual", "methamphetamine", "methamphetamine hydrochloride", "methampicillin", "methampicillin sodium", "methandriol", "methandriol dipropionate", "methandrostenolone", "methanesulfonic acid", "methanol", "methanolamine", "methantheline", "methantheline bromide", "methapyrilene", "methapyrilene / phenylephrine", "methapyrilene / pyrilamine", "methapyrilene hydrochloride", "methaqualone", "metharbital", "methazolamide", "methdilazine", "methdilazine hydrochloride", "methenamine", "methenamine / phenazopyridine", "methenamine / potassium phosphate", "methenamine / salicylic acid", "methenamine / sodium phosphate", "methenamine / sodium phosphate, monobasic", "methenamine / sulfur", "methenamine hippurate", "methenamine mandelate", "methenamine sulfosalicylate", "methenolone", "methenolone acetate", "methenolone enanthate", "methergine", "methicillin sodium", "methicone (20 cst)", "methimazole", "methio-form", "methionine", "methionine / silymarin", "methitest", "methixene", "methixene hydrochloride", "methocarbamol", "methocarbamol / methylnicotinate", "methohexital", "methohexital sodium", "methoserpidine", "methotrexate", "methotrexate sodium", "methotrimeprazine", "methotrimeprazine hydrochloride", "methoxamine", "methoxamine hydrochloride", "methoxsalen", "methoxy peg ppg-7-3 aminopropyl dimethicone", "methoxy polyethylene glycol-epoetin beta", "methoxyflurane", "methoxyphenamine", "methoxyphenamine hydrochloride", "methscopolamine", "methscopolamine / phenylephrine", "methscopolamine / pseudoephedrine", "methscopolamine nitrate", "methsuximide", "methyclothiazide", "methyclothiazide / pargyline", "methyclothiazide / reserpine", "methyclothiazide / triamterene", "methyl 2-sulfolaurate", "methyl 3-hydroxybenzoate", "methyl 5-aminolevulinate", "methyl acrylate", "methyl aminolevulinate hydrochloride", "methyl aminomethylcyclohexane carboxamide", "methyl aminomethylcyclohexane carboxamide hydrochloride", "methyl anthranilate", "methyl anthranilate / titanium dioxide", "methyl benzoate", "methyl benzoin", "methyl bromide", "methyl butetisalicylate", "methyl chloride", "methyl cinnamate", "methyl cocoyl taurate", "methyl diacetylcysteinate", "methyl dihydroabietate", "methyl dihydrojasmonate", "methyl dihydrojasmonate (synthetic)", "methyl diisopropyl propionamide", "methyl gluceth-10", "methyl gluceth-20", "methyl glucose dioleate", "methyl glucose sesquistearate", "methyl heptine carbonate", "methyl hydrogenated rosinate", "methyl isobutyl ketone", "methyl lactate", "methyl lactate, (+)-", "methyl lactate, l-", "methyl methacrylate-glycol dimethacrylate crosspolymer", "methyl orange", "methyl palmitate", "methyl perfluorobutyl ether", "methyl perfluoroisobutyl ether", "methyl propionate", "methyl ricinoleate", "methyl salicylate", "methyl salicylate / niacin", "methyl salicylate / turpentine", "methyl sorbate", "methyl stearate", "methyl stearic acid", "methyl trimethicone", "methyl undecenoyl leucinate", "methyl undecylenate", "methylbenzethonium", "methylbenzyl acetate", "methylbenzyl methylbenzimidazole piperidinylmethanone", "methylcellulose", "methylcellulose (100 cps)", "methylcellulose (15 cps)", "methylcellulose (1500 cps)", "methylcellulose (25 cps)", "methylcellulose (400 cps)", "methylcellulose (4000 cps)", "methyldibromo glutaronitrile", "methyldiethanolamine", "methyldopa", "methyldopa anhydrous", "methyldopate", "methyldopate hydrochloride", "methylene blue", "methylene blue / naphazoline", "methylene blue cation", "methylene chloride", "methylene diphosphonate", "methylenedioxycinnamic acid", "methylephedrine hydrochloride, dl-", "methylephedrine, dl-", "methylergonovine", "methylergonovine maleate", "methylesculetin acetate", "methylethyl ketone", "methyleugenol", "methylfolic acid", "methylhomatropine", "methylin", "methylinositol", "methylmethacrylate", "methylnaltrexone", "methylnaltrexone bromide", "methylnicotinate", "methylnicotinate / phenylbutazone / piperazine", "methylparaben", "methylparaben / propylparaben", "methylparaben sodium", "methylphenidate", "methylphenidate hydrochloride", "methylPREDNISolone", "methylPREDNISolone / Neomycin", "methylPREDNISolone 4 MG Oral Tablet 21 Count Pack", "methylPREDNISolone aceponate", "methylPREDNISolone acetate", "methylPREDNISolone sodium phosphate", "methylPREDNISolone Sodium Succinate", "methylpropanediol", "methylserine", "methylsilanol acetylmethionate", "methylsilanol ascorbate", "methylsulfonylmethane", "methylsulfonylmethane / molybdenum", "methylTESTOSTERone", "methylTESTOSTERone / Pemoline / yohimbine", "methyprylon", "methysergide", "methysergide maleate", "metimyd", "metipranolol", "metipranolol hydrochloride", "metoclopramide", "metoclopramide / pancreatin", "metoclopramide / pancreatin / pepsin a", "metoclopramide / pancreatin / simethicone", "metoclopramide / papain / simethicone", "metoclopramide / simethicone", "metoclopramide dihydrochloride", "metoclopramide hydrochloride", "metocurine", "metocurine iodide", "metolazone", "metolazone / triamterene", "metomidate", "metopimazine", "metopirone", "metoprolol", "Metoprolol / NIFEdipine", "metoprolol fumarate", "metoprolol succinate", "metoprolol tartrate", "metozolv", "metreleptin", "metricus paper wasp venom protein", "metrizamide", "metrocream", "metrogel", "metrolotion", "metroNIDAZOLE", "metroNIDAZOLE / Nystatin", "metroNIDAZOLE / Scopolamine", "metroNIDAZOLE / Spiramycin", "metroNIDAZOLE benzoate", "metroNIDAZOLE Hydrochloride", "metvixia", "metylperon", "metylperon hydrochloride", "metyrapone", "metyrapone tartrate", "metyrosine", "mevacor", "mevalonolactone", "mevalonolactone, (+/-)-", "mexar", "mexican tea pollen extract", "mexiletine", "mexiletine hydrochloride", "mexsana", "mezlocillin", "mezlocillin sodium", "mg 217 psoriasis", "mg plus protein", "mg217 psoriasis coal tar", "mi-acid", "mi-acid double strength", "mi-acid gas relief", "mi-omega", "miacalcin", "mianserin", "mianserin hydrochloride", "mibefradil", "mibefradil dihydrochloride", "mica", "micaderm", "micafungin", "micafungin sodium", "micanol", "micardis", "micardis-hct", "micatin", "micaved", "micon 7", "miconazole", "miconazole / petrolatum / zinc oxide", "Miconazole / Polymyxin B / prednisoLONE", "miconazole / salicylic acid", "miconazole / tinidazole", "miconazole / triclosan", "miconazole / zinc oxide", "miconazole 3 day (3 - 200 mg miconazole nitrate vaginal suppository / 9 gm miconazole nitrate 2 % topical vaginal cream)", "miconazole nitrate", "micort-hc", "micotil", "micrell", "micrhogam", "micro-guard", "micro-k", "microascus brevicaulis allergenic extract", "microcitrus australis fruit extract", "micrococcus luteus preparation", "microcrystalline cellulose", "microcrystalline wax", "microgestin 1.5/30 21 day pack", "microgestin 1/20 21 day pack", "microgestin 24 fe 1/20 28 day pack", "microgestin fe 1.5/30 28 day pack", "microgestin fe 1/20 28 day pack", "microlipid", "micronase", "micronomicin", "micronomicin sulfate", "microsporum audouinii allergenic extract", "microsporum canis allergenic extract", "microzide", "micrurus corallinus venom", "midamor", "midazolam", "midazolam hydrochloride", "midazolam maleate", "midecamycin", "midecamycin diacetate", "midodrine", "midodrine hydrochloride", "midol complete", "midol cramps & bodyaches", "midol extended relief", "midol maximum strength menstrual", "midol pm", "midol pm reformulated apr 2011", "midol pms maximum strength", "midol teen", "midrin", "mielim y mas", "mifeprex", "mifepristone", "migergot", "miglitol", "miglustat", "migralex", "migranal", "migratine", "mikania parviflora leaf extract", "milantex", "milbemite", "milbemycin oxime", "milbemycin oxime / spinosad", "mild silver protein", "milk fat, cow", "milk thistle extract", "milk thistle fruit", "milk thistle fruit / milk thistle fruit extract", "milk thistle fruit extract", "milk thistle leaf extract", "milk thistle seed", "milk thistle seed extract", "milkhouse brand sprayable chg teat dip", "milkhouse teat dip", "millet extract", "millet seed allergenic extract", "millipred", "millipred dp 12 day pack", "millipred dp 6 day dose pack", "milnacipran", "milnacipran hydrochloride", "milrinone", "milrinone lactate", "miltefosine", "mimosa pudica leaf extract", "mimosa tenuiflora bark extract", "mimulus guttatus flowering top extract", "mimvey 28 day pack", "mimvey lo 28 day pack", "minaprine", "minaprine hcl", "minastrin 24 fe chewable 28 day pack", "minaxolone", "mineral ice", "mineral oil", "mineral oil / mineral oil, light", "mineral oil / petrolatum", "mineral oil / petrolatum / phenylephrine", "mineral oil / petrolatum / phenylephrine / shark liver oil", "mineral oil / phenolphthalein", "mineral oil / pramoxine / zinc oxide", "mineral oil / propylene glycol / triethanolamine", "mineral oil, light", "mineral oil, light / petrolatum", "minica", "minidrops", "minipress", "miniprin", "minirin", "minitran", "minivelle", "minizide", "minocin", "minocycline", "minocycline hydrochloride", "minoxidil", "minoxidil sulfate", "minquartia guianensis bark extract", "mint extract", "mintox 24-day pack", "mintox plus", "miocamycin", "miochol", "miostat", "mipomersen", "mipomersen sodium", "mirabegron", "mirabilis jalapa flowering top extract", "mirabilis jalapa top extract", "miracle foot repair", "miracle rash repair", "miracle rub", "miralax", "miranol 2mht modified", "mirapex", "mircera", "mircette 28 day pack", "mirena", "miristalkonium", "miristalkonium chloride", "mirtazapine", "mirvaso", "misoprostol", "misoprostol / naproxen", "mitaban", "mite extract", "mitigare", "mitobronitol", "mitoMYcin", "mitosol", "mitotane", "mitoXANtrone", "mitoXANtrone Hydrochloride", "mitrazol", "mivacron", "mivacurium", "mivacurium chloride", "mixed vespid venom protein", "mizolastine", "moban", "mobic", "mobidin", "mobisyl", "moclobemide", "modafinil", "moderiba", "moderiba 1000 dose pack", "moderiba 1200 dose pack", "moderiba 600 dose pack", "moderiba 800 dose pack", "modicon 28 day pack", "modified corn starch (1-octenyl succinic anhydride)", "modified corn starch (3-e-docecenyl succinic anhydride)", "modified fluid gelatins", "moexipril", "moexipril hydrochloride", "moexiprilat", "mofebutazone", "mofezolac", "moisture eyes pm", "moisture-eyes", "moisturel", "moisturel therapeutic", "moistureworx", "molasses", "mold extract", "molecular af", "molgramostim", "molindone", "molindone hydrochloride", "mollifene", "molsidomine", "molybdate ion", "molybdenum", "molypen", "mometamax", "mometasone", "mometasone / salicylic acid", "mometasone furoate", "mometasone furoate monohydrate", "momordica balsamina immature fruit extract", "momordica charantia fruit extract", "momordica charantia whole extract", "momordica cochinchinensis seed extract", "momordicae", "monarch iodine", "monarch protek", "monarda didyma leaf extract", "monascus purpureus", "monascus purpureus west", "mondoxyne", "monensin", "mongolian gerbil skin allergenic extract", "monilia sitophila extract", "monistat", "monistat 3 vaginal cream and topical cream combination pack with prefilled applicators", "monistat 7 vaginal cream combination pack with prefilled applicators", "monistat itch relief", "monistat simple therapy", "monistat soothing care", "mono-linyah 28 day pack", "monobasic potassium phosphate", "monobasic sodium phosphate, dihydrate", "monobenzone", "monocal", "monoclate", "monodox", "monoethanolamine lauryl sulfate", "monoethyl fumarate", "monofluorophosphate", "monofluorophosphate / potassium nitrate", "monofluorophosphate / potassium nitrate / zinc citrate", "monofluorophosphate / silicon dioxide", "monofluorophosphate / sodium fluoride", "monofluorophosphate ion", "monoket", "monomenthyl glutarate", "monomethyl fumarate", "mononessa 28 day pack", "mononine", "monooctanoin", "monoolein", "monophosphoryl lipid a", "monopril", "monosodium ethylenediaminetetraacetate", "monosodium glutamate anhydrous", "monosodium methylarsonate", "monostearyl citrate", "monosulfiram", "monovisc", "montelukast", "montelukast sodium", "montmorrillonite", "monurol", "morantel", "morantel tartrate", "moraxella catarrhalis subsp. catarrhalis", "morazone", "morazone hcl", "morella cerifera root bark extract", "morganella morganii", "morgidox", "moricizine", "moricizine hydrochloride", "morinda citrifolia extract", "morinda citrifolia fruit extract", "morinda citrifolia fruit juice", "morinda citrifolia leaf extract", "morinda citrifolia seed oil", "morinda officianalis root extract", "morinda officinalis whole extract", "moringa oleifera bark extract", "moringa oleifera leaf extract", "moringa oleifera seed extract", "moringa oleifera seed oil", "morniflumate", "morning after", "moroxydine", "moroxydine hydrochloride", "morphine", "morphine / naltrexone", "morphine hydrochloride", "morphine liposomal", "morphine sulfate", "morphine sulfate liposomal", "morphine tartrate", "morpholine", "morpholine salicylate", "morrhuate", "morrhuic acid", "morus alba bark extract", "morus alba extract", "morus alba leaf extract", "morus alba root bark extract", "morus alba root extract", "morus alba stem extract", "morus australis leaf extract", "morus australis root extract", "morus australis wood extract", "morus nigra fruit extract", "morus nigra root extract", "mosapride", "moschus berezovskii musk sac resin", "moschus moschiferus musk sac resin", "moschus moschiferus whole extract", "mosco corn & callus remover", "mosco one step corn remover", "mosquito allergenic extract", "motazol", "moth bean extract", "motofen", "motrin", "motrin cold childrens", "motrin pm", "mountain cedar pollen extract", "mountain pepper fruit extract", "mouth swoosh", "movantik", "moviprep", "moxalactam", "moxatag", "moxaverine", "moxaverine hydrochloride", "moxeza", "moxidectin", "moxidectin / praziquantel", "moxifloxacin", "moxifloxacin 400 mg oral tablet 5 count pack", "moxifloxacin hydrochloride", "moxisylyte", "moxonidine", "mozobil", "mpm radiaplex", "ms contin", "mst 600", "mtx support", "mucinex", "mucinex children's cough", "mucinex cough", "mucinex d", "mucinex dm", "mucinex nasal spray", "mucinex non-drowsy allergy", "mucinex stuffy nose & cold", "mucins", "mucins / xylitol", "mucopolysaccharide polysulfate", "mucor circinelloides f. lusitanicus preparation", "mucor extract", "mucor plumbeus allergenic extract", "mucor racemosus immunoserum rabbit", "mucor racemosus preparation", "mucuna pruriens fruit trichome extract", "mucuna pruriens seed extract", "muellergesic", "mugwort sage pollen extract", "mulberry pollen extract", "multaq", "multi-delyn", "multigen", "multigen plus", "multitrace-4", "multitrace-5", "mumps skin test antigen", "mumps vaccine", "mumps virus", "mumps virus vaccine live, jeryl lynn strain", "mumps virus vaccine live, jeryl lynn strain / rubella virus vaccine live (wistar ra 27-3 strain)", "mumpsvax", "mung bean allergenic extract", "mupirocin", "mupirocin calcium", "muramidase", "muramidase / vitamin b6", "muramidase hcl", "muricin", "murine dry eyes", "murine ear", "murine plus", "muro 128", "murocoll 2", "muromonab-cd3", "musa basjoo whole extract", "musa x paradisiaca flower extract", "musa x paradisiaca leaf extract", "musa x paradisiaca whole extract", "musclecare", "muscone", "muse", "musk ketone", "muskmelon extract", "mustard greens allergenic extract", "mustard oil", "mustard pollen extract", "mustard seed allergenic extract", "mustargen", "mutanase schizosaccharomyces pombe", "mvc-fluoride", "mvi pediatric", "my way", "my-e", "myalept", "myambutol", "mycamine", "mycelex troches", "mycinaire", "mycinette sore throat spray", "mycitracin plus pain reliever", "mycobacterium bovis", "mycobacterium bovis immunoserum rabbit", "mycobacterium microti immunoserum rabbit", "mycobacterium phlei", "mycobacterium tuberculosis", "mycobutin", "mycocide", "mycocide ns", "mycocladus corymbiferus extract", "mycogone nigra allergenic extract", "mycophenolate", "mycophenolate mofetil", "mycophenolate mofetil hydrochloride", "mycophenolate sodium", "mycophenolic acid", "mycoplasma pneumoniae", "mydex", "mydfrin", "mydocs", "mydral", "mydriacyl", "myfortic", "mygrex", "myhelper", "mykidz iron", "mykrox", "mylanta", "mylanta child", "mylanta gelcap", "mylanta supreme", "mylanta ultimate", "mylanta ultra", "myleran", "mylicon", "myobloc", "myochrysine", "myoflex", "myogesic-cs", "myomega heath therapy cream", "myomega pain relief rub", "myorisan", "myorx", "myosotis arvensis extract", "myosotis sylvatica flowering top extract", "myoxin", "myozyme", "myphetane dx", "myrbetriq", "myrciaria dubia fruit extract", "myrciaria dubia seed extract", "myreth-4", "myricetin", "myristalkonium", "myristalkonium chloride", "myristamidopropyl pg-dimonium chloride phosphate", "myristamidopropylamine oxide", "myristamine oxide", "myristate", "myristic acid", "myristic diisopropanolamide", "myristica fragrans whole extract", "myristoyl glutamate", "myristoyl isethionate", "myristoyl pentapeptide-4", "myristoyl sarcosinate", "myristoyl tetrapeptide-4", "myristoyl-palmitoyl oxostearamide-arachamide mea", "myristyl alcohol", "myristyl glucoside", "myristyl lactate", "myristyl laurate", "myristyl myristate", "myristyl nicotinate", "myristyl propionate", "myrothamnus flabellifolia leaf extract", "myrrh extract", "myrrh oil", "myrtecaine", "myrtle leaf oil", "myrtol", "myrtol / oxytetracycline", "myrtus communis leaf extract", "myrtus communis top extract", "myrtus communis whole extract", "mysoline", "mytab gas", "mytelase", "mytussin ac", "mytussin dac", "myzilra 28 day pack", "n ice with vitamin c", "n'ice", "n,n'-diphenyl-4-phenylenediamine", "n,n-bis(2-hydroxyethyl)-p-phenylenediamine sulfate", "n,n-bis(2-hydroxyethyl)lactamide", "n,n-dimethyl-2-octadecanamine", "n,n-dimethylacrylamide", "n,n-dimethylglycine", "n-(3-(dimethylamino)propyl)octadecanamide", "n-(carbonyl-methoxypolyethylene glycol 2000)-1,2-distearoyl-sn-glycero-3-phosphoethanolamine", "n-(carbonyl-methoxypolyethylene glycol 2000)-1,2-distearoyl-sn-glycero-3-phosphoethanolamine, sodium salt", "n-(hydroxyethyl)ethylenediaminetriacetic acid", "n-acetyl dipeptide-1", "n-acetyl-methionine, dl-", "n-acetylmethionine", "n-acetyltryptophan", "n-acetyltyrosine", "n-alkyl dimethyl benzyl ammonium (c12-c18)", "n-alkyl dimethyl benzyl ammonium chloride (c12-c18)", "n-alkyl ethylbenzyl dimethyl ammonium (c12-c14)", "n-alkyl ethylbenzyl dimethyl ammonium chloride (c12-c14)", "n-butyl acrylate", "n-butyl lactate", "n-butylphthalimide", "n-caproylsphingosine", "n-cyclohexyl-2-benzothiazosulfenamide", "n-cyclohexyl-n'-phenyl-1,4-phenylenediamine", "n-decyl alcohol", "n-dodecane", "n-hydroxysuccinimide", "n-isopropyl-n-phenyl-4-phenylenediamine", "n-lactoylethanolamine", "n-methylephedrine", "n-methylscopolamine bromide", "n-nonylphenol", "n-oxydiethylene-2-benzothiazole sulfenamide", "n-tert-octylacrylamide", "n-valyltryptophan", "nabi-hb", "nabilone", "nabumetone", "nadh", "nadolol", "nadoxolol", "nadoxolol hydrochloride", "nadroparin", "nafarelin", "nafarelin acetate", "nafcillin", "nafcillin sodium", "nafcillin sodium monohydrate", "nafrinse", "nafronyl", "nafronyloxalate", "naftazone", "naftazone / rutin", "naftifine", "naftifine hydrochloride", "naftin", "naglazyme", "nail md spray", "naja naja venom", "nalbuphine", "nalbuphine hydrochloride", "naldecon senior dx", "nalex ac", "nalex expectorant", "nalfon", "nalidixate", "nalidixate / phenazopyridine", "nalidixic acid", "nalmefene", "nalmefene hydrochloride", "naloxegol", "naloxegol oxalate", "naloxone", "Naloxone / oxyCODONE", "naloxone / pentazocine", "naloxone / tilidine", "naloxone hydrochloride", "naloxone hydrochloride dihydrate", "naltrexone", "naltrexone hydrochloride", "namenda", "namenda 49 (5 mg / 10 mg) titration pack", "namenda xr 28 day titration pack", "namzaric", "nandrolone", "nandrolone decanoate", "nandrolone phenpropionate", "nanofreeze", "nanomol suspension", "naphazoline", "naphazoline / neomycin", "naphazoline / pheniramine", "naphazoline / phenylephrine", "naphazoline / phenylephrine / pyrilamine", "naphazoline / polyethylene glycol 300", "naphazoline / polyethylene glycols", "naphazoline / polysorbate 20", "naphazoline / polysorbate 80", "Naphazoline / prednisoLONE", "naphazoline / pyrilamine", "naphazoline / zinc sulfate", "naphazoline hydrochloride", "naphazoline nitrate", "naphcon", "naphcon a", "naphthalene", "naphthoquine", "naprelan", "naprelan dose card", "naprosyn", "naproxen", "naproxen / pseudoephedrine", "Naproxen / SUMAtriptan", "naproxen / thiamine", "naproxen sodium", "narasin", "naratriptan", "naratriptan / SUMAtriptan", "naratriptan hydrochloride", "narcissus pseudonarcissus extract", "narcissus pseudonarcissus flower extract", "narcissus tazetta bulb extract", "nardil", "nardostachys chinensis whole extract", "naringenin", "naringin", "naringin sodium", "nariz", "nariz hc", "naropin", "narrowleaf marshelder pollen extract", "nasacort", "nasadrops", "nasal asalt", "nasalcrom", "nasalide", "nasarel", "nascobal", "nasin", "nasofed", "nasohist", "nasonex", "nasop", "nasopen", "nasopen pe", "nasturtium officienale whole extract", "nasturtium officinale extract", "natacyn", "natafort", "natal orange extract", "natalizumab", "natamycin", "natazia 28 day pack", "nateglinide", "natelle", "natesto", "natpara", "natrecor", "natroba", "nattokinase", "natural acne solutions", "natural dentist", "natural graphite", "natural red 26", "nature fusion cough", "nature's tears", "nature-throid", "naus-ease", "nausea control", "nauzene", "navelbine", "navy kidney bean allergenic extract", "naxcel", "nazarin hc", "neatsfoot oil", "nebivolol", "nebivolol hydrochloride", "nebupent", "nebusal", "necon 0.5/35 28 day pack", "necon 1/35 28 day pack", "necon 1/50 28 day pack", "necon 10/11 28 day pack", "necon 7/7/7 28 day pack", "nectarine allergenic extract", "nedocromil", "nedocromil sodium", "nefazodone", "nefazodone hydrochloride", "nefopam", "nefopam hydrochloride", "neisseria meningitidis", "neisseria meningitidis serogroup a capsular polysaccharide diphtheria toxoid protein conjugate vaccine", "neisseria meningitidis serogroup a capsular polysaccharide diphtheria toxoid protein conjugate vaccine / neisseria meningitidis serogroup c capsular polysaccharide diphtheria toxoid protein conjugate vaccine / neisseria meningitidis serogroup w-135 capsular polysaccharide diphtheria toxoid protein conjugate vaccine / neisseria meningitidis serogroup y capsular polysaccharide diphtheria toxoid protein conjugate vaccine", "neisseria meningitidis serogroup a oligosaccharide diphtheria crm197 protein conjugate vaccine", "neisseria meningitidis serogroup a oligosaccharide diphtheria crm197 protein conjugate vaccine / neisseria meningitidis serogroup c oligosaccharide diphtheria crm197 protein conjugate vaccine / neisseria meningitidis serogroup w-135 oligosaccharide diphtheria crm197 protein conjugate vaccine / neisseria meningitidis serogroup y oligosaccharide diphtheria crm197 protein conjugate vaccine", "neisseria meningitidis serogroup b recombinant fhbp fusion protein antigen", "neisseria meningitidis serogroup b recombinant lp2086 a05 protein variant antigen", "neisseria meningitidis serogroup b recombinant lp2086 a05 protein variant antigen / neisseria meningitidis serogroup b recombinant lp2086 b01 protein variant antigen", "neisseria meningitidis serogroup b recombinant lp2086 b01 protein variant antigen", "neisseria meningitidis serogroup b recombinant nada fusion protein antigen", "neisseria meningitidis serogroup b recombinant nhba fusion protein antigen", "neisseria meningitidis serogroup b strain nz98/254 outer membrane vesicle", "neisseria meningitidis serogroup c capsular polysaccharide diphtheria toxoid protein conjugate vaccine", "neisseria meningitidis serogroup c oligosaccharide diphtheria crm197 protein conjugate vaccine", "neisseria meningitidis serogroup w-135 capsular polysaccharide diphtheria toxoid protein conjugate vaccine", "neisseria meningitidis serogroup w-135 oligosaccharide diphtheria crm197 protein conjugate vaccine", "neisseria meningitidis serogroup y capsular polysaccharide diphtheria toxoid protein conjugate vaccine", "neisseria meningitidis serogroup y oligosaccharide diphtheria crm197 protein conjugate vaccine", "nelarabine", "nelfinavir", "nelfinavir mesylate", "nelumbo nucifera flower extract", "nelumbo nucifera flower oil", "nelumbo nucifera flower wax", "nelumbo nucifera germ extract", "nelumbo nucifera leaf extract", "nelumbo nucifera root extract", "nelumbo nucifera seed extract", "nelumbo nucifera stamen extract", "nelumbo nucifera whole extract", "nembutal sodium", "nemex", "neo-homosalate", "neo-polycin", "neo-polycin hc", "neo-predef", "neo-synalar", "neo-synephrine", "neo-synephrine 12 hour", "neobenz micro", "neobenz micro cream plus pack", "neobenz micro sd", "neobenz micro wash", "neocidin ointment", "neocidin solution", "neodymium", "neodymium oxide", "neohesperidin dihydrochalcone", "neomycin", "neomycin / nystatin / thiostrepton / triamcinolone", "neomycin / polymyxin b", "neomycin / polymyxin b / pramoxine", "Neomycin / Polymyxin B / prednisoLONE", "Neomycin / prednisoLONE", "neomycin / propionic acid", "neomycin / triamcinolone", "neomycin b sulfate", "neomycin sulfate", "neon", "neopentyl gly dcapryl-dcaprate", "neopentyl glycol", "neopentyl glycol dicaprate", "neopentyl glycol dicaprylate-dicaprate", "neopentyl glycol diethylhexanoate", "neopentyl glycol diheptanoate", "neopentyl glycol diisostearate", "neopicrorhiza scrophulariiflora root extract", "neoprofen", "neoq10", "neoral", "neosporin eczema", "neosporin g. u. irrigant", "neosporin lip health overnight renewal therapy", "neosporin lt lip treatment", "neosporin moisturizing", "neosporin neo to go", "neosporin ointment", "neosporin plus maximum strength", "neosporin plus maximum strength cream", "neosporin solution", "neosporin wound cleanser", "neostigmine", "neostigmine / pilocarpine", "neostigmine bromide", "neostigmine methylsulfate", "neotame", "neotic", "neotuss", "neova complex hq plus", "neovet", "nepafenac", "nephramine", "nephrocaps", "nephrocaps qt", "neptazane", "neral", "nerium oleander leaf extract", "nerve growth factor", "nervine", "nesacaine", "nesina", "nesiritide", "netilmicin", "netilmicin sulfate", "nettle pollen extract", "netupitant", "netupitant / palonosetron", "neuac", "neulasta", "neumega", "neupogen", "neupro", "neupro titration kit for parkinson's disease", "neuromed", "neurontin", "neurospora crassa allergenic extract", "neurospora intermedia allergenic extract", "neurospora sitophila extract", "neurotrophin 3", "neurotrophin 4", "neut brand of sodium bicarbonate", "neutracaine", "neutracare", "neutracett", "neutragard", "neutramaxx", "neutraphor", "neutraphorus rex skin protectant", "neutrexin", "neutrogena acne control", "neutrogena acne mask", "neutrogena acne wash oil free", "neutrogena advance solutions", "neutrogena all-in-1 acne control", "neutrogena body clear", "neutrogena daily control", "neutrogena healthy scalp dandruff shampoo", "neutrogena naturals acne cleanser", "neutrogena naturals acne spot treatment", "neutrogena oil free acne stress control", "neutrogena oil free acne stress control power foam wash", "neutrogena oil free moisture clear skin", "neutrogena on spot acne treatment", "neutrogena rapid clear", "neutrogena rapid clear gel", "neutrogena rapid clear scrub", "neutrogena rapid clear stubborn acne cleanser", "neutrogena rapid clear stubborn acne spot", "neutrogena skin clearing blemish concealer", "neutrogena t/derm", "neutrogena t/gel daily control", "neutrogena t/gel extra strength", "neutrogena t/sal", "nevanac", "never pain", "nevirapine", "new coccine", "new zealand green mussel extract", "new-skin liquid bandage", "new-skin poison ivy", "new-skin scar fade", "nexa select reformulated feb 2013", "nexafed", "nexafed sinus and pain", "NexAVAR", "nexavir", "nexgard", "nexha", "nexiclear acne treatment", "nexiclon", "NexIUM", "nexplanon", "next choice (levonorgestrel 0.75 mg) pack", "next choice one dose", "next-1 antibacterial", "nexterone", "nfz", "niacin", "niacin / niacinamide", "Niacin / Niacinamide / PHENobarbital", "niacin / pantothenic acid / riboflavin / thiamine / vitamin b 12 / vitamin b6", "niacin / pentaerythritol", "niacin / pentifylline", "niacin / pentylenetetrazole", "niacin / pheniramine", "niacin / procaine / salicylamide", "niacin / riboflavin", "niacin / riboflavin / thiamine", "niacin / simvastatin", "niacin / vitamin b6", "niacin / zinc citrate", "niacinamide", "niacinamide / panthenol / zinc pyrithione", "niacinamide / potassium", "niacinamide / potassium iodide", "Niacinamide / prednisoLONE", "niacinamide / prothionamide", "Niacinamide / quiNINE / Thiamine", "niacinamide / riboflavin", "niacinamide / salicylic acid", "niacinamide / vitamin b6", "niacinamide ascorbate", "niacor", "nialamide", "niaprazine", "niaspan", "niaspan starter pack", "nicarbazin", "niCARdipine", "niCARdipine / Pyrithioxin", "niCARdipine hydrochloride", "nicazel", "nicergoline", "nickel", "nickel acetate", "nickel acetate tetrahydrate", "nickel cation", "nickel gluconate", "nickel sulfate", "nickel sulfate / potassium bromide / sulfur", "nickel sulfate / potassium bromide / zinc bromide", "nickel sulfate hexahydrate", "niclosamide", "nicoboxil", "nicoboxil / vanillyl-n-nonylamide", "nicoderm c-q", "nicofuranose", "nicomide", "nicomide-t", "nicorandil", "nicorelief", "nicorette", "nicotiana tabacum whole extract", "nicotinamide adenine dinucleotide (nad)", "nicotinamide hydriodide", "nicotine", "nicotine bitartrate", "nicotine bitartrate anhydrous", "nicotine polacrilex", "nicotinic acid benzyl ester", "nicotinic acid propyl ester", "nicotinyl alcohol", "nicotinyl alcohol tartrate", "nicotrol", "nicotrol inhaler", "nifediac", "nifedical", "NIFEdipine", "niferex", "niflumic acid", "niflumic acid / orphenadrine", "nifuratel", "nifuroxazide", "nifurpipone", "nifurtimox", "nifurzide", "nifurzide / pectin", "nigella sativa seed oil", "nikethamide", "nikki 28 day pack", "nikzon", "nilandron", "nilotinib", "nilutamide", "nilvadipine", "nimbex", "nimesulide", "nimesulide / orphenadrine", "niMODipine", "nimorazole", "nimotop", "ninjacof", "ninjacof a", "ninjacof xg", "nintedanib", "nintedanib esylate", "niobium", "nioxin", "nioxin hair regrowth", "nipent", "niravam", "nisoldipine", "nitarsone", "nitazoxanide", "nitenpyram", "nithiodote kit", "nitisinone", "nitrate ion", "nitrazepam", "nitrazepam / oxazepam / scopolamine", "nitrendipine", "nitric acid", "nitric oxide", "nitric oxide / nitrogen", "nitrite ion", "nitro-bid", "nitro-dur", "nitrocellulose", "nitrodisc", "nitrofurantoin", "Nitrofurantoin / Phenazopyridine / sulfADIAZINE", "Nitrofurantoin / sulfADIAZINE", "nitrofurantoin / sulfamethizole", "nitrofurantoin / tetracaine", "nitrofurantoin / vitamin b6", "nitrofurantoin, macrocrystals", "nitrofurantoin, macrocrystals / nitrofurantoin, monohydrate", "nitrofurantoin, monohydrate", "nitrofurazone", "nitrofurazone / xylometazoline", "nitrogen", "nitrogen / oxygen", "nitroglycerin", "nitrol", "nitrolingual", "nitromersol", "nitromist", "nitronal", "nitropress", "nitroprusside", "nitrostat", "nitrotan", "nitrous oxide", "nitroxoline", "nitrozone", "niva-fol", "nivolumab", "nix cream rinse", "nizatidine", "nizoral", "no doz", "no zit sherlock", "nobac", "noble lion medicated balm", "nodolor", "nolvadex", "nomegestrol", "nomegestrol acetate", "nomifensine", "nomifensine maleate", "nonanal", "nonbac", "nonivamide", "nonoxynol, 4-sulfate, ammonium salt", "nonoxynol-10", "nonoxynol-100", "nonoxynol-12", "nonoxynol-2", "nonoxynol-20", "nonoxynol-30", "nonoxynol-4", "nonoxynol-4 sulfate", "nonoxynol-8", "nonoxynol-9", "nor-qd 28 day pack", "nora-be 28 day pack", "norco", "nordazepam", "nordette 21 day pack", "nordette 28 day pack", "norditropin", "norel ex", "norel la", "norelgestromin", "norepinephrine", "norepinephrine bitartrate", "norepinephrine, dl-", "norethandrolone", "norethindrone", "norethindrone acetate", "norethindrone enanthate", "norethynodrel", "norfenefrine", "norfenefrine / octodrine", "norfenefrine / pentylenetetrazole", "norfenefrine / pholedrine", "norfenefrine hydrochloride", "norflex", "norfloxacin", "norflurane", "norgesic", "norgestimate", "norgestrel", "norgestrienone", "norinyl 1+35 28 day pack", "norinyl 1+50 28 day pack", "noritate", "norlyroc", "norlyroc 28 day pack", "normethadone", "normethadone / oxilofrine", "normlshield", "normodyne", "normosol-m", "normosol-r", "normosol-r in 5 % dextrose", "norocillin", "noromectin", "noromectin plus", "noromycin", "noroxin", "norpace", "norpramin", "nortemp", "north american coral snake antivenin", "northera", "northern paper wasp venom protein", "northern pike allergenic extract", "nortrel 0.5/35 28 day pack", "nortrel 1/35 21 day pack", "nortrel 1/35 28 day pack", "nortrel 7/7/7 28 day pack", "nortriptyline", "nortriptyline / perphenazine", "nortriptyline hydrochloride", "norvasc", "norvir", "norwich aspirin", "noscapine", "noscapine / phenylephrine", "noscapine / polysorbates / promethazine", "noscapine / theophylline", "nostrilla", "notopterygium franhetii root extract", "notopterygium incisum root extract", "notopterygium incisum whole extract", "notuss pe", "notuss-nx", "notuss-nxd", "nova pearls", "novacort", "novaferrum 125", "novaferrum iron", "novagesic", "novahistine dh reformulated oct 2008", "novamine 15%", "novarel", "novasal", "novipet joint support", "novipet magic bites", "novobiocin", "novobiocin / penicillin g", "novobiocin / tetracycline", "novobiocin sodium", "novocaine", "novoeight", "NovoLIN", "NovoLIN N", "NovoLIN R", "NovoLOG", "NovoLOG Mix", "novoseven", "novothyrox", "novox", "noxafil", "noxythiolin", "noxzema clean", "nplate", "nu skin clear action", "nu-iron 150", "nucala", "nucofed", "nucofed expectorant", "nucort", "nucynta", "nuedexta", "nuflor", "nulecit", "nulev", "nullo", "nulojix", "nulytely", "numb nuts", "numotizine", "nuox", "nupercainal", "nuphar japonica root extract", "nuphar luteum root extract", "nuprin backache", "nuquin hp", "nutmeg allergenic extract", "nutmeg extract", "nutmeg oil", "nutradrops", "nutralox", "nutraplus", "nutrestore", "nutrilipid", "nutrilyte", "nutrilyte ii", "nutrisource", "nutropin", "nutropin depot", "nuvaring", "nuvessa", "nuvigil", "nuvileo", "nux vomica extract", "nuzole", "nuzon", "nyamyc", "nydamax", "nylidrin", "nylidrin hydrochloride", "nylon 12", "nymalize", "nymphaea alba flower extract", "nymphaea caerulea flower extract", "nymphaea odorata root extract", "nyquil cough", "nystatin", "nystatin / oxytetracycline", "nystatin / tetracycline", "nystatin / tinidazole", "nystatin / tolnaftate", "nystatin / triamcinolone", "nystex", "nystop", "nytol", "o-cymen-5-ol", "o-phthalaldehyde", "o-xylene", "o24 pain neutralizer", "oasis tears", "oat allergenic extract", "oat bran", "oat kernel oil", "oat loose smut extract", "oat smut allergenic extract", "oats preparation", "obidoxime", "obidoxime chloride", "obinutuzumab", "obizur", "obredon", "oc 8 adult acne", "oc eight", "ocean blue nutritionals omega-3 1450", "ocean brand of sodium chloride", "ocella 28 day pack", "ocimum africanum leaf extract", "ocimum americanum leaf extract", "ocimum basilicum flowering top extract", "ocimum basilicum whole extract", "ocimum gratissimum leaf oil", "ocimum gratissimum whole extract", "ocimum tenuiflorum top extract", "ocimum tenuiflorum whole extract", "oclacitinib", "oclacitinib maleate", "ocriplasmin", "octadecene", "octadecenedioate", "octadecenedioic acid", "octadecyl palmitate", "octadecyl trimethyl ammonium chloride", "octadecyltrimethylammonium", "octagam", "octanediol", "octanoic acid", "octenyl succinate", "octinoxate", "octisalate", "Octocaine with EPINEPHrine", "octocrylene", "octodrine", "octodrine camsylate", "octopamine", "octotropine methylbromide", "octoxynol", "octoxynol-1", "octoxynol-2 ethane sulfonate", "octoxynol-40", "octoxynol-5", "octoxynol-9", "octreotide", "octreotide acetate", "octycine-100", "octycine-250", "octyl acrylate", "octyl dodecanol", "octyl sulfate", "octyldecanol", "octyldodecyl behenate", "octyldodecyl lactate", "octyldodecyl myristate", "octyldodecyl neopentanoate", "octyldodecyl oleate", "octyldodecyl stearate", "octyldodecyl stearoyl stearate", "octylonium", "octyltriethoxysilane", "ocudox", "ocufen", "ocuflox", "ocufresh", "ocupress", "ocusan", "ocusoft", "ocuvite", "ocuvite lutein", "odomzo", "odor eaters", "oenanthe aquatica fruit extract", "oenanthe crocata root extract", "oenothera biennis flower extract", "oenothera biennis flowering top extract", "oenothera biennis leaf extract", "oenothera biennis root extract", "oenothera biennis seed extract", "ofatumumab", "ofev", "off! explore", "ofirmev", "ofloxacin", "oftasceine", "ogen", "ogestrel 28 day pack", "oil of garlic", "oil of ginger", "oil of niaouli", "oil of patchouli", "okoubaka aubrevillei bark extract", "okra allergenic extract", "okra extract", "OLANZapine", "OLANZapine pamoate", "OLANZapine pamoate monohydrate", "olaparib", "olay acne control", "olay fresh effects clear skin spot zinger", "oldenlandia diffusa extract", "olea europaea bark extract", "olea europaea flower extract", "olea europaea fruit volatile oil", "olea europaea leaf extract", "olea europaea whole extract", "olealkonium chloride", "oleamido mea-sulfosuccinate", "oleamido mipa-sulfosuccinate", "oleandomycin", "oleandomycin / tetracycline", "oleanolate", "oleanolic acid", "oleate", "oleic acid", "oleoyl tyrosine", "oleptro", "oleth-10", "oleth-10 phosphate", "oleth-2", "oleth-20", "oleth-25", "oleth-3", "oleth-3-phosphate", "oleth-5", "oleyl alcohol", "oleyl erucate", "oleyl oleate", "oleylamide", "olive leaf extract", "olive oil", "olivine", "olmesartan", "olmesartan medoxomil", "olodaterol", "olodaterol / tiotropium", "olodaterol hydrochloride", "olopatadine", "olopatadine hydrochloride", "olsalazine", "olsalazine sodium", "olux", "olysio", "omacetaxine", "omacetaxine mepesuccinate", "omalizumab", "ombitasvir", "ombitasvir / paritaprevir / ritonavir", "ombitasvir heminonahydrate", "omega-3 acid ethyl esters (usp)", "omega-3 acid ethyl esters (usp) / phytosterols", "omega-3 acid ethyl esters (usp) / pyridoxine / vitamin b 12", "omega-3 acid ethyl esters (usp) / salmon oil", "omega-3 acid ethyl esters (usp) / vitamin e", "omega-3 carboxylic acids", "omega-3 fatty acids", "omeprazole", "omeprazole / sodium bicarbonate", "omeprazole magnesium", "omesec", "omidria", "omnaris", "omni gel", "omnicef", "omnicide", "omnipred", "omnitrope", "omoconazole", "omoconazole mononitrate", "omontys", "omtryg", "onabotulinumtoxina", "oncaspar", "oncorhynchus masou sperm dna", "ondansetron", "ondansetron hydrochloride", "one gel sport", "one touch reformulated apr 2009", "oneseed juniper pollen extract", "onexton", "onfi", "onglyza", "ongo-fin", "onion allergenic extract", "onion extract", "onivyde", "onmel", "ononis campestris extract", "ononis campestris root extract", "ononis repens root extract", "ononis repens whole extract", "onopordum extract", "onosmodium virginianum root extract", "onosmodium virginianum whole extract", "onsior", "onsolis", "ontak", "onxol", "ony-clear", "oolong tea leaf extract", "opalescence pf", "opalescence whitening", "opana", "opcicon one-step", "opcon-a", "opdivo", "ophiocordyceps sinensis extract", "ophiopogon japonicus root extract", "ophthetic", "opipramol", "opipramol hydrochloride", "opium", "opium tincture", "opium, powdered", "opopanax chironium whole extract", "oprelvekin", "opsumit", "optase", "opticlear", "optiflex-c", "optiflex-g", "optigene", "optima plus", "optimend corneal repair", "optimmune", "optimum brand of activated charcoal", "optimum brand of magnesium gluconate", "optipranolol", "optivar", "optivet allergy relief", "optivet eye irrigating", "opuntia cochenillifera flower extract", "opuntia ficus-indica extract", "opuntia ficus-indica flower extract", "opuntia ficus-indica fruit juice extract", "opuntia ficus-indica stem extract", "opuntia streptacantha stem extract", "opuntia tuna flowering top extract", "ora relief", "orabase", "orabloc", "orabrite", "oracea", "oracit", "orajel", "orajel anticavity", "orajel baby tooth and gum cleaner", "orajel bleeding gum rinse", "orajel cold sore", "orajel dry mouth", "orajel instant pain relief", "orajel maximum toothache relief", "orajel mouth sore medicine", "orajel mouth sore rinse", "orajel mouth-aid", "orajel my way", "orajel single dose cold sore", "orajel ultra", "oral b anti-cavity", "oral-b instant pain relief", "oral-b minute-foam", "oral-b neutra", "oral-b rinse", "oralair 100", "oralair 300", "oraline", "oralone", "oramagic plus", "oramorph", "orange allergenic extract", "orange juice", "orange oil", "orange oil terpeneless", "orange oil, distilled", "orange peel extract", "orange peel wax", "orange pekoe tea allergenic extract", "orange pollen extract", "orap", "orapred", "oraqix", "orasep reformulated dec 2013", "orastat", "oratuss", "oraverse", "oravig", "oraxyl", "orazinc", "orbactiv", "orbax", "orbifloxacin", "orbivan", "orchard grass pollen extract", "orchis mascula flower extract", "orchis mascula tuber extract", "orchis mascula whole extract", "orcytolagus cuniculus hypothalamus preparation", "oregano allergenic extract", "oregano flowering top extract", "oregano leaf oil", "oregano oil", "oregon ash pollen extract", "orencia", "orenitram", "orfadin", "orfro", "orgadin-tuss dm", "organix complete", "orgotein", "origanum majorana extract", "origanum oil", "origanum vulgare subsp. hirtum flower extract", "origanum vulgare subsp. hirtum whole extract", "oris", "oritavancin", "oritavancin diphosphate", "orkambi", "orlistat", "ormetoprim", "ormetoprim / sulfadimethoxine", "ornacycline", "ornacyn", "ornex", "ornidazole", "ornipressin", "ornithine", "ornithine alpha-ketoglutarate", "ornithine hydrochloride", "ornithine, (l)-isomer", "ornithogalum umbellatum extract", "ornithogalum umbellatum flowering top extract", "ornithylaspartate", "orotic acid", "orotic acid / vitamin e", "orotic acid monohydrate", "orphenadrine", "orphenadrine / piroxicam", "orphenadrine / propyphenazone", "orphenadrine citrate", "orphenadrine hydrochloride", "orris allergenic extract", "orris root allergenic extract", "orsythia 28 day pack", "ortho evra", "ortho micronor 28 day pack", "ortho tri-cyclen 28 day pack", "ortho tri-cyclen lo 28 day pack", "ortho-cept 28 day pack", "ortho-cyclen 28 day pack", "ortho-nesic", "ortho-novum 1/35 28 day pack", "ortho-novum 7/7/7 21 day pack", "ortho-novum 7/7/7 28 day pack", "orthoclone okt3", "orthosilicic acid", "orthovisc", "orthowash", "orudis", "oruvail", "oryctolagus cuniculus bone preparation", "oryctolagus cuniculus cartilage preparation", "oryctolagus cuniculus kidney preparation", "oryctolagus cuniculus knee joint preparation", "oryctolagus cuniculus ligament preparation", "oryctolagus cuniculus liver preparation", "oryctolagus cuniculus lung preparation", "oryctolagus cuniculus spinal cord preparation", "oryctolagus cuniculus testicle preparation", "oryctolagus cuniculus thymus preparation", "oryctolagus cuniculus thyroid preparation", "oryza sativa whole extract", "os-cal 500 with d", "osage orange pollen extract", "oscal 500", "oscimin", "oscion", "oseltamivir", "oseltamivir carboxylate", "oseltamivir phosphate", "oseni", "osimertinib", "osimertinib mesylate", "osmanthus fragrans flower extract", "osmitrol", "osmium", "osmoflex", "osmoprep", "ospa protein", "ospemifene", "osphena", "osteo bi-flex", "osteo-poretical", "ostercal-d", "ostericum grosseserratum root extract", "osteum", "osthol", "ostilox", "ostrea edulis shell preparation", "otezla", "otezla 28-day starter pack", "otezla starter pack", "oticin hc", "oticot hc", "otilonium bromide", "otimar", "otocidin", "otomax", "otomax hc", "otozin", "otrexup", "otrivin", "ouabain", "Ouabain / PHENobarbital", "outgro pain relief", "ovace", "ovacyst", "ovadine", "ovalbumin", "ovcon 35 28 day pack", "ovcon 50 28 day pack", "ovemotide", "overtime", "ovide", "ovidrel", "ovis aries testicle preparation", "ovral 21 day pack", "ovral 28 day pack", "ox bile extract", "ox bile extract / pancreatin", "oxaceprol", "oxacillin", "oxacillin sodium", "oxacycloheptadec-8-en-2-one, (8z)-", "oxalate", "oxalic acid", "oxalic acid, dihydrate", "oxaliplatin", "oxalis corniculata whole extract", "oxalis montana leaf extract", "oxaloacetate", "oxaloacetic acid", "oxamniquine", "oxandrin", "oxandrolone", "oxaprozin", "oxaprozin potassium", "oxatomide", "oxaydo", "oxazepam", "oxazepam / pancreatin / simethicone", "OXcarbazepine", "oxecta", "oxeladin", "oxeladin / promethazine", "oxeladin / reproterol", "oxeladin citrate", "oxerutins", "oxetorone", "oxetorone fumarate", "oxfendazole", "oxibendazole", "oxiconazole", "oxiconazole nitrate", "oxidronate", "oxidronate disodium", "oxidronic acid", "oxilan", "oxilofrine", "oxilofrine hcl", "oxipor vhc", "oxiracetam", "oxistat", "oxitropium", "oxitropium bromide", "oxoject", "oxolamine", "oxolamine citrate", "oxolinic acid", "oxothiazolidine", "oxprenolol", "oxprenolol hydrochloride", "oxsoralen", "oxsoralen-ultra", "oxtellar", "oxtriphylline", "oxy 10", "oxy 500", "oxy balance", "oxy balance cleansing", "oxy clean", "oxy daily wash", "oxy face scrub", "oxy gard", "oxy maximum action", "oxy mild face wash", "oxy nightwatch maximum strength", "oxy purifying", "oxy-care 502", "oxy-care ii", "oxybenzone", "oxyblend", "oxybutynin", "oxybutynin chloride", "oxychlorosene", "oxychlorosene sodium", "oxycide", "oxyCODONE", "oxyCODONE Hydrochloride", "oxyCODONE terephthalate", "OxyCONTIN", "oxydendrum arboreum leaf extract", "oxyfast", "oxyfedrine", "oxyfedrine hcl", "oxygen", "oxygen / xenon-133", "oxymetazoline", "oxymetazoline hydrochloride", "oxymetholone", "oxymorphone", "oxymorphone hydrochloride", "oxypertine", "oxyphenbutazone", "oxyphencyclimine", "oxyphencyclimine / PHENobarbital", "oxyphencyclimine hydrochloride", "oxyphenisatin", "oxyphenonium", "oxyphenonium bromide", "oxypolygelatine", "oxyquinoline", "oxyquinoline / potassium sulfate", "Oxyquinoline / prednisoLONE", "oxyquinoline / sodium tartrate", "oxyquinoline / tetracaine", "oxyquinoline potassium sulfate (2:1)", "oxyquinoline sulfate", "oxyrub pain relief", "oxytetracycline", "oxytetracycline / phenazopyridine / sulfamethizole", "oxytetracycline / polymyxin b", "Oxytetracycline / prednisoLONE", "oxytetracycline anhydrous", "oxytetracycline calcium", "oxytetracycline dihydrate", "oxytetracycline hydrochloride", "oxytocin", "oxytrol", "oxytropis lambertii top extract", "oxyuranus scutellatus canni venom extract", "oysco 500", "oysco 500 with d", "oysco d", "oyst cal 500", "oyster allergenic extract", "oyster shell calcium carbonate preparation", "oyster, unspecified preparation", "ozurdex", "p & s", "p-a-c analgesic", "p-aminohippurate", "p-chloro-m-cresol", "p-dodecylbenzenesulfonic acid", "p-hydroxyamphetamine", "p-hydroxyamphetamine / tropicamide", "p-tert-butylphenol-formaldehyde resin (low molecular weight)", "p-v-tussin", "p-v-tussin syrup", "paccal", "pacerone", "pacific cod preparation", "pacific halibut allergenic extract", "pacific salmon allergenic extract", "packera aurea extract", "PACLitaxel", "PACLitaxel protein-bound", "pacnex", "pad kote", "padang cassia oil", "padimate a", "padimate-o", "padina pavonica extract", "paecilomyces variotii extract", "paeonia lactiflora flower extract", "paeonia lactiflora root extract", "paeonia lactiflora whole extract", "paeonia officinalis root extract", "paeonia officinalis whole extract", "paeonia suffruticosa root bark extract", "paeonia suffruticosa root extract", "paeonia veitchii root extract", "pafuramidine", "pain goodbye", "pain z away", "pain-a-lay gargle", "pain-ease", "painaid", "painaid brf", "painaid esf", "painazin-cp", "painmd max", "painzone", "palbociclib", "pale dock pollen extract", "palgic", "palgic d", "palifermin", "paliperidone", "paliperidone palmitate", "palivizumab", "palladia", "palladium", "palm acid", "palm kernel acid", "palm kernel glycerides", "palm kernel oil", "palm kernelate", "palm oil", "palm oil / soybean oil", "palmarosa oil", "palmate", "palmatine", "palmitamidopropyltrimonium", "palmitamidopropyltrimonium chloride", "palmitate", "palmitic acid", "palmitoyl collagen acid", "palmitoyl dipeptide-7", "palmitoyl glutamate", "palmitoyl glycine", "palmitoyl lysyldioxymethionyllysine", "palmitoyl oligopeptide", "palmitoyl pentapeptide-4", "palmitoyl proline", "palmitoyl tetrapeptide-7", "palmitoyl tripeptide-5", "palmitoyllysylvalyldiaminobutyric acid", "palmitoyllysylvalyldiaminobutyroylthreonine", "palo verde pollen extract", "palonosetron", "palonosetron hydrochloride", "pamabrom", "pamabrom / pyrilamine", "pamelor", "pamidronate", "pamidronate disodium", "pamidronic acid", "pamine", "pamine forte", "pamine forte dose pack 60", "pamprin cramp formula", "pamprin max formula", "pamprin multi-symptom", "panacur", "panadol", "panadol cold & flu non drowsy", "panadol pm", "panafil", "panakare", "panax ginseng flower extract", "panax ginseng fruit extract", "panax ginseng root water extract", "panax ginseng whole extract", "panax japonicus root extract", "panax notoginseng root extract", "panax notoginseng whole extract", "panax pseudoginseng root extract", "panax quinquefolius whole extract", "pancreas extract", "pancreatic lipase", "pancreatin", "pancreatin / pepsin a", "pancreatin / potassium bicarbonate / sodium bicarbonate", "pancreatin / simethicone", "pancreatin / vitamin b6", "pancreatin 4x", "pancreaze", "pancrecarb ms", "pancrelipase", "pancrelipase amylase", "pancrelipase protease", "pancreplus", "pancuronium", "pancuronium bromide", "pandanus tectorius root extract", "pandel", "pangamate", "pangamic acid", "pangamic acid / procaine", "panhematin", "panitumumab", "panixine disperdose", "panlor dc reformulated jan 2008", "panobinostat", "panobinostat lactate", "panoxyl", "panretin", "pantethine", "panthenol", "panthenol / salicylic acid", "panthenol / zinc pyrithione", "panthenol triacetate, (+)-", "panthenyl ethyl ether", "panthenyl ethyl ether acetate", "pantolactone", "pantolactone, (+-)-", "pantolactone, (r)-", "pantoprazole", "pantoprazole (as pantoprazole sodium sesquihydrate)", "pantoprazole sodium", "pantothenate", "pantothenate / riboflavin / vitamin b6", "pantothenate / vitamin b6", "pantothenic acid", "pantothenic acid / sennosides, usp", "pantothenic acid / simethicone", "pantothenic acid / thiophene", "papain", "papain / papaya preparation", "papain / tetracycline", "papain / urea", "papaver rhoeas flower extract", "papaveretum", "papaveretum / scopolamine", "papaveretum hydrochloride", "papaverine", "papaverine / phentolamine", "papaverine codecarboxylate", "papaverine hydrochloride", "papaya allergenic extract", "papaya juice", "papaya preparation", "papaya seed extract", "paper birch pollen extract", "paprika allergenic extract", "paprika oil", "para grass pollen extract", "parachlorophenol", "paradyne", "paraffin", "parafon forte dsc", "parakeet feather allergenic extract", "paraldehyde", "paramethadione", "paramethasone", "paramethasone acetate", "parathyroid hormone", "parcaine", "parcopa", "parecoxib", "parecoxib sodium", "paregoric", "paremyd", "parethoxycaine", "parethoxycaine hcl", "pargeverine hcl", "pargyline", "pargyline hydrochloride", "paricalcitol", "parid", "parietaria officinalis extract", "parietaria officinalis leaf extract", "paris polyphylla root extract", "paris quadrifolia extract", "paritaprevir", "paritaprevir dihydrate", "parlodel", "parnaparin", "parnate", "paroex", "paromomycin", "paromomycin sulfate", "PARoxetine", "PARoxetine Hydrochloride", "PARoxetine Hydrochloride Anhydrous", "PARoxetine Hydrochloride, Hemihydrate", "PARoxetine mesylate", "paroxypropione", "parsely seed oil", "parsley allergenic extract", "parsley extract", "parsley oil", "parsnip allergenic extract", "parthenium hysterophorus extract", "parthenolide", "paser d/r", "pasireotide", "pasireotide diaspartate", "pasireotide pamoate", "pasmol", "passalora fulva extract", "passiflora edulis fruit extract", "passiflora edulis fruit juice", "passiflora edulis seed oil", "passiflora incarnata extract", "passiflora incarnata extract / valerian root extract", "passiflora incarnata flower extract", "passiflora incarnata flowering top extract", "passiflora incarnata fruit extract", "passiflora incarnata seed extract", "passiflora incarnata seed oil", "passion flower extract", "passion flower extract / valerian root extract", "pasteurella multocida", "pataday", "patanase", "patanol", "patent blue violet", "patiromer", "patty cake", "pau d'arco preparation", "paullinia cupana seed extract", "paulownia tomentosa leaf extract", "pawpaw extract", "paxidorm", "paxil", "pazeo", "pazol xs", "pazopanib", "pazopanib hydrochloride", "pce", "pcxx neutral foam", "pcxx neutral rinse", "pea allergenic extract", "peach allergenic extract", "peach juice", "peach kernel oil glycereth-8 esters", "peanut allergenic extract", "peanut oil, hydrogenated", "pear allergenic extract", "pear juice", "pear preparation", "pearl (hyriopsis cumingii) extract", "pecan allergenic extract", "pecan pollen extract", "pecan pollen extract / white hickory pollen extract", "pectin", "pedesil", "pedi-dri", "pedi-quick", "pedia-lax", "pedia-lax chewable", "pedia-lax liquid", "pedia-lax liquid glycerin suppositories", "pedia-lax probiotic", "pediacare", "pediacare children's 24-hr allergy", "pediacare children's allergy", "pediacare children's allergy & cold", "pediacare children's cough and congestion", "pediacare children's fever reducer pain reliever", "pediacare children's multi-symptom cold", "pediacare children's pain & fever w/ ibuprofen", "pediacare children's plus cough and sore throat", "pediacare cough & sore throat plus apap", "pediacare decongestant", "pediacare fever", "pediacare gas relief", "pediacare infant fever pain reliever", "pediacare infant fever reducer", "pediacare infant gas relief", "pediacare long acting reformulated feb 2010", "pediacare multi symptom cold", "pediacare nighttime multi-symptom cold", "pediaderm af", "pediaderm hc", "pediaderm ta", "pediaflor drops", "pediapred", "pediarix", "pediatex", "pediatric crohn's disease starter package (3 count)", "pediatrics crohn's disease starter pack 40 mg/0.8 ml pen (6 count)", "pediazole", "pediculus humanus var. capitis", "pedipirox-4", "pedvaxhib", "pefloxacin", "pefloxacin mesylate", "peg & ppg-17-6 copolymer", "peg ppg116-66 copolymer", "peg-10 dimethicone (600 cst)", "peg-10 glyceryl stearate", "peg-10 glyceryl triisostearate", "peg-10 hydrogenated castor oil", "peg-10 rapeseed sterol", "peg-10 soy sterol", "peg-10 stearate", "peg-100 stearate", "peg-11 avocado glycerides", "peg-12 dilaurate", "peg-12 dimethicone (300 cst)", "peg-12 dimethicone/ppg-20 crosspolymer", "peg-12 glyceryl dimyristate", "peg-12 laurate", "peg-12 stearate", "peg-120 methyl glucose dioleate", "peg-120 stearate", "peg-14 dimethicone", "peg-15 cocamine", "peg-15 glyceryl stearate", "peg-150 disetearate", "peg-150 pentaerythrityl tetrastearate", "peg-150 stearate", "peg-150-decyl alcohol-smdi copolymer (1350 mpa.s at 3%)", "peg-175 diisostearate", "peg-20 glyceryl isostearate", "peg-20 glyceryl stearate", "peg-20 glyceryl triisostearate", "peg-20 methyl glucose sesquistearate", "peg-20 sorbitan isostearate", "peg-20 soy sterol", "peg-20 stearate", "peg-200 dilaurate", "peg-200 hydrogenated glyceryl palmate", "peg-23 glyceryl distearate", "peg-25 hydrogenated castor oil", "peg-25 propylene glycol stearate", "peg-3 alpha-linolenamide", "peg-3 distearate", "peg-3 distearoylamidoethylmonium methosulfate", "peg-3 oleate", "peg-30 castor oil", "peg-30 stearate", "peg-30-dipolyhydroxystearate", "peg-32 hydrogenated palm glycerides", "peg-32 oleate", "peg-32 stearate", "peg-3350 210 gm / potassium chloride 0.740 gm / sodium bicarbonate 2.86 gm / sodium chloride 5.6 gm powder for 2 l oral solution / 1 x bisacodyl 5 mg delayed release oral tablet", "peg-4 diheptanoate", "peg-4 dilaurate", "peg-4 laurate", "peg-4 rapeseedamide", "peg-4 stearate", "peg-40 hydrogenated lanolin", "peg-40 sorbitan diisostearate", "peg-40 sorbitan stearate", "peg-40 stearate", "peg-45 palm kernel glycerides", "peg-5 glyceryl stearate", "peg-5 oleate", "peg-5 soy sterol", "peg-55 hydrogenated castor oil", "peg-6 cocamide", "peg-6 isostearate", "peg-6 lauramide", "peg-6 methyl ether", "peg-6 sorbitan oleate", "peg-6 stearate", "peg-60 almond glycerides", "peg-60 glyceryl isostearate", "peg-60 glyceryl stearate", "peg-60 lanolin", "peg-60 sorbitan stearate", "peg-7 glyceryl cocoate", "peg-7 hydrogenated castor oil", "peg-7 methyl ether", "peg-75 lanolin", "peg-75 stearate", "peg-8 & smdi copolymer", "peg-8 caprylic-capric glycerides", "peg-8 dimethicone", "peg-8 dioleate", "peg-8 distearate", "peg-8 glyceryl isostearate", "peg-8 laurate", "peg-8 propylheptyl ether", "peg-8 ricinoleate", "peg-80 glyceryl cocoate", "peg-80 sorbitan laurate", "peg-80 sorbitan palmitate", "peg-80 stearate", "peg-9 diglycidyl ether and sodium hyaluronate cross polymer", "peg-9 dimethicone", "peg-9 polydimethylsiloxyethyl dimethicone", "peg-9 stearate", "peg-90 diisostearate", "peg-90 stearate", "peg-ppg-105-5 copolymer", "peg-ppg-14-4 dimethicone", "peg-ppg-14-7 