From 0615c8e6ea93f8cf210079f0f78bc03b2e11d454 Mon Sep 17 00:00:00 2001
From: New Author svkeerthy <cs17m20p100001@iith.ac.in>
Date: Wed, 2 Oct 2024 14:08:16 +0530
Subject: [PATCH 01/17] Fixing minor bugs in seedemb training

---
 seed_embeddings/OpenKE/config/Trainer.py      | 45 ++++++---
 .../OpenKE/generate_embedding_ray.py          | 95 +++++++------------
 2 files changed, 67 insertions(+), 73 deletions(-)

diff --git a/seed_embeddings/OpenKE/config/Trainer.py b/seed_embeddings/OpenKE/config/Trainer.py
index 6d05f1fc..b95f25f2 100755
--- a/seed_embeddings/OpenKE/config/Trainer.py
+++ b/seed_embeddings/OpenKE/config/Trainer.py
@@ -54,7 +54,7 @@ def __init__(
         # self.out_path = out_path
         
         self.entity_names = self.load_entity_names(index_dir)
-        self.analogies = analogy.AnalogyScorer(analogy_file="analogies.txt")
+        self.analogies = analogy.AnalogyScorer(analogy_file="/lfs1/usrscratch/staff/nvk1tb/IR2Vec/seed_embeddings/OpenKE/analogies.txt")
         
     def load_entity_names(self, index_dir):
         with open(os.path.join(index_dir, "entity2id.txt")) as fEntity:
@@ -94,7 +94,7 @@ def getEntityDict(self, ent_embeddings):
         """
         entity_dict = {}
         
-        for i, entity_name in enumerate(self.entity_dict):
+        for i, entity_name in enumerate(self.entity_names):
             entity_dict[entity_name] = ent_embeddings[i].tolist()
 
         return entity_dict
@@ -139,7 +139,7 @@ def run(
                 weight_decay=self.weight_decay,
             )
         print("Finish initializing...")
-
+        best_metric_val = 0.0
         training_range = tqdm(range(self.train_times))
         for epoch in training_range:
             res = 0.0
@@ -148,6 +148,7 @@ def run(
                 res += loss
             training_range.set_description("Epoch %d | loss: %f" % (epoch, res))
             checkpoint = None
+            save_ckpt = False
             if ray and epoch % freq == 0:
                 metrics = {"loss": res}
                 # Link Prediction
@@ -170,27 +171,43 @@ def run(
                             "hit1": hit1,
                         }
                     )
+                    if best_metric_val <= hit1:
+                        best_metric_val = hit1
+                        save_ckpt = True
                     print("Link Prediction Scores Completed")
 
-                if is_analogy:
+                elif is_analogy:
                     # self.model => Negative Sampling object
                     # self.mode.model => Transe model
 
-                    ent_embeddings = self.model.model.ent_embeddings.weight.data.numpy()
+                    ent_embeddings = self.model.model.ent_embeddings.weight.data.cpu().numpy()
                     entity_dict = self.getEntityDict(ent_embeddings)
                     analogy_score = self.analogies.get_analogy_score(entity_dict)
                     metrics.update({"AnalogiesScore": analogy_score})
-                    print("Analogy Score Completed")
-
+                    print("Analogy Score completed")
+                    
+                    del entity_dict
+                    
+                    if best_metric_val <= analogy_score:
+                        best_metric_val = analogy_score
+                        save_ckpt = True
+
+                else: # loss
+                    if best_metric_val >= res:
+                        best_metric_val = res
+                        save_ckpt = True
+                
                 with tempfile.TemporaryDirectory() as temp_checkpoint_dir:
-                    # Save the checkpoint...
-                    self.model.save_checkpoint(
-                        os.path.join(
-                            temp_checkpoint_dir,
-                            "checkpoint" + "-" + str(epoch) + ".ckpt",
+                        # Save the checkpoint...
+                    checkpoint = None
+                    if save_ckpt:
+                        self.model.save_checkpoint(
+                            os.path.join(
+                                temp_checkpoint_dir,
+                                "checkpoint" + "-" + str(epoch) + ".ckpt",
+                            )
                         )
-                    )
-                    checkpoint = Checkpoint.from_directory(temp_checkpoint_dir)
+                        checkpoint = Checkpoint.from_directory(temp_checkpoint_dir)
 
                     train.report(metrics, checkpoint=checkpoint)
 
diff --git a/seed_embeddings/OpenKE/generate_embedding_ray.py b/seed_embeddings/OpenKE/generate_embedding_ray.py
index f0f84807..f3953d92 100644
--- a/seed_embeddings/OpenKE/generate_embedding_ray.py
+++ b/seed_embeddings/OpenKE/generate_embedding_ray.py
@@ -25,7 +25,7 @@
 from ray.tune.schedulers import ASHAScheduler
 from ray.tune.search.optuna import OptunaSearch
 
-os.environ["CUDA_VISIBLE_DEVICES"] = "0"
+os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
 
 
 def test_files(index_dir):
@@ -199,7 +199,7 @@ def findRep(src, dest, index_dir, src_type="json"):
 
     search_space = {
         "epoch": arg_conf.epoch,
-        "dim": tune.sample_from(lambda spec: 100 * np.random.randint(1, 6)),
+        "dim": arg_conf.dim,
         "index_dir": arg_conf.index_dir,
         "nbatches": tune.sample_from(lambda spec: 2 ** np.random.randint(8, 12)),
         "margin": tune.quniform(3, 6, 0.5),
@@ -222,38 +222,28 @@ def findRep(src, dest, index_dir, src_type="json"):
         raise Exception("Error in files")
 
     if arg_conf.is_analogy:
-        scheduler = ASHAScheduler(
-            time_attr="training_iteration",
-            max_t=arg_conf.epoch,
-            grace_period=15,
-            reduction_factor=3,
-            metric="AnalogiesScore",
-            mode="max",
-        )
-        optuna = OptunaSearch(metric="AnalogiesScore", mode="max")
+        metric = "AnalogiesScore"
+        mode = "max"
     elif arg_conf.link_pred:
-        scheduler = ASHAScheduler(
-            time_attr="training_iteration",
-            max_t=arg_conf.epoch,
-            grace_period=15,
-            reduction_factor=3,
-            metric="hit1",
-            mode="max",
-        )
-        optuna = OptunaSearch(metric="hit1", mode="max")
+        metric = "hit1"
+        mode = "max"
     else:
-        scheduler = ASHAScheduler(
-            time_attr="training_iteration",
-            max_t=arg_conf.epoch,
-            grace_period=15,
-            reduction_factor=3,
-            metric="loss",
-            mode="min",
-        )
-        optuna = OptunaSearch(metric="loss", mode="min")
+        metric = "loss"
+        mode = "min"
+        
+    scheduler = ASHAScheduler(
+        time_attr="training_iteration",
+        max_t=arg_conf.epoch,
+        grace_period=15,
+        reduction_factor=3,
+        metric=metric,
+        mode=mode,
+    )
+    optuna = OptunaSearch(metric=metric, mode=mode)
+
     if arg_conf.use_gpu:
         train_with_resources = tune.with_resources(
-            train, resources={"cpu": 0, "gpu": 0.0625}
+            train, resources={"cpu": 8, "gpu": 0.15}
         )
     else:
         train_with_resources = tune.with_resources(
@@ -265,60 +255,47 @@ def findRep(src, dest, index_dir, src_type="json"):
         param_space=search_space,
         tune_config=TuneConfig(
             search_alg=optuna,
-            max_concurrent_trials=16,
+            max_concurrent_trials=12,
             scheduler=scheduler,
             num_samples=512,
         ),
         run_config=RunConfig(
+            storage_path="/lfs1/usrscratch/staff/nvk1tb/ray_results/",
             checkpoint_config=CheckpointConfig(
                 num_to_keep=1,
                 # *Best* checkpoints are determined by these params:
-                checkpoint_score_attribute="loss",
-                checkpoint_score_order="min",
+                checkpoint_score_attribute=metric,
+                checkpoint_score_order=mode,
             )
         ),
     )
     results = tuner.fit()
 
     # Write the best result to a file, best_result.txt
-    best_result = None
-    if arg_conf.is_analogy:
-
-        with open(os.path.join(search_space["index_dir"], "best_result.txt"), "a") as f:
-            f.write(
-                "\n" + str(results.get_best_result(metric="AnalogiesScore", mode="max"))
-            )
+    fin_res = results.get_best_result(metric=metric, mode=mode)
+    with open(os.path.join(search_space["index_dir"], "best_result.txt"), "a") as f:
+        f.write(
+            "\n" + str(fin_res)
+        )
 
+    if arg_conf.is_analogy:
         print(
             "Best Config Based on Analogy Score : ",
-            results.get_best_result(metric="AnalogiesScore", mode="max"),
+            fin_res,
         )
-
-        best_result = results.get_best_result(metric="AnalogiesScore", mode="max")
-
     elif arg_conf.link_pred:
-
-        with open(os.path.join(search_space["index_dir"], "best_result.txt"), "a") as f:
-            f.write("\n" + str(results.get_best_result(metric="hit1", mode="max")))
-
         print(
             "Best Config Based on Hit1 : ",
-            results.get_best_result(metric="hit1", mode="max"),
+            fin_res,
         )
-        best_result = results.get_best_result(metric="hit1", mode="max")
     else:
-
-        with open(os.path.join(search_space["index_dir"], "best_result.txt"), "a") as f:
-            f.write("\n" + str(results.get_best_result(metric="loss", mode="min")))
-
         print(
             "Best Config Based on Loss : ",
-            results.get_best_result(metric="loss", mode="min"),
+            fin_res,
         )
-        best_result = results.get_best_result(metric="loss", mode="min")
-
+    
     # Get the best configuration
-    best_config = best_result.config
+    best_config = fin_res.config
 
     # Extract the values for constructing the file name
     epoch = best_config["epoch"]
@@ -337,7 +314,7 @@ def findRep(src, dest, index_dir, src_type="json"):
             margin,
         ),
     )
-    best_checkpoint_path = best_result.checkpoint.path
+    best_checkpoint_path = fin_res.checkpoint.path
     print("best_checkpoint_path is: ", best_checkpoint_path)
     file_name = os.listdir(best_checkpoint_path)[0]
     print("file_name is: ", file_name)

From a379155cc24265f8c46bb28734606c0c2c842300 Mon Sep 17 00:00:00 2001
From: svkeerthy <cs17m20p100001@iith.ac.in>
Date: Sat, 5 Oct 2024 19:04:59 +0530
Subject: [PATCH 02/17] Fixing minor bugs in vocab gen

---
 seed_embeddings/OpenKE/config/Trainer.py      |   4 +-
 .../OpenKE/generate_embedding_ray.py          | 206 +++++++++++-------
 2 files changed, 126 insertions(+), 84 deletions(-)

diff --git a/seed_embeddings/OpenKE/config/Trainer.py b/seed_embeddings/OpenKE/config/Trainer.py
index b95f25f2..edc35671 100755
--- a/seed_embeddings/OpenKE/config/Trainer.py
+++ b/seed_embeddings/OpenKE/config/Trainer.py
@@ -34,7 +34,7 @@ def __init__(
         save_steps=None,
         checkpoint_dir=None,
         index_dir=None,
-        out_path=None,
+        analogy_file="analogies.txt",
     ):
 
         self.work_threads = 8
@@ -54,7 +54,7 @@ def __init__(
         # self.out_path = out_path
         
         self.entity_names = self.load_entity_names(index_dir)
-        self.analogies = analogy.AnalogyScorer(analogy_file="/lfs1/usrscratch/staff/nvk1tb/IR2Vec/seed_embeddings/OpenKE/analogies.txt")
+        self.analogies = analogy.AnalogyScorer(analogy_file=analogy_file)
         
     def load_entity_names(self, index_dir):
         with open(os.path.join(index_dir, "entity2id.txt")) as fEntity:
diff --git a/seed_embeddings/OpenKE/generate_embedding_ray.py b/seed_embeddings/OpenKE/generate_embedding_ray.py
index f3953d92..8d7c1d26 100644
--- a/seed_embeddings/OpenKE/generate_embedding_ray.py
+++ b/seed_embeddings/OpenKE/generate_embedding_ray.py
@@ -27,7 +27,6 @@
 
 os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
 
-
 def test_files(index_dir):
     entities = os.path.join(index_dir, "entity2id.txt")
     relations = os.path.join(index_dir, "relation2id.txt")
@@ -41,67 +40,56 @@ def test_files(index_dir):
     if not os.path.exists(train):
         raise Exception("train2id.txt not found")
 
-
-# TODO :: alpha, lmda, bern, opt_method
-def train(arg_conf):
-
-    try:
-        test_files(arg_conf["index_dir"])
-        print("Files are OK")
-    except:
-        print(arg_conf)
-        print("Error in files")
-        raise Exception("Error in files")
-
+def train(config, args=None):
     # dataloader for training
-
     train_dataloader = TrainDataLoader(
-        in_path=arg_conf["index_dir"],
-        nbatches=arg_conf["nbatches"],
+        in_path=args.index_dir,
+        batch_size=config["batch_size"],
         threads=4,
         sampling_mode="normal",
-        bern_flag=arg_conf["bern"],
+        # bern_flag=config["bern"],
         filter_flag=1,
-        neg_ent=arg_conf["neg_ent"],
-        neg_rel=arg_conf["neg_rel"],
+        # neg_ent=config["neg_ent"],
+        # neg_rel=config["neg_rel"],
     )
     # dataloader for test (link prediction)
-    if arg_conf["link_pred"]:
-        test_dataloader = TestDataLoader(arg_conf["index_dir"], "link")
+    if args.link_pred:
+        test_dataloader = TestDataLoader(args.index_dir, "link")
     else:
         test_dataloader = None
 
     transe = TransE(
         ent_tot=train_dataloader.get_ent_tot(),
         rel_tot=train_dataloader.get_rel_tot(),
-        dim=arg_conf["dim"],
+        dim=args.dim,
         p_norm=1,
         norm_flag=True,
     )
     # define the loss function
     model = NegativeSampling(
         model=transe,
-        loss=MarginLoss(margin=arg_conf["margin"]),
+        loss=MarginLoss(margin=config["margin"]),
         batch_size=train_dataloader.get_batch_size(),
     )
     # train the model
     trainer = Trainer(
         model=model,
         data_loader=train_dataloader,
-        train_times=arg_conf["epoch"],
-        alpha=arg_conf["alpha"],
-        index_dir=arg_conf["index_dir"],
-        use_gpu=arg_conf["use_gpu"],
+        train_times=args.epoch,
+        alpha=config["alpha"],
+        index_dir=args.index_dir,
+        use_gpu=args.use_gpu,
+        analogy_file=args.analogy_file,
     )
     trainer.run(
-        link_prediction=arg_conf["link_pred"],
+        link_prediction=args.link_pred,
         test_dataloader=test_dataloader,
         model=transe,
-        is_analogy=arg_conf["is_analogy"],
+        is_analogy=args.is_analogy,
     )
 
 
-def findRep(src, dest, index_dir, src_type="json"):
+def findRep(src, index_dir, src_type="json"):
     rep = None
     if src_type == "json":
         with open(src) as fSource:
@@ -116,22 +104,52 @@ def findRep(src, dest, index_dir, src_type="json"):
     with open(os.path.join(index_dir, "entity2id.txt")) as fEntity:
         content = fEntity.read()
 
-    with open(dest, "w") as fDest:
-        entities = content.split("\n")
-        toTxt = ""
+    entities = content.split("\n")
+    toTxt = ""
+    for i in range(1, int(entities[0])):
+        toTxt += entities[i].split("\t")[0] + ":" + str(rep[i - 1]) + ",\n"
+    toTxt += (
+        entities[int(entities[0])].split("\t")[0]
+        + ":"
+        + str(rep[int(entities[0]) - 1])
+    )
+    return toTxt
 
-        for i in range(1, int(entities[0])):
-            toTxt += entities[i].split("\t")[0] + ":" + str(rep[i - 1]) + ",\n"
-        toTxt += (
-            entities[int(entities[0])].split("\t")[0]
-            + ":"
-            + str(rep[int(entities[0]) - 1])
-        )
-        fDest.write(toTxt)
+def reformat_embeddings(data):
+    result = []
+    current_line = ""
+    is_inside_brackets = False  
 
+    for line in data.splitlines():
+        line = line.strip()
+    
+        if '[' in line:
+            is_inside_brackets = True
+    
+            opening_bracket_index = line.index('[')
+            current_line += line[:opening_bracket_index + 1] + line[opening_bracket_index + 1:].lstrip()
+    
+            numbers_part = current_line.split('[')[1].strip()  
+            if numbers_part:
+                numbers = numbers_part.split()  
+                current_line = current_line.split('[')[0] + '[' + ', '.join(numbers)  
+    
+        elif ']' in line:
+    
+            numbers = line.split(']')[0].split()  
+            current_line += ', '.join(numbers) + ']' 
+            is_inside_brackets = False
+            result.append(current_line)
+            current_line = ""  
+    
+        elif is_inside_brackets:
+            numbers = line.split() 
+            current_line += ', ' + ', '.join(numbers)  
+    
+    return '\n'.join(result)
 
-if __name__ == "__main__":
 
