remove parametric Cut Gen from the repository

Author: ComboProblem

src/minimalFunctionCache/minimalFunctionCacheGen/breakpoint_cache_setup.py

@@ -0,0 +1,74 @@
+from cutgeneratingfunctionorgy.igp import *
+import os
+import time
+import tomllib
+
+"""
+Estimates for distrbuted computations from previous breakpoints computations. 
+"""
+def validate_breakpoint_paths():
+    """
+    Read and validate existance of paths.
+    
+    Returns: dictonary of paths.
+    """
+    paths = {}
+    return paths
+
+def read_breakpoint_params(paths):
+    """
+    Read current cache computaiton parameters.
+    
+    Input: paths - dictionary of current path information
+    Ouput: params - dictonary of read parameters.
+    """
+    return params
+
+def write_breakpoint_metadata(paths, params):
+    """
+    Write metadata for breakpoint cache as a toml file. 
+
+    Metadata is max length of each file, number of files, number of breakpoints.
+    """
+    pass
+
+def read_breakpoint_metadata(path_to_metadata):
+    """
+    Output: dictionary of metadata information; using 
+    """
+    breakpoint_metadata = {}
+    return breakpoint_metadata
+
+def write_inital_block_generation_job_script(paths, params, previous_breakpoint_metadata):
+    """
+    Write a bash script to distach cluster jobs to distrubte generation of the next breakpoints.
+    From the previous breakpoint files are treaded as "blocks" and are assigned to a row/column in square like
+    "block" grid. The job script works on generation of and joinining of row of the underlying grid.
+    Rows are made of indepenet blocks so this generation based on the row blocks can be distrubted.
+    
+    This writes to the temp folder. Results are targeted TEMP/NUM_BKPT
+    """
+    block_row_length = int(round(math.sqrt(previous_breakpoint_metadata["number_of_files"])))
+
+
+def write_row_block_collection_job_script(paths, params, previous_breakpoint_metadata, block_row_length):
+    """
+    Write a bash script to dispatch cluster jobs which works on joining block rows. 
+
+    To ensure uniqueness every row is checked against every other. 
+
+    Jobs are assigned based on triangular numbers. We have (number_of_block_rows-1)number_of_block_rows/2 to check to ensure uniqueness.
+    At most 2*number_of_bloc_rows batchs with number_of_block_rows/2 jobs are required. 
+    With this we want to ensure a block_row can only be read/write in one job per batch (to prevent I/O waiting).
+
+
+    Script is written to temp folder.
+    """
+    pass
+
+def create_write_row_files_job_script(paths, params):
+    """
+    
+    """
+
+