# Path: opt_einsum/parser.py
# def get_symbol(i: int) -> str:
#     """Get the symbol corresponding to int ``i`` - runs through the usual 52
#     letters before resorting to unicode characters, starting at ``chr(192)``.
# 
#     **Examples:**
# 
#     ```python
#     get_symbol(2)
#     #> 'c'
# 
#     get_symbol(200)
#     #> 'Ŕ'
# 
#     get_symbol(20000)
#     #> '京'
#     ```
#     """
#     if i < 52:
#         return _einsum_symbols_base[i]
#     return chr(i + 140)
# 
# Path: opt_einsum/typing.py



from typing import Any, Collection, Dict, FrozenSet, Iterable, List, Optional, Tuple, Union, overload
from .parser import get_symbol
from .typing import ArrayIndexType, PathType
import numpy as np

    size_dict = {get_symbol(i): np.random.randint(d_min, d_max + 1) for i in range(num_inds)}

    # generate a list of indices to place either once or twice
    def gen():
        for i, ix in enumerate(size_dict):
            # generate an outer index
            if i < n_out:
                output.append(ix)
                yield ix
            # generate a bond
            else:
                yield ix
                yield ix

    # add the indices randomly to the inputs
    for i, ix in enumerate(np.random.permutation(list(gen()))):
        # make sure all inputs have at least one index
        if i < n:
            inputs[i] += ix
        else:
            # don't add any traces on same op
            where = np.random.randint(0, n)
            while ix in inputs[where]:
                where = np.random.randint(0, n)

            inputs[where] += ix

    # possibly add the same global dim to every arg
    if global_dim:

# Path: opt_einsum/parser.py
# def get_symbol(i: int) -> str:
#     """Get the symbol corresponding to int ``i`` - runs through the usual 52
#     letters before resorting to unicode characters, starting at ``chr(192)``.
# 
#     **Examples:**
# 
#     ```python
#     get_symbol(2)
#     #> 'c'
# 
#     get_symbol(200)
#     #> 'Ŕ'
# 
#     get_symbol(20000)
#     #> '京'
#     ```
#     """
#     if i < 52:
#         return _einsum_symbols_base[i]
#     return chr(i + 140)
# 
# Path: opt_einsum/typing.py



# Path: opt_einsum/helpers.py
from typing import Any, Collection, Dict, FrozenSet, Iterable, List, Optional, Tuple, Union, overload
from .parser import get_symbol
from .typing import ArrayIndexType, PathType
import numpy as np


    size_dict = {get_symbol(i): np.random.randint(d_min, d_max + 1) for i in range(num_inds)}

    # generate a list of indices to place either once or twice
    def gen():
        for i, ix in enumerate(size_dict):
            # generate an outer index
            if i < n_out:
                output.append(ix)
                yield ix
            # generate a bond
            else:
                yield ix
                yield ix

    # add the indices randomly to the inputs
    for i, ix in enumerate(np.random.permutation(list(gen()))):
        # make sure all inputs have at least one index
        if i < n:
            inputs[i] += ix
        else:
            # don't add any traces on same op
            where = np.random.randint(0, n)
            while ix in inputs[where]:
                where = np.random.randint(0, n)

            inputs[where] += ix

    # possibly add the same global dim to every arg
    if global_dim:

        gdim = get_symbol(num_inds)