+if __name__ == "__main__":
     ray.init()
     parser = argparse.ArgumentParser()
     parser.add_argument(
@@ -145,7 +163,6 @@ def findRep(src, dest, index_dir, src_type="json"):
     parser.add_argument(
         "--epoch", dest="epoch", help="Epochs", required=False, type=int, default=1000
     )
-
     parser.add_argument(
         "--is_analogy",
         dest="is_analogy",
@@ -170,10 +187,9 @@ def findRep(src, dest, index_dir, src_type="json"):
         type=int,
         default=300,
     )
-
     parser.add_argument(
-        "--nbatches",
-        dest="nbatches",
+        "--batch_size",
+        dest="batch_size",
         help="Number of batches",
         required=False,
         type=int,
@@ -195,27 +211,46 @@ def findRep(src, dest, index_dir, src_type="json"):
         type=bool,
         default=False,
     )
+    parser.add_argument(
+        "--storage_path",
+        dest="storage_path",
+        help="Path to store the ray results",
+        required=False,
+        type=str,
+        default=os.path.join(os.path.expanduser("~"), "ray_results"),
+    )
+    parser.add_argument(
+        "--analogy_file",
+        dest="analogy_file",
+        help="Path to the analogy file",
+        required=False,
+        type=str,
+        default="./analogies.txt",
+    )
+    
     arg_conf = parser.parse_args()
+    arg_conf.index_dir = arg_conf.index_dir + "/"
+    
+    try:
+        test_files(arg_conf.index_dir)
+        print("Files are OK")
+    except Exception as e:
+        print("Exception: ", e)
+        print("Error in files")
+        raise Exception("Error in files")
 
     search_space = {
-        "epoch": arg_conf.epoch,
-        "dim": arg_conf.dim,
-        "index_dir": arg_conf.index_dir,
-        "nbatches": tune.sample_from(lambda spec: 2 ** np.random.randint(8, 12)),
-        "margin": tune.quniform(3, 6, 0.5),
+        "batch_size": tune.sample_from(lambda spec: 2 ** np.random.randint(8, 12)),
+        "margin": tune.quniform(0.2, 6, 0.2),
         "alpha": tune.loguniform(1e-4, 1e-1),
-        "neg_ent": tune.randint(1, 30),
-        "neg_rel": tune.randint(1, 30),
-        "bern": tune.randint(0, 2),
-        "opt_method": tune.choice(["SGD", "Adam"]),
-        # "opt_method": tune.choice(["SGD", "Adagrad", "Adam", "Adadelta"]),
-        "is_analogy": arg_conf.is_analogy,
-        "link_pred": arg_conf.link_pred,
-        "use_gpu": arg_conf.use_gpu,
+        # "neg_ent": tune.randint(1, 30),
+        # "neg_rel": tune.randint(1, 30),
+        # "bern": tune.randint(0, 2),
+        "opt_method": "Adam", #tune.choice(["SGD", "Adam"]),
     }
 
     try:
-        test_files(search_space["index_dir"])
+        test_files(arg_conf.index_dir)
         print("Files are OK")
     except:
         print("Error in files")
@@ -234,7 +269,7 @@ def findRep(src, dest, index_dir, src_type="json"):
     scheduler = ASHAScheduler(
         time_attr="training_iteration",
         max_t=arg_conf.epoch,
-        grace_period=15,
+        grace_period=10,
         reduction_factor=3,
         metric=metric,
         mode=mode,
@@ -243,11 +278,13 @@ def findRep(src, dest, index_dir, src_type="json"):
 
     if arg_conf.use_gpu:
         train_with_resources = tune.with_resources(
-            train, resources={"cpu": 8, "gpu": 0.15}
+            tune.with_parameters(train, args = arg_conf),
+            resources={"cpu": 8, "gpu": 0.15}
         )
     else:
         train_with_resources = tune.with_resources(
-            train, resources={"cpu": 10, "gpu": 0}
+            tune.with_parameters(train, args = arg_conf),
+            resources={"cpu": 10, "gpu": 0}
         )
 
     tuner = tune.Tuner(
@@ -257,10 +294,10 @@ def findRep(src, dest, index_dir, src_type="json"):
             search_alg=optuna,
             max_concurrent_trials=12,
             scheduler=scheduler,
-            num_samples=512,
+            num_samples=128,
         ),
         run_config=RunConfig(
-            storage_path="/lfs1/usrscratch/staff/nvk1tb/ray_results/",
+            storage_path=arg_conf.storage_path,
             checkpoint_config=CheckpointConfig(
                 num_to_keep=1,
                 # *Best* checkpoints are determined by these params:
@@ -273,7 +310,7 @@ def findRep(src, dest, index_dir, src_type="json"):
 
     # Write the best result to a file, best_result.txt
     fin_res = results.get_best_result(metric=metric, mode=mode)
-    with open(os.path.join(search_space["index_dir"], "best_result.txt"), "a") as f:
+    with open(os.path.join(arg_conf.index_dir, "best_result.txt"), "a") as f:
         f.write(
             "\n" + str(fin_res)
         )
@@ -296,21 +333,22 @@ def findRep(src, dest, index_dir, src_type="json"):
     
     # Get the best configuration
     best_config = fin_res.config
-
+    print("best_config: ", best_config)
     # Extract the values for constructing the file name
-    epoch = best_config["epoch"]
-    dim = best_config["dim"]
-    nbatches = best_config["nbatches"]
+    dim = arg_conf.dim
+    batch_size = best_config["batch_size"]
     margin = best_config["margin"]
-    index_dir = best_config["index_dir"]
+    alpha = best_config["alpha"]
+    index_dir = arg_conf.index_dir
 
     # Construct the output file name using the best hyperparameters
     outfile = os.path.join(
         index_dir,
-        "seedEmbedding_{}E_{}D_{}batches_{}margin.ckpt".format(
-            epoch,
+        "seedEmbedding_{}_{}Dim_{}Alpha_{}batchsize_{}margin.ckpt".format(
+            metric,
             dim,
-            nbatches,
+            alpha,
+            batch_size,
             margin,
         ),
     )
@@ -327,20 +365,24 @@ def findRep(src, dest, index_dir, src_type="json"):
 
         embeddings_path = os.path.join(
             index_dir,
-            "embeddings/seedEmbedding_{}E_{}D_{}batches{}margin.txt".format(
-                epoch,
+            "seedEmbedding_{}_{}Dim_{}Alpha_{}batchsize_{}margin.ckpt".format(
+                metric,
                 dim,
-                nbatches,
+                alpha,
+                batch_size,
                 margin,
             ),
         )
+        
+        data = findRep(outfile, index_dir, src_type="ckpt")
+        formatted_data = reformat_embeddings(data)
+        
+        # Write the embeddings to outfile
+        embeddings_path = embeddings_path.replace(".ckpt", ".txt")
         print("embeddings_path: ", embeddings_path)
-        findRep(outfile, embeddings_path, index_dir, src_type="ckpt")
+        with open(embeddings_path, "w") as f:
+            f.write(formatted_data)
     else:
         print("No .ckpt file found in the source directory.")
 
-    for result in results:
-        print(result)
     del results
-
-    print("Training finished...")

From 533445d761e7bf9e38a6552249321df5a0912b8d Mon Sep 17 00:00:00 2001
From: svkeerthy <cs17m20p100001@iith.ac.in>
Date: Mon, 7 Oct 2024 22:45:56 +0530
Subject: [PATCH 03/17] Vocab for different dims and fixing minor issues in
 vocab training

---
 .../OpenKE/generate_embedding_ray.py          | 55 +++++++---------
 vocabulary/seedEmbeddingVocab100D.txt         | 63 +++++++++++++++++++
 ...ngVocab.txt => seedEmbeddingVocab300D.txt} |  0
 vocabulary/seedEmbeddingVocab75D.txt          | 63 +++++++++++++++++++
 4 files changed, 150 insertions(+), 31 deletions(-)
 create mode 100644 vocabulary/seedEmbeddingVocab100D.txt
 rename vocabulary/{seedEmbeddingVocab.txt => seedEmbeddingVocab300D.txt} (100%)
 create mode 100644 vocabulary/seedEmbeddingVocab75D.txt

diff --git a/seed_embeddings/OpenKE/generate_embedding_ray.py b/seed_embeddings/OpenKE/generate_embedding_ray.py
index 8d7c1d26..615371f2 100644
--- a/seed_embeddings/OpenKE/generate_embedding_ray.py
+++ b/seed_embeddings/OpenKE/generate_embedding_ray.py
@@ -9,6 +9,7 @@
 import json
 import argparse
 import shutil
+import re
 
 from config import Trainer, Tester
 from module.model import TransE
@@ -115,39 +116,31 @@ def findRep(src, index_dir, src_type="json"):
     )
     return toTxt
 
-def reformat_embeddings(data):
-    result = []
-    current_line = ""
-    is_inside_brackets = False  
-
-    for line in data.splitlines():
-        line = line.strip()
-    
-        if '[' in line:
-            is_inside_brackets = True
-    
-            opening_bracket_index = line.index('[')
-            current_line += line[:opening_bracket_index + 1] + line[opening_bracket_index + 1:].lstrip()
-    
-            numbers_part = current_line.split('[')[1].strip()  
-            if numbers_part:
-                numbers = numbers_part.split()  
-                current_line = current_line.split('[')[0] + '[' + ', '.join(numbers)  
-    
-        elif ']' in line:
+def reformat_embeddings(input_str):
+    # Split the string by '],' to isolate each object
+    entries = input_str.split('],')
     
-            numbers = line.split(']')[0].split()  
-            current_line += ', '.join(numbers) + ']' 
-            is_inside_brackets = False
-            result.append(current_line)
-            current_line = ""  
+    formatted_entries = []
     
-        elif is_inside_brackets:
-            numbers = line.split() 
-            current_line += ', ' + ', '.join(numbers)  
+    for entry in entries:
+        # Remove any newline characters
+        cleaned_entry = entry.replace('\n', ' ')
+        
+        # Split the object name from the values part
+        obj_name, values = cleaned_entry.split(':[')
+        
+        # Remove extra spaces and replace multiple spaces with a single one using regex
+        values = re.sub(r'\s+', ' ', values.split(']')[0].strip())
+        
+        # Replace spaces between numbers with commas and add the closing bracket
+        formatted_values = values.replace(' ', ', ') + ']'
+        
+        # Recombine the object name with the formatted values
+        formatted_entry = f"{obj_name.strip()}:[{formatted_values}"
+        formatted_entries.append(formatted_entry)
     
-    return '\n'.join(result)
-
+    # Join all entries back into one string, separated by newline
+    return '\n'.join(formatted_entries)
 
 if __name__ == "__main__":
     ray.init()
@@ -274,7 +267,7 @@ def reformat_embeddings(data):
         metric=metric,
         mode=mode,
     )
-    optuna = OptunaSearch(metric=metric, mode=mode)
+    optuna = OptunaSearch(metric="loss", mode="min")
 