dimethyl ether", "peg-ppg-15-15 dimethicone", "peg-ppg-17-18 dimethicone", "peg-ppg-18-18-dimethicone", "peg-ppg-20-15 dimethicone", "peg-ppg-20-20 dimethicone", "peg-ppg-20-6 dimethicone", "peg-ppg-25-25 dimethicone", "peg-ppg-30-160 copolymer", "peg-ppg-36-41 dimethyl ether", "peg:ppg-4-12:dimethicone", "pegademase bovine", "peganone", "pegaptanib", "pegaptanib sodium", "pegaspargase", "pegasys", "pegfilgrastim", "peginesatide", "peginesatide acetate", "peginterferon alfa-2a", "peginterferon alfa-2b", "peginterferon beta-1a", "pegintron", "pegloticase", "pegoterate", "pegoxol 7 stearate", "pegvisomant", "pegylax", "pelargonium graveolens flower oil", "pelargonium graveolens flowering top extract", "pelargonium graveolens whole extract", "pelargonium sidoides root extract", "pelvetia canaliculata extract", "pembrolizumab", "PEMEtrexed", "PEMEtrexed disodium", "PEMEtrexed disodium heptahydrate", "pemirolast", "pemirolast potassium", "pemoline", "pen-aqueous", "penbutolol", "penbutolol / piretanide", "penbutolol sulfate", "penciclovir", "penfluridol", "penicillamine", "penicillin", "penicillin g", "penicillin g benzathine", "penicillin g benzathine / penicillin g procaine", "penicillin g benzathine / penicillin g sodium", "penicillin g potassium", "penicillin g procaine", "penicillin g procaine / penicillin g sodium", "penicillin g sodium", "penicillin v", "penicillin v benzathine", "penicillin v calcium", "penicillin v potassium", "penicillium brevicompactum", "penicillium camemberti allergenic extract", "penicillium chrysogenum var. chrysogenum extract", "penicillium digitatum allergenic extract", "penicillium expansum extract", "penicillium glabrum", "penicillium italicum extract", "penicillium roquefortii allergenic extract", "penject", "penlac nail lacquer", "pennsaid", "pennyroyal oil", "penoxsulam", "pentacel", "pentadecalactone", "pentaerythritol", "pentaerythritol / PHENobarbital", "pentaerythritol / propranolol", "pentaerythritol tetrakis(3-(3,5-di-tert-butyl-4-hydroxyphenyl)propionate)", "pentaerythritol tetranitrate", "pentaerythrityl distearate", "pentaerythrityl tetrabehenate", "pentaerythrityl tetracaprylate-tetracaprate", "pentaerythrityl tetraethylhexanoate", "pentaerythrityl tetraisostearate", "pentaerythrityl tetraoleate", "pentaerythrityl tetrastearate", "pentafluoropropane", "pentagastrin", "pentam", "pentamidine", "pentamidine isethionate", "pentane", "pentasa", "pentasol", "pentastarch", "pentazocine", "pentazocine hydrochloride", "pentazocine lactate", "pentetate", "pentetate calcium", "pentetate calcium trisodium", "pentetate indium disodium,in-111", "pentetate pentasodium", "pentetate zinc trisodium", "pentetic acid", "pentetreotide", "pentifylline", "pentigide", "PENTobarbital", "PENTobarbital / Phenytoin", "PENTobarbital Sodium", "pentosan polysulfate", "pentosan polysulfate / troxerutin / xanthinol", "pentosan polysulfate / urea", "pentosan polysulphate sodium", "pentostam", "pentostatin", "pentothal", "pentoxifylline", "pentoxifylline / procyanidolic oligomer", "pentoxil", "pentylamine", "pentylenetetrazole", "pep-back", "pepcid", "pepcid complete", "pepper extract", "pepper tree pollen extract", "peppermint allergenic extract", "peppermint oil", "peppermint oil / sage oil", "peppermint preparation", "pepsin a", "pepsodent", "peptide hydrolases", "pepto diarrhea control", "pepto-bismol", "pepto-bismol 5 symptom digestive relief pack", "pepto-bismol children's", "pepto-bismol pack with instacool chewable tablets", "pepto-bismol to-go combo pack", "peptone,dried", "peptones", "peptostreptococcus anaerobius", "peramivir", "peramivir anhydrous", "perampanel", "perampanel 2/4 2 week sample pack", "perampanel 4/6 2 week sample pack", "perazine", "perazine dimalonate", "percara original", "perch allergenic extract", "percocet", "percodan reformulated may 2009", "percogesic backache", "percogesic reformulated jan 2011", "percorten v", "percy medicine", "perdiem", "perdiem overnight", "perennial rye grass pollen extract", "perfect choice", "perfect choice one minute", "perfect coat", "perflexane", "perfluorooctyl triethoxysilane", "perfluoroperhydrophenanthrene", "perfluoropolymethylisopropyl ether", "perflutren", "perform", "perforomist", "pergolide", "pergolide mesylate", "perhexiline", "perhexiline maleate", "peri-colace reformulated feb 2008", "periciazine", "peridex", "perifoam", "perigiene", "periguard", "perilla frutescens fruit extract", "perilla frutescens leaf extract", "perilla frutescens leaf oil", "perilla frutescens seed extract", "perilla frutescens seed oil", "perillaldehyde", "perindopril", "perindopril arginine", "perindopril erbumine", "perindoprilat", "perineze triple dye", "perio med", "periochip", "perioe breath care", "perioe cavity care", "periogard", "periostat", "periploca sepium root bark extract", "perjeta", "permapen", "permax", "permethrin", "pernox scrub cleanser", "perox hv-105", "perox-102", "perox-105", "perox-400", "perox-50", "perox-aid", "peroxi-fresh", "peroxidase", "peroxyl", "perphenazine", "perphenazine enanthate", "persa-gel", "persantine", "persea americana leaf extract", "persea americana seed butter extract", "persicaria punctata extract", "persicaria tinctoria leaf extract", "persicaria tinctoria top extract", "persimmon extract", "pert plus dandruff", "pertofrane", "pertussis vaccine", "pertussis vaccine,adsorbed", "pertuzumab", "pertzye", "peruvian balsam", "peruvian balsam / trypsin", "pet pectillin", "pet-ema", "petarmor anti-itch", "petasites fragrans extract", "petasites hybridus leaf extract", "petasites hybridus root extract", "petasites japonicus root extract", "petiveria alliacea preparation", "petiveria alliacea root extract", "petiveria alliacea whole extract", "petrem", "petrolatum", "petrolatum / resorcinol", "petrolatum / salicylic acid", "petrolatum / vitamin e", "petrolatum / zinc oxide", "petroleum alkylate", "petroleum distillate", "petroleum distillate / piperonyl butoxide / pyrethrins", "petroleum preparation", "petroleum preparation / piperonyl butoxide / pyrethrins", "petroselinum crispum extract", "petroselinum crispum root extract", "pettrust plus", "peucedanum ostruthium leaf extract", "peucedanum praeruptorum root extract", "peumus boldus leaf extract", "pexeva", "pfaffia paniculata root extract", "pfizerpen", "phaeodactylum tricornutum extract", "pharbetol", "pharmasal", "pharmaseb", "phazyme", "pheasant feather extract", "phellinus linteus mycelium extract", "phellinus linteus whole extract", "phellodendron amurense bark extract", "phellodendron amurense whole extract", "phellodendron chinensis bark extract", "phen tuss dm", "phen-lax", "phen-tuss ad", "phena-hc", "phenabid", "phenacemide", "phenacetin", "phenadoz", "phenazo", "phenazocine", "phenazocine hydrobromide", "phenazopyridine", "phenazopyridine / sulfamethizole", "phenazopyridine / sulfamethoxazole", "phenazopyridine / sulfamethoxazole / trimethoprim", "phenazopyridine / sulfanilylurea", "Phenazopyridine / sulfiSOXAZOLE", "phenazopyridine / terizidone", "phenazopyridine hydrochloride", "phendiet", "phendiet 105", "phendimetrazine", "phendimetrazine hydrochloride", "phendimetrazine tartrate", "pheneen", "phenelzine", "phenelzine sulfate", "phenergan", "phenethicillin", "phenethyl benzoate", "phenethylamine", "phenethylamine hydrochloride", "phenformin", "phenformin hydrochloride", "phenicarbazide", "phenindamine", "phenindamine tartrate", "phenindione", "pheniramine", "pheniramine / phenylephrine", "pheniramine / phenylpropanolamine", "pheniramine / phenylpropanolamine / phenyltoloxamine / pyrilamine", "pheniramine / phenylpropanolamine / pyrilamine", "pheniramine / phenyltoloxamine / pseudoephedrine / pyrilamine", "pheniramine / phenyltoloxamine / pyrilamine", "pheniramine aminosalicylate", "pheniramine maleate", "phenmetrazine", "phenmetrazine hydrochloride", "phenmetrazine theoclate", "PHENobarbital", "PHENobarbital / Phenytoin", "PHENobarbital / pipenzolate", "PHENobarbital / Potassium Iodide / Sodium Bicarbonate / Theobromine", "PHENobarbital / Propantheline", "PHENobarbital / Sodium Nitrite", "PHENobarbital quiNIDine", "PHENobarbital Sodium", "phenol", "phenol / resorcinol", "phenol / scarlet red", "phenol / tannic acid", "phenol / zinc oxide", "phenolate", "phenolate sodium", "phenolphthalein", "phenolphthalein / rhubarb preparation", "phenolphthalein / sennosides, usp", "phenolsulfonate", "phenolsulfonic acid", "phenolsulfonphthalein", "phenoperidine", "phenoperidine hydrochloride", "phenothrin", "phenoxyacetate", "phenoxyacetic acid", "phenoxybenzamine", "phenoxybenzamine hydrochloride", "phenoxyethanol", "phenoxyethyl caprylate", "phenoxyisopropanol", "phenprocoumon", "phensuximide", "phentercot", "phentermine", "phentermine / topiramate", "phentermine hydrochloride", "phentermine resin", "phentolamine", "phentolamine mesylate", "phenyl butyrate", "phenyl methicone (500 cst)", "phenyl salicyate", "phenyl salicylate", "phenyl trimethicone", "phenylacetaldehyde", "phenylacetate", "phenylacetic acid", "phenylalanine", "phenylalanine,dl-", "phenylbutazone", "phenylbutazone / salicylamide", "phenylbutazone piperazine", "phenylbutazone sodium", "phenylbutyrate", "phenylehrine", "phenylehrine / zinc sulfate", "phenylephrine", "phenylephrine / phenylpropanolamine / pseudoephedrine", "phenylephrine / polyvinyl alcohol", "phenylephrine / pramoxine", "Phenylephrine / prednisoLONE", "Phenylephrine / prednisoLONE / Sulfacetamide", "phenylephrine / promethazine", "phenylephrine / pyrilamine", "phenylephrine / scopolamine", "phenylephrine / shark liver oil", "phenylephrine / sulfacetamide", "phenylephrine / sulfated mucopolysaccharides", "phenylephrine / thenyldiamine", "phenylephrine / thonzylamine", "phenylephrine / triprolidine", "phenylephrine / tropicamide", "phenylephrine / witch hazel", "phenylephrine / zinc oxide", "phenylephrine / zinc sulfate", "phenylephrine bitartrate", "phenylephrine hydrochloride", "phenylephrine tannate", "phenylethyl alcohol", "phenylethyl resorcinol", "phenylhistine dh", "phenylhistine expectorant", "phenylhydrazine", "phenylhydrazine hydrochloride", "phenylisohexanol", "phenylisothiocyanate", "phenylmercuric acetate", "phenylmercuric nitrate", "phenylmercury", "phenylpropanolamine", "phenylpropanolamine / phenyltoloxamine", "phenylpropanolamine / pyrilamine", "phenylpropanolamine bitartrate", "phenylpropanolamine hydrochloride", "phenyltoloxamine", "phenyltoloxamine / pholcodine", "phenyltoloxamine citrate", "phenyltoloxamine polistirex", "phenyltoloxamine resin complex", "phenytek", "phenytoin", "phenytoin sodium", "philith 28 day pack", "phillips milk of magnesia", "phillips stool softener", "phillips' cramp-free", "phisoderm clear confidence body wash", "phisoderm clear confidence daily gel face wash", "phisoderm clear confidence spot treatment", "phisohex", "phleum pratense top extract", "phloretin", "phlorhizin", "phloroglucinol", "phloroglucinol / trimethobenzamide", "phloroglucinol / trimethoxybenzene", "phloroglucinol / trimethylphloroglucinol", "phoenix dactylifera seed extract", "pholcodine", "pholcodine / promethazine", "pholcodine / promethazine / pseudoephedrine", "pholcodine / pseudoephedrine", "pholcodine / squill extract", "pholedrine", "pholedrine sulfate", "phoma destructiva allergenic extract", "phoma exigua var. exigua extract", "phoma extract", "phoma glomerata allergenic extract", "phormidium persicinum extract", "phos-flur", "phoslo", "phoslyra", "phospha 250 neutral", "phosphasal", "phosphate ion", "phosphatidylethanolamines", "phosphatidylinositols", "phosphatidylserine", "phosphocellulose", "phosphocysteamine", "phospholine iodide", "phospholipid,beef", "phospholipids", "phospholipids / proteins", "phospholipids / soybean oil", "phospholipids / soybean preparation", "phosphonic acid", "phosphoramidic acid", "phosphoric acid", "phosphoric acid / sodium fluoride", "phosphorus", "phosphorus / potassium", "phosphorus 32", "photofrin", "phragmites australis root extract", "phragmites australis whole extract", "phrenilin", "phthalylsulfacetamide", "phthalylsulfathiazole", "phyllanthus emblica fruit extract", "phyllanthus emblica fruit juice extract", "phyllanthus niruri top extract", "phyllanthus niruri whole extract", "phyllostachys nigra sap extract", "phyllostachys reticulata resin", "physalia physalis preparation", "physalis alkekengi calyx extract", "physalis alkekengi fruit extract", "physalis angulata extract", "physiolyte", "physiosol", "physostigma venenosum seed extract", "physostigmine", "physostigmine / pilocarpine", "physostigmine salicylate", "physostigmine sulfate", "phytase", "phytic acid", "phytolacca americana fruit extract", "phytolacca americana root extract", "phytolacca americana whole extract", "phytosphingosine", "phytosphingosine hydrochloride", "phytosterol esters", "phytosterols", "phytosterols / saw palmetto extract", "picato", "picea abies flower bud extract", "picea abies leaf extract", "picea abies wood extract", "picea mariana leaf oil", "picea mariana resin extract", "pichia jadinii extract", "picolinic acid", "picosulfate sodium", "picosulfurate", "picosulfuric acid", "picot", "picrasma quassioides wood extract", "picrate", "picric acid", "pidotimod", "piellia ternata whole extract", "pigment orange 2", "pigment red 48", "pigment red 5", "pigment yellow 138", "pigment yellow 3", "pignut hickory pollen extract", "pikea robusta extract", "piketoprofen", "pileran", "pilocar", "pilocarpine", "pilocarpine / timolol", "pilocarpine hydrochloride", "pilocarpine nitrate", "pilocarpus jaborandi leaf extract", "pilocarpus microphyllus leaf extract", "pilopine", "pimagedine", "pimagedine hydrochloride", "pimecrolimus", "pimethixene", "pimobendan", "pimozide", "pimpinella anisum extract", "pimpinella saxifraga root extract", "pimtrea 28 day pack", "pin oak pollen extract", "pin-x", "pinacidil", "pinaverium", "pinaverium bromide", "pindolol", "pine bark extract", "pine needle oil (pinus mugo)", "pine needle oil (pinus sylvestris)", "pine tar", "pineapple allergenic extract", "pineapple extract", "pinellia ternata root extract", "pinus densiflora bark extract", "pinus densiflora leaf extract", "pinus densiflora root extract", "pinus koraiensis seed oil", "pinus lambertiana resin", "pinus massoniana resin", "pinus mugo subsp. mugo bark extract", "pinus palustris leaf extract", "pinus strobus bark extract", "pinus sylvestris bark extract", "pinus sylvestris cone extract", "pinus sylvestris flowering top extract", "pinus sylvestris leafy twig", "pinus tabuliformis bark extract", "pinus taeda bark extract", "pinus thunbergii whole extract", "pioglitazone", "pioglitazone hydrochloride", "pipamperone", "pipamperone dihydrochloride", "pipazethate", "pipazethate hcl", "pipecuronium", "pipecuronium bromide", "pipemidate", "pipemidic acid", "pipenzolate", "pipenzolate / simethicone", "pipenzolate bromide", "piper aduncum leaf extract", "piper betle leaf extract", "piper cubeba fruit extract", "piper kadsura stem extract", "piper methysticum root extract", "piper methysticum whole extract", "piperacetazine", "piperacillin", "piperacillin / tazobactam", "piperacillin anhydrous", "piperacillin sodium", "piperazine", "piperazine adipate", "piperazine citrate", "piperazine hexahydrate", "piperazine hydrate", "piperazine phosphate", "piperazine sulfate", "piperazine, 1-(4'-methoxy(1,1'-biphenyl)-2-yl)-", "piperidinepropionic acid", "piperidolate", "piperidolate hydrochloride", "piperine", "piperocaine", "piperonal", "piperonyl butoxide", "piperonyl butoxide / pyrethrins", "piperonyl butoxide / pyrethrum extract", "pipobroman", "pipothiazine", "pipotiazine palmitate", "pipoxolan", "pipoxolan hcl", "pipracil", "piprozoline", "piracetam", "pirarubicin", "pirbuterol", "pirbuterol acetate", "pirbuterol hcl", "pirenoxine", "pirenzepine", "pirenzepine / ranitidine", "pirenzepine hydrochloride", "piretanide", "piretanide / ramipril", "pirfenidone", "piribedil", "piribedil mesylate", "pirinitramide", "pirisudanol maleate", "pirlimycin", "pirlimycin hydrochloride", "pirmella 1/35 28 day pack", "pirmella 7/7/7 28 day pack", "piroctone olamine", "piroctone olamine / salicylic acid", "piroxicam", "Piroxicam / predniSONE", "piroxicam / vitamin b 12", "piroxicam cinnamate", "piroxicam-beta-cyclodextrin", "pirsue", "piscidia piscipula root bark extract", "pistachio nut allergenic extract", "pistachio oil", "pistacia lentiscus resin", "pistacia lentiscus seed oil", "pisum sativum (pea) extract", "pitavastatin", "pitavastatin calcium", "pitch pine pollen extract", "pitocin", "pitressin", "pivalic acid", "pivampicillin", "pivampicillin hydrochloride", "pivmecillinam hydrochloride", "pizotyline", "pizotyline malate", "placebo", "plains cottonwood pollen extract", "plak smacker", "plan b one-step", "plan b pack", "planatus occidentalis bark extract", "plant stanol ester", "plantago asiatica extract", "plantago lanceolata leaf extract", "plantago major extract", "plantago major leaf extract", "plantago major seed extract", "plantago ovata seed extract", "plantago seed", "plantago seed / sennosides, usp", "plantain preparation", "plaque hd", "plaquenil", "plasbumin", "plasma protein fraction", "plasma-lyte 148", "plasma-lyte 148 in 5 % dextrose", "plasma-lyte 56", "plasma-lyte 56 in 5 % dextrose", "plasma-lyte m in 5 % dextrose", "plasma-lyte r", "plasma-lyte r in 5 % dextrose", "plasmalyte a", "plasmanate", "plasmin", "plasmodium malariae", "platanus occidentalis whole extract", "platanus x acerifolia whole extract", "platinic chloride", "platinic chloride hexahydrate", "platinic iodide", "platinol", "platinum", "platostoma chinensis whole extract", "platycladus orientalis leaf extract", "platycladus orientalis pollen extract", "platycladus orientalis seed extract", "platycodon grandiflorum leaf extract", "platycodon grandiflorum root extract", "plavix", "pleasure balm", "plectranthus barbatus root extract", "plectranthus barbatus whole extract", "plegridy", "plegridy pen starter pack", "plegridy starter pack", "plenamine", "plendil", "pleo alkala", "pleospora herbarum extract", "plerixafor", "pletal", "plexion", "pliaglis", "plicamycin", "plukenetia volubilis seed oil", "plum allergenic extract", "plum preparation", "plum seed oil", "plumeria extract", "plumeria rubra flower extract", "pluratuss", "plus white", "pluset", "plutonium", "pneumococcal capsular polysaccharide type 1 vaccine", "pneumococcal capsular polysaccharide type 1 vaccine / pneumococcal capsular polysaccharide type 10a vaccine / pneumococcal capsular polysaccharide type 11a vaccine / pneumococcal capsular polysaccharide type 12f vaccine / pneumococcal capsular polysaccharide type 14 vaccine / pneumococcal capsular polysaccharide type 15b vaccine / pneumococcal capsular polysaccharide type 17f vaccine / pneumococcal capsular polysaccharide type 18c vaccine / pneumococcal capsular polysaccharide type 19a vaccine / pneumococcal capsular polysaccharide type 19f vaccine / pneumococcal capsular polysaccharide type 2 vaccine / pneumococcal capsular polysaccharide type 20 vaccine / pneumococcal capsular polysaccharide type 22f vaccine / pneumococcal capsular polysaccharide type 23f vaccine / pneumococcal capsular polysaccharide type 3 vaccine / pneumococcal capsular polysaccharide type 33f vaccine / pneumococcal capsular polysaccharide type 4 vaccine / pneumococcal capsular polysaccharide type 5 vaccine / pneumococcal capsular polysaccharide type 6b vaccine / pneumococcal capsular polysaccharide type 7f vaccine / pneumococcal capsular polysaccharide type 8 vaccine / pneumococcal capsular polysaccharide type 9n vaccine / pneumococcal capsular polysaccharide type 9v vaccine", "pneumococcal capsular polysaccharide type 10a vaccine", "pneumococcal capsular polysaccharide type 11a vaccine", "pneumococcal capsular polysaccharide type 12f vaccine", "pneumococcal capsular polysaccharide type 14 vaccine", "pneumococcal capsular polysaccharide type 15b vaccine", "pneumococcal capsular polysaccharide type 17f vaccine", "pneumococcal capsular polysaccharide type 18c vaccine", "pneumococcal capsular polysaccharide type 19a vaccine", "pneumococcal capsular polysaccharide type 19f vaccine", "pneumococcal capsular polysaccharide type 2 vaccine", "pneumococcal capsular polysaccharide type 20 vaccine", "pneumococcal capsular polysaccharide type 22f vaccine", "pneumococcal capsular polysaccharide type 23f vaccine", "pneumococcal capsular polysaccharide type 3 vaccine", "pneumococcal capsular polysaccharide type 33f vaccine", "pneumococcal capsular polysaccharide type 4 vaccine", "pneumococcal capsular polysaccharide type 5 vaccine", "pneumococcal capsular polysaccharide type 6b vaccine", "pneumococcal capsular polysaccharide type 7f vaccine", "pneumococcal capsular polysaccharide type 8 vaccine", "pneumococcal capsular polysaccharide type 9n vaccine", "pneumococcal capsular polysaccharide type 9v vaccine", "pneumovax 23", "poa pratensis top extract", "podactin", "podocon", "podofilox", "podophyllin", "podophyllin / salicylic acid", "podophyllum peltatum preparation", "podophyllum peltatum root extract", "podophyllum preparation", "pogostemon cablin top extract", "pogostemon cablin whole extract", "poison ivy extract", "pokeweed preparation", "polacrilin", "polacrilin potassium", "polacrillin", "polacrillin potassium", "polar freeze", "polar frost", "polarcrillin", "polarcrillin sodium", "polawax polysorbate", "poldine", "poldine methylsulfate", "policosanol", "policresulen", "polidocanol", "polidronium", "polidronium chloride", "polifeprosan 20", "polignate sodium", "poliovirus vaccine inactivated, type 1 (mahoney)", "poliovirus vaccine inactivated, type 1 (mahoney) / poliovirus vaccine inactivated, type 2 (mef-1) / poliovirus vaccine inactivated, type 3 (saukett)", "poliovirus vaccine inactivated, type 2 (mef-1)", "poliovirus vaccine inactivated, type 3 (saukett)", "polistirex", "polixetonium", "polocaine", "poloxalene", "poloxamer", "poloxamer 124", "poloxamer 181", "poloxamer 182", "poloxamer 184", "poloxamer 188", "poloxamer 234", "poloxamer 237", "poloxamer 331", "poloxamer 335", "poloxamer 338", "poloxamer 403", "poloxamer 407", "poloxamer 407 / simethicone", "poly hist cb", "poly hist dhc", "poly hist forte reformulated nov 2013", "poly hist hc", "poly hist nc", "poly hist pd", "poly iron 150 forte", "poly tussin ex", "poly tussin xp", "poly(dl-lactic-co-glycolic acid), (50:50; 12000 mw)", "poly(dl-lactic-co-glycolic acid), (50:50; 63000 mw)", "poly(lactic-co-glycolic acid) (50/50, 0.45-0.6 dl/g inherent viscosity)", "poly(lactic-co-glycolic acid) (75/25, 0.23-0.26 dl/g inherent viscosity)", "poly(lactic-co-glycolic acid) (85/15, 0.25-0.27 dl/g inherent viscosity)", "poly(lactide)", "poly(methyl acrylate-co-methyl methacrylate-co-methacrylic acid 7:3:1; 280000 mw)", "poly(methyl methacrylate; 450000 mw)", "poly(n-acetyl, n-arginyl)glucosamine (50000-80000 mw)", "poly(sodium vinyl sulfonate)", "poly(vinylpyrrolidone-co-vinyl-acetate)", "poly-dex", "poly-tussin", "poly-tussin ac", "poly-vi-sol", "poly-vi-sol with iron", "polyacrylamide (10000 mw)", "polyacrylamide (1300000 mw)", "polyacrylamide (1500 mw)", "polyacrylamide (crosslinked; 0.01-0.2 mole percent bisacrylamide)", "polyacrylate", "polyacrylic acid (250000 mw)", "polyacrylic acid (300000 mw)", "polyacrylic acid (450000 mw)", "polyacrylic acid (8000 mw)", "polyacrylic acid (800000 mw)", "polyaminopropyl biguanide", "polybutene (1400 mw)", "polycin-b", "polydatin", "polydextrose", "polyester-10", "polyester-7", "polyester-8 (1400 mw, cyanodiphenylpropenoyl capped)", "polyestradiol", "polyestradiol phosphate", "polyethyelene glycol 7000", "polyethylene glycol 1000", "polyethylene glycol 1000000", "polyethylene glycol 11000", "polyethylene glycol 14000", "polyethylene glycol 1450", "polyethylene glycol 1500", "polyethylene glycol 200", "polyethylene glycol 2000", "polyethylene glycol 2000000", "polyethylene glycol 300", "polyethylene glycol 3000", "polyethylene glycol 300000", "polyethylene glycol 3350", "polyethylene glycol 3350 / potassium chloride / sodium bicarbonate / sodium chloride", "polyethylene glycol 3350 / potassium chloride / sodium bicarbonate / sodium chloride / sodium sulfate", "polyethylene glycol 350", "polyethylene glycol 3500", "polyethylene glycol 35000", "polyethylene glycol 400", "polyethylene glycol 400 / polyvinyl alcohol", "polyethylene glycol 400 / propylene glycol", "polyethylene glycol 400 / tetrahydrozoline", "polyethylene glycol 4000", "polyethylene glycol 400000", "polyethylene glycol 4000000", "polyethylene glycol 450", "polyethylene glycol 4500", "polyethylene glycol 500", "polyethylene glycol 600", "polyethylene glycol 6000", "polyethylene glycol 600000", "polyethylene glycol 700", "polyethylene glycol 7000000", "polyethylene glycol 800", "polyethylene glycol 8000", "polyethylene glycol 8000000", "polyethylene glycol 900", "polyethylene glycol 9000", "polyethylene glycol 900000", "polyethylene glycols", "polyethylene glycols / polyvinyl alcohol", "polyethylene glycols / propylene glycol", "polyethylenes", "polyflex", "polygala senega root extract", "polygala senega whole extract", "polygala tenuifolia root extract", "polygam s/d", "polygeline", "polyglucose sorbitol carboxymethyl ether", "polyglycerin-10", "polyglycerin-3", "polyglycerin-4", "polyglycerin-6", "polyglycerol polyricinoleic acid", "polyglyceryl-10 decaoleate", "polyglyceryl-10 hexaoleate", "polyglyceryl-10 laurate", "polyglyceryl-10 oleate", "polyglyceryl-10 stearate", "polyglyceryl-2 diisostearate", "polyglyceryl-2 dipolyhydroxystearate", "polyglyceryl-2 monoisostearate", "polyglyceryl-2 triisostearate", "polyglyceryl-3 diisostearate", "polyglyceryl-3 dioleate", "polyglyceryl-3 distearate", "polyglyceryl-3 laurate", "polyglyceryl-3 oleate", "polyglyceryl-3 polydimethylsiloxyethyl dimethicone (4000 mpa.s)", "polyglyceryl-3 ricinoleate", "polyglyceryl-4 isostearate", "polyglyceryl-4 oleate", "polyglyceryl-6 distearate", "polyglyceryl-6-dioleate", "polygonatum biflorum root etxract", "polygonatum cyrtonema root extract", "polygonatum multiflorum root extract", "polygonatum multiflorum whole extract", "polygonatum odoratum root extract", "polygonatum odoratum whole extract", "polygonatum sibiricum root extract", "polygonum arenastrum whole extract", "polygonum aviculare top extract", "polygonum bistorta root extract", "polygonum cuspidatum leaf extract", "polygonum cuspidatum root extract", "polygonum cuspidatum whole extract", "polyhexanide", "polyhydroxystearic acid (2300 mw)", "polyisobutylene (1000 mw)", "polyisobutylene (1100000 mw)", "polyisobutylene (1300 mw)", "polyisobutylene (200000 mw)", "polyisobutylene (2300 mw)", "polyisobutylene (35000 mw)", "polyisobutylene (400000 mw)", "polyisobutylene (75000 mw)", "polyisobutylene (800000 mw)", "polylactic acid-polyglycolic acid copolymer", "polymetaphosphate", "polymethylsilsesquioxane (11 microns)", "polymethylsilsesquioxane (4.5 microns)", "polymyxin b", "polymyxin b / triamcinolone", "polymyxin b / trimethoprim", "polymyxin b sulfate", "polynoxylin", "polyoxyethylene ether", "polyoxyethylene ether / sulfur", "polyoxyethylene-24-cholesteryl ether", "polyoxyl 20 cetostearyl ether", "polyoxyl 35 castor oil", "polyoxyl 40 castor oil", "polyoxyl 40 hydrogenated castor oil", "polyoxyl 40 stearate", "polyoxyl 50 hydrogenated castor oil", "polyoxyl 60 castor oil", "polyoxyl 60 hydrogenated castor oil", "polyoxyl 8 stearate", "polypodium leucotomos", "polyquaternium 37 (200 mpa.s)", "polyquaternium-10 (1000 mpa.s at 2%)", "polyquaternium-10 (125 mpa.s at 2%)", "polyquaternium-10 (30000 mpa.s at 2%)", "polyquaternium-10 (400 cps at 2%)", "polyquaternium-11 (1000000 mw)", "polyquaternium-16 (n-vinylpyrrolidinone:3-methyl-1-vinylimidazolium chloride (5:5))", "polyquaternium-22 (4500 mpa.s)", "polyquaternium-28 (1100000 mw)", "polyquaternium-32 (30000 mpa.s at 2%)", "polyquaternium-37 (10000 mpa.s)", "polyquaternium-37 (25000 mpa.s)", "polyquaternium-37 (3000 mpa.s)", "polyquaternium-39 (22.5-51-26.5 acrylic acid-acrylamide-dadmac; 1600000 mw)", "polyquaternium-39 (31-40-29 acrylic acid-acrylamide-dadmac; 1500000 mw)", "polyquaternium-39 (35-35-30 acrylic acid-acrylamide-dadmac; 1500000 mw)", "polyquaternium-47 (methacrylamidopropyltrimethylammonium chloride-co-methyl acrylate-co-acrylic acid 45:10:45; 1200000 mw)", "polyquaternium-51 (2-methacryloyloxyethyl phosphorylcholine-n-butyl methacrylate; 4:1)", "polyquaternium-51 (2-methacryloyloxyethyl phosphorylcholine:n-butyl methacrylate; 3:7)", "polyquaternium-53", "polyquaternium-6 (15000 mw)", "polyquaternium-7 (70-30 acrylamide-dadmac; 1600 kd)", "polyquaternium-7 (70-30 acrylamide-dadmac; 900 kd)", "polyquaternium-7 (76-24 acrylamide-dadmac; 120 kd)", "polysaccharide iron complex", "polysilicone-15", "polysorbate 20", "polysorbate 40", "polysorbate 60", "polysorbate 65", "polysorbate 80", "polysorbate 85", "polysorbates", "polysporin", "polystyrene sulfonate", "polystyrene sulfonic acid", "polysulfated glycosaminoglycan", "polytetrafluoroethylene", "polythiazide", "polythiazide / prazosin", "polythiazide / reserpine", "polytrim", "polyurethane-34 (40 mpa)", "polyvalent crotalidae antivenin", "polyvinyl acetate", "polyvinyl acetate phthalate", "polyvinyl alcohol", "polyvinyl alcohol / povidone", "polyvinyl alcohol / povidone / tetrahydrozoline", "pomalidomide", "pomalyst", "pomegranate extract", "pomegranate fruit extract", "pomegranate fruit rind extract", "pomegranate juice", "pomegranate seed oil", "ponatinib", "ponatinib hydrochloride", "ponazuril", "poncirus trifoliata fruit extract", "pongamol", "ponstel", "pontocaine", "poppy seed allergenic extract", "poppy seed oil", "populus balsamifera leaf bud extract", "populus tremula flowering top extract", "populus tremula whole extract", "populus tremuloides bark extract", "populus tremuloides leaf extract", "poractant alfa", "porcelana night skin lightening", "porcine heart preparation", "pore rescue", "porfimer sodium", "pork allergenic extract", "pork brain preparation", "pork collagen preparation", "pork intestine preparation", "pork kidney preparation", "pork liver preparation", "porphyra umbilicalis extract", "porphyra yezoensis extract", "porphyridium purpureum extract", "portia 28 day pack", "portulaca grandiflora seed extract", "portulaca grandiflora whole extract", "portulaca oleracea leaf extract", "portulaca oleracea whole extract", "portulaca oreracea seed extract", "posaconazole", "posiflush", "post oak pollen extract", "posterior pituitary hormones", "posture-d h/p", "potaba", "potash", "potassium", "potassium acetate", "potassium acetate / potassium bicarbonate / potassium citrate", "potassium aminobenzoate", "potassium arsenite", "potassium arsenite anhydrous", "potassium ascorbate", "potassium ascorbyl tocopheryl phosphate", "potassium asparaginate", "potassium aspartate", "potassium azeloyl diglycinate", "potassium behenoyl hydroxyproline", "potassium benzoate", "potassium bicarbonate", "potassium bicarbonate / potassium citrate", "potassium bicarbonate / potassium tartrate", "potassium bicarbonate / sodium bicarbonate", "potassium bicarbonate / sodium bicarbonate / sodium citrate", "potassium bisulfite", "potassium bitartrate", "potassium bitartrate / sodium bicarbonate", "potassium bromate", "potassium bromide", "potassium carbonate", "potassium carbonate 1 1/2 hydrate", "potassium cetyl phosphate", "potassium chlorate", "potassium chloride", "potassium chloride / potassium gluconate", "potassium chloride / rauwolfia preparation", "potassium chloride / sodium chloride", "potassium chromate(vi)", "potassium citrate", "potassium citrate / potassium gluconate", "potassium citrate / sodium citrate", "potassium citrate anhydrous", "potassium citrate monohydrate", "potassium cocoate", "potassium cocoyl glutamate", "potassium cocoyl glycinate", "potassium dichromate", "potassium estrone", "potassium glucoheptonate", "potassium gluconate", "potassium gluconate / vitamin b6", "potassium guaiacolsulfonate", "potassium hydroxide", "potassium hydroxyquinoline sulfate", "potassium iodate", "potassium iodide", "potassium iodide / theophylline", "potassium iodide / thyroxine", "potassium ion", "potassium lactate", "potassium lauryl phosphate", "potassium lauryl sulfate", "potassium mercuric iodide", "potassium metabisulfite", "potassium metaphosphate", "potassium methoxysalicylate", "potassium methylparaben", "potassium nitrate", "potassium nitrate / silver nitrate", "potassium nitrate / sodium fluoride", "potassium nitrite", "potassium oleate", "potassium orotate", "potassium oxide", "potassium oxyquinolone", "potassium palmitate", "potassium perchlorate", "potassium permanganate", "potassium phenethicillin", "potassium phosphate", "potassium phosphate / sodium phosphate, dibasic", "potassium phosphate / sodium phosphate, dibasic / sodium phosphate, monobasic", "potassium phosphate / sodium phosphate, monobasic", "potassium phosphate / sodium phosphate, monobasic, anhydrous", "potassium pyrophosphate", "potassium salicylate", "potassium silicate", "potassium sodium tartrate", "potassium sorbate", "potassium stearate", "potassium sulfate", "potassium sulfide", "potassium sulfooleate", "potassium tartrate", "potassium tartrate / sodium bicarbonate", "potassium thiocyanate", "potassium triiodide", "potassium,chelated", "potato allergenic extract", "potato starch", "potentilla anserina whole extract", "potentilla erecta root extract", "potiga", "poverty weed pollen extract", "poviderm", "povidone", "povidone (k-30) simethicone emulsion", "povidone / tetracycline", "povidone / tetrahydrozoline", "povidone k12", "povidone k15", "povidone k17", "povidone k25", "povidone k25-28", "povidone k29-32", "povidone k30", "povidone k90", "povidone-iodine", "ppg 12 buteth 16", "ppg-1 trideceth-6", "ppg-1-peg-9 lauryl glycol ether", "ppg-10 cetyl ether", "ppg-10 methyl glucose ether", "ppg-11 stearyl ether", "ppg-12-peg-50 lanolin", "ppg-12-smdi copolymer", "ppg-14 butyl ether", "ppg-14 palmeth-60 hexyl dicarbamate", "ppg-15 stearyl ether", "ppg-15 stearyl ether benzoate", "ppg-17", "ppg-2 hydroxyethyl cocamide", "ppg-2 hydroxyethyl cocamide/isostearamide", "ppg-2 hydroxyethyl stearamide", "ppg-2 isoceteth-20 acetate", "ppg-2 methyl ether", "ppg-2 myristyl ether propionate", "ppg-20 methyl glucose ether", "ppg-20 methyl glucose ether distearate", "ppg-24-glycereth-24", "ppg-25-laureth-25", "ppg-26", "ppg-26-buteth-26", "ppg-3 benzyl ether ethylhexanoate", "ppg-3 benzyl ether myristate", "ppg-3 myristyl ether", "ppg-30", "ppg-5-ceteth-20", "ppg-51/smdi copolymer", "ppg-9", "practolol", "pradaxa", "pradofloxacin", "prairie sagebrush pollen extract", "prajmaline", "prajmalium bitartrate", "PRALAtrexate", "pralidoxime", "pralidoxime cation", "pralidoxime chloride", "pralidoxime iodide", "pralidoxime mesylate", "pralmorelin", "pralmorelin dihydrochloride", "praluent", "pramcort", "pramegel reformulated apr 2012", "pramipexole", "pramipexole dihydrochloride", "pramiverine", "pramlintide", "pramlintide acetate", "pramosone", "pramotic", "pramox", "pramoxine", "pramoxine / salicyloyl phytosphingosine", "pramoxine / zinc acetate", "pramoxine / zinc oxide", "pramoxine / zinc sulfate", "pramoxine hydrochloride", "prandimet", "prandin", "prascend", "prascion", "praseodymium", "prasterone sodium sulfate", "prasugrel", "prasugrel hydrochloride", "pravachol", "pravastatin", "pravastatin sodium", "prax", "praxbind", "prazepam", "praziquantel", "praziquantel / pyrantel", "prazosin", "prazosin hydrochloride", "pre milk", "pre milk iod", "pre milk iod 1.0", "precedex", "precose", "pred forte", "pred mild", "pred-g", "predator", "predef", "prednazoline", "prednicarbate", "prednicot", "prednimustine", "prednisol", "prednisoLONE", "prednisoLONE / PROPYLENE GLYCOL SALICYLATE", "prednisoLONE / Rifamycins", "prednisoLONE / Salicylic Acid", "prednisoLONE / Sulfacetamide", "prednisoLONE / Trimeprazine", "prednisoLONE / Zinc Oxide", "prednisoLONE 5 MG Oral Tablet, 48 Tablet Pack", "prednisoLONE acetate", "prednisoLONE phosphate", "prednisoLONE sodium metasulphobenzoate", "prednisoLONE sodium phosphate", "prednisoLONE sodium succinate", "prednisoLONE tebutate", "predniSONE", "predniSONE 10 MG Oral Tablet 10 Count Pack", "predniSONE 10 MG Oral Tablet 21 Count Pack", "predniSONE 10 MG Oral Tablet 48 Count Pack", "predniSONE 5 MG Oral Tablet 21 Count Pack", "predniSONE 5 MG Oral Tablet 48 Count Pack", "prednistab", "prednylidene", "prefest 30 day pack", "prefrin", "pregabalin", "pregna-4,17-diene-3,16-dione", "pregnenolone", "pregnitude", "pregnyl", "prelief", "prelone", "premarin", "premasol", "premesis rx", "premphase 28 day pack", "prempro 0.3/1.5 28 day pack", "prempro 0.45/1.5 28 day pack", "prempro 0.625/2.5 28 day pack", "prempro 0.625/5 28 day pack", "premsyn pms", "prenexa", "prenylamine", "prenylamine lactate", "prep-hem", "preparation h", "preparation h cooling gel", "preparation h cream", "preparation h hydrocortisone", "preparation h medicated wipes", "preparation h reformulated jun 2013", "preparation h suppositories", "preparation h suppositories reformulated oct 2013", "prepidil", "prepodyne", "prepopik", "preservision", "preservision 2", "preservision with lutein", "prestalia", "pretz", "prevacid", "prevail", "prevail injectable", "prevail-fx", "prevalite", "prevantics", "previcox", "prevident", "prevident 5000 sensitive", "prevident dental rinse", "previfem 28 day pack", "prevnar", "prevnar 13", "prezatide", "prezatide copper", "prezatide copper acetate", "prezcobix", "prezista", "prialt", "pributazone", "prickly pear fruit extract", "pridinol", "pridinol / rofecoxib", "pridinol hcl", "pridinol monomesylate", "prifinium", "priftin", "prilocaine", "prilocaine hydrochloride", "PriLOSEC", "primacor", "primaquine", "primaquine phosphate", "primatene", "primatene mist inhaler", "primaxin", "primidone", "primlev", "primor", "primsol", "primula veris extract", "primula veris flower extract", "prinivil", "prinzide", "pristinamycin", "pristiq", "pritox", "privermectin", "privet pollen extract", "privigen", "privine", "pro 12 mousse", "pro dine 5000c", "pro pet antiseptic", "pro pet de wormer", "pro pet dental cleansing liquid", "pro pet dental wipes", "pro pet skin relief", "pro-pen-g", "pro-tec gold", "pro-wormer 2", "proactiv", "proactiv cleansing", "proactiv herbal conditioning", "proactiv mask", "proactiv skin lightening", "proactiv solution blackhead dissolving", "proair", "proamatine", "probanthine", "probenecid", "probucol", "procainamide", "procainamide hydrochloride", "procaine", "procaine hydrochloride", "procalamine 3", "procarbazine", "procarbazine hydrochloride", "procardia", "procaterol", "procaterol hydrochloride", "procentra", "prochieve", "prochlorperazine", "prochlorperazine edisylate salt", "prochlorperazine maleate", "prochlorperazine mesylate", "proclearz", "procomycin", "procort 1.85/1.15", "procrit", "procto-kit", "procto-pak", "proctocort", "proctocream", "proctofoam", "proctofoam-hc", "proctosol", "proctozone hc", "procure psoriapalm", "procyanidolic oligomer", "procyclidine", "procyclidine hydrochloride", "procysbi", "prodenrx", "prodenrx gel", "prodenrx rinse", "proderm", "prodip", "prodium", "prodrin", "profenal", "profenamine", "proferrin", "profilnine", "proflavine", "proflavine hemisulfate", "progabide", "progesterone", "progesterone, micronized", "proglumetacin", "proglumide", "proglumide / sulpiride", "proglycem", "prograf", "program", "proguanil", "proguanil hydrochloride", "proheart 6", "prohist cd", "prohist cf", "prohist lq", "proin", "prolactin", "prolastin", "prolensa", "proleukin", "prolex d", "prolex dh", "prolia", "prolinamidoethyl imidazole", "proline", "proline, dl-", "prolintane", "prolintane hydrochloride", "promace", "promacet", "promacot", "promacta", "promazine", "promazine hydrochloride", "promectin", "promegestone", "promestriene", "promethazine", "promethazine / pseudoephedrine", "promethazine dioxide", "promethazine hydrobromide", "promethazine hydrochloride", "promethegan", "prometrium", "promolaxin", "pronto", "pronto plus", "pronto plus lice egg remover", "pronto plus pinworm", "pronto shampoo & cream rinse", "pronto spray", "propa p.h.", "propa p.h. acne mask", "propafenone", "propafenone hydrochloride", "propamidine", "propamidine isethionate", "propane", "propanediol dicaprylate", "propanidid", "propantheline", "propantheline bromide", "proparacaine", "proparacaine hydrochloride", "propecia", "propel", "propentofylline", "propet", "propicillin", "propicillin potassium", "propine", "propinox", "propinox hcl", "propiolactone", "propiomazine", "propiomazine hydrochloride", "propionamide", "propionate", "propionibacterium acnes", "propionibacterium avidum", "propionic acid", "propionic acid / undecylenate", "propiverine", "propiverine hydrochloride", "propoflo", "propofol", "propolis", "propolis wax", "propoven", "propoxyphene", "propoxyphene hydrochloride", "propoxyphene napsylate", "propranolol", "propranolol hydrochloride", "proprinal", "propyl acetate", "propyl gallate", "propylene", "propylene carbonate", "propylene glycol", "propylene glycol / sodium chloride", "propylene glycol 1,2-distearate", "propylene glycol 1-(2-methylbutyrate)", "propylene glycol 1-allyl ether", "propylene glycol alginate ester", "propylene glycol caprylate", "propylene glycol diacetate", "propylene glycol dibenzoate", "propylene glycol dicaprate", "propylene glycol dicaprylate", "propylene glycol dicaprylate-dicaprate", "propylene glycol diethylhexanoate", "propylene glycol dioleate", "propylene glycol heptanoate", "propylene glycol methyl ether", "propylene glycol monolaurate", "propylene glycol monopalmitostearate", "propylene glycol monostearate", "propylene glycol myristyl ether acetate", "propylene glycol salicylate", "propylene glycol stearate", "propylene glycol, (r)-", "propylene glycol, (s)-", "propylene oxide", "propylheptyl caprylate", "propylhexedrine", "propylhexedrine hydrochloride", "propyliodone", "propylparaben", "propylparaben sodium", "propylthiouracil", "propyphenazone", "proquad", "proquin", "proscar", "proscillaridin", "prosed ds", "prosol", "prosolv smcc 50", "prostamate", "prostin e2", "prostin vr", "protamine hcl", "protamine sulfate (usp)", "protamines", "protamone", "protein c", "protein c, human", "protein s", "protein s, human", "proteins", "proteus inconstans", "proteus mirabilis", "proteus vulgaris", "protex balance", "protex deep clean", "prothionamide", "prothipendyl", "prothipendyl hydrochloride", "prothrombin", "prothrombin, human", "protocatechualdehyde", "protonix", "protopam", "protopic", "protortonia cacti preparation", "protriptyline", "protriptyline hydrochloride", "provenge", "proventil", "provera", "providone-iodine", "provigil", "provisc", "provita combat", "proxibarbal", "proxigermanium", "proxyphylline", "PROzac", "prozinc", "prudoxin", "prune preparation", "prune preparation / sennosides, usp", "prunella vulgaris flowering top extract", "prunus apetala whole extract", "prunus armeniaca leaf extract", "prunus armeniaca seed extract", "prunus armeniaca whole extract", "prunus cerasifera flower extract", "prunus domestica subsp. insititia seed oil", "prunus dulcis bark extract", "prunus laurocerasus leaf extract", "prunus mume flower extract", "prunus mume fruit extract", "prunus mume whole extract", "prunus persica flower extract", "prunus persica leaf extract", "prunus persica seed extract", "prunus serotina bark extract", "prunus serotina fruit extract", "prunus serrulata flower extract", "prunus speciosa leaf extract", "prunus spinosa flower bud extract", "prunus spinosa fruit extract", "prunus spinosa whole extract", "prunus virginiana bark extract", "prunus x yedoensis leaf extract", "prussian blue", "pseudevernia furfuracea extract", "pseudodine c", "pseudoephedrine", "pseudoephedrine / pyrilamine", "pseudoephedrine / scopolamine", "pseudoephedrine / terfenadine", "pseudoephedrine / tripelennamine", "pseudoephedrine / triprolidine", "pseudoephedrine hydrochloride", "pseudoephedrine polistirex", "pseudoephedrine sulfate", "pseudoephedrine tannate", "pseudognaphalium luteoalbum leaf extract", "pseudognaphalium obtusifolium extract", "pseudoisocytidine", "pseudolarix amabilis bark extract", "pseudomonas aeruginosa", "pseudopterogorgia elisabethae extract", "pseudostellaria heterophylla whole extract", "psidium guajava extract", "psocleer", "psoracare", "psorcon", "psorent", "psoriasin", "psoriasin wash", "psyllium", "psyllium / sennosides, usp", "psyllium / sucrose", "psyllium hydrocolloid", "psyllium seed coatings,blond", "ptelea trifoliata bark extract", "pteridium aquilinum root extract", "pteridium aquilinum whole extract", "ptychopetalum olacoides root extract", "ptychopetalum olacoides wood extract", "pueraria montana var. chinensis root extract", "pueraria montana var. lobata root extract", "pueraria montana var. lobata whole extract", "pulere", "pulex irritans preparation", "pullulan", "pullularia extract", "pulmicort", "pulmosal", "pulmotil", "pulmozyme", "pulsatilla koreana root extract", "pulsatilla koreana whole extract", "pulsatilla patens extract", "pulsatilla pratensis extract", "pulsatilla vulgaris extract", "pummelo extract", "pumpkin allergenic extract", "pumpkin seed extract", "pumpkin seed extract / pygeum africanum preparation / saw palmetto extract", "pumpkin seed oil", "pumpkin seed oil / saw palmetto extract", "pumpkin seed oil / saw palmetto extract / zinc gluconate", "punica granatum flower extract", "punica granatum root bark extract", "punica granatum seed extract", "punica granatum whole extract", "pur-oxy", "pur-wash", "puracne oxygen", "puracne oxygen cleansing", "puralube", "pure relief", "purelax", "purell instant foam", "purell sanitizing wipes", "purgasol", "purified protein derivative of tuberculin", "purinethol", "purixan", "purklenz", "puroxcin", "purslane extract", "purslane oil", "purtect", "pussy willow pollen extract", "pycnogenol", "pygeum africanum preparation", "pygeum africanum preparation / urtica preparation", "pylera", "pyracantha fortuneana fruit extract", "pyrantel", "pyrantel pamoate", "pyrazinamide", "pyrethrins", "pyrethrum cinerariifolium allergenic extract", "pyrethrum extract", "pyridinolcarbamate", "pyridium", "pyridostigmine", "pyridostigmine bromide", "pyridoxal", "pyridoxal / tyrosine", "pyridoxal phosphate", "pyridoxal phosphate anhydrous", "pyridoxine", "pyridoxine / salicylic acid / zinc gluconate", "pyridoxine / thiamine / vitamin b 12", "pyridoxine / vitamin b 12", "pyridoxine dipalmitate", "pyridoxine hydrochloride", "pyridoxine phosphoserinate", "pyril d", "pyrilamine", "pyrilamine maleate", "pyrilamine tannate", "pyrimethamine", "Pyrimethamine / sulfADIAZINE", "pyrimethamine / sulfadoxine", "pyrisuccideanol", "pyrite", "pyrithione", "pyrithione disulfide", "pyrithioxin", "pyritidium", "pyritinol hcl", "pyrodifenium bromide", "pyrogallol", "pyroglutamate", "pyroligneous acid", "pyrophosphate", "pyrophosphoric acid", "pyrrole", "pyrrolidone carboxylate", "pyrrolidonecarboxylic acid", "pyruvaldehyde", "pyruvate", "pyruvic acid", "pyrvinium", "pyrvinium / thiabendazole", "pyrvinium pamoate", "q-fed", "q-gel", "q-gel with lipoic acid", "q-sorb co q-10", "q-up", "qdall", "qlearquil allergy relief", "qlearquil daytime sinus & congestion", "qlearquil nasal decongestant", "qlearquil nighttime allergy relief", "qnasl", "qore-24", "qsr antibacterial", "qsymia", "quackgrass pollen extract", "quadracel", "quadramet", "quadriguard", "quadrosilan", "qualaquin", "quarter mate", "quartermaster", "quartermate concentrate", "quarternium-15", "quartette 3 month dose pack", "quasense 91 day pack", "quassia amara whole extract", "quassia amara wood extract", "quaternium-14", "quaternium-15", "quaternium-15 cis-form", "quaternium-18", "quaternium-18 hectorite", "quaternium-22", "quaternium-24", "quaternium-33", "quaternium-52", "quaternium-82", "quaternium-91", "quazepam", "qudexy", "quebracho bark extract", "queen palm pollen extract", "quelicin", "quellin", "quercetin", "quercetin / resveratrol", "quercetin caprylate", "quercus alba extract", "quercus marilandica pollen extract", "quercus robur flower extract", "quercus robur nut extract", "quercus robur twig bark extract", "quercus robur whole extract", "quercus rubra bark extract", "quercus suber bark extract", "quest brand of moxidectin", "quest plus", "questran", "QUEtiapine", "QUEtiapine fumarate", "quibron-t", "quickflex", "quillaja saponaria bark extract", "quillaja saponaria wood extract", "quillivant", "quin-g", "quinacrine", "quinacrine monohydrochloride", "quinagolide", "quinagolide hydrochloride", "quinapril", "quinapril hydrochloride", "quinaprilat", "quinate", "quince extract", "quinestradol", "quinestrol", "quinethazone", "quinethazone / reserpine", "quinfamide", "quinhydrone", "quinic acid", "quiNIDine", "quiNIDine / Verapamil", "quiNIDine bisulfate", "quiNIDine gluconate", "quiNIDine polygalacturonate", "quiNIDine Sulfate", "quiNINE", "quiNINE / Vitamin E", "quiNINE arsenate", "quiNINE ARSENITE", "quiNINE ASCORBATE", "quiNINE Bisulfate", "quiNINE dihydrochloride", "quiNINE Hydrochloride", "quiNINE SALICYLATE", "quiNINE Sulfate", "quinoa oil", "quinoline yellow", "quinupramine", "quinupristin", "quinzyme", "quixin", "qutenza", "qvar", "r & c", "r a acne", "r-gene 10", "rabavert", "rabbit allergenic extract", "rabbit anti-human t-lymphocyte globulin", "rabbit bush pollen extract", "rabbit skin extract", "RABEprazole", "RABEprazole sodium", "rabies immune globulin, human", "rabies virus", "rabies virus vaccine flury-lep strain", "rabies virus vaccine wistar strain pm-1503-3m (human), inactivated", "racecadotril", "racementhol", "racemethionine", "racepinephrine", "racepinephrine / zinc chloride", "racepinephrine / zinc phenolsulfonate", "racepinephrine hydrochloride", "ractopamine", "ractopamine hydrochloride", "radiaguard", "radiant white", "radiogardase", "radish allergenic extract", "radish extract", "radium", "radium bromide", "radium cation", "radium chloride ra-223", "raffinose", "ragwitek", "rain breeze toothpaste", "ralgro", "raloxifene", "raloxifene hydrochloride", "raltegravir", "raltegravir potassium", "raltitrexed", "ramelteon", "ramipril", "ramiprilat", "ramucirumab", "rancid beef preparation", "ranexa", "ranibizumab", "ranitidine", "ranitidine bismuth citrate", "ranitidine hydrochloride", "ranolazine", "ranunculus bulbosus extract", "ranunculus ficaria extract", "rapacuronium", "rapacuronium bromide", "rapaflo", "rapamune", "rapeseed sterol extract", "raphanus sativa extract", "raphanus sativus var. sativus seed", "rapimed pain", "rapinovet", "rapivab", "raplixa", "rasagiline", "rasagiline mesylate", "rasburicase", "rash relief antibacterial", "rash relief antifungal", "rash relief clear", "rash relief with zinc oxide", "raspberry allergenic extract", "raspberry extract", "raspberry juice", "raspberry seed oil", "rasuvo", "rat skin extract", "rauwolfemms", "rauwolfia alkaloids", "rauwolfia preparation", "rauwolfia serpentina (usp)", "ravicti", "raw sugar", "raxibacumab", "ray dol", "rayos", "razadyne", "razoxane", "re tann", "re-azo", "rea lo 39", "rea-lo", "readybath", "readybath tpc", "readycleanse", "readyflush", "real time pain relief", "rebalance", "rebaudioside a", "rebetol", "rebif", "rebif rebidose titration pack", "rebif titration pack, (6 rebif 8.8 mcg prefilled syringes & 6 rebif 22 mcg prefilled syringes)", "reboxetine", "reboxetine mesylate", "reclast", "reclipsen 28 day pack", "recombinant antihemophilic factor viii", "recombinant coagulation factor viia", "recombinant fviia", "recombinant human hyaluronidase", "recombinant interferon beta-1b", "recombinate", "recombivax", "reconcile", "recort plus", "recothrom", "rectacort-hc", "recticare", "recticare wipes", "rectiv", "recuvyra", "red alder pollen extract", "red bell pepper allergenic extract", "red cedar pollen extract", "red clover preparation", "red clover preparation / soybean preparation / vitamin e", "red cross canker sore", "red currant allergenic extract", "red delicious apple allergenic extract", "red imported fire ant allergenic extract", "red kidney bean allergenic extract", "red lion relief", "red maple pollen extract", "red mulberry pollen extract", "red mulberry pollen extract / white mulberry pollen extract", "red oak pollen extract", "red oak pollen extract / white oak pollen extract", "red paper wasp venom protein", "red pepper extract", "red pine pollen extract", "red snapper allergenic extract", "red yeast rice", "redberry juniper pollen extract", "redroot pigweed pollen extract", "redroot pigweed pollen extract / spiny pigweed pollen extract", "redroot pigweed whole allergenic extract", "redtop grass pollen extract", "redwood pollen extract", "refenesen", "refenesen dm", "refenesen pe", "refissa", "refludan", "refresh drops", "refresh dry eye therapy", "refresh eye itch relief", "refresh lacri-lube", "refresh liquigel", "refresh lubricant", "refresh optive advanced", "refresh optive sensitive", "refresh pm", "refresh redness relief", "regadenoson", "regadenoson anhydrous", "regenecare", "regimex", "regitine", "reglan", "regonol", "regorafenib", "regorafenib monohydrate", "regranex", "regrelor", "regu-mate", "regular insulin, human", "reguloid", "rehmannia glutinosa root extract", "rehmannia glutinosa whole extract", "reishi mushroom preparation", "rejuvaderm fading", "relador", "relafen", "relagard", "relagesic", "relasin hc", "relcof c", "releev cold sore", "relenza", "relifor", "relion glucose", "relistor", "relovox", "relpax", "reluri", "remain gold", "rembrandt", "rembrandt deeply white", "remedy 4-in-1", "remedy antifungal", "remedy zinc skin protectant", "remergent hq", "remeron", "remeven", "remicade", "remicin", "remifentanil", "remifentanil hydrochloride", "remodulin", "remoxipride", "remoxipride hydrochloride", "rena-vite", "renacidin", "renagel", "renakare", "renamin 6.5", "renaplus", "renese", "renese-r", "rennet", "renova", "renown", "renuee", "renvela", "reopro", "repaglinide", "repan", "repara triple antibiotic", "repatha", "rephresh pro-b", "repiderm", "replesta nx", "reprexain", "repronex", "reproterol", "reproterol hydrochloride", "reptococcus viridans group immunoserum rabbit", "requip", "res-q-dent", "rescinnamine", "rescon jr reformulated feb 2010", "rescon reformulated jun 2008", "rescon tablets", "rescon-gg", "rescon-mx reformulated jan 2010", "rescriptor", "resectisol", "reserpine", "reserpine / trichlormethiazide", "reserpine / xipamide", "resflor", "resi ketochlor", "resicort", "resinol", "resmethrin", "resorcinol", "resorcinol / salicylic acid / sodium thiosulfate", "resorcinol / sulfur", "resorcinol / sulfur / triclosan", "respa-br", "respahist ii", "respaire", "respi-tann", "respi-tann g", "respi-tann pd", "respiratory syncytial virus immune globulin intravenous", "respiratory vaccine", "respivent", "respivent df dosepack 10", "rest simply", "restall", "restasis", "restone", "restoril", "resveratrol", "retadolor", "retaine", "retaine hpmc", "retaine mgd", "retaine pm", "retapamulin", "retavase", "reteplase", "retin-a", "retinamide", "retinol acetate", "retinyl linoleate", "retinyl palmitate", "retinyl propionate", "retinyl retinoate", "retisert", "retre-gel", "retrovir", "reumacetin", "revalor", "revatio", "reversion acne control clarifying cleanser", "reversion acne control toner", "revex", "revia", "revina", "reviparin", "reviparin sodium", "revitaderm psoriasis", "revitaderm wound care", "revitol", "revive plus", "revlimid", "revolution", "revonto", "rexall", "rexulti", "reyataz", "rezamid", "rezira", "rezyst probiotic", "rfd", "rhamnus cathartica fruit extract", "rheaban maximum strength", "rhemu", "rhenium", "rheum officinale root extract", "rheum officinale stem extract", "rheum officinale whole extract", "rheum palmatum root extract", "rheum palmatum whole extract", "rheum tanguticum whole extract", "rheumatrex", "rheumatrex dose pack 12, 4 wk pack", "rheumatrex dose pack 16, 4 wk pack", "rheumatrex dose pack 20, 4 wk pack", "rheumatrex dose pack 24, 4 wk pack", "rheumatrex dose pack 28, 4 wk pack", "rheumatrex dose pack 32, 4 wk pack", "rheumatrex dose pack 8, 4 week pack", "rhinall", "rhinaris", "rhinocort", "rhinoflex", "rhizopus oryzae extract", "rho(d) immune globulin", "rhodamine b", "rhodiola crenulata root extract", "rhodium", "rhododendron aureum leaf extract", "rhodomyrtus tomentosa fruit extract", "rhodotorula mucilaginosa extract", "rhodotorula rubra allergenic extract", "rhogam", "rhophylac", "rhubarb allergenic extract", "rhubarb preparation", "rhubarb preparation / sodium bicarbonate", "rhus aromatica root bark extract", "rhus chinensis root extract", "rhus chinensis whole extract", "rhus glabra bark extract", "rhus glabra top extract", "rhus spp whole extract", "rhus toxicodendron extract", "ri-gel ii", "ri-mag", "ri-mag plus", "ri-mox plus", "riastap", "riax", "ribasphere", "ribasphere ribapak 1000 dose pack", "ribasphere ribapak 1200 dose pack", "ribasphere ribapak 800 dose pack", "ribatab", "ribatab 1000 mg/day compliance pack", "ribatab compliance pack", "ribavirin", "ribavirin 600 mg oral tablet 7 day pack", "ribes nigrum flower bud extract", "ribes