     if arg_conf.use_gpu:
         train_with_resources = tune.with_resources(
diff --git a/vocabulary/seedEmbeddingVocab100D.txt b/vocabulary/seedEmbeddingVocab100D.txt
new file mode 100644
index 00000000..9bc6b11a
--- /dev/null
+++ b/vocabulary/seedEmbeddingVocab100D.txt
@@ -0,0 +1,63 @@
+add:[-8.52362216e-02, -2.45945796e-01, -4.24607731e-02, 2.64923483e-01, -1.41214542e-02, -1.07707255e-01, 4.51593101e-02, 1.02487214e-01, -1.48341414e-02, 1.81787178e-01, 6.67016208e-02, 4.46189977e-02, -8.23750347e-02, 1.83093518e-01, 3.32678035e-02, -1.46622390e-01, -4.92643900e-02, -2.55224146e-02, 6.04326949e-02, 1.88715130e-01, -3.68193164e-02, 6.94231167e-02, 4.10126410e-02, -6.84764013e-02, 1.23058945e-01, -9.83736390e-05, -5.54158911e-03, 2.94519085e-02, 2.26749685e-02, 1.17240392e-01, 6.11324720e-02, -1.81771517e-01, -1.76415052e-02, -4.01592515e-02, 1.78097621e-01, 7.06670852e-03, -4.57172357e-02, -1.50619969e-01, -9.44827124e-02, -1.75480068e-01, -7.60255978e-02, 1.07171066e-01, 2.22498715e-01, 7.22258165e-02, 7.20588341e-02, -1.16421148e-01, -9.41838771e-02, 1.80813923e-01, -8.05889741e-02, 1.46086052e-01, -9.98349935e-02, 3.29788476e-02, -9.92206857e-02, 9.08804759e-02, 3.78689431e-02, 5.88943586e-02, -4.59491797e-02, -8.29120278e-02, 7.95054361e-02, 1.78439990e-02, -2.58509982e-02, 7.56616369e-02, 1.04568325e-01, -1.56202599e-01, -2.57734563e-02, 1.93596855e-02, 1.29040807e-01, -8.24761093e-02, -1.73545837e-01, 1.42969966e-01, -1.28778622e-01, -3.95107232e-02, 1.33133652e-02, -3.37289199e-02, -6.24400079e-02, -1.31070897e-01, -4.30826917e-02, -1.26567945e-01, -2.15651900e-01, -5.67506291e-02, -3.29258330e-02, 1.65608257e-01, -1.88492145e-02, 2.33287752e-01, 3.00378054e-02, -1.76738545e-01, -8.04325193e-02, 1.87702760e-01, -2.39736848e-02, -9.85645577e-02, 3.72615233e-02, -1.12956636e-01, -9.50063169e-02, 3.42431143e-02, 1.22220606e-01, -5.39523130e-03, 1.98720489e-03, 9.11523402e-03, -6.93807155e-02, 6.17282577e-02]
+alloca:[-0.09549255, -0.12557219, 0.03379089, 0.12109557, -0.03531531, -0.2551805, 0.10788739, 0.09700596, -0.01370677, 0.1135722, 0.07690978, 0.05116574, -0.09614895, 0.19678918, 0.14742346, -0.00976098, 0.24440478, -0.03487564, -0.05972337, -0.07113709, -0.04069309, -0.00905408, 0.09381753, -0.05227873, 0.0185564, 0.00785588, 0.10815099, 0.09986073, 0.0029005, 0.12109574, 0.08769628, -0.07261439, -0.04622762, -0.11434357, 0.31857088, 0.05211561, -0.0501864, -0.08464269, -0.05009941, -0.16629553, -0.10458375, 0.03947812, 0.08374927, 0.02248335, 0.07524205, 0.12703352, 0.02529348, 0.05168853, -0.05606319, -0.13958237, -0.0585564, -0.05144294, -0.11440989, 0.12794414, 0.01429109, -0.02604704, 0.04282403, -0.17824344, -0.00103301, -0.00441383, -0.1290221, 0.11616968, 0.17841731, -0.17370644, 0.01878525, -0.13822994, 0.29534182, -0.08290374, -0.26018453, -0.2423333, 0.06269401, 0.15722081, 0.05572377, 0.03796894, 0.0097774, -0.09503853, -0.03461437, -0.18860193, 0.05917948, -0.05421929, 0.1554059, 0.06737203, 0.12789263, 0.18676774, -0.03264643, -0.14613546, 0.10640658, 0.04788931, 0.05284823, -0.07678876, -0.15884072, -0.09681277, -0.20900938, 0.13614763, 0.11053005, -0.01231453, 0.0082564, 0.01286345, 0.05174101, -0.03757114]
+and:[-0.0881869, -0.1832501, -0.02236259, -0.08309272, -0.01707565, -0.09593864, 0.05584465, 0.11377291, 0.0052051, 0.33537892, -0.02086726, -0.04760219, -0.07862076, 0.17689508, 0.06404671, -0.24831565, -0.04806908, -0.01249005, 0.06386451, 0.17768936, -0.03290997, 0.07213664, 0.0320717, -0.06150476, 0.08116434, 0.00066787, -0.09663099, 0.09602754, 0.02356921, 0.12101333, 0.05900703, -0.16276178, -0.03739112, -0.03569444, 0.15475409, -0.07160591, -0.04432394, -0.09916383, -0.00070206, -0.13641287, -0.0825344, 0.09731495, 0.21391882, 0.05829814, 0.16758765, 0.17819895, -0.10077256, 0.01100022, -0.15785712, -0.10925666, -0.19227467, 0.02036687, 0.03744258, 0.0705176, 0.01200844, 0.06924565, 0.02984295, 0.00166557, 0.01469694, 0.01338413, 0.00133804, 0.0685681, 0.06490856, -0.13547117, 0.13122046, -0.04225351, 0.12522636, -0.07368809, -0.23429681, 0.07449005, 0.08751217, -0.01046039, 0.03592191, 0.02029108, -0.10386209, 0.05748203, -0.27302966, -0.12220228, 0.09895118, -0.04531586, -0.02545726, 0.03405684, -0.01663586, -0.09172897, -0.02909598, -0.1601327, 0.08839633, 0.0608284, -0.09534211, -0.07028268, 0.03571701, -0.10825088, -0.11168069, 0.02237209, 0.09868738, -0.0014685, -0.00517186, -0.01344037, -0.09333953, -0.03477098]
+ashr:[-0.17676029, 0.10313923, -0.00422224, 0.04140399, 0.07537024, -0.09347995, 0.03889775, 0.1937052, 0.03877834, 0.12433453, -0.05621453, -0.09342647, 0.06852726, 0.11960614, 0.2329826, -0.08239498, -0.24359159, -0.02925007, 0.06965269, 0.05229177, -0.07672995, 0.02271152, 0.06093349, -0.01333139, 0.08810728, -0.0650942, -0.02691983, 0.11387724, 0.12446124, 0.08896013, 0.10819702, -0.05356165, -0.16467887, -0.13486785, 0.18615717, 0.09554695, -0.08764168, -0.00645575, -0.06144961, -0.2157099, -0.00717567, 0.02715934, 0.19245613, -0.02020936, -0.2103456, 0.01254946, -0.09238755, -0.08276135, 0.19606642, -0.14044479, -0.16258587, -0.1610684, -0.10104254, 0.15536247, -0.21380995, 0.06143969, -0.00510657, 0.06693038, 0.12561001, 0.05790403, 0.11904424, 0.06015869, 0.13805872, -0.34340182, -0.07052808, -0.07914555, 0.2187202, -0.05404146, 0.01415937, 0.01479177, 0.18482208, 0.0223961, -0.01074133, 0.18871637, -0.03872506, 0.02291136, 0.05926037, -0.1554712, -0.04937316, 0.03572288, 0.13166799, 0.3216803, -0.0597387, -0.10533224, 0.04918348, -0.12194781, 0.09272628, 0.08853518, 0.03546468, 0.00948116, -0.01518097, -0.10260459, -0.17166473, 0.1567235, 0.10187692, -0.04260992, 0.05165593, 0.09330627, -0.01242476, -0.10910615]
+bitcast:[-2.07878817e-02, -8.23711231e-02, 1.00722564e-02, 1.34550288e-01, -4.26665656e-02, -1.56117603e-01, 3.60176153e-02, 1.64358735e-01, 7.73761645e-02, 1.26678392e-01, -8.82288069e-03, -8.71955529e-02, -1.34099036e-01, 2.37952948e-01, -1.03015065e-01, -3.16375331e-03, -2.05897301e-01, -2.51553040e-02, 1.34449201e-02, 1.17931567e-01, 1.30053461e-02, 7.81119913e-02, 5.57484552e-02, -1.52201191e-01, 5.92403876e-06, -3.54858898e-02, -4.84898388e-02, 4.37163413e-02, -1.17184460e-01, 1.56913966e-01, 9.40292403e-02, -4.74243090e-02, 9.07661915e-02, -1.45079255e-01, 1.06205590e-01, -2.15000622e-02, -7.28723779e-02, -1.37063980e-01, 7.85234869e-02, -3.06736454e-02, -8.54443237e-02, -3.38093308e-03, 2.71273911e-01, 2.16092374e-02, 2.23694965e-01, 3.12910303e-02, 3.58200893e-02, 1.54731227e-02, -1.15724750e-01, -1.67987525e-01, -1.97159931e-01, -8.45486671e-02, -6.90428391e-02, -1.85478870e-02, -1.13298140e-01, -6.34974837e-02, 8.66320208e-02, -7.73959830e-02, -7.51477014e-03, -4.42927331e-02, 1.62011728e-01, 6.54485524e-02, 1.05205335e-01, -3.28130648e-02, 7.44132102e-02, -2.36125980e-02, 2.33616680e-02, -4.82202284e-02, -1.56079859e-01, 6.80682734e-02, 2.08332837e-01, 9.13671404e-02, 2.21654788e-01, -1.72201872e-01, -1.04779126e-02, -4.54562865e-02, 2.02677418e-02, 1.64413229e-02, -5.17942458e-02, 1.12812768e-03, 2.52170950e-01, 1.47572741e-01, -4.16345848e-03, -8.78667831e-02, 8.03434253e-02, -3.77238467e-02, -2.80345604e-03, 1.32836118e-01, -5.94768003e-02, 1.26690671e-01, -5.75769730e-02, -6.82438612e-02, -1.56382814e-01, 1.02906309e-01, 7.42264315e-02, -4.65768129e-02, -4.51054312e-02, 2.40943264e-02, -2.39319339e-01, -6.20513149e-02]
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\ No newline at end of file
diff --git a/vocabulary/seedEmbeddingVocab.txt b/vocabulary/seedEmbeddingVocab300D.txt
similarity index 100%
rename from vocabulary/seedEmbeddingVocab.txt
rename to vocabulary/seedEmbeddingVocab300D.txt
diff --git a/vocabulary/seedEmbeddingVocab75D.txt b/vocabulary/seedEmbeddingVocab75D.txt
new file mode 100644
index 00000000..08519c56
--- /dev/null
+++ b/vocabulary/seedEmbeddingVocab75D.txt
@@ -0,0 +1,63 @@
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+unreachable:[0.13830788, -0.1384795, 0.12985048, -0.01590925, -0.17242672, -0.16921625, -0.08732756, 0.06238424, -0.19026113, -0.0158169, 0.16435188, 0.02325607, -0.00133849, -0.12819748, -0.15801033, 0.06894314, -0.11699118, -0.03206338, -0.04867816, 0.08262745, -0.02899568, -0.17304559, 0.00456284, -0.1043093, -0.06316522, -0.19096501, 0.10812564, -0.17962073, -0.20548488, 0.1455722, 0.06589094, 0.03311252, -0.07200453, -0.18936579, 0.12057041, -0.19025533, -0.12212797, 0.1456004, -0.14757317, -0.15557618, -0.05640632, 0.14078732, 0.14334233, -0.16418514, 0.14397267, 0.0625571, 0.15891595, 0.07323151, -0.10111858, -0.14292835, 0.01567381, -0.10903962, 0.17538103, 0.08803182, -0.00309126, -0.14454287, 0.0691599, -0.11123948, 0.05696773, 0.09039135, 0.09839866, -0.05023813, -0.03404732, 0.02872319, 0.17865536, 0.13223949, -0.17297149, -0.16898467, 0.14986424, -0.10918473, 0.1600209, 0.15127546, 0.16981383, -0.1279901, 0.14220221]
+urem:[-0.11265117, 0.20686236, -0.12146873, -0.23542368, 0.09378337, 0.02999638, 0.14878128, -0.28188494, -0.20065261, 0.00433275, 0.16977304, -0.01879602, 0.22663146, 0.0617098, -0.1831158, 0.01779491, 0.03017136, -0.08971473, 0.07763614, 0.08042387, 0.09445225, -0.08793671, 0.0159521, -0.07481197, -0.05264295, -0.18723217, -0.08170687, -0.21142115, -0.1702957, -0.0912115, -0.15084253, -0.06110323, -0.1994154, 0.10485501, 0.02635208, -0.17529666, 0.08368196, -0.20547396, -0.13216047, -0.1626017, -0.03278501, -0.12043266, -0.13597806, 0.11791392, 0.16410512, 0.085006, 0.17119788, 0.20151798, 0.22284089, 0.03112911, -0.19075638, 0.10404129, 0.01210428, -0.01493562, -0.21803944, -0.00028815, 0.17211886, 0.1743311, -0.02144206, -0.18241248, 0.09792571, -0.04942631, -0.12507392, 0.14260796, -0.1524944, 0.19653419, -0.20759608, 0.22784927, 0.18324168, -0.03458956, 0.00935992, -0.05326611, -0.07238707, 0.04781368, -0.2394482]
+variable:[-0.04416586, -0.06529783, 0.06804077, -0.17281267, 0.21564505, -0.10317826, -0.04053801, -0.28083235, 0.11455013, -0.25391814, -0.09901162, -0.32934445, 0.22513658, -0.10261232, 0.10434292, -0.19085433, -0.02302103, 0.27024737, -0.11197262, -0.2376181, 0.28228357, 0.15263258, 0.12693042, 0.16975136, 0.29924616, 0.13014257, 0.02674635, -0.10427801, 0.1129915, 0.02840486, 0.17082089, 0.02872703, 0.3129407, 0.14322756, -0.20241754, 0.06491784, -0.08436896, 0.03400991, 0.07390775, -0.07466827, 0.3478845, 0.01303683, 0.26052088, 0.21157041, -0.25165147, -0.18953912, 0.07487449, -0.32147086, -0.072584, 0.20075838, 0.10203002, -0.06976248, -0.22996348, -0.15062493, -0.08361167, 0.1157522, 0.02569508, 0.0058547, -0.1650832, -0.1911111, 0.01633538, -0.13533501, -0.27804825, -0.05999075, 0.02358659, -0.07764025, -0.07134418, 0.14262564, -0.20307393, 0.17827222, 0.13546483, -0.24436948, 0.16881269, -0.08427223, -0.05620972]
+vectorTy:[0.06019246, -0.08325528, 0.06796158, -0.1322501, -0.05250492, -0.05546387, 0.00084803, -0.13031249, 0.10292219, 0.16610621, -0.10459585, 0.21548297, -0.26862848, 0.08505963, 0.07657417, 0.16639674, 0.06083921, -0.00245328, 0.01956977, 0.21975385, -0.16639455, 0.14512713, -0.15006405, -0.2066719, -0.18236274, 0.12637317, -0.09601986, 0.17929196, 0.15004157, -0.2437613, 0.11610509, -0.12576523, -0.13349846, 0.00924278, 0.05477205, 0.11079396, 0.0149577, 0.08251344, 0.02648669, 0.28141958, -0.16844293, 0.02850299, -0.1849258, -0.00724132, -0.19553263, 0.16303328, -0.09641571, -0.08541372, -0.01167152, -0.0498387, 0.13118263, 0.03702982, 0.16826656, -0.12130306, 0.05498985, 0.07180171, 0.01047648, 0.19805974, 0.1132893, 0.12827364, -0.15292895, -0.0969883, 0.15015276, 0.25131726, 0.03910673, -0.12237693, 0.12764196, 0.14949943, -0.11722989, -0.142063, 0.07540323, 0.00866951, -0.16423495, 0.1803801, 0.08819818]
+voidTy:[0.02707169, -0.1911424, 0.18000233, -0.10855684, -0.15720911, -0.16028677, 0.08442728, 0.14063193, 0.14310814, 0.15267418, 0.03571516, 0.17472863, -0.1096759, -0.04809512, 0.15041178, 0.1852203, -0.08891776, 0.06437854, 0.07771051, 0.17514206, -0.18457355, 0.17228611, 0.14382029, 0.17567936, -0.19985509, 0.14512071, 0.00597054, -0.0005212, 0.16043086, 0.01015274, 0.1932167, 0.10049, -0.18615878, -0.14139535, -0.07989334, 0.13810824, 0.00811669, 0.16482183, -0.0484471, 0.05603446, -0.19822212, 0.21622814, -0.13391475, -0.07386104, -0.01220543, -0.17700416, 0.02550385, -0.04609942, 0.19161303, -0.08407282, 0.17597687, 0.01678882, 0.17494556, -0.15565564, 0.18086468, 0.01991182, -0.07939529, -0.04929006, 0.17783763, 0.18024826, -0.14163949, 0.18041377, 0.11955009, 0.00620418, 0.1386835, -0.18642457, 0.09366929, 0.16274834, -0.12151442, -0.19673795, 0.0550727, 0.10491449, 0.14478931, -0.02286906, 0.05187593]
+xor:[-0.14333177, 0.17120288, -0.11569388, -0.22889645, 0.0944928, 0.13705893, -0.1748709, -0.27198055, -0.20403583, -0.00204914, 0.16587155, 0.03005969, 0.03635887, 0.12084309, -0.17170708, 0.01672503, 0.2855867, -0.13425359, 0.2921407, 0.0620962, 0.00266978, -0.0903588, -0.06116274, -0.08814006, -0.04630399, -0.18787035, -0.1754261, -0.20075771, -0.18573092, -0.11999942, -0.14531347, -0.171928, 0.04110451, -0.10397294, -0.03485578, -0.17938605, 0.08046042, -0.19675075, -0.14346175, -0.15566549, -0.0307311, -0.14872791, -0.03878547, -0.00254308, 0.1565295, 0.08097854, 0.16432391, 0.04949491, -0.17471117, 0.2079512, -0.17290911, 0.10197662, 0.01110592, 0.09702181, -0.21049088, -0.05485036, 0.16571115, 0.13224575, -0.00631514, -0.0666507, 0.10324501, 0.04556064, -0.0946413, 0.1366175, -0.14613271, 0.1439316, 0.01403525, -0.06756077, 0.15449193, 0.01570368, 0.00935933, -0.07182793, -0.05895546, 0.05251422, 0.00088228]
+zext:[0.14294301, 0.16004492, -0.133936, 0.17041178, 0.10354671, 0.14033805, -0.18445012, -0.25389433, -0.18157399, -0.06085023, 0.15627292, 0.05945444, 0.0152561, 0.11567469, -0.12275951, 0.01612445, 0.2721165, -0.12822908, 0.29646817, 0.06210494, -0.00723742, -0.1003171, -0.06575806, -0.05716129, -0.04435528, -0.16020222, -0.23530036, -0.18981609, -0.14945146, -0.11926567, -0.08064298, -0.2043876, 0.04202923, -0.10597136, -0.03096929, -0.17040831, 0.0771085, -0.18618186, 0.16527407, -0.14749476, -0.02966438, -0.14139591, 0.0018809, -0.02142575, 0.14795087, 0.07683742, -0.01349613, 0.04579562, -0.17163049, 0.02995836, -0.17292565, 0.11137506, 0.01039091, 0.13139422, -0.19006667, -0.09951284, 0.15722732, 0.12452687, -0.00450555, -0.02189622, 0.13461596, 0.06696767, -0.04037055, -0.13414587, -0.1399019, 0.1544194, 0.01091198, -0.0665535, 0.11422376, 0.00154535, -0.13661395, -0.04903502, -0.05472786, 0.05032588, 0.00220357]
\ No newline at end of file

From c196692201704655b84fca2f4063674e4b1afd92 Mon Sep 17 00:00:00 2001
From: svkeerthy <cs17m20p100001@iith.ac.in>
Date: Mon, 7 Oct 2024 22:46:29 +0530
Subject: [PATCH 04/17] Changes to support vocabulary of different dimensions

---
 src/CMakeLists.txt         |  67 ++++++++++-
 src/FlowAware.cpp          |   6 +-
 src/IR2Vec.cpp             |  18 +--
 src/Symbolic.cpp           |   4 +-
 src/generate_vocabulary.py | 237 ++++++++++++++++++++++++++-----------
 src/include/FlowAware.h    |   5 +-
 src/include/IR2Vec.h       |  23 ++--
 src/include/Symbolic.h     |   6 +-
 src/include/utils.h        |   6 +-
 src/libIR2Vec.cpp          |  15 +--
 src/utils.cpp              |   6 +-
 11 files changed, 281 insertions(+), 112 deletions(-)

diff --git a/src/CMakeLists.txt b/src/CMakeLists.txt
index e4c7adaa..c8f2b237 100644
--- a/src/CMakeLists.txt
+++ b/src/CMakeLists.txt
@@ -1,16 +1,69 @@
-
 configure_file (./include/version.h.cmake version.h @ONLY)
 include_directories(./include ${CMAKE_CURRENT_BINARY_DIR})
 include_directories(${CMAKE_BINARY_DIR})
-set(commonsrc FlowAware.cpp Symbolic.cpp utils.cpp)
-set(libsrc libIR2Vec.cpp ${commonsrc})
-set(binsrc CollectIR.cpp IR2Vec.cpp)
+
 option(LLVM_IR2VEC "where to enable IR2Vec as subproject for LLVM" OFF)
+
+set(GENERATED_HEADERS_DIR "${CMAKE_BINARY_DIR}/include")
+file(MAKE_DIRECTORY ${GENERATED_HEADERS_DIR})
+
+file(GLOB VOCAB_FILES "../vocabulary/seedEmbeddingVocab*D.txt")
+
+# List to hold supported dimensions
+set(DIMENSIONS "")
+
+foreach(VOCAB_FILE IN LISTS VOCAB_FILES)
+    get_filename_component(VOCAB_NAME ${VOCAB_FILE} NAME_WE)  # Extract just the file name
+    string(REGEX MATCH "[0-9]+" DIM ${VOCAB_NAME})
+    execute_process(
+        COMMAND python3 generate_vocabulary.py vocab ${VOCAB_FILE} ${GENERATED_HEADERS_DIR}
+        WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
+        RESULT_VARIABLE GENERATE_VOCABULARY_RESULT
+        OUTPUT_VARIABLE GENERATE_VOCABULARY_OUTPUT
+        ERROR_VARIABLE GENERATE_VOCABULARY_ERROR
+    )
+
+    if(NOT GENERATE_VOCABULARY_RESULT EQUAL 0)
+      message(FATAL_ERROR "Failed to generate vocabulary files: ${GENERATE_VOCABULARY_ERROR}")
+    else()
+      message(STATUS "Generated vocabulary file: Vocabulary${DIM}D.h")
+    endif()
+
+    list(APPEND DIMENSIONS ${DIM})
+endforeach()
+
+# Check if DIMENSIONS is not empty
+if(NOT DIMENSIONS)
+  message(FATAL_ERROR "No vocabulary files generated")
+endif()
+
+foreach(DIM ${DIMENSIONS})
+  list(APPEND GENERATED_VOCAB_HEADERS "${GENERATED_HEADERS_DIR}/Vocabulary${DIM}D.h")
+endforeach()
+
+string(REPLACE ";" "," DIMENSIONS "${DIMENSIONS}")
 execute_process(
-    COMMAND python3 generate_vocabulary.py -o ${CMAKE_BINARY_DIR}/vocabulary.h
+    COMMAND python3 generate_vocabulary.py base ${DIMENSIONS} ${GENERATED_HEADERS_DIR}
     WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
-    COMMAND echo "Vocabulary file generated."
+    RESULT_VARIABLE GENERATE_BASE_RESULT
+    OUTPUT_VARIABLE GENERATE_BASE_OUTPUT
+    ERROR_VARIABLE GENERATE_BASE_ERROR
 )
+
+if(NOT GENERATE_BASE_RESULT EQUAL 0)
+  message(FATAL_ERROR "Failed to generate base vocabulary file: ${GENERATE_BASE_ERROR}")
+else()
+  message(STATUS "Generated base vocabulary file")
+endif()
+
+list(APPEND GENERATED_VOCAB_HEADERS "${GENERATED_HEADERS_DIR}/Vocabulary.h")
+
+include_directories(${GENERATED_HEADERS_DIR})
+
+set(commonsrc FlowAware.cpp Symbolic.cpp utils.cpp ${GENERATED_HEADERS_DIR}/VocabularyFactory.cpp)
+set(libsrc libIR2Vec.cpp ${commonsrc})
+set(binsrc CollectIR.cpp IR2Vec.cpp)
+
 if(NOT LLVM_IR2VEC)
 
   set(LT_LLVM_INSTALL_DIR "" CACHE PATH "LLVM installation directory")
@@ -36,10 +89,12 @@ if(NOT LLVM_IR2VEC)
 
   add_library(${IR2VEC_LIB} SHARED $<TARGET_OBJECTS:objlib>)
   add_library(${IR2VEC_LIB_STATIC} STATIC $<TARGET_OBJECTS:objlib>)
+
   set_target_properties(${IR2VEC_LIB} ${IR2VEC_LIB_STATIC} PROPERTIES
       VERSION ${PROJECT_VERSION}
       SOVERSION 1
       PUBLIC_HEADER "./include/IR2Vec.h"
+      PUBLIC_HEADER "${GENERATED_VOCAB_HEADERS}"
       OUTPUT_NAME ${IR2VEC_LIB}
       LIBRARY_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib
       ARCHIVE_OUTPUT_DIRECTORY ${CMAKE_BINARY_DIR}/lib
diff --git a/src/FlowAware.cpp b/src/FlowAware.cpp
index 8e1e539c..c627dc37 100644
--- a/src/FlowAware.cpp
+++ b/src/FlowAware.cpp
@@ -97,11 +97,11 @@ void IR2Vec_FA::collectWriteDefsMap(Module &M) {
 
 Vector IR2Vec_FA::getValue(std::string key) {
   Vector vec(DIM, 0);
-  if (opcMap.find(key) == opcMap.end()) {
+  if (vocabulary.find(key) == vocabulary.end()) {
     IR2VEC_DEBUG(errs() << "cannot find key in map : " << key << "\n");
     dataMissCounter++;
   } else
-    vec = opcMap[key];
+    vec = vocabulary[key];
   return vec;
 }
 
@@ -493,7 +493,7 @@ Vector IR2Vec_FA::func2Vec(Function &F,
     outs() << sets << " ";
   } outs() << "\n";);
 
-  SmallVector<double, DIM> prevVec;
+  Vector prevVec;
   Instruction *argToKill = nullptr;
 
   while (stack.size() != 0) {
diff --git a/src/IR2Vec.cpp b/src/IR2Vec.cpp
index 3946b1b6..3e328320 100644
--- a/src/IR2Vec.cpp
+++ b/src/IR2Vec.cpp
@@ -6,11 +6,12 @@
 //
 //===----------------------------------------------------------------------===//
 