nigrum leaf extract", "ribes nigrum seed oil", "riboflavin", "riboflavin / vitamin b6", "ribonucleic acid sodium", "riboprine", "ribose", "rice (whole grain) allergenic extract", "rice allergenic extract", "rice bran", "rice bran oil", "rice germ oil", "rice germ preparation", "rice oil", "ricinoleamidopropyl ethyldimonium ethosulfate", "ricinoleamidopropyltrimonium", "ricinoleamidopropyltrimonium chloride", "ricinoleate", "ricinoleic acid", "ricinoleic monoethanolamide sulfosuccinate", "ricinus communis whole extract", "rickettsia rickettsii", "ricobid", "rid", "rid-a-pain", "ridaura", "rifabutin", "rifadin", "rifamate", "rifampin", "rifampin / trimethoprim", "rifamycin sodium", "rifamycin sv", "rifamycins", "rifapentine", "rifater", "rifaximin", "rightstep", "rilexine", "rilmenidine", "rilmenidine phosphate", "rilonacept", "rilpivirine", "rilpivirine hydrochloride", "rilutek", "riluzole", "rimabotulinumtoxinb", "rimactane", "rimadyl", "rimantadine", "rimantadine hydrochloride", "rimethylolpropane tricaprylate-tricaprate", "rimexolone", "rimiterol", "rimiterol hydrobromide", "rimso-50", "rinfabate", "ringl", "riociguat", "riomet", "risamine", "risedronate", "risedronate sodium", "risedronate sodium 35 mg oral tablet, 12 week pack", "risedronate sodium 35 mg oral tablet, 4 week pack", "risedronate sodium hemi-pentahydrate", "risedronate sodium monohydrate", "risedronic acid", "RisperDAL", "risperiDONE", "ritalin", "ritodrine", "ritodrine hydrochloride", "ritonavir", "rituxan", "riTUXimab", "rivaroxaban", "rivaroxaban 30-day starter pack (42-15 mg oral tablets & 9-20 mg oral tablets)", "rivastigmine", "rivastigmine tartrate", "river birch pollen extract", "rixubis", "rizatriptan", "rizatriptan benzoate", "rna", "robafen", "robafen ac", "robafen cough", "robafen dm", "robaxin", "robenacoxib", "robenidine", "robenidine hydrochloride", "robinia pseudoacacia bark extract", "robinul", "robitussin", "robitussin 12 hour cough relief", "robitussin chest congestion", "robitussin children's nighttime cough long-acting dm", "robitussin cough & congestion", "robitussin cough & congestion dm max", "robitussin cough drop", "robitussin cough gels", "robitussin dm", "robitussin head & chest congestion", "robitussin honey cough", "robitussin lingering cold long-acting cough", "robitussin maximum strength", "robitussin maximum strength cough & cold", "robitussin maximum strength cough plus chest congestion dm", "robitussin medi-soothers", "robitussin night time cough and cold", "robitussin nighttime cough dm", "robitussin peak cold maximum strength cough plus chest congestion dm", "robitussin peak cold nasal", "robitussin pediatric cough & cold", "robitussin pediatric cough & cold la", "robitussin pediatric cough suppressant", "robitussin severe congestion", "robusta coffee bean extract", "rocainol", "rocaltrol", "roccal", "rocco's old school", "rocco's old school healing balm", "rocephin", "rock sauce", "rocky mountain juniper pollen extract", "rocuronium", "rocuronium bromide", "rofecoxib", "roflumilast", "rogaine", "rolaids advanced", "rolaids multi-symptom", "rolaids plus gas relief", "rolaids reformulated aug 2006", "rolaids regular strength", "rolaids sodium free", "rolaids softchews", "rolaids ultra strength", "rolapitant", "rolapitant hydrochlorie", "rolitetracycline", "romazicon", "romiDEPsin", "romifidine", "romifidine hydrochloride", "romilar ac", "romiPLOStim", "rompe pecho", "rompe pecho dm", "rompun", "romycin", "rondex", "ronidazole", "rOPINIRole", "rOPINIRole hydrochloride", "ropivacaine", "ropivacaine / SUFentanil", "ropivacaine hydrochloride", "ropivacaine hydrochloride monohydrate", "rorippa nasturtium-aquaticum flowering top extract", "rosa arkansana root extract", "rosa canina flower extract", "rosa canina flower oil", "rosa canina fruit extract", "rosa canina fruit oil", "rosa canina leaf extract", "rosa canina seed extract", "rosa centifolia flower extract", "rosa centifolia flower oil", "rosa damascena flower extract", "rosa damascena flower oil", "rosa damascena flower wax", "rosa damascena flowering top extract", "rosa damascena whole extract", "rosa gallica flower extract", "rosa gallica flower oil", "rosa moschata oil", "rosa moschata seed oil", "rosa multiflora flower wax", "rosa multiflora fruit extract", "rosa roxburghii fruit extract", "rosa rubiginosa seed oil", "rosa rugosa flower bud extract", "rosadan", "rosanil", "rosaniline hydrochloride", "rose bengal", "rose bengal at", "rose bengal sodium", "rose bengal sodium i 131", "rose oil", "rose petal extract", "rosemary extract", "rosemary oil", "rosewood oil", "rosiglitazone", "rosiglitazone maleate", "rosin", "rosin partially dimerized glycerol ester", "rosmarinus officinalis flower extract", "rosmarinus officinalis flowering top extract", "rosmarinus officinalis flowering top oil", "rosmarinus officinalis preparation", "rosmarinus officinalis whole extract", "rosoxacin", "rosula", "rosuvastatin", "rosuvastatin calcium", "rotarix", "rotateq", "rotavirus vaccine, live", "rotavirus vaccine, live attenuated, g1p[8] human 89-12 strain", "rotenone", "rotigotine", "rough cocklebur pollen extract", "rough marshelder pollen extract", "rovera", "rowasa", "roxarsone", "roxatidine", "roxatidine acetate", "roxatidine acetate hydrochloride", "roxicet", "roxicodone", "roxithromycin", "royal jelly", "rozerem", "ru hist d", "rubella virus", "rubella virus vaccine", "rubella virus vaccine live (wistar ra 27-3 strain)", "rubes nigrum seed extract", "rubia cordifolia root extract", "rubia tinctorum root extract", "rubia tinctorum whole extract", "rubidium", "rubidium cation rb-82", "rubidium chloride", "rubidium chloride rb-82", "rubidium nitrite", "rubus chamaemorus fruit extract", "rubus chamaemorus seed extract", "rubus chamaemorus seed oil", "rubus corchorifolius fruit extract", "rubus coreanus fruit extract", "rubus fruticosus leaf extract", "rubus fruticosus seed extract", "rubus idaeus fruit volatile oil", "rubus idaeus leaf extract", "rubus idaeus seed extract", "ruconest", "rufinamide", "rumagon", "rumex acetosa whole extract", "rumex acetosa whole leaf extract", "rumex crispus root extract", "rumex crispus top extract", "rumex crispus whole extract", "run guard", "ruscogenin", "ruscogenin / trimebutine", "ruscus aculeatus root extract", "russian olive pollen extract", "russian thistle pollen extract", "russula emetica preparation", "ruta graveolens flowering top extract", "ruta graveolens flowering top oil", "ruta graveolens preparation", "ruta graveolens whole extract", "ruthenium", "rutin", "rutin / vincamine", "rutin sodium propylsulfonate", "rutin sodium sulfate", "ruxolitinib", "ruxolitinib phosphate", "rx-act all day allergy relief", "rx-act all day pain relief", "rx-act antacid", "rx-act antacid calcium supplement", "rx-act antacid extra strength", "rx-act anti-diarrheal", "rx-act children's cold and allergy", "rx-act gas relief extra strength", "rx-act headache formula", "rx-act heartburn relief", "rx-act ibuprofen", "rx-act ibuprofen pm", "rx-act nasal decongestant pe", "rx-act nasal spray", "rx-act pain relief", "rx-act pain relief pm", "rx-act sinus & allergy pe", "rx-act sinus congestion & pain", "rx-act sore throat", "rx-act stomach relief", "rx-act tussin", "ryanodex", "rye allergenic extract", "rymed-d", "ryneze", "rytary", "rythmol", "ryzolt", "s typhi (ty-2 strain)", "s-2", "s-adenosylmethionine", "s-adenosylmethionine sulfate tosylate", "s-benzoylmercaptoacetyltriglycine", "s-t forte 2", "sabril", "saccarin sodium monohydrate", "saccharide isomerate", "saccharin", "saccharin calcium", "saccharin calcium anhydrous", "saccharin n-(2-acetic acid ethyl ester)", "saccharin sodium", "saccharin sodium anhydrous", "saccharin sodium dihydrate", "saccharina latissima extract", "saccharomyces boulardii", "saccharomyces boulardii lyo", "saccharomyces cerevisiae", "saccharomyces cerevisiae allergenic extract", "saccharomyces cerevisiae extract", "saccharomyces cerevisiae rna", "saccharomyces lysate extract", "saccharum officinarum whole extract", "sacrosidase", "sacubitril", "sacubitril / valsartan", "safe-guard", "safeguard antibacterial", "safeguard antibacterial foaming", "safetussin cd", "safetussin dm", "safetussin pm", "safflower extract", "safflower oil", "safflower oil / soybean oil", "safflower seed allergenic extract", "safflower seed extract", "saffron extract", "saffron stain", "safyral 28 day pack", "sage extract", "sage leaf allergenic extract", "sage oil", "saizen", "sal-plant gel", "sal-tropine", "salactic film", "salacyn", "salagen", "saleto", "salex", "salic-2", "salicin", "salicin extract", "salicornia europaea extract", "salicyl alcohol", "salicylamide", "salicylamide / vitamin b 12", "salicylate", "salicylic acid", "salicylic acid / sodium thiosulfate", "salicylic acid / sulfur", "salicylic acid / triamcinolone", "salicylic acid / trichloroacetaldehyde", "salicylic acid / triclosan", "salicylic acid / undecylenate", "salicylic acid / urea", "salicylic acid / zinc oxide", "salicylic acid / zinc pyrithione", "salicyloyl phytosphingosine", "salinaax", "salinocaine", "salinomycin", "salivasure", "salix - substance", "salix alba bark extract", "salix alba bark volatile oil", "salix alba flower extract", "salix alba flowering top extract", "salix alba leaf extract", "salix babylonica whole extract", "salix nigra bark extract", "salix purpurea bark extract", "saljet", "salkera", "salmeterol", "salmeterol xinafoate", "salmon allergenic extract", "salmon calcitonin", "salmon gonadotropin releasing hormone d-arg6 analog ethyl amide", "salmon oil", "salmon preparation", "salmonella enterica subsp. enterica serovar enteritidis", "salmonella enterica subsp. enterica serovar typhi", "salonpas", "salonpas deep relieving", "salonpas gel-patch", "salonpas massage foam", "salonpas pain relief patch", "salonpas pain relieving patch", "salonpas spray", "salsalate", "salsola tragus pollen extract", "salsolinol", "salsolinol hydrochloride", "salt cedar pollen", "salt cedar pollen extract", "salt grass pollen extract", "saltaire", "saltbush pollen extract", "saluron", "salvax", "salvax duo kit", "salvax duo plus kit", "salvia hispanica seed extract", "salvia miltiorrhiza root extract", "salvia officinalis flowering top extract", "salvia officinalis root extract", "salvia officinalis whole extract", "salvia pratenis leaf extract", "salvia sclarea seed oil", "samarium", "samarium oxide", "samarium sm 153 lexidronam", "samarium sm 153 lexidronam pentasodium", "samarium sm153", "sambucus canadensis flower extract", "sambucus nigra flower extract", "sambucus nigra flowering top", "sambucus nigra subsp. canadensis flowering top extract", "sambucus nigra whole extract", "samsca", "sanafitil", "sanafitil antifungal", "sanafitil cream", "sanafitil powder", "sanctura", "sancuso", "sandalwood extract", "sandalwood oil", "sandbur ragweed pollen extract", "SandIMMUNE", "SandoSTATIN", "sangre de grado", "sanguinaria canadensis extract", "sanguinaria canadensis root extract", "sanguinarine", "sanguinarine nitrate", "sanguisorba minor root extract", "sanguisorba officinalis leaf extract", "sanguisorba officinalis root extract", "sanguisorba officinalis top extract", "sanguisorba officinalis whole extract", "sani guard", "sani-hands basics", "sani-supp", "sanicula europaea extract", "sanicula europaea leaf extract", "sansert", "santalum album seed extract", "santalum album seed oil", "santalum spicatum oil", "santonin", "santyl", "saphris", "sapindus mukorossi fruit extract", "sapindus mukorossi fruit rind extract", "sapindus trifoliatus fruit extract", "saponaria officinalis leaf extract", "saponaria officinalis root extract", "saponaria officinalis whole extract", "saposhnikovia divaricata root extract", "sapropterin", "sapropterin dihydrochloride", "saquinavir", "saquinavir mesylate", "sarafem", "saralasin", "saralasin acetate", "sarapin", "sarcosinate", "sarcosine", "sardine allergenic extract", "sardine, unspecified preparation", "sarene", "sargassum filipendula extract", "sargassum fusiforme extract", "sargassum muticum extract", "sargramostim", "sarkosyl", "sarna", "sarna sensitive", "sarna ultra", "sarnol-hc", "sarracenia purpurea extract", "sarracenia purpurea preparation", "sarsaparilla preparation", "sarsaparilla root extract", "sassafra albidum root bark extract", "sassafras oil", "satogesic", "satohap", "saururus chinensis flower extract", "saururus chinensis whole extract", "saussurea costus root extract", "saussurea gossipiphora extract", "savaysa", "savella", "savella 4-week titration pack", "saw palmetto extract", "saw palmetto extract / zinc picolinate", "saw palmetto fruit extract", "saw palmetto fruit extract / zinc picolinate", "saxagliptin", "saxagliptin anhydrous", "saxagliptin hydrochloride", "saxenda", "saxifraga granulata whole extract", "saxifraga stolonifera leaf extract", "sayman salve", "scabies lesion lysate (human)", "scalacort", "scalacort dk kit", "scallop allergenic extract", "scalpicin anti-itch", "scalpicin itch relief", "scalpicin scalp relief", "scandium", "scandonest", "scandonest l", "scar zone a acne", "scar zone burn relief", "scarguard scarlight", "scarlet red", "schiff", "schinus molle bark extract", "schinus molle fruit oil", "schinus terebinthifolius whole extract", "schisandra chinensis fruit extract", "schizandra preparation", "schizochytrium dha oil", "schizonepeta tenuifolia flowering top extract", "schizonepeta tenuifolia whole extract", "schoenocaulon officinale seed extract", "schorl tourmaline", "sciadopitys verticillata root extract", "sclareolide", "scleranthus annuus flowering top extract", "sclerocarya birrea seed oil", "scleromate", "sclerosol", "scomberomorus cavalla extract", "scopace", "scoparium", "scopolamine", "scopolamine hydrobromide", "scopolia carniolica whole extract", "scot tussin original", "scot-tussin", "scot-tussin allergy", "scot-tussin diabetic cf", "scot-tussin dm", "scot-tussin dm cough chasers", "scot-tussin sugar free dm", "scotch broom pollen extract", "scotch pine pollen extract", "scotch spearmint oil", "scrophularia buegeriana root extract", "scrophularia ningpoensis root extract", "scrophularia ningpoensis whole extract", "scrophularia nodosa extract", "scrophularia nodosa root extract", "scrub pine pollen extract", "scrub-stat", "scrubs", "scutellaria alpina flowering top extract", "scutellaria baicalensis root extract", "scutellaria baicalensis whole extract", "scutellaria galericulata leaf extract", "scutellaria lateriflora top extract", "scytera", "sd alcohol 40 (20% w/w)", "sea mist", "sea salt", "sea scallop preparation", "sea snail preparation", "sea soft", "sea-omega", "seasonale 91 day pack", "seasonique 91 day pack", "seaweed extract", "seb-prev", "seba-moist", "sebacate", "sebacic acid", "sebasorb", "sebex", "sebobalance", "sebrx", "sebrx acne control", "sebulex", "secale cereale whole extract", "secnidazole", "secobarbital", "secobarbital sodium", "seconal sodium", "secretin", "secretin acetate", "sectral", "secukinumab", "sedalmex", "sedapap", "sedivet", "sedum acre extract", "sedum roseum root extract", "sedum roseum whole extract", "seebri", "seequin", "selaginella tamariscina extract", "selamectin", "selegiline", "selegiline hydrochloride", "selenate ion", "selenicereus grandiflorus flower extract", "selenicereus grandiflorus stem extract", "selenicereus grandiflorus whole extract", "selenious acid", "selenite", "selenite ion", "selenium", "selenium dioxide", "selenium sulfide", "selenocysteine", "selenomethionine", "selenomethionine se 75", "selepen", "selrx", "selsun blue", "selsun blue naturals", "selsun blue scalp itch", "selsun blue sensitive scalp", "selzentry", "semduramicin", "semecarpus anacardium fruit extract", "semecarpus anacardium juice extract", "sempervivum tectorum leaf extract", "semprex-d", "senecio vulgaris extract", "senexon", "senexon s", "seniortopix healix", "senna alata leaf extract", "senna alata whole extract", "senna alexandrina seed extract", "senna concentrate", "senna lax", "senna leaf extract", "senna leaves", "senna obtusifolia seed extract", "senna occidentalis extract", "senna soft", "senna-relief childs", "senna-time", "sennoside a&b, calcium salt", "sennoside b", "sennosides, usp", "senokot", "senokot-s", "senosol", "senosol-ss", "sensi-care", "sensi-care body", "sensi-care protective barrier", "sensi-cream", "sensipar", "sensodyne", "sensodyne pronamel", "sensodyne repair and protect", "sensorcaine", "Sensorcaine with EPINEPHrine", "sentinel flavor tabs", "sentinel spectrum", "sentry anti-diarrhea", "sentry anti-itch", "sentry aq mardel aquari-sol", "sentry aq mardel clout", "sentry aq mardel maracyn-oxy", "sentry aq mardel maroxy", "sentry hc dermasphere", "sentry hc dermasphere medicated", "sentry hc hotspot", "sentry hc petromalt", "sentry hc worm x", "sentry hc worm x ds", "sentry hc worm x plus", "sepasoothe reformulated apr 2011", "sepia extract", "sepia officinalis juice extract", "sepp", "septi-soothe", "septicare", "septocaine", "septra", "ser-ap-es", "serenoa preparation", "serenus", "serevent", "sericin 1", "serine", "sermorelin", "sermorelin acetate", "seromycin", "serophene", "SEROquel", "SEROquel XR 14-Day Sample Kit for Acute Bipolar Depression", "serostim", "serotonin", "serotonin hydrochloride", "serrated swimming crab, cooked preparation", "serratia marcescens", "serratiopeptidase", "sertaconazole", "sertaconazole nitrate", "sertindole", "sertraline", "sertraline hydrochloride", "serum albumin, bovine", "servo stat bac", "serzone", "sesame extract", "sesame oil", "sesame seed allergenic extract", "sesame seed extract", "sesamum indicum whole extract", "sesquicarbonate", "setlakin 91 day pack", "sevelamer", "sevelamer carbonate", "sevelamer hydrochloride", "sevoflo", "sevoflurane", "sevosol", "sevothesia", "shad scale pollen extract", "shagbark hickory pollen extract", "shark cartilage extract", "shark cartilage extract / squalene", "shark liver oil", "shark liver oil / tissue respiratory factor", "shark liver oil / vitamin e", "shark preparation", "sharobel 28 day pack", "shea butter", "sheanut oil", "sheep sorrel pollen extract", "sheep sorrel pollen extract / yellow dock pollen extract", "sheep wool preparation", "sheer desenz", "sheffield baby teething gel", "shellac", "shigella dysenteriae", "shigella sonnei", "shiitake mushroom preparation", "shing-releev", "shorea stepnoptera seed butter extract", "short ragweed pollen extract", "shortleaf pine pollen extract", "shrimp allergenic extract", "siberian elm pollen extract", "siberian ginseng preparation", "siberian ginseng root", "siberian ginseng root / st. john's wort extract", "siberian ginseng root extract", "sibutramine", "sibutramine hydrochloride", "sibutramine hydrochloride monohydrate", "sierrasil pain relief", "signifor", "siladryl", "siladyl", "silanediol salicylate", "silanetriol", "silanol", "silapap", "sildenafil", "sildenafil citrate", "silenor", "silfedrine", "silica dimethyl silylate", "silicic acid", "silicon", "silicon dioxide", "silicon dioxide / tricalcium phosphate", "silicon dioxide, colloidal", "silicones", "silicones / simethicone", "silicones / starch", "silk allergenic extract", "silk amino acids", "silk sericin", "silk, acid hydrolyzed (1000 mw)", "silk, base hydrolyzed (1000 mw)", "silk, enzyme hydrolyzed (1000 mw)", "silodosin", "silodrate", "siltane", "siltuss das", "siltussin", "siltussin dm", "siltuximab", "silvadene", "silver acetate", "silver birch pollen allergenic extract", "silver cation", "silver chloride", "silver citrate", "silver cyanide", "silver fluoride", "silver iodide", "silver maple pollen extract", "silver mono(2-aminoethyl)phosphate", "silver nitrate", "silver phosphate", "silver preparation", "silver ragweed pollen extract", "silver sulfADIAZINE", "silver sulfide", "silvera", "silybin", "silybum marianum seed oil", "silymarin", "simaba cedron seed extract", "simaldrate", "simbadol", "simbrinza", "simcor", "simeprevir", "simeprevir sodium", "simethicone", "simethicone-cellulose", "simetone", "simmondsia chinensis leaf extract", "simmondsia chinensis seed wax extract", "simmondsia chinensis whole extract", "simmondsia chinesis seed extract", "simplicef", "simply numb endure", "simply saline", "simply saline wound wash", "simply sleep", "simponi", "simuc-hd", "simulect", "simvastatin", "Simvastatin / sitaGLIPtin", "sinapsis arvensis flowering-fruiting top extract", "sinapultide", "sincalide", "sine-off maximum strength", "sine-off maximum strength reformulated sep 2008", "sinecatechins", "sinemet", "sinex", "sinex long-acting", "singulair", "sinufrin plus", "sinusitisinum", "sinutab non drying", "sinutab sinus", "sipuleucel-t", "siraitia grosvenorii fruit extract", "sirolimus", "sirturo", "sisal fiber extract", "sisomicin", "sisomicin sulfate", "sisymbrium officianale whole extract", "sitaGLIPtin", "sitaGLIPtin phosphate", "sitavig", "sitosterols", "sitrex", "sivextro", "skatole", "skelaxin", "skelid", "skim milk", "skin shield", "skin tx hydroquinone", "skin tx medicated acne wash", "skinmedica purifying foaming wash", "skintx acne treatment", "sklice", "skullcap preparation", "skyla", "slash pine pollen extract", "sleepinal", "slender ragweed pollen extract", "slentrol", "slippery elm bark", "slo-niacin", "sloan's liniment", "slow fe with folic acid", "slow-fe", "slow-mag reformulated feb 2012", "smallpox vaccine", "smallpox vaccine live vaccinia virus", "smallpox vaccine live, new york city board of health vaccinia strain", "smarth", "smartrx", "smelt allergenic extract", "smilax aristolochiaefolia root extract", "smilax regelii root extract", "smileactives", "smileguard", "smooth brome pollen extract", "smooth sumac pollen extract", "snail preparation", "snow crab, unspecified preparation", "snow pea extract", "sobrerol", "socalm patch", "sochlor", "socumb", "sodium", "sodium 1-naphthalenesulfonate", "sodium 2,5-dimethylbenzene-1-sulfonate", "sodium 2-naphthalenesulfonate", "sodium acetate", "sodium acetate trihydrate", "sodium acetate, anhydrous", "sodium acetyltryptophanate", "sodium acexamate", "sodium acrylate", "sodium acryloyldimethyltaurate", "sodium acryloyldimethyltaurate-acrylamide copolymer (1:1; 90000-150000 mpa.s)", "sodium alginate", "sodium aminobenzoate", "sodium anisate", "sodium arsenate", "sodium arsenate, dibasic", "sodium arsenate, dibasic, heptahydrate", "sodium ascorbate", "sodium ascorbyl phosphate", "sodium bentonite", "sodium benzenesulfonate", "sodium benzoate", "sodium benzotriazolyl butylphenol sulfonate", "sodium beta-sitosteryl sulfate", "sodium bicarbonate", "sodium bicarbonate / sodium chloride", "sodium bicarbonate / sodium chloride / sodium phosphate, dibasic", "sodium bicarbonate / sodium citrate", "sodium bicarbonate / sodium fluoride", "sodium bicarbonate / sodium phosphate", "sodium bicarbonate / sodium phosphate, monobasic", "sodium bicarbonate / tartaric acid", "sodium bisulfate", "sodium bisulfite", "sodium bitartrate", "sodium bitartrate / sodium perborate", "sodium borate", "sodium bromide", "sodium c12 olefin sulfonate", "sodium c12-14 olefin sulfonate", "sodium c12-15 pareth-15 sulfonate", "sodium c12-15 pareth-3 sulfate", "sodium c14 olefin sulfonate", "sodium c14-16 olefin sulfonate", "sodium c18 olefin sulfonate", "sodium caproyl lactylate", "sodium caprylate", "sodium capryloamphopropionate", "sodium carbonate", "sodium carbonate decahydrate", "sodium carbonate monohydrate", "sodium carboxymethyl beta-glucan (ds 0.65-0.85)", "sodium caseinate", "sodium cation", "sodium cephalothin", "sodium cetostearyl sulfate", "sodium cetyl sulfate", "sodium chlorate", "sodium chloride", "sodium chloride / sodium sulfite / sodium thiosulfate", "sodium chloride / urea", "sodium chloride, (22)na", "sodium chlorite", "sodium cholesteryl sulfate", "sodium chondroitin sulfate (porcine; 5500 mw)", "sodium chromate cr51", "sodium citrate", "sodium citrate dihydrate", "sodium coco-sulfate", "sodium cocoamphoacetate", "sodium cocoate", "sodium cocoyl glutamate", "sodium cocoyl glycinate", "sodium cocoyl isethionate", "sodium cocoyl sarcosinate", "sodium copper chlorophyllin", "sodium cumenesulfonate", "sodium cyclamate", "sodium decylglucoside hydroxypropylsulfonate", "sodium dehydroacetate", "sodium diacetate", "sodium dibunate", "sodium dichloroacetate", "sodium diethyl oxalacetate", "sodium dihydrogen phosphate dihydrate", "sodium dihydroxycetyl phosphate", "sodium dithionate", "sodium dodecyl sulfate", "sodium dodecylbenzenesulfonate", "sodium estrone sulfate", "sodium ferric gluconate complex", "sodium fluoride", "sodium fluoride / sodium phosphate", "sodium fluoride / sodium phosphate, monobasic", "sodium fluoride / stannous fluoride", "sodium fluoride / triclosan", "sodium fluoride / xylitol", "sodium fluoride f-18", "sodium folate", "sodium formaldehyde sulfoxylate dihydrate", "sodium fumarate", "sodium gluconate", "sodium glutamate", "sodium glycerophosphate", "sodium glycerophosphate anhydrous", "sodium glycinate", "sodium glycolate", "sodium hinokitiol", "sodium hyaluronate", "sodium hydride", "sodium hydrogen sulfite", "sodium hydroxide", "sodium hydroxymethylglycinate", "sodium hypochlorite", "sodium hypophosphite", "sodium hypophosphite monohydrate", "sodium iodate", "sodium iodide", "sodium iodide i123", "sodium iodide i131", "sodium iothalamate", "sodium ironedetate", "sodium isethionate", "sodium isostearoyl lactylate", "sodium lactate", "sodium lauraminopropionate", "sodium laurate", "sodium laureth sulfate", "sodium laureth-12 sulfate", "sodium laureth-13 carboxylate", "sodium laureth-2 phosphate", "sodium laureth-2 sulfate", "sodium laureth-4 phosphate", "sodium lauroamphoacetate", "sodium lauroyl 1-methyl isethionate", "sodium lauroyl aspartate", "sodium lauroyl glutamate", "sodium lauroyl hydroxypropyl sulfonate", "sodium lauroyl isethionate", "sodium lauroyl lactylate", "sodium lauroyl methyl isethionate", "sodium lauroyl sarcosinate", "sodium lauryl glycol carboxylate", "sodium lauryl sarcosinate", "sodium lauryl sulfoacetate", "sodium levulinate", "sodium magnesium fluorosilicate", "sodium metabisulfite", "sodium metavanadate tetrahydrate", "sodium methyl 2-sulfolaurate", "sodium methyl cocoyl taurate", "sodium methyl stearoyl taurate", "sodium methylcamphorate", "sodium methylesculetin acetate", "sodium molybdate dihydrate", "sodium molybdate(vi)", "sodium monofluorophosphate", "sodium morrhuate", "sodium myristoyl glutamate", "sodium myristoyl isethionate", "sodium myristoyl sarcosinate", "sodium na-22", "sodium nitrate", "sodium nitrite", "sodium nitrite / veratrum viride preparation", "sodium nitroprusside", "sodium octoxynol-2 ethane sulfonate", "sodium octyl sulfate", "sodium oleanolate", "sodium oxalate", "sodium oxide", "sodium oxybate", "sodium p-chloro-m-cresol", "sodium palm kernelate", "sodium palmate", "sodium palmitate", "sodium palmitoyl glutamate", "sodium palmitoyl proline", "sodium pantothenate", "sodium perborate", "sodium percarbonate", "sodium peroxide", "sodium pertechnetate tc 99m", "sodium phenolsulfonate", "sodium phenylacetate", "sodium phenylbutyrate", "sodium phosphate", "sodium phosphate / sodium phosphate, monobasic", "sodium phosphate dihydrate", "sodium phosphate p32", "sodium phosphate, dibasic", "sodium phosphate, dibasic / sodium phosphate, monobasic", "sodium phosphate, dibasic / sodium phosphate,monobasic,monohydrate", "sodium phosphate, dibasic / urea", "sodium phosphate, dibasic, anhydrous", "sodium phosphate, dibasic, anhydrous / sodium phosphate,monobasic,monohydrate / tribasic potassium phosphate", "sodium phosphate, dibasic, dihydrate", "sodium phosphate, dibasic, dodecahydrate", "sodium phosphate, dibasic, monohydrate", "sodium phosphate, monobasic", "sodium phosphate, monobasic, anhydrous", "sodium phosphate, tribasic anhydrous", "sodium phosphate, tribasic, dodecahydrate", "sodium phosphate, tribasic, monohydrate", "sodium phosphate,monobasic,monohydrate", "sodium phytate", "sodium pidolate", "sodium polyacrylate (2500000 mw)", "sodium polyacrylate (8000 mw)", "sodium polymetaphosphate", "sodium polystyrene sulfonate", "sodium potassium tartrate tetrahydrate", "sodium propionate", "sodium propionate anhydrous", "sodium propoxyhydroxypropyl thiosulfate silica", "sodium pyroglutamate", "sodium pyrophosphate", "sodium pyrrolidone carboxylate", "sodium pyruvate", "sodium salicylate", "sodium sarcosinate", "sodium selenate", "sodium selenite", "sodium silicate", "sodium stannate", "sodium starch", "sodium starch glycolate", "sodium starch glycolate type a corn", "sodium starch glycolate type a potato", "sodium starch glycolate type b potato", "sodium stearate", "sodium stearoamphoacetate", "sodium stearoyl glutamate", "sodium stearoyl lactylate", "sodium stearyl fumarate", "sodium stibogluconate", "sodium succcinate anhydrous", "sodium succinate", "sodium succinate anhydrous", "sodium succinate hexahydrate", "sodium sulfate", "sodium sulfate anhydrous", "sodium sulfide", "sodium sulfide nonahydrate", "sodium sulfite", "sodium sulfite, anhydrous", "sodium tallowate", "sodium tallowate, beef", "sodium tartrate", "sodium tartrate dihydrate", "sodium taurate", "sodium taurodeoxycholate", "sodium tetrachloroaurate", "sodium tetradecyl sulfate", "sodium thioglycolate", "sodium thiosalicylate", "sodium thiosulfate", "sodium trideceth sulfate", "sodium tripolyphosphate anhydrous", "sodium tyropanoate", "sodium ursolate", "sodium valproate", "sodium xylenesulfonate", "sofosbuvir", "soft-tuch", "softsoap antibacterial", "sojourn", "solanum dulcamara flower extract", "solanum dulcamara stem extract", "solanum dulcamara top extract", "solanum lycopersicum extract", "solanum lycopersicum fruiting top extract", "solanum melongena whole extract", "solanum nigrum top extract", "solanum nigrum whole extract", "solanum tuberosum extract", "solaraze", "solarcaine", "solarcaine plus aloe", "solasulfone", "solesta", "solfenacin", "solfenacin succinate", "solia 28 day pack", "solidago canadensis flowering top extract", "solidago canadensis whole extract", "solidago virgaurea flowering top extract", "solidago virgaurea pollen extract", "solidago virgaurea whole extract", "solifenacin", "solifenacin succinate", "soliris", "solodyn", "soloxine", "soltamox", "Solu-CORTEF", "solu-delta-cortef", "Solu-MEDROL", "soluclenz", "solufenum", "solv x", "solvent red 27", "solvent red 4", "soma", "soma compound with codeine", "somatorelin", "somatostatin", "somatostatin acetate", "somatrem", "somatropin", "somatropin (recombinant dna origin)", "somatropin, e-coli derived", "somatuline", "somavert", "sombra warm pain relieving gel", "sometribove", "sominex", "somnapure", "somnasol", "somnicin", "sonacaine", "sonata", "sonidegib", "sonidegib phosphate", "soolantra", "soothables kapd", "soothanol x2", "soothe & cool dandruff", "soothe & cool moisture barrier", "soothe & cool powder", "soothe & cool skin paste", "soothe caplets", "soothe chewable", "soothe lubricant eye drops", "soothe maximum strength", "soothe mineral oil", "soothe night time", "soothe regular strength", "sophora flavescens root extract", "sophora flavescens whole extract", "sophora tetraptera flower extract", "sophora tonkinensis whole extract", "SORAfenib", "SORAfenib tosylate", "sorbate", "sorbic acid", "sorbitan", "sorbitan dioleate", "sorbitan isostearate", "sorbitan monolaurate", "sorbitan monooleate", "sorbitan monopalmitate", "sorbitan monostearate", "sorbitan olivate", "sorbitan sesquioleate", "sorbitan trioleate", "sorbitan tristearate", "sorbitol", "sorbitrate", "sorbityl laurate", "sorbus aucuparia fruit extract", "sore no more", "sorghum bicolor pollen extract", "sorghum bicolor stem juice extract", "sorghum bicolor whole extract", "sorghum extract", "soriatane", "sorilux", "sorine", "sotalol", "sotalol hydrochloride", "sotradecol", "sotret", "sotylize", "soulus", "sour cherry allergenic extract", "soursop extract", "southern bayberry pollen extract", "southern ragweed pollen extract", "southern yellowjacket venom protein", "sovaldi", "soy acid", "soy germ", "soy lecithin", "soy protein isolate", "soy protein isolate / soybean preparation", "soy protein-iron complex", "soy proteins", "soy sphingolipids", "soy sterol", "soybean allergenic extract", "soybean germ extract", "soybean lecithin", "soybean oil", "soybean preparation", "soybean seed oil", "soyethyl morpholinium ethosulfate", "spanish chestnut extract", "spanish sardine preparation", "spanish thyme oil", "sparfloxacin", "sparganium stoloniferium whole extract", "sparganium stoloniferum root extract", "sparklefresh", "sparklefresh anticavity", "spasdel", "spatholobus suberectus stem extract", "spearmint allergenic extract", "spearmint extract", "spearmint oil", "spec-tuss", "spectinomycin", "spectinomycin hydrochloride", "spectinomycin sulfate tetrahydrate", "spectogard", "spectracef", "spectramast", "spectrocin plus", "spectrum-4", "spelt seed extract", "spermaceti", "spermidine", "spermine", "sphaeranthus indicus flowering top extract", "sphagnum squarrosum extract", "spherusol", "spigelia anthelmia preparation", "spigelia marilandica preparation", "spigelia marilandica root extract", "spike lavender oil", "spinach allergenic extract", "spinacia oleracea root extract", "spinosad", "spiny pigweed pollen extract", "spiramycin", "spirapril", "spiriva", "spironolactone", "spirulina", "spirulina maxima preparation", "spongia officinalis preparation", "spongia officinalis skeleton extract", "spongia tosta", "spongilla lacustris extract", "sporanox", "sportscreme", "sprayzoin", "sprintec 28 day pack", "sprix", "sprycel", "squalane", "squalene", "squalene / vitamin e", "squalene oil", "squash allergenic extract", "squill extract", "sronyx 28 day pack", "ssd", "sski brand of potassium iodide", "st-37", "st. ives blemish & blackhead control", "st. john's wort extract", "st. joseph aspirin", "st. joseph cough suppressant", "stachybotrys chartarum allergenic extract", "stachys officinalis extract", "stadol", "stahist ad", "stahist ad liquid", "stalevo", "stanback headache powder", "stanback headache powder reformulated jan 2011", "standardized enzyme lactase", "standardized senna concentrate", "stangard", "stannate", "stannic oxide", "stannous 2-ethylhexanoate", "stannous cation", "stannous chloride", "stannous chloride,anhydrous", "stannous fluoride", "stannous fluoride dihydrate", "stannous iodide", "stannous oxide", "stannous tartrate", "stanozolol", "staphaseptic", "staphylococcus aureus", "staphylococcus aureus immunoserum", "staphylococcus aureus immunoserum, rabbit", "staphylococcus epidermidis", "staphylococcus epidermidis immunoserum rabbit", "staphylococcus haemolyticus", "staphylococcus simulans", "star anise extract", "star anise fruit extract", "star anise oil", "star anise whole extract", "star fruit extract", "starch", "starch / zinc oxide", "starch glycolate", "starch glycolate type a corn", "starch glycolate type a potato", "starch glycolate type b potato", "starch, rice", "starch, wheat", "starlix", "statrol", "statuss green reformulated jan 2012", "stavudine", "stavzor", "staxyn", "stearalkonium", "stearalkonium chloride", "stearalkonium hectorite", "stearamide", "stearamide amp", "stearamidoethyl diethylamine", "stearamidopropyl pg-dimonium chloride phosphate", "stearamine", "stearate", "steareth-10", "steareth-100", "steareth-12", "steareth-15", "steareth-2", "steareth-20", "steareth-20 methacrylate", "steareth-21", "steareth-30", "steareth-4", "steareth-7", "stearic acid", "stearic diethanolamide", "stearic monoethanolamide", "stearoamphoacetate", "stearoxytrimethylsilane", "stearoyl glutamate", "stearoyl glutamic acid", "stearoyl lactylate", "stearyl alcohol", "stearyl behenate", "stearyl ethylhexanoate", "stearyl fumarate", "stearyl glucoside", "stearyl glycyrrhetinate", "stearyl heptanoate", "stearyl myristate", "stearyl stearate", "stearyl triethoxysilane", "steiro lotion", "stelara", "stellaria media extract", "stemmacantha carthamoides root extract", "stemona sessilifolia root extract", "stemona tuberosa root extract", "stemphylium extract", "stemphylium sarciniforme extract", "stemphylium solani extract", "stendra", "stephania tetrandra root extract", "sterile water", "stevia rebaudiana whole extract", "stevia rebaudiuna leaf extract", "steviol", "stevioside", "stichopus sea cucumber", "stigmasterol", "stillingia sylvatica root extract", "stimate", "stingeze max", "stingeze w/ camphor", "stinging nettle extract", "stiolto", "stivarga", "stonarhini", "stop lice maximum strength", "stopain", "strattera", "strattera 10/18/25/40 kit", "strattera 18/25/40/60 kit", "strattera 25/40/60/80 kit", "strawberry allergenic extract", "strawberry juice", "strensiq", "streptococcus agalactiae", "streptococcus dysgalactiae", "streptococcus equinus", "streptococcus mutans", "streptococcus pneumoniae", "streptococcus pneumoniae immunoserum rabbit", "streptococcus pneumoniae serotype 1 capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 1 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 14 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 18c capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 19a capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 19f capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 23f capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 3 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 4 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 5 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 6a capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 6b capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 7f capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 9v capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 14 capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 14 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 18c capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 19f capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 23f capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 4 capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 6b capsular antigen diphtheria crm197 protein conjugate vaccine / streptococcus pneumoniae serotype 9v capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 18c capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 19a capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 19f capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 23f capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 3 capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 4 capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 5 capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 6a capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 6b capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 7f capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pneumoniae serotype 9v capsular antigen diphtheria crm197 protein conjugate vaccine", "streptococcus pyogenes", "streptococcus pyogenes immunoserum rabbit", "streptococcus uberis", "streptococcus viridans group", "streptodornase", "streptodornase / streptokinase", "streptokinase", "streptomyces griseus allergenic extract", "streptomycin", "streptomycin sulfate", "streptozocin", "stri-dex", "stri-dex clear gel", "striant", "stribild", "stridex", "stridex essential", "string bean allergenic extract", "striverdi", "strix", "stromectol", "strongid", "strontium", "strontium bromide", "strontium carbonate preparation", "strontium cation", "strontium cation sr-89", "strontium chloride", "strontium chloride hexahydrate", "strontium nitrate", "strontium-89", "strontium-89 chloride", "strophanthus gratus seed extract", "strophanthus hispidus seed extract", "strophanthus kombe whole extract", "strychnine", "strychnine nitrate", "strychnine phosphate dihydrate", "strychnine sulfate", "strychnos ignatii preparation", "strychnos ignatii seed extract", "strychnos ignatii whole extract", "strychnos nux-vomica seed extract", "strychnos nux-vomica whole extract", "strychnos wallichiana bark extract", "stye", "styphnolobium japonicum flower extract", "styphnolobium japonicum leaf extract", "styphnolobium japonicum root extract", "stypocaulon scoparium preparation", "styptocaine", "styptstix", "styramate", "styrax benzoin resin", "styrene", "styrene-acrylamide copolymer (mw 500000)", "su-tuss hd", "suave men 2 in 1", "sub zero", "sublimaze", "suboxone", "subsys", "subutex", "succimer", "succinate", "succinic acid", "succinic anhydride", "succinylated gelatin", "succinylcholine", "succinylcholine chloride", "succinylcholine iodide", "succinylsulfathiazole", "suclear kit {1 (16 oz magnesium sulfate 1.6 gm / potassium sulfate 3.13 gm / sodium sulfate 17.5 gm oral solution) / 1 (peg-3350 210 gm / potassium chloride 0.74 gm / sodium bicarbonate 2.86 gm / sodium chloride 5.6 gm powder for 2 liter oral solution)} pack", "suclor", "sucraid", "sucralfate", "sucralfate malate", "sucrets", "sucrets complete", "sucrets dm", "sucrets herbal", "sucrets ice", "sucrets original", "sucroferric oxyhydroxide", "sucromate", "sucrose", "sucrose acetate isobutyrate", "sucrose cocoate", "sucrose distearate", "sucrose monolaurate", "sucrose monostearate", "sucrose octaacetate", "sucrose octastearate", "sucrose palmitate", "sucrose stearate-palmitate ester (75% mono ester)", "sucrose syrup", "sucrose tetraisostearate", "sucrose tetrastearate triacetate", "sudafed", "sudafed om", "sudafed pe", "sudafed pe children's cold & cough", "sudafed pe children's nasal decongestant", "sudafed pe day & night nasal congestion tablet pack", "sudafed pe non-drying sinus", "sudafed pe sinus & allergy", "sudafed pe sinus headache", "sudafed sinus & allergy", "sudafed sinus & pain", "sudan grass pollen extract", "sudan iii", "sudan red", "sudatuss 2 df", "sudatuss sf", "sudo-tab", "sudodrin", "sudogest", "sudogest pe", "sudogest sinus & allergy", "sufenta", "SUFentanil", "SUFentanil Citrate", "sugar beet allergenic extract", "sugar beet pollen extract", "sugar maple pollen extract", "sugarcane allergenic extract", "sugarcane extract", "sular", "sulbactam", "sulbactam pivoxyl", "sulbactam sodium", "sulbenicillin", "sulbutiamine", "sulconazole", "sulconazole nitrate", "sulf-10", "sulfabenzamide", "sulfabenzamide / sulfacetamide / sulfathiazole", "sulfacetamide", "sulfacetamide / sulfur", "sulfacetamide / vitamin b6", "sulfacetamide sodium", "sulfachrysoidine", "sulfachrysoidine sodium", "sulfacytine", "sulfADIAZINE", "sulfADIAZINE / Sulfamerazine / Sulfamethazine", "sulfADIAZINE / tetroxoprim", "sulfADIAZINE / Trimethoprim", "sulfADIAZINE SODIUM", "sulfadimethoxine", "sulfadimethoxine sodium", "sulfadoxine", "sulfaethidole", "sulfaethidole / sulfamethizole", "sulfaguanidine", "sulfalene", "sulfalene / trimethoprim", "sulfamed", "sulfamerazine", "sulfamerazine / trimethoprim", "sulfamerazine sodium", "sulfamethazine", "sulfamethazine / trimethoprim", "sulfamethazine sodium", "sulfamethizole", "sulfamethoxazole", "sulfamethoxazole / trimethoprim", "sulfamethoxypyridazine", "sulfametrole", "sulfametrole / trimethoprim", "sulfamoxole", "sulfamoxole / trimethoprim", "sulfamylon", "sulfanilamide", "sulfanilylurea", "sulfapyridine", "sulfaquinoxaline", "sulfaquinoxaline sodium", "sulfaSALAzine", "sulfate ion", "sulfated mucopolysaccharides", "sulfathiazole", "sulfathiazole sodium", "sulfatrim", "sulfazine", "sulfide ion", "sulfinpyrazone", "sulfisomidine", "sulfiSOXAZOLE", "sulfiSOXAZOLE Diolamine", "sulfo-lo", "sulfoam", "sulfobetaine", "sulfobromophthalein", "sulfobromophthalein sodium", "sulfobutylether-beta-cyclodextrin", "sulfonated oleic acid", "sulfonated phenol", "sulfonated phenol / sulfuric acid", "sulfooleate", "sulfosalicylate", "sulfur", "sulfur / zinc oxide", "sulfur / zinc oxide / zinc sulfate", "sulfur / zinc pyrithione", "sulfur dioxide", "sulfur hexafluoride", "sulfur iodide", "sulfur,colloidal", "sulfurated lime", "sulfuric acid", "sulindac", "sulisobenzone", "sulmasque", "sulpho-lac", "sulpiride", "sultamicillin", "sultamicillin tosylate", "sulthiame", "sultilains", "sultopride", "sultopride hydrochloride", "sumadan wash", "SUMAtriptan", "SUMAtriptan Succinate", "sumavel", "sumaxin", "sumbul", "summer's eve medicated", "summers eve anti-itch", "sumycin", "sunflower lecithin", "sunflower pollen extract", "sunflower seed allergenic extract", "sunflower seed extract", "sunflower seed oil", "sunflower seed oil glycereth-8 esters", "SUNItinib", "SUNItinib malate", "supac", "supartz", "super 2x", "super dophilus", "super spot remover", "superdent hemal", "superoxide dismutase", "superoxide dismutase (cu-zn) saccharomyces cerevisiae", "supersmile", "suphera", "supprelin", "supra sulfa", "supraderm", "suprane", "suprax", "suprelorin", "supreme", "suprenza", "suprofen", "suramin", "sure shot 2x", "surfak stool softener", "surfaxin", "surmontil", "surolan", "surpass anti-inflammatory", "survanta", "sus scrofa achilles tendon preparation", "sus scrofa adrenal gland preparation", "sus scrofa ankle joint preparation", "sus scrofa artery preparation", "sus scrofa bile duct preparation", "sus scrofa blood preparation", "sus scrofa bone marrow preparation", "sus scrofa bone preparation", "sus scrofa brainstem preparation", "sus scrofa bronchus preparation", "sus scrofa capillary tissue preparation", "sus scrofa cartilage preparation", "sus scrofa cerebellum preparation", "sus scrofa cerebral cortex preparation", "sus scrofa cerebrum preparation", "sus scrofa colon preparation", "sus scrofa conjunctiva preparation", "sus scrofa corpus luteum preparation", "sus scrofa dander preparation", "sus scrofa diencephalon preparation", "sus scrofa duodenum preparation", "sus scrofa ear preparation", "sus scrofa embryo preparation", "sus scrofa esophagus preparation", "sus scrofa eye preparation", "sus scrofa fallopian tube preparation", "sus scrofa frontal lobe preparation", "sus scrofa gallbladder preparation", "sus scrofa hip joint preparation", "sus scrofa hippocampus preparation", "sus scrofa hypothalamus preparation", "sus scrofa ileum preparation", "sus scrofa intervertebral disc preparation", "sus scrofa jejunum preparation", "sus scrofa joint capsule preparation", "sus scrofa knee joint preparation", "sus scrofa large intestine preparation", "sus scrofa ligament preparation", "sus scrofa limbic system preparation", "sus scrofa lung preparation", "sus scrofa lymph preparation", "sus scrofa mammary gland preparation", "sus scrofa meniscus preparation", "sus scrofa mesenchyme preparation", "sus scrofa nasal mucosa preparation", "sus scrofa nerve preparation", "sus scrofa oral mucosa preparation", "sus scrofa ovary preparation", "sus scrofa pancreas preparation", "sus scrofa parathyroid gland preparation", "sus scrofa peyer's patch preparation", "sus scrofa pineal gland preparation", "sus scrofa pituitary gland preparation", "sus scrofa placenta preparation", "sus scrofa prostate preparation", "sus scrofa pylorus preparation", "sus scrofa rectum preparation", "sus scrofa red blood cell preparation", "sus scrofa renal pelvis preparation", "sus scrofa solar plexus preparation", "sus scrofa spinal cord preparation", "sus scrofa spleen preparation", "sus scrofa stomach preparation", "sus scrofa superior gastric plexus preparation", "sus scrofa sympathetic nerve preparation", "sus scrofa temporal lobe preparation", "sus scrofa tendon preparation", "sus scrofa testicle preparation", "sus scrofa thalamus lateral geniculate nucleus preparation", "sus scrofa thalamus preparation", "sus scrofa thymus preparation", "sus scrofa tonsil preparation", "sus scrofa tooth preparation", "sus scrofa umbilical cord preparation", "sus scrofa ureter preparation", "sus scrofa urethra preparation", "sus scrofa urinary bladder preparation", "sus scrofa uterus preparation", "sus scrofa vagus nerve preparation", "sus scrofa vein preparation", "sus scrofa ventricle preparation", "sustain", "sustiva", "sutan suspension", "sutent", "suttar", "suvorexant", "suxamethonium bromide", "sweet cherry allergenic extract", "sweet gum pollen extract", "sweet marjoram extract", "sweet marjoram oil", "sweet potato allergenic extract", "sweet vernal grass pollen extract", "sweet-ease", "sweetleaf preparation", "sweetleaf preparation / zinc acetate", "sweetleaf preparation / zinc chloride", "swertia japonica extract", "swineaid", "swiss kriss", "swordfish allergenic extract", "sydney golden wattle pollen extract", "syeda 28 day pack", "sylatron", "sylvant", "symax", "symbicort", "symbyax", "symlin", "symphoricarpos albus fruit extract", "symphytum officinale whole extract", "symphytum tuberosum root extract", "symphytum uplandicum leaf extract", "symplocarpus foetidus root extract", "synagis", "synalar", "synalgos-dc", "synanthic", "synapryn", "synarel", "syncephalastrum racemosum allergenic extract", "syncol", "synephrine", "synephrine tartrate", "synera", "synercid", "synjardy", "synotic", "synovacin", "synovex", "synovex c", "synribo", "synthetic camphor", "synthetic conjugated estrogens, a", "synthetic conjugated estrogens, b", "synthetic wax (1200 mw)", "synthetic wax (1800 mw)", "synthetic wax (1900 mw)", "synthetic yellow iron oxide", "synthroid", "synvisc", "syprine", "syrian hamster hair extract", "syrian hamster skin extract", "syringa vulgaris flower extract", "syringa vulgaris whole extract", "systane", "systane balance", "systane nighttime", "systane overnight therapy", "syzygium aromaticum fruit extract", "syzygium aromaticum whole extract", "syzygium cumini seed extract", "syzygium jambos leaf extract", "syzygium jambos seed extract", "t-painol", "t-painol extra strength", "t/gel therapeutic", "t8 keto flush", "tab tussin", "tabasco pepper extract", "tabebuia heterophylla bark extract", "tabebuia impetiginosa bark extract", "tabebuia impetiginosa leaf extract", "tabebuia impetiginosa whole extract", "tabloid", "tac", "tacalcitol", "tachosil", "taclonex", "tacrine", "tacrine hydrochloride", "tacrolimus", "tacrolimus monohydrate", "tact cool jelly", "tact cream", "tactinal", "tadalafil", "tadenan", "taenia saginata preparation", "taenia solium preparation", "tafamidis", "tafinlar", "tafluprost", "tag alder pollen extract", "tagamet", "tagetes erecta flower extract", "tagetes erecta whole extract", "tagetes minuta flower oil", "tagrisso", "take action", "take control", "talacen", "talactoferrin alfa", "talampicillin", "talampicillin napsylate", "talbutal", "talc", "talc / zinc oxide", "taliglucerase alfa", "talimogene laherparepvec", "talinolol", "tall oat grass pollen extract", "tall oil", "tall oil acid", "tallow acid, beef", "talniflumate", "talwin", "talwin nx", "tamanu oil", "tamarack pollen extract", "tamarind extract", "tamarind seed extract", "tambocor", "tamiflu", "tamoxifen", "tamoxifen citrate", "tamsulosin", "tamsulosin hydrochloride", "tanac liquid", "tanacetum parthenium flower extract", "tanacetum vulgare top extract", "tanahist-d", "tanahist-pd", "tanda pearl whitening", "tandem", "tandem f", "tandem ob", "tandem plus", "tangerine allergenic extract", "tangerine extract", "tangerine peel extract", "tannic acid", "tannic-12 s", "tansy oil", "tantalum", "tanzeum", "tapazole", "tapentadol", "tapentadol hydrochloride", "tapioca starch allergenic extract", "taraxacum mongolicum extract", "taraxacum officinale flower extract", "taraxacum officinale leaf extract", "taraxacum officinale whole extract", "taraxacum palustre root extract", "tarceva", "targiniq", "targretin", "tarina fe 1/20 28 day pack", "tarka", "tarsum", "tartaric acid", "tartaric acid, d-", "tartrate", "tartrazine", "tasigna", "tasimelteon", "tasmar", "tasonermin", "taurate", "taurine", "taurine / vitamin b6", "taurine deoxycholate", "tavaborole", "tavist", "tavist nighttime allergy", "tavist non-sedating", "tavist sinus", "taxotere", "taxus baccata fruit extract", "tazarotene", "tazicef", "tazobactam", "tazobactam sodium", "tazorac", "taztia", "tbc brand of balsam peru/castor oil/trypsin", "tbo-filgrastim", "tea leaf extract", "tea leaf oil", "tea tree extract", "tea tree oil", "tea-dodecylbenzenesulfonate", "tears again eye drops", "tears again ointment", "tears naturale", "tears naturale forte", "tears naturale pm", "tears renewed", "teat dip-hp10", "teat guard", "teat-glo", "tecfidera", "technetium 99m", "technetium tc 99m arcitumomab", "technetium tc 99m bicisate", "technetium tc 99m disofenin", "technetium tc 99m exametazime", "technetium tc 99m medronate", "technetium tc 99m pertechnetate", "technetium tc 99m sestamibi", "technetium tc 99m sulfur colloid", "technetium tc 99m tilmanocept", "technetium tc-99m pyrophosphate", "technivie", "tecnu first aid", "tedizolid", "tedizolid phosphate", "teduglutide", "teferrol", "teflaro", "tegafur", "tegafur / uracil", "tegaserod", "tegaserod maleate", "TEGretol", "tegrin medicated", "tegrin-lt lice spray", "tegrin-lt shampoo", "teicoplanin", "tekamlo", "tekral", "tekturna", "tekturna hct", "telaprevir", "telavancin", "telavancin hydrochloride", "telazol", "telbivudine", "teldrin hbp", "telithromycin", "tellurium", "telmesteine", "telmisartan", "temafloxacin", "temafloxacin hydrochloride", "temaril-p", "temazepam", "temocillin", "temodar", "temoporfin", "temovate", "temozolomide", "tempra", "tempra 2", "tempra quicklets", "temsirolimus", "tena", "tenar pse", "tencon", "tenecteplase", "tenex", "teniposide", "tenivac", "tenofovir", "tenofovir alafenamide", "tenofovir alafenamide fumarate", "tenofovir anhydrous", "tenofovir disoproxil", "tenofovir disoproxil fumarate", "tenonitrozole", "tenoretic", "tenormin", "tenoxicam", "tepanil", "tequin", "tera gel", "terazol 3", "terazol 7", "terazosin", "terazosin hydrochloride", "terazosin hydrochloride anhydrous", "terazosine starter pack", "terbinafine", "terbinafine hydrochloride", "terbinex", "terbium", "terbutaline", "terbutaline / theophylline", "terbutaline sulfate", "terconazole", "terfenadine", "teriflunomide", "teriparatide", "teriparatide acetate", "terizidone", "terlipressin", "terminalia bellirica fruit extract", "terminalia chebula fruit extract", "terodiline", "terodiline hydrochloride", "terpin hydrate", "terpineol", "terpinyl acetate", "terra-cortril", "terra-vet", "terramycin", "terrell", "tersi foam", "tert-butyl alcohol", "tert-butyl methacrylate", "tertatolol", "tertatolol hydrochloride", "tesamorelin", "tesamorelin acetate", "tessalon", "tessalon perles", "testim", "testolactone", "testopel", "testosterone", "testosterone (micronized)", "testosterone 17-phenylpropionate", "testosterone 17-phenylpropionate / testosterone decanoate / testosterone isocaproate / testosterone propionate", "testosterone 17-phenylpropionate / testosterone isocaproate / testosterone propionate", "testosterone cypionate", "testosterone decanoate", "testosterone enanthate", "testosterone isocaproate", "testosterone propionate", "testosterone undecanoate", "testred", "tetanus antitoxin", "tetanus immune globulin, human", "tetanus immune globulin, human / tetanus toxoid vaccine, inactivated", "tetanus toxoid vaccine, inactivated", "tetcaine", "tetraarsenic tetrasulfide", "tetrabenazine", "tetracaine", "tetracaine / tricarbaurinium", "tetracaine / tyrothricin", "tetracaine hydrochloride", "tetrachloroaurate", "tetrachloroaurate ion", "tetracoccosporium paxianum allergenic extract", "tetracycline", "tetracycline / troleandomycin", "tetracycline hydrochloride", "tetracycline trihydrate", "tetradecamethylhexasiloxane", "tetradecene", "tetradecyl hydrogen sulfate (ester)", "tetradium ruticarpum fruit extract", "tetraethylammonium hydroxide", "tetrafluoromethane", "tetrahexyldecyl ascorbate", "tetrahydrobisdemethoxydiferuloylmethane", "tetrahydrocannabinol", "tetrahydrodemethoxydiferuloylmethane", "tetrahydrodiferuloylmethane", "tetrahydrofurfuryl oleate", "tetrahydropiperine", "tetrahydrozoline", "tetrahydrozoline / zinc sulfate", "tetrahydrozoline hydrochloride", "tetrakis(1-isocyano-2-methoxy-2-methyl-propane)-copper(i) tetrafluoroborate", "tetramethyl acetyloctahydronaphthalenes", "tetramethylthiuram monosulfide", "tetrapeptide-21", "tetrapeptide-6", "tetrapropyl orthosilicate", "tetrasilane", "tetrasodium glutamate diacetate", "tetrasodium iminodisuccinate", "tetravisc", "tetrazepam", "tetrofosmin", "tetroxoprim", "tetterine", "teucrium marum extract", "teucrium marum top extract", "teucrium scorodonia flowering top extract", "teucrium scorodonia whole extract", "tev tropin", "teveten", "teveten hct", "texacort", "thalidomide", "thalitone", "thallium", "thallium cation tl-201 (1+)", "thallium sulfate", "thallous cation tl-201", "thallous chloride tl201", "thalomid", "tham brand of tromethamine", "thatzit", "thaumatin", "thaumatococcus daniellii fruit extract", "the itch eraser", "the magic bullet", "theaflavin", "theanine", "thenoate lithium", "thenyldiamine", "theo-24", "theobroma cacao whole extract", "theobroma grandiflorum seed butter extract", "theobroma grandiflorum seed extract", "theobromine", "theobromine sod salicylate", "theochron", "theodrenaline", "theodur", "theofibrate", "theolair", "theomar g.g.", "theophylline", "theophylline anhydrous", "theophylline sodium glycinate", "thera tears", "thera-d", "thera-gesic", "thera-gesic plus", "therabloat", "therabreath", "theracran", "theracys", "theraflu flu & chest congestion", "theraflu vapor stick", "therafreeze", "theramycin", "theraplex eczema therapy", "theraplex t", "theraplex z", "theraseal hand protection", "therastat", "theratears", "theraworx", "theridion curassavicum preparation", "thermazene", "thermomyces lanuginosus allergenic extract", "thermus thermophilus extract", "thermus thermophilus lysate", "thiabendazole", "thiamine", "thiamine / thioctate", "thiamine / vitamin b 12", "thiamine / vitamin b6", "thiamine / vitamin e", "thiamine disulfide", "thiamine hydrochloride", "thiamine ion", "thiamine mononitrate", "thiamine pyrophosphate", "thiamphenicol", "thiamphenicol glycinate", "thiamylal", "thiamylal sodium", "thiethylperazine", "thiethylperazine malate", "thimerosal", "thiobutabarbital", "thiobutabarbital sodium", "thiocolchicoside", "thioctate", "thioctate / vitamin b 12", "thioctate / vitamin e", "thioctic acid", "thioctic acid amide", "thiocyanate", "thioglycerol", "thioglycolate", "thioguanine", "thioguanine anhydrous", "thiola", "thiopental", "thiopental sodium", "thiophene", "thiopropazate", "thioproperazine", "thioredoxin", "thioridazine", "thioridazine hydrochloride", "thiosalicylate", "thiosalicylic acid", "thiostrepton", "thiosulfate ion", "thiotaurine", "thiotepa", "thiothixene", "thiothixene hydrochloride", "thiphenamil", "thiram", "thonzonium", "thonzonium bromide", "thonzylamine", "thonzylamine hydrochloride", "thoracol", "thorium", "threda", "three-lobe sage extract", "threonate", "threonic acid, dl-", "threonic acid, l-", "threonine", "thrive", "throat-releev", "thrombate iii", "thrombin", "thrombin (human)", "thrombin alfa", "thrombin-jmi", "thrushtox", "thuja occidentalis bark extract", "thuja occidentalis leaf extract", "thuja occidentalis leafy twig extract", "thuja occidentalis preparation", "thuja occidentalis root extract", "thuja occidentalis whole extract", "thuja plicata leaf extract", "thujopsis dolabrata leafy twig extract", "thujopsis dolabrata whole extract", "thulium", "thurfyl salicylate", "thuringiensin", "thymalfasin", "thyme allergenic extract", "thyme oil", "thyme preparation", "thymidine", "thymine", "thymocyte immunoglobulin", "thymocyte immunoglobulin, equine", "thymoglobulin", "thymol", "thymol iodide", "thymomodulin", "thymopentin", "thymopentin acetate", "thymostimulin", "thymoxamine hydrochloride", "thymus citriodorus leaf extract", "thymus extracts", "thymus gland-calf", "thymus mastichina flowering top oil", "thymus oil", "thymus serpyllum extract", "thymus vulgaris leaf extract", "thymus vulgaris whole extract", "thyro-tabs", "thyrogen", "thyroglobulin", "thyroid (beef)", "thyroid (usp)", "thyroid, ovine", "thyroid, porcine", "thyrokare", "thyrolar", "thyromed", "thyrosafe", "thyroshield", "thyrotropin", "thyrotropin alfa (usp)", "thyrotropin-releasing hormone", "thyroxine", "thyroxine / triiodothyronine", "tiadenol", "tiadilon", "tiaGABine", "tiaGABine hydrochloride", "tiamulin", "tiamulin fumarate", "tianeptine", "tiapride", "tiaprofenate", "tiaprofenic acid", "tiazac", "tibezonium iodide", "tibolone", "ticagrelor", "ticarcillin", "ticarcillin disodium", "tice bcg", "tick-born encephalitis vacc", "ticlid", "ticlopidine", "ticlopidine hydrochloride", "tiemonium", "tiemonium methylsulfate", "tigan", "tigecycline", "tiger balm", "tiger balm liniment", "tiger balm muscle rub", "tiger balm pain relieving", "tiger balm ultra thin", "tikosyn", "tilbroquinol", "tildipirosin", "tildren", "tiletamine", "tiletamine / zolazepam", "tiletamine hydrochloride", "tilia americana flower extract", "tilia cordata flower extract", "tilia cordata wood extract", "tilia cordata, whole extract", "tilia extract", "tilia fe 28 day pack", "tilia platyphyllos flower extract", "tilia x europaea flower extract", "tilidine", "tilidine hydrochloride", "tiliroside", "tilmicosin", "tilmicosin phosphate", "tiludronate", "tiludronate disodium", "tiludronic acid", "timentin", "timolol", "timolol anhydrous", "timolol hemihydrate", "timolol maleate", "timoptic", "timothy grass pollen extract", "tin", "tinactin", "tinaderm", "tindamax", "tineacide", "tineacide antifungal", "tineacide antifungal reformulated jun 2013", "ting", "ting af", "ting cream", "tinidazole", "tinidazole / tioconazole", "tinospora capillipes root extract", "tinzaparin", "tinzaparin sodium", "tinzaparin sodium,porcine", "tioclomarol", "tioconazole", "tiopronin", "tiotropium", "tiotropium bromide", "tiotropium bromide mono", "tiotropium bromide monohydrate", "tipiracil", "tipiracil / trifluridine", "tipiracil hydrochloride", "tipranavir", "tiratricol", "tirilazad", "tirilazad mesylate hydrate", "tirofiban", "tirofiban hydrochloride", "tiropramide", "tiropramide hcl", "tirosint", "tis-u-sol", "tisopurine", "tisseel", "tissue respiratory factor", "titanium", "titanium dioxide", "titanium dioxide / zinc oxide", "titralac", "titralac plus", "titration sample pack (7 eslicarbazepine acetate 400 mg oral tablet / 7 eslicarbazepine acetate 800 mg oral tablet)", "tivicay", "tivorbex", "tixocortol", "tixocortol pivalate", "tiZANidine", "tiZANidine hydrochloride", "tl gard rx", "tl-hist cd", "tl-hist cm", "tnkase", "tobacco leaf extract", "tobi", "tobi podhaler daily kit, including 8 capsules (1 blister card of 8 capsules)", "tobi podhaler kit, 224", "tobi podhaler weekly kit, including 56 capsules (7 blister cards of 8 capsules)", "tobradex", "tobramycin", "tobramycin sulfate", "tobrex", "tocainide", "tocainide monohydrochloride", "tocamphyl", "toceranib", "toceranib phosphate", "tocilizumab", "tocopherol", "tocopherol acetate", "tocopherol,dl-alpha", "tocophersolan", "tocopheryl acid succinate,d-alpha", "tocopheryl nicotinate, d-.alpha.", "tocopheryl retinoate", "tocotrienol, alpha", "tocotrienols", "tocotrienols / vitamin e", "today", "tofacitinib", "tofacitinib citrate", "tofisopam", "tofranil", "tofranil-pm", "tolak", "TOLAZamide", "tolazine", "tolazoline", "tolazoline hydrochloride", "TOLBUTamide", "TOLBUTamide sodium", "tolcapone", "tolciclate", "tolfenamic acid", "tolinase", "tolmetin", "tolmetin sodium", "tolnaftate", "tolnaftate / triacetin", "tolnaftate / triclosan", "tolonium chloride", "toloxatone", "tolperisone", "tolrestat", "tolterodine", "tolterodine tartrate", "toltrazuril", "tolu balsam", "toluene", "tolvaptan", "tomato allergenic extract", "tomato juice", "tomato seed oil", "tomorrow", "tootsweet", "topamax", "topex", "topicaine", "topical hemo-stat", "topicale", "topicale xtra", "topicool", "topicort", "topiramate", "toposar", "topotecan", "topotecan hydrochloride", "toprol", "toradol", "torbugesic", "torecan", "toremifene", "toremifene citrate", "torilis japonica whole extract", "torisel", "tormentil", "torreya nucifera whole extract", "torsemide", "tositumomab", "totarol", "totect", "toujeo", "tourmaline", "touro allergy", "touro dm", "touro hc", "touro la", "toviaz", "toxi-sorb", "toxicodendron diversilobum leaf extract", "toxicodendron preparation", "toxicodendron pubescens leaf extract", "toxicodendron pubescens shoot extract", "toxicodendron radicans leaf extract", "toxicodendron succedaneum whole extract", "toxicodendron vernicifluum fruit rind wax", "toxicodendron vernix leafy twig extract", "toxoplasma gondii", "trabectedin", "tracleer", "tradjenta", "tragacanth", "tragacanth allergenic extract", "traMADol", "traMADol hydrochloride", "tramazoline", "trametes versicolor fruiting body extract", "trametes versicolor whole extract", "trametinib", "trametinib dimethyl sulfoxide", "tramiprosate", "trancot", "trandate", "trandolapril", "trandolapril / verapamil", "trandolaprilat", "tranexamic acid", "tranilast", "tranquived", "trans-ver-sal", "transanosil", "transderm scop", "transforming growth factor beta 1", "transforming growth factor beta 2", "tranxene", "tranylcypromine", "tranylcypromine / trifluoperazine", "tranylcypromine sulfate", "trapidil", "trastuzumab", "trasylol", "trav-l-tabs", "travasol 10", "travatan", "travel-ease", "travoprost", "traZODone", "traZODone Hydrochloride", "treanda", "trecator", "tree of heaven pollen extract", "trehalose", "trehalose dihydrate", "trehalose isostearate esters", "trehalulose", "trelstar", "trelstar pamoate", "tremella fuciformis fruiting body extract", "tremella fuciformis whole extract", "trenbolone", "trenbolone acetate", "TRENtal", "treosulfan", "trepibutone", "treponema pallidum immunoserum rabbit", "treponemic skin canker preparation, human", "treprostinil", "treprostinil sodium", "tresaderm", "tresiba", "tretin x", "tretinoin", "tretinoin / urea", "tretinoin microsphere", "tretten", "trexall", "treximet", "trezix", "tri biozene", "tri-chlor", "tri-estarylla 28 day pack", "tri-heart plus", "tri-legest fe 28 day pack", "tri-levlen 28 day pack", "tri-linyah 28 day pack", "tri-lo- estarylla 28 day pack", "tri-lo-marzia 28-day pack", "tri-lo-sprintec 28 day pack", "tri-luma", "tri-norinyl 28 day pack", "tri-otic for canines", "tri-pak", "tri-previfem 28 day pack", "tri-sprintec 28 day pack", "tri-vi-sol", "tri-vi-sol with iron", "triacetin", "triacetoneamine-n-oxyl", "triacetyldithranol", "triacin c", "triacontanyl pvp (wp-660)", "triadine", "triamcinolone", "triamcinolone / urea", "triamcinolone acetonide", "triamcinolone diacetate", "triamcinolone hexacetonide", "triamcot", "triaminic allerchews", "triaminic allergy", "triaminic chest & nasal congestion", "triaminic chest congestion", "triaminic chest congestion reformulated nov 2006", "triaminic cold and allergy", "triaminic cold and allergy reformulated jan 2014", "triaminic cold and allergy reformulated mar 2007", "triaminic cough", "triaminic cough & runny nose", "triaminic cough & runny nose softchews", "triaminic cough & sore throat reformulated jul 2007", "triaminic cough and congestion", "triaminic day time cold & cough", "triaminic decongestant", "triaminic fever & pain", "triaminic infant drops reformulated nov 2010", "triaminic long acting cough", "triaminic long-acting cough & cold", "triaminic night time cold & cough", "triaminic softchew", "triaminic softchew cold and allergy", "triaminic softchews allergy congestion", "triaminic softchews allergy sinus", "triaminic softchews chest congestion", "triaminic softchews cough & sore throat reformulated jul 2007", "triaminic sore throat", "triaminic thin strips cold", "triamterene", "triamterene / xipamide", "trianex", "triant-hc", "triarachidin", "triaz", "triazolam", "triazulenone", "tribasic potassium phosphate", "tribasic sodium phosphate", "tribehenin", "tribehenin peg-20 esters", "tribenoside", "tribenzor", "tribulus", "tribulus terrestris extract", "tribulus terrestris fruit extract", "tribulus terrestris root extract", "tributyl citrate", "tributyl phosphate", "tricaine", "tricaine methanesulfonate", "tricalcium phosphate", "tricalm", "tricaprin", "tricaprylin", "tricaprylyl citrate", "tricarbaurinium", "trichilia emetica seed butter", "trichinella britovi", "trichinella spiralis", "trichlor fresh pak", "trichlorfon", "trichlormethiazide", "trichloroacetaldehyde", "trichloroacetate", "trichloroacetic acid", "trichlorofluoromethane", "trichlorosucrose", "trichlorotrifluoroethane", "trichoderma harzianam extract", "trichoderma harzianum extract", "trichoderma viride allergenic extract", "trichomonas vaginalis preparation", "trichophyton antigen", "trichophyton mentagrophytes antigen", "trichophyton mentagrophytes extract", "trichophyton rubrum allergenic extract", "trichophyton schoenleinii allergenic extract", "trichophyton tonsurans allergenic extract", "trichophyton verrucosum", "trichosanthes cucumerina seed extract", "trichosanthes kirilowii root extract", "trichosporon cutaneum allergenic extract", "trichothecium roseum extract", "triclocarban", "triclofos", "triclofos sodium", "triclosan", "triclosan / undecylenate", "triclosan / vitamin e", "triclosan / zinc oxide", "tricodene sugar free", "tricophyton preparation", "tricor", "tricyclodecenyl proprionate", "trideceth-10", "trideceth-12", "trideceth-5", "trideceth-6", "trideceth-9", "tridecyl alcohol", "tridecyl lactate", "tridecyl neopentanoate", "tridecyl salicylate", "tridecyl stearate", "tridecyl trimellitate", "triderm", "tridihexethyl", "tridihexethyl chloride", "tridione", "trientine", "trientine hydrochloride", "triesence", "triethanolamine", "triethanolamine 2-cyclohexyl-4,6-dinitrophenolate", "triethanolamine benzoate", "triethanolamine cocoyl glutamate", "triethanolamine hydrochloride", "triethanolamine lactate", "triethanolamine laurate", "triethanolamine lauryl sulfate", "triethanolamine polypeptide oleate condensate", "triethanolamine stearate", "triethanolamine sulfate", "triethylamine", "triethylene glycol", "triethylhexanoin", "triferic", "trifexis", "trifluoperazine", "trifluoperazine hydrochloride", "trifluperidol", "trifluperidol hcl", "triflupromazine", "triflupromazine hydrochloride", "trifluridine", "triflusal", "trifolium pratense flower extract", "trifolium pratense leaf extract", "trifolium pratense pollen extract", "trifolium repens flower extract", "trifolium repens pollen extract", "triglide", "trigonella foenum-graecum whole extract", "triheptanoin", "trihexyphenidyl", "trihexyphenidyl hydrochloride", "trihydroxypalmitamidohydroxypropyl myristyl ether", "trihydroxystearin", "triiodide ion", "triiodothyronine", "triisocetyl citrate", "triisononanoin", "triisopropanolamine", "triisostearin", "triisostearyl citrate", "trilaureth-4 phosphate", "trilaurin", "trileptal", "trilinolein", "trilinolenin", "trilipix", "trilisate", "trillium erectum extract", "trillium erectum root extract", "trilostane", "trilyte", "trimebutine", "trimebutine maleate salt", "trimeprazine", "trimeprazine tartrate", "trimetazidine", "trimetazidine di-hcl", "trimethadione", "trimethaphan", "trimethaphan camsylate", "trimethobenzamide", "trimethobenzamide hydrochloride", "trimethoprim", "trimethoprim hydrochloride", "trimethoprim lactate", "trimethoprim sulfate", "trimethoxybenzene", "trimethoxycaprylylsilane", "trimethyl pentaphenyl trisiloxane", "trimethyl-1,3-pentanediol", "trimethylbenzenepropanol", "trimethylolpropane", "trimethylolpropane triacrylate", "trimethylolpropane tricaprate", "trimethylolpropane triethylhexanoate", "trimethylolpropane triisostearate", "trimethylpentanediol-adipic acid-glycerin crosspolymer (25000 mpa.s)", "trimethylpentanediyl dibenzoate", "trimethylphloroglucinol", "trimethylsilane", "trimethylsiloxysilicate (m-q 0.6-0.8)", "trimethylsiloxysilicate (m-q 0.66)", "trimethylsiloxysilicate (m-q 0.8-1.0)", "trimethylsiloxysilicate (m-q 1.0-1.2)", "trimethylsilyl treated diimethiconol-trimethylsiloxysilicate crosspolymer (40-60 ww)", "trimetrexate", "trimetrexate glucuronate", "trimipramine", "trimipramine maleate", "trimipramine mesylate", "trimo san", "trimox", "trimyristin", "trinalin repetabs tablets", "trinessa 28 day pack", "trioctyldodecyl citrate", "triolein", "triostat", "trioxin", "trioxsalen", "tripalmitin", "tripe preparation", "tripelennamine", "tripelennamine citrate", "tripelennamine hydrochloride", "tripeptide-10 citrulline", "triphasic regimen (desogestrel/ethinyl estradiol tablets) 28 day pack", "triphasil 21 day pack", "triphasil 28 day pack", "triphed", "triphosphate", "triphosphoric acid", "triphosphoric acid, sodium salt", "triple paste", "triple paste af", "triple wormer", "triple x pediculicide", "tripleflex", "tripohist", "tripohist d", "tripolyphosphate ion", "tripotassium glycyrrhizinate", "triprolidine", "triprolidine hydrochloride", "triprolidine tannate", "tripterygium wilfordii root extract", "tripterygium wilfordii whole extract", "triptone", "triptorelin", "triptorelin acetate", "triptorelin pamoate", "tris(ppg-3 benzyl ether)", "tris(ppg-3 benzyl ether) citrate", "tris(tetramethylhydroxypiperidinol)", "tris(tetramethylhydroxypiperidinol) citrate", "tris-bht mesitylene", "trisenox", "trisiloxane", "trisodium citrate", "trisodium citrate anhydrous", "trisodium dicarboxymethyl alaninate", "trisodium dicarboxymethyl alaninate, l-", "trisodium edetate", "trisodium ethylenediamine disuccinate", "trisodium hedta", "tristearin", "trisudrine", "trisulfapyrimidine", "triticum aestivum extract", "triticum polonicum seed extract", "tritop", "tritoqualine", "triumeq", "triumph", "trivase", "trivora 28 day pack", "trizivir", "troclosene", "troclosene sodium", "trofosfamide", "troglitazone", "trokendi", "trolamine salicylate", "trolamine stearate", "troleandomycin", "tromantadine", "tromantadine hydrochloride", "tromethamine", "tromethamine hydrochloride", "tronolane anesthetic", "tropaeolum majus extract", "tropaeolum majus flower extract", "tropaeolum majus flowering top extract", "tropatepine", "tropatepine hcl", "trophamine 10 %", "trophamine 6 %", "tropicamide", "tropisetron", "tropisetron hydrochloride", "tropolone", "trospium", "trospium chloride", "trout allergenic extract", "trovafloxacin", "trovafloxacin mesylate", "trovan", "trovan iv", "trovan/zithromax compliance pak", "troxerutin", "troxerutin / vincamine", "troxerutin / vitamin e", "tru-blu c-hex 110", "tru-blu chlor hex-wash", "tru-micin", "trueplus glucose", "trulicity", "trumenba", "truprofen", "trusopt", "truvada", "truxcillin-vk", "trypan blue", "trypsin", "tryptophan", "tryptophan / vitamin b6", "tsuga canadensis bark extract", "tsuga canadensis flower bud extract", "tuberculin", "tuberculin, bovine", "tubersol", "tubocurarine", "tubocurarine chloride", "tucks", "tucks fast relief", "tucks hemorrhoidal", "tucks suppositories", "tucoprim", "tudorza", "tuftsin", "tulathromycin", "tulathromycin a", "tulobuterol", "tulobuterol hydrochloride", "tumeric oil", "tumil-k", "tums", "tums dual action", "tuna allergenic extract", "tuna preparation", "tungsten", "turkey allergenic extract", "turkey feather extract", "turmeric extract", "turmeric oil", "turnera diffusa leaf extract", "turnera diffusa leafy twig extract", "turnip allergenic extract", "turpentine", "turpentine / white spirit type 1", "tusnel c", "tusnel diabetic", "tusnel pediatric", "tussicaps", "tussiclear dh", "tussigon", "tussilago farfara extract", "tussilago farfara flower extract", "tussilago farfara whole extract", "tussilago petasites", "tussionex", "tussirex", "tuzistra", "twilite", "twinrix", "twynsta", "tybamate", "tybost", "tycolene", "tygacil", "tykerb", "tylan", "tylenol", "tylenol chest congestion", "tylenol childrens plus cough & sore throat", "tylenol cold relief nighttime", "tylenol pm", "tylenol severe allergy", "tylenol simply cough", "tylenol sinus", "tylenol sinus congestion and pain daytime", "tylenol with codeine", "tylophora indica leaf extract", "tylophora indica root extract", "tylophora indica whole extract", "tylosin", "tylosin phosphate", "tylosin tartrate", "tyloxapol", "tylvalosin", "tylvalosin tartrate", "typhim vi", "typhoid vaccine live ty21a", "typhoid vi polysaccharide vaccine, s typhi ty2 strain", "tyramine", "tyramine hcl", "tyropanoate", "tyrosine", "tyrothricin", "tysabri", "tyvaso", "tyzeka", "tyzine", "u-cort", "u-kera", "u-lactin", "ubiquinol", "ubiquinone", "ubiquinone / vitamin e", "ubiquinone q2", "uceris", "udderblend", "udderdine", "ulcerease", "ulcergard", "ulesfia", "ulex europaeus flower extract", "ulipristal", "ulipristal acetate", "ulkenia dha oil", "ulmus davidiana root extract", "ulmus procera flowering twig extract", "ulmus rubra bark extract", "ulmus rubra pollen allergenic extract", "uloric", "ultane", "ultiva", "ultra mide", "ultracare", "ultracet", "ultralente insulin, beef", "ultralente insulin, beef-pork", "ultralente insulin, human", "ultram", "ultramarine blue", "ultraprin", "ultrasal", "ultrase", "ultravate", "ultravate pac cream {1 (225 gm) (ammonium lactate 12 % topical lotion [lac-hydrin]) / 1 (50 gm) (halobetasol propionate 0.05 % topical cream [ultravate]) } pack", "ultravate pac {1 (225 gm) (ammonium lactate 12 % topical lotion [lac-hydrin]) / 1 (50 gm) (halobetasol propionate 0.05 % topical ointment [ultravate]) } pack", "ultresa", "ulva compressa extract", "ulva compressa protein (acid hydrolyzed, 300-5000 mw)", "ulva lactuca extract", "umeclidinium", "umeclidinium / vilanterol", "umeclidinium bromide", "umecta", "umecta pd", "un-aspirin", "unasyn", "unblemish", "unburn", "uncaria gambir whole extract", "uncaria rhynchophylla stem", "uncaria sinensis whole preparation", "uncaria tomentosa leaf extract", "uncaria tomentosa root extract", "undaria pinnatifida extract", "undeceth-7", "undecyl alcohol", "undecyl ethyleneglycol monoether", "undecylenate", "undecylenic acid", "undecylenic acid / zinc undecylenate", "undecylenic acid monoethanolamide", "undecylenoyl glycine", "undecylenoyl phenylalanine", "unguentine", "unguentine maximum strength", "uni salve", "uniferon", "unifiber", "uniphyl", "uniprim", "uniretic", "unisom", "unisom sleep", "unisom with pain relief", "unithiol", "unithroid", "unituxin", "univasc", "unoprostone", "uracil", "uracil mustard", "uramaxin", "uramit", "uranium", "uranium cation (6+)", "uranyl nitrate hexahydrate", "urapidil", "urea", "urea / vitamin e", "urea sulfate", "urea [14c]", "ureacin-10", "ureacin-20", "urecholine", "urelle", "urethane", "uretron", "uretron ds", "urex", "uribel", "uric acid", "uricalm", "uricalm intensive", "uridine", "uridine 5-mo-phos disod", "uridine triacetate", "uridine triphosphate na", "urimar", "urimar reformulated oct 2013", "urin ds", "urispas", "uristat", "uro-blue", "uro-mag", "urobiotic", "urocit-k", "uroeze", "urofollitropin", "urogesic blue", "urogesic blue reformulated apr 2012", "urokinase", "urolet", "urophen", "uroqid-acid no.2", "uroxatral", "urso", "urso forte", "ursodeoxycholate", "ursodiol", "ursolate", "ursolic acid", "urtica dioica leaf extract", "urtica dioica preparation", "urtica dioica root extract", "urtica preparation", "urtica urens extract", "urtica urens homeopathic preparation", "urtica urens leaf extract", "usnea barbata extract", "usnic acid", "ustekinumab", "ustell", "ustilago maydis antigen", "ustilago maydis extract", "uta capsule", "utah juniper pollen extract", "uti relief", "utibron", "uticap", "utira", "utopic", "uvadex", "v-cil-k", "vaccinia virus", "vaccinia virus strain new york city board of health live antigen", "vaccinium angustifolium leaf extract", "vaccinium angustifolium whole extract", "vaccinium myrtillus fruiting top extract", "vaccinium myrtillus leaf extract", "vaccinium myrtillus whole extract", "vaccinium vitis-idaea leaf extract", "vachellia farnesiana flower extract", "vagi-gard douche", "vagifem", "vagisil original formula", "vagisil satin", "vagisil wipes", "vagistat", "vagistat 3 combination pack", "vagistat-1", "valACYclovir", "valACYclovir hydrochloride", "valbazen", "valchlor", "valcyte", "valdecoxib", "valepotriate", "valerate", "valerian root extract", "valeriana officinalis whole extract", "valeric acid", "valGANciclovir", "valGANciclovir hydrochloride", "valiant barrier", "valiant shield", "valine", "valium", "valley oak pollen extract", "valproate", "valproic acid", "valrubicin", "valsartan", "valstar", "valtrex", "valtrum", "valtrum soothing", "valtrum sport", "valu-dryl", "vanachol", "vanacof", "vanacof ape", "vanacof g", "vanacof-8", "vanacon", "vanadium", "vanadyl sulfate", "vanahist pd", "vanatol", "vancenase", "vancocin", "vancomycin", "vancomycin hydrochloride", "vandazole", "vandetanib", "vanicream diaper rash", "vanilla bean allergenic extract", "vanilla planifolia oil", "vanillin", "vanillin 2,3-butanediol acetal, cis-", "vanillyl butyl ether", "vanillyl-n-nonylamide", "vanillylamine", "vaniply", "vaniqa", "vanos", "vanoxide-hc", "vanquish", "vantas", "vantin", "vaporex", "vaprino", "vaprisol", "vaqta", "vardenafil", "vardenafil hydrochloride", "vardenafil hydrochloride trihydrate", "varenicline", "varenicline continuing months of therapy pack", "varenicline first month of therapy pack", "varenicline tartrate", "varicella virus vaccine live (oka-merck) strain", "varicella zoster immuneglobulin (human)", "varicella-zoster immune globulin", "varicella-zoster virus vaccine live (oka-merck) strain", "varithena", "varivax", "varizig", "varubi", "vascepa", "vaseline", "vaseretic", "vasocidin", "vasocon", "vasoflex d1", "vasoflex hd", "vasolex", "vasopressin (usp)", "vasostrict", "vasotec", "vazculep", "vazobid-pd", "vazol", "vazol d", "vazotab reformulated dec 2013", "vazotuss hc", "vcf vaginal contraceptive", "veal allergenic extract", "vecamyl", "vectibix", "vectical", "vecuronium", "vecuronium bromide", "vecuronium cation", "vedolizumab", "velafermin", "velaglucerase alfa", "velcade", "veletri", "velivet 28 day pack", "velphoro", "veltassa", "veltin", "velvet grass pollen extract", "vemurafenib", "venastat", "venelex", "veneno de abeja aceite de vibora", "venison allergenic extract", "venlafaxine", "venlafaxine hydrochloride", "venofer", "ventavis", "ventipulmin", "ventolin", "ventuss", "venus white", "veracolate", "veraflox", "veralipride", "veramyst", "verapamil", "verapamil hydrochloride", "veratrum album preparation", "veratrum album root extract", "veratrum album whole extract", "veratrum nigrum flowering top extract", "veratrum viride preparation", "veratrum viride root extract", "verbascum densiflorum flower extract", "verbascum densiflorum flowering top extract", "verbascum densiflorum leaf extract", "verbascum densiflorum whole extract", "verbascum phlomoides flower extract", "verbascum thapsus extract", "verbascum thapsus leaf extract", "verbena extract", "verbena hastata top extract", "verbena officinalis extract", "verbena officinalis flowering top extract", "verdeso", "verdrocet", "veregen", "verelan", "veripred", "vermocks", "vermox", "vernicia fordii seed oil", "vernonia appendiculata leaf extract", "veronica officinalis flowering top extract", "veronicastrum virginicum root extract", "verrustat", "versacloz", "versetamide", "versiclear", "verteporfin", "verticalm", "verticillium albo-atrum extract", "vesicare", "vespa crabro preparation", "vestura 28 day pack", "vet one", "veta-k1", "vetadryl", "vetaket", "vetameg", "vetasan", "veteran shield 24", "veti-foam", "vetiver oil", "vetiveria zizanioides root extract", "vetmedin", "vetoryl", "vetprofen", "vetribute", "vetrimec", "vetrimec plus", "vetromax", "vetropolycin", "vetropolycin hc", "vetscription anti-itch", "vetscription hairball relief", "vetscription sure shot liquid wormer", "vetscription worm away", "vetscription worm away 7", "vetstarch", "vetsulin", "vexa", "vexol", "vfend", "vi-sudo", "viactiv calcium plus d", "viadur", "viagra", "vibativ", "viberzi", "vibramycin", "vibrio cholerae", "vibrio cholerae serotype inaba", "vibrio cholerae serotype inaba / vibrio cholerae serotype ogawa", "vibrio cholerae serotype ogawa", "viburnum opulus root", "viburnum prunifolium bark extract", "viceton", "vicks 44 cold & cough liquicaps", "vicks 44 cough relief", "vicks 44d cough & head congestion", "vicks 44d pediatric", "vicks 44e", "vicks formula 44 custom care chesty cough", "vicks nature fusion cough and chest congestion", "vicks vapodrops", "vicks vaporub", "vicks vaposteam", "vicks vitamin c drops", "vicodin", "vicodin tuss", "vicoprofen", "victoza", "victrelis", "vidarabine", "vidaza", "videx", "videx ec", "viekira pak", "vienva 28 day kit", "vigabatrin", "vigamox", "vigna radiata extract", "viibryd", "viibryd 10/20/40 30 day pack", "viibryd starter pack 10/20 30 day pack", "vilanterol", "vilanterol trifenatate", "vilazodone", "vilazodone hydrochloride", "vildagliptin", "viloxazine", "viloxazine hydrochloride", "vimizim", "vimovo", "vimpat", "vimpat 2 week starter kit", "vinbarbital", "vinBLAStine", "vinBLAStine Sulfate", "vinburnine", "vinca minor extract", "vincamine", "vincasar", "vinCRIStine", "vinCRIStine liposome", "vinCRIStine Sulfate", "vinCRIStine sulfate liposome", "vindesine", "vindesine sulfate", "vinorelbine", "vinorelbine tartrate", "vinpocetine", "vinyl acetate", "vinylpyrrolidone-eicosene copolymer", "vinylpyrrolidone-hexadecene copolymer", "viokace", "viola odorata extract", "viola odorata flowering top extract", "viola odorata leaf extract", "viola tricolor extract", "vionex", "viorele 28 day pack", "vioxx", "vipera berus venom", "viquidil", "viquidil hcl", "viracept", "viractin", "viramune", "virasal", "virazole", "viread", "virginiamycin", "virola sebifera resin extract", "viroptic", "virormone injection", "viroxyn", "visco-gel", "viscoat", "viscum album fruit extract", "viscum album fruiting top extract", "viscum album leaf extract", "viscum album preparation", "viscum album whole extract", "visicol", "visine", "visine ac", "visine advanced relief", "visine l.r.", "visine maximum redness relief", "visine pure tears", "visine tired eye relief", "visine totality", "visine-a", "visken", "vismodegib", "vistacot", "vistaril", "vistide", "visudyne", "vita #12", "vita numonyl", "vita-respa", "vitacilina", "vitacilina diaper rash", "vitafol-one", "vital e- 500", "vital e- a + d3", "vital e- newborn", "vital e- repro", "vital-benz", "vital-chlor", "vital-ketodine", "vitamin a", "vitamin a / vitamin d", "vitamin a / vitamin e", "vitamin b 12", "vitamin b 12 / vitamin b6", "vitamin b complex", "vitamin b6", "vitamin b6 / zinc gluconate", "vitamin b6 / zinc picolinate", "vitamin c tr", "vitamin d", "vitamin d3", "vitamin e", "vitamin e / zinc citrate", "vitamin e d-alpha", "vitamin e dl-alpha", "vitamin k", "vitamin k 1", "vitamin k 2", "vitamin k 3", "vitamine e acetate", "vitapap", "vitapirena", "vite20", "vitekta", "vitex agnus-castus whole extract", "vitex trifolia fruit extract", "vitis extract", "vitis vinifera anthocyanins extract", "vitis vinifera flowering top extract", "vitis vinifera fruit oil", "vitis vinifera leaf extract", "vitis vinifera seed extract", "vitis vinifera whole extract", "vitrase", "vitrasert", "vitrax", "vitron-c", "vituz", "viva-drops lubricating eye drops", "vivacaine", "vivactil", "vivaglobin", "vivarin", "vivelle", "vivitrol", "vivlodex", "vivotif", "voacanga africana seed extract", "vogelxo", "voltaren", "voltarol", "voluven", "von willebrand factor", "von willebrand factor, human", "vorapaxar", "vorapaxar sulfate", "voraxaze", "voriconazole", "vorinostat", "vortex toothpaste", "vortioxetine", "vortioxetine hydrobromide", "vosol", "vosol hc", "vospire", "votrient", "vpriv", "vraylar", "vusion", "vyfemla 28 day pack", "vytone", "vytorin", "vyvanse", "wal zyr 24 hour allergy", "wal zyr d", "wal-act", "wal-dram", "wal-dram 2", "wal-dryl", "wal-dryl allergy", "wal-dryl childrens", "wal-dryl pe", "wal-dryl-d", "wal-fex", "wal-fex d", "wal-finate", "wal-finate-d", "wal-flu severe cold", "wal-four", "wal-hist 12 hr relief", "wal-itin", "wal-itin d", "wal-mucil", "wal-phed", "wal-phed pe", "wal-phed pe non-drying sinus", "wal-phed pe sinus & allergy", "wal-phed sinus & allergy", "wal-profen", "wal-profen cold and sinus", "wal-proxen", "wal-sleep z", "wal-som", "wal-som maximum strength", "wal-tap children's cold & allergy", "wal-tussin chest congestion", "wal-tussin children's cough relief", "wal-tussin cough", "wal-tussin cough & cold", "wal-tussin dm", "wal-tussin dm max", "wal-zan", "wal-zyr", "wal-zyr itchy eye", "walnut allergenic extract", "walnut oil", "waltheria indica leaf extract", "warfarin", "warfarin potassium", "warfarin sodium", "wart-off treatment", "wartrol", "wasabi preparation", "wasabi root extract", "wasp venom protein", "wasp venoms", "water", "water birch pollen extract", "water oak pollen extract", "water, o-15", "water, o-18", "watercress allergenic extract", "watercress preparation", "watermelon allergenic extract", "watermelon preparation", "watermelon seed extract", "weakleaf bur ragweed pollen extract", "welchol", "wellbutrin", "wellpatch", "wellpatch backache relief", "welmedix homecare pro", "welmedix homecare pro 2-in-1", "welmedix homecare pro fragile skin", "wera 28-day pack", "west dip", "west indian lemongrass oil", "west nile virus", "westcort", "western black willow pollen extract", "western juniper pollen extract", "western ragweed pollen extract", "western sycamore pollen extract", "western waterhemp pollen extract", "western wheatgrass pollen extract", "western white pine pollen extract", "western yellowjacket venom protein", "westhroid", "wheat bran allergenic extract", "wheat bran extract", "wheat dextrin", "wheat germ oil", "wheat germ preparation", "wheat gluten extract", "wheat loose smut extract", "wheat middlings extract", "wheat pollen extract", "wheat preparation", "wheat rust extract", "wheat smut allergenic extract", "wheat sprout extract", "wheat stem rust extract", "whiskcare 377", "white (mexican) dock pollen extract", "white alder pollen extract", "white ash pollen extract", "white bryony extract", "white catfish allergenic extract", "white fish allergenic extract", "white hickory pollen extract", "white kidney bean allergenic extract", "white kidney bean extract", "white mulberry extract", "white mulberry pollen extract", "white mustard seed extract", "white oak bark extract", "white oak pollen extract", "white pepper allergenic extract", "white pepper oil", "white pine oil", "white poplar pollen extract", "white poplar whole extract", "white rice extract", "white seedless grape allergenic extract", "white spirit type 1", "white sweet clover pollen extract", "white sweet clover pollen extract / yellow sweet clover pollen extract", "white tea extract", "white wax", "white willow pollen extract", "white-rot fungus extract", "white-tailed deer hair extract", "whole care", "whole care gel", "whole eriodictyon californicum extract", "whole melia azederach extract", "whole wheat allergenic extract", "whortleberry substance", "wilate", "wild oat whole extract", "wild yam extract", "wine grape allergenic extract", "wine grape extract", "wine grape juice", "wing scale pollen extract", "winged elm whole extract", "winrho sdf", "winterfat pollen extract", "witch hazel", "witch hazel / zinc oxide", "withania somnifera flower extract", "withania somnifera leaf extract", "withania somnifera root extract", "womens tylenol menstrual relief", "wood ant preparation", "wood tar hydrocarbon distillate", "worm protector 2x", "wormwood extract", "wormwood oil", "wormwood sage pollen extract", "wp thyroid", "wyethia helenioides root extract", "wymzya fe 0.4 mg/35 mcg chewable 28 day pack", "x-seb t pearl", "x-seb t plus", "x-viate", "xalatan", "xalkori", "xamoterol", "xamoterol fumarate", "xanax", "xanthan gum", "xanthine", "xanthinol", "xanthinol niacinate", "xanthium extract", "xanthium strumarium fruit extract", "xarelto", "xarelto 30-day starter pack kit", "xartemis", "xebcort", "xedec", "xeljanz", "xeloda", "xenaderm", "xenazine", "xenical", "xenon", "xenon-133", "xeomin", "xerac ac", "xerese", "xerophyllum asphodeloides extract", "xgeva", "xiaflex", "xibornol", "xifaxan", "xigduo", "ximino", "xipamide", "xl-dol", "xodol", "xofigo", "xolair", "xolegel", "xolegel corepak", "xolegel duo kit", "xolegel duo reformulated oct 2008", "xolex", "xolido", "xolox", "xopenex", "xoten", "xoten-c", "xpect", "xpect pe", "xtandi", "xtoro", "xulane", "xuriden", "xylamed", "xylazine", "xylazine hydrochloride", "xylene", "xylenesulfonate", "xylishield", "xylitan", "xylitol", "xylitylglucoside", "xylocaine", "Xylocaine with EPINEPHrine", "xylocard", "xylometazoline", "xylometazoline hydrochloride", "xylon", "xylose", "xyntha", "xyrem", "xyzal", "yarrow flower extract", "yasmin 28 day pack", "yaz 28 day pack", "yeast mannan preparation", "yeasts", "yellow birch pollen extract", "yellow dock pollen extract", "yellow fever vaccine", "yellow hornet venom", "yellow hornet venom protein", "yellow jacket ven protein", "yellow phenolphthalein", "yellow pine pollen extract", "yellow sweet clover pollen extract", "yellow-fever virus", "yellow-fever virus vaccine, 17d-204 strain", "yellowjacket venom protein", "yersinia enterocolitica", "yersinia pestis", "yervoy", "yes to tomatoes", "yf-vax", "yinchiao fast relief flu", "yobine", "yocon", "yodoxin", "yohimbe bark preparation", "yohimbine", "yohimbine / zinc sulfate", "yohimbine hydrochloride", "yondelis", "youngevity invision cm cream", "ytterbium", "ytterbium oxide", "yttrium", "yttrium bromide", "yttrium fluoride", "yttrium iodide", "yucca extract", "yucca filamentosa extract", "yucca glauca root extract", "yucca root", "yucca schidigera extract", "yucca schidigera root extract", "z tuss ac", "z-cof", "z-cof hc", "z-cof hcx", "z-pak", "z-pram", "z-sleep", "z-tuss e", "zacare 4/0.2 kit", "zacare 8/0.2 kit", "zaclir", "zactran", "zaditor", "zafirlukast", "zalcitabine", "zaleplon", "zaltrap", "zamicet", "zanaflex", "zanamivir", "zanosar", "zantac", "zanthoxylum americanum bark extract", "zanthoxylum armatum var. armatum fruit extract", "zanthoxylum bungeanum fruit extract", "zanthoxylum bungeanum fruit rind extract", "zanthoxylum bungeanum whole extract", "zanthoxylum nitidum root extract", "zanthoxylum piperitum fruit pulp extract", "zanthoxylum piperitum fruit rind extract", "zanthoxylum piperitum whole extract", "zanthoxylum schinifolium whole extract", "zanthoxylum zanthoxyloides bark extract", "zapzyt acne wash", "zarah 28-day pack", "zarontin", "zaroxolyn", "zarxio", "zavesca", "zazole", "zcaine", "zea mays subsp. mays whole extract", "zeasorb", "zeasorb-af", "zeatin", "zeaxanthin", "zebeta", "zebutal", "zecuity", "zee-seltzer antacid and pain reliever", "zegerid reformulated aug 2006", "zegerid with magnesium hydroxide", "zein", "zelapar", "zelboraf", "zemaira", "zemplar", "zemuron", "zenatane", "zenchent 28 day pack", "zenchent fe chewable 28 day pack", "zencia wash", "zeniquin", "zenpep", "zentrip", "zenzedi", "zeosa 28 day pack", "zephiran", "zephrex-d", "zeranol", "zerbaxa", "zerit", "zestoretic", "zestril", "zetamine", "zetia", "zetonna", "zflex", "zgesic", "ziac", "ziagen", "ziana", "zicam cough", "zicam cough plus d", "zicam sinus relief", "ziconotide", "ziconotide acetate", "zidovudine", "ziks pain relief", "zilactin b", "zilactin cold sore", "zilactin-l", "zilactin-l cold sore liquid", "zileuton", "zimecterin", "zimecterin gold", "zinacef", "zinc", "zinc acetate", "zinc acetylmethionate", "zinc ascorbate", "zinc aspartate", "zinc bromide", "zinc carbonate", "zinc cation", "zinc chloride", "zinc citrate", "zinc citrate trihydrate", "zinc dibutyldithiocarbamate", "zinc gluconate", "zinc gluconate trihydrate", "zinc glycinate", "zinc glycinate citrate", "zinc hydroxide", "zinc lactate", "zinc laurate", "zinc methionine", "zinc methionine sulfate", "zinc myristate", "zinc nicotinate", "zinc orotate", "zinc oxide", "zinc palmitate", "zinc peroxide", "zinc phenolsulfonate", "zinc phosphate", "zinc phosphate tetrahydrate", "zinc phosphide", "zinc picolinate", "zinc picrate", "zinc picrate nonahydrate", "zinc pidolate", "zinc pyrithione", "zinc ricinoleate", "zinc stearate", "zinc sulfate", "zinc sulfate anhydrous", "zinc sulfate monohydrate", "zinc sulfate, heptahydrate", "zinc undecylenate", "zinc valerate", "zinc valerate dihydrate", "zinc, chelated", "zinc-dtpa", "zincon", "zinecard", "zingiber cassumunar root extract", "zingiber cassumunar root oil", "zingiber moutanum flowering top extract", "zingiber officinale whole extract", "zingo", "zinotic", "zinotic es", "zioptan", "ziox", "zipeprol", "ziprasidone", "ziprasidone hydrochloride", "ziprasidone hydrochloride anhydrous", "ziprasidone hydrochloride, monohydrate", "ziprasidone mesylate", "zipsor", "zirconium", "zirconium oxide", "zirgan", "zit stick", "zithranol", "zithranol-rr", "zithromax", "ziv-aflibercept", "zizia aurea root extract", "ziziphus extract", "zmax", "zobuxa", "zocor", "zoderm 6.5", "zodryl ac", "zodryl dac", "zodryl dec", "zofenopril", "zofenopril calcium", "zofran", "zohydro", "zoladex", "zolazepam", "zoledronic acid", "zoledronic acid anhydrous", "zolinza", "ZOLMitriptan", "zoloft", "zolpidem", "zolpidem tartrate", "zolpimist", "zomacton", "zomepirac", "zomepirac sodium", "zometa", "zomig", "zonalon", "zonatuss", "zonegran", "zonisamide", "zontivity", "zooby fluoride foam", "zopiclone", "zorbtive", "zorcaine", "zortress", "zorvolex", "zostavax", "zostrix", "zostrix cold therapy", "zostrix diabetic joint & arthritis pain relief", "zostrix sports", "zosyn", "zotepine", "zotex c", "zotex dmx", "zotex gpx", "zotex hc", "zotex pe", "zotex-d", "zovia 1/35e 28 day pack", "zovia 1/50e 28 day pack", "zovirax", "zubsolv", "zucchini extract", "zuclopenthixol", "zuclopenthixol acetate", "zuclopenthixol decanoate", "zuclopenthixol dihydrochloride", "zuplenz", "zuprevo", "zutripro", "zyban", "zyclara", "zydaclin", "zydelig", "zydone", "zyflo", "zykadia", "zylet", "zyloprim", "zymaxid", "zymine", "zymine d", "zymine dxr", "zymine xr", "zypram", "ZyPREXA", "ZyrTEC", "ZyrTEC Itchy Eye", "ZyrTEC-D", "zytiga", "zyvox", "zzip", "zzz sleep", "zzzquil", "zzztime", "[13c] urea", "{ 1 (15 ml) (salicylic acid 2 % topical gel [kleer plex]) / 1 (30 ml) (salicylic acid 2 % topical gel [kleer plex]) / 1 (118 ml) (salicylic acid 2 % medicated liquid soap [kleer plex]) } pack [kleer plex acne care kit]", "{1 ((12 fl oz apap 325 mg / dextromethorphan hydrobromide 10 mg / phenylephrine hydrochloride 5 mg) per 15 ml oral solution) / 1 ((12 fl oz apap 500 mg / dextromethorphan hydrobromide 15 mg / doxylamine succinate 6.25 mg) per 15 ml oral solution) } pack", "{1 (0.1 oz.) (benzoyl peroxide 5 % topical gel [clear proof acne treatment]) / 1 (1 oz.) (salicylic acid 2 % medicated liquid soap [clear proof acne medication]) / 1 (0.9 fl. oz.) (salicylic acid 2 % topical solution [clear proof acne medication]) } pack [clear proof acne to-go system]", "{1 (0.18 oz) (benzocaine 7.5 % oral gel [orajel]) / 1 (0.18 oz) (benzocaine 10 % oral gel [orajel]) } pack [orajel daytime and nighttime formula]", "{1 (0.25 fl oz) (salicylic acid 2 % topical gel) / 1 (3 fl oz) (salicylic acid 1 % medicated liquid soap) / 1 (0.5 fl oz) (salicylic acid 1 % topical cream) / 30 (salicylic acid 0.5 % medicated pad) } pack", "{1 (0.32 oz) (miconazole nitrate 2 % vaginal cream [monistat]) / 3 (miconazole nitrate 200 mg vaginal suppository [monistat]) } pack [monistat 3 day ovule combination pack]", "{1 (0.45 fl oz) (benzoyl peroxide 10 % topical cream [clearasil ultra rapid action treatment]) / 1 (6.78 fl oz) (salicylic acid 2 % face wash [clearasil ultra rapid action]) / 90 (salicylic acid 2 % medicated pad [clearasil ultra rapid action]) } pack [clearasil ultra rapid action clear skin]", "{1 (1 oz) (benzoyl peroxide 2.5 % topical gel [clean and clear advantage acne control benzoyl peroxide treatment]) / 1 (4 oz) (benzoyl peroxide 5 % medicated liquid soap [clean and clear advantage acne control benzoyl peroxide cleanser]) } pack", "{1 (1 oz.) (benzoyl peroxide 5 % topical gel [clear proof acne treatment]) / 1 (4.5 oz.) (salicylic acid 2 % medicated liquid soap [clear proof acne medication]) / 1 (5 fl. oz.) (salicylic acid 2 % topical solution [clear proof acne medication]) } pack [clear proof acne system]", "{1 (1.5 oz)(colloidal oatmeal 1 % topical cream [neosporin moisturizing]) / 1 (0.3 oz) (hydrocortisone 1 % topical cream [neosporin eczema]) } pack [neosporin essentials trial pack]", "{1 (1.8 oz) (halobetasol propionate 0.05 % topical ointment) / 1 (8 oz) (lactic acid 10 % topical cream) } pack [ultravate x ointment]", "{1 (10 fl oz apap 325 mg / dextromethorphan hydrobromide 10 mg / phenylephrine hydrochloride 5 mg per 15 ml oral solution) / 1 (10 fl oz apap 500 mg / dextromethorphan hydrobromide 15 mg / doxylamine succinate 6.25 mg per 15 ml oral solution) } pack", "{1 (118 ml benzethonium chloride 0.13 % medicated liquid soap) / 1 (92000 mg zinc oxide 30.6 % topical cream) } pack", "{1 (118 ml) (benzoyl peroxide 2.5 % medicated liquid soap) / 1 (118 ml) (benzoyl peroxide 2.5 % topical lotion) } pack", "{1 (118 ml) (dimethicone 2 % topical cream) / 1 (80 gm) (triamcinolone acetonide 0.1 % topical cream) } pack", "{1 (12 fl oz) (acetaminophen 21.7 mg/ml / dextromethorphan hydrobromide 0.667 mg/ml / phenylephrine hydrochloride 0.333 mg/ml oral solution) / 1 (12 fl oz) (acetaminophen 21.7 mg/ml / dextromethorphan hydrobromide 1 mg/ml / doxylamine succinate 0.417 mg/ml oral solution) } pack", "{1 (12 OZ) (acetaminophen 650 MG / dextromethorphan HBr 20 MG / doxylamine succinate 12.5 MG / phenylephrine HCl 10 MG per 30 ML Oral Solution) / 1 (12 OZ) (acetaminophen 325 MG / dextromethorphan HBr 10 MG / guaiFENesin 200 MG / phenylephrine HCl 5 MG per 15 ML Oral Solution)} Pack", "{1 (120 ml urea 10 % medicated shampoo) / 1 (85 ml sulfacetamide 10 % topical lotion) } pack", "{1 (120 ml) (benzoyl peroxide 2.5 % medicated liquid soap) / 1 (60 ml) (benzoyl peroxide 2.5 % topical lotion) } pack", "{1 (150 ml salicylic acid 2 % medicated liquid soap) / 1 (30 ml benzoyl peroxide 5 % topical lotion) } pack", "{1 (16 oz magnesium sulfate 1.6 gm / potassium sulfate 3.13 gm / sodium sulfate 17.5 gm oral solution) / 1 (peg-3350 210 gm / potassium chloride 0.74 gm / sodium bicarbonate 2.86 gm / sodium chloride 5.6 gm powder for 2 liter oral solution)} pack", "{1 (160 ml salicylic acid 6 % medicated shampoo) / 1 (60000 mg salicylic acid 6 % topical gel) } pack", "{1 (18 ml urea 400 mg/ml topical cream) / 1 (30 gm sodium hyaluronate 0.002 mg/mg topical gel) } pack", "{1 (180 gm benzoyl peroxide 7 % medicated liquid soap) / 7 (0.5 gm benzoyl peroxide 5.5 % prefilled applicator) } pack", "{1 (22.5 ml povidone-iodine 10 % topical solution) / 1 (povidone-iodine 10 % medicated pad) } pack", "{1 (225 ml ammonium lactate 12 % topical lotion) / 1 (50 ml halobetasol propionate 0.05 % topical cream) } pack", "{1 (225 ml ammonium lactate 12 % topical lotion) / 1 (50 ml halobetasol propionate 0.05 % topical ointment) } pack [halac]", "{1 (236 ml benzethonium chloride 0.13 % medicated liquid soap) / 1 (72000 mg petrolatum 98.78 % topical ointment) } pack", "{1 (236 ml benzethonium chloride 0.13 % medicated liquid soap) / 1 (78000 mg zinc oxide 10 % topical cream) } pack", "{1 (240 ml) (benzoyl peroxide 2.5 % medicated liquid soap) / 1 (120 ml) (salicylic acid 2 % topical solution) / 1 (60 ml) (sulfur 5 % topical solution) } pack", "{1 (28300 mg) (capsaicin 0.025 % topical cream [zostrix]) / 1 (28300 mg) (menthol 4 % topical cream [zostrix cold therapy]) } pack [zostrix hot and cold therapy system]", "{1 (30 gm hydrocortisone 2.5 % / pramoxine hydrochloride 1 % rectal cream) / 6 (pramoxine hydrochloride 1 % medicated pad) } pack", "{1 (40 ml) (benzoyl peroxide 2.5 % topical lotion [neutrogena acne control]) / 1 (150 ml) (salicylic acid 0.5 % medicated liquid soap [neutrogena advance solutions]) } pack [neutrogena complete acne therapy system]", "{1 (50 gm) (halobetasol propionate 0.05 % topical cream) / 1 (8 oz) (lactic acid 10 % topical cream) } pack [ultravate x cream]", "{1 (6 oz. benzoyl peroxide 8 % medicated liquid soap) / 2 (0.75 oz. benzoyl peroxide 5 % medicated bar soap) } pack", "{1 (60 ml) (benzalkonium chloride 0.1 % topical solution [pronto plus lice egg remover]) / 1 (60 ml) (piperonyl butoxide 4 % / pyrethrins 0.33 % medicated shampoo [pronto plus]) } pack [pronto plus complete lice remover system]", "{1 (70 gm salicylic acid 6 % topical foam) / 1 (70 gm urea 40 % topical foam) } pack", "{1 (9000 mg) (miconazole nitrate 2 % topical cream) / 1 (35000 mg) (miconazole nitrate 2 % vaginal cream) } pack [monistat 7 vaginal cream combination pack]", "{1 (miconazole nitrate 1200 mg vaginal suppository [monistat]) / 1 (0.32 oz) (miconazole nitrate 2 % vaginal cream [monistat]) } pack [monistat 1 day ovule combination pack]", "{10 vials 20 ml (ifosfamide 50 mg/ml injectable solution) / 10 vials 10 ml (mesna 20 mg/ml (concentrate 100 mg/ml) injectable solution) } kit", "{14 (24 hr naproxen 500 mg (naproxen sodium 550 mg) extended release oral tablet) / 6 (24 hr naproxen 750 mg (naproxen sodium 825 mg) extended release oral tablet) } pack", "{14 (nicotine 7 mg per 24hr 1 day transdermal patch) / 14 (nicotine 14 mg per 24hr 1 day transdermal patch) / 28 (nicotine 21 mg per 24hr 1 day transdermal patch) } pack", "{2 (16 oz magnesium sulfate 1.6 gm / potassium sulfate 3.13 gm / sodium sulfate 17.5 gm oral solution) } pack [suprep bowel prep kit]", "{2 vials 60 ml (ifosfamide 50 mg/ml injectable solution) / 6 vials 10 ml (mesna 20 mg/ml (concentrate 100 mg/ml) injectable solution) } kit", "{21 (ethinyl estradiol 35 mcg / norethindrone 0.4 mg chewable tablet) / 7 (ferrous fumarate 75 mg chewable tablet) } pack", "{24 (ethinyl estradiol 10 mcg / norethindrone acetate 1 mg oral tablet) / 2 (ethinyl estradiol 10 mcg oral tablet) / 2 (ferrous fumarate 75 mg oral tablet)} 28 day pack", "{3 (5 gm miconazole nitrate 200 mg (4 % ) prefilled applicator) / 1 (9 gm miconazole nitrate 2 % vaginal cream) } pack", "{30 (4 gm hydrocortisone 2.5 % / pramoxine hydrochloride 1 % rectal cream) / 18 (pramoxine hydrochloride 1 % medicated pad) } pack", "{30 (prazosin (as prazosin hydrochloride) 5 mg oral capsule) } pack", "{5 vials 20 ml (ifosfamide 50 mg/ml injectable solution) / 3 vials 10 ml (mesna 20 mg/ml (concentrate 100 mg/ml) injectable solution) } kit", "{7 (14 ml) (salicylic acid 2 % topical gel [neutrogena rapid clear gel]) / 1 (29 ml) (salicylic acid 2 % medicated liquid soap [neutrogena rapid clear scrub]) } pack [neutrogena rapid clear 7-day]", "{7 (miconazole nitrate 100 mg vaginal suppository [monistat]) / 1 (0.32 oz) (miconazole nitrate 2 % vaginal cream [monistat]) } pack [monistat 7 combination pack]"] lengthOfTerm = len(question) question = input("what medicine would you like to find?") List[lengthOfTerm:] # items start through end-1 List[start:] # items start through the rest of the array a[:end] # items from the beginning through end-1 a[:]	82,308.875	658,214	0.757544	68,865	658,471	7.243462	0.220097	0.008877	0.003194	0.002706	0.143807	0.116669	0.099563	0.087591	0.079317	0.073427	0	0.015356	0.109654	658,471	8	658,215	82,308.875	0.835486	0.000161	0	0	38.428571	0.853439	0.01871	0	0	0	0	0	1	0	false	0.142857	0.142857	0	0.142857	0.142857	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	1	1	0	0	0	0	1	1	0	null	0	0	0	0	0	0	1	0	0	0	0	6
2cbcb87dff03fc95a45d101dddeba6378893a54c	247	py	Python	dp_conceptual_search/ons/search/__init__.py	flaxandteal/dp-conceptual-search	16c6383a61ba5b7069337c2626a0dc243bfe9d35	[ "MIT" ]	3	2018-05-10T16:49:27.000Z	2022-03-29T15:23:04.000Z	dp_conceptual_search/ons/search/__init__.py	flaxandteal/dp-conceptual-search	16c6383a61ba5b7069337c2626a0dc243bfe9d35	[ "MIT" ]	2	2018-09-20T06:37:27.000Z	2018-11-12T12:05:08.000Z	dp_conceptual_search/ons/search/__init__.py	flaxandteal/dp-conceptual-search	16c6383a61ba5b7069337c2626a0dc243bfe9d35	[ "MIT" ]	3	2018-06-25T10:48:43.000Z	2021-04-11T08:01:27.000Z	from dp_conceptual_search.ons.search.sort_fields import SortField from dp_conceptual_search.ons.search.type_filter import AvailableTypeFilters, TypeFilter from dp_conceptual_search.ons.search.content_type import ContentType, AvailableContentTypes	61.75	91	0.898785	32	247	6.65625	0.5	0.084507	0.225352	0.309859	0.43662	0.43662	0	0	0	0	0	0	0.05668	247	3	92	82.333333	0.914163	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