-#include "IR2Vec.h"
 #include "CollectIR.h"
 #include "FlowAware.h"
 #include "Symbolic.h"
+#include "Vocabulary.h"
 #include "version.h"
+
 #include "llvm/Support/CommandLine.h"
 #include <stdio.h>
 #include <time.h>
@@ -36,7 +37,8 @@ cl::opt<bool> cl_collectIR(
     cl::init(false), cl::cat(category));
 cl::opt<std::string> cl_iname(cl::Positional, cl::desc("Input file path"),
                               cl::Required, cl::cat(category));
-
+cl::opt<unsigned> cl_dim("dim", cl::Optional, cl::init(300),
+                         cl::desc("Dimension of the embeddings"), cl::cat(category));                           
 cl::opt<std::string> cl_oname("o", cl::Required, cl::desc("Output file path"),
                               cl::cat(category));
 // for on demand generation of embeddings taking function name
@@ -80,7 +82,7 @@ int main(int argc, char **argv) {
   collectIR = cl_collectIR;
   iname = cl_iname;
   oname = cl_oname;
-  // newly added
+  DIM = cl_dim;
   funcName = cl_funcName;
   level = cl_level;
   cls = cl_cls;
@@ -113,9 +115,11 @@ int main(int argc, char **argv) {
     exit(1);
 
   auto M = getLLVMIR();
+  auto vocabulary = VocabularyFactory::createVocabulary(DIM)->getVocabulary();
+
   // newly added
   if (sym && !(funcName.empty())) {
-    IR2Vec_Symbolic SYM(*M);
+    IR2Vec_Symbolic SYM(*M, vocabulary);
     std::ofstream o;
     o.open(oname, std::ios_base::app);
     if (printTime) {
@@ -132,7 +136,7 @@ int main(int argc, char **argv) {
     }
     o.close();
   } else if (fa && !(funcName.empty())) {
-    IR2Vec_FA FA(*M);
+    IR2Vec_FA FA(*M, vocabulary);
     std::ofstream o, missCount, cyclicCount;
     o.open(oname, std::ios_base::app);
     missCount.open("missCount_" + oname, std::ios_base::app);
@@ -153,7 +157,7 @@ int main(int argc, char **argv) {
     }
     o.close();
   } else if (fa) {
-    IR2Vec_FA FA(*M);
+    IR2Vec_FA FA(*M, vocabulary);
     std::ofstream o, missCount, cyclicCount;
     o.open(oname, std::ios_base::app);
     missCount.open("missCount_" + oname, std::ios_base::app);
@@ -172,7 +176,7 @@ int main(int argc, char **argv) {
     }
     o.close();
   } else if (sym) {
-    IR2Vec_Symbolic SYM(*M);
+    IR2Vec_Symbolic SYM(*M, vocabulary);
     std::ofstream o;
     o.open(oname, std::ios_base::app);
     if (printTime) {
diff --git a/src/Symbolic.cpp b/src/Symbolic.cpp
index 68d9014b..59eab2ce 100644
--- a/src/Symbolic.cpp
+++ b/src/Symbolic.cpp
@@ -29,10 +29,10 @@ using abi::__cxa_demangle;
 
 Vector IR2Vec_Symbolic::getValue(std::string key) {
   Vector vec;
-  if (opcMap.find(key) == opcMap.end())
+  if (vocabulary.find(key) == vocabulary.end())
     IR2VEC_DEBUG(errs() << "cannot find key in map : " << key << "\n");
   else
-    vec = opcMap[key];
+    vec = vocabulary[key];
   return vec;
 }
 
diff --git a/src/generate_vocabulary.py b/src/generate_vocabulary.py
index bca3aadb..fbbef6cc 100644
--- a/src/generate_vocabulary.py
+++ b/src/generate_vocabulary.py
@@ -7,73 +7,178 @@
 # ------------------------------------------------------------------------------
 
 import argparse
-
-parser = argparse.ArgumentParser()
-parser.add_argument("-o", "--output", type=str, help="Output file name")
-args = parser.parse_args()
-
-if args.output is None:
-    print("Error: Output file path not provided.")
-    exit(1)
-
-output_file = args.output
-vocab_file = "../vocabulary/seedEmbeddingVocab.txt"
-
-# Define headers and opening/closing of map
-header = """\
-// Generated by IR2Vec. DO NOT EDIT!
-// This file contains the learned vocabulary used by IR2Vec.
-//
-// clang-format off
-
-#ifndef __VOCABULARY__
-#define __VOCABULARY__
-
-#include <map>
-#include <string>
-#include <vector>
-#include "IR2Vec.h"
-
-namespace IR2Vec {
-
-class Vocabulary {
-public:
-    static const std::map<std::string, IR2Vec::Vector>& getVocabulary() {
-        return vocabulary;
-    }
-private:
-    static const std::map<std::string, IR2Vec::Vector> vocabulary;
-};
-
-"""
-
-opening = "\nconst std::map<std::string, IR2Vec::Vector> Vocabulary::vocabulary = {\n"
-closing = """\
+import sys
+import os
+
+class VocabularyError(Exception):
+    """Custom exception for vocabulary errors."""
+    pass
+
+# Common header strings
+HEADER_GENERATED = "// Generated by IR2Vec. DO NOT EDIT!\n"
+HEADER_VOCABULARY_BASE = (
+    "// This file defines the base class for vocabulary and the factory \n// for creating vocabulary instances used by IR2Vec.\n"
+)
+HEADER_VOCABULARY_CLASS = (
+    "// This file defines the {class_name} vocabulary class used by IR2Vec.\n"
+)
+HEADER_CLANG_FORMAT_OFF = "// clang-format off\n"
+
+def write_file(file_path, content):
+    try:
+        with open(file_path, "w") as fw:
+            fw.write(content)
+    except IOError as e:
+        raise VocabularyError(f"Failed to write to {file_path}: {e}")
+
+
+def generate_base_vocabulary_header():
+    return (
+        f"{HEADER_GENERATED}"
+        f"{HEADER_VOCABULARY_BASE}"
+        f"{HEADER_CLANG_FORMAT_OFF}\n"
+        "#ifndef __VOCABULARY_H__\n"
+        "#define __VOCABULARY_H__\n\n"
+        "#include <map>\n"
+        "#include <string>\n"
+        "#include <vector>\n"
+        "#include <memory>\n"
+        "#include <stdexcept> // For std::invalid_argument\n"
+
+        "namespace IR2Vec {\n\n"
+        "using Vector = std::vector<double>;\n\n"
+        "class VocabularyBase {\n"
+        "public:\n"
+        "    virtual ~VocabularyBase() {}\n"
+        "    virtual const std::map<std::string, IR2Vec::Vector>& getVocabulary() const = 0;\n"
+        "};\n\n"
+        "class VocabularyFactory {\n"
+        "public:\n"
+        "    static std::unique_ptr<VocabularyBase> createVocabulary(unsigned dim);\n"
+        "};\n\n"
+        "} // namespace IR2Vec\n\n"
+        "#endif // __VOCABULARY_H__\n"
+    )
+    
+def generate_vocabulary_class(vocab_file, class_name):
+    class_header = (
+        f"{HEADER_GENERATED}"
+        f"{HEADER_VOCABULARY_CLASS.format(class_name=class_name)}"
+        f"{HEADER_CLANG_FORMAT_OFF}\n"
+        f"#ifndef __{class_name.upper()}__\n"
+        f"#define __{class_name.upper()}__\n\n"
+        f"#include <map>\n"
+        f"#include <string>\n"
+        f"#include <vector>\n"
+        f"#include \"Vocabulary.h\" // Include the base class\n\n"
+        f"namespace IR2Vec {{\n\n"
+        f"class {class_name} : public VocabularyBase {{\n"
+        f"public:\n"
+        f"    const std::map<std::string, IR2Vec::Vector>& getVocabulary() const override{{\n"
+        f"        return vocabulary;\n"
+        f"    }}\n"
+        f"private:\n"
+        f"    static const std::map<std::string, IR2Vec::Vector> vocabulary;\n"
+        f"}};\n"
+    )
+
+    opening = f"\nconst std::map<std::string, IR2Vec::Vector> {class_name}::vocabulary = {{\n"
+    closing = """\
 };
 } // namespace IR2Vec
 
-#endif // __VOCABULARY__
+#endif // __{class_name.upper()}__
 """
-
-try:
-    with open(output_file, "w") as fw:
-        fw.write(header)
-        with open(vocab_file, "r") as fr:
-            # Write vector declarations to the output file
-            for line in fr.readlines():
-                key, val = line.strip().split(":")
-                e = val.find("]")
-                fw.write(f"const IR2Vec::Vector {key}_vector = {{  {val[1:e]} }};\n")
-
-        fw.write(opening)
-        with open(vocab_file, "r") as fr:
-            # Write map entries to the output file
-            for line in fr.readlines():
-                key, _ = line.strip().split(":")
-                fw.write(f'    {{ "{key}", {key}_vector }},\n')
-        fw.write(closing)
-
-    print(f"Generated {output_file}")
-
-except FileNotFoundError:
-    print(f"Error: Vocabulary file '{vocab_file}' not found.")
+    dim = class_name.replace("Vocabulary", "")
+    vector_definitions = ""
+    with open(vocab_file, "r") as fr:
+        for line in fr.readlines():
+            key, val = line.strip().split(":")
+            e = val.find("]")
+            vector_definitions += f"const IR2Vec::Vector {key}_vector_{dim} = {{  {val[1:e]} }};\n"
+
+    vocabulary_entries = ""
+    with open(vocab_file, "r") as fr:
+        for line in fr.readlines():
+            key, _ = line.strip().split(":")
+            vocabulary_entries += f'    {{ "{key}", {key}_vector_{dim} }},\n'
+
+    return class_header + vector_definitions + opening + vocabulary_entries + closing
+
+def generate_vocabulary_factory(class_names):
+    factory_header = (
+        f"{HEADER_GENERATED}"
+        f"{HEADER_VOCABULARY_BASE}"
+        f"{HEADER_CLANG_FORMAT_OFF}\n"
+        "#include <memory>\n"  # For std::unique_ptr
+        "#include \"Vocabulary.h\"\n\n"
+    )
+
+    # Include headers for each vocabulary class
+    for class_name in class_names:
+        factory_header += f"#include \"{class_name}.h\"\n"
+
+    factory_header += "\nnamespace IR2Vec {\n\n"
+
+    factory_function = (
+        "std::unique_ptr<VocabularyBase> VocabularyFactory::createVocabulary(unsigned dim) {\n"
+        "    switch (dim) {\n"
+    )
+
+    factory_cases = ""
+    for class_name in class_names:
+        dim = class_name.replace("Vocabulary", "").replace("D", "")
+        factory_cases += f"        case {dim}:\n            return std::make_unique<{class_name}>();\n"
+
+    factory_footer = (
+        """\
+        default:
+            throw std::invalid_argument("Invalid dimension for vocabulary creation.");
+    }
+}
+} // namespace IR2Vec\n
+"""
+    )
+    return factory_header + factory_function + factory_cases + factory_footer
+
+def main():
+    parser = argparse.ArgumentParser(description="Generate vocabulary and factory files.")
+    parser.add_argument('type', choices=['vocab', 'base'], help="Type of files to generate.")
+    parser.add_argument('input', help="Input vocabulary text file or dimensions as a comma-separated list.")
+    parser.add_argument('output', help="Output file path.")
+
+    args = parser.parse_args()
+    if args.type is None or args.input is None or args.output is None:
+        raise VocabularyError("Type, input, or output not provided.")
+
+    if args.type == 'vocab':
+        # Generate vocabulary class based on input file
+        vocab_file = args.input
+        
+        # Extract dimension from the file name
+        dim = os.path.splitext(os.path.basename(vocab_file))[0].split("D")[0].split("Vocab")[-1]
+        class_name = f"Vocabulary{dim}D"
+        vocab_class_code = generate_vocabulary_class(vocab_file, class_name)
+        output_file = os.path.join(args.output, f"{class_name}.h")
+        write_file(output_file, vocab_class_code)
+
+    elif args.type == 'base':
+        # Generate base vocabulary header and factory implementation
+        base_header_code = generate_base_vocabulary_header()
+        output_file = os.path.join(args.output, "Vocabulary.h")
+        write_file(output_file, base_header_code)
+
+        # Parse the dimensions from the input and generate class names
+        dimensions = args.input.split(',')
+        class_names = [f"Vocabulary{dim}D" for dim in dimensions]  # Create class names based on dimensions
+        
+        factory_code = generate_vocabulary_factory(class_names)
+        output_file = os.path.join(args.output, "VocabularyFactory.cpp")
+        write_file(output_file, factory_code)
+
+if __name__ == "__main__":
+    try:
+        main()
+    except VocabularyError as e:
+        sys.stderr.write(f"Error: {e}\n")  # Write errors to stderr
+        sys.exit(1)
diff --git a/src/include/FlowAware.h b/src/include/FlowAware.h
index 1f1b4eb8..b27d2751 100644
--- a/src/include/FlowAware.h
+++ b/src/include/FlowAware.h
@@ -28,6 +28,7 @@ class IR2Vec_FA {
 private:
   llvm::Module &M;
   std::string res;
+  IR2Vec::VocabTy &vocabulary;
   IR2Vec::Vector pgmVector;
   unsigned dataMissCounter;
   unsigned cyclicCounter;
@@ -130,9 +131,9 @@ class IR2Vec_FA {
   void updateFuncVecMapWithCallee(const llvm::Function *function);
 
 public:
-  IR2Vec_FA(llvm::Module &M) : M{M} {
+  IR2Vec_FA(llvm::Module &M, IR2Vec::VocabTy &vocab) : M{M}, vocabulary{vocab} {
 
-    pgmVector = IR2Vec::Vector(DIM, 0);
+    pgmVector = IR2Vec::Vector(IR2Vec::DIM, 0);
     res = "";
 
     memWriteOps.try_emplace("store", 1);
diff --git a/src/include/IR2Vec.h b/src/include/IR2Vec.h
index 32a1aaa5..7b6b7f58 100644
--- a/src/include/IR2Vec.h
+++ b/src/include/IR2Vec.h
@@ -13,37 +13,38 @@
 #include "llvm/IR/Module.h"
 #include <string>
 
+#include "Vocabulary.h"
 namespace IR2Vec {
 
-#define DIM 300
-using Vector = llvm::SmallVector<double, DIM>;
-
 enum IR2VecMode { FlowAware, Symbolic };
 
 class Embeddings {
   int generateEncodings(llvm::Module &M, IR2VecMode mode, char level = '\0',
-                        std::string funcName = "", std::ostream *o = nullptr,
-                        int cls = -1, float WO = 1, float WA = 0.2,
-                        float WT = 0.5);
+                        std::string funcName = "", unsigned dim = 300,
+                        std::ostream *o = nullptr, int cls = -1, float WO = 1,
+                        float WA = 0.2, float WT = 0.5);
 
   llvm::SmallMapVector<const llvm::Instruction *, Vector, 128> instVecMap;
   llvm::SmallMapVector<const llvm::Function *, Vector, 16> funcVecMap;
   Vector pgmVector;
+  std::map<std::string, IR2Vec::Vector> vocabulary;
 
 public:
   Embeddings() = default;
   Embeddings(llvm::Module &M, IR2VecMode mode, std::string funcName = "",
-             float WO = 1, float WA = 0.2, float WT = 0.5) {
-    generateEncodings(M, mode, '\0', funcName, nullptr, -1, WO, WA, WT);
+             unsigned dim = 300, float WO = 1, float WA = 0.2, float WT = 0.5) {
+    vocabulary = VocabularyFactory::createVocabulary(dim)->getVocabulary();
+    generateEncodings(M, mode, '\0', funcName, dim, nullptr, -1, WO, WA, WT);
   }
 
   // Use this constructor if the representations ought to be written to a
   // file. Analogous to the command line options that are being used in IR2Vec
   // binary.
   Embeddings(llvm::Module &M, IR2VecMode mode, char level, std::ostream *o,
-             std::string funcName = "", float WO = 1, float WA = 0.2,
-             float WT = 0.5) {
-    generateEncodings(M, mode, level, funcName, o, -1, WO, WA, WT);
+             std::string funcName = "", unsigned dim = 300, float WO = 1,
+             float WA = 0.2, float WT = 0.5) {
+    vocabulary = VocabularyFactory::createVocabulary(dim)->getVocabulary();
+    generateEncodings(M, mode, level, funcName, dim, o, -1, WO, WA, WT);
   }
 
   // Returns a map containing instructions and the corresponding vector
diff --git a/src/include/Symbolic.h b/src/include/Symbolic.h
index 618672b9..efad7e0f 100644
--- a/src/include/Symbolic.h
+++ b/src/include/Symbolic.h
@@ -24,6 +24,7 @@ class IR2Vec_Symbolic {
 
 private:
   llvm::Module &M;
+  IR2Vec::VocabTy &vocabulary;
   IR2Vec::Vector pgmVector;
 
   IR2Vec::Vector getValue(std::string key);
@@ -37,8 +38,9 @@ class IR2Vec_Symbolic {
       instVecMap;
 
 public:
-  IR2Vec_Symbolic(llvm::Module &M) : M{M} {
-    pgmVector = IR2Vec::Vector(DIM, 0);
+  IR2Vec_Symbolic(llvm::Module &M, IR2Vec::VocabTy &vocab)
+      : M{M}, vocabulary{vocab} {
+    pgmVector = IR2Vec::Vector(IR2Vec::DIM, 0);
     res = "";
   }
 
diff --git a/src/include/utils.h b/src/include/utils.h
index ab7921dd..1541f1c6 100644
--- a/src/include/utils.h
+++ b/src/include/utils.h
@@ -29,8 +29,8 @@ namespace IR2Vec {
     }                                                                          \
   })
 
-#define DIM 300
-using Vector = llvm::SmallVector<double, DIM>;
+using Vector = std::vector<double>;
+using VocabTy = std::map<std::string, Vector>;
 using abi::__cxa_demangle;
 
 extern bool fa;
@@ -46,7 +46,7 @@ extern float WO;
 extern float WA;
 extern float WT;
 extern bool debug;
-extern std::map<std::string, Vector> opcMap;
+extern unsigned DIM;
 std::unique_ptr<llvm::Module> getLLVMIR();
 void scaleVector(Vector &vec, float factor);
 // newly added
diff --git a/src/libIR2Vec.cpp b/src/libIR2Vec.cpp
index 69fd4521..6cceb48a 100644
--- a/src/libIR2Vec.cpp
+++ b/src/libIR2Vec.cpp
@@ -17,9 +17,9 @@
 
 int IR2Vec::Embeddings::generateEncodings(llvm::Module &M,
                                           IR2Vec::IR2VecMode mode, char level,
-                                          std::string funcName, std::ostream *o,
-                                          int cls, float WO, float WA,
-                                          float WT) {
+                                          std::string funcName, unsigned dim,
+                                          std::ostream *o, int cls, float WO,
+                                          float WA, float WT) {
 