390bca068dc067566eb6a47f60d040d782362b02	18,358	py	Python	qm3/actions/genetic.py	SinHouse/qm3	b2436ad813dd13c0c14bdee5d95f30436bc0a04d	[ "MIT" ]	13	2020-12-19T02:37:39.000Z	2022-02-09T11:26:38.000Z	qm3/actions/genetic.py	zhenglz/qm3	356a26baf990391597bd75b971a95952e52fb977	[ "MIT" ]	2	2021-01-07T02:53:27.000Z	2021-07-02T17:58:42.000Z	qm3/actions/genetic.py	zhenglz/qm3	356a26baf990391597bd75b971a95952e52fb977	[ "MIT" ]	3	2020-12-20T11:30:52.000Z	2021-07-12T02:51:44.000Z	# -- coding: iso-8859-1 -- from __future__ import print_function, division import sys if( sys.version_info[0] == 2 ): range = xrange import math import qm3.maths.rand import qm3.utils.queue import threading try: import cPickle as pickle except: import pickle def default_log( txt ): sys.stdout.write( txt + "\n" ) sys.stdout.flush() """ the larger the population, the better the performance (but the longer the calculation...) a value of: population = 5 * size would be ideal whether it is affordable... diffevo [differential_evolution] is the standard (serialized) implementation, and works (pretty) well for large population_sizes. During the 'intercourses', the improved new generations are incorporated to the 'active' population... (allowing mixing). mpi_diffevo is a MPI version, in which the global population is splitted into mpi_ncpu groups, and at each generation, the best of each 'village' are compared to choose the global best one... ('intercourses' are 'local' with no interaction among 'villages'). smp_diffevo is a SMP implementation, which allows parallel evaluation of the new genetarions... build slots of ncpu trials, and evaluate them using threading.Thread/qm3.utils.Queque, best trials and parents are swapped each size//ncpu chunks. """ def differential_evolution( obj, boundaries, step_number = 200, print_frequency = 10, step_tolerance = 1.0e-6, population_size = 10, mutation_factor = 0.8, crossover_probability = 0.75, checkpointing = True, log_function = default_log ): # ------------------------------------------------------------------------- # the larger the population, the better the performance (but the larger the calculation...) population_size = max( population_size, obj.size * 2 ) mutation_factor = min( max( mutation_factor, 0.1 ), 1.0 ) crossover_probability = min( max( crossover_probability, 0.1 ), 1.0 ) # ------------------------------------------------------------------------- log_function( "---------------------------------------- Genetic Minimization (DE: rand/1+bin)\n" ) log_function( "Degrees of Freedom: %20ld"%( obj.size ) ) log_function( "Step Number: %20d"%( step_number ) ) log_function( "Print Frequency: %20d"%( print_frequency ) ) log_function( "Step Tolerance: %20.10lg\n"%( step_tolerance ) ) log_function( "Population: %20d"%( population_size ) ) log_function( "Mutation Factor: %20.10lg"%( mutation_factor ) ) log_function( "Crossover Prob.: %20.10lg\n"%( crossover_probability ) ) log_function( "%10s%30s"%( "Step", "Function" ) ) log_function( "-" * 40 ) minc = [] disp = [] for i in range( obj.size ): minc.append( min( boundaries[i] ) ) disp.append( math.fabs( boundaries[i][1] - boundaries[i][0] ) ) coor = [] func = [] for i in range( population_size ): coor.append( [] ) for j in range( obj.size ): coor[-1].append( qm3.maths.rand.random() ) obj.coor = [ minc[j] + disp[j] * coor[-1][j] for j in range( obj.size ) ] obj.get_func() func.append( obj.func ) ok_fun = min( func ) ok_crd = coor[func.index( ok_fun )][:] ok_stp = 2.0 * step_tolerance log_function( "%10s%30.10lf"%( "", ok_fun ) ) it = 0 ff = ok_fun while( it < step_number and ok_stp > step_tolerance ): for i in range( population_size ): # ------------------------------------------------------------------------- # rand/1 + binomial a, b, c = qm3.maths.rand.sample( [ j for j in range( population_size ) if j != i ], 3 ) trial = [] for j in range( obj.size ): if( qm3.maths.rand.random() < crossover_probability ): trial.append( min( max( coor[a][j] + mutation_factor * ( coor[b][j] - coor[c][j] ), 0.0 ), 1.0 ) ) else: trial.append( coor[i][j] ) # ------------------------------------------------------------------------- obj.coor = [ minc[j] + disp[j] * trial[j] for j in range( obj.size ) ] obj.get_func() if( obj.func < func[i] ): func[i] = obj.func coor[i] = trial[:] if( obj.func < ok_fun ): ok_stp = math.sqrt( sum( [ math.pow( ok_crd[j] - trial[j], 2.0 ) for j in range( obj.size ) ] ) / float( obj.size ) ) ok_fun = obj.func ok_crd = trial[:] if( ff > ok_fun ): ff = ok_fun it += 1 if( it % print_frequency == 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) if( checkpointing ): fd = open( "diffevo.chk", "wb" ) pickle.dump( [ minc[j] + disp[j] * ok_crd[j] for j in range( obj.size ) ], fd ) fd.close() obj.current_step( it ) if( it % print_frequency != 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) log_function( "-" * 40 ) obj.coor = [ minc[j] + disp[j] * ok_crd[j] for j in range( obj.size ) ] obj.func = ok_fun diffevo = differential_evolution try: import qm3.utils._mpi def mpi_diffevo( obj, boundaries, mpi_node, mpi_ncpu, step_number = 200, print_frequency = 10, step_tolerance = 1.0e-6, population_size = 10, mutation_factor = 0.8, crossover_probability = 0.75, checkpointing = True, log_function = default_log ): # ------------------------------------------------------------------------- mutation_factor = min( max( mutation_factor, 0.1 ), 1.0 ) crossover_probability = min( max( crossover_probability, 0.1 ), 1.0 ) # ------------------------------------------------------------------------- if( mpi_node == 0 ): log_function( "---------------------------------------- Genetic Minimization (MPI/DE: rand-to-best/1+bin)\n" ) log_function( "Degrees of Freedom: %20ld"%( obj.size ) ) log_function( "Step Number: %20d"%( step_number ) ) log_function( "Print Frequency: %20d"%( print_frequency ) ) log_function( "Step Tolerance: %20.10lg\n"%( step_tolerance ) ) log_function( "MPI Population: %20s"%( "%d x %d"%( population_size, mpi_ncpu ) ) ) log_function( "Mutation Factor: %20.10lg"%( mutation_factor ) ) log_function( "Crossover Prob.: %20.10lg\n"%( crossover_probability ) ) log_function( "%10s%30s"%( "Step", "Function" ) ) log_function( "-" * 40 ) minc = [] disp = [] for i in range( obj.size ): minc.append( min( boundaries[i] ) ) disp.append( math.fabs( boundaries[i][1] - boundaries[i][0] ) ) coor = [] func = [] for i in range( population_size ): coor.append( [] ) for j in range( obj.size ): coor[-1].append( qm3.maths.rand.random() ) obj.coor = [ minc[j] + disp[j] * coor[-1][j] for j in range( obj.size ) ] obj.get_func() func.append( obj.func ) ok_fun = min( func ) ok_crd = coor[func.index( ok_fun )][:] ok_stp = 2.0 * step_tolerance # sync ---------------------------------------------------------------- if( mpi_ncpu > 1 ): qm3.utils._mpi.barrier() if( mpi_node == 0 ): FUNC = [ ok_fun ] COOR = [ ok_crd[:] ] for i in range( 1, mpi_ncpu ): FUNC += qm3.utils._mpi.recv_r8( i, 1 ) COOR.append( qm3.utils._mpi.recv_r8( i, obj.size ) ) ok_fun = min( FUNC ) ok_crd = COOR[FUNC.index( ok_fun )][:] for i in range( 1, mpi_ncpu ): qm3.utils._mpi.send_r8( i, [ ok_fun ] ) qm3.utils._mpi.send_r8( i, ok_crd ) else: qm3.utils._mpi.send_r8( 0, [ ok_fun ] ) qm3.utils._mpi.send_r8( 0, ok_crd ) ok_fun = qm3.utils._mpi.recv_r8( 0, 1 )[0] ok_crd = qm3.utils._mpi.recv_r8( 0, obj.size ) # ---------------------------------------------------------------- sync if( mpi_node == 0 ): log_function( "%10s%30.10lf"%( "", ok_fun ) ) it = 0 qq = 1 ff = ok_fun while( qq == 1 ): for i in range( population_size ): # ------------------------------------------------------------------------- # # rand/1 + binomial # a, b, c = qm3.maths.rand.sample( [ j for j in range( population_size ) if j != i ], 3 ) # trial = [] # for j in range( obj.size ): # if( qm3.maths.rand.random() < crossover_probability ): # trial.append( min( max( coor[a][j] + mutation_factor * ( coor[b][j] - coor[c][j] ), 0.0 ), 1.0 ) ) # else: # trial.append( coor[i][j] ) # ------------------------------------------------------------------------- # rand-to-best/1 + binomial a, b = qm3.maths.rand.sample( [ j for j in range( population_size ) if j != i ], 2 ) trial = [] for j in range( obj.size ): if( qm3.maths.rand.random() < crossover_probability ): trial.append( min( max( coor[i][j] + mutation_factor * ( ok_crd[j] - coor[i][j] + coor[a][j] - coor[b][j] ), 0.0 ), 1.0 ) ) else: trial.append( coor[i][j] ) # ------------------------------------------------------------------------- obj.coor = [ minc[j] + disp[j] * trial[j] for j in range( obj.size ) ] obj.get_func() if( obj.func < func[i] ): func[i] = obj.func coor[i] = trial[:] if( obj.func < ok_fun ): ok_stp = math.sqrt( sum( [ math.pow( ok_crd[j] - trial[j], 2.0 ) for j in range( obj.size ) ] ) / float( obj.size ) ) ok_fun = obj.func ok_crd = trial[:] # sync ---------------------------------------------------------------- if( mpi_ncpu > 1 ): qm3.utils._mpi.barrier() if( mpi_node == 0 ): STEP = [ ok_stp ] FUNC = [ ok_fun ] COOR = [ ok_crd[:] ] for i in range( 1, mpi_ncpu ): STEP += qm3.utils._mpi.recv_r8( i, 1 ) FUNC += qm3.utils._mpi.recv_r8( i, 1 ) COOR.append( qm3.utils._mpi.recv_r8( i, obj.size ) ) ok_fun = min( FUNC ) ok_crd = COOR[FUNC.index( ok_fun )][:] ok_stp = STEP[FUNC.index( ok_fun )] for i in range( 1, mpi_ncpu ): qm3.utils._mpi.send_r8( i, [ ok_stp ] ) qm3.utils._mpi.send_r8( i, [ ok_fun ] ) qm3.utils._mpi.send_r8( i, ok_crd ) else: qm3.utils._mpi.send_r8( 0, [ ok_stp ] ) qm3.utils._mpi.send_r8( 0, [ ok_fun ] ) qm3.utils._mpi.send_r8( 0, ok_crd ) ok_stp = qm3.utils._mpi.recv_r8( 0, 1 )[0] ok_fun = qm3.utils._mpi.recv_r8( 0, 1 )[0] ok_crd = qm3.utils._mpi.recv_r8( 0, obj.size ) # ---------------------------------------------------------------- sync if( mpi_node == 0 ): if( ff > ok_fun ): ff = ok_fun it += 1 qq = int( it < step_number and ok_stp > step_tolerance ) if( it % print_frequency == 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) obj.current_step( it ) if( mpi_ncpu > 1 ): qm3.utils._mpi.barrier() if( mpi_node == 0 ): for i in range( 1, mpi_ncpu ): qm3.utils._mpi.send_i4( i, [ qq ] ) else: qq = qm3.utils._mpi.recv_i4( 0, 1 )[0] if( mpi_node == 0 ): if( it % print_frequency != 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) if( checkpointing ): fd = open( "diffevo.chk", "wb" ) pickle.dump( [ minc[j] + disp[j] * ok_crd[j] for j in range( obj.size ) ], fd ) fd.close() log_function( "-" * 40 ) obj.coor = [ minc[j] + disp[j] * ok_crd[j] for j in range( obj.size ) ] obj.func = ok_fun else: log_function( "mpi_node = %d: done!"%( mpi_node ) ) except: pass def __smp_diffevo_fitness_process( que, who, obj, vec ): obj.coor = vec[:] obj.get_func() que.client( [ ( who, obj.func ) ] ) def smp_diffevo( objs, boundaries, step_number = 200, print_frequency = 10, step_tolerance = 1.0e-6, population_size = 10, mutation_factor = 0.8, crossover_probability = 0.75, checkpointing = True, log_function = default_log ): # ------------------------------------------------------------------------- ncpu = len( objs ) size = objs[0].size population_size = max( population_size, size * 2 ) population_size = ( population_size // ncpu + ( population_size % ncpu != 0 ) ) * ncpu chnk = population_size // ncpu mutation_factor = min( max( mutation_factor, 0.1 ), 1.0 ) crossover_probability = min( max( crossover_probability, 0.1 ), 1.0 ) # ------------------------------------------------------------------------- log_function( "---------------------------------------- Genetic Minimization (SMP/DE: rand-to-best/1+bin)\n" ) log_function( "Degrees of Freedom: %20ld"%( size ) ) log_function( "Step Number: %20d"%( step_number ) ) log_function( "Print Frequency: %20d"%( print_frequency ) ) log_function( "Step Tolerance: %20.10lg\n"%( step_tolerance ) ) log_function( "CPUs Number: %20d"%( ncpu ) ) log_function( "Population: %20d"%( population_size ) ) log_function( "Pop. Chunks: %20d"%( chnk ) ) log_function( "Mutation Factor: %20.10lg"%( mutation_factor ) ) log_function( "Crossover Prob.: %20.10lg\n"%( crossover_probability ) ) log_function( "%10s%30s"%( "Step", "Function" ) ) log_function( "-" * 40 ) minc = [] disp = [] for i in range( size ): minc.append( min( boundaries[i] ) ) disp.append( math.fabs( boundaries[i][1] - boundaries[i][0] ) ) coor = [] func = [] for i in range( chnk ): Q = qm3.utils.queue.Queue( ncpu ) for j in range( ncpu ): w = i * ncpu + j coor.append( [] ) for k in range( size ): coor[-1].append( qm3.maths.rand.random() ) threading.Thread( target = __smp_diffevo_fitness_process, args = ( Q, w, objs[j], [ minc[k] + disp[k] * coor[-1][k] for k in range( size ) ] ) ).start() Q.serve() func += Q.data func = [ j for i,j in sorted( func ) ] ok_fun = min( func ) ok_crd = coor[func.index( ok_fun )][:] ok_stp = 2.0 * step_tolerance log_function( "%10s%30.10lf"%( "", ok_fun ) ) it = 0 ff = ok_fun while( it < step_number and ok_stp > step_tolerance ): for i in range( chnk ): Q = qm3.utils.queue.Queue( ncpu ) T = [] for j in range( ncpu ): T.append( [] ) w = i * ncpu + j # ------------------------------------------------------------------------- # rand/1 + binomial a, b, c = qm3.maths.rand.sample( [ k for k in range( population_size ) if k != w ], 3 ) for k in range( size ): if( qm3.maths.rand.random() < crossover_probability ): T[-1].append( min( max( coor[a][k] + mutation_factor * ( coor[b][k] - coor[c][k] ), 0.0 ), 1.0 ) ) else: T[-1].append( coor[w][k] ) threading.Thread( target = __smp_diffevo_fitness_process, args = ( Q, w, objs[j], [ minc[k] + disp[k] * T[-1][k] for k in range( size ) ] ) ).start() Q.serve() F = sorted( Q.data ) for j in range( ncpu ): if( F[j][1] < func[F[j][0]] ): func[F[j][0]] = F[j][1] coor[F[j][0]] = T[j][:] if( F[j][1] < ok_fun ): ok_stp = math.sqrt( sum( [ math.pow( ok_crd[k] - T[j][k], 2.0 ) for k in range( size ) ] ) / float( size ) ) ok_fun = F[j][1] ok_crd = T[j][:] if( ff > ok_fun ): ff = ok_fun it += 1 if( it % print_frequency == 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) if( checkpointing ): fd = open( "diffevo.chk", "wb" ) pickle.dump( [ minc[j] + disp[j] * ok_crd[j] for j in range( size ) ], fd ) fd.close() if( it % print_frequency != 0 ): log_function( "%10d%30.10lf"%( it, ok_fun ) + " (%.1le)"%( ok_stp ) ) log_function( "-" * 40 ) objs[0].coor = [ minc[j] + disp[j] * ok_crd[j] for j in range( size ) ] objs[0].func = ok_fun	46.593909	147	0.453263	2,135	18,358	3.740047	0.10726	0.066124	0.035817	0.031684	0.782718	0.751284	0.747151	0.74402	0.720726	0.712336	0	0.034219	0.352108	18,358	393	148	46.712468	0.637128	0.099303	0.776074	0	0	0.074453	0.010425	0	0	0	0	0	1	0.015337	false	0.003067	0.027607	0	0.042945	0.039877	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3927faa7c4589182730fad8b4652353dc5b548a5	114	py	Python	Class 1_Helloworld.py	favanso/Python_Projects	b5be3d067f89abe27b15fb8b359ae8e96f45c52e	[ "MIT" ]	null	null	null	Class 1_Helloworld.py	favanso/Python_Projects	b5be3d067f89abe27b15fb8b359ae8e96f45c52e	[ "MIT" ]	null	null	null	Class 1_Helloworld.py	favanso/Python_Projects	b5be3d067f89abe27b15fb8b359ae8e96f45c52e	[ "MIT" ]	null	null	null	# This is my first program # Name: Hello World print('Hello World') print("This is \n my first \n program")	19	40	0.666667	19	114	4	0.526316	0.157895	0.394737	0	0	0	0	0	0	0	0	0	0.219298	114	5	41	22.8	0.853933	0.368421	0	0	0	0.650794	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	6
1a2ff90b8b9115aeed04b0e1d7443a0af43ffa46	33	py	Python	caixa/metaclasses/__init__.py	wstlabs/caixa	7ce02640598a4261202196089a6bd1df8a9da344	[ "Apache-2.0" ]	null	null	null	caixa/metaclasses/__init__.py	wstlabs/caixa	7ce02640598a4261202196089a6bd1df8a9da344	[ "Apache-2.0" ]	null	null	null	caixa/metaclasses/__init__.py	wstlabs/caixa	7ce02640598a4261202196089a6bd1df8a9da344	[ "Apache-2.0" ]	null	null	null	from .flyweight import Flyweight	16.5	32	0.848485	4	33	7	0.75	0	0	0	0	0	0	0	0	0	0	0	0.121212	33	1	33	33	0.965517	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
1aba5121c2358ab630a23f6e90442bb0f06682d5	29	py	Python	pipenv/patched/contoml/file/__init__.py	Enzime/pipenv	d4f710be4a39e09a82a5133b7b3a277ee9bfb13a	[ "MIT" ]	4	2018-10-01T08:56:14.000Z	2020-01-04T19:47:45.000Z	pipenv/patched/contoml/file/__init__.py	Enzime/pipenv	d4f710be4a39e09a82a5133b7b3a277ee9bfb13a	[ "MIT" ]	4	2020-03-24T16:06:51.000Z	2021-06-10T20:48:41.000Z	pipenv/patched/contoml/file/__init__.py	Enzime/pipenv	d4f710be4a39e09a82a5133b7b3a277ee9bfb13a	[ "MIT" ]	2	2018-04-06T05:36:25.000Z	2018-12-30T22:58:58.000Z	from .file import TOMLFile	7.25	26	0.758621	4	29	5.5	1	0	0	0	0	0	0	0	0	0	0	0	0.206897	29	3	27	9.666667	0.956522	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
46c792f7460307a039f22c1228cbda93648793c5	111	py	Python	pyramda/logic/not_func_test.py	sergiors/pyramda	5bf200888809b1bc946e813e29460f204bccd13e	[ "MIT" ]	124	2015-07-30T21:34:25.000Z	2022-02-19T08:45:50.000Z	pyramda/logic/not_func_test.py	sergiors/pyramda	5bf200888809b1bc946e813e29460f204bccd13e	[ "MIT" ]	37	2015-08-31T23:02:20.000Z	2022-02-04T04:45:28.000Z	ramda/not_func_test.py	slavaGanzin/pyramda	4fa7fe28d5eaa798b702d28bdd3948515cb88f48	[ "MIT" ]	20	2015-08-04T18:59:09.000Z	2021-12-13T08:08:59.000Z	from .not_func import not_func def not_func_test(): assert not not_func(True) assert not_func(False)	15.857143	30	0.738739	19	111	4	0.473684	0.460526	0	0	0	0	0	0	0	0	0	0	0.189189	111	6	31	18.5	0.844444	0	0	0	0	0	0	0	0	0	0	0.5	1	0.25	true	0	0.25	0	0.5	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	1	1	0	0	0	0	0	6
46cd82aff901ad4a18e07cb71585f80a9e29c421	25,471	py	Python	core/argo/core/keras_models/BayesianInception.py	szokejokepu/natural-rws	bb1ad4ca3ec714e6bf071d2136593dc853492b68	[ "MIT" ]	4	2020-12-07T19:13:13.000Z	2022-01-30T18:52:18.000Z	core/argo/core/keras_models/BayesianInception.py	szokejokepu/natural-rws	bb1ad4ca3ec714e6bf071d2136593dc853492b68	[ "MIT" ]	12	2020-09-25T22:41:28.000Z	2022-02-09T23:46:34.000Z	core/argo/core/keras_models/BayesianInception.py	szokejokepu/natural-rws	bb1ad4ca3ec714e6bf071d2136593dc853492b68	[ "MIT" ]	2	2021-03-02T18:31:04.000Z	2021-03-02T21:56:43.000Z	import tensorflow as tf import tensorflow_probability as tfp from .keras_utils import get_renorm_clipping from tensorflow.keras.layers import Concatenate #from tensorflow.keras.layers import MaxPooling2D,AveragePooling2D class BayesianInception(tf.keras.Model): """Constructs a ResNet model. """ def __init__(self, filters=[16, 32], kernels=[5, 5], strides=[1, 1], logits_size=None, flipout=True, renorm=False, pooling="avg", activation = ('relu', {}), layer_kwargs={}, layer_kwargs_bayes={}): super().__init__(name='bayesian_inception') activation_name, activation_kwargs = activation if flipout: Conv2D = tfp.layers.Convolution2DFlipout Dense = tfp.layers.DenseFlipout else: Conv2D = tfp.layers.Convolution2DReparameterization Dense = tfp.layers.DenseReparameterization pooling_choices = ["max", "avg"] if pooling not in pooling_choices: raise ValueError("pooling must be in {:}, instead {:} found.".format(pooling_choices, pooling)) if pooling=="max": Pool = tf.keras.layers.MaxPooling2D elif pooling=="avg": Pool = tf.keras.layers.AveragePooling2D renorm_clipping = None if renorm: renorm_clipping = get_renorm_clipping() self.blocks_list = [] stem=Resnet_Stem_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(stem) for i in range(4): block = ResnetBlockA_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(block) redA=ReductionA_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(redA) for i in range(6): block1 = ResnetBlockB_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(block1) redB=ReductionB_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(redB) for i in range(4): block2 = ResnetBlockC_Inception(Conv2D, renorm, Pool, renorm_clipping, activation_name = activation_name, activation_kwargs = activation_kwargs, layer_kwargs_bayes) self.blocks_list.append(block2) self._pooling = tf.keras.layers.AveragePooling2D(2,1) self._flat = tf.keras.layers.Flatten() self._drop=tf.keras.layers.SpatialDropout2D(rate=0.5) self._last_dense = None if logits_size is not None: self._last_dense = Dense( logits_size, layer_kwargs_bayes) def call(self, inputs, training=False, extra_kwargs): net = inputs for block in self.blocks_list: net = block(net, training=training) net = self._pooling(net) net = self._drop(net,training=training) net = self._flat(net) if self._last_dense: net = self._last_dense(net) return net class ResnetBlockA_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='ResnetBlockA_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(pooling,stride_pool): return Pool(pooling,stride_pool) def concatenate(): return Concatenate(axis=3) self._conv2a =conv2d_(filters=16, num_row=1, num_col=1) self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=16, num_row=1, num_col=1) self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=16, num_row=3, num_col=3) self._batch2c= batch_bn() self._act2c= act() self._conv2d =conv2d_(filters=16, num_row=1, num_col=1) self._batch2d= batch_bn() self._act2d= act() self._conv2e =conv2d_(filters=28, num_row=3, num_col=3) self._batch2e= batch_bn() self._act2e= act() self._conv2f =conv2d_(filters=32, num_row=3, num_col=3) self._batch2f= batch_bn() self._act2f= act() self._conv2g =conv2d_(filters=32, num_row=1, num_col=1) self._batch2g= batch_bn() self._act2g= act() self._concatenate_a=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch2 = self._conv2b(input_tensor) branch2 = self._act2b(self._batch2b(branch2,training=training)) branch2 = self._conv2c(branch2) branch2 = self._act2c(self._batch2c(branch2,training=training)) branch3 = self._conv2d(input_tensor) branch3 = self._act2d(self._batch2d(branch3,training=training)) branch3 = self._conv2e(branch3) branch3 = self._act2e(self._batch2e(branch3,training=training)) branch3 = self._conv2f(branch3) branch3 = self._act2f(self._batch2f(branch3,training=training)) mix = self._concatenate_a([branch1, branch2,branch3]) final = self._conv2g(mix) final = self._act2g(self._batch2g(final,training=training)) return final class ResnetBlockB_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='ResnetBlockB_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(pooling,stride_pool): return Pool(pooling,stride_pool) def concatenate(): return Concatenate(axis=3) self._conv2a =conv2d_(filters=32, num_row=1, num_col=1) self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=32, num_row=1, num_col=1) self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=32, num_row=1, num_col=7) self._batch2c= batch_bn() self._act2c= act() self._conv2d =conv2d_(filters=32, num_row=7, num_col=1) self._batch2d= batch_bn() self._act2d= act() self._conv2e =conv2d_(filters=32, num_row=1, num_col=1) self._batch2e= batch_bn() self._act2e= act() self._concatenate_a=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch2 = self._conv2b(input_tensor) branch2 = self._act2b(self._batch2b(branch2,training=training)) branch2 = self._conv2c(branch2) branch2 = self._act2c(self._batch2c(branch2,training=training)) branch2 = self._conv2d(branch2) branch2 = self._act2d(self._batch2d(branch2,training=training)) mix = self._concatenate_a([branch1, branch2]) final = self._conv2e(mix) final = self._act2e(self._batch2e(final,training=training)) return final class ResnetBlockC_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='ResnetBlockC_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(self,pooling,stride_pool): return Pool(pooling,stride_pool) def concatenate(): return Concatenate(axis=3) self._conv2a =conv2d_(filters=16, num_row=1, num_col=1) self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=16, num_row=1, num_col=1) self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=32, num_row=1, num_col=3) self._batch2c= batch_bn() self._act2c= act() self._conv2d =conv2d_(filters=32, num_row=3, num_col=1) self._batch2d= batch_bn() self._act2d= act() self._conv2e =conv2d_(filters=32, num_row=1, num_col=1) self._batch2e= batch_bn() self._act2e= act() self._concatenate_a=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch2 = self._conv2b(input_tensor) branch2 = self._act2b(self._batch2b(branch2,training=training)) branch2 = self._conv2c(branch2) branch2 = self._act2c(self._batch2c(branch2,training=training)) branch2 = self._conv2d(branch2) branch2 = self._act2d(self._batch2d(branch2,training=training)) mix = self._concatenate_a([branch1, branch2]) final = self._conv2e(mix) final = self._act2e(self._batch2e(final,training=training)) return final class Resnet_Stem_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='Stem_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def concatenate(): return Concatenate(axis=3) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(pooling,stride_pool,padding='valid'): return Pool(pooling,stride_pool,padding=padding) self._conv2a =conv2d_(filters=16, num_row=3, num_col=3,strides=2,padding='valid') self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=16, num_row=3, num_col=3,padding='valid') self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=16, num_row=3, num_col=3,padding='valid') self._batch2c= batch_bn() self._act2c= act() self._pool_2c=pool_apply(3,1) self._conv2d =conv2d_(filters=16, num_row=3, num_col=3,padding='valid') self._batch2d= batch_bn() self._act2d= act() self._conv2e =conv2d_(filters=32, num_row=1, num_col=1) self._batch2e= batch_bn() self._act2e= act() self._conv2e1 =conv2d_(filters=32, num_row=7, num_col=1) self._batch2e1= batch_bn() self._act2e1= act() self._conv2e2 =conv2d_(filters=32, num_row=1, num_col=7) self._batch2e2= batch_bn() self._act2e2= act() self._conv2e3 =conv2d_(filters=32, num_row=3, num_col=3, padding='valid') self._batch2e3= batch_bn() self._act2e3= act() self._conv2f =conv2d_(filters=32, num_row=1, num_col=1, padding='valid') self._batch2f= batch_bn() self._act2f= act() self._conv2f1 =conv2d_(filters=32, num_row=3, num_col=3, padding='valid') self._batch2f1= batch_bn() self._act2f1= act() self._conv2g =conv2d_(filters=32, num_row=3, num_col=3,padding='valid') self._batch2g= batch_bn() self._act2g= act() self._pool_2g=pool_apply(3,1) self._concatenate_a=concatenate() self._concatenate_b=concatenate() self._concatenate_c=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch1 = self._conv2b(branch1) branch1 = self._act2b(self._batch2b(branch1,training=training)) branch1 = self._conv2c(branch1) branch1 = self._act2c(self._batch2c(branch1,training=training)) branch2 = self._pool_2c(branch1) branch3 = self._conv2d(branch1) branch3 = self._act2d(self._batch2d(branch3,training=training)) mix = self._concatenate_a([branch3, branch2]) branch1 = self._conv2e(mix) branch1 = self._act2e(self._batch2e(branch1,training=training)) branch1 = self._conv2e1(branch1) branch1 = self._act2e1(self._batch2e1(branch1,training=training)) branch1 = self._conv2e2(branch1) branch1 = self._act2e2(self._batch2e2(branch1,training=training)) branch1 = self._conv2e3(branch1) branch1 = self._act2e3(self._batch2e3(branch1,training=training)) branch2 = self._conv2f(mix) branch2 = self._act2f(self._batch2f(branch2,training=training)) branch2 = self._conv2f1(branch2) branch2 = self._act2f1(self._batch2f1(branch2,training=training)) mix = self._concatenate_b([branch1, branch2]) branch1 = self._conv2g(mix) branch1 = self._act2g(self._batch2g(branch1,training=training)) branch2 = self._pool_2g(mix) branch = self._concatenate_c([branch1, branch2]) return branch # class Resnet_Stem_test(tf.keras.Model): # def __init__(self, Conv2D, # renorm, Pool,renorm_clipping, # activation_name='relu', activation_kwargs={}, # final_activation=True, # layer_kwargs_bayes # ): # # super().__init__(name='Stem_Inception') # # def conv2d_( filters=10, # num_row=1, # num_col=1, # padding='same', # strides=1, # name=None): # return Conv2D(filters, # kernel_size=(num_row, num_col), # strides=strides, # padding=padding, # layer_kwargs_bayes) # def concatenate(): # return Concatenate(axis=3) # # def batch_bn(): # return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) # def act(): # return tf.keras.layers.Activation(activation_name, activation_kwargs) # # def pool_apply(pooling,stride_pool,padding='valid'): # return Pool(pooling,stride_pool,padding=padding) # # self._conv2a =conv2d_(filters=32, num_row=3, num_col=3,strides=2,padding='valid') # self._batch2a= batch_bn() # self._act2a= act() # self._conv2b =conv2d_(filters=32, num_row=3, num_col=3,padding='valid') # self._batch2b= batch_bn() # self._act2b= act() # self._conv2c =conv2d_(filters=64, num_row=3, num_col=3,padding='valid') # self._batch2c= batch_bn() # self._act2c= act() # self._pool_2c=pool_apply(3,1) # self._conv2d =conv2d_(filters=64, num_row=3, num_col=3,padding='valid') # self._batch2d= batch_bn() # self._act2d= act() # # # self._concatenate_a=concatenate() # self._concatenate_b=concatenate() # self._concatenate_c=concatenate() # # def call(self, input_tensor, training=False, extra_kwargs): # # branch1 = self._conv2a(input_tensor) # branch1 = self._act2a(self._batch2a(branch1, training=training)) # branch1 = self._conv2b(branch1) # branch1 = self._act2b(self._batch2b(branch1,training=training)) # branch1 = self._conv2c(branch1) # branch1 = self._act2c(self._batch2c(branch1,training=training)) # # branch2 = self._pool_2c(branch1) # branch3 = self._conv2d(branch1) # branch3 = self._act2d(self._batch2d(branch3,training=training)) # # mix = self._concatenate_a([branch3, branch2]) # # # return mix class ReductionA_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='ReductionA_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(pooling,stride_pool): return Pool(pooling,stride_pool) def concatenate(): return Concatenate(axis=3) self._pool_2a=pool_apply(3,2) self._conv2a =conv2d_(filters=16, num_row=3, num_col=3,strides=2,padding='valid') self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=16, num_row=1, num_col=1) self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=16, num_row=3, num_col=3) self._batch2c= batch_bn() self._act2c= act() self._conv2d =conv2d_(filters=16, num_row=3, num_col=3,strides=2,padding='valid') self._batch2d= batch_bn() self._act2d= act() self._concatenate_a=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch0 = self._pool_2a(input_tensor) branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch2 = self._conv2b(input_tensor) branch2 = self._act2b(self._batch2b(branch2,training=training)) branch2 = self._conv2c(branch2) branch2 = self._act2c(self._batch2c(branch2,training=training)) branch2 = self._conv2d(branch2) branch2 = self._act2d(self._batch2d(branch2,training=training)) final = self._concatenate_a([branch1, branch2,branch0]) return final class ReductionB_Inception(tf.keras.Model): def __init__(self, Conv2D, renorm, Pool,renorm_clipping, activation_name='relu', activation_kwargs={}, final_activation=True, layer_kwargs_bayes ): super().__init__(name='ReductionB_Inception') def conv2d_( filters=10, num_row=1, num_col=1, padding='same', strides=1, name=None): return Conv2D(filters, kernel_size=(num_row, num_col), strides=strides, padding=padding, layer_kwargs_bayes) def batch_bn(): return tf.keras.layers.BatchNormalization(renorm=renorm, renorm_clipping=renorm_clipping) def act(): return tf.keras.layers.Activation(activation_name, activation_kwargs) def pool_apply(pooling,stride_pool): return Pool(pooling,stride_pool) def concatenate(): return Concatenate(axis=3) self._pool_2a=pool_apply(3,2) self._conv2a =conv2d_(filters=16, num_row=1, num_col=1) self._batch2a= batch_bn() self._act2a= act() self._conv2b =conv2d_(filters=16, num_row=3, num_col=3,strides=2,padding='valid') self._batch2b= batch_bn() self._act2b= act() self._conv2c =conv2d_(filters=16, num_row=1, num_col=1) self._batch2c= batch_bn() self._act2c= act() self._conv2d =conv2d_(filters=16, num_row=3, num_col=3,strides=2,padding='valid') self._batch2d= batch_bn() self._act2d= act() self._conv2e =conv2d_(filters=32, num_row=1, num_col=1) self._batch2e= batch_bn() self._act2e= act() self._conv2f =conv2d_(filters=32, num_row=3, num_col=3) self._batch2f= batch_bn() self._act2f= act() self._conv2g =conv2d_(filters=32, num_row=3, num_col=3,strides=2,padding='valid') self._batch2g= batch_bn() self._act2g= act() self._concatenate_a=concatenate() def call(self, input_tensor, training=False, extra_kwargs): branch2 = self._pool_2a(input_tensor) branch1 = self._conv2a(input_tensor) branch1 = self._act2a(self._batch2a(branch1, training=training)) branch1 = self._conv2b(branch1) branch1 = self._act2b(self._batch2b(branch1,training=training)) branch3 = self._conv2c(input_tensor) branch3 = self._act2c(self._batch2c(branch3,training=training)) branch3 = self._conv2d(branch3) branch3 = self._act2d(self._batch2d(branch3,training=training)) branch4 = self._conv2e(input_tensor) branch4 = self._act2e(self._batch2e(branch4,training=training)) branch4 = self._conv2f(branch4) branch4 = self._act2f(self._batch2f(branch4,training=training)) branch4 = self._conv2g(branch4) branch4 = self._act2g(self._batch2g(branch4,training=training)) final = self._concatenate_a([branch1, branch3,branch2,branch4]) return final	38.887023	107	0.581642	2,726	25,471	5.12179	0.062729	0.053073	0.033878	0.018622	0.832975	0.794585	0.7842	0.777038	0.762928	0.760851	0	0.045384	0.31314	25,471	654	108	38.946483	0.752672	0.103569	0.684105	0	0	0.013929	0.0029	0	0	0	0	0	1	0.088531	false	0	0.008048	0.060362	0.185111	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
46d72dcc220515a1594ce4669661621e3df8e1c2	37	py	Python	example.py	VJ0216/fraud_detection	92a2f8bc6062c4d5f92ba8ddd785b45f5b22d3eb	[ "Unlicense" ]	null	null	null	example.py	VJ0216/fraud_detection	92a2f8bc6062c4d5f92ba8ddd785b45f5b22d3eb	[ "Unlicense" ]	null	null	null	example.py	VJ0216/fraud_detection	92a2f8bc6062c4d5f92ba8ddd785b45f5b22d3eb	[ "Unlicense" ]	null	null	null	## print("This is an example script")	18.5	34	0.702703	6	37	4.333333	1	0	0	0	0	0	0	0	0	0	0	0	0.135135	37	2	34	18.5	0.8125	0	0	0	0	0.694444	0	0	0	0	0	0	1	0	true	0	0	0	0	1	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	1	0	null	0	0	0	0	0	1	0	0	0	0	1	6
20069f95a1e39d13b65746474e92af67c14631be	131	py	Python	elvis/modeling/models/__init__.py	seo-95/elvis	a89c759acdf6ce64c7e6863aeb68dc0ba3293fed	[ "Apache-2.0" ]	1	2021-08-01T13:55:27.000Z	2021-08-01T13:55:27.000Z	elvis/modeling/models/__init__.py	seo-95/elvis	a89c759acdf6ce64c7e6863aeb68dc0ba3293fed	[ "Apache-2.0" ]	null	null	null	elvis/modeling/models/__init__.py	seo-95/elvis	a89c759acdf6ce64c7e6863aeb68dc0ba3293fed	[ "Apache-2.0" ]	null	null	null	from .base import * from .build import * from .cnn_bert import * from .layers import * from .vilt import * from .vit_bert import *	18.714286	23	0.725191	20	131	4.65	0.45	0.537634	0	0	0	0	0	0	0	0	0	0	0.183206	131	6	24	21.833333	0.869159	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
201fc7ea242634075bf3e6aae3259bd66f7c3d07	2,443	py	Python	models/mlp.py	amayuelas/NNKGReasoning	0e3623b344fd4e3088ece897f898ddbb1f80888d	[ "MIT" ]	1	2022-03-16T22:20:12.000Z	2022-03-16T22:20:12.000Z	models/mlp.py	amayuelas/NNKGReasoning	0e3623b344fd4e3088ece897f898ddbb1f80888d	[ "MIT" ]	2	2022-03-22T23:34:38.000Z	2022-03-24T17:35:53.000Z	models/mlp.py	amayuelas/NNKGReasoning	0e3623b344fd4e3088ece897f898ddbb1f80888d	[ "MIT" ]	null	null	null	import numpy as np import torch import torch.nn as nn import torch.nn.functional as F class ProjectionMLP(nn.Module): def __init__(self, n_layers, entity_dim): super(ProjectionMLP, self).__init__() self.n_layers = n_layers for i in range(1, self.n_layers+1): setattr(self, "proj_layer_{}".format(i), nn.Linear(2 * entity_dim, 2 * entity_dim)) self.last_layer = nn.Linear(2 * entity_dim, entity_dim) def forward(self, x1, x2): x = torch.cat((x1, x2), dim=-1) for i in range(1, self.n_layers+1): x = F.relu(getattr(self, "proj_layer_{}".format(i))(x)) x = self.last_layer(x) return x class AndMLP(nn.Module): def __init__(self, n_layers, entity_dim): super(AndMLP, self).__init__() self.n_layers = n_layers self.layers = [] for i in range(1, self.n_layers + 1): setattr(self, "and_layer_{}".format(i), nn.Linear(2 * entity_dim, 2 * entity_dim)) self.last_layer = nn.Linear(2 * entity_dim, entity_dim) def forward(self, x1, x2): x = torch.cat((x1, x2), dim=-1) for i in range(1, self.n_layers + 1): x = F.relu(getattr(self, "and_layer_{}".format(i))(x)) x = self.last_layer(x) return x class OrMLP(nn.Module): def __init__(self, n_layers, entity_dim): super(OrMLP, self).__init__() self.n_layers = n_layers self.layers = [] for i in range(1, self.n_layers + 1): setattr(self, "or_layer_{}".format(i), nn.Linear(2 * entity_dim, 2 * entity_dim)) self.last_layer = nn.Linear(2 * entity_dim, entity_dim) def forward(self, x1, x2): x = torch.cat((x1, x2), dim=-1) for i in range(1, self.n_layers + 1): x = F.relu(getattr(self, "or_layer_{}".format(i))(x)) x = self.last_layer(x) return x class NotMLP(nn.Module): def __init__(self, n_layers, entity_dim): super(NotMLP, self).__init__() self.n_layers = n_layers self.layers = [] for i in range(1, self.n_layers + 1): setattr(self, "not_layer_{}".format(i), nn.Linear(entity_dim, entity_dim)) self.last_layer = nn.Linear(entity_dim, entity_dim) def forward(self, x): for i in range(1, self.n_layers + 1): x = F.relu(getattr(self, "not_layer_{}".format(i))(x)) x = self.last_layer(x) return x	34.9	95	0.591077	376	2,443	3.585106	0.119681	0.103858	0.130564	0.089021	0.899852	0.873145	0.860534	0.799703	0.799703	0.799703	0	0.022259	0.264429	2,443	69	96	35.405797	0.72788	0	0.62069	0	0	0.039296	0	0	0	0	0	0	1	0.137931	false	0	0.068966	0	0.344828	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2022c4aa0b4d59aa54f4b7a61697433e2081c04d	24	py	Python	insultgen/__init__.py	CantSayIHave/OllieBotCore_v3	bec7b8bcfbd550bec11a85bfcead8478605998af	[ "MIT" ]	4	2018-01-16T10:08:49.000Z	2019-07-28T07:48:08.000Z	insultgen/__init__.py	CantSayIHave/OllieBotCore	bec7b8bcfbd550bec11a85bfcead8478605998af	[ "MIT" ]	null	null	null	insultgen/__init__.py	CantSayIHave/OllieBotCore	bec7b8bcfbd550bec11a85bfcead8478605998af	[ "MIT" ]	null	null	null	from .insultgen import *	24	24	0.791667	3	24	6.333333	1	0	0	0	0	0	0	0	0	0	0	0	0.125	24	1	24	24	0.904762	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2041f2efaaa2abd711012af995f3899fd7b11171	9,708	py	Python	pyogp/lib/client/tests/test_objects.py	grobertson/PyOGP.lib.Client	681492d95b9a901a79071b70c77bfdd55cdb02db	[ "Apache-2.0" ]	null	null	null	pyogp/lib/client/tests/test_objects.py	grobertson/PyOGP.lib.Client	681492d95b9a901a79071b70c77bfdd55cdb02db	[ "Apache-2.0" ]	null	null	null	pyogp/lib/client/tests/test_objects.py	grobertson/PyOGP.lib.Client	681492d95b9a901a79071b70c77bfdd55cdb02db	[ "Apache-2.0" ]	null	null	null	""" Contributors can be viewed at: http://svn.secondlife.com/svn/linden/projects/2008/pyogp/lib/base/trunk/CONTRIBUTORS.txt $LicenseInfo:firstyear=2008&license=apachev2$ Copyright 2009, Linden Research, Inc. Licensed under the Apache License, Version 2.0. You may obtain a copy of the License at: http://www.apache.org/licenses/LICENSE-2.0 or in http://svn.secondlife.com/svn/linden/projects/2008/pyogp/lib/base/LICENSE.txt $/LicenseInfo$ """ # standard python libs import unittest from binascii import unhexlify #related # pyogp from pyogp.lib.client.objects import * from pyogp.lib.client.settings import Settings from pyogp.lib.client.region import Region from pyogp.lib.client.agent import Agent from pyogp.lib.base.datatypes import UUID, Vector3 # pyogp messaging from pyogp.lib.base.message.udpdeserializer import UDPMessageDeserializer from pyogp.lib.base.message.message import Message, Block from pyogp.lib.base.message.message_handler import MessageHandler # pyogp tests import pyogp.lib.base.tests.config class TestObjects(unittest.TestCase): def setUp(self): self.settings = Settings() self.settings.ENABLE_DEFERRED_PACKET_PARSING = False self.deserializer = UDPMessageDeserializer(settings = self.settings) self.region = Region() self.region.SimName = 'TestMe' self.object_store = ObjectManager(region = self.region, settings = self.settings, message_handler = MessageHandler()) self.object_store.enable_callbacks() self.data = [] def tearDown(self): pass def test_ObjectUpdateCompressed_handling(self): ouc_hex_string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ouc_binary = unhexlify(ouc_hex_string) packet = self.deserializer.deserialize(ouc_binary) self.object_store.onObjectUpdateCompressed(packet) known_objects = [] for _object in self.object_store.object_store: known_objects.append((str(_object.FullID), _object.LocalID)) self.assertEquals(known_objects, [(str(uuid.UUID('2b7f7a6e-32c5-dbfd-e2c7-926d1a9f0aca')), 30452), (str(uuid.UUID('1dd5efe2-faaf-1864-5ac9-bc61c5d8d7ea')), 30451), (str(uuid.UUID('50b8926a-9efe-aa75-c4e9-d8946ba812a5')), 30400), (str(uuid.UUID('cab68676-a725-e9d9-25b0-6d925f0bc5f2')), 30399), (str(uuid.UUID('78716204-2664-69ba-eaa5-2587d877d4ef')), 29840), (str(uuid.UUID('93cbc3e1-8dab-07ea-d4ed-2631aaa569fc')), 30348)]) def test_onObjectUpdateCompressed_with_extraparams(self): hex_data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ouc_binary = unhexlify(hex_data) packet = self.deserializer.deserialize(ouc_binary) self.object_store.onObjectUpdateCompressed(packet) known_objects = [] for _object in self.object_store.object_store: known_objects.append((str(_object.FullID), _object.LocalID)) self.assertEquals(known_objects, [(str(uuid.UUID('e2ba7ac7-db28-24e3-484d-f418b045e62d')), 159536), (str(uuid.UUID('6cbafc4a-9758-9481-cd74-c7ccc89e7440')), 171059), (str(uuid.UUID('d2b300c3-71f1-6887-2750-6d48da05e2f5')), 171036), (str(uuid.UUID('dbb7d110-3f65-0859-d494-3dc40ffb2b61')), 171037), (str(uuid.UUID('1f389eb9-8639-28ff-c37b-a3e4f39a7fed')), 171038)]) def test_onObjectUpdate_selected(self): self.object_store.agent = Agent() fake_uuid = UUID() fake_uuid.random() packet = Message('ObjectUpdate', Block('RegionData', RegionHandle=0, TimeDilation=0), Block('ObjectData', ID=1, State=1, FullID=fake_uuid, CRC=0, PCode=0, Material=0, ClickAction=0, Scale=Vector3(X=0.0, Y=0.0, Z=0.0), ObjectData='', ParentID=fake_uuid, UpdateFlags=0, ProfileCurve=0, PathBegin=0.0, PathEnd=0.0, PathScaleX=0.0, PathScaleY=0.0, PathShearX=0.0, PathShearY=0.0, PathTwist=-1, PathTwistBegin=-1, PathRadiusOffset=-1, PathTaperX=-1, PathTaperY=-1, PathRevolutions=0, PathSkew=-1, ProfileBegin=0, ProfileEnd=0, ProfileHollow=0, TextureEntry='', TextureAnim='', NameValue='Test', Data='', Text='', TextColor=0x0, MedialURL='')) def callback(payload): self.data.append("foo") object_handler = self.object_store.agent.events_handler.register("ObjectSelected") object_handler.subscribe(callback) self.object_store.region.message_handler.handle(packet) self.assertTrue(self.data.pop, "foo") def test_suite(): from unittest import TestSuite, makeSuite suite = TestSuite() suite.addTest(makeSuite(TestObjects)) return suite	63.45098	2,079	0.749691	559	9,708	12.921288	0.423971	0.013291	0.016752	0.009968	0.08736	0.084176	0.075869	0.075869	0.075869	0.075869	0	0.478117	0.190358	9,708	152	2,080	63.868421	0.44084	0.052637	0.104167	0	0	0.492267	0.485515	0	1	0.000327	0	0.03125	1	0.072917	false	0.010417	0.125	0	0.21875	0	0	0	1	null	0	0	0	0	0	0	0	0	0	1	0	1	0	1	0	0	0	0	0	1	null	1	0	0	0	0	0	0	0	0	0	0	6
646d9075b9c738236a0d74bfdceaf06dfdef9616	32	py	Python	run.py	bpines/SelfConsistentCFBRanker	2b742c5a43de7e5a163a83a8d904540bbd81814e	[ "Unlicense" ]	null	null	null	run.py	bpines/SelfConsistentCFBRanker	2b742c5a43de7e5a163a83a8d904540bbd81814e	[ "Unlicense" ]	null	null	null	run.py	bpines/SelfConsistentCFBRanker	2b742c5a43de7e5a163a83a8d904540bbd81814e	[ "Unlicense" ]	null	null	null	from app.flask_app import server	32	32	0.875	6	32	4.5	0.833333	0	0	0	0	0	0	0	0	0	0	0	0.09375	32	1	32	32	0.931034	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
64796e71e8a9f8afa5e4e08e4cbbf6a3ed1e0d5a	135	py	Python	hello/helloworld.py	mattiamatrix/pypackage	0bfc1f87388707ea77923ac9a3033d1765a560a6	[ "MIT" ]	null	null	null	hello/helloworld.py	mattiamatrix/pypackage	0bfc1f87388707ea77923ac9a3033d1765a560a6	[ "MIT" ]	null	null	null	hello/helloworld.py	mattiamatrix/pypackage	0bfc1f87388707ea77923ac9a3033d1765a560a6	[ "MIT" ]	null	null	null	def print_hello_world(): """ :return: """ return "Hello, World!" if __name__ == "__main__": print_hello_world()	12.272727	26	0.57037	14	135	4.642857	0.571429	0.461538	0.461538	0	0	0	0	0	0	0	0	0	0.266667	135	10	27	13.5	0.656566	0.059259	0	0	0	0.190909	0	0	0	0	0	0	1	0.25	true	0	0	0	0.5	0.5	1	0	0	null	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	0	0	1	6
64a327b620c48b5edbfbaaedb6432cfb3c10aa17	11,247	py	Python	ckanext-hdx_pages/ckanext/hdx_pages/tests/test_api.py	OCHA-DAP/hdx-ckan	202e0c44adc4ea8d0b90141e69365b65cce68672	[ "Apache-2.0" ]	58	2015-01-11T09:05:15.000Z	2022-03-17T23:44:07.000Z	ckanext-hdx_pages/ckanext/hdx_pages/tests/test_api.py	OCHA-DAP/hdx-ckan	202e0c44adc4ea8d0b90141e69365b65cce68672	[ "Apache-2.0" ]	1,467	2015-01-01T16:47:44.000Z	2022-02-28T16:51:20.000Z	ckanext-hdx_pages/ckanext/hdx_pages/tests/test_api.py	OCHA-DAP/hdx-ckan	202e0c44adc4ea8d0b90141e69365b65cce68672	[ "Apache-2.0" ]	17	2015-05-06T14:04:21.000Z	2021-11-11T19:58:16.000Z	''' Created on March 19, 2019 @author: Dan ''' import pytest import ckan.model as model import ckan.plugins.toolkit as tk import logging as logging import ckan.logic as logic from ckanext.hdx_dataviz.tests import USER, SYSADMIN, LOCATION _get_action = tk.get_action NotAuthorized = tk.NotAuthorized log = logging.getLogger(__name__) page_elnino = { 'name': 'elnino', 'title': 'El Nino', 'description': 'Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.', 'type': 'event', 'status': 'ongoing', 'state': 'active', 'sections': '[{"data_url": "https://data.humdata.org/dataset/wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino/resource/de96f6a5-9f1f-4702-842c-4082d807b1c1/view/08f78cd6-89bb-427c-8dce-0f6548d2ab21", "type": "map", "description": null, "max_height": "350px", "section_title": "El Nino Affected Countries"}, {"data_url": "https://data.humdata.org/search?q=el%20nino", "type": "data_list", "description": null, "max_height": null, "section_title": "Data"}]', } page_elpico = { 'name': 'elpico', 'title': 'El Pico', 'description': 'El Pico Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.', 'type': 'event', 'status': 'ongoing', 'state': 'active', 'sections': '[{"data_url": "https://data.humdata.org/dataset/wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino/resource/de96f6a5-9f1f-4702-842c-4082d807b1c1/view/08f78cd6-89bb-427c-8dce-0f6548d2ab21", "type": "map", "description": null, "max_height": "350px", "section_title": "El Nino Affected Countries"}, {"data_url": "https://data.humdata.org/search?q=el%20nino", "type": "data_list", "description": null, "max_height": null, "section_title": "Data"}]', } page_elgroupo = { 'name': 'elgroupo', 'title': 'El Groupo', 'groups': [LOCATION], 'description': 'El Groupo Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.', 'type': 'event', 'status': 'ongoing', 'state': 'active', 'sections': '[{"data_url": "https://data.humdata.org/dataset/wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino/resource/de96f6a5-9f1f-4702-842c-4082d807b1c1/view/08f78cd6-89bb-427c-8dce-0f6548d2ab21", "type": "map", "description": null, "max_height": "350px", "section_title": "El Nino Affected Countries"}, {"data_url": "https://data.humdata.org/search?q=el%20nino", "type": "data_list", "description": null, "max_height": null, "section_title": "Data"}]', } page_eldeleted = { 'name': 'eldeleted', 'title': 'El Deleted', 'groups': [LOCATION], 'description': 'El Groupo Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.', 'type': 'event', 'status': 'archived', 'state': 'deleted', 'sections': '[{"data_url": "https://data.humdata.org/dataset/wfp-and-fao-overview-of-countries-affected-by-the-2015-16-el-nino/resource/de96f6a5-9f1f-4702-842c-4082d807b1c1/view/08f78cd6-89bb-427c-8dce-0f6548d2ab21", "type": "map", "description": null, "max_height": "350px", "section_title": "El Nino Affected Countries"}, {"data_url": "https://data.humdata.org/search?q=el%20nino", "type": "data_list", "description": null, "max_height": null, "section_title": "Data"}]', } @pytest.mark.usefixtures('keep_db_tables_on_clean', 'clean_db', 'clean_index', 'setup_user_data') class TestHDXApiPage(object): def test_page_api(self): context = {'model': model, 'session': model.Session, 'user': USER} context_sysadmin = {'model': model, 'session': model.Session, 'user': SYSADMIN} page_dict = _get_action('page_create')(context_sysadmin, page_elnino) assert page_dict assert 'El Pico' not in page_dict.get('title') assert 'Lorem Ipsum is simply dummy text' in page_dict.get('description') elnino = _get_action('page_show')(context_sysadmin, {'id': page_dict.get('id') or page_dict.get('name')}) assert elnino assert 'El Pico' not in elnino.get('title') assert 'El Nino' == elnino.get('title') assert 'elnino' == elnino.get('name') assert 'Lorem Ipsum is simply dummy text' in elnino.get('description') assert 'event' == elnino.get('type') assert 'ongoing' == elnino.get('status') assert 'https://data.humdata.org/dataset/wfp-and-fao-overview' in elnino.get('sections') try: _get_action('page_update')(context_sysadmin, {'id': page_dict.get('id')}) assert False except Exception as ex: assert True grp_dict = _get_action('group_show')(context_sysadmin, {'id': LOCATION}) new_page_dict = _get_action('page_update')(context_sysadmin, {'name': page_elpico.get('name'), 'id': page_dict.get('id'), 'title': page_elpico.get('title'), 'description': 'El Pico Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry\'s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book.', 'groups': [grp_dict.get('id')] } ) assert new_page_dict assert 'El Pico' in new_page_dict.get('title') try: _get_action('page_create')(context, page_elpico) assert False except logic.NotAuthorized: assert True except Exception as ex: assert True try: _get_action('page_update')(context, {'title': 'El Pico Lorem Ipsum'}) assert False except logic.NotAuthorized: assert True except Exception as ex: assert True try: _get_action('page_delete')(context, {'id': page_dict.get('id') or page_dict.get('name')}) assert False except logic.NotAuthorized: assert True except Exception as ex: assert True try: _get_action('page_update')(context_sysadmin, {'id': 'nopageid'}) assert False except logic.NotFound: assert True except logic.ValidationError: assert True except Exception as ex: assert True try: _get_action('page_delete')(context_sysadmin, {'id': 'nopageid'}) assert False except logic.NotFound: assert True except logic.ValidationError: assert True except Exception as ex: assert True _get_action('page_delete')(context_sysadmin, {'id': page_dict.get('id') or page_dict.get('name')}) try: _get_action('page_show')(context_sysadmin, {'id': page_dict.get('id') or page_dict.get('name')}) assert False except logic.NotFound: assert True except Exception as ex: assert True assert True @pytest.mark.usefixtures('keep_db_tables_on_clean', 'clean_db', 'clean_index', 'setup_user_data') class TestHDXPageWithGroups(object): def test_page_with_groups(self): context = {'model': model, 'session': model.Session, 'user': USER} context_sysadmin = {'model': model, 'session': model.Session, 'user': SYSADMIN} page_dict = _get_action('page_create')(context_sysadmin, page_elgroupo) try: _get_action('page_create')(context_sysadmin, page_elgroupo) except Exception as ex: log.info(ex) assert True elgroupo = _get_action('page_show')(context_sysadmin, {'id': page_dict.get('id') or page_dict.get('name')}) page_group_list = _get_action('page_group_list')(context_sysadmin, {'id': page_dict.get('id')}) assert page_group_list page_list = _get_action('page_list')(context_sysadmin, {}) assert page_list grp_dict = _get_action('group_show')(context_sysadmin, {'id': LOCATION}) group_page_list = _get_action('group_page_list')(context_sysadmin, {'id': grp_dict.get('id')}) assert group_page_list try: page_elgroupo['name'] = 'elgroupo2' page_elgroupo['groups'] = [grp_dict.get('id'), grp_dict.get('id')] _get_action('page_create')(context_sysadmin, page_elgroupo) assert False except Exception as ex: log.info(ex) assert True try: page_elgroupo['name'] = 'elgroupo3' page_elgroupo['title'] = 'None' page_elgroupo['groups'] = [grp_dict.get('id')] _get_action('page_create')(context_sysadmin, page_elgroupo) assert False except Exception as ex: log.info(ex) assert True @pytest.mark.usefixtures('keep_db_tables_on_clean', 'clean_db', 'clean_index', 'setup_user_data') class TestHDXValidationPage(object): def test_validation_page(self): context = {'model': model, 'session': model.Session, 'user': USER} context_sysadmin = {'model': model, 'session': model.Session, 'user': SYSADMIN} del page_elpico['name'] try: _get_action('page_create')(context_sysadmin, page_elpico) except logic.ValidationError: assert True except Exception as ex: log.info(ex) assert True @pytest.mark.usefixtures('keep_db_tables_on_clean', 'clean_db', 'clean_index', 'setup_user_data') class TestHDXPageShow(object): def test_page_show(self): context = {'model': model, 'session': model.Session, 'user': USER} context_sysadmin = {'model': model, 'session': model.Session, 'user': SYSADMIN} page = _get_action('page_create')(context_sysadmin, page_eldeleted) eldeleted = _get_action('page_show')(context_sysadmin, {'id': page.get('id')}) assert 'deleted' == eldeleted.get('state') try: _get_action('page_show')(context, {'id': page.get('id')}) except Exception as ex: log.info(ex) assert True try: _get_action('page_show')(context_sysadmin, {}) assert False except logic.ValidationError: assert True	45.350806	477	0.628079	1,382	11,247	4.934877	0.122287	0.03695	0.043842	0.033431	0.816862	0.792082	0.7739	0.753372	0.702493	0.685337	0	0.027696	0.242376	11,247	247	478	45.534413	0.772679	0.003468	0.564103	0	0.041026	0.340418	0.008216	0	0	0	0	0.25641	1	0.020513	false	0	0.030769	0	0.071795	0.025641	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
b3820483cdcb084c45ddd0c6f94cb68de41f7fc7	47	py	Python	src/mlsquare/layers/__init__.py	leoninekev/mlsquare	ff9442c6e155cd8c891adb4ecdc80cad38a50506	[ "MIT" ]	1	2020-04-02T04:25:49.000Z	2020-04-02T04:25:49.000Z	src/mlsquare/layers/__init__.py	leoninekev/mlsquare	ff9442c6e155cd8c891adb4ecdc80cad38a50506	[ "MIT" ]	2	2019-09-24T01:55:02.000Z	2019-12-02T17:52:17.000Z	src/mlsquare/layers/__init__.py	leoninekev/mlsquare	ff9442c6e155cd8c891adb4ecdc80cad38a50506	[ "MIT" ]	2	2019-08-01T10:54:00.000Z	2019-11-12T12:09:39.000Z	from .keras import DecisionTree, Bin, KronProd	23.5	46	0.808511	6	47	6.333333	1	0	0	0	0	0	0	0	0	0	0	0	0.12766	47	1	47	47	0.926829	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
b3e68cb41652f732b83483668541a2776d8f2f96	201	py	Python	app/Util.py	shyamTum/CrowdNav	93015712f42d6aafc217f3c0362b209134ac5cb1	[ "MIT" ]	15	2018-04-27T15:39:57.000Z	2021-05-19T20:58:23.000Z	app/Util.py	shyamTum/CrowdNav	93015712f42d6aafc217f3c0362b209134ac5cb1	[ "MIT" ]	null	null	null	app/Util.py	shyamTum/CrowdNav	93015712f42d6aafc217f3c0362b209134ac5cb1	[ "MIT" ]	15	2018-02-03T14:45:48.000Z	2020-04-08T07:25:43.000Z	""" Helper functions """ def addToAverage(totalCount, totalValue, newValue): """ simple sliding average calculation """ return ((1.0 * totalCount * totalValue) + newValue) / (totalCount + 1)	28.714286	74	0.676617	19	201	7.157895	0.736842	0.294118	0.411765	0	0	0	0	0	0	0	0	0.018182	0.179104	201	6	75	33.5	0.806061	0.258706	0	0	0	0	0	0	0	0	0	0	1	0.5	false	0	0	0	1	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	0	1	0	6
b3eb76db9bf35caf0dfaed8d4b1441517d37352e	188	py	Python	syntactic_analysis/__init__.py	Esukhia/bo-constituency-analysis	8a24302249ed7da2cf4b674ad74b982244ffe3f3	[ "MIT" ]	1	2019-07-11T12:11:28.000Z	2019-07-11T12:11:28.000Z	syntactic_analysis/__init__.py	Esukhia/bo-constituency-analysis	8a24302249ed7da2cf4b674ad74b982244ffe3f3	[ "MIT" ]	null	null	null	syntactic_analysis/__init__.py	Esukhia/bo-constituency-analysis	8a24302249ed7da2cf4b674ad74b982244ffe3f3	[ "MIT" ]	1	2020-12-08T10:10:31.000Z	2020-12-08T10:10:31.000Z	from .prepare import prepare_file from .analysis import generate_analysis, analyze_constituency from .spreadsheet_utils import translate_trees, translate_tsv_dir, xlsx_to_tsv, tsv_to_xlsx	47	91	0.87766	27	188	5.703704	0.592593	0	0	0	0	0	0	0	0	0	0	0	0.085106	188	3	92	62.666667	0.895349	0	0	1	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
379851439594cb04dd65de5fde67994cfbedde65	110	py	Python	_game_chats/settings/test.py	cansarigol/game-chats	4b58e368cbb68126cfeeea2297c8b9bae5679916	[ "MIT" ]	1	2018-03-28T10:38:59.000Z	2018-03-28T10:38:59.000Z	_game_chats/settings/test.py	cansarigol/game-chats	4b58e368cbb68126cfeeea2297c8b9bae5679916	[ "MIT" ]	1	2018-02-21T14:11:15.000Z	2018-02-28T13:54:26.000Z	_game_chats/settings/test.py	cansarigol/game-chats	4b58e368cbb68126cfeeea2297c8b9bae5679916	[ "MIT" ]	null	null	null	from .base import * DATABASES['default']['USER'] = 'gamechats_user' DATABASES['default']['PASSWORD'] = '1234'	27.5	47	0.690909	12	110	6.25	0.75	0.426667	0	0	0	0	0	0	0	0	0	0.04	0.090909	110	4	48	27.5	0.71	0	0	0	0	0.396396	0	0	0	0	0	0	1	0	true	0.333333	0.333333	0	0.333333	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	1	1	0	0	0	6
37a43e5506537a4f4542c67432cd0aa5c213d95e	3,217	py	Python	tests/distances_tests.py	shoshijak/abcpy	ad12808782fa72c0428122fc659fd3ff22d3e854	[ "BSD-3-Clause-Clear" ]	null	null	null	tests/distances_tests.py	shoshijak/abcpy	ad12808782fa72c0428122fc659fd3ff22d3e854	[ "BSD-3-Clause-Clear" ]	null	null	null	tests/distances_tests.py	shoshijak/abcpy	ad12808782fa72c0428122fc659fd3ff22d3e854	[ "BSD-3-Clause-Clear" ]	null	null	null	import unittest import numpy as np from abcpy.distances import Euclidean, PenLogReg, LogReg from abcpy.statistics import Identity class EuclideanTests(unittest.TestCase): def setUp(self): self.stat_calc = Identity(degree = 1, cross = 0) self.distancefunc = Euclidean(self.stat_calc) def test_distance(self): # test simple distance computation a = [[0, 0, 0],[0, 0, 0]] b = [[0, 0, 0],[0, 0, 0]] c = [[1, 1, 1],[1, 1, 1]] #Checks whether wrong input type produces error message self.assertRaises(TypeError, self.distancefunc.distance, 3.4, b) self.assertRaises(TypeError, self.distancefunc.distance, a, 3.4) # test input has different dimensionality self.assertRaises(BaseException, self.distancefunc.distance, a, np.array([[0, 0], [1, 2]])) self.assertRaises(BaseException, self.distancefunc.distance, a, np.array([[0, 0, 0], [1, 2, 3], [4, 5, 6]])) # test whether they compute correct values self.assertTrue(self.distancefunc.distance(a,b) == np.array([0])) self.assertTrue(self.distancefunc.distance(a,c) == np.array([1.7320508075688772])) def test_dist_max(self): self.assertTrue(self.distancefunc.dist_max() == np.inf) class PenLogRegTests(unittest.TestCase): def setUp(self): self.stat_calc = Identity(degree = 1, cross = 0) self.distancefunc = PenLogReg(self.stat_calc) def test_distance(self): d1 = 0.5 * np.random.randn(100,2) - 10 d2 = 0.5 * np.random.randn(100,2) + 10 d1=d1.tolist() d2=d2.tolist() #Checks whether wrong input type produces error message self.assertRaises(TypeError, self.distancefunc.distance, 3.4, d2) self.assertRaises(TypeError, self.distancefunc.distance, d1, 3.4) # completely separable datasets should have a distance of 1.0 self.assertEqual(self.distancefunc.distance(d1,d2), 1.0) # equal data sets should have a distance of 0.0 self.assertEqual(self.distancefunc.distance(d1,d1), 0.0) def test_dist_max(self): self.assertTrue(self.distancefunc.dist_max() == 1.0) class LogRegTests(unittest.TestCase): def setUp(self): self.stat_calc = Identity(degree = 1, cross = 0) self.distancefunc = LogReg(self.stat_calc) def test_distance(self): d1 = 0.5 * np.random.randn(100,2) - 10 d2 = 0.5 * np.random.randn(100,2) + 10 d1=d1.tolist() d2=d2.tolist() #Checks whether wrong input type produces error message self.assertRaises(TypeError, self.distancefunc.distance, 3.4, d2) self.assertRaises(TypeError, self.distancefunc.distance, d1, 3.4) # completely separable datasets should have a distance of 1.0 self.assertEqual(self.distancefunc.distance(d1,d2), 1.0) # equal data sets should have a distance of 0.0 self.assertEqual(self.distancefunc.distance(d1,d1), 0.0) def test_dist_max(self): self.assertTrue(self.distancefunc.dist_max() == 1.0) if __name__ == '__main__': unittest.main()	37.406977	124	0.634753	427	3,217	4.721311	0.196721	0.15873	0.166667	0.011905	0.819444	0.816468	0.74752	0.732143	0.732143	0.732143	0	0.058775	0.243705	3,217	85	125	37.847059	0.769831	0.151383	0.576923	0	0	0.002942	0	0	0	0	0	0.326923	1	0.173077	false	0	0.076923	0	0.307692	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
8066c96d3f8e7c85756bf33c170720d5e2e0385d	32	py	Python	src/rl/np/input/__init__.py	djjh/reinforcement-learning-labs	22706dab9e7f16e364ee4ed79c0bd67a343e5b08	[ "MIT" ]	1	2019-10-06T11:45:52.000Z	2019-10-06T11:45:52.000Z	src/rl/tf/input/__init__.py	djjh/reinforcement-learning-labs	22706dab9e7f16e364ee4ed79c0bd67a343e5b08	[ "MIT" ]	null	null	null	src/rl/tf/input/__init__.py	djjh/reinforcement-learning-labs	22706dab9e7f16e364ee4ed79c0bd67a343e5b08	[ "MIT" ]	null	null	null	from .box_input import BoxInput	16	31	0.84375	5	32	5.2	1	0	0	0	0	0	0	0	0	0	0	0	0.125	32	1	32	32	0.928571	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
80a35f90e28d527b5bd583f1f4ac04b675846358	2,705	py	Python	listdraw.py	gkfthddk/keras	46d96c65d69c39df298800336bbb4d867a2561fb	[ "MIT" ]	null	null	null	listdraw.py	gkfthddk/keras	46d96c65d69c39df298800336bbb4d867a2561fb	[ "MIT" ]	null	null	null	listdraw.py	gkfthddk/keras	46d96c65d69c39df298800336bbb4d867a2561fb	[ "MIT" ]	null	null	null	import os import sys import subprocess import numpy as np from datetime import datetime import matplotlib.pyplot as plt plt.tick_params(labelsize=15) import random import ROOT as rt ptmin=0 ptmax=0 now=datetime.now() fs=25 for pt in [100,200,500,1000]: plt.figure(figsize=(12,8)) for sample in ["zq","qq","zg","gg"]: f=open("{}ptlist{}".format(sample,pt),"read") data=[0]+eval(f.readline()) if("zq" == sample): plt.plot(np.arange(0,65),data,label=r"pp$\rightarrow$zq",drawstyle='steps',linewidth=3) if("zg" == sample): plt.plot(np.arange(0,65),data,color='red',label=r"pp$\rightarrow$zg",drawstyle='steps',linewidth=3,linestyle='--') if("qq" ==sample): #plt.plot(range(65),data,color='C0',alpha=0.5,drawstyle='steps',linewidth=2) plt.fill_between(range(0,65),data,alpha=0.6,linewidth=2,facecolor='azure',edgecolor='C0',label=r"pp$\rightarrow$qq",step='pre') if("gg" ==sample): plt.fill_between(range(0,65),data,facecolor="#ffcfdc",edgecolor='C1',alpha=0.3,linewidth=2,label=r"pp$\rightarrow$gg",step='pre',linestyle='--') plt.xlabel("Particle sequence",fontsize=fs.8) plt.ylabel("Average $p_T$",fontsize=fs.8) plt.yscale('log') plt.grid(alpha=0.6) plt.legend(fontsize=fs) plt.title("{}~{}GeV".format(pt,int(pt1.1)),fontsize=fs) a1,a2,b1,b2=plt.axis() plt.axis((0,64,b1,b2)) f.close() #plt.show() plt.savefig("pic/{}ptlist{}".format(sample,pt),bbox_inches='tight',pad_inches=0.5,dpi=300) plt.figure(figsize=(12,8)) for sample in ["zq","qq","zg","gg"]: f=open("{}drlist{}".format(sample,pt),"read") data=[0]+eval(f.readline()) if("zq" == sample): plt.plot(np.arange(0,65),data,label=r"pp$\rightarrow$zq",drawstyle='steps',linewidth=3) if("zg" == sample): plt.plot(np.arange(0,65),data,color='red',label=r"pp$\rightarrow$zg",drawstyle='steps',linewidth=3,linestyle='--') if("qq" ==sample): #plt.plot(range(65),data,color='C0',alpha=0.5,drawstyle='steps',linewidth=2) plt.fill_between(range(0,65),data,alpha=0.6,linewidth=2,facecolor='azure',edgecolor='C0',label=r"pp$\rightarrow$qq",step='pre') if("gg" ==sample): plt.fill_between(range(0,65),data,facecolor="#ffcfdc",edgecolor='C1',alpha=0.3,linewidth=2,label=r"pp$\rightarrow$gg",step='pre',linestyle='--') plt.xlabel("Particle sequence",fontsize=fs.8) plt.ylabel("Average $\Delta R$",fontsize=fs.8) plt.yscale('log') plt.grid(alpha=0.6) plt.legend(fontsize=fs) plt.title("{}~{}GeV".format(pt,int(pt1.1)),fontsize=fs) a1,a2,b1,b2=plt.axis() plt.axis((0,64,b1,b2)) f.close() #plt.show() plt.savefig("pic/{}drlist{}".format(sample,pt),bbox_inches='tight',pad_inches=0.5,dpi=300)	39.779412	150	0.65841	450	2,705	3.935556	0.251111	0.033879	0.031621	0.08131	0.868436	0.868436	0.868436	0.868436	0.868436	0.868436	0	0.050659	0.102403	2,705	67	151	40.373134	0.678748	0.062847	0.655172	0	0	0.157708	0	0	0	0	0	0	1	0	false	0	0.137931	0	0.137931	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