   IR2Vec::level = level;
   IR2Vec::cls = cls;
@@ -27,25 +27,26 @@ int IR2Vec::Embeddings::generateEncodings(llvm::Module &M,
   IR2Vec::WA = WA;
   IR2Vec::WT = WT;
   IR2Vec::funcName = funcName;
+  IR2Vec::DIM = dim;
 
   if (mode == IR2Vec::IR2VecMode::FlowAware && !funcName.empty()) {
-    IR2Vec_FA FA(M);
+    IR2Vec_FA FA(M, vocabulary);
     FA.generateFlowAwareEncodingsForFunction(o, funcName);
     instVecMap = FA.getInstVecMap();
     funcVecMap = FA.getFuncVecMap();
   } else if (mode == IR2Vec::IR2VecMode::FlowAware) {
-    IR2Vec_FA FA(M);
+    IR2Vec_FA FA(M, vocabulary);
     FA.generateFlowAwareEncodings(o);
     instVecMap = FA.getInstVecMap();
     funcVecMap = FA.getFuncVecMap();
     pgmVector = FA.getProgramVector();
   } else if (mode == IR2Vec::IR2VecMode::Symbolic && !funcName.empty()) {
-    IR2Vec_Symbolic SYM(M);
+    IR2Vec_Symbolic SYM(M, vocabulary);
     SYM.generateSymbolicEncodingsForFunction(0, funcName);
     instVecMap = SYM.getInstVecMap();
     funcVecMap = SYM.getFuncVecMap();
   } else if (mode == IR2Vec::IR2VecMode::Symbolic) {
-    IR2Vec_Symbolic SYM(M);
+    IR2Vec_Symbolic SYM(M, vocabulary);
     SYM.generateSymbolicEncodings(o);
     instVecMap = SYM.getInstVecMap();
     funcVecMap = SYM.getFuncVecMap();
diff --git a/src/utils.cpp b/src/utils.cpp
index 515afeb3..b9fc0e58 100644
--- a/src/utils.cpp
+++ b/src/utils.cpp
@@ -8,7 +8,7 @@
 
 #include "utils.h"
 #include "IR2Vec.h"
-#include "vocabulary.h"
+#include "Vocabulary.h"
 #include <fstream>
 #include <string>
 using namespace llvm;
@@ -27,8 +27,8 @@ float IR2Vec::WO;
 float IR2Vec::WA;
 float IR2Vec::WT;
 bool IR2Vec::debug;
-std::map<std::string, Vector> IR2Vec::opcMap =
-    IR2Vec::Vocabulary::getVocabulary();
+unsigned IR2Vec::DIM;
+
 std::unique_ptr<Module> IR2Vec::getLLVMIR() {
   SMDiagnostic err;
   static LLVMContext context;

From 5b2f06d61fe753c2dbf031b2db4445c57fbfccc3 Mon Sep 17 00:00:00 2001
From: svkeerthy <cs17m20p100001@iith.ac.in>
Date: Mon, 7 Oct 2024 23:03:12 +0530
Subject: [PATCH 05/17] Minor change in the position of DIM in constructor

---
 src/include/IR2Vec.h | 9 +++++----
 1 file changed, 5 insertions(+), 4 deletions(-)

diff --git a/src/include/IR2Vec.h b/src/include/IR2Vec.h
index 7b6b7f58..53c4d8a2 100644
--- a/src/include/IR2Vec.h
+++ b/src/include/IR2Vec.h
@@ -31,8 +31,9 @@ class Embeddings {
 
 public:
   Embeddings() = default;
-  Embeddings(llvm::Module &M, IR2VecMode mode, std::string funcName = "",
-             unsigned dim = 300, float WO = 1, float WA = 0.2, float WT = 0.5) {
+  Embeddings(llvm::Module &M, IR2VecMode mode, unsigned dim = 300,
+             std::string funcName = "", float WO = 1, float WA = 0.2,
+             float WT = 0.5) {
     vocabulary = VocabularyFactory::createVocabulary(dim)->getVocabulary();
     generateEncodings(M, mode, '\0', funcName, dim, nullptr, -1, WO, WA, WT);
   }
@@ -41,8 +42,8 @@ class Embeddings {
   // file. Analogous to the command line options that are being used in IR2Vec
   // binary.
   Embeddings(llvm::Module &M, IR2VecMode mode, char level, std::ostream *o,
-             std::string funcName = "", unsigned dim = 300, float WO = 1,
-             float WA = 0.2, float WT = 0.5) {
+             unsigned dim = 300, std::string funcName = "",
+             float WO = 1, float WA = 0.2, float WT = 0.5) {
     vocabulary = VocabularyFactory::createVocabulary(dim)->getVocabulary();
     generateEncodings(M, mode, level, funcName, dim, o, -1, WO, WA, WT);
   }

From 9da8c7187524904d35b52677262a9d9cf3489560 Mon Sep 17 00:00:00 2001
From: "S. VenkataKeerthy" <31350914+svkeerthy@users.noreply.github.com>
Date: Mon, 7 Oct 2024 23:05:15 +0530
Subject: [PATCH 06/17] Update README.md to reflect mutliple dims support

---
 README.md | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index 8aa42518..15d33e6d 100644
--- a/README.md
+++ b/README.md
@@ -113,13 +113,16 @@ To ensure the correctness, run `make check`
 instructions.
 
 ### Using Binary
-> ir2vec -\<mode\> -o \<output-file\> -level \<p|f\> -class \<class-number\> -funcName=\<function-name\> \<input-ll-file\>
+> ir2vec -\<mode\> -dim \<dimensions\> -o \<output-file\> -level \<p|f\> -class \<class-number\> -funcName=\<function-name\> \<input-ll-file\>
 
 #### Command-Line options
 
 - `mode` - can be one of `sym`/`fa`
     - `sym` denotes Symbolic representation
     - `fa` denotes Flow-Aware representation
+- `dim` - Dimensions of embeddings
+    - This is an optional argument. Defaults to `300`.
+    - Other supported dimensions are `75` and `100`
 -  `o` - file in which the embeddings are to be appended;     (Note : If  file doesn’t exist, new file would be created, else embeddings would be appended)
 - `level` - can be one of chars `p`/`f`.
     - `p` denotes `program level` encoding
@@ -141,16 +144,16 @@ Please use `--help` for further details.
 
 #### Flow-Aware Embeddings
 For all functions
-* `` ir2vec -fa -o <output_file> -level <p|f>  -class <class-number> <input_ll_file>``
+* `` ir2vec -fa -dim <dimension> -o <output_file> -level <p|f>  -class <class-number> <input_ll_file>``
 
 For a specific function
-* `` ir2vec -fa -o <output_file> -level f  -class <class-number> -funcName=\<function-name\><input_ll_file>``
+* `` ir2vec -fa -dim <dimension> -o <output_file> -level f  -class <class-number> -funcName=\<function-name\><input_ll_file>``
 
 #### Symbolic Embeddings
 For all functions
- * `` ir2vec -sym -o <output_file> -level <p|f> -class <class-number> <input_ll_file>``
+ * `` ir2vec -sym -dim <dimension> -o <output_file> -level <p|f> -class <class-number> <input_ll_file>``
 For a specific function
- * `` ir2vec -sym -o <output_file> -level f -class <class-number> -funcName=\<function-name\> <input_ll_file>``
+ * `` ir2vec -sym -dim <dimension> -o <output_file> -level f -class <class-number> -funcName=\<function-name\> <input_ll_file>``
 
 ## Using Libraries
 The libraries can be installed by passing the installation location to the `CMAKE_INSTALL_PREFIX` flag during `cmake` followed by `make install`.
@@ -178,7 +181,7 @@ The following example snippet shows how to query the exposed vector representati
 
 // Creating object to generate FlowAware representation
 auto ir2vec =
-      IR2Vec::Embeddings(<LLVM Module>, IR2Vec::IR2VecMode::FlowAware);
+      IR2Vec::Embeddings(<LLVM Module>, IR2Vec::IR2VecMode::FlowAware, <DIM>);
 
 // Getting Instruction vectors corresponding to the instructions in <LLVM Module>
 auto instVecMap = ir2vec.getInstVecMap();

From a37b8bb8f5efcbb548a61ad36662e730fb0f9716 Mon Sep 17 00:00:00 2001
From: "S. VenkataKeerthy" <31350914+svkeerthy@users.noreply.github.com>
Date: Mon, 7 Oct 2024 23:10:08 +0530
Subject: [PATCH 07/17] Update README.md of seed_embeddings to reflect multi
 dimensions support.

---
 seed_embeddings/README.md | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/seed_embeddings/README.md b/seed_embeddings/README.md
index e68dae3f..419906dc 100644
--- a/seed_embeddings/README.md
+++ b/seed_embeddings/README.md
@@ -1,6 +1,10 @@
 # Pretrained Embeddings
 If you do not want to train the model to generate seed embeddings, and want to use the pretrained vocabulary, please use the vocabulary given [here](../vocabulary) and skip the following.
 
+Currently we support three different embedding dimensions (`75`, `100`, `300`). If you want to use embeddings of different dimensions, you can follow the below steps and copy the resultant
+vocabulary to the [vocabulary](../vocabulary) directory with the following naming convention. `seedEmbeddingVocab<DIM>D.txt`. Such vocabularies would be automatically used during the build
+process of IR2Vec.
+
 # Generation of Seed Embedding Vocabulary
 This directory helps in generating seed embedding vocabulary in 3 steps.
 1. [Building ir2vec](#step-1-building-ir2vec)

From b8701f5cbc15711c791bfeb60eca0bd4bbcd1612 Mon Sep 17 00:00:00 2001
From: svkeerthy <cs17m20p100001@iith.ac.in>
Date: Mon, 7 Oct 2024 23:14:11 +0530
Subject: [PATCH 08/17] Fixing formatting issues

---
 seed_embeddings/OpenKE/analogy.py             | 15 ++--
 seed_embeddings/OpenKE/config/Trainer.py      | 20 +++---
 .../OpenKE/generate_embedding_ray.py          | 61 ++++++++---------
 src/IR2Vec.cpp                                |  3 +-
 src/generate_vocabulary.py                    | 68 ++++++++++++-------
 src/include/IR2Vec.h                          |  4 +-
 vocabulary/seedEmbeddingVocab100D.txt         |  2 +-
 vocabulary/seedEmbeddingVocab75D.txt          |  2 +-
 8 files changed, 99 insertions(+), 76 deletions(-)

diff --git a/seed_embeddings/OpenKE/analogy.py b/seed_embeddings/OpenKE/analogy.py
index 3ce05533..effa3cce 100644
--- a/seed_embeddings/OpenKE/analogy.py
+++ b/seed_embeddings/OpenKE/analogy.py
@@ -6,13 +6,14 @@
 import numpy as np
 from sklearn.metrics.pairwise import euclidean_distances
 
+
 class AnalogyScorer:
     def __init__(self, analogy_file="analogies.txt"):
         self.entity_dict = {}
         self.analogies = self._load_analogies(analogy_file)
 
     def _load_analogies(self, file_path):
-        with open(file_path, 'r') as f:
+        with open(file_path, "r") as f:
             return [tuple(line.strip().split()) for line in f if line.strip()]
 
     def find_vec(self, str1):
@@ -22,12 +23,12 @@ def gen_similarity_table(self, vec):
         keys = list(self.entity_dict.keys())
         entity_matrix = np.array(list(self.entity_dict.values()))
         vec = vec.reshape(1, -1)
-        
+
         # Calculate distances using euclidean_distances
         distances = euclidean_distances(vec, entity_matrix)[0]
-        
+
         return dict(zip(keys, distances))
-    
+
     def findTopk(self, dict1, k, values):
         sortedByVal = dict(sorted(dict1.items(), key=lambda x: x[1]))
         del sortedByVal[values[0].upper()]
@@ -35,11 +36,11 @@ def findTopk(self, dict1, k, values):
         del sortedByVal[values[2].upper()]
         return {k: sortedByVal[k] for k in list(sortedByVal)[:k]}
 
-    def get_analogy_score(self, entity_dict):        
+    def get_analogy_score(self, entity_dict):
         self.entity_dict = entity_dict
         total_count = len(self.analogies)
         correct_count = 0
-        
+
         for values in self.analogies:
             vecA = self.find_vec(values[0])
             vecB = self.find_vec(values[1])
@@ -56,4 +57,4 @@ def get_analogy_score(self, entity_dict):
 
             if values[3].upper() in top_k_dict:
                 correct_count += 1
-        return correct_count
\ No newline at end of file
+        return correct_count
diff --git a/seed_embeddings/OpenKE/config/Trainer.py b/seed_embeddings/OpenKE/config/Trainer.py
index edc35671..c1552688 100755
--- a/seed_embeddings/OpenKE/config/Trainer.py
+++ b/seed_embeddings/OpenKE/config/Trainer.py
@@ -52,10 +52,10 @@ def __init__(
         self.save_steps = save_steps
         self.checkpoint_dir = checkpoint_dir
         # self.out_path = out_path
-        
+
         self.entity_names = self.load_entity_names(index_dir)
         self.analogies = analogy.AnalogyScorer(analogy_file=analogy_file)
-        
+
     def load_entity_names(self, index_dir):
         with open(os.path.join(index_dir, "entity2id.txt")) as fEntity:
             content = fEntity.read()
@@ -93,7 +93,7 @@ def getEntityDict(self, ent_embeddings):
         mapping entity names to their corresponding embeddings.
         """
         entity_dict = {}
-        
+
         for i, entity_name in enumerate(self.entity_names):
             entity_dict[entity_name] = ent_embeddings[i].tolist()
 
@@ -180,25 +180,27 @@ def run(
                     # self.model => Negative Sampling object
                     # self.mode.model => Transe model
 
-                    ent_embeddings = self.model.model.ent_embeddings.weight.data.cpu().numpy()
+                    ent_embeddings = (
+                        self.model.model.ent_embeddings.weight.data.cpu().numpy()
+                    )
                     entity_dict = self.getEntityDict(ent_embeddings)
                     analogy_score = self.analogies.get_analogy_score(entity_dict)
                     metrics.update({"AnalogiesScore": analogy_score})
                     print("Analogy Score completed")
-                    
+
                     del entity_dict
-                    
+
                     if best_metric_val <= analogy_score:
                         best_metric_val = analogy_score
                         save_ckpt = True
 
-                else: # loss
+                else:  # loss
                     if best_metric_val >= res:
                         best_metric_val = res
                         save_ckpt = True
-                
+
                 with tempfile.TemporaryDirectory() as temp_checkpoint_dir:
-                        # Save the checkpoint...
+                    # Save the checkpoint...
                     checkpoint = None
                     if save_ckpt:
                         self.model.save_checkpoint(
diff --git a/seed_embeddings/OpenKE/generate_embedding_ray.py b/seed_embeddings/OpenKE/generate_embedding_ray.py
index 615371f2..8eb70a73 100644
--- a/seed_embeddings/OpenKE/generate_embedding_ray.py
+++ b/seed_embeddings/OpenKE/generate_embedding_ray.py
@@ -28,6 +28,7 @@
 
 os.environ["CUDA_VISIBLE_DEVICES"] = "0,1"
 
+
 def test_files(index_dir):
     entities = os.path.join(index_dir, "entity2id.txt")
     relations = os.path.join(index_dir, "relation2id.txt")
@@ -41,6 +42,7 @@ def test_files(index_dir):
     if not os.path.exists(train):
         raise Exception("train2id.txt not found")
 
+
 def train(config, args=None):
     # dataloader for training
     train_dataloader = TrainDataLoader(
@@ -110,37 +112,37 @@ def findRep(src, index_dir, src_type="json"):
     for i in range(1, int(entities[0])):
         toTxt += entities[i].split("\t")[0] + ":" + str(rep[i - 1]) + ",\n"
     toTxt += (
-        entities[int(entities[0])].split("\t")[0]
-        + ":"
-        + str(rep[int(entities[0]) - 1])
+        entities[int(entities[0])].split("\t")[0] + ":" + str(rep[int(entities[0]) - 1])
     )
     return toTxt
 