80dc0b2169af53378b5c1df89a6b4ba300903395	15,316	py	Python	test.py	nKolja/SIKE-zero-value-attacks	f53496b382740a02556e07df2e1afd4c62f03ddb	[ "MIT" ]	null	null	null	test.py	nKolja/SIKE-zero-value-attacks	f53496b382740a02556e07df2e1afd4c62f03ddb	[ "MIT" ]	null	null	null	test.py	nKolja/SIKE-zero-value-attacks	f53496b382740a02556e07df2e1afd4c62f03ddb	[ "MIT" ]	null	null	null	import os import subprocess import math import random def numberToBase(n, b): if(b == 16): return hex(n)[2:] if n == 0: return '0' digits = [] while n: digits.append(int(n % b)) n //= b digits = [str(a) for a in digits][::-1] return ''.join(digits) def attack_bob_j(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./bob_computation', 'j', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.run(['./malicious_alice', str(k), guessed_bits]) subprocess.run(['mv', 'public_keys/pk_j', 'public_keys/alice_pk']) bit = subprocess.check_output(['./bob_computation', 'j', str(secret_key_bits), padded_key, str(k)]) guessed_bits += bit.decode() print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the isogeny by analyzing j-invariant, target uses", 3 ,"isogenies") print("Secret key:\t", print_key[:-bits_i_can_extract],"+", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", print_guess[:-bits_i_can_extract], "+", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_bob_O_0(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./bob_computation', 'O', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_z', str(k) , guessed_bits]) subprocess.call(['mv', 'public_keys/pk_z_0', 'public_keys/alice_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += bit.decode() print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_O_0") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_bob_O_1(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./bob_computation', 'O', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_z', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_z_1', 'public_keys/alice_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += str(1-int(bit.decode())) print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_O_1") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_bob_T_0(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./bob_computation', 'T', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_x', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_x_0', 'public_keys/alice_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += bit.decode() print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_T_0") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_bob_T_1(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./bob_computation', 'T', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_x', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_x_1', 'public_keys/alice_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += str(1-int(bit.decode())) print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_T_1") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_alice_j(prime_size, secret_key_bits, secret_key_trits, trits_i_can_extract, bad_point_exponent, print_base): is_odd_order = "2 and " if(prime_size == 610) else "" secret_key = random.getrandbits(secret_key_bits) secret_key = int(secret_key) key_trits = numberToBase(secret_key, 3).zfill(secret_key_trits) key_trits = key_trits[::-1] computing_party_command = ['./alice_computation', 'j', str(secret_key_trits), key_trits] guessed_trits = "" for k in range(trits_i_can_extract): subprocess.call(['./malicious_bob', str(k) , guessed_trits]) subprocess.call(['mv', 'public_keys/pk_j', 'public_keys/bob_pk']) trit = subprocess.check_output(computing_party_command).decode() if(trit == '0'): guessed_trits += '0' else: subprocess.call(['mv', 'public_keys/pk_j_1', 'public_keys/bob_pk']) trit = subprocess.check_output(computing_party_command).decode() if(trit == '0'): guessed_trits += '1' else: guessed_trits += '2' print_key = key_trits[secret_key_trits - 1::-1] print_guess = guessed_trits[::-1].rjust(secret_key_trits, '') print("Attack on the isogeny by analyzing j-invariant, target uses " + is_odd_order + "4 isogenies") print("Secret key:\t", print_key[:-trits_i_can_extract], "+" if trits_i_can_extract < secret_key_trits else "", numberToBase(int(print_key[-trits_i_can_extract:], 3), print_base)) print("Guessed key:\t", print_guess[:-trits_i_can_extract], "+" if trits_i_can_extract < secret_key_trits else "", numberToBase(int(print_guess[-trits_i_can_extract:], 3), print_base)) print("First", trits_i_can_extract, "trits of secret key are correctly guessed:", (key_trits[:len(guessed_trits)]) == (guessed_trits[:])) print() def attack_alice_O_0(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): is_odd_order = "2 and " if(prime_size == 610) else "" secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./alice_computation', 'O', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_z', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_z_0', 'public_keys/bob_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += bit.decode() print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_O_0") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_alice_O_1(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): is_odd_order = "2 and " if(prime_size == 610) else "" secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./alice_computation', 'O', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_z', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_z_1', 'public_keys/bob_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += str(1-int(bit.decode())) print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_O_1") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_alice_T_0(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): is_odd_order = "2 and " if(prime_size == 610) else "" secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./alice_computation', 'T', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_x', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_x_0', 'public_keys/bob_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += bit.decode() print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_T_0") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() def attack_alice_T_1(prime_size, secret_key_bits, bits_i_can_extract, bad_point_exponent, print_base): is_odd_order = "2 and " if(prime_size == 610) else "" secret_key = random.getrandbits(secret_key_bits) padded_key = bin(secret_key)[2:].zfill(secret_key_bits) padded_key = padded_key[::-1] computing_party_command = ['./alice_computation', 'T', str(secret_key_bits), padded_key] guessed_bits = "" for k in range(bits_i_can_extract): subprocess.call(['./malicious_pk_x', str(k) , guessed_bits]) subprocess.run(['mv', 'public_keys/pk_x_1', 'public_keys/bob_pk']) bit = subprocess.check_output(computing_party_command + [str(k)]) guessed_bits += str(1-int(bit.decode())) print_key = padded_key[secret_key_bits - 1::-1] print_guess = guessed_bits[::-1].rjust(secret_key_bits, '') print("Attack on the three-point ladder with pk_T_1") print("Secret key:\t", numberToBase(int(print_key[-bits_i_can_extract:],2), print_base).upper()) print("Guessed key:\t", numberToBase(int(print_guess[-bits_i_can_extract:],2), print_base).upper()) print("First", bits_i_can_extract, "bits of secret key are correctly guessed:", (padded_key[:len(guessed_bits)]) == (guessed_bits[:])) print() prime_sizes = [434, 503, 610, 751] isog_order_3 = [137, 159, 192, 239] isog_order_2 = [108, 125, 152, 186] isog_order = [isog_order_2, isog_order_3] sk_bits_b = [217, 252, 304, 378] can_extract_b = [208, 244, 299, 365] sk_bits_a = [216, 250, 305, 372] sk_trits_a = [137, 158, 193, 235] can_extract_a = [135, 156, 187, 235] sk_bits = [sk_bits_b, sk_bits_a] # How many bits I can extract can_extract = [can_extract_b, can_extract_a] # How many trits I can extract bad_point_exp_2 = [9, 7, 7, 8] bad_point_exp_3 = [3, 4, 2, 5] bad_point_exp = [bad_point_exp_2, bad_point_exp_3] os.system("make clean -silent") pretty_print = True # pretty_print = False for prime_index in range(4): ps = prime_sizes[prime_index] makefile = "make -silent PRIME_SIZE=".strip() + str(ps).strip() + " attacks" os.system(makefile) print("\n================== PRIME SIZE =", ps, "BITS ==================") print("------------------ TARGET IS BOB -------------------------") skb = sk_bits[0][prime_index] ceb = can_extract[0][prime_index] bpe = bad_point_exp[0][prime_index] pb1 = 16 if pretty_print else 2 attack_bob_j(ps, skb, ceb, bpe, pb1) attack_bob_O_0(ps, skb, skb, bpe, pb1) attack_bob_O_1(ps, skb, skb, bpe, pb1) attack_bob_T_0(ps, skb, skb, bpe, pb1) attack_bob_T_1(ps, skb, skb, bpe, pb1) print("\n----------------- TARGET IS ALICE ------------------------") skb = sk_bits[1][prime_index] skt = sk_trits_a[prime_index] cea = can_extract[1][prime_index] bpe = bad_point_exp[1][prime_index] pb2 = 9 if pretty_print else 3 attack_alice_j(ps, skb, skt, cea, bpe, pb2) attack_alice_O_0(ps, skb, skb, bpe, pb1) attack_alice_O_1(ps, skb, skb, bpe, pb1) attack_alice_T_0(ps, skb, skb, bpe, pb1) attack_alice_T_1(ps, skb, skb, bpe, pb1) os.system("make clean -silent")	42.076923	188	0.683142	2,304	15,316	4.178385	0.067708	0.099096	0.066272	0.07479	0.87587	0.858627	0.833074	0.814065	0.785395	0.781136	0	0.021527	0.162902	15,316	363	189	42.192837	0.72935	0.005027	0.607143	0	0	0.15179	0.003218	0	0	0	0	0	1	0.043651	false	0	0.015873	0	0.071429	0.34127	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
ff03da98f44e8c1c8f8d47d0030ee5445ef02f58	319	py	Python	scrapy/contrib/linkextractors/htmlparser.py	jesuslosada/scrapy	8be28fe4ca8b1cd011d5f7e03661da8a6bb3217b	[ "BSD-3-Clause" ]	22	2018-03-13T13:51:41.000Z	2022-02-19T07:27:48.000Z	scrapy/contrib/linkextractors/htmlparser.py	EnjoyLifeFund/Debian_py36_packages	1985d4c73fabd5f08f54b922e73a9306e09c77a5	[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]	10	2020-02-11T23:34:28.000Z	2022-03-11T23:16:12.000Z	scrapy/contrib/linkextractors/htmlparser.py	EnjoyLifeFund/Debian_py36_packages	1985d4c73fabd5f08f54b922e73a9306e09c77a5	[ "BSD-3-Clause", "BSD-2-Clause", "MIT" ]	6	2017-12-28T03:59:54.000Z	2020-02-26T16:01:45.000Z	import warnings from scrapy.exceptions import ScrapyDeprecationWarning warnings.warn("Module `scrapy.contrib.linkextractors.htmlparser` is deprecated, " "use `scrapy.linkextractors.htmlparser` instead", ScrapyDeprecationWarning, stacklevel=2) from scrapy.linkextractors.htmlparser import *	39.875	81	0.77116	29	319	8.482759	0.586207	0.292683	0.243902	0	0	0	0	0	0	0	0	0.003704	0.153605	319	7	82	45.571429	0.907407	0	0	0	0	0.347962	0.238245	0	0	0	0	0	1	0	true	0	0.5	0	0.5	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
20687711c986df9cdec9ad8786c066a6abff8b7a	24,669	py	Python	hallo/test/modules/dailys/fields/test_dailys_sleep_field.py	SpangleLabs/Hallo	17145d8f76552ecd4cbc5caef8924bd2cf0cbf24	[ "MIT" ]	1	2022-01-27T13:25:01.000Z	2022-01-27T13:25:01.000Z	hallo/test/modules/dailys/fields/test_dailys_sleep_field.py	joshcoales/Hallo	17145d8f76552ecd4cbc5caef8924bd2cf0cbf24	[ "MIT" ]	75	2015-09-26T18:07:18.000Z	2022-01-04T07:15:11.000Z	hallo/test/modules/dailys/fields/test_dailys_sleep_field.py	SpangleLabs/Hallo	17145d8f76552ecd4cbc5caef8924bd2cf0cbf24	[ "MIT" ]	1	2021-04-10T12:02:47.000Z	2021-04-10T12:02:47.000Z	from datetime import datetime, timedelta, date import dateutil.parser import pytest from hallo.events import EventMessage, RawDataTelegram from hallo.modules.dailys.field_sleep import DailysSleepField from hallo.test.modules.dailys.dailys_spreadsheet_mock import DailysSpreadsheetMock class Obj: pass def get_telegram_time(date_time_val): fake_telegram_obj = Obj() fake_telegram_obj.message = Obj() fake_telegram_obj.message.date = date_time_val return fake_telegram_obj def test_create_from_input_col_specified(hallo_getter): test_hallo = hallo_getter({"dailys"}) # Setup cmd_name = "setup dailys field" cmd_args = "sleep" evt = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "{} {}".format(cmd_name, cmd_args), ) evt.split_command_text(cmd_name, cmd_args) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Create from input field = DailysSleepField.create_from_input(evt, spreadsheet) assert field.spreadsheet == spreadsheet def test_telegram_time(hallo_getter): test_hallo = hallo_getter({"dailys"}) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time msg_date = datetime(2018, 12, 23, 23, 44, 13) today = msg_date.date() yesterday = today - timedelta(1) evt = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(msg_date))) field.passive_trigger(evt) # Check data is saved notif_dict = spreadsheet.saved_data["sleep"][ yesterday if msg_date.hour <= 16 else today ] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == msg_date.isoformat() def test_now_time(hallo_getter): test_hallo = hallo_getter({"dailys"}) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time evt = EventMessage(test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep") now = datetime.now() today_date = now.date() yesterday_date = today_date - timedelta(1) field.passive_trigger(evt) # Check data is saved notif_dict = spreadsheet.saved_data["sleep"][ yesterday_date if now.hour <= 16 else today_date ] assert "sleep_time" in notif_dict logged_time = dateutil.parser.parse(notif_dict["sleep_time"]) assert logged_time - now < timedelta(0, 10) def test_sleep_before_5(hallo_getter): test_hallo = hallo_getter({"dailys"}) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time sleep_time = datetime(2018, 12, 23, 12, 44, 13) evt = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(sleep_time))) field.passive_trigger(evt) # Check data is saved to yesterday notif_dict = spreadsheet.saved_data["sleep"][sleep_time.date() - timedelta(1)] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == sleep_time.isoformat() def test_sleep_after_5(hallo_getter): test_hallo = hallo_getter({"dailys"}) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time sleep_time = datetime(2018, 12, 23, 23, 44, 13) evt = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(sleep_time))) field.passive_trigger(evt) # Check data is saved to today notif_dict = spreadsheet.saved_data["sleep"][sleep_time.date()] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == sleep_time.isoformat() @pytest.mark.parametrize( "sleep", [ { "title": "before midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "wake": datetime(2018, 12, 23, 23, 47, 34), }, { "title": "over midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "wake": datetime(2018, 12, 24, 11, 47, 34), }, { "title": "after midnight", "sleep": datetime(2018, 12, 24, 1, 44, 13), "wake": datetime(2018, 12, 24, 11, 47, 34), } ] ) def test_sleep_wake(sleep, hallo_getter): test_hallo = hallo_getter({"dailys"}) sleep_date = date(2018, 12, 23) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time date_sleep = sleep["sleep"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "goodnight" in data_sleep[0].text.lower() # Send wake message with telegram time date_wake = sleep["wake"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert notif_dict["wake_time"] == date_wake.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() @pytest.mark.parametrize( "sleep", [ { "title": "all before midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "interrupt_start": datetime(2018, 12, 23, 23, 15, 14), "interrupt_end": datetime(2018, 12, 23, 23, 16, 17), "wake": datetime(2018, 12, 23, 23, 47, 34), }, { "title": "interrupt before midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "interrupt_start": datetime(2018, 12, 23, 23, 15, 14), "interrupt_end": datetime(2018, 12, 23, 23, 16, 17), "wake": datetime(2018, 12, 24, 11, 47, 34), }, { "title": "interrupt over midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "interrupt_start": datetime(2018, 12, 23, 23, 55, 14), "interrupt_end": datetime(2018, 12, 24, 0, 4, 17), "wake": datetime(2018, 12, 24, 11, 47, 34), }, { "title": "interrupt after midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "interrupt_start": datetime(2018, 12, 24, 2, 15, 14), "interrupt_end": datetime(2018, 12, 24, 2, 17, 17), "wake": datetime(2018, 12, 24, 11, 47, 34), }, { "title": "all after midnight", "sleep": datetime(2018, 12, 24, 0, 44, 13), "interrupt_start": datetime(2018, 12, 24, 2, 15, 14), "interrupt_end": datetime(2018, 12, 24, 2, 16, 17), "wake": datetime(2018, 12, 24, 11, 47, 34), } ] ) def test_sleep_wake_sleep_wake(sleep, hallo_getter): test_hallo = hallo_getter({"dailys"}) sleep_date = date(2018, 12, 23) spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time date_sleep = sleep["sleep"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "goodnight" in data_sleep[0].text.lower() # Send interrupt start message with telegram time date_interrupt_start = sleep["interrupt_start"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data( RawDataTelegram(get_telegram_time(date_interrupt_start)) ) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert notif_dict["wake_time"] == date_interrupt_start.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() # Send interrupt end message with telegram time date_interrupt_end = sleep["interrupt_end"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data( RawDataTelegram(get_telegram_time(date_interrupt_end)) ) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" not in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert isinstance(notif_dict["interruptions"], list) assert len(notif_dict["interruptions"]) == 1 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt_end.isoformat() ) # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "back to sleep" in data_wake[0].text.lower() # Send wake with telegram time date_wake = sleep["wake"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert isinstance(notif_dict["interruptions"], list) assert len(notif_dict["interruptions"]) == 1 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt_end.isoformat() ) assert notif_dict["wake_time"] == date_wake.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() def test_two_interruptions(hallo_getter): test_hallo = hallo_getter({"dailys"}) sleep_date = date(2018, 12, 23) sleep = { "sleep": datetime(2018, 12, 24, 0, 44, 13), "interrupt1_start": datetime(2018, 12, 24, 2, 15, 14), "interrupt1_end": datetime(2018, 12, 24, 2, 16, 17), "interrupt2_start": datetime(2018, 12, 24, 4, 15, 14), "interrupt2_end": datetime(2018, 12, 24, 4, 16, 17), "wake": datetime(2018, 12, 24, 11, 47, 34), } spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time date_sleep = sleep["sleep"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "goodnight" in data_sleep[0].text.lower() # Send first interrupt start message with telegram time date_interrupt1_start = sleep["interrupt1_start"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_interrupt1_start))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert notif_dict["wake_time"] == date_interrupt1_start.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() # Send first interrupt end message with telegram time date_interrupt1_end = sleep["interrupt1_end"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_interrupt1_end))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" not in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert isinstance(notif_dict["interruptions"], list) assert len(notif_dict["interruptions"]) == 1 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt1_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt1_end.isoformat() ) # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "back to sleep" in data_wake[0].text.lower() # Send second interrupt start message with telegram time date_interrupt2_start = sleep["interrupt2_start"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_interrupt2_start))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert len(notif_dict["interruptions"]) == 1 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt1_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt1_end.isoformat() ) assert notif_dict["wake_time"] == date_interrupt2_start.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() # Send second interrupt end message with telegram time date_interrupt2_end = sleep["interrupt2_end"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_interrupt2_end))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" not in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert isinstance(notif_dict["interruptions"], list) assert len(notif_dict["interruptions"]) == 2 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt1_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt1_end.isoformat() ) assert ( notif_dict["interruptions"][1]["wake_time"] == date_interrupt2_start.isoformat() ) assert ( notif_dict["interruptions"][1]["sleep_time"] == date_interrupt2_end.isoformat() ) # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "back to sleep" in data_wake[0].text.lower() # Send wake with telegram time date_wake = sleep["wake"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "interruptions" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert isinstance(notif_dict["interruptions"], list) assert len(notif_dict["interruptions"]) == 2 assert ( notif_dict["interruptions"][0]["wake_time"] == date_interrupt1_start.isoformat() ) assert ( notif_dict["interruptions"][0]["sleep_time"] == date_interrupt1_end.isoformat() ) assert ( notif_dict["interruptions"][1]["wake_time"] == date_interrupt2_start.isoformat() ) assert ( notif_dict["interruptions"][1]["sleep_time"] == date_interrupt2_end.isoformat() ) assert notif_dict["wake_time"] == date_wake.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() def test_sleep_sleep_wake(hallo_getter): test_hallo = hallo_getter({"dailys"}) sleep_date = date(2018, 12, 23) # before midnight sleep = { "title": "before midnight", "sleep1": datetime(2018, 12, 23, 22, 44, 13), "sleep2": datetime(2018, 12, 23, 22, 56, 26), "wake": datetime(2018, 12, 23, 23, 47, 34), } spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time date_sleep1 = sleep["sleep1"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep1))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep1.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "goodnight" in data_sleep[0].text.lower() # Send second sleep message with telegram time date_sleep2 = sleep["sleep2"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep2))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep2.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good night again" in data_sleep[0].text.lower() # Send wake message with telegram time date_wake = sleep["wake"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep2.isoformat() assert notif_dict["wake_time"] == date_wake.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_wake[0].text.lower() def test_sleep_wake_wake(hallo_getter): test_hallo = hallo_getter({"dailys"}) sleep_date = date(2018, 12, 23) # before midnight sleep = { "title": "before midnight", "sleep": datetime(2018, 12, 23, 22, 44, 13), "wake1": datetime(2018, 12, 23, 23, 35, 26), "wake2": datetime(2018, 12, 23, 23, 47, 34), } spreadsheet = DailysSpreadsheetMock(test_hallo.test_user, test_hallo.test_chan) # Setup field field = DailysSleepField(spreadsheet) # Send sleep message with telegram time date_sleep = sleep["sleep"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "sleep" ).with_raw_data(RawDataTelegram(get_telegram_time(date_sleep))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "goodnight" in data_sleep[0].text.lower() # Send first wake message with telegram time date_wake1 = sleep["wake1"] evt_sleep = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake1))) field.passive_trigger(evt_sleep) # Check sleep time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert notif_dict["wake_time"] == date_wake1.isoformat() # Check response is given data_sleep = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "good morning" in data_sleep[0].text.lower() # Send wake message with telegram time date_wake2 = sleep["wake2"] evt_wake = EventMessage( test_hallo.test_server, test_hallo.test_chan, test_hallo.test_user, "morning" ).with_raw_data(RawDataTelegram(get_telegram_time(date_wake2))) field.passive_trigger(evt_wake) # Check wake time is logged notif_dict = spreadsheet.saved_data["sleep"][sleep_date] assert "sleep_time" in notif_dict assert "wake_time" in notif_dict assert notif_dict["sleep_time"] == date_sleep.isoformat() assert notif_dict["wake_time"] == date_wake1.isoformat() # Check response is given data_wake = test_hallo.test_server.get_send_data(1, test_hallo.test_chan, EventMessage) assert "didn't you already wake up?" in data_wake[0].text.lower()	41.460504	99	0.693907	3,251	24,669	4.974469	0.042141	0.07513	0.100482	0.053611	0.923077	0.91003	0.898899	0.873423	0.866374	0.85345	0	0.036485	0.197819	24,669	594	100	41.530303	0.780737	0.084276	0.699789	0	0	0.109177	0	0	0	0	0	0.247357	1	0.023256	false	0.048626	0.012685	0	0.040169	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
2093b013ce994a5e08ed75bd5961c2e8ce3b1adb	30	py	Python	build/lib/git_test/__init__.py	d-giles/git_test	07a59215385d67dc9e2491433ea0f5e1c9483271	[ "MIT" ]	null	null	null	build/lib/git_test/__init__.py	d-giles/git_test	07a59215385d67dc9e2491433ea0f5e1c9483271	[ "MIT" ]	null	null	null	build/lib/git_test/__init__.py	d-giles/git_test	07a59215385d67dc9e2491433ea0f5e1c9483271	[ "MIT" ]	1	2018-11-06T20:49:00.000Z	2018-11-06T20:49:00.000Z	from .code import do_something	30	30	0.866667	5	30	5	1	0	0	0	0	0	0	0	0	0	0	0	0.1	30	1	30	30	0.925926	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2098507532939c0c7777c7a9c35cc6136a500cc8	215	py	Python	docs/examples/return_args.py	cclauss/python-devtools	54b2b2b672bb76dfb14f875b4b41957162bb257f	[ "MIT" ]	487	2017-08-21T11:59:24.000Z	2022-03-30T09:39:55.000Z	docs/examples/return_args.py	sthagen/python-devtools	43d3796f9d2e2d38d94f0fffa23d986f1c22b4d7	[ "MIT" ]	92	2017-09-08T17:50:50.000Z	2022-02-28T09:22:19.000Z	docs/examples/return_args.py	sthagen/python-devtools	43d3796f9d2e2d38d94f0fffa23d986f1c22b4d7	[ "MIT" ]	26	2019-07-26T15:36:00.000Z	2022-03-31T11:59:39.000Z	from devtools import debug assert debug('foo') == 'foo' assert debug('foo', 'bar') == ('foo', 'bar') assert debug('foo', 'bar', spam=123) == ('foo', 'bar', {'spam': 123}) assert debug(spam=123) == ({'spam': 123},)	30.714286	69	0.581395	30	215	4.166667	0.3	0.352	0.336	0.272	0	0	0	0	0	0	0	0.064516	0.134884	215	6	70	35.833333	0.607527	0	0	0	0	0.176744	0	0	0	0	0	0.8	1	0	true	0	0.2	0	0.2	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	1	0	0	1	0	0	0	0	0	6
20ef006eefc7b99067bd31750cabf76998c256fe	260,234	py	Python	instances/passenger_demand/pas-20210422-1717-int18e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int18e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	instances/passenger_demand/pas-20210422-1717-int18e/45.py	LHcau/scheduling-shared-passenger-and-freight-transport-on-a-fixed-infrastructure	bba1e6af5bc8d9deaa2dc3b83f6fe9ddf15d2a11	[ "BSD-3-Clause" ]	null	null	null	""" PASSENGERS """ numPassengers = 34511 passenger_arriving = ( (10, 9, 11, 6, 8, 3, 6, 1, 7, 1, 0, 0, 0, 3, 7, 8, 7, 7, 2, 4, 2, 3, 3, 1, 0, 0), # 0 (6, 12, 8, 11, 5, 3, 4, 3, 3, 2, 1, 1, 0, 10, 10, 10, 6, 7, 4, 2, 2, 3, 7, 3, 4, 0), # 1 (14, 5, 8, 8, 7, 2, 7, 5, 5, 0, 0, 1, 0, 13, 15, 6, 5, 12, 7, 5, 5, 3, 4, 1, 1, 0), # 2 (12, 4, 12, 16, 4, 3, 5, 3, 4, 1, 1, 0, 0, 10, 8, 8, 5, 10, 7, 2, 2, 5, 3, 1, 0, 0), # 3 (9, 12, 10, 11, 10, 3, 6, 4, 5, 1, 3, 0, 0, 9, 10, 9, 3, 8, 8, 5, 4, 4, 5, 0, 0, 0), # 4 (11, 8, 16, 9, 6, 4, 4, 6, 6, 2, 2, 0, 0, 10, 11, 2, 5, 8, 8, 10, 4, 8, 1, 2, 2, 0), # 5 (12, 6, 11, 13, 10, 10, 5, 4, 4, 2, 1, 2, 0, 14, 12, 6, 4, 15, 10, 5, 5, 8, 9, 0, 1, 0), # 6 (15, 15, 9, 12, 9, 4, 4, 5, 6, 6, 2, 0, 0, 17, 6, 6, 7, 14, 5, 7, 5, 6, 4, 1, 2, 0), # 7 (11, 17, 12, 13, 15, 6, 7, 6, 6, 4, 0, 1, 0, 10, 9, 4, 7, 15, 10, 4, 0, 4, 2, 2, 1, 0), # 8 (21, 22, 5, 15, 19, 5, 1, 9, 5, 1, 2, 0, 0, 8, 17, 14, 9, 12, 4, 5, 6, 5, 2, 4, 3, 0), # 9 (12, 16, 15, 15, 10, 4, 6, 6, 3, 2, 0, 1, 0, 21, 13, 10, 10, 19, 16, 9, 5, 4, 2, 3, 2, 0), # 10 (19, 12, 12, 13, 7, 7, 4, 5, 2, 1, 1, 2, 0, 4, 11, 6, 8, 12, 9, 4, 4, 3, 3, 2, 2, 0), # 11 (12, 17, 13, 18, 11, 7, 6, 7, 5, 4, 2, 0, 0, 9, 17, 12, 4, 6, 10, 5, 2, 3, 3, 5, 2, 0), # 12 (21, 17, 16, 14, 13, 5, 7, 7, 5, 2, 5, 1, 0, 19, 18, 14, 5, 17, 6, 8, 4, 6, 9, 4, 1, 0), # 13 (19, 22, 13, 15, 14, 6, 7, 4, 9, 5, 2, 3, 0, 17, 12, 6, 9, 15, 6, 12, 4, 10, 5, 8, 1, 0), # 14 (12, 19, 10, 13, 15, 7, 8, 10, 8, 4, 1, 1, 0, 19, 23, 11, 12, 9, 7, 5, 9, 4, 2, 3, 1, 0), # 15 (17, 19, 10, 24, 9, 6, 7, 8, 7, 3, 0, 3, 0, 17, 12, 10, 10, 13, 6, 5, 6, 6, 6, 4, 1, 0), # 16 (12, 13, 12, 14, 12, 4, 11, 5, 2, 7, 1, 3, 0, 16, 9, 8, 15, 8, 6, 9, 2, 3, 7, 3, 3, 0), # 17 (19, 17, 19, 11, 13, 8, 9, 3, 4, 1, 2, 3, 0, 13, 15, 17, 8, 8, 9, 11, 5, 10, 8, 2, 2, 0), # 18 (21, 14, 15, 18, 10, 4, 5, 7, 3, 2, 2, 2, 0, 20, 19, 8, 11, 15, 8, 3, 7, 2, 9, 5, 3, 0), # 19 (24, 18, 19, 16, 8, 8, 6, 7, 4, 6, 2, 2, 0, 17, 16, 11, 12, 18, 9, 7, 11, 7, 3, 2, 2, 0), # 20 (20, 21, 18, 14, 10, 8, 6, 10, 5, 4, 2, 3, 0, 21, 16, 17, 13, 13, 7, 13, 9, 7, 3, 3, 1, 0), # 21 (18, 17, 17, 13, 13, 8, 7, 11, 7, 6, 7, 1, 0, 18, 12, 14, 11, 14, 3, 3, 5, 5, 8, 4, 2, 0), # 22 (19, 27, 22, 21, 10, 9, 3, 7, 16, 2, 1, 2, 0, 21, 19, 11, 15, 15, 8, 7, 3, 7, 5, 5, 4, 0), # 23 (21, 16, 20, 18, 13, 1, 11, 6, 11, 2, 3, 1, 0, 19, 13, 13, 7, 14, 12, 6, 4, 9, 6, 3, 2, 0), # 24 (17, 14, 8, 12, 24, 2, 5, 10, 7, 3, 3, 0, 0, 20, 12, 15, 14, 16, 9, 12, 5, 11, 7, 5, 1, 0), # 25 (18, 24, 22, 22, 15, 13, 9, 11, 10, 2, 8, 1, 0, 20, 18, 12, 13, 8, 8, 8, 11, 2, 8, 3, 5, 0), # 26 (23, 26, 15, 14, 15, 5, 11, 6, 6, 6, 0, 1, 0, 22, 15, 11, 11, 13, 6, 7, 2, 4, 5, 0, 2, 0), # 27 (13, 21, 19, 17, 19, 9, 6, 10, 10, 5, 4, 0, 0, 17, 13, 8, 14, 20, 8, 1, 5, 8, 3, 4, 1, 0), # 28 (15, 25, 18, 20, 12, 3, 5, 7, 6, 6, 3, 3, 0, 25, 22, 19, 10, 13, 9, 12, 5, 6, 5, 1, 1, 0), # 29 (15, 22, 8, 18, 12, 6, 11, 7, 5, 4, 4, 2, 0, 17, 11, 15, 7, 21, 17, 9, 4, 5, 3, 4, 1, 0), # 30 (21, 10, 22, 20, 9, 5, 9, 6, 11, 4, 4, 2, 0, 11, 15, 13, 7, 13, 3, 3, 4, 3, 4, 1, 1, 0), # 31 (17, 13, 20, 18, 13, 5, 10, 8, 7, 3, 1, 1, 0, 11, 21, 5, 9, 6, 6, 6, 4, 8, 8, 3, 1, 0), # 32 (22, 20, 13, 16, 12, 15, 5, 8, 8, 3, 6, 2, 0, 17, 12, 12, 6, 20, 10, 6, 4, 3, 6, 6, 2, 0), # 33 (28, 21, 15, 16, 17, 8, 7, 7, 4, 8, 3, 1, 0, 20, 13, 9, 10, 15, 5, 12, 7, 7, 7, 8, 3, 0), # 34 (18, 18, 19, 15, 8, 7, 7, 7, 5, 1, 2, 3, 0, 18, 9, 13, 9, 17, 9, 14, 3, 9, 7, 3, 0, 0), # 35 (19, 20, 17, 17, 13, 4, 6, 5, 6, 5, 2, 1, 0, 22, 15, 13, 9, 16, 13, 1, 1, 5, 11, 4, 0, 0), # 36 (13, 15, 16, 18, 13, 6, 6, 8, 6, 2, 3, 1, 0, 23, 17, 10, 6, 17, 14, 5, 7, 7, 7, 4, 0, 0), # 37 (22, 22, 12, 23, 20, 3, 1, 4, 8, 5, 1, 0, 0, 18, 18, 8, 8, 14, 12, 2, 4, 7, 2, 1, 1, 0), # 38 (20, 20, 15, 15, 13, 6, 8, 9, 8, 4, 3, 2, 0, 15, 11, 17, 11, 15, 7, 5, 8, 10, 6, 3, 1, 0), # 39 (23, 14, 23, 15, 22, 4, 10, 3, 3, 8, 6, 0, 0, 19, 12, 3, 13, 13, 4, 3, 6, 7, 3, 4, 3, 0), # 40 (19, 13, 15, 18, 18, 7, 7, 5, 8, 3, 3, 0, 0, 22, 26, 13, 6, 12, 8, 7, 5, 10, 6, 5, 0, 0), # 41 (21, 17, 20, 14, 15, 8, 10, 6, 6, 2, 1, 3, 0, 13, 14, 13, 13, 14, 12, 7, 2, 6, 8, 2, 0, 0), # 42 (15, 10, 18, 18, 15, 7, 5, 10, 6, 4, 4, 0, 0, 13, 16, 11, 8, 12, 6, 6, 3, 5, 4, 6, 0, 0), # 43 (14, 17, 18, 18, 14, 12, 4, 6, 5, 2, 3, 1, 0, 21, 10, 9, 10, 12, 7, 9, 4, 9, 4, 6, 0, 0), # 44 (15, 18, 13, 17, 5, 5, 8, 6, 2, 2, 2, 2, 0, 18, 17, 11, 13, 10, 7, 3, 6, 11, 2, 2, 4, 0), # 45 (15, 19, 13, 19, 13, 6, 10, 5, 5, 0, 0, 1, 0, 13, 17, 16, 8, 15, 12, 5, 4, 8, 10, 3, 2, 0), # 46 (24, 22, 17, 13, 20, 7, 12, 7, 6, 0, 3, 1, 0, 23, 26, 12, 13, 22, 12, 11, 7, 2, 5, 3, 3, 0), # 47 (28, 13, 12, 13, 12, 3, 8, 5, 11, 2, 2, 5, 0, 19, 16, 10, 5, 19, 6, 6, 4, 5, 10, 4, 0, 0), # 48 (21, 10, 16, 18, 20, 7, 4, 6, 9, 2, 3, 1, 0, 14, 14, 12, 14, 9, 6, 6, 7, 8, 6, 2, 1, 0), # 49 (17, 16, 13, 15, 13, 5, 10, 3, 6, 5, 2, 1, 0, 16, 13, 11, 5, 10, 10, 10, 2, 7, 7, 4, 1, 0), # 50 (18, 19, 13, 22, 10, 3, 9, 7, 5, 1, 2, 0, 0, 16, 19, 12, 14, 8, 11, 8, 4, 9, 8, 1, 1, 0), # 51 (12, 20, 13, 16, 12, 8, 6, 7, 6, 2, 3, 1, 0, 16, 16, 8, 14, 18, 13, 7, 3, 5, 3, 2, 1, 0), # 52 (15, 20, 13, 18, 13, 10, 8, 4, 4, 6, 4, 2, 0, 16, 18, 20, 8, 15, 9, 9, 3, 5, 5, 4, 0, 0), # 53 (11, 19, 14, 19, 10, 5, 6, 10, 5, 2, 1, 1, 0, 20, 16, 11, 14, 17, 7, 6, 2, 7, 6, 2, 0, 0), # 54 (21, 11, 7, 19, 12, 2, 3, 7, 6, 4, 2, 2, 0, 12, 15, 15, 6, 14, 6, 7, 4, 10, 4, 2, 2, 0), # 55 (12, 18, 14, 10, 10, 9, 11, 3, 7, 0, 4, 0, 0, 14, 17, 12, 14, 9, 9, 5, 2, 12, 11, 3, 1, 0), # 56 (8, 20, 16, 10, 13, 9, 6, 6, 5, 2, 2, 1, 0, 22, 8, 8, 6, 17, 15, 6, 2, 6, 8, 6, 0, 0), # 57 (22, 14, 11, 13, 8, 3, 11, 2, 10, 3, 0, 1, 0, 13, 19, 12, 12, 21, 7, 8, 3, 10, 3, 5, 1, 0), # 58 (16, 14, 18, 19, 12, 6, 9, 4, 4, 1, 0, 1, 0, 19, 15, 12, 3, 15, 6, 5, 5, 8, 6, 2, 2, 0), # 59 (21, 18, 7, 22, 10, 1, 4, 5, 10, 3, 2, 2, 0, 31, 19, 9, 11, 8, 8, 6, 3, 5, 2, 3, 0, 0), # 60 (19, 20, 11, 15, 10, 9, 10, 6, 8, 5, 3, 0, 0, 27, 17, 10, 5, 14, 4, 7, 4, 4, 2, 5, 0, 0), # 61 (23, 22, 15, 11, 12, 7, 9, 2, 11, 1, 2, 0, 0, 24, 9, 12, 11, 11, 9, 4, 8, 7, 4, 3, 0, 0), # 62 (20, 18, 15, 15, 12, 4, 8, 8, 7, 4, 4, 2, 0, 14, 13, 18, 14, 17, 10, 11, 5, 5, 7, 3, 3, 0), # 63 (14, 16, 19, 19, 14, 5, 7, 5, 8, 3, 3, 0, 0, 21, 20, 7, 12, 12, 11, 6, 4, 6, 8, 5, 2, 0), # 64 (20, 10, 14, 20, 14, 10, 11, 3, 7, 3, 6, 0, 0, 16, 17, 7, 11, 10, 8, 6, 1, 8, 3, 3, 4, 0), # 65 (23, 9, 12, 17, 15, 10, 4, 2, 6, 4, 3, 1, 0, 15, 12, 16, 8, 17, 8, 14, 0, 5, 3, 3, 2, 0), # 66 (22, 25, 15, 11, 8, 9, 4, 4, 7, 3, 3, 1, 0, 14, 10, 15, 5, 18, 8, 14, 1, 8, 4, 5, 1, 0), # 67 (25, 14, 17, 16, 10, 4, 5, 6, 8, 2, 1, 0, 0, 14, 17, 14, 9, 15, 9, 7, 2, 8, 3, 4, 1, 0), # 68 (25, 13, 15, 8, 15, 7, 5, 3, 9, 3, 4, 1, 0, 15, 22, 22, 10, 20, 15, 5, 2, 9, 5, 4, 0, 0), # 69 (15, 20, 14, 17, 14, 10, 8, 4, 4, 5, 2, 1, 0, 23, 19, 13, 6, 10, 10, 7, 5, 11, 7, 1, 1, 0), # 70 (25, 14, 19, 24, 17, 11, 10, 6, 3, 8, 3, 2, 0, 12, 15, 14, 15, 14, 11, 11, 3, 8, 3, 2, 1, 0), # 71 (19, 13, 9, 14, 20, 2, 7, 8, 6, 8, 1, 2, 0, 15, 16, 14, 11, 9, 5, 7, 4, 9, 2, 2, 0, 0), # 72 (20, 15, 18, 25, 18, 7, 3, 5, 4, 6, 3, 0, 0, 19, 23, 15, 13, 15, 2, 8, 1, 1, 3, 5, 2, 0), # 73 (16, 13, 11, 16, 15, 8, 10, 5, 6, 1, 1, 0, 0, 15, 24, 17, 7, 11, 12, 7, 5, 6, 7, 6, 2, 0), # 74 (26, 9, 14, 12, 13, 9, 5, 4, 14, 2, 3, 0, 0, 16, 15, 11, 5, 15, 4, 5, 7, 3, 7, 3, 3, 0), # 75 (20, 13, 19, 24, 20, 5, 7, 6, 3, 8, 5, 3, 0, 25, 11, 12, 5, 13, 5, 10, 3, 7, 6, 4, 1, 0), # 76 (21, 16, 20, 11, 17, 7, 10, 6, 6, 4, 1, 0, 0, 15, 14, 10, 8, 11, 9, 5, 5, 8, 7, 4, 1, 0), # 77 (15, 15, 16, 14, 10, 7, 4, 4, 6, 1, 2, 1, 0, 20, 19, 17, 10, 14, 9, 11, 2, 4, 3, 3, 3, 0), # 78 (21, 13, 15, 19, 13, 7, 5, 5, 9, 3, 3, 3, 0, 15, 16, 10, 8, 22, 8, 6, 6, 7, 6, 5, 3, 0), # 79 (16, 13, 8, 15, 9, 4, 6, 4, 8, 3, 1, 2, 0, 15, 13, 12, 8, 17, 12, 5, 6, 2, 2, 4, 1, 0), # 80 (23, 20, 15, 18, 24, 8, 5, 1, 3, 8, 1, 4, 0, 20, 29, 6, 6, 22, 12, 7, 7, 3, 9, 1, 1, 0), # 81 (18, 14, 18, 19, 15, 3, 9, 4, 5, 1, 3, 2, 0, 27, 19, 8, 5, 18, 10, 3, 5, 7, 4, 4, 0, 0), # 82 (17, 20, 15, 14, 11, 4, 3, 4, 11, 7, 4, 4, 0, 24, 16, 11, 8, 14, 7, 4, 4, 11, 7, 2, 0, 0), # 83 (17, 16, 9, 13, 16, 4, 6, 13, 5, 2, 1, 3, 0, 13, 15, 15, 8, 18, 4, 4, 4, 5, 6, 1, 2, 0), # 84 (28, 21, 20, 22, 13, 8, 4, 7, 3, 3, 1, 2, 0, 26, 17, 11, 10, 15, 6, 4, 4, 6, 9, 0, 0, 0), # 85 (25, 16, 12, 19, 9, 8, 2, 2, 5, 0, 3, 0, 0, 23, 10, 6, 9, 17, 7, 8, 4, 7, 8, 2, 2, 0), # 86 (18, 10, 21, 17, 14, 6, 9, 8, 8, 4, 2, 1, 0, 12, 16, 16, 2, 14, 7, 8, 3, 6, 7, 5, 3, 0), # 87 (18, 13, 17, 13, 13, 8, 10, 7, 10, 2, 2, 1, 0, 19, 20, 13, 10, 7, 6, 8, 4, 3, 6, 1, 1, 0), # 88 (15, 17, 21, 20, 12, 6, 3, 5, 8, 2, 3, 1, 0, 20, 15, 12, 8, 16, 8, 8, 4, 8, 4, 2, 1, 0), # 89 (14, 17, 14, 17, 10, 8, 8, 11, 3, 5, 3, 2, 0, 25, 10, 6, 9, 12, 10, 2, 4, 5, 6, 2, 3, 0), # 90 (15, 10, 11, 23, 14, 6, 3, 2, 5, 1, 2, 1, 0, 26, 10, 15, 12, 14, 4, 5, 2, 4, 6, 2, 2, 0), # 91 (15, 17, 13, 17, 14, 4, 3, 6, 9, 5, 2, 1, 0, 26, 10, 16, 7, 10, 5, 8, 8, 5, 3, 4, 1, 0), # 92 (26, 13, 18, 15, 13, 6, 5, 4, 7, 6, 4, 0, 0, 15, 15, 13, 2, 12, 10, 3, 5, 7, 5, 5, 3, 0), # 93 (22, 12, 21, 13, 11, 7, 6, 3, 4, 2, 3, 0, 0, 24, 12, 12, 11, 18, 4, 5, 3, 5, 4, 1, 1, 0), # 94 (15, 7, 11, 15, 15, 6, 7, 5, 10, 7, 2, 0, 0, 19, 17, 10, 13, 14, 12, 10, 5, 10, 7, 4, 1, 0), # 95 (21, 15, 14, 13, 17, 4, 8, 7, 8, 1, 2, 3, 0, 12, 10, 12, 13, 11, 4, 5, 1, 10, 6, 4, 1, 0), # 96 (21, 12, 15, 17, 14, 6, 3, 3, 9, 4, 2, 2, 0, 17, 16, 17, 7, 13, 6, 4, 5, 10, 4, 4, 1, 0), # 97 (18, 12, 18, 13, 10, 2, 8, 4, 4, 3, 0, 0, 0, 17, 17, 11, 7, 15, 6, 7, 5, 3, 4, 3, 2, 0), # 98 (16, 13, 8, 17, 13, 7, 8, 3, 7, 1, 0, 0, 0, 31, 16, 18, 8, 14, 4, 6, 2, 8, 5, 4, 0, 0), # 99 (19, 16, 13, 12, 13, 9, 6, 4, 3, 2, 1, 1, 0, 22, 16, 13, 6, 10, 0, 0, 3, 5, 5, 3, 2, 0), # 100 (8, 14, 21, 14, 14, 5, 8, 6, 10, 4, 2, 1, 0, 16, 10, 6, 5, 16, 8, 6, 5, 6, 5, 2, 0, 0), # 101 (17, 15, 15, 16, 7, 4, 5, 3, 4, 3, 3, 2, 0, 14, 24, 8, 10, 16, 9, 6, 6, 3, 3, 6, 0, 0), # 102 (15, 16, 10, 14, 11, 4, 8, 5, 4, 3, 3, 3, 0, 18, 18, 5, 10, 16, 7, 8, 2, 7, 5, 3, 3, 0), # 103 (13, 12, 8, 10, 10, 6, 8, 3, 5, 2, 3, 1, 0, 27, 17, 14, 6, 9, 6, 8, 5, 8, 4, 1, 0, 0), # 104 (17, 16, 14, 22, 20, 5, 8, 5, 7, 1, 1, 1, 0, 17, 17, 4, 16, 17, 6, 5, 5, 8, 2, 5, 6, 0), # 105 (21, 20, 19, 13, 9, 6, 3, 5, 7, 2, 4, 1, 0, 18, 17, 7, 7, 6, 12, 3, 2, 7, 3, 2, 1, 0), # 106 (11, 8, 16, 16, 15, 3, 7, 2, 6, 3, 1, 0, 0, 18, 16, 12, 7, 17, 5, 8, 7, 2, 3, 1, 3, 0), # 107 (17, 8, 15, 13, 10, 6, 3, 7, 9, 2, 2, 0, 0, 20, 22, 7, 4, 6, 7, 3, 4, 5, 6, 1, 0, 0), # 108 (16, 14, 12, 18, 14, 8, 6, 7, 4, 2, 2, 1, 0, 18, 12, 13, 7, 10, 3, 6, 6, 9, 4, 4, 0, 0), # 109 (16, 4, 12, 13, 11, 5, 1, 3, 8, 5, 2, 0, 0, 19, 12, 12, 9, 12, 7, 9, 4, 6, 3, 0, 1, 0), # 110 (13, 12, 19, 16, 10, 5, 7, 2, 5, 5, 4, 1, 0, 24, 13, 8, 4, 14, 7, 8, 4, 7, 5, 2, 0, 0), # 111 (10, 16, 11, 15, 13, 2, 10, 7, 6, 0, 2, 4, 0, 16, 14, 13, 9, 10, 7, 1, 5, 5, 6, 4, 4, 0), # 112 (24, 14, 13, 14, 12, 3, 0, 3, 4, 1, 0, 0, 0, 15, 17, 8, 9, 13, 6, 4, 2, 13, 11, 6, 0, 0), # 113 (16, 15, 19, 17, 12, 9, 6, 5, 6, 2, 4, 1, 0, 16, 15, 13, 4, 9, 8, 3, 5, 7, 6, 2, 3, 0), # 114 (11, 8, 12, 10, 12, 3, 2, 7, 8, 1, 3, 2, 0, 18, 10, 12, 12, 12, 8, 3, 2, 5, 13, 2, 1, 0), # 115 (11, 16, 13, 11, 6, 6, 5, 3, 11, 3, 2, 1, 0, 23, 12, 6, 4, 12, 3, 8, 2, 10, 2, 3, 1, 0), # 116 (18, 11, 6, 16, 13, 4, 3, 3, 4, 3, 2, 0, 0, 13, 11, 20, 3, 15, 7, 4, 8, 8, 3, 2, 2, 0), # 117 (10, 12, 12, 11, 19, 10, 7, 5, 3, 2, 2, 2, 0, 19, 10, 10, 9, 14, 5, 6, 5, 5, 3, 3, 2, 0), # 118 (18, 15, 12, 16, 8, 2, 2, 3, 3, 5, 2, 0, 0, 18, 20, 13, 6, 15, 7, 6, 4, 3, 8, 1, 1, 0), # 119 (17, 21, 16, 9, 10, 6, 4, 4, 6, 2, 5, 2, 0, 8, 17, 11, 11, 7, 6, 6, 3, 6, 6, 2, 2, 0), # 120 (17, 18, 12, 14, 18, 3, 2, 3, 6, 1, 5, 2, 0, 14, 7, 10, 10, 13, 6, 3, 4, 7, 4, 1, 0, 0), # 121 (13, 12, 15, 13, 11, 3, 3, 1, 9, 2, 1, 1, 0, 12, 12, 15, 5, 12, 4, 6, 2, 6, 2, 6, 0, 0), # 122 (18, 11, 13, 17, 12, 6, 7, 4, 4, 0, 4, 0, 0, 13, 18, 13, 6, 13, 5, 9, 2, 2, 4, 5, 1, 0), # 123 (22, 16, 14, 17, 15, 8, 6, 6, 8, 2, 2, 0, 0, 10, 16, 9, 10, 12, 4, 6, 4, 11, 5, 0, 3, 0), # 124 (22, 10, 23, 9, 12, 3, 7, 3, 6, 3, 1, 1, 0, 20, 14, 7, 8, 19, 9, 4, 2, 15, 3, 1, 0, 0), # 125 (16, 7, 7, 12, 7, 4, 4, 6, 4, 6, 3, 2, 0, 22, 11, 10, 12, 17, 10, 10, 3, 6, 4, 5, 2, 0), # 126 (24, 15, 8, 15, 15, 4, 2, 5, 6, 2, 0, 1, 0, 26, 10, 11, 7, 10, 6, 3, 5, 10, 1, 2, 0, 0), # 127 (11, 10, 7, 21, 16, 6, 9, 5, 5, 2, 3, 1, 0, 18, 9, 6, 5, 12, 5, 6, 1, 9, 3, 5, 2, 0), # 128 (23, 15, 17, 11, 18, 7, 5, 6, 8, 1, 4, 1, 0, 19, 15, 10, 3, 13, 6, 9, 5, 6, 5, 3, 3, 0), # 129 (20, 10, 13, 11, 8, 2, 5, 8, 2, 0, 1, 0, 0, 16, 15, 8, 4, 13, 8, 2, 4, 4, 4, 6, 0, 0), # 130 (18, 9, 12, 19, 11, 6, 6, 4, 13, 3, 3, 0, 0, 11, 13, 17, 2, 16, 12, 6, 3, 6, 6, 2, 3, 0), # 131 (15, 10, 16, 9, 12, 7, 3, 5, 6, 2, 2, 1, 0, 13, 10, 7, 10, 9, 6, 5, 2, 9, 9, 3, 1, 0), # 132 (14, 13, 20, 10, 9, 5, 3, 1, 8, 2, 3, 2, 0, 12, 10, 8, 8, 18, 6, 1, 2, 8, 5, 6, 1, 0), # 133 (11, 14, 11, 18, 14, 3, 9, 1, 8, 2, 2, 2, 0, 14, 12, 11, 11, 14, 4, 4, 6, 3, 3, 3, 0, 0), # 134 (16, 7, 14, 14, 13, 7, 8, 4, 8, 4, 2, 2, 0, 12, 17, 11, 11, 15, 6, 6, 5, 4, 2, 2, 1, 0), # 135 (11, 12, 9, 13, 11, 6, 3, 6, 6, 3, 4, 2, 0, 9, 13, 17, 3, 12, 4, 4, 8, 5, 6, 1, 1, 0), # 136 (19, 13, 12, 12, 11, 4, 5, 1, 9, 2, 2, 0, 0, 16, 14, 7, 7, 15, 3, 2, 8, 8, 9, 3, 0, 0), # 137 (18, 10, 12, 12, 16, 6, 6, 5, 5, 1, 2, 0, 0, 14, 13, 11, 6, 10, 3, 7, 4, 7, 4, 5, 1, 0), # 138 (10, 15, 11, 18, 7, 9, 6, 2, 2, 2, 1, 0, 0, 15, 12, 8, 5, 13, 5, 4, 3, 4, 5, 5, 1, 0), # 139 (20, 13, 19, 10, 15, 2, 7, 10, 5, 2, 3, 2, 0, 12, 16, 10, 10, 12, 3, 6, 1, 6, 3, 4, 1, 0), # 140 (13, 12, 18, 14, 13, 10, 1, 5, 5, 0, 0, 3, 0, 13, 10, 2, 8, 16, 4, 4, 2, 5, 10, 3, 1, 0), # 141 (14, 12, 17, 14, 15, 8, 4, 0, 7, 2, 3, 2, 0, 27, 18, 12, 12, 9, 11, 3, 5, 5, 5, 2, 1, 0), # 142 (21, 19, 17, 20, 13, 7, 6, 4, 8, 3, 3, 0, 0, 18, 11, 9, 8, 10, 5, 7, 2, 7, 3, 5, 1, 0), # 143 (15, 9, 13, 8, 9, 5, 6, 3, 8, 5, 3, 1, 0, 14, 14, 5, 14, 12, 6, 1, 2, 10, 10, 5, 2, 0), # 144 (11, 12, 8, 17, 14, 6, 5, 3, 4, 4, 2, 0, 0, 17, 15, 9, 0, 13, 6, 4, 2, 5, 6, 4, 0, 0), # 145 (10, 13, 13, 10, 19, 7, 4, 3, 7, 2, 4, 1, 0, 17, 10, 7, 6, 8, 9, 4, 7, 7, 3, 3, 1, 0), # 146 (20, 14, 19, 17, 14, 6, 3, 11, 4, 2, 2, 0, 0, 13, 9, 10, 11, 19, 4, 2, 4, 5, 4, 3, 0, 0), # 147 (21, 4, 12, 7, 14, 6, 8, 6, 6, 2, 0, 2, 0, 20, 13, 9, 12, 18, 5, 3, 5, 2, 5, 1, 1, 0), # 148 (22, 9, 10, 14, 18, 12, 4, 4, 3, 1, 0, 0, 0, 19, 14, 10, 6, 20, 11, 3, 4, 5, 2, 3, 2, 0), # 149 (12, 12, 11, 13, 9, 9, 7, 2, 4, 4, 2, 0, 0, 15, 9, 10, 3, 14, 12, 3, 2, 6, 4, 1, 1, 0), # 150 (14, 6, 10, 16, 10, 4, 6, 4, 5, 0, 0, 0, 0, 18, 17, 7, 8, 5, 5, 4, 7, 6, 5, 2, 1, 0), # 151 (12, 13, 8, 15, 9, 8, 8, 7, 10, 2, 3, 2, 0, 19, 14, 7, 5, 11, 5, 3, 4, 12, 6, 1, 0, 0), # 152 (15, 10, 11, 15, 9, 7, 3, 4, 1, 3, 1, 2, 0, 11, 11, 8, 7, 9, 5, 3, 5, 5, 6, 3, 1, 0), # 153 (11, 8, 8, 14, 10, 7, 0, 1, 8, 4, 1, 1, 0, 13, 14, 11, 7, 11, 4, 6, 3, 4, 5, 1, 2, 0), # 154 (17, 13, 16, 10, 14, 5, 4, 4, 10, 2, 2, 2, 0, 12, 19, 6, 4, 8, 6, 3, 4, 7, 5, 3, 2, 0), # 155 (15, 8, 10, 25, 11, 9, 6, 2, 8, 7, 1, 1, 0, 17, 14, 9, 6, 11, 7, 3, 4, 5, 3, 3, 1, 0), # 156 (14, 11, 9, 16, 12, 5, 5, 3, 5, 3, 2, 0, 0, 24, 6, 10, 8, 10, 5, 2, 1, 2, 3, 2, 0, 0), # 157 (13, 6, 9, 9, 6, 4, 5, 4, 3, 1, 1, 0, 0, 18, 9, 7, 7, 12, 8, 5, 1, 5, 2, 2, 0, 0), # 158 (16, 10, 15, 14, 15, 5, 6, 3, 9, 3, 2, 0, 0, 19, 4, 3, 3, 16, 3, 2, 3, 10, 4, 4, 0, 0), # 159 (9, 6, 10, 10, 7, 2, 2, 3, 7, 0, 0, 1, 0, 17, 8, 12, 8, 18, 9, 6, 6, 7, 4, 3, 0, 0), # 160 (14, 11, 15, 9, 12, 6, 5, 3, 7, 0, 1, 3, 0, 10, 9, 11, 7, 7, 4, 3, 6, 4, 6, 1, 2, 0), # 161 (18, 12, 9, 9, 9, 4, 4, 6, 2, 1, 4, 1, 0, 17, 8, 8, 6, 14, 9, 6, 10, 4, 6, 0, 0, 0), # 162 (17, 6, 8, 9, 9, 5, 5, 4, 5, 2, 3, 1, 0, 13, 8, 5, 11, 6, 4, 2, 1, 5, 0, 2, 0, 0), # 163 (12, 5, 19, 14, 8, 4, 2, 6, 4, 2, 2, 1, 0, 14, 8, 5, 3, 14, 5, 6, 1, 4, 5, 1, 3, 0), # 164 (13, 8, 10, 14, 9, 8, 4, 3, 3, 4, 4, 0, 0, 16, 10, 7, 6, 10, 6, 1, 5, 7, 2, 1, 1, 0), # 165 (12, 4, 10, 13, 3, 4, 2, 5, 2, 2, 6, 0, 0, 11, 12, 9, 6, 11, 9, 5, 2, 3, 4, 3, 0, 0), # 166 (7, 6, 14, 13, 6, 4, 6, 2, 1, 2, 1, 1, 0, 14, 9, 9, 8, 13, 5, 4, 2, 4, 1, 2, 1, 0), # 167 (8, 4, 12, 11, 10, 4, 6, 6, 6, 1, 2, 1, 0, 17, 8, 10, 5, 7, 4, 0, 4, 3, 6, 4, 1, 0), # 168 (10, 8, 6, 11, 9, 6, 3, 5, 5, 1, 3, 0, 0, 7, 6, 7, 6, 8, 4, 2, 4, 7, 3, 2, 2, 0), # 169 (11, 6, 15, 7, 13, 5, 6, 6, 4, 1, 0, 1, 0, 15, 6, 11, 10, 6, 5, 4, 1, 4, 2, 1, 0, 0), # 170 (8, 6, 7, 11, 8, 1, 1, 4, 5, 1, 1, 2, 0, 16, 5, 5, 9, 9, 3, 2, 2, 2, 2, 1, 0, 0), # 171 (9, 10, 10, 10, 4, 3, 5, 3, 2, 2, 0, 2, 0, 12, 9, 6, 3, 13, 8, 3, 4, 3, 4, 0, 0, 0), # 172 (11, 7, 6, 13, 4, 7, 3, 0, 3, 3, 2, 0, 0, 3, 6, 8, 4, 15, 2, 2, 4, 4, 3, 4, 1, 0), # 173 (6, 6, 6, 7, 13, 5, 2, 4, 0, 2, 1, 0, 0, 9, 7, 4, 8, 11, 3, 2, 3, 4, 2, 2, 1, 0), # 174 (9, 10, 6, 5, 6, 2, 2, 2, 4, 1, 0, 1, 0, 18, 3, 7, 5, 5, 6, 3, 2, 6, 4, 1, 0, 0), # 175 (3, 5, 8, 6, 7, 3, 6, 2, 2, 1, 1, 1, 0, 8, 6, 6, 4, 8, 0, 2, 2, 4, 4, 1, 1, 0), # 176 (2, 6, 2, 5, 10, 5, 1, 0, 4, 0, 2, 0, 0, 7, 6, 5, 3, 9, 4, 1, 1, 5, 2, 1, 0, 0), # 177 (7, 7, 8, 5, 8, 3, 3, 4, 2, 0, 0, 0, 0, 10, 7, 2, 1, 6, 1, 4, 4, 1, 1, 0, 0, 0), # 178 (0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), # 179 ) station_arriving_intensity = ( (9.037558041069182, 9.9455194074477, 9.380309813302512, 11.18640199295418, 9.998434093697302, 5.64957887766721, 7.462864107673047, 8.375717111362961, 10.962178311902413, 7.124427027940266, 7.569477294994085, 8.816247140951113, 9.150984382641052), # 0 (9.637788873635953, 10.602109249460566, 9.999623864394273, 11.925259655897909, 10.660482607453627, 6.0227704512766005, 7.955044094274649, 8.927124701230275, 11.686041587399236, 7.59416524609887, 8.069573044721038, 9.398189989465838, 9.755624965391739), # 1 (10.236101416163518, 11.256093307603763, 10.616476113985344, 12.66117786839663, 11.320133352749538, 6.3944732061224006, 8.445273314329269, 9.476325446227955, 12.407016252379588, 8.062044795036982, 8.567681667797364, 9.9778187736955, 10.357856690777442), # 2 (10.830164027663812, 11.904876903485604, 11.228419564775738, 13.391237533557733, 11.974791016803424, 6.763213120653203, 8.93160655496632, 10.021142083490112, 13.122243289657968, 8.526208857167125, 9.061827141289289, 10.55283423287483, 10.955291051257605), # 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179 ) passenger_arriving_rate = ( (9.037558041069182, 9.116726123493724, 7.81692484441876, 8.389801494715634, 6.665622729131535, 3.295587678639206, 3.7314320538365235, 3.4898821297345672, 3.654059437300804, 1.781106756985067, 1.261579549165681, 0.7346872617459261, 0.0, 9.150984382641052, 8.081559879205185, 6.307897745828405, 5.3433202709552, 7.308118874601608, 4.885834981628395, 3.7314320538365235, 2.3539911990280045, 3.3328113645657673, 2.7966004982385453, 1.5633849688837522, 0.828793283953975, 0.0), # 0 (9.637788873635953, 9.718600145338852, 8.333019886995228, 8.943944741923431, 7.106988404969084, 3.5132827632446837, 3.9775220471373247, 3.7196352921792815, 3.8953471957997454, 1.8985413115247178, 1.3449288407868398, 0.7831824991221532, 0.0, 9.755624965391739, 8.615007490343684, 6.724644203934198, 5.695623934574153, 7.790694391599491, 5.207489409050994, 3.9775220471373247, 2.509487688031917, 3.553494202484542, 2.9813149139744777, 1.6666039773990458, 0.883509104121714, 0.0), # 1 (10.236101416163518, 10.318085531970116, 8.847063428321121, 9.495883401297473, 7.546755568499692, 3.7301093702380674, 4.222636657164634, 3.948468935928315, 4.135672084126529, 2.015511198759246, 1.4279469446328943, 0.8314848978079584, 0.0, 10.357856690777442, 9.14633387588754, 7.13973472316447, 6.046533596277737, 8.271344168253059, 5.527856510299641, 4.222636657164634, 2.6643638358843336, 3.773377784249846, 3.1652944670991583, 1.7694126856642243, 0.938007775633647, 0.0), # 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170 (9.8037067799313, 6.88567597242723, 8.943595590559468, 9.087712010080473, 8.141609155716246, 4.052573392592758, 3.0738753317464247, 3.1145482858039375, 4.491280647241173, 1.6012097956723452, 1.2635219727265048, 0.759041442856858, 0.0, 10.859004644096458, 8.349455871425437, 6.317609863632523, 4.803629387017034, 8.982561294482347, 4.360367600125513, 3.0738753317464247, 2.8946952804233987, 4.070804577858123, 3.029237336693492, 1.7887191181118935, 0.6259705429479302, 0.0), # 171 (9.414149195198457, 6.604840243792839, 8.59899637469188, 8.733282052217486, 7.827023663601784, 3.898348775719581, 2.950312857633059, 2.996385928091453, 4.321688342208532, 1.5379700793475863, 1.2138172325870082, 0.7293606553847958, 0.0, 10.438762991665145, 8.022967209232752, 6.069086162935041, 4.613910238042758, 8.643376684417063, 4.194940299328034, 2.950312857633059, 2.7845348397997007, 3.913511831800892, 2.911094017405829, 1.7197992749383764, 0.6004400221629854, 0.0), # 172 (9.015926634730764, 6.31884822623908, 8.245112258713068, 8.369965110043767, 7.504099150636442, 3.739670217458989, 2.824219541798235, 2.874754829737218, 4.146991178573053, 1.4732667499892769, 1.1629298234682535, 0.6989481145132089, 0.0, 10.007491061193234, 7.6884292596452966, 5.8146491173412675, 4.41980024996783, 8.293982357146106, 4.024656761632105, 2.824219541798235, 2.6711930124707064, 3.752049575318221, 2.7899883700145893, 1.6490224517426137, 0.5744407478399164, 0.0), # 173 (8.610452322453618, 6.028646228565374, 7.883301641646902, 7.99911370433908, 7.174066281278959, 3.57716542999902, 2.6960289773182877, 2.7501399485948705, 3.9678934227629785, 1.4073330442117262, 1.1110452002969786, 0.6679162646069503, 0.0, 9.566825591751181, 7.347078910676452, 5.555226001484892, 4.221999132635178, 7.935786845525957, 3.850195928032819, 2.6960289773182877, 2.5551181642850143, 3.5870331406394795, 2.6663712347796937, 1.5766603283293805, 0.5480587480513978, 0.0), # 174 (8.19913948229242, 5.7351805595711465, 7.514922922517262, 7.622080355883197, 6.838155719988082, 3.41146212552771, 2.566174757269552, 2.623026242518047, 3.7850993412065432, 1.3404021986292411, 1.058348817999921, 0.6363775500308723, 0.0, 9.118403322409455, 7.000153050339593, 5.291744089999604, 4.021206595887723, 7.5701986824130865, 3.6722367395252657, 2.566174757269552, 2.4367586610912215, 3.419077859994041, 2.540693451961066, 1.5029845845034526, 0.5213800508701043, 0.0), # 175 (7.783401338172574, 5.43939752805582, 7.141334500348018, 7.240217585455879, 6.497598131222556, 3.2431880162330953, 2.4350904747283635, 2.493898669360387, 3.5993132003319848, 1.2727074498561304, 1.0050261315038191, 0.6044444151498269, 0.0, 8.663860992238513, 6.648888566648095, 5.025130657519095, 3.8181223495683905, 7.1986264006639695, 3.4914581371045417, 2.4350904747283635, 2.3165628687379254, 3.248799065611278, 2.4134058618186267, 1.4282669000696038, 0.49449068436871096, 0.0), # 176 (7.364651114019479, 5.1422434428188195, 6.763894774163046, 6.8548779138368925, 6.1536241794411275, 3.0729708143032117, 2.303209722771056, 2.3632421869755245, 3.411239266567542, 1.2044820345067013, 0.9512625957354108, 0.5722293043286669, 0.0, 8.204835340308824, 6.2945223476153345, 4.756312978677054, 3.6134461035201033, 6.822478533135084, 3.3085390617657344, 2.303209722771056, 2.1949791530737226, 3.0768120897205637, 2.284959304612298, 1.3527789548326095, 0.4674766766198928, 0.0), # 177 (6.944302033758534, 4.8446646126595665, 6.383962142986221, 6.467413861806007, 5.807464529102536, 2.901438231926097, 2.170966094473966, 2.2315417532170994, 3.2215818063414514, 1.1359591891952627, 0.897243665621434, 0.5398446619322442, 0.0, 7.742963105690853, 5.938291281254685, 4.486218328107169, 3.4078775675857873, 6.443163612682903, 3.1241584545039394, 2.170966094473966, 2.072455879947212, 2.903732264551268, 2.1558046206020025, 1.2767924285972443, 0.44042405569632426, 0.0), # 178 (0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0), # 179 ) passenger_allighting_rate = ( (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 0 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 1 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 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17 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 18 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 19 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 20 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 21 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 22 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 23 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 24 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 25 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 26 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 27 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 28 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 29 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 30 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 31 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 32 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 33 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 34 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 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158 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 159 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 160 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 161 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 162 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 163 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 164 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 165 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 166 (0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1, 0, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 0.07692307692307693, 1), # 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179 ) """ parameters for reproducibiliy. More information: https://numpy.org/doc/stable/reference/random/parallel.html """ #initial entropy entropy = 8991598675325360468762009371570610170 #index for seed sequence child child_seed_index = ( 1, # 0 44, # 1 )	278.325134	490	0.771267	32,987	260,234	6.084185	0.234395	0.355159	0.340809	0.645743	0.366016	0.361108	0.360809	0.36066	0.36066	0.36066	0	0.85104	0.095045	260,234	934	491	278.623126	0.001185	0.015413	0.200873	0	0	0	0	0	0	0	0	0	1	0	false	0.005459	0	0	0	0	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	1	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