+
 def reformat_embeddings(input_str):
     # Split the string by '],' to isolate each object
-    entries = input_str.split('],')
-    
+    entries = input_str.split("],")
+
     formatted_entries = []
-    
+
     for entry in entries:
         # Remove any newline characters
-        cleaned_entry = entry.replace('\n', ' ')
-        
+        cleaned_entry = entry.replace("\n", " ")
+
         # Split the object name from the values part
-        obj_name, values = cleaned_entry.split(':[')
-        
+        obj_name, values = cleaned_entry.split(":[")
+
         # Remove extra spaces and replace multiple spaces with a single one using regex
-        values = re.sub(r'\s+', ' ', values.split(']')[0].strip())
-        
+        values = re.sub(r"\s+", " ", values.split("]")[0].strip())
+
         # Replace spaces between numbers with commas and add the closing bracket
-        formatted_values = values.replace(' ', ', ') + ']'
-        
+        formatted_values = values.replace(" ", ", ") + "]"
+
         # Recombine the object name with the formatted values
         formatted_entry = f"{obj_name.strip()}:[{formatted_values}"
         formatted_entries.append(formatted_entry)
-    
+
     # Join all entries back into one string, separated by newline
-    return '\n'.join(formatted_entries)
+    return "\n".join(formatted_entries)
+
 
 if __name__ == "__main__":
     ray.init()
@@ -220,10 +222,10 @@ def reformat_embeddings(input_str):
         type=str,
         default="./analogies.txt",
     )
-    
+
     arg_conf = parser.parse_args()
     arg_conf.index_dir = arg_conf.index_dir + "/"
-    
+
     try:
         test_files(arg_conf.index_dir)
         print("Files are OK")
@@ -239,7 +241,7 @@ def reformat_embeddings(input_str):
         # "neg_ent": tune.randint(1, 30),
         # "neg_rel": tune.randint(1, 30),
         # "bern": tune.randint(0, 2),
-        "opt_method": "Adam", #tune.choice(["SGD", "Adam"]),
+        "opt_method": "Adam",  # tune.choice(["SGD", "Adam"]),
     }
 
     try:
@@ -258,7 +260,7 @@ def reformat_embeddings(input_str):
     else:
         metric = "loss"
         mode = "min"
-        
+
     scheduler = ASHAScheduler(
         time_attr="training_iteration",
         max_t=arg_conf.epoch,
@@ -271,13 +273,12 @@ def reformat_embeddings(input_str):
 
     if arg_conf.use_gpu:
         train_with_resources = tune.with_resources(
-            tune.with_parameters(train, args = arg_conf),
-            resources={"cpu": 8, "gpu": 0.15}
+            tune.with_parameters(train, args=arg_conf),
+            resources={"cpu": 8, "gpu": 0.15},
         )
     else:
         train_with_resources = tune.with_resources(
-            tune.with_parameters(train, args = arg_conf),
-            resources={"cpu": 10, "gpu": 0}
+            tune.with_parameters(train, args=arg_conf), resources={"cpu": 10, "gpu": 0}
         )
 
     tuner = tune.Tuner(
@@ -296,7 +297,7 @@ def reformat_embeddings(input_str):
                 # *Best* checkpoints are determined by these params:
                 checkpoint_score_attribute=metric,
                 checkpoint_score_order=mode,
-            )
+            ),
         ),
     )
     results = tuner.fit()
@@ -304,9 +305,7 @@ def reformat_embeddings(input_str):
     # Write the best result to a file, best_result.txt
     fin_res = results.get_best_result(metric=metric, mode=mode)
     with open(os.path.join(arg_conf.index_dir, "best_result.txt"), "a") as f:
-        f.write(
-            "\n" + str(fin_res)
-        )
+        f.write("\n" + str(fin_res))
 
     if arg_conf.is_analogy:
         print(
@@ -323,7 +322,7 @@ def reformat_embeddings(input_str):
             "Best Config Based on Loss : ",
             fin_res,
         )
-    
+
     # Get the best configuration
     best_config = fin_res.config
     print("best_config: ", best_config)
@@ -366,10 +365,10 @@ def reformat_embeddings(input_str):
                 margin,
             ),
         )
-        
+
         data = findRep(outfile, index_dir, src_type="ckpt")
         formatted_data = reformat_embeddings(data)
-        
+
         # Write the embeddings to outfile
         embeddings_path = embeddings_path.replace(".ckpt", ".txt")
         print("embeddings_path: ", embeddings_path)
diff --git a/src/IR2Vec.cpp b/src/IR2Vec.cpp
index 3e328320..6fe0b3a9 100644
--- a/src/IR2Vec.cpp
+++ b/src/IR2Vec.cpp
@@ -38,7 +38,8 @@ cl::opt<bool> cl_collectIR(
 cl::opt<std::string> cl_iname(cl::Positional, cl::desc("Input file path"),
                               cl::Required, cl::cat(category));
 cl::opt<unsigned> cl_dim("dim", cl::Optional, cl::init(300),
-                         cl::desc("Dimension of the embeddings"), cl::cat(category));                           
+                         cl::desc("Dimension of the embeddings"),
+                         cl::cat(category));
 cl::opt<std::string> cl_oname("o", cl::Required, cl::desc("Output file path"),
                               cl::cat(category));
 // for on demand generation of embeddings taking function name
diff --git a/src/generate_vocabulary.py b/src/generate_vocabulary.py
index fbbef6cc..80068717 100644
--- a/src/generate_vocabulary.py
+++ b/src/generate_vocabulary.py
@@ -10,20 +10,22 @@
 import sys
 import os
 
+
 class VocabularyError(Exception):
     """Custom exception for vocabulary errors."""
+
     pass
 
+
 # Common header strings
 HEADER_GENERATED = "// Generated by IR2Vec. DO NOT EDIT!\n"
-HEADER_VOCABULARY_BASE = (
-    "// This file defines the base class for vocabulary and the factory \n// for creating vocabulary instances used by IR2Vec.\n"
-)
+HEADER_VOCABULARY_BASE = "// This file defines the base class for vocabulary and the factory \n// for creating vocabulary instances used by IR2Vec.\n"
 HEADER_VOCABULARY_CLASS = (
     "// This file defines the {class_name} vocabulary class used by IR2Vec.\n"
 )
 HEADER_CLANG_FORMAT_OFF = "// clang-format off\n"
 
+
 def write_file(file_path, content):
     try:
         with open(file_path, "w") as fw:
@@ -44,7 +46,6 @@ def generate_base_vocabulary_header():
         "#include <vector>\n"
         "#include <memory>\n"
         "#include <stdexcept> // For std::invalid_argument\n"
-
         "namespace IR2Vec {\n\n"
         "using Vector = std::vector<double>;\n\n"
         "class VocabularyBase {\n"
@@ -59,7 +60,8 @@ def generate_base_vocabulary_header():
         "} // namespace IR2Vec\n\n"
         "#endif // __VOCABULARY_H__\n"
     )
-    
+
+
 def generate_vocabulary_class(vocab_file, class_name):
     class_header = (
         f"{HEADER_GENERATED}"
@@ -70,7 +72,7 @@ def generate_vocabulary_class(vocab_file, class_name):
         f"#include <map>\n"
         f"#include <string>\n"
         f"#include <vector>\n"
-        f"#include \"Vocabulary.h\" // Include the base class\n\n"
+        f'#include "Vocabulary.h" // Include the base class\n\n'
         f"namespace IR2Vec {{\n\n"
         f"class {class_name} : public VocabularyBase {{\n"
         f"public:\n"
@@ -82,7 +84,9 @@ def generate_vocabulary_class(vocab_file, class_name):
         f"}};\n"
     )
 
-    opening = f"\nconst std::map<std::string, IR2Vec::Vector> {class_name}::vocabulary = {{\n"
+    opening = (
+        f"\nconst std::map<std::string, IR2Vec::Vector> {class_name}::vocabulary = {{\n"
+    )
     closing = """\
 };
 } // namespace IR2Vec
@@ -95,7 +99,9 @@ def generate_vocabulary_class(vocab_file, class_name):
         for line in fr.readlines():
             key, val = line.strip().split(":")
             e = val.find("]")
-            vector_definitions += f"const IR2Vec::Vector {key}_vector_{dim} = {{  {val[1:e]} }};\n"
+            vector_definitions += (
+                f"const IR2Vec::Vector {key}_vector_{dim} = {{  {val[1:e]} }};\n"
+            )
 
     vocabulary_entries = ""
     with open(vocab_file, "r") as fr:
@@ -105,18 +111,19 @@ def generate_vocabulary_class(vocab_file, class_name):
 
     return class_header + vector_definitions + opening + vocabulary_entries + closing
 
+
 def generate_vocabulary_factory(class_names):
     factory_header = (
         f"{HEADER_GENERATED}"
         f"{HEADER_VOCABULARY_BASE}"
         f"{HEADER_CLANG_FORMAT_OFF}\n"
         "#include <memory>\n"  # For std::unique_ptr
-        "#include \"Vocabulary.h\"\n\n"
+        '#include "Vocabulary.h"\n\n'
     )
 
     # Include headers for each vocabulary class
     for class_name in class_names:
-        factory_header += f"#include \"{class_name}.h\"\n"
+        factory_header += f'#include "{class_name}.h"\n'
 
     factory_header += "\nnamespace IR2Vec {\n\n"
 
@@ -130,52 +137,65 @@ def generate_vocabulary_factory(class_names):
         dim = class_name.replace("Vocabulary", "").replace("D", "")
         factory_cases += f"        case {dim}:\n            return std::make_unique<{class_name}>();\n"
 
-    factory_footer = (
-        """\
+    factory_footer = """\
         default:
             throw std::invalid_argument("Invalid dimension for vocabulary creation.");
     }
 }
 } // namespace IR2Vec\n
 """
-    )
     return factory_header + factory_function + factory_cases + factory_footer
 
+
 def main():
-    parser = argparse.ArgumentParser(description="Generate vocabulary and factory files.")
-    parser.add_argument('type', choices=['vocab', 'base'], help="Type of files to generate.")
-    parser.add_argument('input', help="Input vocabulary text file or dimensions as a comma-separated list.")
-    parser.add_argument('output', help="Output file path.")
+    parser = argparse.ArgumentParser(
+        description="Generate vocabulary and factory files."
+    )
+    parser.add_argument(
+        "type", choices=["vocab", "base"], help="Type of files to generate."
+    )
+    parser.add_argument(
+        "input",
+        help="Input vocabulary text file or dimensions as a comma-separated list.",
+    )
+    parser.add_argument("output", help="Output file path.")
 
     args = parser.parse_args()
     if args.type is None or args.input is None or args.output is None:
         raise VocabularyError("Type, input, or output not provided.")
 
-    if args.type == 'vocab':
+    if args.type == "vocab":
         # Generate vocabulary class based on input file
         vocab_file = args.input
-        
+
         # Extract dimension from the file name
-        dim = os.path.splitext(os.path.basename(vocab_file))[0].split("D")[0].split("Vocab")[-1]
+        dim = (
+            os.path.splitext(os.path.basename(vocab_file))[0]
+            .split("D")[0]
+            .split("Vocab")[-1]
+        )
         class_name = f"Vocabulary{dim}D"
         vocab_class_code = generate_vocabulary_class(vocab_file, class_name)
         output_file = os.path.join(args.output, f"{class_name}.h")
         write_file(output_file, vocab_class_code)
 
-    elif args.type == 'base':
+    elif args.type == "base":
         # Generate base vocabulary header and factory implementation
         base_header_code = generate_base_vocabulary_header()
         output_file = os.path.join(args.output, "Vocabulary.h")
         write_file(output_file, base_header_code)
 
         # Parse the dimensions from the input and generate class names
-        dimensions = args.input.split(',')
-        class_names = [f"Vocabulary{dim}D" for dim in dimensions]  # Create class names based on dimensions
-        
+        dimensions = args.input.split(",")
+        class_names = [
+            f"Vocabulary{dim}D" for dim in dimensions
+        ]  # Create class names based on dimensions
+
         factory_code = generate_vocabulary_factory(class_names)
         output_file = os.path.join(args.output, "VocabularyFactory.cpp")
         write_file(output_file, factory_code)
 
+
 if __name__ == "__main__":
     try:
         main()
diff --git a/src/include/IR2Vec.h b/src/include/IR2Vec.h
index 53c4d8a2..b67d7a0c 100644
--- a/src/include/IR2Vec.h
+++ b/src/include/IR2Vec.h
@@ -42,8 +42,8 @@ class Embeddings {
   // file. Analogous to the command line options that are being used in IR2Vec
   // binary.
   Embeddings(llvm::Module &M, IR2VecMode mode, char level, std::ostream *o,
-             unsigned dim = 300, std::string funcName = "",
-             float WO = 1, float WA = 0.2, float WT = 0.5) {
+             unsigned dim = 300, std::string funcName = "", float WO = 1,
+             float WA = 0.2, float WT = 0.5) {
     vocabulary = VocabularyFactory::createVocabulary(dim)->getVocabulary();
     generateEncodings(M, mode, level, funcName, dim, o, -1, WO, WA, WT);
   }
diff --git a/vocabulary/seedEmbeddingVocab100D.txt b/vocabulary/seedEmbeddingVocab100D.txt
index 9bc6b11a..f026c576 100644
--- a/vocabulary/seedEmbeddingVocab100D.txt
+++ b/vocabulary/seedEmbeddingVocab100D.txt
@@ -60,4 +60,4 @@ variable:[-0.04745717, -0.08637991, 0.1639285, 0.05114051, 0.03557682, -0.129909
 vectorTy:[0.09214257, -0.04254282, -0.2082744, 0.1489835, 0.16765025, 0.12442486, -0.06085881, -0.02866303, 0.18554689, -0.08484387, 0.16206563, -0.01242073, 0.17323564, 0.06107936, -0.09174694, -0.0495562, -0.01831215, 0.04182582, -0.03232431, 0.08220705, 0.01549849, -0.1049181, -0.14759736, -0.03965862, 0.0188947, -0.10498622, -0.1803732, 0.16405664, 0.14511505, -0.10143329, -0.06956764, 0.05751402, 0.02792842, 0.14136231, 0.03651895, -0.11449363, 0.07786072, 0.12971582, 0.20839804, 0.20588775, 0.12468194, 0.00039439, 0.01450426, 0.15445328, 0.01187558, -0.07902222, -0.06411007, -0.05476548, 0.20955466, 0.15925792, 0.14728937, -0.00367325, -0.12067425, -0.11644303, -0.21257977, 0.21884163, -0.01551571, 0.06547339, -0.03973668, -0.09633668, -0.24208052, 0.11933044, -0.16694735, 0.04643975, -0.09887692, 0.05033477, -0.12200441, 0.1662296, -0.01365205, 0.01528752, -0.10588146, -0.08806136, -0.20088676, 0.05208419, -0.03125093, -0.06816924, -0.08123421, 0.0129625, -0.08165248, -0.14954782, -0.08383283, -0.0757656, -0.05523998, -0.13218589, 0.15462421, 0.02526899, -0.02197613, 0.06456108, -0.08720388, 0.10372602, -0.01931399, -0.13187875, 0.08807088, 0.02672064, 0.00975798, -0.11998563, 0.10483557, 0.08746739, 0.13014027, -0.13334289]
 voidTy:[1.39123395e-01, -6.82682246e-02, -1.56617016e-01, -7.60084465e-02, 1.00919925e-01, 1.74035922e-01, -1.56080678e-01, -5.35190031e-02, 1.09261021e-01, -1.35638222e-01, 1.68325156e-01, 1.35690197e-01, -9.90925804e-02, -1.13364339e-01, -1.50621478e-02, 3.74432206e-02, -5.21973036e-02, 2.96468586e-02, 6.75825961e-03, -4.00914066e-02, 6.65328428e-02, 1.53036490e-01, 9.56951156e-02, 9.35865939e-02, 2.17673816e-02, 1.03012696e-01, -1.14968633e-02, -8.92200693e-02, 2.22642094e-01, -1.38613293e-02, -5.15563693e-03, 9.23900530e-02, -1.27655804e-01, 3.78469527e-02, 3.11730765e-02, -1.27757015e-02, 1.26724884e-01, 2.15029139e-02, 1.60096169e-01, 3.17343101e-02, -1.03545554e-01, -1.24611840e-01, -4.03355211e-02, -7.08277300e-02, 8.45108777e-02, -1.04451224e-01, 1.16720572e-01, 1.48278670e-02, 1.84134856e-01, -1.62828434e-02, -1.64145931e-05, -6.86618909e-02, -1.37460783e-01, 7.12566301e-02, 6.22349456e-02, -1.15113214e-01, -1.57700866e-01, 1.28431082e-01, -1.25484526e-01, -2.16529414e-01, -9.91288945e-02, -7.96836540e-02, 7.39990473e-02, -5.88596649e-02, -2.84298491e-02, -5.15003502e-02, 2.06307825e-02, -1.38278484e-01, 3.76871638e-02, -6.28824681e-02, 5.19816801e-02, -1.90032780e-01, -4.50734906e-02, -1.09323092e-01, 5.38111515e-02, 8.90467837e-02, 8.49439353e-02, -2.58022826e-02, -5.37883528e-02, -1.73901737e-01, 1.35274500e-01, -9.15873423e-02, -6.80732578e-02, -9.18437913e-02, 7.81169087e-02, 1.10999197e-01, -8.34695622e-02, -1.86496139e-01, -1.59131661e-01, -5.79612404e-02, -3.66159305e-02, 8.42922255e-02, 1.44578693e-02, 3.29559147e-02, 6.82946946e-03, -5.06191142e-02, 1.35032460e-01, 1.89761311e-01, -1.47584870e-01, -4.90086749e-02]
 xor:[-0.16921039, 0.12408639, -0.034145, 0.13137488, -0.04762559, -0.03108282, 0.11359347, 0.04723426, 0.08214669, -0.08919795, 0.08350056, 0.02434964, -0.0256896, 0.18628141, 0.09431785, 0.02161829, -0.17557403, 0.01662976, 0.15725583, 0.13712473, -0.00457354, 0.03745704, -0.03570157, 0.06576116, 0.06272607, 0.01721253, -0.01528889, 0.06864108, -0.03288332, 0.09796044, 0.09011626, -0.23149484, 0.08231667, 0.04841082, -0.13498706, -0.05696484, -0.05362453, -0.11720514, 0.00099914, -0.23637904, -0.06771386, 0.13900891, 0.19573559, 0.01353323, 0.09763495, 0.16432948, -0.08079959, 0.0538074, 0.07155547, 0.02535601, -0.16881762, -0.02021813, -0.12348865, 0.01615006, -0.05484886, 0.27608117, -0.17019226, -0.05588771, 0.14863412, -0.01168946, 0.22599666, -0.0703093, 0.15534535, -0.12977424, -0.25004354, -0.17313497, 0.13966106, -0.09113417, -0.01070651, -0.19820745, 0.09653766, -0.0886725, 0.04275795, 0.05763382, 0.08995168, -0.0497935, -0.14781837, 0.03620582, -0.16778147, 0.01618672, -0.23161617, 0.20526892, -0.03256932, 0.1128776, 0.05835852, -0.17659847, 0.19213665, 0.1507903, -0.23795094, -0.00641877, 0.10532196, -0.17336258, -0.18323651, 0.01772483, 0.14239813, 0.03483916, 0.12513739, -0.1615746, 0.01592221, 0.06976533]
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\ No newline at end of file
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diff --git a/vocabulary/seedEmbeddingVocab75D.txt b/vocabulary/seedEmbeddingVocab75D.txt
index 08519c56..1db19858 100644
--- a/vocabulary/seedEmbeddingVocab75D.txt
+++ b/vocabulary/seedEmbeddingVocab75D.txt
@@ -60,4 +60,4 @@ variable:[-0.04416586, -0.06529783, 0.06804077, -0.17281267, 0.21564505, -0.1031
 vectorTy:[0.06019246, -0.08325528, 0.06796158, -0.1322501, -0.05250492, -0.05546387, 0.00084803, -0.13031249, 0.10292219, 0.16610621, -0.10459585, 0.21548297, -0.26862848, 0.08505963, 0.07657417, 0.16639674, 0.06083921, -0.00245328, 0.01956977, 0.21975385, -0.16639455, 0.14512713, -0.15006405, -0.2066719, -0.18236274, 0.12637317, -0.09601986, 0.17929196, 0.15004157, -0.2437613, 0.11610509, -0.12576523, -0.13349846, 0.00924278, 0.05477205, 0.11079396, 0.0149577, 0.08251344, 0.02648669, 0.28141958, -0.16844293, 0.02850299, -0.1849258, -0.00724132, -0.19553263, 0.16303328, -0.09641571, -0.08541372, -0.01167152, -0.0498387, 0.13118263, 0.03702982, 0.16826656, -0.12130306, 0.05498985, 0.07180171, 0.01047648, 0.19805974, 0.1132893, 0.12827364, -0.15292895, -0.0969883, 0.15015276, 0.25131726, 0.03910673, -0.12237693, 0.12764196, 0.14949943, -0.11722989, -0.142063, 0.07540323, 0.00866951, -0.16423495, 0.1803801, 0.08819818]
 voidTy:[0.02707169, -0.1911424, 0.18000233, -0.10855684, -0.15720911, -0.16028677, 0.08442728, 0.14063193, 0.14310814, 0.15267418, 0.03571516, 0.17472863, -0.1096759, -0.04809512, 0.15041178, 0.1852203, -0.08891776, 0.06437854, 0.07771051, 0.17514206, -0.18457355, 0.17228611, 0.14382029, 0.17567936, -0.19985509, 0.14512071, 0.00597054, -0.0005212, 0.16043086, 0.01015274, 0.1932167, 0.10049, -0.18615878, -0.14139535, -0.07989334, 0.13810824, 0.00811669, 0.16482183, -0.0484471, 0.05603446, -0.19822212, 0.21622814, -0.13391475, -0.07386104, -0.01220543, -0.17700416, 0.02550385, -0.04609942, 0.19161303, -0.08407282, 0.17597687, 0.01678882, 0.17494556, -0.15565564, 0.18086468, 0.01991182, -0.07939529, -0.04929006, 0.17783763, 0.18024826, -0.14163949, 0.18041377, 0.11955009, 0.00620418, 0.1386835, -0.18642457, 0.09366929, 0.16274834, -0.12151442, -0.19673795, 0.0550727, 0.10491449, 0.14478931, -0.02286906, 0.05187593]
 xor:[-0.14333177, 0.17120288, -0.11569388, -0.22889645, 0.0944928, 0.13705893, -0.1748709, -0.27198055, -0.20403583, -0.00204914, 0.16587155, 0.03005969, 0.03635887, 0.12084309, -0.17170708, 0.01672503, 0.2855867, -0.13425359, 0.2921407, 0.0620962, 0.00266978, -0.0903588, -0.06116274, -0.08814006, -0.04630399, -0.18787035, -0.1754261, -0.20075771, -0.18573092, -0.11999942, -0.14531347, -0.171928, 0.04110451, -0.10397294, -0.03485578, -0.17938605, 0.08046042, -0.19675075, -0.14346175, -0.15566549, -0.0307311, -0.14872791, -0.03878547, -0.00254308, 0.1565295, 0.08097854, 0.16432391, 0.04949491, -0.17471117, 0.2079512, -0.17290911, 0.10197662, 0.01110592, 0.09702181, -0.21049088, -0.05485036, 0.16571115, 0.13224575, -0.00631514, -0.0666507, 0.10324501, 0.04556064, -0.0946413, 0.1366175, -0.14613271, 0.1439316, 0.01403525, -0.06756077, 0.15449193, 0.01570368, 0.00935933, -0.07182793, -0.05895546, 0.05251422, 0.00088228]
-zext:[0.14294301, 0.16004492, -0.133936, 0.17041178, 0.10354671, 0.14033805, -0.18445012, -0.25389433, -0.18157399, -0.06085023, 0.15627292, 0.05945444, 0.0152561, 0.11567469, -0.12275951, 0.01612445, 0.2721165, -0.12822908, 0.29646817, 0.06210494, -0.00723742, -0.1003171, -0.06575806, -0.05716129, -0.04435528, -0.16020222, -0.23530036, -0.18981609, -0.14945146, -0.11926567, -0.08064298, -0.2043876, 0.04202923, -0.10597136, -0.03096929, -0.17040831, 0.0771085, -0.18618186, 0.16527407, -0.14749476, -0.02966438, -0.14139591, 0.0018809, -0.02142575, 0.14795087, 0.07683742, -0.01349613, 0.04579562, -0.17163049, 0.02995836, -0.17292565, 0.11137506, 0.01039091, 0.13139422, -0.19006667, -0.09951284, 0.15722732, 0.12452687, -0.00450555, -0.02189622, 0.13461596, 0.06696767, -0.04037055, -0.13414587, -0.1399019, 0.1544194, 0.01091198, -0.0665535, 0.11422376, 0.00154535, -0.13661395, -0.04903502, -0.05472786, 0.05032588, 0.00220357]
\ No newline at end of file
+zext:[0.14294301, 0.16004492, -0.133936, 0.17041178, 0.10354671, 0.14033805, -0.18445012, -0.25389433, -0.18157399, -0.06085023, 0.15627292, 0.05945444, 0.0152561, 0.11567469, -0.12275951, 0.01612445, 0.2721165, -0.12822908, 0.29646817, 0.06210494, -0.00723742, -0.1003171, -0.06575806, -0.05716129, -0.04435528, -0.16020222, -0.23530036, -0.18981609, -0.14945146, -0.11926567, -0.08064298, -0.2043876, 0.04202923, -0.10597136, -0.03096929, -0.17040831, 0.0771085, -0.18618186, 0.16527407, -0.14749476, -0.02966438, -0.14139591, 0.0018809, -0.02142575, 0.14795087, 0.07683742, -0.01349613, 0.04579562, -0.17163049, 0.02995836, -0.17292565, 0.11137506, 0.01039091, 0.13139422, -0.19006667, -0.09951284, 0.15722732, 0.12452687, -0.00450555, -0.02189622, 0.13461596, 0.06696767, -0.04037055, -0.13414587, -0.1399019, 0.1544194, 0.01091198, -0.0665535, 0.11422376, 0.00154535, -0.13661395, -0.04903502, -0.05472786, 0.05032588, 0.00220357]