4586bdde1959fd933965c8142f7eef70f0f37618	11,960	py	Python	escnn/group/groups/factory.py	QUVA-Lab/escnn	59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882	[ "BSD-3-Clause" ]	4	2022-03-16T22:51:39.000Z	2022-03-18T18:45:49.000Z	escnn/group/groups/factory.py	QUVA-Lab/escnn	59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882	[ "BSD-3-Clause" ]	null	null	null	escnn/group/groups/factory.py	QUVA-Lab/escnn	59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882	[ "BSD-3-Clause" ]	null	null	null	from escnn.group import direct_product from .cyclicgroup import CyclicGroup from .dihedralgroup import DihedralGroup from .so2group import SO2 from .o2group import O2 from .so3group import SO3 from .o3group import O3 from .ico import Icosahedral from .octa import Octahedral __all__ = [ "trivial_group", "cyclic_group", "dihedral_group", "so2_group", "o2_group", "so3_group", "o3_group", "ico_group", "octa_group", "full_ico_group", "full_octa_group", "full_cylinder_group", "cylinder_group", "full_cylinder_discrete_group", "cylinder_discrete_group", ] def trivial_group(): r""" Builds the trivial group :math:`C_1` which contains only the identity element :math:`e`. You should use this factory function to build an instance of the trivial group. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built, this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Returns: the trivial group """ return CyclicGroup._generator(1) def cyclic_group(N: int): r""" Builds a cyclic group :math:`C_N`of order ``N``, i.e. the group of ``N`` discrete planar rotations. You should use this factory function to build an instance of :class:`escnn.group.CyclicGroup`. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`~escnn.group.Group.quotient_representation`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: N (int): number of discrete rotations in the group Returns: the cyclic group of order ``N`` """ return CyclicGroup._generator(N) def dihedral_group(N: int): r""" Builds a dihedral group :math:`D_{2N}`of order ``2N``, i.e. the group of ``N`` discrete planar rotations and reflections. You should use this factory function to build an instance of :class:`escnn.group.DihedralGroup`. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`~escnn.group.Group.quotient_representation`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: N (int): number of discrete rotations in the group Returns: the dihedral group of order ``2N`` """ return DihedralGroup._generator(N) def so2_group(maximum_frequency: int = 3): r""" Builds the group :math:`SO(2)`, i.e. the group of continuous planar rotations. Since the group has infinitely many irreducible representations, it is not possible to build all of them. Each irrep is associated to one unique frequency and the parameter ``maximum_frequency`` specifies the maximum frequency of the irreps to build. New irreps (associated to higher frequencies) can be manually created by calling the method :meth:`escnn.group.SO2.irrep` (see the method's documentation). You should use this factory function to build an instance of :class:`escnn.group.SO2`. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`escnn.group.SO2.irrep`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: maximum_frequency (int): maximum frequency of the irreps Returns: the group :math:`SO(2)` """ return SO2._generator(maximum_frequency) def o2_group(maximum_frequency: int = 3): r""" Builds the group :math:`O(2)`, i.e. the group of continuous planar rotations and reflections. Since the group has infinitely many irreducible representations, it is not possible to build all of them. Each irrep is associated to one unique frequency and the parameter ``maximum_frequency`` specifies the maximum frequency of the irreps to build. New irreps (associated to higher frequencies) can be manually created by calling the method :meth:`escnn.group.O2.irrep` (see the method's documentation). You should use this factory function to build an instance of :class:`escnn.group.O2`. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`escnn.group.O2.irrep`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: maximum_frequency (int): maximum frequency of the irreps Returns: the group :math:`O(2)` """ return O2._generator(maximum_frequency) def so3_group(maximum_frequency: int = 2): r""" Builds the group :math:`SO(3)`, i.e. the group of continuous 3D rotations. Args: maximum_frequency (int): maximum frequency of the irreps Returns: the group :math:`SO(3)` """ return SO3._generator(maximum_frequency) def o3_group(maximum_frequency: int = 2): r""" Builds the group :math:`O(3)`, i.e. the group of continuous 3D rotations and reflections. Args: maximum_frequency (int): maximum frequency of the irreps Returns: the group :math:`O(3)` """ return O3._generator(maximum_frequency) def ico_group(): r""" Builds the group :math:`I`, i.e. the group of symmetries of the icosahedron Returns: the group :math:`I` """ return Icosahedral._generator() def full_ico_group(): r""" Builds the group :math:`I_h = C_2 \times I`, i.e. the group of all symmetries of the icosahedron Returns: the group :math:`I` """ ico = ico_group() c2 = cyclic_group(2) return direct_product(c2, ico, name='FullIcosahedral') def octa_group(): r""" Builds the group :math:`O`, i.e. the group of symmetries of the cube or octahedron Returns: the group :math:`O` """ return Octahedral._generator() def full_octa_group(): r""" Builds the group :math:`O_h = C_2 \times O`, i.e. the group of all symmetries of the cube or octahedron Returns: the group :math:`O_h` """ octa = octa_group() c2 = cyclic_group(2) return direct_product(c2, octa, name='FullOctahedral') def full_cylinder_group(maximum_frequency: int = 3): r""" Builds the group :math:`C_2 \times O(2)`, i.e. the group of symmetries of a cylinder. It contains continuous planar rotations and planar reflections (the :math:`O(2)` dihedral symmetry subgroup) and 3D inversions (the :math:`C_2` subgroups). The group also includes the subgroup of mirroring with respect to a plane passing throgh the axis of the cylinder. Since the group has infinitely many irreducible representations, it is not possible to build all of them. Each irrep is associated to one unique frequency and the parameter ``maximum_frequency`` specifies the maximum frequency of the irreps to build. New irreps (associated to higher frequencies) can be manually created by calling the method :meth:`~escnn.group.DirectProductGroup.irrep` (see the method's documentation). You should use this factory function to build an instance of of this group. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`~escnn.group.O2.irrep` of an instance of :class:`~escnn.group.O2`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: maximum_frequency (int): maximum frequency of the :math:`O(2)` irreps Returns: the group :math:`C_2 \times O(2)` """ o2 = o2_group(maximum_frequency) c2 = cyclic_group(2) return direct_product(c2, o2, name='FullCylindrical') def cylinder_group(maximum_frequency: int = 3): r""" Builds the group :math:`C_2 \times SO(2)`, which contains continuous planar rotations (the :math:`SO(2)` symmetry subgroup) and 3D inversions (the :math:`C_2` subgroups). Since the group has infinitely many irreducible representations, it is not possible to build all of them. Each irrep is associated to one unique frequency and the parameter ``maximum_frequency`` specifies the maximum frequency of the irreps to build. New irreps (associated to higher frequencies) can be manually created by calling the method :meth:`~escnn.group.DirectProductGroup.irrep` (see the method's documentation). You should use this factory function to build an instance of of this group. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. In case of multiple calls of this function with different parameters or in case new representations are built (eg. through the method :meth:`~escnn.group.SO2.irrep` of an instance of :class:`~escnn.group.SO2`), this unique instance is updated with the new representations and, therefore, all its references will see the new representations. Args: maximum_frequency (int): maximum frequency of the :math:`SO(2)` irreps Returns: the group :math:`C_2 \times O(2)` """ so2 = so2_group(maximum_frequency) c2 = cyclic_group(2) return direct_product(c2, so2, name='Cylindrical') def full_cylinder_discrete_group(n: int): r""" Builds the group :math:`C_2 \times D_n`, i.e. a group of discrete symmetries of a cylinder. It contains `n` discrete planar rotations and planar reflections (the :math:`D_n` dihedral symmetry subgroup) and 3D inversions (the :math:`C_2` subgroups). The group also includes the subgroup of mirroring with respect to `n` planes passing through the axis of the cylinder. You should use this factory function to build an instance of of this group. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. Args: n (int): number of discrete rotations Returns: the group :math:`C_2 \times D_n` """ dn = dihedral_group(n) c2 = cyclic_group(2) return direct_product(c2, dn, name='FullCylindricalDiscrete') def cylinder_discrete_group(n: int): r""" Builds the group :math:`C_2 \times C_n`, which contains `n` discrete planar rotations (the :math:`C_n` symmetry subgroup) and 3D inversions (the :math:`C_2` subgroups). You should use this factory function to build an instance of of this group. Only one instance is built and, in case of multiple calls to this function, the same instance is returned. Args: n (int): number of discrete rotations Returns: the group :math:`C_2 \times C_n` """ cn = cyclic_group(n) c2 = cyclic_group(2) return direct_product(c2, cn, name='CylindricalDiscrete')	35.384615	121	0.706689	1,746	11,960	4.769759	0.091638	0.041306	0.034582	0.03074	0.835134	0.824328	0.813401	0.798511	0.773775	0.723583	0	0.010785	0.216973	11,960	337	122	35.489614	0.878484	0.741388	0.072289	0	0	0.130906	0.032076	0	0	0	0	0	1	0.180723	false	0	0.108434	0	0.46988	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
b31980544a8c6bdb44fd75319e827904194cc674	111	py	Python	my_app/main/__init__.py	yeswanth928/College-Results-Website	48a41fcbf0f46804bf98ccfb878c7ffa742beb93	[ "MIT" ]	2	2020-07-20T18:36:49.000Z	2020-07-21T06:40:19.000Z	my_app/main/__init__.py	yeswanth928/College-Results-Website	48a41fcbf0f46804bf98ccfb878c7ffa742beb93	[ "MIT" ]	null	null	null	my_app/main/__init__.py	yeswanth928/College-Results-Website	48a41fcbf0f46804bf98ccfb878c7ffa742beb93	[ "MIT" ]	null	null	null	from flask import Blueprint main=Blueprint('main',__name__,template_folder='/./templates') from . import views	27.75	62	0.792793	14	111	5.928571	0.714286	0.313253	0	0	0	0	0	0	0	0	0	0	0.081081	111	3	63	37	0.813725	0	0	0	0	0.144144	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	6
b344c624395f6c148e43ae9f8c7189ffa953e07f	976	py	Python	blueque/task.py	ustudio/Blueque	f973c470d6558856bbd7f3bf4d6a3e42d38fce85	[ "Apache-2.0" ]	5	2016-12-03T23:10:45.000Z	2018-06-06T17:06:27.000Z	blueque/task.py	ustudio/Blueque	f973c470d6558856bbd7f3bf4d6a3e42d38fce85	[ "Apache-2.0" ]	8	2015-06-19T21:32:48.000Z	2021-01-08T19:27:45.000Z	blueque/task.py	ustudio/Blueque	f973c470d6558856bbd7f3bf4d6a3e42d38fce85	[ "Apache-2.0" ]	1	2017-05-18T06:15:17.000Z	2017-05-18T06:15:17.000Z	class Task(object): def __init__(self, id, redis_task): super(Task, self).__init__() self._id = id self._attributes = redis_task.get_task_data() @property def id(self): return self._id @property def status(self): return self._attributes.get("status") @property def queue(self): return self._attributes.get("queue") @property def parameters(self): return self._attributes.get("parameters") @property def result(self): return self._attributes.get("result") @property def error(self): return self._attributes.get("error") @property def node(self): return self._attributes.get("node") @property def pid(self): return self._attributes.get("pid") @property def created(self): return self._attributes.get("created") @property def updated(self): return self._attributes.get("updated")	20.765957	53	0.61168	111	976	5.162162	0.207207	0.244328	0.244328	0.376963	0.424084	0	0	0	0	0	0	0	0.269467	976	46	54	21.217391	0.803647	0	0.285714	0	0	0.054303	0	0	0	0	0	0	1	0.314286	false	0	0	0.285714	0.628571	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	0	1	1	0	6
b36c876d3f4c9fc4fa5a401d27e447b6c5a120d5	96	py	Python	pytorch_autograd_checkpointing/__init__.py	shirazb/pytorch-autograd-checkpointing	a31513208fe085365db6d8d7a4a4fad72e18d95b	[ "MIT" ]	1	2019-10-14T16:52:02.000Z	2019-10-14T16:52:02.000Z	pytorch_autograd_checkpointing/__init__.py	shirazb/pytorch-autograd-checkpointing	a31513208fe085365db6d8d7a4a4fad72e18d95b	[ "MIT" ]	null	null	null	pytorch_autograd_checkpointing/__init__.py	shirazb/pytorch-autograd-checkpointing	a31513208fe085365db6d8d7a4a4fad72e18d95b	[ "MIT" ]	1	2019-08-31T22:00:27.000Z	2019-08-31T22:00:27.000Z	from .checkpoint_sequential import * from .CheckpointedSequential import CheckpointedSequential	32	58	0.885417	8	96	10.5	0.625	0	0	0	0	0	0	0	0	0	0	0	0.083333	96	2	59	48	0.954545	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	1	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
2fcfac46c233b5723d500f6a2375cc3f34a8fbed	85	py	Python	notebooks/Skew_T/solutions/skewt_bulk_shear.py	DEVESHTARASIA/unidata-python-workshop	6ce194a0515effbd0cddb50c2302d5160494747e	[ "MIT" ]	1	2020-01-18T20:34:33.000Z	2020-01-18T20:34:33.000Z	notebooks/Skew_T/solutions/skewt_bulk_shear.py	DEVESHTARASIA/unidata-python-workshop	6ce194a0515effbd0cddb50c2302d5160494747e	[ "MIT" ]	null	null	null	notebooks/Skew_T/solutions/skewt_bulk_shear.py	DEVESHTARASIA/unidata-python-workshop	6ce194a0515effbd0cddb50c2302d5160494747e	[ "MIT" ]	1	2020-11-07T12:42:54.000Z	2020-11-07T12:42:54.000Z	shr_u, shr_v = mpcalc.bulk_shear(p, u, v, depth=200 * units.hPa) print(shr_u, shr_v)	28.333333	64	0.705882	19	85	2.894737	0.631579	0.145455	0.254545	0.290909	0	0	0	0	0	0	0	0.040541	0.129412	85	2	65	42.5	0.702703	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0	0	0	0.5	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	1	6
64320797fe6297dd95b1d8853bcf73f9c5751e3c	20	py	Python	clientbot/__init__.py	abrohit/Hackathon	f5abfa884b50a52c8285f5d4c2a7c15b27575ad5	[ "MIT" ]	4	2020-08-08T21:58:24.000Z	2020-08-11T20:16:53.000Z	clientbot/__init__.py	abrohit/Hackathon	f5abfa884b50a52c8285f5d4c2a7c15b27575ad5	[ "MIT" ]	null	null	null	clientbot/__init__.py	abrohit/Hackathon	f5abfa884b50a52c8285f5d4c2a7c15b27575ad5	[ "MIT" ]	4	2020-08-11T21:42:25.000Z	2020-09-17T13:24:05.000Z	from .mongo import *	20	20	0.75	3	20	5	1	0	0	0	0	0	0	0	0	0	0	0	0.15	20	1	20	20	0.882353	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
6432f772e067ac5c3e3c448502a821cd3775054e	71	py	Python	__init__.py	yamasampo/invasion	12e349d7a0f90017de41be9f643624decee22621	[ "Apache-2.0" ]	null	null	null	__init__.py	yamasampo/invasion	12e349d7a0f90017de41be9f643624decee22621	[ "Apache-2.0" ]	null	null	null	__init__.py	yamasampo/invasion	12e349d7a0f90017de41be9f643624decee22621	[ "Apache-2.0" ]	null	null	null	from . import population from . import settings from . import simulate	17.75	24	0.788732	9	71	6.222222	0.555556	0.535714	0	0	0	0	0	0	0	0	0	0	0.169014	71	3	25	23.666667	0.949153	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ff4171aecac8bc799aa1f122fcb019aa4fbe7993	65	py	Python	pyMusicSync/__init__.py	tuankiet65/pyMusicSync	98cfea6fa1efa82c35755d42832cd8db9f76e05f	[ "MIT" ]	2	2016-12-10T08:34:20.000Z	2017-05-02T11:57:58.000Z	pyMusicSync/__init__.py	tuankiet65/pyMusicSync	98cfea6fa1efa82c35755d42832cd8db9f76e05f	[ "MIT" ]	2	2016-12-10T08:34:54.000Z	2017-04-10T10:37:14.000Z	pyMusicSync/__init__.py	tuankiet65/pyMusicSync	98cfea6fa1efa82c35755d42832cd8db9f76e05f	[ "MIT" ]	null	null	null	import logging import pyMusicSync.config import pyMusicSync.sync	16.25	25	0.876923	8	65	7.125	0.625	0.596491	0	0	0	0	0	0	0	0	0	0	0.092308	65	3	26	21.666667	0.966102	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ff5a9d6a69e328bdbd09290d36faafc034940560	100	py	Python	lobotomy/_clients/__init__.py	rocketboosters/lobotomy	209817120d3a1fd11c218d2f243acbbdd17d8b0f	[ "MIT" ]	null	null	null	lobotomy/_clients/__init__.py	rocketboosters/lobotomy	209817120d3a1fd11c218d2f243acbbdd17d8b0f	[ "MIT" ]	null	null	null	lobotomy/_clients/__init__.py	rocketboosters/lobotomy	209817120d3a1fd11c218d2f243acbbdd17d8b0f	[ "MIT" ]	null	null	null	from ._casting import InternalStreamer # noqa: F401 from ._definitions import Client # noqa: F401	33.333333	52	0.78	12	100	6.333333	0.666667	0.210526	0	0	0	0	0	0	0	0	0	0.071429	0.16	100	2	53	50	0.833333	0.21	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ff660035051a23a883afffd6c8ae1d7ed5c85946	32,466	py	Python	endpoints/campaign_endpoint.py	iTecAI/XL3	17cc30288d6d5f53e5a269c3bff619cb65f6e1d1	[ "MIT" ]	null	null	null	endpoints/campaign_endpoint.py	iTecAI/XL3	17cc30288d6d5f53e5a269c3bff619cb65f6e1d1	[ "MIT" ]	null	null	null	endpoints/campaign_endpoint.py	iTecAI/XL3	17cc30288d6d5f53e5a269c3bff619cb65f6e1d1	[ "MIT" ]	null	null	null	from pickle import load from endpoints.character_endpoint import decache from fastapi import APIRouter, status, Request, Response from util import * from classes import * from _runtime import server, CONFIG import logging, random, hashlib from pydantic import BaseModel from models import * from _api import * import os, pickle, time from urllib.parse import urlparse import re logger = logging.getLogger("uvicorn.error") router = APIRouter() def check_access(fp,cid): with open(os.path.join('database','campaigns','registry.json'),'r') as f: reg = json.load(f) for i in reg.keys(): if i in server.connections[fp].user.owned_campaigns or i in server.connections[fp].user.participating_campaigns: with open(os.path.join('database','campaigns',i+'.pkl'),'rb') as f: server.campaigns[i] = pickle.load(f) if cid in reg.keys() and cid in server.campaigns.keys(): with open(os.path.join('database','campaigns',cid+'.pkl'),'rb') as f: server.campaigns[cid] = pickle.load(f) return cid in server.connections[fp].user.owned_campaigns or cid in server.connections[fp].user.participating_campaigns else: return False @router.post('/new/',responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':NewCampaignModel,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.', 'owned_campaigns':[ { 'id':'id', 'owner':'owner ID', 'name':'name', 'characters':'character ids', 'settings':'settings dict', 'maps':'dict of maps', 'homebrew':'list of homebrew creatures' } ], 'new_campaign':{ 'id':'id', 'owner':'owner ID', 'name':'name', 'characters':'character ids', 'settings':'settings dict', 'maps':'dict of maps', 'homebrew':'list of homebrew creatures' } }}}} }) async def new_campaign(fingerprint: str, model: NewCampaignModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} if len(server.connections[fingerprint].user.owned_campaigns) < int(CONFIG['CAMPAIGNS']['max_campaigns']): logger.info(f'User {fingerprint} is creating a new campaign.') ncp = Campaign(server.connections[fingerprint].user.uid, model.name, model.password) server.connections[fingerprint].user.owned_campaigns.append(ncp.id) server.connections[fingerprint].user.participating_campaigns.append(ncp.id) server.campaigns[ncp.id] = ncp rd = { 'result':'Success.', 'owned_campaigns':[server.campaigns[i].to_json() for i in server.campaigns.keys() if server.campaigns[i].id in server.connections[fingerprint].user.owned_campaigns], 'new_campaign':ncp.to_json() } server.connections[fingerprint].user.update() server.campaigns[ncp.id].update() return rd else: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You have reached the maximum amount of campaigns.'} @router.post('/join/',responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':SimpleResult,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def join_campaign(fingerprint: str, model: JoinCampaignModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} if model.campaign in server.campaigns.keys(): if server.campaigns[model.campaign].password_protected: if server.campaigns[model.campaign].passhash == model.passhash: pass else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'Incorrect password.'} else: pass else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign not found.'} if not model.campaign in server.connections[fingerprint].user.participating_campaigns: server.connections[fingerprint].user.participating_campaigns.append(model.campaign) server.connections[fingerprint].user.update() server.campaigns[model.campaign].update() return {'result':'Success.'} @router.post('/check_password_protected/{campaign}/',responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':SimpleResult,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.', 'password_protected':'bool' }}}} }) async def passcheck_campaign(fingerprint: str, campaign: str, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} if campaign in server.campaigns.keys(): return {'result':'Success.','password_protected':server.campaigns[campaign].password_protected} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign not found.'} @router.get('/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':MultipleCampaignResponseModel,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.', 'owned_campaigns':[], 'participating_campaigns':[] }}}} }) async def get_campaigns(fingerprint: str, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} with open(os.path.join('database','campaigns','registry.json'),'r') as f: reg = json.load(f) for i in reg.keys(): if i in server.connections[fingerprint].user.owned_campaigns or i in server.connections[fingerprint].user.participating_campaigns: with open(os.path.join('database','campaigns',i+'.pkl'),'rb') as f: server.campaigns[i] = pickle.load(f) return { 'result':'Success.', 'owned_campaigns':[server.campaigns[i].to_json() for i in server.campaigns.keys() if server.campaigns[i].id in server.connections[fingerprint].user.owned_campaigns], 'participating_campaigns':[server.campaigns[i].to_json() for i in server.campaigns.keys() if server.campaigns[i].id in server.connections[fingerprint].user.participating_campaigns] } @router.post('/batch/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':MultipleCampaignResponseModel,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.', 'owned_campaigns':[], 'participating_campaigns':[] }}}} }) async def get_campaigns_batch(fingerprint: str, model: BatchModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} with open(os.path.join('database','campaigns','registry.json'),'r') as f: reg = json.load(f) for i in reg.keys(): if i in server.connections[fingerprint].user.owned_campaigns or i in server.connections[fingerprint].user.participating_campaigns: with open(os.path.join('database','campaigns',i+'.pkl'),'rb') as f: server.campaigns[i] = pickle.load(f) return { 'result':'Success.', 'owned_campaigns':[server.campaigns[i].to_json() for i in server.campaigns.keys() if server.campaigns[i].id in server.connections[fingerprint].user.owned_campaigns and server.campaigns[i].id in model.batch], 'participating_campaigns':[server.campaigns[i].to_json() for i in server.campaigns.keys() if server.campaigns[i].id in server.connections[fingerprint].user.participating_campaigns and server.campaigns[i].id in model.batch] } @router.get('/{campaign}/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view characters.'}}}}, 404: {'model':SimpleResult,'description':'Connection not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':CampaignResponseModel,'description':'Returns campaign data.','content':{'application/json':{'example':{ 'result':'Success.', 'campaign':{} }}}} }) async def get_campaign(fingerprint: str, campaign: str, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to create campaigns.'} if check_access(fingerprint,campaign): return { 'result':'Success.', 'campaign':server.campaigns[campaign].to_json() } else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign not found.'} @router.post('/{campaign}/delete/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection or Campaign not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':SimpleResult,'description':'Deletes campaign, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def delete_campaign(fingerprint: str, campaign: str, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to delete campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: logger.info(f'User {fingerprint} is deleting campaign with ID {campaign}.') for i in server.campaigns[campaign].maps.keys(): try: del_image(server.campaigns[campaign].maps[i]['image_id']) except KeyError: pass del server.campaigns[campaign] for u in list(server.users.keys()): load_user(u) if campaign in server.users[u].owned_campaigns: server.users[u].owned_campaigns.remove(campaign) if campaign in server.users[u].participating_campaigns: server.users[u].participating_campaigns.remove(campaign) server.users[u].update() with open(os.path.join('database','campaigns','registry.json'),'r') as f: reg = json.load(f) with open(os.path.join('database','campaigns','registry.json'),'w') as f: if campaign in reg.keys(): del reg[campaign] f.write(json.dumps(reg)) if os.path.exists(os.path.join('database','campaigns',campaign+'.pkl')): os.remove(os.path.join('database','campaigns',campaign+'.pkl')) for c in list(server.campaigns.keys()): server.campaigns[c].update() server.updates['campaigns'] = True server.connections[fingerprint].user.update() return {'result':'Success'} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign not found or you do not have ownership of it.'} @router.post('/{campaign}/add_character/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection or Campaign not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':SimpleResult,'description':'Adds character, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def add_character_to_campaign(fingerprint: str, campaign: str, model: AddCharacterToCmpModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage characters.'} if check_access(fingerprint,campaign) and model.charid in server.characters.keys(): if len(server.campaigns[campaign].characters) >= int(server.campaigns[campaign].settings['max_characters']['value']): response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':f'Exceeded maximum number of characters for campaign. Max: {server.campaigns[campaign].settings["max_characters"]["value"]}'} nc = [] for i in server.campaigns[campaign].characters: if i in server.characters.keys(): nc.append(i) if server.characters[i].owner == server.connections[fingerprint].user.uid: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You already own a character in this campaign.'} server.campaigns[campaign].characters = nc[:] if not model.charid in server.campaigns[campaign].characters: logger.info(f'User {fingerprint} is adding a character with ID {model.charid} to campaign with ID {campaign}.') decache(model.charid) server.campaigns[campaign].characters.append(model.charid) server.connections[fingerprint].user.update() server.campaigns[campaign].update() server.characters[model.charid].campaign = campaign server.characters[model.charid].update() server.characters[model.charid].cache() return {'result':'Success'} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign/Character not found or you do not have access to it.'} @router.post('/{campaign}/remove_character/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection or Campaign not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 200: {'model':SimpleResult,'description':'Removes character, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def remove_character_from_campaign(fingerprint: str, campaign: str, model: AddCharacterToCmpModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage characters.'} if check_access(fingerprint,campaign): if model.charid in server.campaigns[campaign].characters: decache(model.charid) server.campaigns[campaign].characters.remove(model.charid) server.connections[fingerprint].user.update() server.campaigns[campaign].update() server.characters[model.charid].campaign = '' server.characters[model.charid].update() server.characters[model.charid].cache() logger.info(f'User {fingerprint} is removing a character with ID {model.charid} from campaign with ID {campaign}.') return {'result':'Success'} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Character not found or it is not present in this campaign.'} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Campaign not found or you do not have access to it.'} @router.post('/{campaign}/setting/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection, Campaign, or Setting not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 403: {'model':SimpleResult,'description':'Not allowed to modify campaign.','content':{'application/json':{'example':{'result':'You do not own this campaign.'}}}}, 200: {'model':SimpleResult,'description':'Changes setting, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def modify_campaign_settings(fingerprint: str, campaign: str, model: CampaignSettingChangeModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: try: if model.name in server.campaigns[campaign].settings.keys(): if ( type(model.value) == int and server.campaigns[campaign].settings[model.name]['type'] == 'int' and server.campaigns[campaign].settings[model.name]['value'] >= server.campaigns[campaign].settings[model.name]['min'] and server.campaigns[campaign].settings[model.name]['value'] <= server.campaigns[campaign].settings[model.name]['max'] ): server.campaigns[campaign].settings[model.name]['value'] = model.value elif type(model.value) == bool and server.campaigns[campaign].settings[model.name]['type'] == 'bool': server.campaigns[campaign].settings[model.name]['value'] = model.value elif type(model.value) == str and server.campaigns[campaign].settings[model.name]['type'] == 'str': server.campaigns[campaign].settings[model.name]['value'] = model.value else: response.status_code = status.HTTP_400_BAD_REQUEST return {'result': 'Bad value. Given setting: {setting}. Given value: [{value}] of type {vtype}. Setting parameters: {sparams}'.format( setting=model.name, value=model.value, vtype=str(type(model.value)), sparams=json.dumps(server.campaigns[campaign].settings[model.name]) ) } logger.info('User {fp} changed setting "{setting}" to "{value}" (type {vtype}) in campaign {cmp}.'.format( setting=model.name, value=model.value, vtype=str(type(model.value)), fp=fingerprint, cmp=campaign )) if model.name in ['variant_encumbrance','coin_weight','roll_hp']: for c in server.campaigns[campaign].characters: server.characters[c].options[model.name] = model.value server.characters[c].cache() server.characters[c].update() except Exception as e: response.status_code = status.HTTP_400_BAD_REQUEST return {'result': 'Bad value, caused exception [{exc}]. Given setting: {setting}. Given value: [{value}] of type {vtype}. Setting parameters: {sparams}'.format( exc=str(e), setting=model.name, value=model.value, vtype=str(type(model.value)), sparams=json.dumps(server.campaigns[campaign].settings[model.name]) ) } server.campaigns[campaign].update() else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'You do not own this campaign.'} @router.post('/{campaign}/maps/add/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection, Campaign, or Setting not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 403: {'model':SimpleResult,'description':'Not allowed to modify campaign.','content':{'application/json':{'example':{'result':'You do not own this campaign.'}}}}, 200: {'model':SimpleResult,'description':'Adds map, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def add_map_to_campaign(fingerprint: str, campaign: str, model: AddMapToCmpModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: if len(server.campaigns[campaign].maps.keys()) >= int(CONFIG['CAMPAIGNS']['maps_per_campaign']): response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':f"You have reached the maximum number of maps: {CONFIG['CAMPAIGNS']['maps_per_campaign']}"} try: iid = add_image(model.data) except ValueError: response.status_code = status.HTTP_400_BAD_REQUEST return {'result':'You must use a .png or .jpeg image.'} except Exception as e: response.status_code = status.HTTP_400_BAD_REQUEST return {'result':'Malformed data URI, please check image. Error: '+str(e)} server.campaigns[campaign].maps[iid] = { 'image_id':iid, 'obscuration':{}, 'entities':{}, 'grid':{ 'columns':model.columns, 'rows':model.rows, 'size':model.gridsize }, 'name':model.name, 'chat':[], 'initiative':{ 'running':False, 'order':{}, 'current':None, 'started':False } } server.campaigns[campaign].update() return {'result':'Success.'} else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'You do not own this campaign.'} @router.post('/{campaign}/maps/remove/{map}', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection, Campaign, or Setting not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 403: {'model':SimpleResult,'description':'Not allowed to modify campaign.','content':{'application/json':{'example':{'result':'You do not own this campaign.'}}}}, 200: {'model':SimpleResult,'description':'Adds map, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def remove_map_from_campaign(fingerprint: str, campaign: str, map: str, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: if map in server.campaigns[campaign].maps.keys(): try: del server.campaigns[campaign].maps[map] del_image(map) except KeyError: pass server.campaigns[campaign].update() else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Map not found.'} else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'You do not own this campaign.'} @router.post('/{campaign}/homebrew/add/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to create campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection, Campaign, or Setting not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 403: {'model':SimpleResult,'description':'Not allowed to modify campaign.','content':{'application/json':{'example':{'result':'You do not own this campaign.'}}}}, 200: {'model':SimpleResult,'description':'Adds HB, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def add_homebrew_to_campaign(fingerprint: str, campaign: str, model: NewHomebrewModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: try: meta, dat = get_critterdb(model.url) server.campaigns[campaign].homebrew[secrets.token_urlsafe(32)] = { 'name':meta['name'], 'db_id':meta['_id'], 'creatures':dat } except ValueError: response.status_code = status.HTTP_400_BAD_REQUEST return {'result':'Malformed URL. URLs should look like: https://critterdb.com:443/#/bestiary/view/5f2f1e0e8b3e3b3d0d48a050'} except PermissionError: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Creature or Bestiary cannot be accessed, it may not be shared or may not exist.'} server.campaigns[campaign].update() return {'result':'Success.'} else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'You do not own this campaign.'} @router.post('/{campaign}/homebrew/remove/', responses={ 405: {'model':SimpleResult,'description':'You must be logged in to modify campaigns.','content':{'application/json':{'example':{'result':'You must be logged in to view campaigns.'}}}}, 404: {'model':SimpleResult,'description':'Connection, Campaign not found','content':{'application/json':{'example':{'result':'Connection not found for user.'}}}}, 403: {'model':SimpleResult,'description':'Not allowed to modify campaign.','content':{'application/json':{'example':{'result':'You do not own this campaign.'}}}}, 200: {'model':SimpleResult,'description':'Removes HB, returns success.','content':{'application/json':{'example':{ 'result':'Success.' }}}} }) async def remove_homebrew_from_campaign(fingerprint: str, campaign: str, model: DelHomebrewModel, response: Response): if not fingerprint in server.connections.keys(): response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Connection not found for user.'} if not server.connections[fingerprint].logged_in: response.status_code = status.HTTP_405_METHOD_NOT_ALLOWED return {'result':'You must be logged in to manage campaigns.'} if check_access(fingerprint,campaign) and campaign in server.connections[fingerprint].user.owned_campaigns: if model.hid in server.campaigns[campaign].homebrew.keys(): del server.campaigns[campaign].homebrew[model.hid] server.campaigns[campaign].update() return {'result':'Success.'} else: response.status_code = status.HTTP_404_NOT_FOUND return {'result':'Bestiary not found.'} else: response.status_code = status.HTTP_403_FORBIDDEN return {'result':'You do not own this campaign.'}	59.244526	230	0.656502	3,756	32,466	5.580405	0.071086	0.028626	0.045515	0.060687	0.848903	0.819561	0.800573	0.754151	0.739074	0.731059	0	0.0123	0.201195	32,466	548	231	59.244526	0.795905	0	0.61597	0	0.013308	0.299689	0.012105	0	0	0	0	0	1	0.001901	false	0.022814	0.024715	0	0.153992	0.142586	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
441c30c46389146344e31b10a9c3e0c866bda0a8	115	py	Python	templategen.py	JJL772/ek9000-util	73d919a8f820e00733c5c7687eb74d6c08371557	[ "BSD-3-Clause-LBNL" ]	null	null	null	templategen.py	JJL772/ek9000-util	73d919a8f820e00733c5c7687eb74d6c08371557	[ "BSD-3-Clause-LBNL" ]	null	null	null	templategen.py	JJL772/ek9000-util	73d919a8f820e00733c5c7687eb74d6c08371557	[ "BSD-3-Clause-LBNL" ]	null	null	null	#!/usr/bin/python3 # # Utility script to generate a bunch of template/subs # import EpicsTk, sys, os, argparse	11.5	53	0.713043	17	115	4.823529	1	0	0	0	0	0	0	0	0	0	0	0.010638	0.182609	115	9	54	12.777778	0.861702	0.6	0	1	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
44276cb533f7416e29648edd48fe6d04a73dd6c5	173	py	Python	mayan/apps/documents/runtime.py	Dave360-crypto/mayan-edms	9cd37537461347f79ff0429e4b8b16fd2446798d	[ "Apache-2.0" ]	3	2020-02-03T11:58:51.000Z	2020-10-20T03:52:21.000Z	mayan/apps/documents/runtime.py	Dave360-crypto/mayan-edms	9cd37537461347f79ff0429e4b8b16fd2446798d	[ "Apache-2.0" ]	null	null	null	mayan/apps/documents/runtime.py	Dave360-crypto/mayan-edms	9cd37537461347f79ff0429e4b8b16fd2446798d	[ "Apache-2.0" ]	2	2020-10-24T11:10:06.000Z	2021-03-03T20:05:38.000Z	from __future__ import absolute_import from common.utils import load_backend from .conf.settings import STORAGE_BACKEND storage_backend = load_backend(STORAGE_BACKEND)()	21.625	49	0.849711	23	173	5.956522	0.478261	0.306569	0.306569	0	0	0	0	0	0	0	0	0	0.104046	173	7	50	24.714286	0.883871	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.75	0	0.75	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
44536cff167113f50e4a07f83de8425679fe6ff4	136	py	Python	scripts/npc/autogen_test1.py	doriyan13/doristory	438caf3b123922da3f5f3b16fcc98a26a8ab85ce	[ "MIT" ]	null	null	null	scripts/npc/autogen_test1.py	doriyan13/doristory	438caf3b123922da3f5f3b16fcc98a26a8ab85ce	[ "MIT" ]	null	null	null	scripts/npc/autogen_test1.py	doriyan13/doristory	438caf3b123922da3f5f3b16fcc98a26a8ab85ce	[ "MIT" ]	null	null	null	# ObjectID: 1000006 # ParentID: 9090008 # Character field ID when accessed: 180000000 # Object Position Y: -93 # Object Position X: -71	22.666667	45	0.742647	18	136	5.611111	0.888889	0.277228	0	0	0	0	0	0	0	0	0	0.238938	0.169118	136	5	46	27.2	0.654867	0.919118	null	0	null	0	0	null	0	0	0	null	1	null	true	0	0	null	null	null	1	0	0	null	1	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	0	0	null	0	0	0	0	0	1	0	0	0	0	0	6
923baa64119f3a451d7c3da0d3d112059c577e1f	108	py	Python	app/main/__init__.py	Saitore973/blog_app	2f9f4fd1498260c25049fd79e16dc595a1cd0219	[ "MIT" ]	null	null	null	app/main/__init__.py	Saitore973/blog_app	2f9f4fd1498260c25049fd79e16dc595a1cd0219	[ "MIT" ]	null	null	null	app/main/__init__.py	Saitore973/blog_app	2f9f4fd1498260c25049fd79e16dc595a1cd0219	[ "MIT" ]	null	null	null	from flask import Blueprint #create blueprint main=Blueprint('main', __name__) from . import views, errors	18	32	0.787037	14	108	5.785714	0.642857	0.320988	0	0	0	0	0	0	0	0	0	0	0.12963	108	5	33	21.6	0.861702	0.148148	0	0	0	0.043956	0	0	0	0	0	0	1	0	false	0	0.666667	0	0.666667	0.666667	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	1	6
2b9f4aa24d07524f15fc458967775b915cc72f5c	26,604	py	Python	tests/communities/test_thread.py	powerblossom/workcloud	fd943220366ebeadfa90c59fc395f84a734b5686	[ "MIT" ]	1	2019-10-18T05:57:13.000Z	2019-10-18T05:57:13.000Z	tests/communities/test_thread.py	powerblossom/workcloud	fd943220366ebeadfa90c59fc395f84a734b5686	[ "MIT" ]	11	2019-12-02T13:59:22.000Z	2021-04-24T08:52:19.000Z	tests/communities/test_thread.py	powerblossom/workcloud	fd943220366ebeadfa90c59fc395f84a734b5686	[ "MIT" ]	null	null	null	from core.response import Response from communities.tests import TestCase class ThreadPermissionTest(TestCase): def setUp(self): self.create_user(is_staff=True) def test_permission_inactive_forum(self): option = self.create_option(is_active=False) self.create_forum(option=option) self.create_thread(forum=self.forum) response = self.get( '/api/communities/f/%s/' % self.forum.name ) assert response.status_code == Response.HTTP_401 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test"' } ) assert response.status_code == Response.HTTP_401 response = self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert response.status_code == Response.HTTP_200 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test"' }, auth=True ) assert response.status_code == Response.HTTP_403 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, self.thread.id), { 'title': 'test patch', }, auth=True ) assert response.status_code == Response.HTTP_403 def test_permission_read_all_write_all(self): self.create_forum() response = self.get( '/api/communities/f/%s/' % self.forum.name ) assert response.status_code == Response.HTTP_200 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'name': 'tester', 'title': 'test', 'content': 'test content', } ) assert response.status_code == Response.HTTP_201 thread_id = self.data.get('id') response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id) ) assert response.status_code == Response.HTTP_200 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' } ) assert response.status_code == Response.HTTP_403 response = self.delete( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id) ) assert response.status_code == Response.HTTP_403 def test_permission_read_all_write_member(self): option = self.create_option(permission_write='member') self.create_forum(option=option) self.create_user(username='ee@a.com') response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'name': 'tester', 'title': 'test', 'content': 'test content', } ) assert response.status_code == Response.HTTP_401 response = self.get( '/api/communities/f/%s/' % self.forum.name ) assert response.status_code == Response.HTTP_200 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test content', }, auth=True ) assert response.status_code == Response.HTTP_201 thread_id = self.data.get('id') response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id) ) assert response.status_code == Response.HTTP_200 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' }, ) assert response.status_code == Response.HTTP_401 response = self.delete( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), ) assert response.status_code == Response.HTTP_401 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' }, auth=True ) assert response.status_code == Response.HTTP_200 response = self.delete( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_200 def test_permission_read_member_write_member(self): option = self.create_option( permission_read='member', permission_write='member' ) self.create_forum(option=option) self.create_user(username='ee@a.com') response = self.get( '/api/communities/f/%s/' % self.forum.name ) assert response.status_code == Response.HTTP_401 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'name': 'tester', 'title': 'test', 'content': 'test content', }, auth=True ) assert response.status_code == Response.HTTP_201 thread_id = self.data.get('id') response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id) ) assert response.status_code == Response.HTTP_401 response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_200 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' }, auth=True ) assert response.status_code == Response.HTTP_200 response = self.delete( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_200 def test_permission_read_staff_write_staff_by_member(self): option = self.create_option( permission_read='staff', permission_write='staff' ) self.create_forum(option=option) response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test content', }, auth=True ) assert response.status_code == Response.HTTP_201 thread_id = self.data.get('id') self.create_user(username='eee@a.com') response = self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert response.status_code == Response.HTTP_403 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test content', }, auth=True ) assert response.status_code == Response.HTTP_403 response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_403 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' }, auth=True ) assert response.status_code == Response.HTTP_403 def test_permission_read_staff_write_staff_by_staff(self): option = self.create_option( permission_read='staff', permission_write='staff' ) self.create_forum(option=option) response = self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert response.status_code == Response.HTTP_200 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'test content', }, auth=True ) assert response.status_code == Response.HTTP_201 thread_id = self.data.get('id') response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_200 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'tested' }, auth=True ) assert response.status_code == Response.HTTP_200 def test_permission_trash(self): self.create_forum() self.create_user(username='m@a.com') response = self.get( '/api/communities/f/%s/trash/' % self.forum.name ) assert response.status_code == Response.HTTP_401 response = self.get( '/api/communities/f/%s/trash/' % self.forum.name, auth=True ) assert response.status_code == Response.HTTP_403 class ThreadModelTest(TestCase): def setUp(self): self.create_user(username='user@a.com', is_staff=True) self.create_forum() def test_thread_write_edit_delete(self): response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'content' }, auth=True ) assert ( response.status_code == Response.HTTP_201 and self.data.get('title') == 'test' and self.data.get('content') == 'content' and self.data.get('forum').get('id') == self.forum.id and self.data.get('user').get('username') == self.user.username ) thread_id = self.data.get('id') response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'title': 'test2', 'content': 'content2' }, auth=True ) assert ( response.status_code == Response.HTTP_200 and self.data.get('title') == 'test2' and self.data.get('content') == 'content2' and self.data.get('forum').get('id') == self.forum.id and self.data.get('user').get('username') == self.user.username ) response = self.delete( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_200 response = self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert ( response.status_code == Response.HTTP_200 and self.data.get('is_deleted') ) def test_write_thread_with_user_or_name(self): response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'content' }, ) assert response.status_code == Response.HTTP_400 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'content' }, auth=True ) assert ( response.status_code == Response.HTTP_201 and not self.data.get('name') and self.data.get('user').get('username') == 'user@a.com' ) response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'name': 'user', 'title': 'test', 'content': 'content' }, ) assert ( response.status_code == Response.HTTP_201 and self.data.get('name') == 'user' and not self.data.get('user') ) def test_thread_date_or_time(self): self.create_thread() response = self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) date_or_time = self.data.get('threads')[0].get('date_or_time') assert ( response.status_code == Response.HTTP_200 and self.thread.date_or_time() == date_or_time ) def test_thread_has_permission(self): self.create_user(username='2@a.com') self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'content' }, auth=True ) thread_id = self.data.get('id') self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert self.data.get('has_permission') self.create_user(username='3@a.com') self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert not self.data.get('has_permission') self.create_user(username='4@a.com', is_staff=True) self.get( '/api/communities/f/%s/read/%d/' % (self.forum.name, thread_id), auth=True ) assert self.data.get('has_permission') def test_thread_pin_unpin(self): self.create_user(username='5@a.com') response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': 'content', 'is_pinned': True }, auth=True ) assert ( response.status_code == Response.HTTP_201 and not self.data.get('is_pinned') ) thread_id = self.data.get('id') response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, thread_id), { 'is_pinned': True }, auth=True ) assert ( response.status_code == Response.HTTP_200 and not self.data.get('is_pinned') ) response = self.post( '/api/communities/f/%s/%d/pin/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_403 response = self.post( '/api/communities/f/%s/%d/unpin/' % (self.forum.name, thread_id), auth=True ) assert response.status_code == Response.HTTP_403 self.create_user(username='6@a.com', is_staff=True) response = self.post( '/api/communities/f/%s/%d/pin/' % (self.forum.name, thread_id), auth=True ) assert ( response.status_code == Response.HTTP_200 and self.data.get('is_pinned') ) response = self.post( '/api/communities/f/%s/%d/unpin/' % (self.forum.name, thread_id), auth=True ) assert ( response.status_code == Response.HTTP_200 and not self.data.get('is_pinned') ) class ThreadWriteException(TestCase): def setUp(self): self.create_user(is_staff=True) self.create_forum() def test_write_thread_null(self): response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': '', 'content': 'content' }, ) assert response.status_code == Response.HTTP_400 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': None, 'content': 'content' }, ) assert response.status_code == Response.HTTP_400 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': '' }, ) assert response.status_code == Response.HTTP_400 response = self.post( '/api/communities/f/%s/write/' % self.forum.name, { 'title': 'test', 'content': None }, ) assert response.status_code == Response.HTTP_400 def test_edit_thread_null(self): self.create_thread() response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, self.thread.id), { 'title': '', 'content': 'content2' }, auth=True ) assert response.status_code == Response.HTTP_400 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, self.thread.id), { 'title': None, 'content': 'content2' }, auth=True ) assert response.status_code == Response.HTTP_400 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, self.thread.id), { 'title': 'test2', 'content': '' }, auth=True ) assert response.status_code == Response.HTTP_400 response = self.patch( '/api/communities/f/%s/%d/' % (self.forum.name, self.thread.id), { 'title': 'test2', 'content': None }, auth=True ) assert response.status_code == Response.HTTP_400 class ThreadListTest(TestCase): def setUp(self): self.create_user(is_staff=True) self.create_forum() def test_thread_list(self): sample_title = [ 'black', 'white', 'red', 'blue', 'purple', ] sample_content = [ 'cat', 'blacktiger', 'dragon', 'fish', 'snake', ] thread_list = [] for index in range(5): thread = self.create_thread( title=sample_title[index], content=sample_content[index] ) thread_list.append(thread) self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) for index, thread in enumerate(reversed(thread_list)): assert ( thread.id == self.data.get('threads')[index].get('id') and thread.title == self.data.get('threads')[index].get('title') ) assert ( self.data.get('forum').get('id') == self.forum.id and self.data.get('forum').get('name') == self.forum.name and self.data.get('forum').get('title') == self.forum.title ) response = self.get( '/api/communities/f/%s/?q=black' % self.forum.name, auth=True ) assert ( response.status_code == Response.HTTP_200 and len(self.data) == 2 and self.data.get('threads')[1].get('title') == 'black' and self.data.get('threads')[0].get('title') == 'white' ) trash = self.data.get('threads')[0] self.delete( '/api/communities/f/%s/%d/' % ( self.forum.name, self.data.get('threads')[0].get('id') ), auth=True ) self.get( '/api/communities/f/%s/?q=black' % self.forum.name, auth=True ) assert ( len(self.data.get('threads')) == 1 and self.data.get('threads')[0].get('title') == 'black' ) response = self.get( '/api/communities/f/%s/trash/' % self.forum.name, auth=True ) assert ( response.status_code == Response.HTTP_200 and len(self.data.get('threads')) == 1 and self.data.get('threads')[0].get('title') == trash.get('title') ) response = self.post( '/api/communities/f/%s/%d/restore/' % ( self.forum.name, trash.get('id') ), auth=True ) assert ( response.status_code == Response.HTTP_200 and self.data.get('id') == trash.get('id') and self.data.get('title') == trash.get('title') and not self.data.get('is_deleted') ) class ThreadPermissionFieldTest(TestCase): def setUp(self): self.create_user(is_staff=True) def test_permission_all(self): option = self.create_option( permission_write='all', permission_reply='all' ) self.create_forum(option=option) self.create_thread() self.get( '/api/communities/f/%s/' % self.forum.name ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ) ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ), auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) def test_permission_member(self): option = self.create_option( permission_write='member', permission_reply='member' ) self.create_forum(option=option) self.create_thread() self.get( '/api/communities/f/%s/' % self.forum.name ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ) ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) self.create_user(username='member@a.com') self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ), auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) def test_permission_staff(self): option = self.create_option( permission_write='staff', permission_reply='staff' ) self.create_forum(option=option) self.create_thread() self.get( '/api/communities/f/%s/' % self.forum.name ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ) ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ), auth=True ) assert ( self.data.get('forum').get('permission_write') and self.data.get('forum').get('permission_reply') ) self.create_user(username='member@a.com') self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) self.get( '/api/communities/f/%s/read/%d/' % ( self.forum.name, self.thread.id ), auth=True ) assert ( not self.data.get('forum').get('permission_write') and not self.data.get('forum').get('permission_reply') ) class ThreadPinTest(TestCase): def setUp(self): self.create_user(is_staff=True) self.create_forum() self.create_thread(title='pin me') def test_thread_pin_list(self): pin_thread = self.thread self.create_thread(title='stay me unpinned') self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( self.data.get('threads')[1].get('title') == 'pin me' and self.data.get('threads')[0].get('title') == 'stay me unpinned' ) self.post( '/api/communities/f/%s/%d/pin/' % (self.forum.name, pin_thread.id), auth=True ) self.get( '/api/communities/f/%s/' % self.forum.name, auth=True ) assert ( self.data.get('threads')[0].get('title') == 'pin me' and self.data.get('threads')[1].get('title') == 'stay me unpinned' )	30.095023	79	0.49985	2,811	26,604	4.605478	0.041622	0.062568	0.085355	0.103816	0.918199	0.887147	0.871157	0.852541	0.832844	0.802256	0	0.012247	0.3616	26,604	883	80	30.129105	0.75	0	0.610825	0	0	0.160089	0.08416	0	0	0	0	0.10567	1	0.032216	false	0	0.002577	0	0.042526	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
92140c9cd218493f8bd22a34913fb5d028d477a0	155	py	Python	app/__init__.py	jasparkatt/flask_fishing	3b55a8b1ebdccdfd908ab5ef2658d1958b4f0a2d	[ "MIT" ]	1	2021-02-01T20:21:22.000Z	2021-02-01T20:21:22.000Z	app/__init__.py	jasparkatt/flask_fishing	3b55a8b1ebdccdfd908ab5ef2658d1958b4f0a2d	[ "MIT" ]	1	2020-11-12T02:10:58.000Z	2020-11-14T02:40:11.000Z	app/__init__.py	jasparkatt/flask_fishing	3b55a8b1ebdccdfd908ab5ef2658d1958b4f0a2d	[ "MIT" ]	null	null	null	import os from flask import Flask app = Flask(__name__) from app import views from app import admin_views from app import database from app import maps	14.090909	27	0.8	26	155	4.576923	0.384615	0.235294	0.436975	0.302521	0	0	0	0	0	0	0	0	0.180645	155	10	28	15.5	0.937008	0	0	0	0	0	0	0	0	0	0	0	1	0	false	0	0.857143	0	0.857143	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
9216bf2dee9470110e03260d8ea30781d5112555	294	py	Python	tests/conftest.py	samnimoh/pydapper	28e02a82339c4373aae043483868c84946e4aca9	[ "MIT" ]	19	2022-01-19T15:30:57.000Z	2022-03-10T15:15:56.000Z	tests/conftest.py	samnimoh/pydapper	28e02a82339c4373aae043483868c84946e4aca9	[ "MIT" ]	17	2022-01-19T06:23:35.000Z	2022-03-06T17:09:25.000Z	tests/conftest.py	samnimoh/pydapper	28e02a82339c4373aae043483868c84946e4aca9	[ "MIT" ]	2	2022-02-05T02:18:02.000Z	2022-02-17T08:39:54.000Z	from pathlib import Path import pytest @pytest.fixture(scope="session") def setup_sql_dir(): return Path(__file__).parent / "databases" @pytest.fixture(scope="session") def database_name(): return f"pydapper" @pytest.fixture(scope="session") def server(): return "localhost"	15.473684	46	0.721088	37	294	5.540541	0.594595	0.190244	0.263415	0.365854	0.409756	0	0	0	0	0	0	0	0.142857	294	18	47	16.333333	0.813492	0	0.272727	0	0	0.159864	0	0	0	0	0	0	1	0.272727	true	0	0.181818	0.272727	0.727273	0	0	0	0	null	0	1	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	1	0	0	1	1	0	6
a63c0883450f937afea18d6d2e21827b0562fa73	1,518	py	Python	BPt/extensions/tests/test_residualizer.py	sahahn/BPt	1a2967f4ca3fa070b7417a4f59a218ae171daadd	[ "MIT" ]	6	2020-11-06T15:45:28.000Z	2022-03-08T19:15:35.000Z	BPt/extensions/tests/test_residualizer.py	sahahn/BPt	1a2967f4ca3fa070b7417a4f59a218ae171daadd	[ "MIT" ]	14	2020-10-20T13:55:23.000Z	2022-01-25T17:36:07.000Z	BPt/extensions/tests/test_residualizer.py	sahahn/BPt	1a2967f4ca3fa070b7417a4f59a218ae171daadd	[ "MIT" ]	2	2020-10-23T19:48:53.000Z	2020-11-06T15:46:04.000Z	import pandas as pd from ..residualizer import LinearResidualizer from sklearn.preprocessing import OneHotEncoder from sklearn.linear_model import LinearRegression import numpy as np def test_base(): covars = pd.DataFrame() covars['1'] = [1, 1, 1] covars['2'] = [1, 2, 3] covars['2'] = covars['2'].astype('category') model = LinearResidualizer(to_resid_df=covars, demean=True, dummy_code=True) X = np.ones((3, 5)) model.fit(X, fit_index=[0, 1, 2]) assert len(model.means_) == 3 # Mean of all 1's col should be 1 assert model.means_[0] == 1 assert isinstance(model.encoder_, OneHotEncoder) assert isinstance(model.estimator_, LinearRegression) Xt = model.transform(X, transform_index=[0, 1, 2]) assert Xt.shape == (3, 5) def test_with_nans(): covars = pd.DataFrame() covars['1'] = [1, 1, 1] covars['2'] = [1, 2, 3] covars['2'] = covars['2'].astype('category') model = LinearResidualizer(to_resid_df=covars, demean=True, dummy_code=True) X = np.ones((3, 5)) X[0][0] = np.nan model.fit(X, fit_index=[0, 1, 2]) assert len(model.means_) == 3 # Mean of all 1's col should be 1 assert model.means_[0] == 1 assert isinstance(model.encoder_, OneHotEncoder) assert len(model.estimators_) == 5 Xt = model.transform(X, transform_index=[0, 1, 2]) assert Xt.shape == (3, 5)	25.728814	57	0.590909	207	1,518	4.227053	0.280193	0.013714	0.013714	0.036571	0.713143	0.713143	0.713143	0.713143	0.713143	0.713143	0	0.04792	0.27141	1,518	58	58	26.172414	0.743219	0.041502	0.736842	0	0	0.016529	0	0	0	0	0	0.263158	1	0.052632	false	0	0.131579	0	0.184211	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
a6401d0ba114cba9eb3d197ae4c7bf82d567db41	17	py	Python	multifil/__init__.py	akschroer/multifil	870201b3c759035e1df8689703412b4fabf548ee	[ "MIT" ]	1	2019-04-17T20:09:27.000Z	2019-04-17T20:09:27.000Z	multifil/__init__.py	akschroer/multifil	870201b3c759035e1df8689703412b4fabf548ee	[ "MIT" ]	1	2021-11-24T16:05:31.000Z	2021-11-24T16:05:31.000Z	multifil/__init__.py	akschroer/multifil	870201b3c759035e1df8689703412b4fabf548ee	[ "MIT" ]	3	2017-01-20T23:58:40.000Z	2019-04-19T15:55:10.000Z	from . import hs	8.5	16	0.705882	3	17	4	1	0	0	0	0	0	0	0	0	0	0	0	0.235294	17	1	17	17	0.923077	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