From 6cf732bcbc5dd1b57903fb27d5f178b1a220a8c8 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 18:51:47 +0530
Subject: [PATCH 09/17] BugFix

SegFault while generating SYM embeddings with sqlite3.ll

Status - Fixed
---
 src/Symbolic.cpp                               | 2 +-
 src/test-suite/oracle/SYM_llvm17_p/sqlite3.txt | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/src/Symbolic.cpp b/src/Symbolic.cpp
index 59eab2ce..a8f75c9a 100644
--- a/src/Symbolic.cpp
+++ b/src/Symbolic.cpp
@@ -28,7 +28,7 @@ using namespace IR2Vec;
 using abi::__cxa_demangle;
 
 Vector IR2Vec_Symbolic::getValue(std::string key) {
-  Vector vec;
+  Vector vec(DIM, 0);
   if (vocabulary.find(key) == vocabulary.end())
     IR2VEC_DEBUG(errs() << "cannot find key in map : " << key << "\n");
   else
diff --git a/src/test-suite/oracle/SYM_llvm17_p/sqlite3.txt b/src/test-suite/oracle/SYM_llvm17_p/sqlite3.txt
index 7e5ab73b..80aeff05 100644
--- a/src/test-suite/oracle/SYM_llvm17_p/sqlite3.txt
+++ b/src/test-suite/oracle/SYM_llvm17_p/sqlite3.txt
@@ -1 +1 @@
-16914.214172	1840.963612	-8056.768579	21579.305453	-906.262205	-14727.750711	4137.897728	12411.245494	-6586.577729	-37492.964734	-23503.579107	24019.665282	3178.140591	-4723.500753	5407.842244	7912.921167	-3458.007608	3013.286848	-43144.929418	15115.546246	13531.053632	4908.258806	-5820.302126	-7871.660645	3889.551273	-10608.906240	1448.299046	10127.834420	1014.800933	22875.036123	-11217.396606	7132.652507	18359.679961	-541.432431	9754.327113	19447.189792	-5458.297947	1001.803515	1260.266054	429.515246	30198.629348	18262.393044	-3520.028532	10885.129589	9038.867032	23509.461660	-2190.924487	20668.772705	-4464.237518	-15003.251139	10138.776080	7383.103845	-17749.750384	-2971.023222	-14480.273423	9624.178060	19172.138324	8872.303230	-11147.777716	11520.362299	-11789.698651	-2464.035909	7416.324752	381.487262	27537.998172	14634.787225	15946.290784	14708.178722	30142.986762	-11951.156505	-2847.544498	13036.279684	11946.873288	-2281.002892	14178.835480	-9445.563955	-21959.072204	-11427.626110	14.950048	-38164.969681	-15326.407916	-604.005724	40969.720254	-22921.026771	1021.245459	6482.292367	8335.949495	22709.037213	-15671.772052	-634.916992	-16388.880672	-88.372465	-10411.435811	38141.528995	1444.237535	7092.407774	-3015.810814	9673.987822	10480.803898	17367.615576	-5099.230566	-15713.135321	-16277.581293	-37081.163429	-8470.125739	-8772.651484	3261.668365	7589.841179	-31083.117699	-6787.744450	7673.834177	27727.294920	-34264.453388	-1024.019126	18412.358452	9384.182441	16855.866440	7579.575966	-20625.224866	4570.472021	1587.196202	1714.091642	13996.430750	-8729.059297	-1445.531903	-5345.869665	6737.841282	747.071812	5712.435997	1316.571824	-37393.893115	-11137.285625	3457.923217	-7597.644020	934.439596	4310.015852	8189.372290	-13761.423625	12699.496546	-14782.421306	18183.527744	-33691.703352	-517.262789	-11239.399834	-19974.966452	-3504.060581	16885.975472	25761.155805	14053.165475	-6681.317758	-6153.418469	-7325.079859	-30356.658229	-34656.871696	6283.765911	-1758.163001	8988.464773	-1522.551626	-1673.995728	5009.828211	-9656.368676	1426.665633	9335.348034	-11649.556808	-1566.318860	-6295.734684	31544.197891	661.649733	-4830.674434	-14478.650575	-8427.805505	-545.973874	2502.690463	15002.196104	-6300.676337	-33845.085246	-34194.679896	-18256.095681	19120.451916	-4796.204741	-1357.198324	-13606.642437	-3021.046722	-18445.044067	3332.247063	-17445.313795	6821.379552	-1561.129509	-13353.268278	-23115.474322	472.936692	-1898.996769	-9484.504976	-5017.053747	-15333.591479	-5749.949470	18458.335412	4047.862621	8084.542286	3028.814311	1129.188741	-21428.210033	-19353.038396	5786.410664	-7532.951615	21430.806942	19577.147353	459.479687	-18445.971763	-4433.705096	-27620.540913	19828.835893	-17033.978568	4474.063320	-6138.081727	-9289.859715	29276.565507	-13631.410108	-7187.016573	-18083.697502	8781.137185	3854.077762	-34757.682776	32445.021522	20843.803376	-11541.272980	-4382.951260	-1828.406638	2398.068724	18359.047156	21539.259133	-15484.985073	-13341.607581	3250.685126	-6791.923469	-1860.182208	-395.840937	16642.290996	-16803.371117	11532.507834	-15286.484050	-9243.681272	12537.733834	16148.825960	493.864148	8958.987453	-833.191497	-2730.725876	8574.123858	17163.311834	13874.951473	-6250.890749	-19190.295017	-44012.399335	13558.447731	-8566.129714	-6785.466744	-403.105960	-9429.032390	-19264.410796	3993.546581	-5802.231716	24354.598056	802.353023	-11928.318532	16617.764262	-27415.844372	-24580.951602	-13247.186538	2753.917039	-291.838695	-5530.368520	7072.636033	-7053.490037	6451.836519	9084.519734	856.179694	1720.038980	-17071.204665	-10241.571031	-236.670560	18695.744940	8736.999602	-4602.100388	24403.244235	5754.482284	-10343.410231	-6480.548159	858.463332	31.853096	-2285.052285	-20497.891846	-9698.522648	-9221.781745	8000.340915	-9367.694417	14972.296732	1337.978384	1709.723559	9941.290745	
+16914.239737	1840.981802	-8056.817911	21579.296520	-906.316497	-14727.797115	4137.876401	12411.280953	-6586.562078	-37492.964788	-23503.569943	24019.669262	3178.205893	-4723.530913	5407.877824	7912.934175	-3458.056365	3013.332508	-43144.954157	15115.587790	13531.105645	4908.255795	-5820.292873	-7871.662108	3889.509265	-10608.904523	1448.248686	10127.800801	1014.830101	22875.078128	-11217.396718	7132.679162	18359.717864	-541.438802	9754.257737	19447.217860	-5458.309037	1001.817028	1260.314788	429.579484	30198.570108	18262.427973	-3520.038288	10885.075944	9038.812628	23509.483794	-2190.944232	20668.774651	-4464.250265	-15003.294026	10138.764168	7383.131005	-17749.769020	-2971.040689	-14480.221331	9624.128167	19172.139926	8872.318439	-11147.725663	11520.408401	-11789.705205	-2464.030694	7416.382130	381.455867	27538.019036	14634.785688	15946.268038	14708.151110	30142.996306	-11951.106543	-2847.509524	13036.231473	11946.824998	-2281.054380	14178.859285	-9445.563182	-21959.103018	-11427.606841	14.912112	-38164.977695	-15326.420244	-603.970317	40969.728375	-22921.064083	1021.286277	6482.304357	8335.991977	22709.055046	-15671.783603	-634.899949	-16388.840622	-88.332475	-10411.444594	38141.554630	1444.259569	7092.443766	-3015.865027	9673.946988	10480.841084	17367.560567	-5099.253692	-15713.142826	-16277.614827	-37081.121866	-8470.087895	-8772.695145	3261.617294	7589.888150	-31083.167349	-6787.786026	7673.836229	27727.297982	-34264.481233	-1024.028217	18412.394089	9384.169209	16855.899739	7579.575724	-20625.235935	4570.505635	1587.160090	1714.117516	13996.453395	-8729.095252	-1445.557029	-5345.863490	6737.833569	747.055197	5712.422391	1316.527676	-37393.900410	-11137.265844	3457.965800	-7597.648260	934.481986	4310.048412	8189.398913	-13761.396469	12699.444894	-14782.420681	18183.541891	-33691.705523	-517.295608	-11239.351844	-19974.972755	-3504.103564	16885.970313	25761.163018	14053.129381	-6681.360009	-6153.439637	-7325.041675	-30356.665962	-34656.875345	6283.795943	-1758.203649	8988.503016	-1522.547334	-1674.032901	5009.783444	-9656.320812	1426.717636	9335.323929	-11649.579409	-1566.264106	-6295.697504	31544.229203	661.708670	-4830.708982	-14478.667480	-8427.860576	-546.023168	2502.741735	15002.197463	-6300.629787	-33845.061481	-34194.710072	-18256.110279	19120.491248	-4796.227638	-1357.236390	-13606.687977	-3021.077596	-18445.043532	3332.226701	-17445.271984	6821.364180	-1561.079711	-13353.216394	-23115.517049	472.908057	-1899.034310	-9484.498702	-5017.093886	-15333.627221	-5750.003736	18458.345214	4047.839714	8084.505585	3028.808299	1129.165422	-21428.166980	-19353.033854	5786.461144	-7532.987514	21430.789465	19577.137261	459.527968	-18446.000678	-4433.673779	-27620.511413	19828.856589	-17033.992846	4474.089827	-6138.113014	-9289.834124	29276.613087	-13631.383000	-7187.036561	-18083.712847	8781.180054	3854.047879	-34757.666827	32445.019073	20843.795104	-11541.262047	-4382.903431	-1828.347616	2398.051750	18359.092437	21539.233307	-15484.982620	-13341.666013	3250.718549	-6791.955915	-1860.230467	-395.803710	16642.242498	-16803.428262	11532.492267	-15286.435404	-9243.626667	12537.684768	16148.850751	493.906823	8958.963143	-833.235873	-2730.757479	8574.134740	17163.255209	13874.967743	-6250.944147	-19190.288741	-44012.376401	13558.481189	-8566.152492	-6785.430969	-403.129459	-9429.027801	-19264.395602	3993.598922	-5802.239763	24354.552599	802.349434	-11928.311191	16617.765536	-27415.878160	-24581.004090	-13247.229632	2753.975665	-291.792378	-5530.310934	7072.628982	-7053.494335	6451.878346	9084.561345	856.200951	1720.079651	-17071.271865	-10241.539163	-236.615965	18695.779908	8736.988008	-4602.147639	24403.284676	5754.462882	-10343.425092	-6480.598526	858.419776	31.810921	-2285.101590	-20497.857665	-9698.512085	-9221.734122	8000.390882	-9367.662544	14972.344512	1337.949051	1709.686658	9941.308840	

From 792067b8c81a9bc348a2cf1853a4b69af84f8816 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 19:22:00 +0530
Subject: [PATCH 10/17] Fixed cp build/vocabulary.h import error

---
 Manylinux2014_Compliant_Source/pkg/build.sh | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/build.sh b/Manylinux2014_Compliant_Source/pkg/build.sh
index a43ec996..c252eb7b 100644
--- a/Manylinux2014_Compliant_Source/pkg/build.sh
+++ b/Manylinux2014_Compliant_Source/pkg/build.sh
@@ -18,7 +18,7 @@ cd ..
 cmake -DCMAKE_BUILD_TYPE=Release .. && make -j"$(nproc)" && make install
 
 cd ..
-cp build/vocabulary.h Manylinux2014_Compliant_Source/pkg/ir2vec/
+cp build/include/Vocabulary*.h Manylinux2014_Compliant_Source/pkg/ir2vec/
 cp src/include/utils.h Manylinux2014_Compliant_Source/pkg/ir2vec/
 cp src/include/IR2Vec.h Manylinux2014_Compliant_Source/pkg/ir2vec/
 cp build/src/version.h Manylinux2014_Compliant_Source/pkg/ir2vec/

From d4444ab22f1bb577f775701cb26c1c2752c376e4 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 19:34:09 +0530
Subject: [PATCH 11/17] Debug commit - compile error in core.cpp

---
 Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index 360d9a37..41be2579 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -20,7 +20,6 @@
 #include "llvm/ADT/DenseMap.h"
 #include "llvm/ADT/MapVector.h"
 #include "llvm/ADT/SmallSet.h"
-#include "llvm/ADT/SmallVector.h"
 #include "llvm/ADT/StringExtras.h"
 #include "llvm/ADT/StringRef.h"
 #include "llvm/IR/CFG.h"
@@ -87,7 +86,7 @@ class IR2VecHandler {
   std::string getLevel() { return level; }
 
   // Function to get Program Vector List
-  PyObject *createProgramVectorList(llvm::SmallVector<double, DIM> llvmPgmVec) {
+  PyObject *createProgramVectorList(IR2Vec::Vector llvmPgmVec) {
     // for PgmVector
     PyObject *PgmList = PyList_New(0);
     for (auto &Pgm_it : llvmPgmVec)
@@ -138,7 +137,7 @@ class IR2VecHandler {
     PyObject *instructionVectorList = PyList_New(0);
     for (auto &Inst_it : llvmInstVecMap) {
       PyObject *instructionVector = PyList_New(0);
-      // copy this SmallVector into c++ Vector
+      // copy this IR2Vec::Vector into c++ Vector
       for (auto &Vec_it : Inst_it.second) {
         PyList_Append(instructionVector, PyFloat_FromDouble(Vec_it));
       }
@@ -178,7 +177,7 @@ class IR2VecHandler {
     }
 
     if (type == OpType::Program) {
-      llvm::SmallVector<double, DIM> progVector = emb->getProgramVector();
+      IR2Vec::Vector progVector = emb->getProgramVector();
       return this->createProgramVectorList(progVector);
     } else if (type == OpType::Function) {
       llvm::SmallMapVector<const llvm::Function *, IR2Vec::Vector, 16>

From b7973f6c09d1f05cfb2be856e262e8abaee5c6b0 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 20:12:05 +0530
Subject: [PATCH 12/17] Extending API to accomodate DIM parameter

---
 .../pkg/ir2vec/core.cpp                       | 22 +++++++++++--------
 1 file changed, 13 insertions(+), 9 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index 41be2579..26499819 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -74,11 +74,13 @@ class IR2VecHandler {
   std::string outputFile;
   std::string mode;
   std::string level;
+  uint dim;
 
 public:
   IR2VecHandler(std::string fileName, std::string outputFile, std::string mode,
-                std::string level)
-      : fileName(fileName), outputFile(outputFile), mode(mode), level(level) {}
+                std::string level, uint dim)
+      : fileName(fileName), outputFile(outputFile), mode(mode), level(level),
+        dim(dim) {}
 
   std::string getFile() { return fileName; }
   std::string getOutputFile() { return outputFile; }
@@ -165,10 +167,10 @@ class IR2VecHandler {
       ofstream output;
       output.open(outFile, ios_base::app);
       emb = std::move(new IR2Vec::Embeddings(
-          *Module, ir2vecMode, (this->level)[0], &output, funcName));
+          *Module, ir2vecMode, (this->level)[0], &output, funcName, this->dim));
     } else {
       emb = std::move(new IR2Vec::Embeddings(
-          *Module, ir2vecMode, (this->level)[0], nullptr, funcName));
+          *Module, ir2vecMode, (this->level)[0], nullptr, funcName, this->dim));
     }
 
     if (!emb) {
@@ -292,9 +294,10 @@ PyObject *getFunctionVectors(PyObject *self, PyObject *args) {
 
 IR2VecHandlerObject *createIR2VECObject(const char *filename,
                                         const char *output_file,
-                                        const char *mode, const char *level) {
+                                        const char *mode, const char *level,
+                                        uint dim) {
   IR2VecHandler *ir2vecObj =
-      new IR2VecHandler(filename, output_file, mode, level);
+      new IR2VecHandler(filename, output_file, mode, level, dim);
   if (!ir2vecObj) {
     return nullptr;
   }
@@ -313,9 +316,10 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
   const char *mode = "\0";
   const char *level = "\0";
   const char *output_file = "\0";
+  uint dim = 300;
 
-  if (!PyArg_ParseTuple(args, "sss|s", &filename, &mode, &level,
-                        &output_file)) {
+  if (!PyArg_ParseTuple(args, "sss|si", &filename, &mode, &level, &output_file,
+                        &dim)) {
     // raise error here
     PyErr_SetString(PyExc_TypeError, "Invalid Arguments");
     Py_RETURN_NONE;
@@ -347,7 +351,7 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
   }
 
   IR2VecHandlerObject *ir2vecObj =
-      createIR2VECObject(filename, output_file, mode, level);
+      createIR2VECObject(filename, output_file, mode, level, dim);
 
   if (!ir2vecObj) {
     PyErr_SetString(PyExc_TypeError, "Embedding Object not created");

From 1c6d22bfe059a9a4dd9cc63fe04aeb6d607e1f6a Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 20:28:12 +0530
Subject: [PATCH 13/17] Modifying solitary test to verify DIM param
 functionality

---
 Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py b/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
index 5399eab3..5bc56287 100644
--- a/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
+++ b/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
@@ -160,7 +160,7 @@ def test_fa_f():
         path = (TEST_SUITE_DIR / file).resolve()
         full_path = str(path).strip()
 
-        initObj = ir2vec.initEmbedding(full_path, "fa", "f")
+        initObj = ir2vec.initEmbedding(full_path, "fa", "f", None, 300)
         assert initObj is not None
 
         functionVectorMap = ir2vec.getFunctionVectors(initObj)

From f3db69af5a29555af9d46139b4b14f0d4d1574d1 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Tue, 8 Oct 2024 20:37:23 +0530
Subject: [PATCH 14/17] bugfix - segfault error from output_file = None. Status
 - fixed

---
 .../pkg/ir2vec/core.cpp                          | 16 +++++++++++++---
 .../pkg/tests/test_ir2vec.py                     |  2 +-
 2 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index 26499819..3bacc232 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -315,11 +315,11 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
   const char *filename = "\0";
   const char *mode = "\0";
   const char *level = "\0";
-  const char *output_file = "\0";
+  const char *output_file = nullptr;
   uint dim = 300;
 
-  if (!PyArg_ParseTuple(args, "sss|si", &filename, &mode, &level, &output_file,
-                        &dim)) {
+  if (!PyArg_ParseTuple(args, "sss|Is", &filename, &mode, &level, &dim,
+                        &output_file)) {
     // raise error here
     PyErr_SetString(PyExc_TypeError, "Invalid Arguments");
     Py_RETURN_NONE;
@@ -330,6 +330,16 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
     Py_RETURN_NONE;
   }
 
+  if (output_file == nullptr) {
+    // Regular case : initObj = ir2vec.initEmbedding(full_path, "fa", "f") sets
+    // output file to default value
+
+    // This is to cover for the case
+    // initObj = ir2vec.initEmbedding(full_path, "fa", "f", None, 300)
+
+    output_file = "\0";
+  }
+
   if (string(output_file).empty() == false) {
     if (fileNotValid(output_file)) {
       PyErr_SetString(PyExc_TypeError, "Invalid Output File Path");
diff --git a/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py b/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
index 5bc56287..118bc99a 100644
--- a/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
+++ b/Manylinux2014_Compliant_Source/pkg/tests/test_ir2vec.py
@@ -160,7 +160,7 @@ def test_fa_f():
         path = (TEST_SUITE_DIR / file).resolve()
         full_path = str(path).strip()
 
-        initObj = ir2vec.initEmbedding(full_path, "fa", "f", None, 300)
+        initObj = ir2vec.initEmbedding(full_path, "fa", "f", 300)
         assert initObj is not None
 
         functionVectorMap = ir2vec.getFunctionVectors(initObj)

From 5bb4de37fef03172698cb006f03165f378a45612 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Wed, 9 Oct 2024 18:37:31 +0530
Subject: [PATCH 15/17] test commit - syntax check in test_ir2vec.py

---
 .../pkg/ir2vec/core.cpp                       | 12 +---
 README.md                                     | 59 +++++++++++--------
 2 files changed, 35 insertions(+), 36 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index 3bacc232..3807074e 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -315,7 +315,7 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
   const char *filename = "\0";
   const char *mode = "\0";
   const char *level = "\0";
-  const char *output_file = nullptr;
+  const char *output_file = "\0";
   uint dim = 300;
 
   if (!PyArg_ParseTuple(args, "sss|Is", &filename, &mode, &level, &dim,
@@ -330,16 +330,6 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
     Py_RETURN_NONE;
   }
 
-  if (output_file == nullptr) {
-    // Regular case : initObj = ir2vec.initEmbedding(full_path, "fa", "f") sets
-    // output file to default value
-
-    // This is to cover for the case
-    // initObj = ir2vec.initEmbedding(full_path, "fa", "f", None, 300)
-
-    output_file = "\0";
-  }
-
   if (string(output_file).empty() == false) {
     if (fileNotValid(output_file)) {
       PyErr_SetString(PyExc_TypeError, "Invalid Output File Path");
diff --git a/README.md b/README.md
index 8aa42518..0b0d2bd1 100644
--- a/README.md
+++ b/README.md
@@ -27,31 +27,31 @@ Please see [here](https://compilers.cse.iith.ac.in/projects/ir2vec/) for more de
 
 ## Table Of Contents
 - [IR2Vec](#ir2vec)
-  - [LLVM Version Archive](#llvm-version-archive)
-  - [Table Of Contents](#table-of-contents)
-  - [Installation](#installation)
-  - [Python](#python)
-  - [Cpp](#cpp)
-  - [Requirements](#requirements)
-  - [Building from source](#building-from-source)
-  - [Generating program representations](#generating-program-representations)
-    - [Using Binary](#using-binary)
-      - [Command-Line options](#command-line-options)
-      - [Flow-Aware Embeddings](#flow-aware-embeddings)
-      - [Symbolic Embeddings](#symbolic-embeddings)
-  - [Using Libraries](#using-libraries)
-  - [Using Python package (IR2Vec-Wheels)](#using-python-package-ir2vec-wheels)
-    - [Initialization -ir2vec.initEmbedding](#initialization--ir2vecinitembedding)
-    - [getProgramVector](#getprogramvector)
-    - [getFunctionVectors](#getfunctionvectors)
-    - [getInstructionVectors](#getinstructionvectors)
-  - [Example](#example)
-  - [Binaries, Libraries and Wheels - Artifacts](#binaries-libraries-and-wheels---artifacts)
-  - [Experiments](#experiments)
-    - [Note](#note)
-  - [Citation](#citation)
-  - [Contributions](#contributions)
-  - [License](#license)
+    - [LLVM Version Archive](#llvm-version-archive)
+    - [Table Of Contents](#table-of-contents)
+    - [Installation](#installation)
+    - [Python](#python)
+    - [Cpp](#cpp)
+    - [Requirements](#requirements)
+    - [Building from source](#building-from-source)
+    - [Generating program representations](#generating-program-representations)
+        - [Using Binary](#using-binary)
+            - [Command-Line options](#command-line-options)
+            - [Flow-Aware Embeddings](#flow-aware-embeddings)
+            - [Symbolic Embeddings](#symbolic-embeddings)
+    - [Using Libraries](#using-libraries)
+    - [Using Python package (IR2Vec-Wheels)](#using-python-package-ir2vec-wheels)
+        - [Initialization -ir2vec.initEmbedding](#initialization--ir2vecinitembedding)
+        - [getProgramVector](#getprogramvector)
+        - [getFunctionVectors](#getfunctionvectors)
+        - [getInstructionVectors](#getinstructionvectors)
+    - [Example](#example)
+    - [Binaries, Libraries and Wheels - Artifacts](#binaries-libraries-and-wheels---artifacts)
+    - [Experiments](#experiments)
+        - [Note](#note)
+    - [Citation](#citation)
+    - [Contributions](#contributions)
+    - [License](#license)
 
 ## Installation
 
@@ -218,6 +218,8 @@ for (auto val : pgmVec)
 * `file_path`: str - Path to the `.ll` or `.bc` file.
 * `encoding_type`: str - Choose `fa` (Flow-Aware) or `sym` (Symbolic).
 * `level`: str - Choose `p` for program-level or `f` for function-level.
+* `dim`: uint - Choose from `[300, 100, 75]`. Default value is `300`
+* `output_file`: str - If provided, embeddings are saved to this file. Default is an empty string.
 
 **Returns:**
 
@@ -228,7 +230,14 @@ for (auto val : pgmVec)
 ```python
 import ir2vec
 
+# Approach 1
 initObj = ir2vec.initEmbedding("/path/to/file.ll", "fa", "p")
+
+# Approach 2
+initObj = ir2vec.initEmbedding("/path/to/file.ll", "fa", "p", 100)
+
+# Approach 3
+initObj = ir2vec.initEmbedding("/path/to/file.ll", "fa", "p", 100, "output.txt")
 ```
 
 ### getProgramVector

From 564d3643f4494bb47e66e9a4681a98f1a85e49a7 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Wed, 9 Oct 2024 18:58:24 +0530
Subject: [PATCH 16/17] format changes

---
 .../pkg/ir2vec/core.cpp                       |  1 -
 README.md                                     | 50 +++++++++----------
 2 files changed, 25 insertions(+), 26 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index 3807074e..b8182b5b 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -139,7 +139,6 @@ class IR2VecHandler {
     PyObject *instructionVectorList = PyList_New(0);
     for (auto &Inst_it : llvmInstVecMap) {
       PyObject *instructionVector = PyList_New(0);
-      // copy this IR2Vec::Vector into c++ Vector
       for (auto &Vec_it : Inst_it.second) {
         PyList_Append(instructionVector, PyFloat_FromDouble(Vec_it));
       }
diff --git a/README.md b/README.md
index 0b0d2bd1..86f9db9a 100644
--- a/README.md
+++ b/README.md
@@ -27,31 +27,31 @@ Please see [here](https://compilers.cse.iith.ac.in/projects/ir2vec/) for more de
 
 ## Table Of Contents
 - [IR2Vec](#ir2vec)
-    - [LLVM Version Archive](#llvm-version-archive)
-    - [Table Of Contents](#table-of-contents)
-    - [Installation](#installation)
-    - [Python](#python)
-    - [Cpp](#cpp)
-    - [Requirements](#requirements)
-    - [Building from source](#building-from-source)
-    - [Generating program representations](#generating-program-representations)
-        - [Using Binary](#using-binary)
-            - [Command-Line options](#command-line-options)
-            - [Flow-Aware Embeddings](#flow-aware-embeddings)
-            - [Symbolic Embeddings](#symbolic-embeddings)
-    - [Using Libraries](#using-libraries)
-    - [Using Python package (IR2Vec-Wheels)](#using-python-package-ir2vec-wheels)
-        - [Initialization -ir2vec.initEmbedding](#initialization--ir2vecinitembedding)
-        - [getProgramVector](#getprogramvector)
-        - [getFunctionVectors](#getfunctionvectors)
-        - [getInstructionVectors](#getinstructionvectors)
-    - [Example](#example)
-    - [Binaries, Libraries and Wheels - Artifacts](#binaries-libraries-and-wheels---artifacts)
-    - [Experiments](#experiments)
-        - [Note](#note)
-    - [Citation](#citation)
-    - [Contributions](#contributions)
-    - [License](#license)
+  - [LLVM Version Archive](#llvm-version-archive)
+  - [Table Of Contents](#table-of-contents)
+  - [Installation](#installation)
+  - [Python](#python)
+  - [Cpp](#cpp)
+  - [Requirements](#requirements)
+  - [Building from source](#building-from-source)
+  - [Generating program representations](#generating-program-representations)
+    - [Using Binary](#using-binary)
+      - [Command-Line options](#command-line-options)
+      - [Flow-Aware Embeddings](#flow-aware-embeddings)
+      - [Symbolic Embeddings](#symbolic-embeddings)
+  - [Using Libraries](#using-libraries)
+  - [Using Python package (IR2Vec-Wheels)](#using-python-package-ir2vec-wheels)
+    - [Initialization -ir2vec.initEmbedding](#initialization--ir2vecinitembedding)
+    - [getProgramVector](#getprogramvector)
+    - [getFunctionVectors](#getfunctionvectors)
+    - [getInstructionVectors](#getinstructionvectors)
+  - [Example](#example)
+  - [Binaries, Libraries and Wheels - Artifacts](#binaries-libraries-and-wheels---artifacts)
+  - [Experiments](#experiments)
+    - [Note](#note)
+  - [Citation](#citation)
+  - [Contributions](#contributions)
+  - [License](#license)
 
 ## Installation
 

From 12da415f8faca34ce815ce266403acf01657ae98 Mon Sep 17 00:00:00 2001
From: nishant-sachdeva <nishant.sachdeva@research.iiit.ac.in>
Date: Wed, 9 Oct 2024 19:36:59 +0530
Subject: [PATCH 17/17] BugFix - accomodating core.cpp to changed ordering of
 function params

---
 Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
index b8182b5b..565bd775 100644
--- a/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
+++ b/Manylinux2014_Compliant_Source/pkg/ir2vec/core.cpp
@@ -74,11 +74,11 @@ class IR2VecHandler {
   std::string outputFile;
   std::string mode;
   std::string level;
-  uint dim;
+  unsigned dim;
 
 public:
   IR2VecHandler(std::string fileName, std::string outputFile, std::string mode,
-                std::string level, uint dim)
+                std::string level, unsigned dim)
       : fileName(fileName), outputFile(outputFile), mode(mode), level(level),
         dim(dim) {}
 
@@ -166,10 +166,10 @@ class IR2VecHandler {
       ofstream output;
       output.open(outFile, ios_base::app);
       emb = std::move(new IR2Vec::Embeddings(
-          *Module, ir2vecMode, (this->level)[0], &output, funcName, this->dim));
+          *Module, ir2vecMode, (this->level)[0], &output, this->dim, funcName));
     } else {
       emb = std::move(new IR2Vec::Embeddings(
-          *Module, ir2vecMode, (this->level)[0], nullptr, funcName, this->dim));
+          *Module, ir2vecMode, (this->level)[0], nullptr, this->dim, funcName));
     }
 
     if (!emb) {
@@ -294,7 +294,7 @@ PyObject *getFunctionVectors(PyObject *self, PyObject *args) {
 IR2VecHandlerObject *createIR2VECObject(const char *filename,
                                         const char *output_file,
                                         const char *mode, const char *level,
-                                        uint dim) {
+                                        unsigned dim) {
   IR2VecHandler *ir2vecObj =
       new IR2VecHandler(filename, output_file, mode, level, dim);
   if (!ir2vecObj) {
@@ -315,7 +315,7 @@ PyObject *initEmbedding(PyObject *self, PyObject *args) {
   const char *mode = "\0";
   const char *level = "\0";
   const char *output_file = "\0";
-  uint dim = 300;
+  unsigned dim = 300;
 
   if (!PyArg_ParseTuple(args, "sss|Is", &filename, &mode, &level, &dim,
                         &output_file)) {