a6a44c62d5299962bcc99de326f811d0469d0d0f	4,961	py	Python	tests/test_examples.py	anthony-aylward/ftscursor	7d67e75c13f65f81f1c9b5b0444ac8fa4d0328e5	[ "MIT" ]	2	2021-01-10T22:46:36.000Z	2022-03-24T11:28:56.000Z	tests/test_examples.py	anthony-aylward/ftscursor	7d67e75c13f65f81f1c9b5b0444ac8fa4d0328e5	[ "MIT" ]	null	null	null	tests/test_examples.py	anthony-aylward/ftscursor	7d67e75c13f65f81f1c9b5b0444ac8fa4d0328e5	[ "MIT" ]	null	null	null	import pytest import sqlite3 from ftscursor import FTSCursor @pytest.fixture(scope="module") def example_connection(): conn = sqlite3.connect(':memory:') c = conn.cursor(factory=FTSCursor) c.attach_source_db(':memory:') c.executescript(''' CREATE TABLE source.posts(id INTEGER, title TEXT, body TEXT); INSERT INTO posts(id, title, body) VALUES (1, 'Learn SQlite FTS5', 'This tutorial teaches you how to perform full-text search in SQLite using FTS5'), (2, 'Advanced SQlite Full-text Search', 'Show you some advanced techniques in SQLite full-text searching'), (3, 'SQLite Tutorial', 'Help you learn SQLite quickly and effectively'); ''' ) c.index_all('posts', ('title', 'body')) return conn @pytest.fixture(scope="module") def example_connection_without_id(): conn = sqlite3.connect(':memory:') c = conn.cursor(factory=FTSCursor) c.attach_source_db(':memory:') c.executescript(''' CREATE TABLE source.posts(id INTEGER, title TEXT, body TEXT); INSERT INTO posts(title, body) VALUES ('Learn SQlite FTS5', 'This tutorial teaches you how to perform full-text search in SQLite using FTS5'), ('Advanced SQlite Full-text Search', 'Show you some advanced techniques in SQLite full-text searching'), ('SQLite Tutorial', 'Help you learn SQLite quickly and effectively'); ''' ) c.index_all('posts', ('title', 'body')) return conn def test_validate_names(example_connection): c = example_connection.cursor(factory=FTSCursor) c.validate_table_name('posts') c.validate_column_names('posts', 'id', 'title', 'body') def test_validate_names_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) c.validate_table_name('posts') c.validate_column_names('posts', 'title', 'body') def test_fts5(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'fts5')) == (1,) def test_fts5_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'fts5')) == (1,) def test_learn(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn SQLite')) == ( (3, 1) if c.default_fts_version == 5 else (1, 3) ) def test_learn_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn SQLite')) == ( (3, 1) if c.default_fts_version == 5 else (1, 3) ) def test_not(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn NOT text')) == (3,) def test_not_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn NOT text')) == (3,) def test_or(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn OR text')) == ( (3, 1, 2) if c.default_fts_version == 5 else (3, 2, 1) ) def test_or_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'learn OR text')) == ( (3, 1, 2) if c.default_fts_version == 5 else (3, 2, 1) ) def test_and(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'sqlite AND searching')) == (2,) def test_and_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'sqlite AND searching')) == (2,) def test_precedence(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'search AND sqlite OR help')) == ( (3, 2, 1) if c.default_fts_version == 5 else (2, 1, 3) ) def test_precedence_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'search AND sqlite OR help')) == ( (3, 2, 1) if c.default_fts_version == 5 else (2, 1, 3) ) def test_paren(example_connection): c = example_connection.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'search AND (sqlite OR help)')) == (2, 1) def test_paren_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) assert tuple(c.search('posts', 'search AND (sqlite OR help)')) == (2, 1) def test_detach(example_connection): c = example_connection.cursor(factory=FTSCursor) c.detach_source_db() def test_detach_without_id(example_connection_without_id): c = example_connection_without_id.cursor(factory=FTSCursor) c.detach_source_db()	35.184397	115	0.700665	675	4,961	4.936296	0.118519	0.193878	0.132053	0.148259	0.92587	0.92587	0.92587	0.891056	0.891056	0.863145	0	0.015081	0.171336	4,961	140	116	35.435714	0.795427	0	0.601942	0	0.038835	0.261842	0	0	0	0	0	0.135922	1	0.194175	false	0	0.029126	0	0.242718	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
47072394cb02e4010521f224d49aed9cccb51609	1,606	py	Python	tests/test_sort.py	atviriduomenys/spinta	77a10e201f8cdc63143fce7996fd0898acb1ff58	[ "MIT" ]	2	2019-03-14T06:41:14.000Z	2019-03-26T11:48:14.000Z	tests/test_sort.py	sirex/spinta	77a10e201f8cdc63143fce7996fd0898acb1ff58	[ "MIT" ]	44	2019-04-05T15:52:45.000Z	2022-03-30T07:41:33.000Z	tests/test_sort.py	sirex/spinta	77a10e201f8cdc63143fce7996fd0898acb1ff58	[ "MIT" ]	1	2019-04-01T09:54:27.000Z	2019-04-01T09:54:27.000Z	import pytest @pytest.mark.models( 'backends/mongo/report', 'backends/postgres/report', ) def test_sort(model, app): app.authmodel(model, ['insert', 'search']) resp = app.post('/', json={'_data': [ {'_op': 'insert', '_type': model, 'count': 10}, {'_op': 'insert', '_type': model, 'count': 9}, ]}) assert resp.status_code == 200, resp.json() resp = app.get(f'/{model}?select(count)&sort(+count)') assert resp.json()['_data'] == [ {'count': 9}, {'count': 10}, ] resp = app.get(f'/{model}?select(count)&sort(-count)') assert resp.json()['_data'] == [ {'count': 10}, {'count': 9}, ] resp = app.get(f'/{model}?select(_id)&sort(+_id)') ids = [i["_id"] for i in resp.json()['_data']] assert sorted(ids) == ids @pytest.mark.models( 'backends/mongo/report', 'backends/postgres/report', ) def test_sort_with_nested_prop(model, app): app.authmodel(model, ['insert', 'search']) resp = app.post('/', json={'_data': [ {'_op': 'insert', '_type': model, 'notes': [{'note': '01'}]}, {'_op': 'insert', '_type': model, 'notes': [{'note': '02'}]}, ]}) assert resp.status_code == 200, resp.json() resp = app.get(f'/{model}?select(notes.note)&sort(+notes.note)') assert resp.json()['_data'] == [ {'notes': [{'note': '01'}]}, {'notes': [{'note': '02'}]}, ] resp = app.get(f'/{model}?select(notes.note)&sort(-notes.note)') assert resp.json()['_data'] == [ {'notes': [{'note': '02'}]}, {'notes': [{'note': '01'}]}, ]	28.175439	69	0.521793	191	1,606	4.256545	0.235602	0.110701	0.061501	0.067651	0.846248	0.813038	0.742927	0.742927	0.742927	0.742927	0	0.021497	0.217933	1,606	56	70	28.678571	0.625796	0	0.565217	0	0	0.309465	0.174969	0	0	0	0	0.152174	1	0.043478	false	0	0.021739	0	0.065217	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
5b476f443ac1615cc930a88e6ed431d6ca48b47b	1,850	py	Python	Pytorch_API/01torch.max.py	HuangCongQing/pytorch	2b2b01d74b45cbe4e467da229798609e79cec97c	[ "MIT" ]	12	2020-12-12T03:45:53.000Z	2022-02-25T03:31:50.000Z	Pytorch_API/01torch.max.py	HuangCongQing/pytorch	2b2b01d74b45cbe4e467da229798609e79cec97c	[ "MIT" ]	2	2019-03-03T11:40:11.000Z	2019-03-04T05:47:38.000Z	Pytorch_API/01torch.max.py	HuangCongQing/pytorch	2b2b01d74b45cbe4e467da229798609e79cec97c	[ "MIT" ]	7	2020-08-08T02:44:15.000Z	2022-01-23T00:03:16.000Z	''' Description: https://blog.csdn.net/weixin_43255962/article/details/84402586? Author: HCQ Company(School): UCAS Email: 1756260160@qq.com Date: 2021-06-16 16:19:46 LastEditTime: 2021-06-16 16:23:47 FilePath: /pytorch/Pytorch_API/01torch.max.py ''' import torch x = torch.rand(4,4) print('x:\n',x) print('torch.max(x,1):\n',torch.max(x,1)) print('torch.max(x,0):\n',torch.max(x,0)) print('torch.max(x,1)[0]:\n',torch.max(x,1)[0]) print('torch.max(x,1)[1]:\n',torch.max(x,1)[1]) print('torch.max(x,1)[1].data:\n',torch.max(x,1)[1].data) print('torch.max(x,1)[1].data.numpy():\n',torch.max(x,1)[1].data.numpy()) print('torch.max(x,1)[1].data.numpy().squeeze():\n',torch.max(x,1)[1].data.numpy().squeeze()) print('torch.max(x,1)[0].data:\n',torch.max(x,1)[0].data) print('torch.max(x,1)[0].data.numpy():\n',torch.max(x,1)[0].data.numpy()) print('torch.max(x,1)[0].data.numpy().squeeze():\n',torch.max(x,1)[0].data.numpy().squeeze()) ''' x: tensor([[0.8879, 0.3753, 0.4216, 0.9018], [0.9666, 0.2836, 0.8554, 0.1083], [0.8416, 0.2497, 0.9407, 0.0587], [0.4886, 0.0165, 0.4031, 0.0805]]) torch.max(x,1): torch.return_types.max( values=tensor([0.9018, 0.9666, 0.9407, 0.4886]), indices=tensor([3, 0, 2, 0])) torch.max(x,0): torch.return_types.max( values=tensor([0.9666, 0.3753, 0.9407, 0.9018]), indices=tensor([1, 0, 2, 0])) torch.max(x,1)[0]: # 数组 tensor([0.9018, 0.9666, 0.9407, 0.4886]) torch.max(x,1)[1]: # 下标 tensor([3, 0, 2, 0]) torch.max(x,1)[1].data: tensor([3, 0, 2, 0]) torch.max(x,1)[1].data.numpy(): [3 0 2 0] torch.max(x,1)[1].data.numpy().squeeze(): [3 0 2 0] torch.max(x,1)[0].data: tensor([0.9018, 0.9666, 0.9407, 0.4886]) torch.max(x,1)[0].data.numpy(): [0.9018364 0.9665782 0.9406531 0.48861176] torch.max(x,1)[0].data.numpy().squeeze(): [0.9018364 0.9665782 0.9406531 0.48861176] '''	30.327869	93	0.624865	379	1,850	3.039578	0.197889	0.208333	0.234375	0.234375	0.694444	0.650174	0.586806	0.466146	0.153646	0.131076	0	0.21522	0.090811	1,850	61	94	30.327869	0.469679	0.13027	0	0	0	0.409357	0.295322	0	0	0	0	0	1	0	false	0	0.076923	0	0.076923	0.846154	0	0	0	null	1	1	1	0	0	0	0	0	0	1	0	0	0	1	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	1	6
5b52e299f9986a0cb2263bb32ff8d18565d8208d	129	py	Python	utils/utils.py	LordRonz/telemogus	b3090bfa45e2272ec41d3ffe120a4e61f14944ab	[ "WTFPL" ]	1	2022-03-03T15:03:03.000Z	2022-03-03T15:03:03.000Z	utils/utils.py	LordRonz/telemogus	b3090bfa45e2272ec41d3ffe120a4e61f14944ab	[ "WTFPL" ]	4	2022-03-14T03:35:04.000Z	2022-03-21T03:54:21.000Z	utils/utils.py	LordRonz/telemogus	b3090bfa45e2272ec41d3ffe120a4e61f14944ab	[ "WTFPL" ]	null	null	null	from itertools import groupby def sus_in_string(s: str) -> bool: return "sus" in "".join(c for c, _ in groupby(s.lower()))	21.5	61	0.666667	22	129	3.772727	0.727273	0.120482	0	0	0	0	0	0	0	0	0	0	0.186047	129	5	62	25.8	0.790476	0	0	0	0	0.023256	0	0	0	0	0	0	1	0.333333	false	0	0.333333	0.333333	1	0	1	0	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	1	0	0	1	1	1	0	6
5bb98cdaeaf7a6cfe3cb28ce2e8fc35b8ebc621b	22	py	Python	controller/__init__.py	moshebeeri/datap	9ff99bb435728cd69f2589e3ee858a06768ea85e	[ "Apache-2.0" ]	null	null	null	controller/__init__.py	moshebeeri/datap	9ff99bb435728cd69f2589e3ee858a06768ea85e	[ "Apache-2.0" ]	null	null	null	controller/__init__.py	moshebeeri/datap	9ff99bb435728cd69f2589e3ee858a06768ea85e	[ "Apache-2.0" ]	null	null	null	from .control import *	22	22	0.772727	3	22	5.666667	1	0	0	0	0	0	0	0	0	0	0	0	0.136364	22	1	22	22	0.894737	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5bbf7a58742313a8ab1151e0e91584338811cfc4	143	py	Python	test/spec/test_utils.py	Bauble/bauble.api	183c97fda076ea870e21e70ecf89a2a94a7f5722	[ "BSD-3-Clause" ]	null	null	null	test/spec/test_utils.py	Bauble/bauble.api	183c97fda076ea870e21e70ecf89a2a94a7f5722	[ "BSD-3-Clause" ]	1	2015-02-05T13:15:00.000Z	2015-02-05T13:15:00.000Z	test/spec/test_utils.py	Bauble/bauble.api	183c97fda076ea870e21e70ecf89a2a94a7f5722	[ "BSD-3-Clause" ]	null	null	null	import bauble.db as db from bauble.model import Family import bauble.utils as utils import test.api as api from test.utils import random_str	17.875	33	0.811189	26	143	4.423077	0.461538	0.208696	0	0	0	0	0	0	0	0	0	0	0.153846	143	7	34	20.428571	0.950413	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
5bf364ac76bb9250354b882d9f93be70adc229df	172	py	Python	Ex111/teste.py	andrade-lcs/ex_curso_em_video_python	f2d029efe7a20cdf0fcb5b602f9992e27d37c263	[ "MIT" ]	null	null	null	Ex111/teste.py	andrade-lcs/ex_curso_em_video_python	f2d029efe7a20cdf0fcb5b602f9992e27d37c263	[ "MIT" ]	null	null	null	Ex111/teste.py	andrade-lcs/ex_curso_em_video_python	f2d029efe7a20cdf0fcb5b602f9992e27d37c263	[ "MIT" ]	null	null	null	#from Ex111.utilidadecv import moeda #from Ex111.utilidadecv import dado from Ex111.utilidadecv import moeda p = float(input('Digite o preço: R$')) moeda.resumo(p, 20, 12)	28.666667	38	0.767442	27	172	4.888889	0.592593	0.204545	0.454545	0.590909	0.469697	0	0	0	0	0	0	0.086093	0.122093	172	6	39	28.666667	0.788079	0.401163	0	0	0	0.176471	0	0	0	0	0	0	1	0	false	0	0.333333	0	0.333333	0	1	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	0	0	6
7506dab17afd16a30160560108c4b9696effc3e2	325	py	Python	hardy/handling/__init__.py	kyleniemeyer/hardy	35e2141466a972a291082cb031b8393b4b395d84	[ "MIT" ]	15	2020-04-11T00:49:41.000Z	2022-01-28T05:03:44.000Z	hardy/handling/__init__.py	kyleniemeyer/hardy	35e2141466a972a291082cb031b8393b4b395d84	[ "MIT" ]	15	2020-06-17T17:33:01.000Z	2022-02-11T17:34:41.000Z	hardy/handling/__init__.py	kyleniemeyer/hardy	35e2141466a972a291082cb031b8393b4b395d84	[ "MIT" ]	7	2020-08-28T18:46:17.000Z	2022-03-16T22:29:06.000Z	from .version import __version__ # noqa: F401 from .handling import * # noqa: F401, F403 from .to_catalogue import * # noqa: F401, F403 from .visualization import * # noqa: F401, F403 from .pre_processing import * # noqa: F401, F403 # __all__ = [__version__] name = 'handling'	32.5	56	0.618462	36	325	5.194444	0.388889	0.213904	0.299465	0.385027	0.352941	0	0	0	0	0	0	0.116883	0.289231	325	9	57	36.111111	0.692641	0.313846	0	0	0	0.037037	0	0	0	0	0	0	1	0	false	0	0.833333	0	0.833333	0	0	0	0	null	1	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	1	0	1	0	6
751dfbf1d9dd299c4e0ac93884557889b462e151	29	py	Python	src/TSMRS/__init__.py	muntazir-halim/TSMRS	726e6b9ba0b02088cc729f81663cab0aa0580abf	[ "MIT" ]	6	2021-09-30T13:24:54.000Z	2022-01-03T15:32:40.000Z	src/TSMRS/__init__.py	muntazir-halim/TSMRS	726e6b9ba0b02088cc729f81663cab0aa0580abf	[ "MIT" ]	null	null	null	src/TSMRS/__init__.py	muntazir-halim/TSMRS	726e6b9ba0b02088cc729f81663cab0aa0580abf	[ "MIT" ]	1	2021-12-30T17:27:00.000Z	2021-12-30T17:27:00.000Z	from .checkerUS import check	29	29	0.827586	4	29	6	1	0	0	0	0	0	0	0	0	0	0	0	0.137931	29	1	29	29	0.96	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
753beac0179797c4ad19eb88d976510fbe93a4c6	1,472	py	Python	social_core/tests/backends/test_yandex.py	shnaqawi/social-core	402e15bd2854ade0b8f0d19663966473f0e1c6ff	[ "BSD-3-Clause" ]	745	2016-12-03T16:38:37.000Z	2022-03-29T17:18:52.000Z	social_core/tests/backends/test_yandex.py	shnaqawi/social-core	402e15bd2854ade0b8f0d19663966473f0e1c6ff	[ "BSD-3-Clause" ]	624	2016-12-06T16:01:46.000Z	2022-03-29T15:50:35.000Z	virtual/lib/python3.6/site-packages/social_core/tests/backends/test_yandex.py	dennismwaniki67/awards	80ed10541f5f751aee5f8285ab1ad54cfecba95f	[ "MIT" ]	583	2016-12-03T16:40:38.000Z	2022-03-28T05:32:37.000Z	import json from .oauth import OAuth2Test class YandexOAuth2Test(OAuth2Test): backend_path = 'social_core.backends.yandex.YandexOAuth2' user_data_url = 'https://login.yandex.ru/info' expected_username = 'foobar' access_token_body = json.dumps({ 'access_token': 'foobar', 'token_type': 'bearer' }) user_data_body = json.dumps({ 'display_name': 'foobar', 'real_name': 'Foo Bar', 'sex': None, 'id': '101010101', 'default_email': 'foobar@yandex.com', 'emails': ['foobar@yandex.com'] }) def test_login(self): self.do_login() def test_partial_pipeline(self): self.do_partial_pipeline() class YandexOAuth2TestEmptyEmail(OAuth2Test): """ When user log in to yandex service with social network account (e.g. vk.com), they `default_email` could be empty. """ backend_path = 'social_core.backends.yandex.YandexOAuth2' user_data_url = 'https://login.yandex.ru/info' expected_username = 'foobar' access_token_body = json.dumps({ 'access_token': 'foobar', 'token_type': 'bearer' }) user_data_body = json.dumps({ 'display_name': 'foobar', 'real_name': 'Foo Bar', 'sex': None, 'id': '101010101', 'default_email': '', 'emails': [] }) def test_login(self): self.do_login() def test_partial_pipeline(self): self.do_partial_pipeline()	26.285714	72	0.61481	167	1,472	5.173653	0.389222	0.037037	0.060185	0.048611	0.726852	0.726852	0.726852	0.726852	0.726852	0.726852	0	0.022624	0.249321	1,472	55	73	26.763636	0.759276	0.077446	0.809524	0	0	0.286996	0.059791	0	0	0	0	0	1	0.095238	false	0	0.047619	0	0.428571	0	0	0	0	null	0	0	0	0	1	1	1	1	1	0	0	0	0	0	0	1	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
7550747522763aa7a8664e7e2eedf3751c034c7e	85	py	Python	tests/__init__.py	sovaai/sova-bls-http-api	9da627d6cb7586eb2bb59528d6e4411a9bbfe7fc	[ "Apache-2.0" ]	42	2020-10-28T08:36:23.000Z	2020-10-29T12:37:55.000Z	tests/__init__.py	sovaai/sova-bls-http-api	9da627d6cb7586eb2bb59528d6e4411a9bbfe7fc	[ "Apache-2.0" ]	null	null	null	tests/__init__.py	sovaai/sova-bls-http-api	9da627d6cb7586eb2bb59528d6e4411a9bbfe7fc	[ "Apache-2.0" ]	1	2021-01-18T00:55:35.000Z	2021-01-18T00:55:35.000Z	from .test_init import TestInitEndpoint from .test_request import TestRequestEndpoint	42.5	45	0.894118	10	85	7.4	0.7	0.216216	0	0	0	0	0	0	0	0	0	0	0.082353	85	2	45	42.5	0.948718	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f367693ada0befc087c72b0ab123d8fb8625fffa	63	py	Python	src/scenes/__init__.py	kadir014/2d-minecraft-clone	1407b89111fa852a8c98d8b30ec5e9d94dedcf3c	[ "MIT" ]	5	2020-12-26T11:54:54.000Z	2022-01-06T23:28:35.000Z	src/scenes/__init__.py	kadir014/2d-minecraft-clone	1407b89111fa852a8c98d8b30ec5e9d94dedcf3c	[ "MIT" ]	2	2020-12-27T08:51:18.000Z	2021-07-22T20:22:37.000Z	src/scenes/__init__.py	kadir014/2d-minecraft-clone	1407b89111fa852a8c98d8b30ec5e9d94dedcf3c	[ "MIT" ]	1	2022-01-05T04:24:14.000Z	2022-01-05T04:24:14.000Z	from . import base from . import game from . import titlescreen	21	25	0.777778	9	63	5.444444	0.555556	0.612245	0	0	0	0	0	0	0	0	0	0	0.174603	63	3	25	21	0.942308	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
f3788b14361a271994dbbb28cd0c50186c825af9	13,899	py	Python	contents/character/generator/CharacterPersonality.py	jakenjarvis/Lakshmi	de805f7488c1a6b3a4e0d3804be7ecd6c814b446	[ "Apache-2.0" ]	1	2020-08-24T01:31:20.000Z	2020-08-24T01:31:20.000Z	contents/character/generator/CharacterPersonality.py	jakenjarvis/Lakshmi	de805f7488c1a6b3a4e0d3804be7ecd6c814b446	[ "Apache-2.0" ]	null	null	null	contents/character/generator/CharacterPersonality.py	jakenjarvis/Lakshmi	de805f7488c1a6b3a4e0d3804be7ecd6c814b446	[ "Apache-2.0" ]	null	null	null	#!/usr/bin/env python3 # -- coding: utf-8 -- from typing import List, Dict, Callable import math import random class CharacterPersonality(): # individuality? def __init__(self): # 性格 # https://mysuki.jp/english-personality-5486 # https://harahara.net/English/resources/personality.htm # スキルの「選択の仕方」に影響を与えるものとする。 self.personalitys = { "serious": { "description": "真面目で少々固い性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 1.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 8, "new_count": 1 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.8) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: [math.ceil(100 / x * 0.8) for x in range(1, n+1)], }, "honest": { "description": "正直で嘘をつかない誠実な性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.5, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 1.5, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 6, "new_count": 3 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], }, "bravepatient": { "description": "勇敢で我慢強い性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 3.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 1.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 5, "new_count": 3 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "responsible": { "description": "責任感のある性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 3.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 8, "new_count": 0 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "gentle": { "description": "穏やかで優しい性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 4.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 5, "new_count": 5 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "polite": { "description": "礼儀正しく丁寧な性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 5.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 4, "new_count": 6 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "selfish": { "description": "自己利益優先的な性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 5.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 1.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 1, "new_count": 9 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.7) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: [math.ceil(100 / x * 0.7) for x in range(1, n+1)], }, "nervous": { "description": "神経質で臆病な性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 2.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 5.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 3, "new_count": 7 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "sensitive": { "description": "繊細で傷つきやすい性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 1.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 10.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 2, "new_count": 8 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.8) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "jealous": { "description": "嫉妬しやすい性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 3.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 2.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 1, "new_count": 9 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], }, "talkative": { "description": "おしゃべりで口数が多い性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 6.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 6.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 5, "new_count": 5 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "entertaining": { "description": "人を楽しませるような面白い性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 10.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 10.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 5, "new_count": 5 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: [math.ceil(100 / x * 0.9) for x in range(1, n+1)], # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "evilchildish": { "description": "意地悪で子供っぽい性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 20.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 20.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 0, "new_count": 10 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "lazyloose": { "description": "怠惰でだらしない性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 25.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 25.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 6, "new_count": 12 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, "unique": { "description": "とても変わった例えようのない珍しい性格", # 職業P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_occupation": 30.0, # 趣味P用重み付け率 1.0 - 58.0(max skills count) 大きいほど緩やかで差が無くなる。 "weighting_rate_for_interest": 30.0, # 趣味Pのスキル取得基本数（ポイントMAXにより増える可能性あり） "number_of_interest_choices": { "duplicate_count": 4, "new_count": 17 }, # 職業Pのスキル分配率関数 "skill_distribution_rate_function_for_occupation": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), # 趣味Pのスキル分配率関数 "skill_distribution_rate_function_for_interest": lambda n: list(reversed([math.ceil(x / 1.8) for x in range(1, n+1)])), }, } self.personality_key = None def set_key(self, key: str): self.personality_key = key def get_key(self) -> str: return self.personality_key def get_description(self) -> str: return self.personalitys[self.personality_key]["description"] def get_weighting_rate_for_occupation(self) -> int: return self.personalitys[self.personality_key]["weighting_rate_for_occupation"] def get_weighting_rate_for_interest(self) -> int: return self.personalitys[self.personality_key]["weighting_rate_for_interest"] def get_number_of_interest_choices(self) -> Dict[str, int]: return self.personalitys[self.personality_key]["number_of_interest_choices"] def get_skill_distribution_rate_function_for_occupation(self) -> Callable[[int], List[int]]: return self.personalitys[self.personality_key]["skill_distribution_rate_function_for_occupation"] def get_skill_distribution_rate_function_for_interest(self) -> Callable[[int], List[int]]: return self.personalitys[self.personality_key]["skill_distribution_rate_function_for_interest"]	58.64557	138	0.571768	1,537	13,899	4.927131	0.078725	0.010036	0.071834	0.130199	0.867556	0.861746	0.85171	0.835996	0.835996	0.826885	0	0.043336	0.317649	13,899	236	139	58.894068	0.755167	0.197784	0.319444	0	0	0.333487	0.25704	0	0	0	0	0	1	0.0625	false	0	0.020833	0.048611	0.138889	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
3432db53430271ab05711be2af34e6435e753ece	30	py	Python	abstractions/python/kiota/abstractions/__init__.py	jasonjoh/kiota	d1ac436e01e0e1527403d819c2773e4dc33058b1	[ "MIT" ]	null	null	null	abstractions/python/kiota/abstractions/__init__.py	jasonjoh/kiota	d1ac436e01e0e1527403d819c2773e4dc33058b1	[ "MIT" ]	null	null	null	abstractions/python/kiota/abstractions/__init__.py	jasonjoh/kiota	d1ac436e01e0e1527403d819c2773e4dc33058b1	[ "MIT" ]	null	null	null	from ._version import VERSION	15	29	0.833333	4	30	6	0.75	0	0	0	0	0	0	0	0	0	0	0	0.133333	30	1	30	30	0.923077	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cae07a39c00113ffd1d00f8e2ca08c79276c4151	159	py	Python	tests/__init__.py	beczkowb/csvparser	f9f9bd37e10e3c1c223d559194367b25900a822a	[ "MIT" ]	null	null	null	tests/__init__.py	beczkowb/csvparser	f9f9bd37e10e3c1c223d559194367b25900a822a	[ "MIT" ]	8	2016-09-17T09:56:31.000Z	2017-02-21T22:41:22.000Z	tests/__init__.py	beczkowb/csvparser	f9f9bd37e10e3c1c223d559194367b25900a822a	[ "MIT" ]	null	null	null	# -- coding: utf-8 -- from __future__ import absolute_import, division, print_function, unicode_literals from . import test_fields from . import test_parser	31.8	82	0.786164	21	159	5.52381	0.714286	0.172414	0.241379	0	0	0	0	0	0	0	0	0.007194	0.125786	159	5	83	31.8	0.827338	0.132075	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0.333333	1	0	0	null	0	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
cae5f3b2a3cc835f9a6d7d553c823247e62aa284	7,109	py	Python	pred_diff/tools/mnist_lightning.py	PredDiff/PredDiffTabular	ae116c5179615d8163c1421e1feb7dcfbd1c2b5e	[ "BSD-3-Clause" ]	1	2021-05-04T15:09:25.000Z	2021-05-04T15:09:25.000Z	pred_diff/tools/mnist_lightning.py	PredDiff/PredDiffTabular	ae116c5179615d8163c1421e1feb7dcfbd1c2b5e	[ "BSD-3-Clause" ]	null	null	null	pred_diff/tools/mnist_lightning.py	PredDiff/PredDiffTabular	ae116c5179615d8163c1421e1feb7dcfbd1c2b5e	[ "BSD-3-Clause" ]	null	null	null	#https://colab.research.google.com/drive/1-_LKx4HwAxl5M6xPJmqAAu444LTDQoa3 import torch from torch.nn import functional as F import torch.nn as nn from torch.utils.data import DataLoader, TensorDataset # from torchvision.datasets import MNIST # from torchvision import transforms import pytorch_lightning as pl import torch.utils.data import numpy as np import pandas as pd from pytorch_lightning.core.decorators import auto_move_data # digit = np.array(data_digits.iloc[image_id]).reshape(img_params.n_pixel, img_params.n_pixel) class FlatMNISTModel(pl.LightningModule): def __init__(self, classes=10, n_hidden=[1000, 500], dropout=0.5, lr=1e-3, wd=1e-3, bs_test=1024, T=1, conv_encoder=False): super().__init__() self.save_hyperparameters() layers = [] if(conv_encoder): layers.append(nn.Conv2d(1, 32, 3, stride=1, padding=1,bias=False)) layers.append(nn.BatchNorm2d(32)) layers.append(nn.ReLU(inplace=True)) layers.append(nn.MaxPool2d(2)) layers.append(nn.Conv2d(32, 64, 3, stride=1, padding=1, bias=False)) layers.append(nn.BatchNorm2d(64)) layers.append(nn.ReLU(inplace=True)) layers.append(nn.MaxPool2d(2)) layers.append(nn.Flatten()) #self.model = torch.nn.Sequential(layers) dos = [dropout/2] (len(n_hidden)-1) + [dropout] for i in range(len(n_hidden)): layers.append(torch.nn.Linear((7764 if conv_encoder else 28 * 28) if i == 0 else n_hidden[i-1], n_hidden[i])) layers.append(torch.nn.ReLU(inplace=True)) if dropout > 0: layers.append(torch.nn.Dropout(dos[i])) layers.append(torch.nn.Linear(n_hidden[-1], classes)) self.model = torch.nn.Sequential(layers) self.criterion = torch.nn.CrossEntropyLoss() self.train_accuracy = pl.metrics.Accuracy() self.val_accuracy = pl.metrics.Accuracy() self.T = T @auto_move_data def forward(self, x): if(self.hparams.conv_encoder): return self.model(x.view(x.size(0), 1, 28, 28)) else: return self.model(x.view(x.size(0), -1)) def training_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = self.criterion(y_hat, y) self.log('train_loss', loss, on_epoch=True) return loss def validation_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = self.criterion(y_hat, y) self.val_accuracy(torch.argmax(y_hat, dim=-1), y) self.log('val_acc', self.val_accuracy, on_epoch=True) self.log('val_loss', loss, on_epoch=True) return loss def configure_optimizers(self): return torch.optim.AdamW(self.parameters(), lr=self.hparams.lr, weight_decay=self.hparams.wd) def predict_proba(self, x): test_dataset = TensorDataset(torch.from_numpy(np.array(x)).float()) test_loader = DataLoader(test_dataset, batch_size=self.hparams.bs_test, drop_last=False) res = [] self.eval() with torch.no_grad(): for data in test_loader: preds = F.softmax(self.forward(data[0])/self.T, dim=-1) #print(preds[0],preds.shape) res.append(preds.cpu().numpy()) return np.concatenate(res, axis=0) def return_accurary(self, data, target): if isinstance(data, pd.DataFrame): data = data.to_numpy() if isinstance(target, pd.DataFrame): target = target.to_numpy() y_hat = self.forward(torch.tensor(data)) target = torch.tensor(target) acc = self.val_accuracy(torch.argmax(y_hat, dim=-1), torch.squeeze(target)) return acc class ConvMNISTModel(pl.LightningModule): def __init__(self, classes=10, n_hidden=[1000, 500], dropout=0.5, lr=1e-3, wd=1e-3, bs_test=1024, T=1): super().__init__() self.save_hyperparameters() layers = [] dos = [dropout / 2] (len(n_hidden) - 1) + [dropout] # for i in range(len(n_hidden)): # layers.append(torch.nn.Linear(28 * 28 if i == 0 else n_hidden[i - 1], n_hidden[i])) # layers.append(torch.nn.ReLU(inplace=True)) # if dropout > 0: # layers.append(torch.nn.Dropout(dos[i])) # layers.append(torch.nn.Linear(n_hidden[-1], classes)) # self.model = torch.nn.Sequential(*layers) self.n_pixel = 28 self.conv = torch.nn.Sequential( torch.nn.Conv2d(1, 10, 2), torch.nn.MaxPool2d(2), torch.nn.ReLU(), torch.nn.Conv2d(10, 10, 2), torch.nn.MaxPool2d(2), torch.nn.ReLU(), torch.nn.Conv2d(10, 10, 2), torch.nn.ReLU(), torch.nn.Conv2d(10, 1, 1), # torch.nn.Linear(25, classes) ) self.linear = torch.nn.Linear(25, classes) self.criterion = torch.nn.CrossEntropyLoss() self.train_accuracy = pl.metrics.Accuracy() self.val_accuracy = pl.metrics.Accuracy() self.T = T @auto_move_data def forward(self, x: torch.Tensor): n_batch = x.shape[0] in_conv = x.view((n_batch, 1, self.n_pixel, self.n_pixel)) out_conv = self.conv(in_conv) out = self.linear(out_conv.view((n_batch, -1))) return out def training_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = self.criterion(y_hat, y) self.log('train_loss', loss, on_epoch=True) return loss def validation_step(self, batch, batch_idx): x, y = batch y_hat = self(x) loss = self.criterion(y_hat, y) self.val_accuracy(torch.argmax(y_hat, dim=-1), y) self.log('val_acc', self.val_accuracy, on_epoch=True) self.log('val_loss', loss, on_epoch=True) return loss def configure_optimizers(self): return torch.optim.AdamW(self.parameters(), lr=self.hparams.lr, weight_decay=self.hparams.wd) def predict_proba(self, x): test_dataset = TensorDataset(torch.from_numpy(np.array(x)).float()) test_loader = DataLoader(test_dataset, batch_size=self.hparams.bs_test, drop_last=False) res = [] self.eval() with torch.no_grad(): for data in test_loader: preds = F.softmax(self.forward(data[0]) / self.T, dim=-1) # print(preds[0],preds.shape) res.append(preds.cpu().numpy()) return np.concatenate(res, axis=0) def return_accurary(self, data, target): if isinstance(data, pd.DataFrame): data = data.to_numpy() if isinstance(target, pd.DataFrame): target = target.to_numpy() y_hat = self.forward(torch.tensor(data)) target = torch.tensor(target) acc = self.val_accuracy(torch.argmax(y_hat, dim=-1), torch.squeeze(target)) return acc	34.678049	127	0.600366	971	7,109	4.256437	0.167868	0.045729	0.030486	0.036777	0.812727	0.812727	0.777885	0.777885	0.773288	0.760223	0	0.029191	0.267548	7,109	204	128	34.848039	0.764548	0.097763	0.697183	0	0	0.007814	0	0	0	0	0	0	1	0.098592	false	0	0.06338	0.014085	0.267606	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
1baf402c0b185404d7152f10efa5d3d93636ab0c	172	py	Python	database/admin.py	jkhlr/immobot	64cc73569db3f935dcd280ad55753c2b5aa01e73	[ "MIT" ]	1	2021-11-06T04:58:56.000Z	2021-11-06T04:58:56.000Z	database/admin.py	jkhlr/immobot	64cc73569db3f935dcd280ad55753c2b5aa01e73	[ "MIT" ]	null	null	null	database/admin.py	jkhlr/immobot	64cc73569db3f935dcd280ad55753c2b5aa01e73	[ "MIT" ]	null	null	null	from django.contrib import admin from database.models import Job, Subscriber, Result admin.site.register(Job) admin.site.register(Result) admin.site.register(Subscriber)	21.5	51	0.819767	24	172	5.875	0.5	0.191489	0.361702	0.326241	0	0	0	0	0	0	0	0	0.087209	172	7	52	24.571429	0.898089	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	0.4	0	0.4	0	1	0	0	null	0	1	1	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6
59f24bf421c30ec1ae9715a30c799a5471c01374	2,028	py	Python	features/steps/get-by-alias.py	bsc-dom/functional-testing	ac5b209b80d1431bc1db0119d378a8b11b8d3538	[ "BSD-3-Clause" ]	null	null	null	features/steps/get-by-alias.py	bsc-dom/functional-testing	ac5b209b80d1431bc1db0119d378a8b11b8d3538	[ "BSD-3-Clause" ]	null	null	null	features/steps/get-by-alias.py	bsc-dom/functional-testing	ac5b209b80d1431bc1db0119d378a8b11b8d3538	[ "BSD-3-Clause" ]	null	null	null	from steps.execution import call_method from steps.steps import * import traceback @then('"{user_name}" creates "{obj_from_alias_ref}" of class "{classname}" using alias "{alias}"') @given('"{user_name}" creates "{obj_from_alias_ref}" of class "{classname}" using alias "{alias}"') @when('"{user_name}" creates "{obj_from_alias_ref}" of class "{classname}" using alias "{alias}"') def step_impl(context, user_name, obj_from_alias_ref, classname, alias): test_user = get_or_create_user(user_name) cls_module = "test_namespace.classes" if '.' in classname: cls_module_and_name = classname.split('.') cls_module = f"test_namespace.{cls_module_and_name[0]}" classname = cls_module_and_name[1] test_user.user_objects[obj_from_alias_ref] = call_method(test_user, classname, cls_module, 'get_by_alias', alias) @then('"{user_name}" checks that there is no object of class "{classname}" with alias "{alias}"') @given('"{user_name}" checks that there is no object of class "{classname}" with alias "{alias}"') @when('"{user_name}" checks that there is no object of class "{classname}" with alias "{alias}"') def step_impl(context, user_name, classname, alias): test_user = get_or_create_user(user_name) exception_produced = False cls_module = "test_namespace.classes" if '.' in classname: cls_module_and_name = classname.split('.') cls_module = f"test_namespace.{cls_module_and_name[0]}" classname = cls_module_and_name[1] try: call_method(test_user, classname, cls_module, 'get_by_alias', alias) except: exception_produced = True assert exception_produced is True @then('"{user_name}" deletes alias "{alias}" from object "{obj_ref}"') @given('"{user_name}" deletes alias "{alias}" from object "{obj_ref}"') @when('"{user_name}" deletes alias "{alias}" from object "{obj_ref}"') def step_impl(context, user_name, alias, obj_ref): test_user = get_or_create_user(user_name) test_user.user_objects[obj_ref].delete_alias()	50.7	117	0.715976	293	2,028	4.631399	0.194539	0.08843	0.070744	0.070744	0.835667	0.789978	0.770818	0.770818	0.709654	0.619013	0	0.002312	0.146943	2,028	40	118	50.7	0.782081	0	0.361111	0	0	0.426036	0.092702	0	0	0	0	0.027778	1	0.083333	false	0	0.083333	0	0.166667	0	0	0	0	null	0	0	0	1	1	1	1	1	1	0	0	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	0	0	0	0	0	0	6
9434b64196fee126472758ded777bb15bee2f851	230	py	Python	optim/__init__.py	ChengIC/ryan-sad	09a93245ae6917911bd0f9d39d533d825c23c259	[ "MIT" ]	null	null	null	optim/__init__.py	ChengIC/ryan-sad	09a93245ae6917911bd0f9d39d533d825c23c259	[ "MIT" ]	null	null	null	optim/__init__.py	ChengIC/ryan-sad	09a93245ae6917911bd0f9d39d533d825c23c259	[ "MIT" ]	null	null	null	from .DeepSAD_trainer import DeepSADTrainer from .ae_trainer import AETrainer from .SemiDGM_trainer import SemiDeepGenerativeTrainer from .vae_trainer import VAETrainer from .variational import SVI, ImportanceWeightedSampler	38.333333	56	0.86087	25	230	7.76	0.56	0.268041	0	0	0	0	0	0	0	0	0	0	0.113043	230	5	57	46	0.95098	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	0	0	null	1	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
943c065ab9dca9ce2b96833c275ec00880e02ee2	27	py	Python	TSPSolver/Greedy/__init__.py	Akasan/TSPSolver.py	f21b57ce3ecc08ffdce0c5d2fa1f3ce90469e23e	[ "MIT" ]	null	null	null	TSPSolver/Greedy/__init__.py	Akasan/TSPSolver.py	f21b57ce3ecc08ffdce0c5d2fa1f3ce90469e23e	[ "MIT" ]	null	null	null	TSPSolver/Greedy/__init__.py	Akasan/TSPSolver.py	f21b57ce3ecc08ffdce0c5d2fa1f3ce90469e23e	[ "MIT" ]	null	null	null	from .Greedy import Greedy	13.5	26	0.814815	4	27	5.5	0.75	0	0	0	0	0	0	0	0	0	0	0	0.148148	27	1	27	27	0.956522	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
84af97682294b99649270326bceada195fdbb8f2	4,736	py	Python	src/credentials_rotators/npm/lambda_functions/npm_utils.py	jhockett/amplify-ci-support	3d93278063762fe5c8a9241a6fe4d593b70dd6eb	[ "Apache-2.0" ]	9	2020-06-09T21:59:02.000Z	2021-06-27T07:15:18.000Z	src/credentials_rotators/npm/lambda_functions/npm_utils.py	jhockett/amplify-ci-support	3d93278063762fe5c8a9241a6fe4d593b70dd6eb	[ "Apache-2.0" ]	27	2020-05-06T13:48:06.000Z	2022-02-14T10:10:33.000Z	src/credentials_rotators/npm/lambda_functions/npm_utils.py	jhockett/amplify-ci-support	3d93278063762fe5c8a9241a6fe4d593b70dd6eb	[ "Apache-2.0" ]	12	2020-05-15T11:51:41.000Z	2022-02-11T18:07:15.000Z	import json import pyotp import requests def generate_otp(username, otp_seed): """Generate a time based OTP using the OTP_SEED for the npm user It is used in 2 Factor Authentication for the user account Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user """ totp = pyotp.parse_uri(f'otpauth://totp/{username}?secret={otp_seed}&issuer=npm') otp = totp.now() return otp def update_login_password(username, otp_seed, current_password, new_password): """Update the login password for the npm user Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user current_password (string): The current active login password for the npm user new_password (string): The new login password to be set for the npm user Raises: HttpError: If the password update fails """ otp = generate_otp(username, otp_seed) headers = { 'content-type': 'application/json', 'npm-otp': otp } url = 'https://registry.npmjs.org/-/npm/v1/user' data_dict = {'password': {'old': current_password, 'new': new_password}} data = json.dumps(data_dict) response = requests.post(url, headers=headers, data=data, auth=(username, current_password)) response.raise_for_status() def create_access_token(username, otp_seed, password): """Create an access token for a NPM user Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user password (string): The current active login password for the npm user Raises: HttpError: If the access token creation fails """ otp = generate_otp(username, otp_seed) headers = { 'content-type': 'application/json', 'npm-otp': otp } url = 'https://registry.npmjs.org/-/npm/v1/tokens' data_dict = {'password': password} data = json.dumps(data_dict) response = requests.post(url, headers=headers, data=data, auth=(username, password)) response.raise_for_status() return json.loads(response.content)['token'] def get_user_info_using_password(username, otp_seed, password): """Fetch the npm user profile information after authorization using password and OTP Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user password (string): The current active login password for the npm user Raises: HttpError: If the user profile information cannot be fetched """ otp = generate_otp(username, otp_seed) headers = { 'content-type': 'application/json', 'npm-otp': otp } url = 'https://registry.npmjs.org/-/npm/v1/user' response = requests.get(url, headers=headers, auth=(username, password)) response.raise_for_status() def get_user_info_using_access_token(username, otp_seed, access_token): """Fetch the npm user profile information after authorization using access token and OTP Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user access_token (string): The active access token for the npm user Raises: HttpError: If the user profile information cannot be fetched """ otp = generate_otp(username, otp_seed) headers = { 'Authorization': f'Bearer {access_token}', 'content-type': 'application/json', 'npm-otp': otp } url = 'https://registry.npmjs.org/-/npm/v1/user' response = requests.get(url, headers=headers) response.raise_for_status() def delete_access_token(username, otp_seed, password, access_token): """Delete given access token for a NPM user Args: username (string): The username of the npm user otp_seed (string): The seed generated during 2 factor auth setup for the user password (string): The current active login password for the npm user access_token (string): The access_token to be deleted Raises: HttpError: If the access token creation fails """ otp = generate_otp(username, otp_seed) headers = { 'content-type': 'application/json', 'npm-otp': otp } url = f'https://registry.npmjs.org/-/npm/v1/tokens/token/{access_token}' data_dict = {'password': password} data = json.dumps(data_dict) response = requests.delete(url, headers=headers, data=data, auth=(username, password)) response.raise_for_status()	36.430769	96	0.68011	640	4,736	4.921875	0.145313	0.042222	0.050794	0.033016	0.800952	0.752698	0.713651	0.688254	0.677778	0.642222	0	0.003267	0.224451	4,736	129	97	36.713178	0.854343	0.437289	0.55	1	0	0.212602	0.021951	0	0	0	0	0	1	0.1	false	0.183333	0.05	0	0.183333	0	0	0	0	null	0	0	0	1	1	1	0	0	1	0	0	0	0	0	0	0	1	0	0	0	null	0	0	0	0	0	0	1	0	0	0	0	6
84d4dc133043d7b53dd75854ff9d4eaa435996aa	32	py	Python	__init__.py	BobbyL2k/tensorflowhelper	3b33a1d4bdb6aa795b4f9e74622212400dbb3d5e	[ "MIT" ]	1	2018-06-25T10:15:19.000Z	2018-06-25T10:15:19.000Z	__init__.py	BobbyL2k/tensorflowhelper	3b33a1d4bdb6aa795b4f9e74622212400dbb3d5e	[ "MIT" ]	null	null	null	__init__.py	BobbyL2k/tensorflowhelper	3b33a1d4bdb6aa795b4f9e74622212400dbb3d5e	[ "MIT" ]	null	null	null	from .tensorflowhelper import *	16	31	0.8125	3	32	8.666667	1	0	0	0	0	0	0	0	0	0	0	0	0.125	32	1	32	32	0.928571	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
84e5d463add1b79b394765de33a0b97017fdc539	18	py	Python	pytrain/HMM/__init__.py	pytrain/pytrain-shallow	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	20	2016-09-03T10:56:06.000Z	2020-08-21T01:43:47.000Z	pytrain/HMM/__init__.py	pytrain/pytrain	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	8	2016-11-14T12:33:38.000Z	2017-07-14T15:43:53.000Z	pytrain/HMM/__init__.py	pytrain/pytrain	c873a6f11f1dd940da12e7c9a3c961507d064d9a	[ "MIT" ]	7	2017-02-09T16:50:37.000Z	2022-01-02T01:18:56.000Z	from HMM import *	9	17	0.722222	3	18	4.333333	1	0	0	0	0	0	0	0	0	0	0	0	0.222222	18	1	18	18	0.928571	0	0	0	0	0	0	0	0	0	0	0	1	0	true	0	1	0	1	0	1	1	0	null	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	1	0	6
ca184c36494e1b9d23e821a28faaf3780e3ed3b3	617,712	py	Python	Models/Plant-disease-detection-CNN-Model.py	Apurva-tech/chlorophyll	2c9ed947e54489ed5434ac69db37bc30b854d880	[ "MIT" ]	17	2021-03-21T19:13:05.000Z	2021-12-23T10:19:37.000Z	Models/Plant-disease-detection-CNN-Model.py	Apurva-tech/chlorophyll	2c9ed947e54489ed5434ac69db37bc30b854d880	[ "MIT" ]	null	null	null	Models/Plant-disease-detection-CNN-Model.py	Apurva-tech/chlorophyll	2c9ed947e54489ed5434ac69db37bc30b854d880	[ "MIT" ]	1	2021-06-08T08:18:16.000Z	2021-06-08T08:18:16.000Z	# -- coding: utf-8 -- """plant-disease-detection.ipynb Automatically generated by Colaboratory. Original file is located at https://colab.research.google.com/drive/1Sd0dBPtvXcR_Y214gmZjYosWkAQ46RXn <a href="https://colab.research.google.com/github/Manikanta-Munnangi/CROP---Plant-Disease-Identification-Using-App/blob/master/Cnn-Code/Crop.ipynb" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a> # Plant Disease Detection ## Mount the Drive to access model files """ from google.colab import drive drive.mount('/content/drive') cd /content/drive/MyDrive/Plant\ Disease\ Detection """Simple Neural Nets are good at learning the weights with one hidden layer which is in between the input and output layer. But, it’s not good at complex feature learning. On another hand Deep Learning Neural Nets, the series of layers between input and output layer are called hidden layers that can perform identification of features and creating new series of features from data, just as our brain. ![image.png](data:image/png;base64,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) # `1.Import Libraries.` """ # Import Libraries import warnings warnings.filterwarnings("ignore") import os import glob import matplotlib.pyplot as plt # Keras API import keras from keras.models import Sequential from keras.layers import Dense,Dropout,Flatten from keras.layers import Conv2D,MaxPooling2D,Activation,AveragePooling2D,BatchNormalization from keras.preprocessing.image import ImageDataGenerator """# `2.Load Data into Train and Test Variables.`""" # My data is in google drive. train_dir ="../input/tomatoleaf/tomato/train" test_dir="../input/tomatoleaf/tomato/val" """# `3.Function To count Images In Each Data Set.`""" # function to get count of images def get_files(directory): if not os.path.exists(directory): return 0 count=0 for current_path,dirs,files in os.walk(directory): for dr in dirs: count+= len(glob.glob(os.path.join(current_path,dr+"/"))) return count train_samples =get_files(train_dir) num_classes=len(glob.glob(train_dir+"/")) test_samples=get_files(test_dir) # For testing i took only few samples from unseen data. we can evaluate using validation data which is part of train data. print(num_classes,"Classes") print(train_samples,"Train images") print(test_samples,"Test images") # Preprocessing data. train_datagen=ImageDataGenerator(rescale=1./255, shear_range=0.2, zoom_range=0.2, validation_split=0.2, # validation split 20%. horizontal_flip=True) test_datagen=ImageDataGenerator(rescale=1./255) # set height and width and color of input image. img_width,img_height =256,256 input_shape=(img_width,img_height,3) batch_size =32 train_generator =train_datagen.flow_from_directory(train_dir, target_size=(img_width,img_height), batch_size=batch_size) test_generator=test_datagen.flow_from_directory(test_dir,shuffle=True, target_size=(img_width,img_height), batch_size=batch_size) # The name of the 12 diseases. train_generator.class_indices # Take one image to visualize it's changes after every layer from keras.preprocessing import image import numpy as np img1 = image.load_img('../input/tomatoleaf/tomato/train/Tomato___Early_blight/0401adc0-0998-4d8e-90de-4eae8caf4248___RS_Erly.B 8446.JPG') plt.imshow(img1); #preprocess image img1 = image.load_img('../input/tomatoleaf/tomato/train/Tomato___Early_blight/0401adc0-0998-4d8e-90de-4eae8caf4248___RS_Erly.B 8446.JPG', target_size=(256, 256)) img = image.img_to_array(img1) img = img/255 img = np.expand_dims(img, axis=0) """# `4.CNN Parameter Building.` # CNN For implementation of our problem statement we decided to use CNN. Why Convolutional Neural Network(CNN or Conv Nets)? It is well known for its widely used in applications of image and video recognition and also in recommender systems and Natural Language Processing(NLP). However, convolutional is more efficient because it reduces the number of parameters which makes different from other deep learning models. ![image.png](data:image/png;base64,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) # CNN Layers Explanation * Convolution Operation * ReLU Layer (Rectified Linear Unit) * Pooling Layer (Max Pooling) * Flattening * Fully Connected Layer 1. Convolution is the first layer to extract features from the input image and it learns the relationship between features using kernel or filters with input images. 2. ReLU Layer: ReLU stands for the Rectified Linear Unit for a non-linear operation. The output is ƒ(x) = max(0,x). we use this because to introduce the non-linearity to CNN. 3. Pooling Layer: it is used to reduce the number of parameters by downsampling and retain only the valuable information to process further. There are types of Pooling: Max Pooling (Choose this). Average and Sum pooling. 4. Flattening: we flatten our entire matrix into a vector like a vertical one. so, that it will be passed to the input layer. 5. Fully Connected Layer: we pass our flatten vector into input Layer .we combined these features to create a model. Finally, we have an activation function such as softmax or sigmoid to classify the outputs. """ # CNN building. model = Sequential() model.add(Conv2D(32, (5, 5),input_shape=input_shape,activation='relu')) model.add(MaxPooling2D(pool_size=(3, 3))) model.add(Conv2D(32, (3, 3),activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3),activation='relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Flatten()) model.add(Dense(512,activation='relu')) model.add(Dropout(0.25)) model.add(Dense(128,activation='relu')) model.add(Dense(num_classes,activation='softmax')) model.summary() model_layers = [ layer.name for layer in model.layers] print('layer name : ',model_layers) # Visualizing output after every layer. from keras.models import Model conv2d_1_output = Model(inputs=model.input, outputs=model.get_layer('conv2d').output) max_pooling2d_1_output = Model(inputs=model.input,outputs=model.get_layer('max_pooling2d').output) conv2d_2_output = Model(inputs=model.input,outputs=model.get_layer('conv2d_1').output) max_pooling2d_2_output = Model(inputs=model.input,outputs=model.get_layer('max_pooling2d_1').output) conv2d_3_output = Model(inputs=model.input,outputs=model.get_layer('conv2d_2').output) max_pooling2d_3_output = Model(inputs=model.input,outputs=model.get_layer('max_pooling2d_2').output) flatten_1_output = Model(inputs=model.input,outputs=model.get_layer('flatten').output) conv2d_1_features = conv2d_1_output.predict(img) max_pooling2d_1_features = max_pooling2d_1_output.predict(img) conv2d_2_features = conv2d_2_output.predict(img) max_pooling2d_2_features = max_pooling2d_2_output.predict(img) conv2d_3_features = conv2d_3_output.predict(img) max_pooling2d_3_features = max_pooling2d_3_output.predict(img) flatten_1_features = flatten_1_output.predict(img) """# `5.Visualizing The Image After Every Layer.`""" import matplotlib.image as mpimg fig=plt.figure(figsize=(14,7)) columns = 8 rows = 4 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(conv2d_1_features[0, :, :, i], cmap='viridis') # Visualizing in color mode. plt.show() import matplotlib.image as mpimg fig=plt.figure(figsize=(14,7)) columns = 8 rows = 4 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(max_pooling2d_1_features[0, :, :, i], cmap='viridis') plt.show() import matplotlib.image as mpimg fig=plt.figure(figsize=(14,7)) columns = 8 rows = 4 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(conv2d_2_features[0, :, :, i], cmap='viridis') plt.show() # we can also visualize in color mode. import matplotlib.image as mpimg fig=plt.figure(figsize=(14,7)) columns = 8 rows = 4 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(max_pooling2d_2_features[0, :, :, i], cmap='viridis') plt.show() import matplotlib.image as mpimg fig=plt.figure(figsize=(16,16)) columns =8 rows = 8 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(conv2d_3_features[0, :, :, i], cmap='viridis') plt.show() import matplotlib.image as mpimg fig=plt.figure(figsize=(14,14)) columns = 8 rows = 8 for i in range(columnsrows): #img = mpimg.imread() fig.add_subplot(rows, columns, i+1) plt.axis('off') plt.title('filter'+str(i)) plt.imshow(max_pooling2d_3_features[0, :, :, i],cmap='viridis') plt.show() """# `6.Training The Model.`""" # validation data. validation_generator = train_datagen.flow_from_directory( train_dir, # same directory as training data target_size=(img_height, img_width), batch_size=batch_size) # Model building to get trained with parameters. opt=keras.optimizers.Adam(lr=0.001) model.compile(optimizer=opt,loss='categorical_crossentropy',metrics=['accuracy']) train=model.fit_generator(train_generator, epochs=15, steps_per_epoch=train_generator.samples // batch_size, validation_data=validation_generator, validation_steps= validation_generator.samples// batch_size,verbose=1) """# `7.Plot For Accuracy And Losses.`""" acc = train.history['accuracy'] val_acc = train.history['val_accuracy'] loss = train.history['loss'] val_loss = train.history['val_loss'] epochs = range(1, len(acc) + 1) #Train and validation accuracy plt.plot(epochs, acc, 'b', label='Training accurarcy') plt.plot(epochs, val_acc, 'r', label='Validation accurarcy') plt.title('Training and Validation accurarcy') plt.legend() plt.figure() #Train and validation loss plt.plot(epochs, loss, 'b', label='Training loss') plt.plot(epochs, val_loss, 'r', label='Validation loss') plt.title('Training and Validation loss') plt.legend() plt.show() """# `8. Evaluate model using unseen data.` """ score,accuracy =model.evaluate(test_generator,verbose=1) print("Test score is {}".format(score)) print("Test accuracy is {}".format(accuracy)) """# `9.Saving Model.` """ # Get classes of model trained on classes = train_generator.class_indices classes """# `10.Load Model.`""" # Loading model and predict. from keras.models import load_model model=load_model('crop.h5') model.load_weights('crop_weights.h5') Classes = ["Tomato___Bacterial_spot","Tomato___Early_blight","Tomato___Late_blight","Tomato___Leaf_Mold","Tomato___Septoria_leaf_spot","Tomato___Spider_mites Two-spotted_spider_mite","Tomato___Target_Spot", "Tomato___Tomato_Yellow_Leaf_Curl_Virus", "Tomato___Tomato_mosaic_virus","Tomato___healthy"] Classes = ["Tomato___Bacterial_spot","Tomato___Early_blight","Tomato___Late_blight","Tomato___Leaf_Mold","Tomato___Septoria_leaf_spot","Tomato___Spider_mites Two-spotted_spider_mite","Tomato___Target_Spot", "Tomato___Tomato_Yellow_Leaf_Curl_Virus", "Tomato___Tomato_mosaic_virus","Tomato___healthy"] len(Classes) """# `11.Time For Predictions.`""" import numpy as np import matplotlib.pyplot as plt import tensorflow as tf # Pre-Processing test data same as train data. img_width=256 img_height=256 #model.compile(optimizer='adam',loss='categorical_crossentropy',metrics=['accuracy']) from keras.preprocessing import image def prepare(img_path): img = image.load_img(img_path, target_size=(256, 256)) x = image.img_to_array(img) x = x/255 return tf.expand_dims(x, axis=0) result = model.predict_classes([prepare('/content/drive/MyDrive/Plant Disease Detection/0c09c121-e945-4b7e-acbf-dff4e0d01acb___GCREC_Bact.Sp 3379.JPG')]) disease = image.load_img('/content/drive/MyDrive/Plant Disease Detection/0c09c121-e945-4b7e-acbf-dff4e0d01acb___GCREC_Bact.Sp 3379.JPG') plt.imshow(disease) print (Classes[int(result)]) Classes = ["Tomato___Bacterial_spot","Tomato___Early_blight","Tomato___Late_blight","Tomato___Leaf_Mold","Tomato___Septoria_leaf_spot","Tomato___Spider_mites Two-spotted_spider_mite","Tomato___Target_Spot","Tomato___Tomato_mosaic_virus","Tomato___healthy"] print(Classes[9-1]) result2 = model.predict_classes([prepare('/content/drive/MyDrive/Plant Disease Detection/0ebf0c98-aeb9-4630-afa0-0c9a2dc32995___Matt.S_CG 6233.JPG')]) disease2=image.load_img('/content/drive/MyDrive/Plant Disease Detection/0ebf0c98-aeb9-4630-afa0-0c9a2dc32995___Matt.S_CG 6233.JPG') plt.imshow(disease2) print (Classes[int(result2)]) result2 = model.predict_classes([prepare('/content/drive/MyDrive/Plant Disease Detection/0de02a32-f166-4d67-bbb8-689e96d04c44___Crnl_L.Mold 8811.JPG')]) disease2=image.load_img('/content/drive/MyDrive/Plant Disease Detection/0de02a32-f166-4d67-bbb8-689e96d04c44___Crnl_L.Mold 8811.JPG') plt.imshow(disease2) print (Classes[int(result2)])	1,806.175439	408,212	0.962049	20,881	617,712	28.441885	0.881854	0.000303	0.000318	0.000283	0.006941	0.006035	0.005801	0.00573	0.005343	0.005322	0	0.153953	0.002953	617,712	342	408,213	1,806.175439	0.810337	0.001612	0.360976	1	0.039024	0.229012	0.140093	0	1	0	0	0	0	null	null	0	0.117073	null	null	0.04878	0	0	1	null	0	0	0	0	0	0	0	0	0	0	0	1	1	0	0	0	1	0	0	0	null	1	0	0	1	0	0	0	0	0	0	0	6
ca54b1c372ce187ea1c9dfbcbe79693cbd736fe6	115	py	Python	run.py	nanome-ai/plugin-knime-docking-WIP	5eef98e274b7b2794b5732c25111d37e922781e0	[ "MIT" ]	null	null	null	run.py	nanome-ai/plugin-knime-docking-WIP	5eef98e274b7b2794b5732c25111d37e922781e0	[ "MIT" ]	null	null	null	run.py	nanome-ai/plugin-knime-docking-WIP	5eef98e274b7b2794b5732c25111d37e922781e0	[ "MIT" ]	null	null	null	from nanome_knime_removehs_poc import KNIME_removeHs_POC if __name__ == '__main__': KNIME_removeHs_POC.main()	23	56	0.808696	16	115	4.875	0.5625	0.5	0.615385	0	0	0	0	0	0	0	0	0	0.121739	115	4	57	28.75	0.772277	0	0	0	0	0.069565	0	0	0	0	0	0	1	0	true	0	0.333333	0	0.333333	0	1	0	0	null	1	1	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	null	0	0	0	0	0	1	0	1	0	0	0	6

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